Commit ·
2b5c16a
1
Parent(s): 954b84f
init
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/README.md +202 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_config.json +26 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_model.safetensors +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/additional_config.json +1 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/configuration.json +11 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/generation_config.json +7 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/optimizer.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/rng_state.pth +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/scheduler.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/sft_args.json +246 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/trainer_state.json +261 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/training_args.bin +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/README.md +202 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_config.json +26 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_model.safetensors +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/additional_config.json +1 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/configuration.json +11 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/generation_config.json +7 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/optimizer.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/rng_state.pth +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/scheduler.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/sft_args.json +246 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/trainer_state.json +2223 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/training_args.bin +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/README.md +202 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_config.json +26 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_model.safetensors +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/additional_config.json +1 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/configuration.json +11 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/generation_config.json +7 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/optimizer.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/rng_state.pth +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/scheduler.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/sft_args.json +246 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/trainer_state.json +370 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/training_args.bin +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/README.md +202 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_config.json +26 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_model.safetensors +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/additional_config.json +1 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/configuration.json +11 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/generation_config.json +7 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/optimizer.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/rng_state.pth +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/scheduler.pt +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/sft_args.json +246 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/trainer_state.json +479 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/training_args.bin +3 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/README.md +202 -0
- phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/adapter_config.json +26 -0
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [],
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 23 |
+
"task_type": "CAUSAL_LM",
|
| 24 |
+
"use_dora": false,
|
| 25 |
+
"use_rslora": false
|
| 26 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5483b93231491dcdadb5963ea78a69366e0ab6aa03183648b5e5e587b20398e
|
| 3 |
+
size 50792328
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/additional_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/configuration.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_cfg": {
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"sft_type": "lora",
|
| 6 |
+
"tuner_backend": "peft",
|
| 7 |
+
"template_type": "phi3-vl",
|
| 8 |
+
"dtype": "bf16",
|
| 9 |
+
"system": null
|
| 10 |
+
}
|
| 11 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"eos_token_id": 32000,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"pad_token_id": 32000,
|
| 6 |
+
"transformers_version": "4.46.3"
|
| 7 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09ec37f8a196a72a97ca9967df7a30c712b3483c36593a578a3c2f921f48fb93
|
| 3 |
+
size 100878458
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f0ebda40a3924e216542bcb94795169a0eced7e9d1672dd24ea3dc5bd826259
|
| 3 |
+
size 14244
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c1a5a353aa956358db56e4e8110f1cf929e76f1178ff0441174be62305b48b0e
|
| 3 |
+
size 1064
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/sft_args.json
ADDED
|
@@ -0,0 +1,246 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_type": "phi3_5-vision-instruct",
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"full_determinism": false,
|
| 6 |
+
"sft_type": "lora",
|
| 7 |
+
"freeze_parameters": [],
|
| 8 |
+
"freeze_vit": false,
|
| 9 |
+
"freeze_parameters_ratio": 0.0,
|
| 10 |
+
"additional_trainable_parameters": [],
|
| 11 |
+
"tuner_backend": "peft",
|
| 12 |
+
"template_type": "phi3-vl",
|
| 13 |
+
"output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
|
| 14 |
+
"add_output_dir_suffix": true,
|
| 15 |
+
"ddp_backend": null,
|
| 16 |
+
"ddp_find_unused_parameters": null,
|
| 17 |
+
"ddp_broadcast_buffers": null,
|
| 18 |
+
"ddp_timeout": 1800,
|
| 19 |
+
"seed": 42,
|
| 20 |
+
"resume_from_checkpoint": null,
|
| 21 |
+
"resume_only_model": false,
|
| 22 |
+
"ignore_data_skip": false,
|
| 23 |
+
"dtype": "bf16",
|
| 24 |
+
"packing": false,
|
| 25 |
+
"train_backend": "transformers",
|
| 26 |
+
"tp": 1,
|
| 27 |
+
"pp": 1,
|
| 28 |
+
"min_lr": null,
|
| 29 |
+
"sequence_parallel": false,
|
| 30 |
+
"model_kwargs": {},
|
| 31 |
+
"loss_name": null,
|
| 32 |
+
"dataset": [
|
| 33 |
+
"llamafactory/OpenO1-SFT"
|
| 34 |
+
],
|
| 35 |
+
"val_dataset": [],
|
| 36 |
+
"dataset_seed": 42,
|
| 37 |
+
"dataset_test_ratio": 0.01,
|
| 38 |
+
"use_loss_scale": false,
|
| 39 |
+
"loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
|
| 40 |
+
"system": null,
|
| 41 |
+
"tools_prompt": "react_en",
|
| 42 |
+
"max_length": 2048,
|
| 43 |
+
"truncation_strategy": "delete",
|
| 44 |
+
"check_dataset_strategy": "none",
|
| 45 |
+
"streaming": false,
|
| 46 |
+
"streaming_val_size": 0,
|
| 47 |
+
"streaming_buffer_size": 16384,
|
| 48 |
+
"model_name": [
|
| 49 |
+
null,
|
| 50 |
+
null
|
| 51 |
+
],
|
| 52 |
+
"model_author": [
|
| 53 |
+
null,
|
| 54 |
+
null
|
| 55 |
+
],
|
| 56 |
+
"quant_method": null,
|
| 57 |
+
"quantization_bit": 0,
|
| 58 |
+
"hqq_axis": 0,
|
| 59 |
+
"hqq_dynamic_config_path": null,
|
| 60 |
+
"bnb_4bit_comp_dtype": "bf16",
|
| 61 |
+
"bnb_4bit_quant_type": "nf4",
|
| 62 |
+
"bnb_4bit_use_double_quant": true,
|
| 63 |
+
"bnb_4bit_quant_storage": null,
|
| 64 |
+
"rescale_image": -1,
|
| 65 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 66 |
+
"target_regex": null,
|
| 67 |
+
"modules_to_save": [],
|
| 68 |
+
"lora_rank": 8,
|
| 69 |
+
"lora_alpha": 32,
|
| 70 |
+
"lora_dropout": 0.05,
|
| 71 |
+
"lora_bias_trainable": "none",
|
| 72 |
+
"lora_dtype": null,
|
| 73 |
+
"lora_lr_ratio": null,
|
| 74 |
+
"use_rslora": false,
|
| 75 |
+
"use_dora": false,
|
| 76 |
+
"init_lora_weights": true,
|
| 77 |
+
"fourier_n_frequency": 2000,
|
| 78 |
+
"fourier_scaling": 300.0,
|
| 79 |
+
"rope_scaling": null,
|
| 80 |
+
"boft_block_size": 4,
|
| 81 |
+
"boft_block_num": 0,
|
| 82 |
+
"boft_n_butterfly_factor": 1,
|
| 83 |
+
"boft_dropout": 0.0,
|
| 84 |
+
"vera_rank": 256,
|
| 85 |
+
"vera_projection_prng_key": 0,
|
| 86 |
+
"vera_dropout": 0.0,
|
| 87 |
+
"vera_d_initial": 0.1,
|
| 88 |
+
"adapter_act": "gelu",
|
| 89 |
+
"adapter_length": 128,
|
| 90 |
+
"use_galore": false,
|
| 91 |
+
"galore_target_modules": null,
|
| 92 |
+
"galore_rank": 128,
|
| 93 |
+
"galore_update_proj_gap": 50,
|
| 94 |
+
"galore_scale": 1.0,
|
| 95 |
+
"galore_proj_type": "std",
|
| 96 |
+
"galore_optim_per_parameter": false,
|
| 97 |
+
"galore_with_embedding": false,
|
| 98 |
+
"galore_quantization": false,
|
| 99 |
+
"galore_proj_quant": false,
|
| 100 |
+
"galore_proj_bits": 4,
|
| 101 |
+
"galore_proj_group_size": 256,
|
| 102 |
+
"galore_cos_threshold": 0.4,
|
| 103 |
+
"galore_gamma_proj": 2,
|
| 104 |
+
"galore_queue_size": 5,
|
| 105 |
+
"adalora_target_r": 8,
|
| 106 |
+
"adalora_init_r": 12,
|
| 107 |
+
"adalora_tinit": 0,
|
| 108 |
+
"adalora_tfinal": 0,
|
| 109 |
+
"adalora_deltaT": 1,
|
| 110 |
+
"adalora_beta1": 0.85,
|
| 111 |
+
"adalora_beta2": 0.85,
|
| 112 |
+
"adalora_orth_reg_weight": 0.5,
|
| 113 |
+
"ia3_feedforward_modules": [],
|
| 114 |
+
"llamapro_num_new_blocks": 4,
|
| 115 |
+
"llamapro_num_groups": null,
|
| 116 |
+
"neftune_noise_alpha": null,
|
| 117 |
+
"neftune_backend": "transformers",
|
| 118 |
+
"lisa_activated_layers": 0,
|
| 119 |
+
"lisa_step_interval": 20,
|
| 120 |
+
"reft_layer_key": null,
|
| 121 |
+
"reft_layers": null,
|
| 122 |
+
"reft_rank": 4,
|
| 123 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 124 |
+
"reft_args": null,
|
| 125 |
+
"use_liger": false,
|
| 126 |
+
"gradient_checkpointing": true,
|
| 127 |
+
"vit_use_gc": true,
|
| 128 |
+
"deepspeed": null,
|
| 129 |
+
"batch_size": 1,
|
| 130 |
+
"eval_batch_size": 1,
|
| 131 |
+
"auto_find_batch_size": false,
|
| 132 |
+
"num_train_epochs": 1,
|
| 133 |
+
"max_steps": 1000,
|
| 134 |
+
"optim": "adamw_torch",
|
| 135 |
+
"adam_beta1": 0.9,
|
| 136 |
+
"adam_beta2": 0.95,
|
| 137 |
+
"adam_epsilon": 1e-08,
|
| 138 |
+
"learning_rate": 0.0001,
|
| 139 |
+
"weight_decay": 0.1,
|
| 140 |
+
"gradient_accumulation_steps": 16,
|
| 141 |
+
"max_grad_norm": 1,
|
| 142 |
+
"predict_with_generate": false,
|
| 143 |
+
"lr_scheduler_type": "cosine",
|
| 144 |
+
"lr_scheduler_kwargs": {},
|
| 145 |
+
"warmup_ratio": 0.05,
|
| 146 |
+
"warmup_steps": 0,
|
| 147 |
+
"eval_steps": 50,
|
| 148 |
+
"save_steps": 50,
|
| 149 |
+
"save_only_model": false,
|
| 150 |
+
"save_total_limit": null,
|
| 151 |
+
"logging_steps": 5,
|
| 152 |
+
"acc_steps": 1,
|
| 153 |
+
"dataloader_num_workers": 1,
|
| 154 |
+
"dataloader_pin_memory": true,
|
| 155 |
+
"dataloader_drop_last": false,
|
| 156 |
+
"push_to_hub": false,
|
| 157 |
+
"hub_model_id": null,
|
| 158 |
+
"hub_token": null,
|
| 159 |
+
"hub_private_repo": false,
|
| 160 |
+
"hub_strategy": "every_save",
|
| 161 |
+
"test_oom_error": false,
|
| 162 |
+
"disable_tqdm": false,
|
| 163 |
+
"lazy_tokenize": true,
|
| 164 |
+
"preprocess_num_proc": 1,
|
| 165 |
+
"use_flash_attn": null,
|
| 166 |
+
"ignore_args_error": false,
|
| 167 |
+
"check_model_is_latest": true,
|
| 168 |
+
"logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
|
| 169 |
+
"report_to": [
|
| 170 |
+
"tensorboard"
|
| 171 |
+
],
|
| 172 |
+
"acc_strategy": "token",
|
| 173 |
+
"save_on_each_node": false,
|
| 174 |
+
"evaluation_strategy": "steps",
|
| 175 |
+
"save_strategy": "steps",
|
| 176 |
+
"save_safetensors": true,
|
| 177 |
+
"gpu_memory_fraction": null,
|
| 178 |
+
"include_num_input_tokens_seen": false,
|
| 179 |
+
"local_repo_path": null,
|
| 180 |
+
"custom_register_path": null,
|
| 181 |
+
"custom_dataset_info": null,
|
| 182 |
+
"device_map_config": null,
|
| 183 |
+
"device_max_memory": [],
|
| 184 |
+
"max_new_tokens": 2048,
|
| 185 |
+
"do_sample": null,
|
| 186 |
+
"temperature": null,
|
| 187 |
+
"top_k": null,
|
| 188 |
+
"top_p": null,
|
| 189 |
+
"repetition_penalty": null,
|
| 190 |
+
"num_beams": 1,
|
| 191 |
+
"fsdp": "",
|
| 192 |
+
"fsdp_config": null,
|
| 193 |
+
"sequence_parallel_size": 1,
|
| 194 |
+
"model_layer_cls_name": null,
|
| 195 |
+
"metric_warmup_step": 0,
|
| 196 |
+
"fsdp_num": 1,
|
| 197 |
+
"per_device_train_batch_size": null,
|
| 198 |
+
"per_device_eval_batch_size": null,
|
| 199 |
+
"eval_strategy": null,
|
| 200 |
+
"self_cognition_sample": 0,
|
| 201 |
+
"train_dataset_mix_ratio": 0.0,
|
| 202 |
+
"train_dataset_mix_ds": [
|
| 203 |
+
"ms-bench"
|
| 204 |
+
],
|
| 205 |
+
"train_dataset_sample": -1,
|
| 206 |
+
"val_dataset_sample": null,
|
| 207 |
+
"safe_serialization": null,
|
| 208 |
+
"only_save_model": null,
|
| 209 |
+
"neftune_alpha": null,
|
| 210 |
+
"deepspeed_config_path": null,
|
| 211 |
+
"model_cache_dir": null,
|
| 212 |
+
"lora_dropout_p": null,
|
| 213 |
+
"lora_target_modules": [],
|
| 214 |
+
"lora_target_regex": null,
|
| 215 |
+
"lora_modules_to_save": [],
|
| 216 |
+
"boft_target_modules": [],
|
| 217 |
+
"boft_modules_to_save": [],
|
| 218 |
+
"vera_target_modules": [],
|
| 219 |
+
"vera_modules_to_save": [],
|
| 220 |
+
"ia3_target_modules": [],
|
| 221 |
+
"ia3_modules_to_save": [],
|
| 222 |
+
"custom_train_dataset_path": [],
|
| 223 |
+
"custom_val_dataset_path": [],
|
| 224 |
+
"device_map_config_path": null,
|
| 225 |
+
"push_hub_strategy": null,
|
| 226 |
+
"use_self_cognition": false,
|
| 227 |
+
"is_multimodal": true,
|
| 228 |
+
"is_vision": true,
|
| 229 |
+
"lora_use_embedding": false,
|
| 230 |
+
"lora_use_all": false,
|
| 231 |
+
"lora_m2s_use_embedding": false,
|
| 232 |
+
"lora_m2s_use_ln": false,
|
| 233 |
+
"torch_dtype": "torch.bfloat16",
|
| 234 |
+
"fp16": false,
|
| 235 |
+
"bf16": true,
|
| 236 |
+
"rank": -1,
|
| 237 |
+
"local_rank": -1,
|
| 238 |
+
"world_size": 1,
|
| 239 |
+
"local_world_size": 1,
|
| 240 |
+
"bnb_4bit_compute_dtype": "torch.bfloat16",
|
| 241 |
+
"load_in_4bit": false,
|
| 242 |
+
"load_in_8bit": false,
|
| 243 |
+
"train_sampler_random": true,
|
| 244 |
+
"train_type": "sft",
|
| 245 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
|
| 246 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/trainer_state.json
ADDED
|
@@ -0,0 +1,261 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.64535284,
|
| 3 |
+
"best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100",
|
| 4 |
+
"epoch": 0.012837382457716871,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"acc": 0.77952504,
|
| 13 |
+
"epoch": 0.0001283738245771687,
|
| 14 |
+
"grad_norm": 0.15511861443519592,
|
| 15 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 16 |
+
"loss": 0.82634771,
|
| 17 |
+
"memory(GiB)": 11.42,
|
| 18 |
+
"step": 1,
|
| 19 |
+
"train_speed(iter/s)": 0.092016
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"acc": 0.77674872,
|
| 23 |
+
"epoch": 0.0006418691228858435,
|
| 24 |
+
"grad_norm": 0.14591480791568756,
|
| 25 |
+
"learning_rate": 1e-05,
|
| 26 |
+
"loss": 0.8159712,
|
| 27 |
+
"memory(GiB)": 12.15,
|
| 28 |
+
"step": 5,
|
| 29 |
+
"train_speed(iter/s)": 0.10552
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"acc": 0.77379012,
|
| 33 |
+
"epoch": 0.001283738245771687,
|
| 34 |
+
"grad_norm": 0.151850163936615,
|
| 35 |
+
"learning_rate": 2e-05,
|
| 36 |
+
"loss": 0.8015564,
|
| 37 |
+
"memory(GiB)": 12.15,
|
| 38 |
+
"step": 10,
|
| 39 |
+
"train_speed(iter/s)": 0.107013
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"acc": 0.7784133,
|
| 43 |
+
"epoch": 0.0019256073686575307,
|
| 44 |
+
"grad_norm": 0.15997682511806488,
|
| 45 |
+
"learning_rate": 3e-05,
|
| 46 |
+
"loss": 0.79284344,
|
| 47 |
+
"memory(GiB)": 12.15,
|
| 48 |
+
"step": 15,
|
| 49 |
+
"train_speed(iter/s)": 0.110995
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"acc": 0.7815052,
|
| 53 |
+
"epoch": 0.002567476491543374,
|
| 54 |
+
"grad_norm": 0.14427673816680908,
|
| 55 |
+
"learning_rate": 4e-05,
|
| 56 |
+
"loss": 0.78122258,
|
| 57 |
+
"memory(GiB)": 12.9,
|
| 58 |
+
"step": 20,
|
| 59 |
+
"train_speed(iter/s)": 0.111462
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"acc": 0.7915082,
|
| 63 |
+
"epoch": 0.0032093456144292177,
|
| 64 |
+
"grad_norm": 0.1590222716331482,
|
| 65 |
+
"learning_rate": 5e-05,
|
| 66 |
+
"loss": 0.7404335,
|
| 67 |
+
"memory(GiB)": 12.9,
|
| 68 |
+
"step": 25,
|
| 69 |
+
"train_speed(iter/s)": 0.112268
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"acc": 0.80291214,
|
| 73 |
+
"epoch": 0.0038512147373150614,
|
| 74 |
+
"grad_norm": 0.13638992607593536,
|
| 75 |
+
"learning_rate": 6e-05,
|
| 76 |
+
"loss": 0.68063788,
|
| 77 |
+
"memory(GiB)": 12.9,
|
| 78 |
+
"step": 30,
|
| 79 |
+
"train_speed(iter/s)": 0.111517
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"acc": 0.79923964,
|
| 83 |
+
"epoch": 0.0044930838602009054,
|
| 84 |
+
"grad_norm": 0.1271245777606964,
|
| 85 |
+
"learning_rate": 7e-05,
|
| 86 |
+
"loss": 0.68800621,
|
| 87 |
+
"memory(GiB)": 12.9,
|
| 88 |
+
"step": 35,
|
| 89 |
+
"train_speed(iter/s)": 0.110574
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"acc": 0.80240812,
|
| 93 |
+
"epoch": 0.005134952983086748,
|
| 94 |
+
"grad_norm": 0.11937133222818375,
|
| 95 |
+
"learning_rate": 8e-05,
|
| 96 |
+
"loss": 0.69939818,
|
| 97 |
+
"memory(GiB)": 12.9,
|
| 98 |
+
"step": 40,
|
| 99 |
+
"train_speed(iter/s)": 0.109469
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"acc": 0.78317132,
|
| 103 |
+
"epoch": 0.005776822105972592,
|
| 104 |
+
"grad_norm": 0.1665358543395996,
|
| 105 |
+
"learning_rate": 9e-05,
|
| 106 |
+
"loss": 0.75735736,
|
| 107 |
+
"memory(GiB)": 12.9,
|
| 108 |
+
"step": 45,
|
| 109 |
+
"train_speed(iter/s)": 0.108968
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"acc": 0.80379133,
|
| 113 |
+
"epoch": 0.0064186912288584355,
|
| 114 |
+
"grad_norm": 0.14883440732955933,
|
| 115 |
+
"learning_rate": 0.0001,
|
| 116 |
+
"loss": 0.6824338,
|
| 117 |
+
"memory(GiB)": 12.9,
|
| 118 |
+
"step": 50,
|
| 119 |
+
"train_speed(iter/s)": 0.109163
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.0064186912288584355,
|
| 123 |
+
"eval_acc": 0.8081346555994846,
|
| 124 |
+
"eval_loss": 0.6729312539100647,
|
| 125 |
+
"eval_runtime": 195.4613,
|
| 126 |
+
"eval_samples_per_second": 6.436,
|
| 127 |
+
"eval_steps_per_second": 6.436,
|
| 128 |
+
"step": 50
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"acc": 0.7984889,
|
| 132 |
+
"epoch": 0.007060560351744279,
|
| 133 |
+
"grad_norm": 0.16687534749507904,
|
| 134 |
+
"learning_rate": 9.999316524962345e-05,
|
| 135 |
+
"loss": 0.7141089,
|
| 136 |
+
"memory(GiB)": 12.9,
|
| 137 |
+
"step": 55,
|
| 138 |
+
"train_speed(iter/s)": 0.078646
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"acc": 0.79216175,
|
| 142 |
+
"epoch": 0.007702429474630123,
|
| 143 |
+
"grad_norm": 0.17546051740646362,
|
| 144 |
+
"learning_rate": 9.997266286704631e-05,
|
| 145 |
+
"loss": 0.72419305,
|
| 146 |
+
"memory(GiB)": 12.9,
|
| 147 |
+
"step": 60,
|
| 148 |
+
"train_speed(iter/s)": 0.080466
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"acc": 0.80358973,
|
| 152 |
+
"epoch": 0.008344298597515967,
|
| 153 |
+
"grad_norm": 0.16079305112361908,
|
| 154 |
+
"learning_rate": 9.993849845741524e-05,
|
| 155 |
+
"loss": 0.67717872,
|
| 156 |
+
"memory(GiB)": 12.9,
|
| 157 |
+
"step": 65,
|
| 158 |
+
"train_speed(iter/s)": 0.082252
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"acc": 0.80615339,
|
| 162 |
+
"epoch": 0.008986167720401811,
|
| 163 |
+
"grad_norm": 0.1396234929561615,
|
| 164 |
+
"learning_rate": 9.989068136093873e-05,
|
| 165 |
+
"loss": 0.70638905,
|
| 166 |
+
"memory(GiB)": 12.9,
|
| 167 |
+
"step": 70,
|
| 168 |
+
"train_speed(iter/s)": 0.084
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"acc": 0.79676814,
|
| 172 |
+
"epoch": 0.009628036843287653,
|
| 173 |
+
"grad_norm": 0.1340462565422058,
|
| 174 |
+
"learning_rate": 9.98292246503335e-05,
|
| 175 |
+
"loss": 0.71420946,
|
| 176 |
+
"memory(GiB)": 12.9,
|
| 177 |
+
"step": 75,
|
| 178 |
+
"train_speed(iter/s)": 0.08542
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"acc": 0.79325166,
|
| 182 |
+
"epoch": 0.010269905966173496,
|
| 183 |
+
"grad_norm": 0.13259001076221466,
|
| 184 |
+
"learning_rate": 9.975414512725057e-05,
|
| 185 |
+
"loss": 0.71777782,
|
| 186 |
+
"memory(GiB)": 12.9,
|
| 187 |
+
"step": 80,
|
| 188 |
+
"train_speed(iter/s)": 0.086655
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"acc": 0.81705523,
|
| 192 |
+
"epoch": 0.01091177508905934,
|
| 193 |
+
"grad_norm": 0.15833652019500732,
|
| 194 |
+
"learning_rate": 9.966546331768191e-05,
|
| 195 |
+
"loss": 0.62526927,
|
| 196 |
+
"memory(GiB)": 12.9,
|
| 197 |
+
"step": 85,
|
| 198 |
+
"train_speed(iter/s)": 0.088014
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"acc": 0.80851898,
|
| 202 |
+
"epoch": 0.011553644211945184,
|
| 203 |
+
"grad_norm": 0.1456330418586731,
|
| 204 |
+
"learning_rate": 9.956320346634876e-05,
|
| 205 |
+
"loss": 0.68010745,
|
| 206 |
+
"memory(GiB)": 12.9,
|
| 207 |
+
"step": 90,
|
| 208 |
+
"train_speed(iter/s)": 0.088941
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"acc": 0.81903477,
|
| 212 |
+
"epoch": 0.012195513334831027,
|
| 213 |
+
"grad_norm": 0.14285945892333984,
|
| 214 |
+
"learning_rate": 9.944739353007344e-05,
|
| 215 |
+
"loss": 0.6090106,
|
| 216 |
+
"memory(GiB)": 12.9,
|
| 217 |
+
"step": 95,
|
| 218 |
+
"train_speed(iter/s)": 0.089902
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"acc": 0.82483721,
|
| 222 |
+
"epoch": 0.012837382457716871,
|
| 223 |
+
"grad_norm": 0.1478744000196457,
|
| 224 |
+
"learning_rate": 9.931806517013612e-05,
|
| 225 |
+
"loss": 0.59807158,
|
| 226 |
+
"memory(GiB)": 12.9,
|
| 227 |
+
"step": 100,
|
| 228 |
+
"train_speed(iter/s)": 0.090663
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.012837382457716871,
|
| 232 |
+
"eval_acc": 0.813768508772143,
|
| 233 |
+
"eval_loss": 0.645352840423584,
|
| 234 |
+
"eval_runtime": 195.755,
|
| 235 |
+
"eval_samples_per_second": 6.426,
|
| 236 |
+
"eval_steps_per_second": 6.426,
|
| 237 |
+
"step": 100
|
| 238 |
+
}
|
| 239 |
+
],
|
| 240 |
+
"logging_steps": 5,
|
| 241 |
+
"max_steps": 1000,
|
| 242 |
+
"num_input_tokens_seen": 0,
|
| 243 |
+
"num_train_epochs": 1,
|
| 244 |
+
"save_steps": 50,
|
| 245 |
+
"stateful_callbacks": {
|
| 246 |
+
"TrainerControl": {
|
| 247 |
+
"args": {
|
| 248 |
+
"should_epoch_stop": false,
|
| 249 |
+
"should_evaluate": false,
|
| 250 |
+
"should_log": false,
|
| 251 |
+
"should_save": true,
|
| 252 |
+
"should_training_stop": false
|
| 253 |
+
},
|
| 254 |
+
"attributes": {}
|
| 255 |
+
}
|
| 256 |
+
},
|
| 257 |
+
"total_flos": 3.887966208382157e+16,
|
| 258 |
+
"train_batch_size": 1,
|
| 259 |
+
"trial_name": null,
|
| 260 |
+
"trial_params": null
|
| 261 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
|
| 3 |
+
size 7480
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [],
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 23 |
+
"task_type": "CAUSAL_LM",
|
| 24 |
+
"use_dora": false,
|
| 25 |
+
"use_rslora": false
|
| 26 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02b047ba6ad4ac3fc6b0980080d4d3c0cf69641417e5b7ac54d06a2e96ba9eea
|
| 3 |
+
size 50792328
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/additional_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/configuration.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_cfg": {
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"sft_type": "lora",
|
| 6 |
+
"tuner_backend": "peft",
|
| 7 |
+
"template_type": "phi3-vl",
|
| 8 |
+
"dtype": "bf16",
|
| 9 |
+
"system": null
|
| 10 |
+
}
|
| 11 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"eos_token_id": 32000,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"pad_token_id": 32000,
|
| 6 |
+
"transformers_version": "4.46.3"
|
| 7 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0d13564f1b33e65744b4ae00df396b38868578d8aedd49db3aac4d78b0697067
|
| 3 |
+
size 100878458
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2b78ad66f92e3ca930b0c6b16fe26286bf9120471a4b51538be0d69091971a43
|
| 3 |
+
size 14244
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4077036d99500a708f700f75da24d51b5300e184ad35fda49dc5a4df5596cca2
|
| 3 |
+
size 1064
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/sft_args.json
ADDED
|
@@ -0,0 +1,246 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_type": "phi3_5-vision-instruct",
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"full_determinism": false,
|
| 6 |
+
"sft_type": "lora",
|
| 7 |
+
"freeze_parameters": [],
|
| 8 |
+
"freeze_vit": false,
|
| 9 |
+
"freeze_parameters_ratio": 0.0,
|
| 10 |
+
"additional_trainable_parameters": [],
|
| 11 |
+
"tuner_backend": "peft",
|
| 12 |
+
"template_type": "phi3-vl",
|
| 13 |
+
"output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
|
| 14 |
+
"add_output_dir_suffix": true,
|
| 15 |
+
"ddp_backend": null,
|
| 16 |
+
"ddp_find_unused_parameters": null,
|
| 17 |
+
"ddp_broadcast_buffers": null,
|
| 18 |
+
"ddp_timeout": 1800,
|
| 19 |
+
"seed": 42,
|
| 20 |
+
"resume_from_checkpoint": null,
|
| 21 |
+
"resume_only_model": false,
|
| 22 |
+
"ignore_data_skip": false,
|
| 23 |
+
"dtype": "bf16",
|
| 24 |
+
"packing": false,
|
| 25 |
+
"train_backend": "transformers",
|
| 26 |
+
"tp": 1,
|
| 27 |
+
"pp": 1,
|
| 28 |
+
"min_lr": null,
|
| 29 |
+
"sequence_parallel": false,
|
| 30 |
+
"model_kwargs": {},
|
| 31 |
+
"loss_name": null,
|
| 32 |
+
"dataset": [
|
| 33 |
+
"llamafactory/OpenO1-SFT"
|
| 34 |
+
],
|
| 35 |
+
"val_dataset": [],
|
| 36 |
+
"dataset_seed": 42,
|
| 37 |
+
"dataset_test_ratio": 0.01,
|
| 38 |
+
"use_loss_scale": false,
|
| 39 |
+
"loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
|
| 40 |
+
"system": null,
|
| 41 |
+
"tools_prompt": "react_en",
|
| 42 |
+
"max_length": 2048,
|
| 43 |
+
"truncation_strategy": "delete",
|
| 44 |
+
"check_dataset_strategy": "none",
|
| 45 |
+
"streaming": false,
|
| 46 |
+
"streaming_val_size": 0,
|
| 47 |
+
"streaming_buffer_size": 16384,
|
| 48 |
+
"model_name": [
|
| 49 |
+
null,
|
| 50 |
+
null
|
| 51 |
+
],
|
| 52 |
+
"model_author": [
|
| 53 |
+
null,
|
| 54 |
+
null
|
| 55 |
+
],
|
| 56 |
+
"quant_method": null,
|
| 57 |
+
"quantization_bit": 0,
|
| 58 |
+
"hqq_axis": 0,
|
| 59 |
+
"hqq_dynamic_config_path": null,
|
| 60 |
+
"bnb_4bit_comp_dtype": "bf16",
|
| 61 |
+
"bnb_4bit_quant_type": "nf4",
|
| 62 |
+
"bnb_4bit_use_double_quant": true,
|
| 63 |
+
"bnb_4bit_quant_storage": null,
|
| 64 |
+
"rescale_image": -1,
|
| 65 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 66 |
+
"target_regex": null,
|
| 67 |
+
"modules_to_save": [],
|
| 68 |
+
"lora_rank": 8,
|
| 69 |
+
"lora_alpha": 32,
|
| 70 |
+
"lora_dropout": 0.05,
|
| 71 |
+
"lora_bias_trainable": "none",
|
| 72 |
+
"lora_dtype": null,
|
| 73 |
+
"lora_lr_ratio": null,
|
| 74 |
+
"use_rslora": false,
|
| 75 |
+
"use_dora": false,
|
| 76 |
+
"init_lora_weights": true,
|
| 77 |
+
"fourier_n_frequency": 2000,
|
| 78 |
+
"fourier_scaling": 300.0,
|
| 79 |
+
"rope_scaling": null,
|
| 80 |
+
"boft_block_size": 4,
|
| 81 |
+
"boft_block_num": 0,
|
| 82 |
+
"boft_n_butterfly_factor": 1,
|
| 83 |
+
"boft_dropout": 0.0,
|
| 84 |
+
"vera_rank": 256,
|
| 85 |
+
"vera_projection_prng_key": 0,
|
| 86 |
+
"vera_dropout": 0.0,
|
| 87 |
+
"vera_d_initial": 0.1,
|
| 88 |
+
"adapter_act": "gelu",
|
| 89 |
+
"adapter_length": 128,
|
| 90 |
+
"use_galore": false,
|
| 91 |
+
"galore_target_modules": null,
|
| 92 |
+
"galore_rank": 128,
|
| 93 |
+
"galore_update_proj_gap": 50,
|
| 94 |
+
"galore_scale": 1.0,
|
| 95 |
+
"galore_proj_type": "std",
|
| 96 |
+
"galore_optim_per_parameter": false,
|
| 97 |
+
"galore_with_embedding": false,
|
| 98 |
+
"galore_quantization": false,
|
| 99 |
+
"galore_proj_quant": false,
|
| 100 |
+
"galore_proj_bits": 4,
|
| 101 |
+
"galore_proj_group_size": 256,
|
| 102 |
+
"galore_cos_threshold": 0.4,
|
| 103 |
+
"galore_gamma_proj": 2,
|
| 104 |
+
"galore_queue_size": 5,
|
| 105 |
+
"adalora_target_r": 8,
|
| 106 |
+
"adalora_init_r": 12,
|
| 107 |
+
"adalora_tinit": 0,
|
| 108 |
+
"adalora_tfinal": 0,
|
| 109 |
+
"adalora_deltaT": 1,
|
| 110 |
+
"adalora_beta1": 0.85,
|
| 111 |
+
"adalora_beta2": 0.85,
|
| 112 |
+
"adalora_orth_reg_weight": 0.5,
|
| 113 |
+
"ia3_feedforward_modules": [],
|
| 114 |
+
"llamapro_num_new_blocks": 4,
|
| 115 |
+
"llamapro_num_groups": null,
|
| 116 |
+
"neftune_noise_alpha": null,
|
| 117 |
+
"neftune_backend": "transformers",
|
| 118 |
+
"lisa_activated_layers": 0,
|
| 119 |
+
"lisa_step_interval": 20,
|
| 120 |
+
"reft_layer_key": null,
|
| 121 |
+
"reft_layers": null,
|
| 122 |
+
"reft_rank": 4,
|
| 123 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 124 |
+
"reft_args": null,
|
| 125 |
+
"use_liger": false,
|
| 126 |
+
"gradient_checkpointing": true,
|
| 127 |
+
"vit_use_gc": true,
|
| 128 |
+
"deepspeed": null,
|
| 129 |
+
"batch_size": 1,
|
| 130 |
+
"eval_batch_size": 1,
|
| 131 |
+
"auto_find_batch_size": false,
|
| 132 |
+
"num_train_epochs": 1,
|
| 133 |
+
"max_steps": 1000,
|
| 134 |
+
"optim": "adamw_torch",
|
| 135 |
+
"adam_beta1": 0.9,
|
| 136 |
+
"adam_beta2": 0.95,
|
| 137 |
+
"adam_epsilon": 1e-08,
|
| 138 |
+
"learning_rate": 0.0001,
|
| 139 |
+
"weight_decay": 0.1,
|
| 140 |
+
"gradient_accumulation_steps": 16,
|
| 141 |
+
"max_grad_norm": 1,
|
| 142 |
+
"predict_with_generate": false,
|
| 143 |
+
"lr_scheduler_type": "cosine",
|
| 144 |
+
"lr_scheduler_kwargs": {},
|
| 145 |
+
"warmup_ratio": 0.05,
|
| 146 |
+
"warmup_steps": 0,
|
| 147 |
+
"eval_steps": 50,
|
| 148 |
+
"save_steps": 50,
|
| 149 |
+
"save_only_model": false,
|
| 150 |
+
"save_total_limit": null,
|
| 151 |
+
"logging_steps": 5,
|
| 152 |
+
"acc_steps": 1,
|
| 153 |
+
"dataloader_num_workers": 1,
|
| 154 |
+
"dataloader_pin_memory": true,
|
| 155 |
+
"dataloader_drop_last": false,
|
| 156 |
+
"push_to_hub": false,
|
| 157 |
+
"hub_model_id": null,
|
| 158 |
+
"hub_token": null,
|
| 159 |
+
"hub_private_repo": false,
|
| 160 |
+
"hub_strategy": "every_save",
|
| 161 |
+
"test_oom_error": false,
|
| 162 |
+
"disable_tqdm": false,
|
| 163 |
+
"lazy_tokenize": true,
|
| 164 |
+
"preprocess_num_proc": 1,
|
| 165 |
+
"use_flash_attn": null,
|
| 166 |
+
"ignore_args_error": false,
|
| 167 |
+
"check_model_is_latest": true,
|
| 168 |
+
"logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
|
| 169 |
+
"report_to": [
|
| 170 |
+
"tensorboard"
|
| 171 |
+
],
|
| 172 |
+
"acc_strategy": "token",
|
| 173 |
+
"save_on_each_node": false,
|
| 174 |
+
"evaluation_strategy": "steps",
|
| 175 |
+
"save_strategy": "steps",
|
| 176 |
+
"save_safetensors": true,
|
| 177 |
+
"gpu_memory_fraction": null,
|
| 178 |
+
"include_num_input_tokens_seen": false,
|
| 179 |
+
"local_repo_path": null,
|
| 180 |
+
"custom_register_path": null,
|
| 181 |
+
"custom_dataset_info": null,
|
| 182 |
+
"device_map_config": null,
|
| 183 |
+
"device_max_memory": [],
|
| 184 |
+
"max_new_tokens": 2048,
|
| 185 |
+
"do_sample": null,
|
| 186 |
+
"temperature": null,
|
| 187 |
+
"top_k": null,
|
| 188 |
+
"top_p": null,
|
| 189 |
+
"repetition_penalty": null,
|
| 190 |
+
"num_beams": 1,
|
| 191 |
+
"fsdp": "",
|
| 192 |
+
"fsdp_config": null,
|
| 193 |
+
"sequence_parallel_size": 1,
|
| 194 |
+
"model_layer_cls_name": null,
|
| 195 |
+
"metric_warmup_step": 0,
|
| 196 |
+
"fsdp_num": 1,
|
| 197 |
+
"per_device_train_batch_size": null,
|
| 198 |
+
"per_device_eval_batch_size": null,
|
| 199 |
+
"eval_strategy": null,
|
| 200 |
+
"self_cognition_sample": 0,
|
| 201 |
+
"train_dataset_mix_ratio": 0.0,
|
| 202 |
+
"train_dataset_mix_ds": [
|
| 203 |
+
"ms-bench"
|
| 204 |
+
],
|
| 205 |
+
"train_dataset_sample": -1,
|
| 206 |
+
"val_dataset_sample": null,
|
| 207 |
+
"safe_serialization": null,
|
| 208 |
+
"only_save_model": null,
|
| 209 |
+
"neftune_alpha": null,
|
| 210 |
+
"deepspeed_config_path": null,
|
| 211 |
+
"model_cache_dir": null,
|
| 212 |
+
"lora_dropout_p": null,
|
| 213 |
+
"lora_target_modules": [],
|
| 214 |
+
"lora_target_regex": null,
|
| 215 |
+
"lora_modules_to_save": [],
|
| 216 |
+
"boft_target_modules": [],
|
| 217 |
+
"boft_modules_to_save": [],
|
| 218 |
+
"vera_target_modules": [],
|
| 219 |
+
"vera_modules_to_save": [],
|
| 220 |
+
"ia3_target_modules": [],
|
| 221 |
+
"ia3_modules_to_save": [],
|
| 222 |
+
"custom_train_dataset_path": [],
|
| 223 |
+
"custom_val_dataset_path": [],
|
| 224 |
+
"device_map_config_path": null,
|
| 225 |
+
"push_hub_strategy": null,
|
| 226 |
+
"use_self_cognition": false,
|
| 227 |
+
"is_multimodal": true,
|
| 228 |
+
"is_vision": true,
|
| 229 |
+
"lora_use_embedding": false,
|
| 230 |
+
"lora_use_all": false,
|
| 231 |
+
"lora_m2s_use_embedding": false,
|
| 232 |
+
"lora_m2s_use_ln": false,
|
| 233 |
+
"torch_dtype": "torch.bfloat16",
|
| 234 |
+
"fp16": false,
|
| 235 |
+
"bf16": true,
|
| 236 |
+
"rank": -1,
|
| 237 |
+
"local_rank": -1,
|
| 238 |
+
"world_size": 1,
|
| 239 |
+
"local_world_size": 1,
|
| 240 |
+
"bnb_4bit_compute_dtype": "torch.bfloat16",
|
| 241 |
+
"load_in_4bit": false,
|
| 242 |
+
"load_in_8bit": false,
|
| 243 |
+
"train_sampler_random": true,
|
| 244 |
+
"train_type": "sft",
|
| 245 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
|
| 246 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/trainer_state.json
ADDED
|
@@ -0,0 +1,2223 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.60646284,
|
| 3 |
+
"best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-850",
|
| 4 |
+
"epoch": 0.12837382457716873,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 1000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"acc": 0.77952504,
|
| 13 |
+
"epoch": 0.0001283738245771687,
|
| 14 |
+
"grad_norm": 0.15511861443519592,
|
| 15 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 16 |
+
"loss": 0.82634771,
|
| 17 |
+
"memory(GiB)": 11.42,
|
| 18 |
+
"step": 1,
|
| 19 |
+
"train_speed(iter/s)": 0.092016
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"acc": 0.77674872,
|
| 23 |
+
"epoch": 0.0006418691228858435,
|
| 24 |
+
"grad_norm": 0.14591480791568756,
|
| 25 |
+
"learning_rate": 1e-05,
|
| 26 |
+
"loss": 0.8159712,
|
| 27 |
+
"memory(GiB)": 12.15,
|
| 28 |
+
"step": 5,
|
| 29 |
+
"train_speed(iter/s)": 0.10552
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"acc": 0.77379012,
|
| 33 |
+
"epoch": 0.001283738245771687,
|
| 34 |
+
"grad_norm": 0.151850163936615,
|
| 35 |
+
"learning_rate": 2e-05,
|
| 36 |
+
"loss": 0.8015564,
|
| 37 |
+
"memory(GiB)": 12.15,
|
| 38 |
+
"step": 10,
|
| 39 |
+
"train_speed(iter/s)": 0.107013
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"acc": 0.7784133,
|
| 43 |
+
"epoch": 0.0019256073686575307,
|
| 44 |
+
"grad_norm": 0.15997682511806488,
|
| 45 |
+
"learning_rate": 3e-05,
|
| 46 |
+
"loss": 0.79284344,
|
| 47 |
+
"memory(GiB)": 12.15,
|
| 48 |
+
"step": 15,
|
| 49 |
+
"train_speed(iter/s)": 0.110995
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"acc": 0.7815052,
|
| 53 |
+
"epoch": 0.002567476491543374,
|
| 54 |
+
"grad_norm": 0.14427673816680908,
|
| 55 |
+
"learning_rate": 4e-05,
|
| 56 |
+
"loss": 0.78122258,
|
| 57 |
+
"memory(GiB)": 12.9,
|
| 58 |
+
"step": 20,
|
| 59 |
+
"train_speed(iter/s)": 0.111462
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"acc": 0.7915082,
|
| 63 |
+
"epoch": 0.0032093456144292177,
|
| 64 |
+
"grad_norm": 0.1590222716331482,
|
| 65 |
+
"learning_rate": 5e-05,
|
| 66 |
+
"loss": 0.7404335,
|
| 67 |
+
"memory(GiB)": 12.9,
|
| 68 |
+
"step": 25,
|
| 69 |
+
"train_speed(iter/s)": 0.112268
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"acc": 0.80291214,
|
| 73 |
+
"epoch": 0.0038512147373150614,
|
| 74 |
+
"grad_norm": 0.13638992607593536,
|
| 75 |
+
"learning_rate": 6e-05,
|
| 76 |
+
"loss": 0.68063788,
|
| 77 |
+
"memory(GiB)": 12.9,
|
| 78 |
+
"step": 30,
|
| 79 |
+
"train_speed(iter/s)": 0.111517
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"acc": 0.79923964,
|
| 83 |
+
"epoch": 0.0044930838602009054,
|
| 84 |
+
"grad_norm": 0.1271245777606964,
|
| 85 |
+
"learning_rate": 7e-05,
|
| 86 |
+
"loss": 0.68800621,
|
| 87 |
+
"memory(GiB)": 12.9,
|
| 88 |
+
"step": 35,
|
| 89 |
+
"train_speed(iter/s)": 0.110574
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"acc": 0.80240812,
|
| 93 |
+
"epoch": 0.005134952983086748,
|
| 94 |
+
"grad_norm": 0.11937133222818375,
|
| 95 |
+
"learning_rate": 8e-05,
|
| 96 |
+
"loss": 0.69939818,
|
| 97 |
+
"memory(GiB)": 12.9,
|
| 98 |
+
"step": 40,
|
| 99 |
+
"train_speed(iter/s)": 0.109469
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"acc": 0.78317132,
|
| 103 |
+
"epoch": 0.005776822105972592,
|
| 104 |
+
"grad_norm": 0.1665358543395996,
|
| 105 |
+
"learning_rate": 9e-05,
|
| 106 |
+
"loss": 0.75735736,
|
| 107 |
+
"memory(GiB)": 12.9,
|
| 108 |
+
"step": 45,
|
| 109 |
+
"train_speed(iter/s)": 0.108968
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"acc": 0.80379133,
|
| 113 |
+
"epoch": 0.0064186912288584355,
|
| 114 |
+
"grad_norm": 0.14883440732955933,
|
| 115 |
+
"learning_rate": 0.0001,
|
| 116 |
+
"loss": 0.6824338,
|
| 117 |
+
"memory(GiB)": 12.9,
|
| 118 |
+
"step": 50,
|
| 119 |
+
"train_speed(iter/s)": 0.109163
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.0064186912288584355,
|
| 123 |
+
"eval_acc": 0.8081346555994846,
|
| 124 |
+
"eval_loss": 0.6729312539100647,
|
| 125 |
+
"eval_runtime": 195.4613,
|
| 126 |
+
"eval_samples_per_second": 6.436,
|
| 127 |
+
"eval_steps_per_second": 6.436,
|
| 128 |
+
"step": 50
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"acc": 0.7984889,
|
| 132 |
+
"epoch": 0.007060560351744279,
|
| 133 |
+
"grad_norm": 0.16687534749507904,
|
| 134 |
+
"learning_rate": 9.999316524962345e-05,
|
| 135 |
+
"loss": 0.7141089,
|
| 136 |
+
"memory(GiB)": 12.9,
|
| 137 |
+
"step": 55,
|
| 138 |
+
"train_speed(iter/s)": 0.078646
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"acc": 0.79216175,
|
| 142 |
+
"epoch": 0.007702429474630123,
|
| 143 |
+
"grad_norm": 0.17546051740646362,
|
| 144 |
+
"learning_rate": 9.997266286704631e-05,
|
| 145 |
+
"loss": 0.72419305,
|
| 146 |
+
"memory(GiB)": 12.9,
|
| 147 |
+
"step": 60,
|
| 148 |
+
"train_speed(iter/s)": 0.080466
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"acc": 0.80358973,
|
| 152 |
+
"epoch": 0.008344298597515967,
|
| 153 |
+
"grad_norm": 0.16079305112361908,
|
| 154 |
+
"learning_rate": 9.993849845741524e-05,
|
| 155 |
+
"loss": 0.67717872,
|
| 156 |
+
"memory(GiB)": 12.9,
|
| 157 |
+
"step": 65,
|
| 158 |
+
"train_speed(iter/s)": 0.082252
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"acc": 0.80615339,
|
| 162 |
+
"epoch": 0.008986167720401811,
|
| 163 |
+
"grad_norm": 0.1396234929561615,
|
| 164 |
+
"learning_rate": 9.989068136093873e-05,
|
| 165 |
+
"loss": 0.70638905,
|
| 166 |
+
"memory(GiB)": 12.9,
|
| 167 |
+
"step": 70,
|
| 168 |
+
"train_speed(iter/s)": 0.084
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"acc": 0.79676814,
|
| 172 |
+
"epoch": 0.009628036843287653,
|
| 173 |
+
"grad_norm": 0.1340462565422058,
|
| 174 |
+
"learning_rate": 9.98292246503335e-05,
|
| 175 |
+
"loss": 0.71420946,
|
| 176 |
+
"memory(GiB)": 12.9,
|
| 177 |
+
"step": 75,
|
| 178 |
+
"train_speed(iter/s)": 0.08542
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"acc": 0.79325166,
|
| 182 |
+
"epoch": 0.010269905966173496,
|
| 183 |
+
"grad_norm": 0.13259001076221466,
|
| 184 |
+
"learning_rate": 9.975414512725057e-05,
|
| 185 |
+
"loss": 0.71777782,
|
| 186 |
+
"memory(GiB)": 12.9,
|
| 187 |
+
"step": 80,
|
| 188 |
+
"train_speed(iter/s)": 0.086655
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"acc": 0.81705523,
|
| 192 |
+
"epoch": 0.01091177508905934,
|
| 193 |
+
"grad_norm": 0.15833652019500732,
|
| 194 |
+
"learning_rate": 9.966546331768191e-05,
|
| 195 |
+
"loss": 0.62526927,
|
| 196 |
+
"memory(GiB)": 12.9,
|
| 197 |
+
"step": 85,
|
| 198 |
+
"train_speed(iter/s)": 0.088014
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"acc": 0.80851898,
|
| 202 |
+
"epoch": 0.011553644211945184,
|
| 203 |
+
"grad_norm": 0.1456330418586731,
|
| 204 |
+
"learning_rate": 9.956320346634876e-05,
|
| 205 |
+
"loss": 0.68010745,
|
| 206 |
+
"memory(GiB)": 12.9,
|
| 207 |
+
"step": 90,
|
| 208 |
+
"train_speed(iter/s)": 0.088941
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"acc": 0.81903477,
|
| 212 |
+
"epoch": 0.012195513334831027,
|
| 213 |
+
"grad_norm": 0.14285945892333984,
|
| 214 |
+
"learning_rate": 9.944739353007344e-05,
|
| 215 |
+
"loss": 0.6090106,
|
| 216 |
+
"memory(GiB)": 12.9,
|
| 217 |
+
"step": 95,
|
| 218 |
+
"train_speed(iter/s)": 0.089902
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"acc": 0.82483721,
|
| 222 |
+
"epoch": 0.012837382457716871,
|
| 223 |
+
"grad_norm": 0.1478744000196457,
|
| 224 |
+
"learning_rate": 9.931806517013612e-05,
|
| 225 |
+
"loss": 0.59807158,
|
| 226 |
+
"memory(GiB)": 12.9,
|
| 227 |
+
"step": 100,
|
| 228 |
+
"train_speed(iter/s)": 0.090663
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.012837382457716871,
|
| 232 |
+
"eval_acc": 0.813768508772143,
|
| 233 |
+
"eval_loss": 0.645352840423584,
|
| 234 |
+
"eval_runtime": 195.755,
|
| 235 |
+
"eval_samples_per_second": 6.426,
|
| 236 |
+
"eval_steps_per_second": 6.426,
|
| 237 |
+
"step": 100
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"acc": 0.80671978,
|
| 241 |
+
"epoch": 0.013479251580602715,
|
| 242 |
+
"grad_norm": 0.15444877743721008,
|
| 243 |
+
"learning_rate": 9.917525374361912e-05,
|
| 244 |
+
"loss": 0.66537051,
|
| 245 |
+
"memory(GiB)": 12.9,
|
| 246 |
+
"step": 105,
|
| 247 |
+
"train_speed(iter/s)": 0.078062
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"acc": 0.81962786,
|
| 251 |
+
"epoch": 0.014121120703488558,
|
| 252 |
+
"grad_norm": 0.16826578974723816,
|
| 253 |
+
"learning_rate": 9.901899829374047e-05,
|
| 254 |
+
"loss": 0.60835891,
|
| 255 |
+
"memory(GiB)": 12.9,
|
| 256 |
+
"step": 110,
|
| 257 |
+
"train_speed(iter/s)": 0.079089
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"acc": 0.80644588,
|
| 261 |
+
"epoch": 0.014762989826374402,
|
| 262 |
+
"grad_norm": 0.1519591063261032,
|
| 263 |
+
"learning_rate": 9.884934153917997e-05,
|
| 264 |
+
"loss": 0.66763787,
|
| 265 |
+
"memory(GiB)": 12.9,
|
| 266 |
+
"step": 115,
|
| 267 |
+
"train_speed(iter/s)": 0.08012
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"acc": 0.8235981,
|
| 271 |
+
"epoch": 0.015404858949260246,
|
| 272 |
+
"grad_norm": 0.20040030777454376,
|
| 273 |
+
"learning_rate": 9.86663298624003e-05,
|
| 274 |
+
"loss": 0.5919826,
|
| 275 |
+
"memory(GiB)": 12.9,
|
| 276 |
+
"step": 120,
|
| 277 |
+
"train_speed(iter/s)": 0.081125
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"acc": 0.81199884,
|
| 281 |
+
"epoch": 0.01604672807214609,
|
| 282 |
+
"grad_norm": 0.1842738389968872,
|
| 283 |
+
"learning_rate": 9.847001329696653e-05,
|
| 284 |
+
"loss": 0.63266978,
|
| 285 |
+
"memory(GiB)": 12.9,
|
| 286 |
+
"step": 125,
|
| 287 |
+
"train_speed(iter/s)": 0.082093
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"acc": 0.81563005,
|
| 291 |
+
"epoch": 0.016688597195031935,
|
| 292 |
+
"grad_norm": 0.15375380218029022,
|
| 293 |
+
"learning_rate": 9.826044551386744e-05,
|
| 294 |
+
"loss": 0.61709371,
|
| 295 |
+
"memory(GiB)": 12.9,
|
| 296 |
+
"step": 130,
|
| 297 |
+
"train_speed(iter/s)": 0.082937
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"acc": 0.80918331,
|
| 301 |
+
"epoch": 0.017330466317917778,
|
| 302 |
+
"grad_norm": 0.14841115474700928,
|
| 303 |
+
"learning_rate": 9.803768380684242e-05,
|
| 304 |
+
"loss": 0.63595695,
|
| 305 |
+
"memory(GiB)": 12.9,
|
| 306 |
+
"step": 135,
|
| 307 |
+
"train_speed(iter/s)": 0.083738
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"acc": 0.81229877,
|
| 311 |
+
"epoch": 0.017972335440803622,
|
| 312 |
+
"grad_norm": 0.16627077758312225,
|
| 313 |
+
"learning_rate": 9.780178907671789e-05,
|
| 314 |
+
"loss": 0.64757662,
|
| 315 |
+
"memory(GiB)": 12.9,
|
| 316 |
+
"step": 140,
|
| 317 |
+
"train_speed(iter/s)": 0.084642
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"acc": 0.804142,
|
| 321 |
+
"epoch": 0.018614204563689465,
|
| 322 |
+
"grad_norm": 0.1714244931936264,
|
| 323 |
+
"learning_rate": 9.755282581475769e-05,
|
| 324 |
+
"loss": 0.6832706,
|
| 325 |
+
"memory(GiB)": 12.9,
|
| 326 |
+
"step": 145,
|
| 327 |
+
"train_speed(iter/s)": 0.085406
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"acc": 0.79688311,
|
| 331 |
+
"epoch": 0.019256073686575306,
|
| 332 |
+
"grad_norm": 0.18916593492031097,
|
| 333 |
+
"learning_rate": 9.729086208503174e-05,
|
| 334 |
+
"loss": 0.70668921,
|
| 335 |
+
"memory(GiB)": 12.9,
|
| 336 |
+
"step": 150,
|
| 337 |
+
"train_speed(iter/s)": 0.086183
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.019256073686575306,
|
| 341 |
+
"eval_acc": 0.8153510047395746,
|
| 342 |
+
"eval_loss": 0.6350318193435669,
|
| 343 |
+
"eval_runtime": 196.0265,
|
| 344 |
+
"eval_samples_per_second": 6.417,
|
| 345 |
+
"eval_steps_per_second": 6.417,
|
| 346 |
+
"step": 150
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"acc": 0.80884809,
|
| 350 |
+
"epoch": 0.01989794280946115,
|
| 351 |
+
"grad_norm": 0.17633555829524994,
|
| 352 |
+
"learning_rate": 9.701596950580806e-05,
|
| 353 |
+
"loss": 0.63387117,
|
| 354 |
+
"memory(GiB)": 12.9,
|
| 355 |
+
"step": 155,
|
| 356 |
+
"train_speed(iter/s)": 0.078254
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"acc": 0.81135025,
|
| 360 |
+
"epoch": 0.020539811932346993,
|
| 361 |
+
"grad_norm": 0.18200528621673584,
|
| 362 |
+
"learning_rate": 9.672822322997305e-05,
|
| 363 |
+
"loss": 0.65075536,
|
| 364 |
+
"memory(GiB)": 12.9,
|
| 365 |
+
"step": 160,
|
| 366 |
+
"train_speed(iter/s)": 0.078985
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"acc": 0.82410259,
|
| 370 |
+
"epoch": 0.021181681055232836,
|
| 371 |
+
"grad_norm": 0.14853200316429138,
|
| 372 |
+
"learning_rate": 9.642770192448536e-05,
|
| 373 |
+
"loss": 0.60177903,
|
| 374 |
+
"memory(GiB)": 12.9,
|
| 375 |
+
"step": 165,
|
| 376 |
+
"train_speed(iter/s)": 0.079746
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"acc": 0.80189457,
|
| 380 |
+
"epoch": 0.02182355017811868,
|
| 381 |
+
"grad_norm": 0.17732569575309753,
|
| 382 |
+
"learning_rate": 9.611448774886924e-05,
|
| 383 |
+
"loss": 0.68190188,
|
| 384 |
+
"memory(GiB)": 12.9,
|
| 385 |
+
"step": 170,
|
| 386 |
+
"train_speed(iter/s)": 0.080445
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"acc": 0.81763601,
|
| 390 |
+
"epoch": 0.022465419301004524,
|
| 391 |
+
"grad_norm": 0.3583473563194275,
|
| 392 |
+
"learning_rate": 9.578866633275288e-05,
|
| 393 |
+
"loss": 0.62211475,
|
| 394 |
+
"memory(GiB)": 12.9,
|
| 395 |
+
"step": 175,
|
| 396 |
+
"train_speed(iter/s)": 0.081173
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"acc": 0.81451321,
|
| 400 |
+
"epoch": 0.023107288423890367,
|
| 401 |
+
"grad_norm": 0.19369152188301086,
|
| 402 |
+
"learning_rate": 9.545032675245813e-05,
|
| 403 |
+
"loss": 0.63143706,
|
| 404 |
+
"memory(GiB)": 12.9,
|
| 405 |
+
"step": 180,
|
| 406 |
+
"train_speed(iter/s)": 0.081877
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"acc": 0.809447,
|
| 410 |
+
"epoch": 0.02374915754677621,
|
| 411 |
+
"grad_norm": 0.16049319505691528,
|
| 412 |
+
"learning_rate": 9.509956150664796e-05,
|
| 413 |
+
"loss": 0.6451148,
|
| 414 |
+
"memory(GiB)": 12.9,
|
| 415 |
+
"step": 185,
|
| 416 |
+
"train_speed(iter/s)": 0.082533
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"acc": 0.80372143,
|
| 420 |
+
"epoch": 0.024391026669662055,
|
| 421 |
+
"grad_norm": 0.19566483795642853,
|
| 422 |
+
"learning_rate": 9.473646649103818e-05,
|
| 423 |
+
"loss": 0.65715637,
|
| 424 |
+
"memory(GiB)": 12.9,
|
| 425 |
+
"step": 190,
|
| 426 |
+
"train_speed(iter/s)": 0.083203
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"acc": 0.81516018,
|
| 430 |
+
"epoch": 0.0250328957925479,
|
| 431 |
+
"grad_norm": 0.1836969554424286,
|
| 432 |
+
"learning_rate": 9.43611409721806e-05,
|
| 433 |
+
"loss": 0.63388405,
|
| 434 |
+
"memory(GiB)": 12.9,
|
| 435 |
+
"step": 195,
|
| 436 |
+
"train_speed(iter/s)": 0.083851
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"acc": 0.80683355,
|
| 440 |
+
"epoch": 0.025674764915433742,
|
| 441 |
+
"grad_norm": 0.15840834379196167,
|
| 442 |
+
"learning_rate": 9.397368756032445e-05,
|
| 443 |
+
"loss": 0.65765018,
|
| 444 |
+
"memory(GiB)": 12.9,
|
| 445 |
+
"step": 200,
|
| 446 |
+
"train_speed(iter/s)": 0.084362
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.025674764915433742,
|
| 450 |
+
"eval_acc": 0.8154263931167957,
|
| 451 |
+
"eval_loss": 0.6316511034965515,
|
| 452 |
+
"eval_runtime": 194.3299,
|
| 453 |
+
"eval_samples_per_second": 6.474,
|
| 454 |
+
"eval_steps_per_second": 6.474,
|
| 455 |
+
"step": 200
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"acc": 0.81476297,
|
| 459 |
+
"epoch": 0.026316634038319586,
|
| 460 |
+
"grad_norm": 0.18683095276355743,
|
| 461 |
+
"learning_rate": 9.357421218136386e-05,
|
| 462 |
+
"loss": 0.64739652,
|
| 463 |
+
"memory(GiB)": 12.9,
|
| 464 |
+
"step": 205,
|
| 465 |
+
"train_speed(iter/s)": 0.078515
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"acc": 0.80957623,
|
| 469 |
+
"epoch": 0.02695850316120543,
|
| 470 |
+
"grad_norm": 0.16226844489574432,
|
| 471 |
+
"learning_rate": 9.316282404787871e-05,
|
| 472 |
+
"loss": 0.65772038,
|
| 473 |
+
"memory(GiB)": 12.9,
|
| 474 |
+
"step": 210,
|
| 475 |
+
"train_speed(iter/s)": 0.079027
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"acc": 0.81580648,
|
| 479 |
+
"epoch": 0.027600372284091273,
|
| 480 |
+
"grad_norm": 0.16426005959510803,
|
| 481 |
+
"learning_rate": 9.273963562927695e-05,
|
| 482 |
+
"loss": 0.63748703,
|
| 483 |
+
"memory(GiB)": 12.9,
|
| 484 |
+
"step": 215,
|
| 485 |
+
"train_speed(iter/s)": 0.079584
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"acc": 0.80812073,
|
| 489 |
+
"epoch": 0.028242241406977116,
|
| 490 |
+
"grad_norm": 0.1749752312898636,
|
| 491 |
+
"learning_rate": 9.230476262104677e-05,
|
| 492 |
+
"loss": 0.66415677,
|
| 493 |
+
"memory(GiB)": 12.9,
|
| 494 |
+
"step": 220,
|
| 495 |
+
"train_speed(iter/s)": 0.080111
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"acc": 0.81957884,
|
| 499 |
+
"epoch": 0.02888411052986296,
|
| 500 |
+
"grad_norm": 0.15272143483161926,
|
| 501 |
+
"learning_rate": 9.185832391312644e-05,
|
| 502 |
+
"loss": 0.62169385,
|
| 503 |
+
"memory(GiB)": 12.9,
|
| 504 |
+
"step": 225,
|
| 505 |
+
"train_speed(iter/s)": 0.080603
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"acc": 0.80860453,
|
| 509 |
+
"epoch": 0.029525979652748804,
|
| 510 |
+
"grad_norm": 0.1689305603504181,
|
| 511 |
+
"learning_rate": 9.140044155740101e-05,
|
| 512 |
+
"loss": 0.6528583,
|
| 513 |
+
"memory(GiB)": 12.9,
|
| 514 |
+
"step": 230,
|
| 515 |
+
"train_speed(iter/s)": 0.081113
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"acc": 0.81558657,
|
| 519 |
+
"epoch": 0.030167848775634647,
|
| 520 |
+
"grad_norm": 0.20389845967292786,
|
| 521 |
+
"learning_rate": 9.093124073433463e-05,
|
| 522 |
+
"loss": 0.62348075,
|
| 523 |
+
"memory(GiB)": 12.9,
|
| 524 |
+
"step": 235,
|
| 525 |
+
"train_speed(iter/s)": 0.081633
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"acc": 0.83771782,
|
| 529 |
+
"epoch": 0.03080971789852049,
|
| 530 |
+
"grad_norm": 0.1833639293909073,
|
| 531 |
+
"learning_rate": 9.045084971874738e-05,
|
| 532 |
+
"loss": 0.54310794,
|
| 533 |
+
"memory(GiB)": 12.9,
|
| 534 |
+
"step": 240,
|
| 535 |
+
"train_speed(iter/s)": 0.082163
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"acc": 0.81091404,
|
| 539 |
+
"epoch": 0.03145158702140634,
|
| 540 |
+
"grad_norm": 0.1823006570339203,
|
| 541 |
+
"learning_rate": 8.995939984474624e-05,
|
| 542 |
+
"loss": 0.65011134,
|
| 543 |
+
"memory(GiB)": 12.9,
|
| 544 |
+
"step": 245,
|
| 545 |
+
"train_speed(iter/s)": 0.082662
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"acc": 0.8202961,
|
| 549 |
+
"epoch": 0.03209345614429218,
|
| 550 |
+
"grad_norm": 0.19047267735004425,
|
| 551 |
+
"learning_rate": 8.945702546981969e-05,
|
| 552 |
+
"loss": 0.61326828,
|
| 553 |
+
"memory(GiB)": 12.9,
|
| 554 |
+
"step": 250,
|
| 555 |
+
"train_speed(iter/s)": 0.083111
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.03209345614429218,
|
| 559 |
+
"eval_acc": 0.8174640226702884,
|
| 560 |
+
"eval_loss": 0.6222989559173584,
|
| 561 |
+
"eval_runtime": 194.2619,
|
| 562 |
+
"eval_samples_per_second": 6.476,
|
| 563 |
+
"eval_steps_per_second": 6.476,
|
| 564 |
+
"step": 250
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"acc": 0.81616802,
|
| 568 |
+
"epoch": 0.032735325267178025,
|
| 569 |
+
"grad_norm": 0.19024300575256348,
|
| 570 |
+
"learning_rate": 8.894386393810563e-05,
|
| 571 |
+
"loss": 0.65217943,
|
| 572 |
+
"memory(GiB)": 12.9,
|
| 573 |
+
"step": 255,
|
| 574 |
+
"train_speed(iter/s)": 0.078534
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"acc": 0.81027069,
|
| 578 |
+
"epoch": 0.03337719439006387,
|
| 579 |
+
"grad_norm": 0.19169311225414276,
|
| 580 |
+
"learning_rate": 8.842005554284296e-05,
|
| 581 |
+
"loss": 0.65409112,
|
| 582 |
+
"memory(GiB)": 12.9,
|
| 583 |
+
"step": 260,
|
| 584 |
+
"train_speed(iter/s)": 0.078979
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"acc": 0.80319004,
|
| 588 |
+
"epoch": 0.03401906351294971,
|
| 589 |
+
"grad_norm": 0.20081347227096558,
|
| 590 |
+
"learning_rate": 8.788574348801675e-05,
|
| 591 |
+
"loss": 0.67106547,
|
| 592 |
+
"memory(GiB)": 12.9,
|
| 593 |
+
"step": 265,
|
| 594 |
+
"train_speed(iter/s)": 0.079517
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"acc": 0.82499094,
|
| 598 |
+
"epoch": 0.034660932635835556,
|
| 599 |
+
"grad_norm": 0.16266761720180511,
|
| 600 |
+
"learning_rate": 8.73410738492077e-05,
|
| 601 |
+
"loss": 0.57896609,
|
| 602 |
+
"memory(GiB)": 12.9,
|
| 603 |
+
"step": 270,
|
| 604 |
+
"train_speed(iter/s)": 0.079959
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"acc": 0.83434772,
|
| 608 |
+
"epoch": 0.0353028017587214,
|
| 609 |
+
"grad_norm": 0.19760368764400482,
|
| 610 |
+
"learning_rate": 8.678619553365659e-05,
|
| 611 |
+
"loss": 0.56308613,
|
| 612 |
+
"memory(GiB)": 12.9,
|
| 613 |
+
"step": 275,
|
| 614 |
+
"train_speed(iter/s)": 0.080441
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"acc": 0.81103878,
|
| 618 |
+
"epoch": 0.035944670881607244,
|
| 619 |
+
"grad_norm": 0.20421290397644043,
|
| 620 |
+
"learning_rate": 8.622126023955446e-05,
|
| 621 |
+
"loss": 0.62751951,
|
| 622 |
+
"memory(GiB)": 12.9,
|
| 623 |
+
"step": 280,
|
| 624 |
+
"train_speed(iter/s)": 0.080888
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"acc": 0.80577688,
|
| 628 |
+
"epoch": 0.03658654000449309,
|
| 629 |
+
"grad_norm": 0.18944613635540009,
|
| 630 |
+
"learning_rate": 8.564642241456986e-05,
|
| 631 |
+
"loss": 0.67880988,
|
| 632 |
+
"memory(GiB)": 12.9,
|
| 633 |
+
"step": 285,
|
| 634 |
+
"train_speed(iter/s)": 0.081351
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"acc": 0.81629257,
|
| 638 |
+
"epoch": 0.03722840912737893,
|
| 639 |
+
"grad_norm": 0.16580034792423248,
|
| 640 |
+
"learning_rate": 8.506183921362443e-05,
|
| 641 |
+
"loss": 0.63270054,
|
| 642 |
+
"memory(GiB)": 12.9,
|
| 643 |
+
"step": 290,
|
| 644 |
+
"train_speed(iter/s)": 0.081754
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"acc": 0.81265612,
|
| 648 |
+
"epoch": 0.037870278250264774,
|
| 649 |
+
"grad_norm": 0.20476555824279785,
|
| 650 |
+
"learning_rate": 8.44676704559283e-05,
|
| 651 |
+
"loss": 0.63396297,
|
| 652 |
+
"memory(GiB)": 12.9,
|
| 653 |
+
"step": 295,
|
| 654 |
+
"train_speed(iter/s)": 0.082163
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"acc": 0.81665688,
|
| 658 |
+
"epoch": 0.03851214737315061,
|
| 659 |
+
"grad_norm": 0.1685812920331955,
|
| 660 |
+
"learning_rate": 8.386407858128706e-05,
|
| 661 |
+
"loss": 0.63431234,
|
| 662 |
+
"memory(GiB)": 12.9,
|
| 663 |
+
"step": 300,
|
| 664 |
+
"train_speed(iter/s)": 0.082563
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 0.03851214737315061,
|
| 668 |
+
"eval_acc": 0.8180910416791721,
|
| 669 |
+
"eval_loss": 0.6213402152061462,
|
| 670 |
+
"eval_runtime": 194.9277,
|
| 671 |
+
"eval_samples_per_second": 6.454,
|
| 672 |
+
"eval_steps_per_second": 6.454,
|
| 673 |
+
"step": 300
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"acc": 0.81313,
|
| 677 |
+
"epoch": 0.039154016496036455,
|
| 678 |
+
"grad_norm": 0.19343021512031555,
|
| 679 |
+
"learning_rate": 8.32512286056924e-05,
|
| 680 |
+
"loss": 0.65134788,
|
| 681 |
+
"memory(GiB)": 12.9,
|
| 682 |
+
"step": 305,
|
| 683 |
+
"train_speed(iter/s)": 0.078839
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"acc": 0.80900688,
|
| 687 |
+
"epoch": 0.0397958856189223,
|
| 688 |
+
"grad_norm": 0.20626357197761536,
|
| 689 |
+
"learning_rate": 8.262928807620843e-05,
|
| 690 |
+
"loss": 0.66552057,
|
| 691 |
+
"memory(GiB)": 12.9,
|
| 692 |
+
"step": 310,
|
| 693 |
+
"train_speed(iter/s)": 0.07924
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"acc": 0.81944618,
|
| 697 |
+
"epoch": 0.04043775474180814,
|
| 698 |
+
"grad_norm": 0.22261416912078857,
|
| 699 |
+
"learning_rate": 8.199842702516583e-05,
|
| 700 |
+
"loss": 0.6285687,
|
| 701 |
+
"memory(GiB)": 12.9,
|
| 702 |
+
"step": 315,
|
| 703 |
+
"train_speed(iter/s)": 0.079651
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"acc": 0.82105675,
|
| 707 |
+
"epoch": 0.041079623864693986,
|
| 708 |
+
"grad_norm": 0.17977821826934814,
|
| 709 |
+
"learning_rate": 8.135881792367686e-05,
|
| 710 |
+
"loss": 0.61407933,
|
| 711 |
+
"memory(GiB)": 12.9,
|
| 712 |
+
"step": 320,
|
| 713 |
+
"train_speed(iter/s)": 0.080053
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"acc": 0.81391029,
|
| 717 |
+
"epoch": 0.04172149298757983,
|
| 718 |
+
"grad_norm": 0.1734636276960373,
|
| 719 |
+
"learning_rate": 8.07106356344834e-05,
|
| 720 |
+
"loss": 0.63154807,
|
| 721 |
+
"memory(GiB)": 12.9,
|
| 722 |
+
"step": 325,
|
| 723 |
+
"train_speed(iter/s)": 0.080427
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"acc": 0.80443487,
|
| 727 |
+
"epoch": 0.04236336211046567,
|
| 728 |
+
"grad_norm": 0.20138931274414062,
|
| 729 |
+
"learning_rate": 8.005405736415126e-05,
|
| 730 |
+
"loss": 0.67294674,
|
| 731 |
+
"memory(GiB)": 12.9,
|
| 732 |
+
"step": 330,
|
| 733 |
+
"train_speed(iter/s)": 0.08081
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"acc": 0.8138341,
|
| 737 |
+
"epoch": 0.04300523123335152,
|
| 738 |
+
"grad_norm": 0.2296956181526184,
|
| 739 |
+
"learning_rate": 7.938926261462366e-05,
|
| 740 |
+
"loss": 0.62769508,
|
| 741 |
+
"memory(GiB)": 12.9,
|
| 742 |
+
"step": 335,
|
| 743 |
+
"train_speed(iter/s)": 0.081179
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"acc": 0.81060715,
|
| 747 |
+
"epoch": 0.04364710035623736,
|
| 748 |
+
"grad_norm": 0.18877319991588593,
|
| 749 |
+
"learning_rate": 7.871643313414718e-05,
|
| 750 |
+
"loss": 0.65062008,
|
| 751 |
+
"memory(GiB)": 12.9,
|
| 752 |
+
"step": 340,
|
| 753 |
+
"train_speed(iter/s)": 0.081555
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"acc": 0.80925789,
|
| 757 |
+
"epoch": 0.044288969479123204,
|
| 758 |
+
"grad_norm": 0.20824845135211945,
|
| 759 |
+
"learning_rate": 7.803575286758364e-05,
|
| 760 |
+
"loss": 0.65066905,
|
| 761 |
+
"memory(GiB)": 12.9,
|
| 762 |
+
"step": 345,
|
| 763 |
+
"train_speed(iter/s)": 0.081899
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"acc": 0.80743494,
|
| 767 |
+
"epoch": 0.04493083860200905,
|
| 768 |
+
"grad_norm": 0.1929645985364914,
|
| 769 |
+
"learning_rate": 7.734740790612136e-05,
|
| 770 |
+
"loss": 0.64833279,
|
| 771 |
+
"memory(GiB)": 12.9,
|
| 772 |
+
"step": 350,
|
| 773 |
+
"train_speed(iter/s)": 0.082229
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.04493083860200905,
|
| 777 |
+
"eval_acc": 0.818597113383227,
|
| 778 |
+
"eval_loss": 0.6184135675430298,
|
| 779 |
+
"eval_runtime": 195.2572,
|
| 780 |
+
"eval_samples_per_second": 6.443,
|
| 781 |
+
"eval_steps_per_second": 6.443,
|
| 782 |
+
"step": 350
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"acc": 0.81946774,
|
| 786 |
+
"epoch": 0.04557270772489489,
|
| 787 |
+
"grad_norm": 0.185298889875412,
|
| 788 |
+
"learning_rate": 7.66515864363997e-05,
|
| 789 |
+
"loss": 0.63578596,
|
| 790 |
+
"memory(GiB)": 12.9,
|
| 791 |
+
"step": 355,
|
| 792 |
+
"train_speed(iter/s)": 0.078909
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"acc": 0.82359991,
|
| 796 |
+
"epoch": 0.046214576847780735,
|
| 797 |
+
"grad_norm": 0.16975072026252747,
|
| 798 |
+
"learning_rate": 7.594847868906076e-05,
|
| 799 |
+
"loss": 0.59197049,
|
| 800 |
+
"memory(GiB)": 12.9,
|
| 801 |
+
"step": 360,
|
| 802 |
+
"train_speed(iter/s)": 0.079228
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"acc": 0.82826347,
|
| 806 |
+
"epoch": 0.04685644597066658,
|
| 807 |
+
"grad_norm": 0.19332191348075867,
|
| 808 |
+
"learning_rate": 7.52382768867422e-05,
|
| 809 |
+
"loss": 0.58269887,
|
| 810 |
+
"memory(GiB)": 12.9,
|
| 811 |
+
"step": 365,
|
| 812 |
+
"train_speed(iter/s)": 0.079527
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"acc": 0.81692057,
|
| 816 |
+
"epoch": 0.04749831509355242,
|
| 817 |
+
"grad_norm": 0.1801847517490387,
|
| 818 |
+
"learning_rate": 7.452117519152542e-05,
|
| 819 |
+
"loss": 0.62563605,
|
| 820 |
+
"memory(GiB)": 12.9,
|
| 821 |
+
"step": 370,
|
| 822 |
+
"train_speed(iter/s)": 0.079855
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"acc": 0.81458244,
|
| 826 |
+
"epoch": 0.048140184216438266,
|
| 827 |
+
"grad_norm": 0.2671217620372772,
|
| 828 |
+
"learning_rate": 7.379736965185368e-05,
|
| 829 |
+
"loss": 0.62537222,
|
| 830 |
+
"memory(GiB)": 12.9,
|
| 831 |
+
"step": 375,
|
| 832 |
+
"train_speed(iter/s)": 0.080167
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"acc": 0.80892944,
|
| 836 |
+
"epoch": 0.04878205333932411,
|
| 837 |
+
"grad_norm": 0.20377114415168762,
|
| 838 |
+
"learning_rate": 7.30670581489344e-05,
|
| 839 |
+
"loss": 0.6464529,
|
| 840 |
+
"memory(GiB)": 12.9,
|
| 841 |
+
"step": 380,
|
| 842 |
+
"train_speed(iter/s)": 0.080535
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"acc": 0.81387253,
|
| 846 |
+
"epoch": 0.04942392246220995,
|
| 847 |
+
"grad_norm": 0.21851402521133423,
|
| 848 |
+
"learning_rate": 7.233044034264034e-05,
|
| 849 |
+
"loss": 0.64175944,
|
| 850 |
+
"memory(GiB)": 12.9,
|
| 851 |
+
"step": 385,
|
| 852 |
+
"train_speed(iter/s)": 0.080866
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"acc": 0.81104851,
|
| 856 |
+
"epoch": 0.0500657915850958,
|
| 857 |
+
"grad_norm": 0.17920850217342377,
|
| 858 |
+
"learning_rate": 7.158771761692464e-05,
|
| 859 |
+
"loss": 0.65399485,
|
| 860 |
+
"memory(GiB)": 12.9,
|
| 861 |
+
"step": 390,
|
| 862 |
+
"train_speed(iter/s)": 0.081177
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"acc": 0.81167917,
|
| 866 |
+
"epoch": 0.05070766070798164,
|
| 867 |
+
"grad_norm": 0.21850617229938507,
|
| 868 |
+
"learning_rate": 7.083909302476453e-05,
|
| 869 |
+
"loss": 0.65062542,
|
| 870 |
+
"memory(GiB)": 12.9,
|
| 871 |
+
"step": 395,
|
| 872 |
+
"train_speed(iter/s)": 0.081491
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"acc": 0.82351618,
|
| 876 |
+
"epoch": 0.051349529830867484,
|
| 877 |
+
"grad_norm": 0.1936645656824112,
|
| 878 |
+
"learning_rate": 7.008477123264848e-05,
|
| 879 |
+
"loss": 0.62041502,
|
| 880 |
+
"memory(GiB)": 12.9,
|
| 881 |
+
"step": 400,
|
| 882 |
+
"train_speed(iter/s)": 0.081765
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 0.051349529830867484,
|
| 886 |
+
"eval_acc": 0.8192219173956314,
|
| 887 |
+
"eval_loss": 0.6147059202194214,
|
| 888 |
+
"eval_runtime": 194.2328,
|
| 889 |
+
"eval_samples_per_second": 6.477,
|
| 890 |
+
"eval_steps_per_second": 6.477,
|
| 891 |
+
"step": 400
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"acc": 0.81023674,
|
| 895 |
+
"epoch": 0.05199139895375333,
|
| 896 |
+
"grad_norm": 0.1859249472618103,
|
| 897 |
+
"learning_rate": 6.932495846462261e-05,
|
| 898 |
+
"loss": 0.63979912,
|
| 899 |
+
"memory(GiB)": 12.9,
|
| 900 |
+
"step": 405,
|
| 901 |
+
"train_speed(iter/s)": 0.078921
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"acc": 0.81422606,
|
| 905 |
+
"epoch": 0.05263326807663917,
|
| 906 |
+
"grad_norm": 0.18879809975624084,
|
| 907 |
+
"learning_rate": 6.855986244591104e-05,
|
| 908 |
+
"loss": 0.63082585,
|
| 909 |
+
"memory(GiB)": 12.9,
|
| 910 |
+
"step": 410,
|
| 911 |
+
"train_speed(iter/s)": 0.079225
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"acc": 0.82355537,
|
| 915 |
+
"epoch": 0.053275137199525015,
|
| 916 |
+
"grad_norm": 0.1991114318370819,
|
| 917 |
+
"learning_rate": 6.778969234612584e-05,
|
| 918 |
+
"loss": 0.60244231,
|
| 919 |
+
"memory(GiB)": 12.9,
|
| 920 |
+
"step": 415,
|
| 921 |
+
"train_speed(iter/s)": 0.079522
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"acc": 0.80394392,
|
| 925 |
+
"epoch": 0.05391700632241086,
|
| 926 |
+
"grad_norm": 0.18245312571525574,
|
| 927 |
+
"learning_rate": 6.701465872208216e-05,
|
| 928 |
+
"loss": 0.68041868,
|
| 929 |
+
"memory(GiB)": 12.9,
|
| 930 |
+
"step": 420,
|
| 931 |
+
"train_speed(iter/s)": 0.079822
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"acc": 0.82535486,
|
| 935 |
+
"epoch": 0.0545588754452967,
|
| 936 |
+
"grad_norm": 0.18471555411815643,
|
| 937 |
+
"learning_rate": 6.623497346023418e-05,
|
| 938 |
+
"loss": 0.58148174,
|
| 939 |
+
"memory(GiB)": 12.9,
|
| 940 |
+
"step": 425,
|
| 941 |
+
"train_speed(iter/s)": 0.080165
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"acc": 0.8145462,
|
| 945 |
+
"epoch": 0.055200744568182546,
|
| 946 |
+
"grad_norm": 0.21886418759822845,
|
| 947 |
+
"learning_rate": 6.545084971874738e-05,
|
| 948 |
+
"loss": 0.64324603,
|
| 949 |
+
"memory(GiB)": 12.9,
|
| 950 |
+
"step": 430,
|
| 951 |
+
"train_speed(iter/s)": 0.080479
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"acc": 0.80875597,
|
| 955 |
+
"epoch": 0.05584261369106839,
|
| 956 |
+
"grad_norm": 0.2046084851026535,
|
| 957 |
+
"learning_rate": 6.466250186922325e-05,
|
| 958 |
+
"loss": 0.64245248,
|
| 959 |
+
"memory(GiB)": 12.9,
|
| 960 |
+
"step": 435,
|
| 961 |
+
"train_speed(iter/s)": 0.080772
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"acc": 0.81591587,
|
| 965 |
+
"epoch": 0.05648448281395423,
|
| 966 |
+
"grad_norm": 0.1934758424758911,
|
| 967 |
+
"learning_rate": 6.387014543809223e-05,
|
| 968 |
+
"loss": 0.63060322,
|
| 969 |
+
"memory(GiB)": 12.9,
|
| 970 |
+
"step": 440,
|
| 971 |
+
"train_speed(iter/s)": 0.081046
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"acc": 0.81191225,
|
| 975 |
+
"epoch": 0.05712635193684008,
|
| 976 |
+
"grad_norm": 0.2059066742658615,
|
| 977 |
+
"learning_rate": 6.307399704769099e-05,
|
| 978 |
+
"loss": 0.64218235,
|
| 979 |
+
"memory(GiB)": 12.9,
|
| 980 |
+
"step": 445,
|
| 981 |
+
"train_speed(iter/s)": 0.081334
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"acc": 0.81284475,
|
| 985 |
+
"epoch": 0.05776822105972592,
|
| 986 |
+
"grad_norm": 0.18999861180782318,
|
| 987 |
+
"learning_rate": 6.227427435703997e-05,
|
| 988 |
+
"loss": 0.64007626,
|
| 989 |
+
"memory(GiB)": 12.9,
|
| 990 |
+
"step": 450,
|
| 991 |
+
"train_speed(iter/s)": 0.081619
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.05776822105972592,
|
| 995 |
+
"eval_acc": 0.8195972020245513,
|
| 996 |
+
"eval_loss": 0.6134685277938843,
|
| 997 |
+
"eval_runtime": 194.9348,
|
| 998 |
+
"eval_samples_per_second": 6.453,
|
| 999 |
+
"eval_steps_per_second": 6.453,
|
| 1000 |
+
"step": 450
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"acc": 0.81439934,
|
| 1004 |
+
"epoch": 0.058410090182611764,
|
| 1005 |
+
"grad_norm": 0.20194242894649506,
|
| 1006 |
+
"learning_rate": 6.147119600233758e-05,
|
| 1007 |
+
"loss": 0.63169065,
|
| 1008 |
+
"memory(GiB)": 12.9,
|
| 1009 |
+
"step": 455,
|
| 1010 |
+
"train_speed(iter/s)": 0.07909
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"acc": 0.80925694,
|
| 1014 |
+
"epoch": 0.05905195930549761,
|
| 1015 |
+
"grad_norm": 0.22199371457099915,
|
| 1016 |
+
"learning_rate": 6.066498153718735e-05,
|
| 1017 |
+
"loss": 0.65331206,
|
| 1018 |
+
"memory(GiB)": 12.9,
|
| 1019 |
+
"step": 460,
|
| 1020 |
+
"train_speed(iter/s)": 0.079394
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"acc": 0.81743002,
|
| 1024 |
+
"epoch": 0.05969382842838345,
|
| 1025 |
+
"grad_norm": 0.1933964639902115,
|
| 1026 |
+
"learning_rate": 5.985585137257401e-05,
|
| 1027 |
+
"loss": 0.62136326,
|
| 1028 |
+
"memory(GiB)": 12.9,
|
| 1029 |
+
"step": 465,
|
| 1030 |
+
"train_speed(iter/s)": 0.079664
|
| 1031 |
+
},
|
| 1032 |
+
{
|
| 1033 |
+
"acc": 0.82081652,
|
| 1034 |
+
"epoch": 0.060335697551269295,
|
| 1035 |
+
"grad_norm": 0.19113869965076447,
|
| 1036 |
+
"learning_rate": 5.90440267166055e-05,
|
| 1037 |
+
"loss": 0.58844328,
|
| 1038 |
+
"memory(GiB)": 12.9,
|
| 1039 |
+
"step": 470,
|
| 1040 |
+
"train_speed(iter/s)": 0.079903
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"acc": 0.82189302,
|
| 1044 |
+
"epoch": 0.06097756667415514,
|
| 1045 |
+
"grad_norm": 0.21947172284126282,
|
| 1046 |
+
"learning_rate": 5.8229729514036705e-05,
|
| 1047 |
+
"loss": 0.6088398,
|
| 1048 |
+
"memory(GiB)": 12.9,
|
| 1049 |
+
"step": 475,
|
| 1050 |
+
"train_speed(iter/s)": 0.080178
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"acc": 0.81938705,
|
| 1054 |
+
"epoch": 0.06161943579704098,
|
| 1055 |
+
"grad_norm": 0.19398923218250275,
|
| 1056 |
+
"learning_rate": 5.74131823855921e-05,
|
| 1057 |
+
"loss": 0.62442837,
|
| 1058 |
+
"memory(GiB)": 12.9,
|
| 1059 |
+
"step": 480,
|
| 1060 |
+
"train_speed(iter/s)": 0.080433
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"acc": 0.82784338,
|
| 1064 |
+
"epoch": 0.062261304919926826,
|
| 1065 |
+
"grad_norm": 0.17412325739860535,
|
| 1066 |
+
"learning_rate": 5.6594608567103456e-05,
|
| 1067 |
+
"loss": 0.57895641,
|
| 1068 |
+
"memory(GiB)": 12.9,
|
| 1069 |
+
"step": 485,
|
| 1070 |
+
"train_speed(iter/s)": 0.080668
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"acc": 0.82182274,
|
| 1074 |
+
"epoch": 0.06290317404281268,
|
| 1075 |
+
"grad_norm": 0.2373647540807724,
|
| 1076 |
+
"learning_rate": 5.577423184847932e-05,
|
| 1077 |
+
"loss": 0.61787653,
|
| 1078 |
+
"memory(GiB)": 12.9,
|
| 1079 |
+
"step": 490,
|
| 1080 |
+
"train_speed(iter/s)": 0.080927
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"acc": 0.82861795,
|
| 1084 |
+
"epoch": 0.06354504316569852,
|
| 1085 |
+
"grad_norm": 0.18874205648899078,
|
| 1086 |
+
"learning_rate": 5.495227651252315e-05,
|
| 1087 |
+
"loss": 0.57188206,
|
| 1088 |
+
"memory(GiB)": 12.9,
|
| 1089 |
+
"step": 495,
|
| 1090 |
+
"train_speed(iter/s)": 0.081151
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"acc": 0.80789671,
|
| 1094 |
+
"epoch": 0.06418691228858436,
|
| 1095 |
+
"grad_norm": 0.1971614509820938,
|
| 1096 |
+
"learning_rate": 5.4128967273616625e-05,
|
| 1097 |
+
"loss": 0.67568989,
|
| 1098 |
+
"memory(GiB)": 12.9,
|
| 1099 |
+
"step": 500,
|
| 1100 |
+
"train_speed(iter/s)": 0.081405
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 0.06418691228858436,
|
| 1104 |
+
"eval_acc": 0.8191289863904123,
|
| 1105 |
+
"eval_loss": 0.6154261827468872,
|
| 1106 |
+
"eval_runtime": 194.8211,
|
| 1107 |
+
"eval_samples_per_second": 6.457,
|
| 1108 |
+
"eval_steps_per_second": 6.457,
|
| 1109 |
+
"step": 500
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"acc": 0.80737734,
|
| 1113 |
+
"epoch": 0.06482878141147021,
|
| 1114 |
+
"grad_norm": 0.2034166306257248,
|
| 1115 |
+
"learning_rate": 5.330452921628497e-05,
|
| 1116 |
+
"loss": 0.64408102,
|
| 1117 |
+
"memory(GiB)": 12.9,
|
| 1118 |
+
"step": 505,
|
| 1119 |
+
"train_speed(iter/s)": 0.079157
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"acc": 0.83580818,
|
| 1123 |
+
"epoch": 0.06547065053435605,
|
| 1124 |
+
"grad_norm": 0.1943274289369583,
|
| 1125 |
+
"learning_rate": 5.247918773366112e-05,
|
| 1126 |
+
"loss": 0.55616164,
|
| 1127 |
+
"memory(GiB)": 12.9,
|
| 1128 |
+
"step": 510,
|
| 1129 |
+
"train_speed(iter/s)": 0.079418
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"acc": 0.81569843,
|
| 1133 |
+
"epoch": 0.0661125196572419,
|
| 1134 |
+
"grad_norm": 0.21546119451522827,
|
| 1135 |
+
"learning_rate": 5.165316846586541e-05,
|
| 1136 |
+
"loss": 0.63107128,
|
| 1137 |
+
"memory(GiB)": 12.9,
|
| 1138 |
+
"step": 515,
|
| 1139 |
+
"train_speed(iter/s)": 0.079676
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"acc": 0.82521887,
|
| 1143 |
+
"epoch": 0.06675438878012774,
|
| 1144 |
+
"grad_norm": 0.18064647912979126,
|
| 1145 |
+
"learning_rate": 5.0826697238317935e-05,
|
| 1146 |
+
"loss": 0.60510926,
|
| 1147 |
+
"memory(GiB)": 12.9,
|
| 1148 |
+
"step": 520,
|
| 1149 |
+
"train_speed(iter/s)": 0.079928
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"acc": 0.8060174,
|
| 1153 |
+
"epoch": 0.06739625790301358,
|
| 1154 |
+
"grad_norm": 0.2181115299463272,
|
| 1155 |
+
"learning_rate": 5e-05,
|
| 1156 |
+
"loss": 0.65878468,
|
| 1157 |
+
"memory(GiB)": 12.9,
|
| 1158 |
+
"step": 525,
|
| 1159 |
+
"train_speed(iter/s)": 0.080188
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"acc": 0.81847181,
|
| 1163 |
+
"epoch": 0.06803812702589943,
|
| 1164 |
+
"grad_norm": 0.19227808713912964,
|
| 1165 |
+
"learning_rate": 4.917330276168208e-05,
|
| 1166 |
+
"loss": 0.61963496,
|
| 1167 |
+
"memory(GiB)": 12.9,
|
| 1168 |
+
"step": 530,
|
| 1169 |
+
"train_speed(iter/s)": 0.080404
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"acc": 0.81498117,
|
| 1173 |
+
"epoch": 0.06867999614878527,
|
| 1174 |
+
"grad_norm": 0.22034384310245514,
|
| 1175 |
+
"learning_rate": 4.834683153413459e-05,
|
| 1176 |
+
"loss": 0.6185873,
|
| 1177 |
+
"memory(GiB)": 12.9,
|
| 1178 |
+
"step": 535,
|
| 1179 |
+
"train_speed(iter/s)": 0.080637
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"acc": 0.80154915,
|
| 1183 |
+
"epoch": 0.06932186527167111,
|
| 1184 |
+
"grad_norm": 0.19249100983142853,
|
| 1185 |
+
"learning_rate": 4.7520812266338885e-05,
|
| 1186 |
+
"loss": 0.6963346,
|
| 1187 |
+
"memory(GiB)": 12.9,
|
| 1188 |
+
"step": 540,
|
| 1189 |
+
"train_speed(iter/s)": 0.080856
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"acc": 0.81683502,
|
| 1193 |
+
"epoch": 0.06996373439455696,
|
| 1194 |
+
"grad_norm": 0.1994090974330902,
|
| 1195 |
+
"learning_rate": 4.669547078371504e-05,
|
| 1196 |
+
"loss": 0.6188817,
|
| 1197 |
+
"memory(GiB)": 12.9,
|
| 1198 |
+
"step": 545,
|
| 1199 |
+
"train_speed(iter/s)": 0.081075
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"acc": 0.82736206,
|
| 1203 |
+
"epoch": 0.0706056035174428,
|
| 1204 |
+
"grad_norm": 0.18659113347530365,
|
| 1205 |
+
"learning_rate": 4.5871032726383386e-05,
|
| 1206 |
+
"loss": 0.59354177,
|
| 1207 |
+
"memory(GiB)": 12.9,
|
| 1208 |
+
"step": 550,
|
| 1209 |
+
"train_speed(iter/s)": 0.081266
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.0706056035174428,
|
| 1213 |
+
"eval_acc": 0.8192911509362449,
|
| 1214 |
+
"eval_loss": 0.6139300465583801,
|
| 1215 |
+
"eval_runtime": 200.9073,
|
| 1216 |
+
"eval_samples_per_second": 6.262,
|
| 1217 |
+
"eval_steps_per_second": 6.262,
|
| 1218 |
+
"step": 550
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"acc": 0.81306267,
|
| 1222 |
+
"epoch": 0.07124747264032864,
|
| 1223 |
+
"grad_norm": 0.17537347972393036,
|
| 1224 |
+
"learning_rate": 4.504772348747687e-05,
|
| 1225 |
+
"loss": 0.63172441,
|
| 1226 |
+
"memory(GiB)": 12.9,
|
| 1227 |
+
"step": 555,
|
| 1228 |
+
"train_speed(iter/s)": 0.079145
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"acc": 0.82534027,
|
| 1232 |
+
"epoch": 0.07188934176321449,
|
| 1233 |
+
"grad_norm": 0.21789848804473877,
|
| 1234 |
+
"learning_rate": 4.4225768151520694e-05,
|
| 1235 |
+
"loss": 0.58555121,
|
| 1236 |
+
"memory(GiB)": 12.9,
|
| 1237 |
+
"step": 560,
|
| 1238 |
+
"train_speed(iter/s)": 0.079394
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"acc": 0.82140818,
|
| 1242 |
+
"epoch": 0.07253121088610033,
|
| 1243 |
+
"grad_norm": 0.19700835645198822,
|
| 1244 |
+
"learning_rate": 4.3405391432896555e-05,
|
| 1245 |
+
"loss": 0.59516869,
|
| 1246 |
+
"memory(GiB)": 12.9,
|
| 1247 |
+
"step": 565,
|
| 1248 |
+
"train_speed(iter/s)": 0.079597
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"acc": 0.81845322,
|
| 1252 |
+
"epoch": 0.07317308000898617,
|
| 1253 |
+
"grad_norm": 0.1818612515926361,
|
| 1254 |
+
"learning_rate": 4.2586817614407895e-05,
|
| 1255 |
+
"loss": 0.60017176,
|
| 1256 |
+
"memory(GiB)": 12.9,
|
| 1257 |
+
"step": 570,
|
| 1258 |
+
"train_speed(iter/s)": 0.079791
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"acc": 0.82169409,
|
| 1262 |
+
"epoch": 0.07381494913187202,
|
| 1263 |
+
"grad_norm": 0.2091558277606964,
|
| 1264 |
+
"learning_rate": 4.17702704859633e-05,
|
| 1265 |
+
"loss": 0.59121842,
|
| 1266 |
+
"memory(GiB)": 12.9,
|
| 1267 |
+
"step": 575,
|
| 1268 |
+
"train_speed(iter/s)": 0.080013
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"acc": 0.81168118,
|
| 1272 |
+
"epoch": 0.07445681825475786,
|
| 1273 |
+
"grad_norm": 0.20149122178554535,
|
| 1274 |
+
"learning_rate": 4.095597328339452e-05,
|
| 1275 |
+
"loss": 0.64874387,
|
| 1276 |
+
"memory(GiB)": 12.9,
|
| 1277 |
+
"step": 580,
|
| 1278 |
+
"train_speed(iter/s)": 0.080249
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"acc": 0.82017975,
|
| 1282 |
+
"epoch": 0.0750986873776437,
|
| 1283 |
+
"grad_norm": 0.21395570039749146,
|
| 1284 |
+
"learning_rate": 4.0144148627425993e-05,
|
| 1285 |
+
"loss": 0.63141985,
|
| 1286 |
+
"memory(GiB)": 12.9,
|
| 1287 |
+
"step": 585,
|
| 1288 |
+
"train_speed(iter/s)": 0.080445
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"acc": 0.8225503,
|
| 1292 |
+
"epoch": 0.07574055650052955,
|
| 1293 |
+
"grad_norm": 0.21270450949668884,
|
| 1294 |
+
"learning_rate": 3.933501846281267e-05,
|
| 1295 |
+
"loss": 0.59338393,
|
| 1296 |
+
"memory(GiB)": 12.9,
|
| 1297 |
+
"step": 590,
|
| 1298 |
+
"train_speed(iter/s)": 0.080661
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"acc": 0.80733299,
|
| 1302 |
+
"epoch": 0.07638242562341538,
|
| 1303 |
+
"grad_norm": 0.21861939132213593,
|
| 1304 |
+
"learning_rate": 3.852880399766243e-05,
|
| 1305 |
+
"loss": 0.65440679,
|
| 1306 |
+
"memory(GiB)": 12.9,
|
| 1307 |
+
"step": 595,
|
| 1308 |
+
"train_speed(iter/s)": 0.080898
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"acc": 0.81755505,
|
| 1312 |
+
"epoch": 0.07702429474630122,
|
| 1313 |
+
"grad_norm": 0.1930130422115326,
|
| 1314 |
+
"learning_rate": 3.772572564296005e-05,
|
| 1315 |
+
"loss": 0.61422372,
|
| 1316 |
+
"memory(GiB)": 12.9,
|
| 1317 |
+
"step": 600,
|
| 1318 |
+
"train_speed(iter/s)": 0.081091
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.07702429474630122,
|
| 1322 |
+
"eval_acc": 0.8198276458076612,
|
| 1323 |
+
"eval_loss": 0.6109773516654968,
|
| 1324 |
+
"eval_runtime": 195.2232,
|
| 1325 |
+
"eval_samples_per_second": 6.444,
|
| 1326 |
+
"eval_steps_per_second": 6.444,
|
| 1327 |
+
"step": 600
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"acc": 0.82081652,
|
| 1331 |
+
"epoch": 0.07766616386918707,
|
| 1332 |
+
"grad_norm": 0.20753733813762665,
|
| 1333 |
+
"learning_rate": 3.6926002952309016e-05,
|
| 1334 |
+
"loss": 0.6057888,
|
| 1335 |
+
"memory(GiB)": 12.9,
|
| 1336 |
+
"step": 605,
|
| 1337 |
+
"train_speed(iter/s)": 0.07921
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"acc": 0.82343655,
|
| 1341 |
+
"epoch": 0.07830803299207291,
|
| 1342 |
+
"grad_norm": 0.1979513019323349,
|
| 1343 |
+
"learning_rate": 3.612985456190778e-05,
|
| 1344 |
+
"loss": 0.61725841,
|
| 1345 |
+
"memory(GiB)": 12.9,
|
| 1346 |
+
"step": 610,
|
| 1347 |
+
"train_speed(iter/s)": 0.079401
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"acc": 0.81410999,
|
| 1351 |
+
"epoch": 0.07894990211495875,
|
| 1352 |
+
"grad_norm": 0.20070388913154602,
|
| 1353 |
+
"learning_rate": 3.533749813077677e-05,
|
| 1354 |
+
"loss": 0.62781944,
|
| 1355 |
+
"memory(GiB)": 12.9,
|
| 1356 |
+
"step": 615,
|
| 1357 |
+
"train_speed(iter/s)": 0.079569
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"acc": 0.81817207,
|
| 1361 |
+
"epoch": 0.0795917712378446,
|
| 1362 |
+
"grad_norm": 0.2327299267053604,
|
| 1363 |
+
"learning_rate": 3.4549150281252636e-05,
|
| 1364 |
+
"loss": 0.62505813,
|
| 1365 |
+
"memory(GiB)": 12.9,
|
| 1366 |
+
"step": 620,
|
| 1367 |
+
"train_speed(iter/s)": 0.079788
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"acc": 0.82294455,
|
| 1371 |
+
"epoch": 0.08023364036073044,
|
| 1372 |
+
"grad_norm": 0.18113943934440613,
|
| 1373 |
+
"learning_rate": 3.3765026539765834e-05,
|
| 1374 |
+
"loss": 0.60028605,
|
| 1375 |
+
"memory(GiB)": 12.9,
|
| 1376 |
+
"step": 625,
|
| 1377 |
+
"train_speed(iter/s)": 0.079975
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"acc": 0.82047234,
|
| 1381 |
+
"epoch": 0.08087550948361628,
|
| 1382 |
+
"grad_norm": 0.20408566296100616,
|
| 1383 |
+
"learning_rate": 3.298534127791785e-05,
|
| 1384 |
+
"loss": 0.61079011,
|
| 1385 |
+
"memory(GiB)": 12.9,
|
| 1386 |
+
"step": 630,
|
| 1387 |
+
"train_speed(iter/s)": 0.080162
|
| 1388 |
+
},
|
| 1389 |
+
{
|
| 1390 |
+
"acc": 0.82677517,
|
| 1391 |
+
"epoch": 0.08151737860650213,
|
| 1392 |
+
"grad_norm": 0.2132798135280609,
|
| 1393 |
+
"learning_rate": 3.221030765387417e-05,
|
| 1394 |
+
"loss": 0.57911015,
|
| 1395 |
+
"memory(GiB)": 12.9,
|
| 1396 |
+
"step": 635,
|
| 1397 |
+
"train_speed(iter/s)": 0.08036
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"acc": 0.81979742,
|
| 1401 |
+
"epoch": 0.08215924772938797,
|
| 1402 |
+
"grad_norm": 0.20325441658496857,
|
| 1403 |
+
"learning_rate": 3.144013755408895e-05,
|
| 1404 |
+
"loss": 0.60286283,
|
| 1405 |
+
"memory(GiB)": 12.9,
|
| 1406 |
+
"step": 640,
|
| 1407 |
+
"train_speed(iter/s)": 0.080558
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"acc": 0.83071327,
|
| 1411 |
+
"epoch": 0.08280111685227382,
|
| 1412 |
+
"grad_norm": 0.20148617029190063,
|
| 1413 |
+
"learning_rate": 3.0675041535377405e-05,
|
| 1414 |
+
"loss": 0.58266845,
|
| 1415 |
+
"memory(GiB)": 12.9,
|
| 1416 |
+
"step": 645,
|
| 1417 |
+
"train_speed(iter/s)": 0.080764
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"acc": 0.83186378,
|
| 1421 |
+
"epoch": 0.08344298597515966,
|
| 1422 |
+
"grad_norm": 0.19807127118110657,
|
| 1423 |
+
"learning_rate": 2.991522876735154e-05,
|
| 1424 |
+
"loss": 0.55458455,
|
| 1425 |
+
"memory(GiB)": 12.9,
|
| 1426 |
+
"step": 650,
|
| 1427 |
+
"train_speed(iter/s)": 0.080948
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 0.08344298597515966,
|
| 1431 |
+
"eval_acc": 0.8209896385738762,
|
| 1432 |
+
"eval_loss": 0.6076882481575012,
|
| 1433 |
+
"eval_runtime": 194.4544,
|
| 1434 |
+
"eval_samples_per_second": 6.469,
|
| 1435 |
+
"eval_steps_per_second": 6.469,
|
| 1436 |
+
"step": 650
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"acc": 0.82214499,
|
| 1440 |
+
"epoch": 0.0840848550980455,
|
| 1441 |
+
"grad_norm": 0.18806923925876617,
|
| 1442 |
+
"learning_rate": 2.916090697523549e-05,
|
| 1443 |
+
"loss": 0.61260557,
|
| 1444 |
+
"memory(GiB)": 12.9,
|
| 1445 |
+
"step": 655,
|
| 1446 |
+
"train_speed(iter/s)": 0.079195
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"acc": 0.82406235,
|
| 1450 |
+
"epoch": 0.08472672422093135,
|
| 1451 |
+
"grad_norm": 0.19712701439857483,
|
| 1452 |
+
"learning_rate": 2.8412282383075363e-05,
|
| 1453 |
+
"loss": 0.59967513,
|
| 1454 |
+
"memory(GiB)": 12.9,
|
| 1455 |
+
"step": 660,
|
| 1456 |
+
"train_speed(iter/s)": 0.079403
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"acc": 0.80978308,
|
| 1460 |
+
"epoch": 0.08536859334381719,
|
| 1461 |
+
"grad_norm": 0.19845040142536163,
|
| 1462 |
+
"learning_rate": 2.766955965735968e-05,
|
| 1463 |
+
"loss": 0.64144659,
|
| 1464 |
+
"memory(GiB)": 12.9,
|
| 1465 |
+
"step": 665,
|
| 1466 |
+
"train_speed(iter/s)": 0.079587
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"acc": 0.81445723,
|
| 1470 |
+
"epoch": 0.08601046246670303,
|
| 1471 |
+
"grad_norm": 0.21892952919006348,
|
| 1472 |
+
"learning_rate": 2.693294185106562e-05,
|
| 1473 |
+
"loss": 0.62947636,
|
| 1474 |
+
"memory(GiB)": 12.9,
|
| 1475 |
+
"step": 670,
|
| 1476 |
+
"train_speed(iter/s)": 0.079776
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"acc": 0.82742786,
|
| 1480 |
+
"epoch": 0.08665233158958888,
|
| 1481 |
+
"grad_norm": 0.21680107712745667,
|
| 1482 |
+
"learning_rate": 2.6202630348146324e-05,
|
| 1483 |
+
"loss": 0.58508019,
|
| 1484 |
+
"memory(GiB)": 12.9,
|
| 1485 |
+
"step": 675,
|
| 1486 |
+
"train_speed(iter/s)": 0.07997
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"acc": 0.82206249,
|
| 1490 |
+
"epoch": 0.08729420071247472,
|
| 1491 |
+
"grad_norm": 0.19368013739585876,
|
| 1492 |
+
"learning_rate": 2.547882480847461e-05,
|
| 1493 |
+
"loss": 0.60457458,
|
| 1494 |
+
"memory(GiB)": 12.9,
|
| 1495 |
+
"step": 680,
|
| 1496 |
+
"train_speed(iter/s)": 0.080131
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"acc": 0.8187645,
|
| 1500 |
+
"epoch": 0.08793606983536056,
|
| 1501 |
+
"grad_norm": 0.21237029135227203,
|
| 1502 |
+
"learning_rate": 2.476172311325783e-05,
|
| 1503 |
+
"loss": 0.61911306,
|
| 1504 |
+
"memory(GiB)": 12.9,
|
| 1505 |
+
"step": 685,
|
| 1506 |
+
"train_speed(iter/s)": 0.080301
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"acc": 0.81704865,
|
| 1510 |
+
"epoch": 0.08857793895824641,
|
| 1511 |
+
"grad_norm": 0.22553302347660065,
|
| 1512 |
+
"learning_rate": 2.405152131093926e-05,
|
| 1513 |
+
"loss": 0.63167734,
|
| 1514 |
+
"memory(GiB)": 12.9,
|
| 1515 |
+
"step": 690,
|
| 1516 |
+
"train_speed(iter/s)": 0.080481
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"acc": 0.81163187,
|
| 1520 |
+
"epoch": 0.08921980808113225,
|
| 1521 |
+
"grad_norm": 0.21230626106262207,
|
| 1522 |
+
"learning_rate": 2.3348413563600325e-05,
|
| 1523 |
+
"loss": 0.63321238,
|
| 1524 |
+
"memory(GiB)": 12.9,
|
| 1525 |
+
"step": 695,
|
| 1526 |
+
"train_speed(iter/s)": 0.080651
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"acc": 0.81947212,
|
| 1530 |
+
"epoch": 0.0898616772040181,
|
| 1531 |
+
"grad_norm": 0.23210006952285767,
|
| 1532 |
+
"learning_rate": 2.2652592093878666e-05,
|
| 1533 |
+
"loss": 0.61235924,
|
| 1534 |
+
"memory(GiB)": 12.9,
|
| 1535 |
+
"step": 700,
|
| 1536 |
+
"train_speed(iter/s)": 0.08085
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.0898616772040181,
|
| 1540 |
+
"eval_acc": 0.8203855599214145,
|
| 1541 |
+
"eval_loss": 0.6076461672782898,
|
| 1542 |
+
"eval_runtime": 194.4087,
|
| 1543 |
+
"eval_samples_per_second": 6.471,
|
| 1544 |
+
"eval_steps_per_second": 6.471,
|
| 1545 |
+
"step": 700
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"acc": 0.81527042,
|
| 1549 |
+
"epoch": 0.09050354632690394,
|
| 1550 |
+
"grad_norm": 0.20815226435661316,
|
| 1551 |
+
"learning_rate": 2.196424713241637e-05,
|
| 1552 |
+
"loss": 0.63990374,
|
| 1553 |
+
"memory(GiB)": 12.9,
|
| 1554 |
+
"step": 705,
|
| 1555 |
+
"train_speed(iter/s)": 0.079227
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"acc": 0.82444172,
|
| 1559 |
+
"epoch": 0.09114541544978978,
|
| 1560 |
+
"grad_norm": 0.21324452757835388,
|
| 1561 |
+
"learning_rate": 2.128356686585282e-05,
|
| 1562 |
+
"loss": 0.59049015,
|
| 1563 |
+
"memory(GiB)": 12.9,
|
| 1564 |
+
"step": 710,
|
| 1565 |
+
"train_speed(iter/s)": 0.079404
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"acc": 0.81617746,
|
| 1569 |
+
"epoch": 0.09178728457267563,
|
| 1570 |
+
"grad_norm": 0.19047819077968597,
|
| 1571 |
+
"learning_rate": 2.061073738537635e-05,
|
| 1572 |
+
"loss": 0.60989962,
|
| 1573 |
+
"memory(GiB)": 12.9,
|
| 1574 |
+
"step": 715,
|
| 1575 |
+
"train_speed(iter/s)": 0.079576
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"acc": 0.80728264,
|
| 1579 |
+
"epoch": 0.09242915369556147,
|
| 1580 |
+
"grad_norm": 0.2062956988811493,
|
| 1581 |
+
"learning_rate": 1.9945942635848748e-05,
|
| 1582 |
+
"loss": 0.67080445,
|
| 1583 |
+
"memory(GiB)": 12.9,
|
| 1584 |
+
"step": 720,
|
| 1585 |
+
"train_speed(iter/s)": 0.079742
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"acc": 0.81671677,
|
| 1589 |
+
"epoch": 0.09307102281844731,
|
| 1590 |
+
"grad_norm": 0.19861043989658356,
|
| 1591 |
+
"learning_rate": 1.928936436551661e-05,
|
| 1592 |
+
"loss": 0.61908646,
|
| 1593 |
+
"memory(GiB)": 12.9,
|
| 1594 |
+
"step": 725,
|
| 1595 |
+
"train_speed(iter/s)": 0.079905
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"acc": 0.81090012,
|
| 1599 |
+
"epoch": 0.09371289194133316,
|
| 1600 |
+
"grad_norm": 0.19133475422859192,
|
| 1601 |
+
"learning_rate": 1.8641182076323148e-05,
|
| 1602 |
+
"loss": 0.66370716,
|
| 1603 |
+
"memory(GiB)": 12.9,
|
| 1604 |
+
"step": 730,
|
| 1605 |
+
"train_speed(iter/s)": 0.08006
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"acc": 0.81192856,
|
| 1609 |
+
"epoch": 0.094354761064219,
|
| 1610 |
+
"grad_norm": 0.22429423034191132,
|
| 1611 |
+
"learning_rate": 1.800157297483417e-05,
|
| 1612 |
+
"loss": 0.66476107,
|
| 1613 |
+
"memory(GiB)": 12.9,
|
| 1614 |
+
"step": 735,
|
| 1615 |
+
"train_speed(iter/s)": 0.080239
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"acc": 0.82513466,
|
| 1619 |
+
"epoch": 0.09499663018710484,
|
| 1620 |
+
"grad_norm": 0.21653637290000916,
|
| 1621 |
+
"learning_rate": 1.7370711923791567e-05,
|
| 1622 |
+
"loss": 0.58692684,
|
| 1623 |
+
"memory(GiB)": 12.9,
|
| 1624 |
+
"step": 740,
|
| 1625 |
+
"train_speed(iter/s)": 0.080402
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"acc": 0.82555256,
|
| 1629 |
+
"epoch": 0.09563849930999069,
|
| 1630 |
+
"grad_norm": 0.17780368030071259,
|
| 1631 |
+
"learning_rate": 1.6748771394307585e-05,
|
| 1632 |
+
"loss": 0.57462683,
|
| 1633 |
+
"memory(GiB)": 12.9,
|
| 1634 |
+
"step": 745,
|
| 1635 |
+
"train_speed(iter/s)": 0.080553
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"acc": 0.81813164,
|
| 1639 |
+
"epoch": 0.09628036843287653,
|
| 1640 |
+
"grad_norm": 0.2015465795993805,
|
| 1641 |
+
"learning_rate": 1.6135921418712956e-05,
|
| 1642 |
+
"loss": 0.61962047,
|
| 1643 |
+
"memory(GiB)": 12.9,
|
| 1644 |
+
"step": 750,
|
| 1645 |
+
"train_speed(iter/s)": 0.080707
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"epoch": 0.09628036843287653,
|
| 1649 |
+
"eval_acc": 0.8204207990619473,
|
| 1650 |
+
"eval_loss": 0.6083427667617798,
|
| 1651 |
+
"eval_runtime": 194.7163,
|
| 1652 |
+
"eval_samples_per_second": 6.461,
|
| 1653 |
+
"eval_steps_per_second": 6.461,
|
| 1654 |
+
"step": 750
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"acc": 0.82061501,
|
| 1658 |
+
"epoch": 0.09692223755576237,
|
| 1659 |
+
"grad_norm": 0.2477208524942398,
|
| 1660 |
+
"learning_rate": 1.553232954407171e-05,
|
| 1661 |
+
"loss": 0.61750922,
|
| 1662 |
+
"memory(GiB)": 12.9,
|
| 1663 |
+
"step": 755,
|
| 1664 |
+
"train_speed(iter/s)": 0.079226
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"acc": 0.81846237,
|
| 1668 |
+
"epoch": 0.09756410667864822,
|
| 1669 |
+
"grad_norm": 0.22278401255607605,
|
| 1670 |
+
"learning_rate": 1.4938160786375572e-05,
|
| 1671 |
+
"loss": 0.61280818,
|
| 1672 |
+
"memory(GiB)": 12.9,
|
| 1673 |
+
"step": 760,
|
| 1674 |
+
"train_speed(iter/s)": 0.079391
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"acc": 0.81434851,
|
| 1678 |
+
"epoch": 0.09820597580153406,
|
| 1679 |
+
"grad_norm": 0.22640761733055115,
|
| 1680 |
+
"learning_rate": 1.435357758543015e-05,
|
| 1681 |
+
"loss": 0.63006077,
|
| 1682 |
+
"memory(GiB)": 12.9,
|
| 1683 |
+
"step": 765,
|
| 1684 |
+
"train_speed(iter/s)": 0.079552
|
| 1685 |
+
},
|
| 1686 |
+
{
|
| 1687 |
+
"acc": 0.81086941,
|
| 1688 |
+
"epoch": 0.0988478449244199,
|
| 1689 |
+
"grad_norm": 0.20250476896762848,
|
| 1690 |
+
"learning_rate": 1.3778739760445552e-05,
|
| 1691 |
+
"loss": 0.63865561,
|
| 1692 |
+
"memory(GiB)": 12.9,
|
| 1693 |
+
"step": 770,
|
| 1694 |
+
"train_speed(iter/s)": 0.079713
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"acc": 0.81333466,
|
| 1698 |
+
"epoch": 0.09948971404730575,
|
| 1699 |
+
"grad_norm": 0.21983562409877777,
|
| 1700 |
+
"learning_rate": 1.3213804466343421e-05,
|
| 1701 |
+
"loss": 0.63764729,
|
| 1702 |
+
"memory(GiB)": 12.9,
|
| 1703 |
+
"step": 775,
|
| 1704 |
+
"train_speed(iter/s)": 0.079857
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"acc": 0.81033506,
|
| 1708 |
+
"epoch": 0.1001315831701916,
|
| 1709 |
+
"grad_norm": 0.21427662670612335,
|
| 1710 |
+
"learning_rate": 1.2658926150792322e-05,
|
| 1711 |
+
"loss": 0.62097745,
|
| 1712 |
+
"memory(GiB)": 12.9,
|
| 1713 |
+
"step": 780,
|
| 1714 |
+
"train_speed(iter/s)": 0.080004
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"acc": 0.82130699,
|
| 1718 |
+
"epoch": 0.10077345229307744,
|
| 1719 |
+
"grad_norm": 0.20593635737895966,
|
| 1720 |
+
"learning_rate": 1.2114256511983274e-05,
|
| 1721 |
+
"loss": 0.60655851,
|
| 1722 |
+
"memory(GiB)": 12.9,
|
| 1723 |
+
"step": 785,
|
| 1724 |
+
"train_speed(iter/s)": 0.080173
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"acc": 0.82261295,
|
| 1728 |
+
"epoch": 0.10141532141596328,
|
| 1729 |
+
"grad_norm": 0.2052464336156845,
|
| 1730 |
+
"learning_rate": 1.157994445715706e-05,
|
| 1731 |
+
"loss": 0.61125717,
|
| 1732 |
+
"memory(GiB)": 12.9,
|
| 1733 |
+
"step": 790,
|
| 1734 |
+
"train_speed(iter/s)": 0.080342
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"acc": 0.82531328,
|
| 1738 |
+
"epoch": 0.10205719053884912,
|
| 1739 |
+
"grad_norm": 0.17600791156291962,
|
| 1740 |
+
"learning_rate": 1.1056136061894384e-05,
|
| 1741 |
+
"loss": 0.59510598,
|
| 1742 |
+
"memory(GiB)": 12.9,
|
| 1743 |
+
"step": 795,
|
| 1744 |
+
"train_speed(iter/s)": 0.08049
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"acc": 0.81779881,
|
| 1748 |
+
"epoch": 0.10269905966173497,
|
| 1749 |
+
"grad_norm": 0.2141779363155365,
|
| 1750 |
+
"learning_rate": 1.0542974530180327e-05,
|
| 1751 |
+
"loss": 0.63478656,
|
| 1752 |
+
"memory(GiB)": 12.9,
|
| 1753 |
+
"step": 800,
|
| 1754 |
+
"train_speed(iter/s)": 0.080624
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 0.10269905966173497,
|
| 1758 |
+
"eval_acc": 0.8207697400203976,
|
| 1759 |
+
"eval_loss": 0.6077002882957458,
|
| 1760 |
+
"eval_runtime": 194.8773,
|
| 1761 |
+
"eval_samples_per_second": 6.455,
|
| 1762 |
+
"eval_steps_per_second": 6.455,
|
| 1763 |
+
"step": 800
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"acc": 0.80902939,
|
| 1767 |
+
"epoch": 0.10334092878462081,
|
| 1768 |
+
"grad_norm": 0.2090810388326645,
|
| 1769 |
+
"learning_rate": 1.0040600155253765e-05,
|
| 1770 |
+
"loss": 0.66100531,
|
| 1771 |
+
"memory(GiB)": 12.9,
|
| 1772 |
+
"step": 805,
|
| 1773 |
+
"train_speed(iter/s)": 0.079226
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"acc": 0.81437035,
|
| 1777 |
+
"epoch": 0.10398279790750665,
|
| 1778 |
+
"grad_norm": 0.22697587311267853,
|
| 1779 |
+
"learning_rate": 9.549150281252633e-06,
|
| 1780 |
+
"loss": 0.63930345,
|
| 1781 |
+
"memory(GiB)": 12.9,
|
| 1782 |
+
"step": 810,
|
| 1783 |
+
"train_speed(iter/s)": 0.079387
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"acc": 0.81263914,
|
| 1787 |
+
"epoch": 0.1046246670303925,
|
| 1788 |
+
"grad_norm": 0.21495579183101654,
|
| 1789 |
+
"learning_rate": 9.068759265665384e-06,
|
| 1790 |
+
"loss": 0.63128233,
|
| 1791 |
+
"memory(GiB)": 12.9,
|
| 1792 |
+
"step": 815,
|
| 1793 |
+
"train_speed(iter/s)": 0.079538
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"acc": 0.80606184,
|
| 1797 |
+
"epoch": 0.10526653615327834,
|
| 1798 |
+
"grad_norm": 0.24026648700237274,
|
| 1799 |
+
"learning_rate": 8.599558442598998e-06,
|
| 1800 |
+
"loss": 0.66762576,
|
| 1801 |
+
"memory(GiB)": 12.9,
|
| 1802 |
+
"step": 820,
|
| 1803 |
+
"train_speed(iter/s)": 0.07969
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"acc": 0.83144102,
|
| 1807 |
+
"epoch": 0.10590840527616419,
|
| 1808 |
+
"grad_norm": 0.2179374396800995,
|
| 1809 |
+
"learning_rate": 8.141676086873572e-06,
|
| 1810 |
+
"loss": 0.56980219,
|
| 1811 |
+
"memory(GiB)": 12.9,
|
| 1812 |
+
"step": 825,
|
| 1813 |
+
"train_speed(iter/s)": 0.079849
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"acc": 0.81910725,
|
| 1817 |
+
"epoch": 0.10655027439905003,
|
| 1818 |
+
"grad_norm": 0.19496454298496246,
|
| 1819 |
+
"learning_rate": 7.695237378953223e-06,
|
| 1820 |
+
"loss": 0.61694736,
|
| 1821 |
+
"memory(GiB)": 12.9,
|
| 1822 |
+
"step": 830,
|
| 1823 |
+
"train_speed(iter/s)": 0.07997
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"acc": 0.81330662,
|
| 1827 |
+
"epoch": 0.10719214352193587,
|
| 1828 |
+
"grad_norm": 0.23187701404094696,
|
| 1829 |
+
"learning_rate": 7.260364370723044e-06,
|
| 1830 |
+
"loss": 0.64870877,
|
| 1831 |
+
"memory(GiB)": 12.9,
|
| 1832 |
+
"step": 835,
|
| 1833 |
+
"train_speed(iter/s)": 0.080126
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"acc": 0.81870842,
|
| 1837 |
+
"epoch": 0.10783401264482172,
|
| 1838 |
+
"grad_norm": 0.20400239527225494,
|
| 1839 |
+
"learning_rate": 6.837175952121306e-06,
|
| 1840 |
+
"loss": 0.61115222,
|
| 1841 |
+
"memory(GiB)": 12.9,
|
| 1842 |
+
"step": 840,
|
| 1843 |
+
"train_speed(iter/s)": 0.080258
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"acc": 0.82128296,
|
| 1847 |
+
"epoch": 0.10847588176770756,
|
| 1848 |
+
"grad_norm": 0.24608130753040314,
|
| 1849 |
+
"learning_rate": 6.425787818636131e-06,
|
| 1850 |
+
"loss": 0.61838484,
|
| 1851 |
+
"memory(GiB)": 12.9,
|
| 1852 |
+
"step": 845,
|
| 1853 |
+
"train_speed(iter/s)": 0.080422
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"acc": 0.8118104,
|
| 1857 |
+
"epoch": 0.1091177508905934,
|
| 1858 |
+
"grad_norm": 0.21192343533039093,
|
| 1859 |
+
"learning_rate": 6.026312439675552e-06,
|
| 1860 |
+
"loss": 0.67037339,
|
| 1861 |
+
"memory(GiB)": 12.9,
|
| 1862 |
+
"step": 850,
|
| 1863 |
+
"train_speed(iter/s)": 0.080553
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 0.1091177508905934,
|
| 1867 |
+
"eval_acc": 0.8208858520874116,
|
| 1868 |
+
"eval_loss": 0.606462836265564,
|
| 1869 |
+
"eval_runtime": 194.9575,
|
| 1870 |
+
"eval_samples_per_second": 6.453,
|
| 1871 |
+
"eval_steps_per_second": 6.453,
|
| 1872 |
+
"step": 850
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"acc": 0.81058187,
|
| 1876 |
+
"epoch": 0.10975962001347925,
|
| 1877 |
+
"grad_norm": 0.2256067544221878,
|
| 1878 |
+
"learning_rate": 5.6388590278194096e-06,
|
| 1879 |
+
"loss": 0.63853312,
|
| 1880 |
+
"memory(GiB)": 12.9,
|
| 1881 |
+
"step": 855,
|
| 1882 |
+
"train_speed(iter/s)": 0.079236
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"acc": 0.8174571,
|
| 1886 |
+
"epoch": 0.11040148913636509,
|
| 1887 |
+
"grad_norm": 0.21500875055789948,
|
| 1888 |
+
"learning_rate": 5.263533508961827e-06,
|
| 1889 |
+
"loss": 0.6172534,
|
| 1890 |
+
"memory(GiB)": 12.9,
|
| 1891 |
+
"step": 860,
|
| 1892 |
+
"train_speed(iter/s)": 0.079369
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"acc": 0.8093504,
|
| 1896 |
+
"epoch": 0.11104335825925093,
|
| 1897 |
+
"grad_norm": 0.23700734972953796,
|
| 1898 |
+
"learning_rate": 4.900438493352055e-06,
|
| 1899 |
+
"loss": 0.65724411,
|
| 1900 |
+
"memory(GiB)": 12.9,
|
| 1901 |
+
"step": 865,
|
| 1902 |
+
"train_speed(iter/s)": 0.07952
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"acc": 0.81735506,
|
| 1906 |
+
"epoch": 0.11168522738213678,
|
| 1907 |
+
"grad_norm": 0.21098878979682922,
|
| 1908 |
+
"learning_rate": 4.549673247541875e-06,
|
| 1909 |
+
"loss": 0.61837373,
|
| 1910 |
+
"memory(GiB)": 12.9,
|
| 1911 |
+
"step": 870,
|
| 1912 |
+
"train_speed(iter/s)": 0.079659
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"acc": 0.81503067,
|
| 1916 |
+
"epoch": 0.11232709650502262,
|
| 1917 |
+
"grad_norm": 0.20609669387340546,
|
| 1918 |
+
"learning_rate": 4.2113336672471245e-06,
|
| 1919 |
+
"loss": 0.61365747,
|
| 1920 |
+
"memory(GiB)": 12.9,
|
| 1921 |
+
"step": 875,
|
| 1922 |
+
"train_speed(iter/s)": 0.079794
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"acc": 0.80629053,
|
| 1926 |
+
"epoch": 0.11296896562790847,
|
| 1927 |
+
"grad_norm": 0.2180800437927246,
|
| 1928 |
+
"learning_rate": 3.885512251130763e-06,
|
| 1929 |
+
"loss": 0.66433964,
|
| 1930 |
+
"memory(GiB)": 12.9,
|
| 1931 |
+
"step": 880,
|
| 1932 |
+
"train_speed(iter/s)": 0.079933
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"acc": 0.82552185,
|
| 1936 |
+
"epoch": 0.11361083475079431,
|
| 1937 |
+
"grad_norm": 0.2074093371629715,
|
| 1938 |
+
"learning_rate": 3.5722980755146517e-06,
|
| 1939 |
+
"loss": 0.5967988,
|
| 1940 |
+
"memory(GiB)": 12.9,
|
| 1941 |
+
"step": 885,
|
| 1942 |
+
"train_speed(iter/s)": 0.080078
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"acc": 0.81032143,
|
| 1946 |
+
"epoch": 0.11425270387368015,
|
| 1947 |
+
"grad_norm": 0.232750803232193,
|
| 1948 |
+
"learning_rate": 3.271776770026963e-06,
|
| 1949 |
+
"loss": 0.66238441,
|
| 1950 |
+
"memory(GiB)": 12.9,
|
| 1951 |
+
"step": 890,
|
| 1952 |
+
"train_speed(iter/s)": 0.080218
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"acc": 0.8156251,
|
| 1956 |
+
"epoch": 0.114894572996566,
|
| 1957 |
+
"grad_norm": 0.24590888619422913,
|
| 1958 |
+
"learning_rate": 2.9840304941919415e-06,
|
| 1959 |
+
"loss": 0.6185041,
|
| 1960 |
+
"memory(GiB)": 12.9,
|
| 1961 |
+
"step": 895,
|
| 1962 |
+
"train_speed(iter/s)": 0.080356
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"acc": 0.81570625,
|
| 1966 |
+
"epoch": 0.11553644211945184,
|
| 1967 |
+
"grad_norm": 0.2058228850364685,
|
| 1968 |
+
"learning_rate": 2.7091379149682685e-06,
|
| 1969 |
+
"loss": 0.61333613,
|
| 1970 |
+
"memory(GiB)": 12.9,
|
| 1971 |
+
"step": 900,
|
| 1972 |
+
"train_speed(iter/s)": 0.080474
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 0.11553644211945184,
|
| 1976 |
+
"eval_acc": 0.8202886005724797,
|
| 1977 |
+
"eval_loss": 0.6085067391395569,
|
| 1978 |
+
"eval_runtime": 194.5686,
|
| 1979 |
+
"eval_samples_per_second": 6.466,
|
| 1980 |
+
"eval_steps_per_second": 6.466,
|
| 1981 |
+
"step": 900
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"acc": 0.81097269,
|
| 1985 |
+
"epoch": 0.11617831124233768,
|
| 1986 |
+
"grad_norm": 0.23131993412971497,
|
| 1987 |
+
"learning_rate": 2.4471741852423237e-06,
|
| 1988 |
+
"loss": 0.64109416,
|
| 1989 |
+
"memory(GiB)": 12.9,
|
| 1990 |
+
"step": 905,
|
| 1991 |
+
"train_speed(iter/s)": 0.079218
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"acc": 0.82361622,
|
| 1995 |
+
"epoch": 0.11682018036522353,
|
| 1996 |
+
"grad_norm": 0.18522906303405762,
|
| 1997 |
+
"learning_rate": 2.1982109232821178e-06,
|
| 1998 |
+
"loss": 0.59271107,
|
| 1999 |
+
"memory(GiB)": 12.9,
|
| 2000 |
+
"step": 910,
|
| 2001 |
+
"train_speed(iter/s)": 0.079368
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"acc": 0.81258793,
|
| 2005 |
+
"epoch": 0.11746204948810937,
|
| 2006 |
+
"grad_norm": 0.21756961941719055,
|
| 2007 |
+
"learning_rate": 1.962316193157593e-06,
|
| 2008 |
+
"loss": 0.65264983,
|
| 2009 |
+
"memory(GiB)": 12.9,
|
| 2010 |
+
"step": 915,
|
| 2011 |
+
"train_speed(iter/s)": 0.07951
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"acc": 0.82611704,
|
| 2015 |
+
"epoch": 0.11810391861099521,
|
| 2016 |
+
"grad_norm": 0.20278231799602509,
|
| 2017 |
+
"learning_rate": 1.7395544861325718e-06,
|
| 2018 |
+
"loss": 0.59875569,
|
| 2019 |
+
"memory(GiB)": 12.9,
|
| 2020 |
+
"step": 920,
|
| 2021 |
+
"train_speed(iter/s)": 0.079655
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"acc": 0.82435198,
|
| 2025 |
+
"epoch": 0.11874578773388106,
|
| 2026 |
+
"grad_norm": 0.21583449840545654,
|
| 2027 |
+
"learning_rate": 1.5299867030334814e-06,
|
| 2028 |
+
"loss": 0.62275109,
|
| 2029 |
+
"memory(GiB)": 12.9,
|
| 2030 |
+
"step": 925,
|
| 2031 |
+
"train_speed(iter/s)": 0.079795
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"acc": 0.81717892,
|
| 2035 |
+
"epoch": 0.1193876568567669,
|
| 2036 |
+
"grad_norm": 0.22039002180099487,
|
| 2037 |
+
"learning_rate": 1.333670137599713e-06,
|
| 2038 |
+
"loss": 0.61020494,
|
| 2039 |
+
"memory(GiB)": 12.9,
|
| 2040 |
+
"step": 930,
|
| 2041 |
+
"train_speed(iter/s)": 0.079939
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"acc": 0.80936031,
|
| 2045 |
+
"epoch": 0.12002952597965275,
|
| 2046 |
+
"grad_norm": 0.21585673093795776,
|
| 2047 |
+
"learning_rate": 1.1506584608200367e-06,
|
| 2048 |
+
"loss": 0.63481708,
|
| 2049 |
+
"memory(GiB)": 12.9,
|
| 2050 |
+
"step": 935,
|
| 2051 |
+
"train_speed(iter/s)": 0.080073
|
| 2052 |
+
},
|
| 2053 |
+
{
|
| 2054 |
+
"acc": 0.81828098,
|
| 2055 |
+
"epoch": 0.12067139510253859,
|
| 2056 |
+
"grad_norm": 0.22403886914253235,
|
| 2057 |
+
"learning_rate": 9.810017062595322e-07,
|
| 2058 |
+
"loss": 0.62871428,
|
| 2059 |
+
"memory(GiB)": 12.9,
|
| 2060 |
+
"step": 940,
|
| 2061 |
+
"train_speed(iter/s)": 0.080211
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"acc": 0.82708139,
|
| 2065 |
+
"epoch": 0.12131326422542443,
|
| 2066 |
+
"grad_norm": 0.22789925336837769,
|
| 2067 |
+
"learning_rate": 8.247462563808817e-07,
|
| 2068 |
+
"loss": 0.59829245,
|
| 2069 |
+
"memory(GiB)": 12.9,
|
| 2070 |
+
"step": 945,
|
| 2071 |
+
"train_speed(iter/s)": 0.080336
|
| 2072 |
+
},
|
| 2073 |
+
{
|
| 2074 |
+
"acc": 0.81116629,
|
| 2075 |
+
"epoch": 0.12195513334831028,
|
| 2076 |
+
"grad_norm": 0.22641904652118683,
|
| 2077 |
+
"learning_rate": 6.819348298638839e-07,
|
| 2078 |
+
"loss": 0.629322,
|
| 2079 |
+
"memory(GiB)": 12.9,
|
| 2080 |
+
"step": 950,
|
| 2081 |
+
"train_speed(iter/s)": 0.080481
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.12195513334831028,
|
| 2085 |
+
"eval_acc": 0.8201861908583086,
|
| 2086 |
+
"eval_loss": 0.6082066297531128,
|
| 2087 |
+
"eval_runtime": 194.2718,
|
| 2088 |
+
"eval_samples_per_second": 6.475,
|
| 2089 |
+
"eval_steps_per_second": 6.475,
|
| 2090 |
+
"step": 950
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"acc": 0.81035719,
|
| 2094 |
+
"epoch": 0.12259700247119612,
|
| 2095 |
+
"grad_norm": 0.21176832914352417,
|
| 2096 |
+
"learning_rate": 5.526064699265753e-07,
|
| 2097 |
+
"loss": 0.65304608,
|
| 2098 |
+
"memory(GiB)": 12.9,
|
| 2099 |
+
"step": 955,
|
| 2100 |
+
"train_speed(iter/s)": 0.079321
|
| 2101 |
+
},
|
| 2102 |
+
{
|
| 2103 |
+
"acc": 0.80980167,
|
| 2104 |
+
"epoch": 0.12323887159408196,
|
| 2105 |
+
"grad_norm": 0.23720386624336243,
|
| 2106 |
+
"learning_rate": 4.367965336512403e-07,
|
| 2107 |
+
"loss": 0.65838566,
|
| 2108 |
+
"memory(GiB)": 12.9,
|
| 2109 |
+
"step": 960,
|
| 2110 |
+
"train_speed(iter/s)": 0.079457
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"acc": 0.81608143,
|
| 2114 |
+
"epoch": 0.12388074071696781,
|
| 2115 |
+
"grad_norm": 0.19302093982696533,
|
| 2116 |
+
"learning_rate": 3.3453668231809286e-07,
|
| 2117 |
+
"loss": 0.64156389,
|
| 2118 |
+
"memory(GiB)": 12.9,
|
| 2119 |
+
"step": 965,
|
| 2120 |
+
"train_speed(iter/s)": 0.079569
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"acc": 0.81429224,
|
| 2124 |
+
"epoch": 0.12452260983985365,
|
| 2125 |
+
"grad_norm": 0.20239369571208954,
|
| 2126 |
+
"learning_rate": 2.458548727494292e-07,
|
| 2127 |
+
"loss": 0.63968878,
|
| 2128 |
+
"memory(GiB)": 12.9,
|
| 2129 |
+
"step": 970,
|
| 2130 |
+
"train_speed(iter/s)": 0.079694
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"acc": 0.80978498,
|
| 2134 |
+
"epoch": 0.1251644789627395,
|
| 2135 |
+
"grad_norm": 0.20085211098194122,
|
| 2136 |
+
"learning_rate": 1.7077534966650766e-07,
|
| 2137 |
+
"loss": 0.65152073,
|
| 2138 |
+
"memory(GiB)": 12.9,
|
| 2139 |
+
"step": 975,
|
| 2140 |
+
"train_speed(iter/s)": 0.079826
|
| 2141 |
+
},
|
| 2142 |
+
{
|
| 2143 |
+
"acc": 0.82283268,
|
| 2144 |
+
"epoch": 0.12580634808562535,
|
| 2145 |
+
"grad_norm": 0.23421017825603485,
|
| 2146 |
+
"learning_rate": 1.0931863906127327e-07,
|
| 2147 |
+
"loss": 0.59241028,
|
| 2148 |
+
"memory(GiB)": 12.9,
|
| 2149 |
+
"step": 980,
|
| 2150 |
+
"train_speed(iter/s)": 0.079952
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"acc": 0.81115065,
|
| 2154 |
+
"epoch": 0.12644821720851118,
|
| 2155 |
+
"grad_norm": 0.19245800375938416,
|
| 2156 |
+
"learning_rate": 6.150154258476315e-08,
|
| 2157 |
+
"loss": 0.64031863,
|
| 2158 |
+
"memory(GiB)": 12.9,
|
| 2159 |
+
"step": 985,
|
| 2160 |
+
"train_speed(iter/s)": 0.080066
|
| 2161 |
+
},
|
| 2162 |
+
{
|
| 2163 |
+
"acc": 0.81750393,
|
| 2164 |
+
"epoch": 0.12709008633139704,
|
| 2165 |
+
"grad_norm": 0.21410977840423584,
|
| 2166 |
+
"learning_rate": 2.7337132953697554e-08,
|
| 2167 |
+
"loss": 0.63289447,
|
| 2168 |
+
"memory(GiB)": 12.9,
|
| 2169 |
+
"step": 990,
|
| 2170 |
+
"train_speed(iter/s)": 0.080194
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"acc": 0.80839672,
|
| 2174 |
+
"epoch": 0.12773195545428287,
|
| 2175 |
+
"grad_norm": 0.24657242000102997,
|
| 2176 |
+
"learning_rate": 6.834750376549792e-09,
|
| 2177 |
+
"loss": 0.67404447,
|
| 2178 |
+
"memory(GiB)": 12.9,
|
| 2179 |
+
"step": 995,
|
| 2180 |
+
"train_speed(iter/s)": 0.080318
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"acc": 0.82744455,
|
| 2184 |
+
"epoch": 0.12837382457716873,
|
| 2185 |
+
"grad_norm": 0.20574873685836792,
|
| 2186 |
+
"learning_rate": 0.0,
|
| 2187 |
+
"loss": 0.58532543,
|
| 2188 |
+
"memory(GiB)": 12.9,
|
| 2189 |
+
"step": 1000,
|
| 2190 |
+
"train_speed(iter/s)": 0.080433
|
| 2191 |
+
},
|
| 2192 |
+
{
|
| 2193 |
+
"epoch": 0.12837382457716873,
|
| 2194 |
+
"eval_acc": 0.8205681371523807,
|
| 2195 |
+
"eval_loss": 0.6072012186050415,
|
| 2196 |
+
"eval_runtime": 194.0316,
|
| 2197 |
+
"eval_samples_per_second": 6.483,
|
| 2198 |
+
"eval_steps_per_second": 6.483,
|
| 2199 |
+
"step": 1000
|
| 2200 |
+
}
|
| 2201 |
+
],
|
| 2202 |
+
"logging_steps": 5,
|
| 2203 |
+
"max_steps": 1000,
|
| 2204 |
+
"num_input_tokens_seen": 0,
|
| 2205 |
+
"num_train_epochs": 1,
|
| 2206 |
+
"save_steps": 50,
|
| 2207 |
+
"stateful_callbacks": {
|
| 2208 |
+
"TrainerControl": {
|
| 2209 |
+
"args": {
|
| 2210 |
+
"should_epoch_stop": false,
|
| 2211 |
+
"should_evaluate": false,
|
| 2212 |
+
"should_log": false,
|
| 2213 |
+
"should_save": true,
|
| 2214 |
+
"should_training_stop": true
|
| 2215 |
+
},
|
| 2216 |
+
"attributes": {}
|
| 2217 |
+
}
|
| 2218 |
+
},
|
| 2219 |
+
"total_flos": 3.855587826431877e+17,
|
| 2220 |
+
"train_batch_size": 1,
|
| 2221 |
+
"trial_name": null,
|
| 2222 |
+
"trial_params": null
|
| 2223 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
|
| 3 |
+
size 7480
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [],
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 23 |
+
"task_type": "CAUSAL_LM",
|
| 24 |
+
"use_dora": false,
|
| 25 |
+
"use_rslora": false
|
| 26 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed32b9bb4a7994322f82959b3c889e3d5fcf6df641a4cf87d551f2291096bd65
|
| 3 |
+
size 50792328
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/additional_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/configuration.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_cfg": {
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"sft_type": "lora",
|
| 6 |
+
"tuner_backend": "peft",
|
| 7 |
+
"template_type": "phi3-vl",
|
| 8 |
+
"dtype": "bf16",
|
| 9 |
+
"system": null
|
| 10 |
+
}
|
| 11 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"eos_token_id": 32000,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"pad_token_id": 32000,
|
| 6 |
+
"transformers_version": "4.46.3"
|
| 7 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0d5b36d15d3b4cb5d6ac6c45668dd7a4e234996cf5b5bcfa427d6dcfc9581fe0
|
| 3 |
+
size 100878458
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1f993860293e99c2d3e78d865fcaaf179473939fc9348266d1308c749068004b
|
| 3 |
+
size 14244
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:933907a28d624df5625600b77cfaf69aac83ec99919cf400ec983afa16156fea
|
| 3 |
+
size 1064
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/sft_args.json
ADDED
|
@@ -0,0 +1,246 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_type": "phi3_5-vision-instruct",
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"full_determinism": false,
|
| 6 |
+
"sft_type": "lora",
|
| 7 |
+
"freeze_parameters": [],
|
| 8 |
+
"freeze_vit": false,
|
| 9 |
+
"freeze_parameters_ratio": 0.0,
|
| 10 |
+
"additional_trainable_parameters": [],
|
| 11 |
+
"tuner_backend": "peft",
|
| 12 |
+
"template_type": "phi3-vl",
|
| 13 |
+
"output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
|
| 14 |
+
"add_output_dir_suffix": true,
|
| 15 |
+
"ddp_backend": null,
|
| 16 |
+
"ddp_find_unused_parameters": null,
|
| 17 |
+
"ddp_broadcast_buffers": null,
|
| 18 |
+
"ddp_timeout": 1800,
|
| 19 |
+
"seed": 42,
|
| 20 |
+
"resume_from_checkpoint": null,
|
| 21 |
+
"resume_only_model": false,
|
| 22 |
+
"ignore_data_skip": false,
|
| 23 |
+
"dtype": "bf16",
|
| 24 |
+
"packing": false,
|
| 25 |
+
"train_backend": "transformers",
|
| 26 |
+
"tp": 1,
|
| 27 |
+
"pp": 1,
|
| 28 |
+
"min_lr": null,
|
| 29 |
+
"sequence_parallel": false,
|
| 30 |
+
"model_kwargs": {},
|
| 31 |
+
"loss_name": null,
|
| 32 |
+
"dataset": [
|
| 33 |
+
"llamafactory/OpenO1-SFT"
|
| 34 |
+
],
|
| 35 |
+
"val_dataset": [],
|
| 36 |
+
"dataset_seed": 42,
|
| 37 |
+
"dataset_test_ratio": 0.01,
|
| 38 |
+
"use_loss_scale": false,
|
| 39 |
+
"loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
|
| 40 |
+
"system": null,
|
| 41 |
+
"tools_prompt": "react_en",
|
| 42 |
+
"max_length": 2048,
|
| 43 |
+
"truncation_strategy": "delete",
|
| 44 |
+
"check_dataset_strategy": "none",
|
| 45 |
+
"streaming": false,
|
| 46 |
+
"streaming_val_size": 0,
|
| 47 |
+
"streaming_buffer_size": 16384,
|
| 48 |
+
"model_name": [
|
| 49 |
+
null,
|
| 50 |
+
null
|
| 51 |
+
],
|
| 52 |
+
"model_author": [
|
| 53 |
+
null,
|
| 54 |
+
null
|
| 55 |
+
],
|
| 56 |
+
"quant_method": null,
|
| 57 |
+
"quantization_bit": 0,
|
| 58 |
+
"hqq_axis": 0,
|
| 59 |
+
"hqq_dynamic_config_path": null,
|
| 60 |
+
"bnb_4bit_comp_dtype": "bf16",
|
| 61 |
+
"bnb_4bit_quant_type": "nf4",
|
| 62 |
+
"bnb_4bit_use_double_quant": true,
|
| 63 |
+
"bnb_4bit_quant_storage": null,
|
| 64 |
+
"rescale_image": -1,
|
| 65 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 66 |
+
"target_regex": null,
|
| 67 |
+
"modules_to_save": [],
|
| 68 |
+
"lora_rank": 8,
|
| 69 |
+
"lora_alpha": 32,
|
| 70 |
+
"lora_dropout": 0.05,
|
| 71 |
+
"lora_bias_trainable": "none",
|
| 72 |
+
"lora_dtype": null,
|
| 73 |
+
"lora_lr_ratio": null,
|
| 74 |
+
"use_rslora": false,
|
| 75 |
+
"use_dora": false,
|
| 76 |
+
"init_lora_weights": true,
|
| 77 |
+
"fourier_n_frequency": 2000,
|
| 78 |
+
"fourier_scaling": 300.0,
|
| 79 |
+
"rope_scaling": null,
|
| 80 |
+
"boft_block_size": 4,
|
| 81 |
+
"boft_block_num": 0,
|
| 82 |
+
"boft_n_butterfly_factor": 1,
|
| 83 |
+
"boft_dropout": 0.0,
|
| 84 |
+
"vera_rank": 256,
|
| 85 |
+
"vera_projection_prng_key": 0,
|
| 86 |
+
"vera_dropout": 0.0,
|
| 87 |
+
"vera_d_initial": 0.1,
|
| 88 |
+
"adapter_act": "gelu",
|
| 89 |
+
"adapter_length": 128,
|
| 90 |
+
"use_galore": false,
|
| 91 |
+
"galore_target_modules": null,
|
| 92 |
+
"galore_rank": 128,
|
| 93 |
+
"galore_update_proj_gap": 50,
|
| 94 |
+
"galore_scale": 1.0,
|
| 95 |
+
"galore_proj_type": "std",
|
| 96 |
+
"galore_optim_per_parameter": false,
|
| 97 |
+
"galore_with_embedding": false,
|
| 98 |
+
"galore_quantization": false,
|
| 99 |
+
"galore_proj_quant": false,
|
| 100 |
+
"galore_proj_bits": 4,
|
| 101 |
+
"galore_proj_group_size": 256,
|
| 102 |
+
"galore_cos_threshold": 0.4,
|
| 103 |
+
"galore_gamma_proj": 2,
|
| 104 |
+
"galore_queue_size": 5,
|
| 105 |
+
"adalora_target_r": 8,
|
| 106 |
+
"adalora_init_r": 12,
|
| 107 |
+
"adalora_tinit": 0,
|
| 108 |
+
"adalora_tfinal": 0,
|
| 109 |
+
"adalora_deltaT": 1,
|
| 110 |
+
"adalora_beta1": 0.85,
|
| 111 |
+
"adalora_beta2": 0.85,
|
| 112 |
+
"adalora_orth_reg_weight": 0.5,
|
| 113 |
+
"ia3_feedforward_modules": [],
|
| 114 |
+
"llamapro_num_new_blocks": 4,
|
| 115 |
+
"llamapro_num_groups": null,
|
| 116 |
+
"neftune_noise_alpha": null,
|
| 117 |
+
"neftune_backend": "transformers",
|
| 118 |
+
"lisa_activated_layers": 0,
|
| 119 |
+
"lisa_step_interval": 20,
|
| 120 |
+
"reft_layer_key": null,
|
| 121 |
+
"reft_layers": null,
|
| 122 |
+
"reft_rank": 4,
|
| 123 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 124 |
+
"reft_args": null,
|
| 125 |
+
"use_liger": false,
|
| 126 |
+
"gradient_checkpointing": true,
|
| 127 |
+
"vit_use_gc": true,
|
| 128 |
+
"deepspeed": null,
|
| 129 |
+
"batch_size": 1,
|
| 130 |
+
"eval_batch_size": 1,
|
| 131 |
+
"auto_find_batch_size": false,
|
| 132 |
+
"num_train_epochs": 1,
|
| 133 |
+
"max_steps": 1000,
|
| 134 |
+
"optim": "adamw_torch",
|
| 135 |
+
"adam_beta1": 0.9,
|
| 136 |
+
"adam_beta2": 0.95,
|
| 137 |
+
"adam_epsilon": 1e-08,
|
| 138 |
+
"learning_rate": 0.0001,
|
| 139 |
+
"weight_decay": 0.1,
|
| 140 |
+
"gradient_accumulation_steps": 16,
|
| 141 |
+
"max_grad_norm": 1,
|
| 142 |
+
"predict_with_generate": false,
|
| 143 |
+
"lr_scheduler_type": "cosine",
|
| 144 |
+
"lr_scheduler_kwargs": {},
|
| 145 |
+
"warmup_ratio": 0.05,
|
| 146 |
+
"warmup_steps": 0,
|
| 147 |
+
"eval_steps": 50,
|
| 148 |
+
"save_steps": 50,
|
| 149 |
+
"save_only_model": false,
|
| 150 |
+
"save_total_limit": null,
|
| 151 |
+
"logging_steps": 5,
|
| 152 |
+
"acc_steps": 1,
|
| 153 |
+
"dataloader_num_workers": 1,
|
| 154 |
+
"dataloader_pin_memory": true,
|
| 155 |
+
"dataloader_drop_last": false,
|
| 156 |
+
"push_to_hub": false,
|
| 157 |
+
"hub_model_id": null,
|
| 158 |
+
"hub_token": null,
|
| 159 |
+
"hub_private_repo": false,
|
| 160 |
+
"hub_strategy": "every_save",
|
| 161 |
+
"test_oom_error": false,
|
| 162 |
+
"disable_tqdm": false,
|
| 163 |
+
"lazy_tokenize": true,
|
| 164 |
+
"preprocess_num_proc": 1,
|
| 165 |
+
"use_flash_attn": null,
|
| 166 |
+
"ignore_args_error": false,
|
| 167 |
+
"check_model_is_latest": true,
|
| 168 |
+
"logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
|
| 169 |
+
"report_to": [
|
| 170 |
+
"tensorboard"
|
| 171 |
+
],
|
| 172 |
+
"acc_strategy": "token",
|
| 173 |
+
"save_on_each_node": false,
|
| 174 |
+
"evaluation_strategy": "steps",
|
| 175 |
+
"save_strategy": "steps",
|
| 176 |
+
"save_safetensors": true,
|
| 177 |
+
"gpu_memory_fraction": null,
|
| 178 |
+
"include_num_input_tokens_seen": false,
|
| 179 |
+
"local_repo_path": null,
|
| 180 |
+
"custom_register_path": null,
|
| 181 |
+
"custom_dataset_info": null,
|
| 182 |
+
"device_map_config": null,
|
| 183 |
+
"device_max_memory": [],
|
| 184 |
+
"max_new_tokens": 2048,
|
| 185 |
+
"do_sample": null,
|
| 186 |
+
"temperature": null,
|
| 187 |
+
"top_k": null,
|
| 188 |
+
"top_p": null,
|
| 189 |
+
"repetition_penalty": null,
|
| 190 |
+
"num_beams": 1,
|
| 191 |
+
"fsdp": "",
|
| 192 |
+
"fsdp_config": null,
|
| 193 |
+
"sequence_parallel_size": 1,
|
| 194 |
+
"model_layer_cls_name": null,
|
| 195 |
+
"metric_warmup_step": 0,
|
| 196 |
+
"fsdp_num": 1,
|
| 197 |
+
"per_device_train_batch_size": null,
|
| 198 |
+
"per_device_eval_batch_size": null,
|
| 199 |
+
"eval_strategy": null,
|
| 200 |
+
"self_cognition_sample": 0,
|
| 201 |
+
"train_dataset_mix_ratio": 0.0,
|
| 202 |
+
"train_dataset_mix_ds": [
|
| 203 |
+
"ms-bench"
|
| 204 |
+
],
|
| 205 |
+
"train_dataset_sample": -1,
|
| 206 |
+
"val_dataset_sample": null,
|
| 207 |
+
"safe_serialization": null,
|
| 208 |
+
"only_save_model": null,
|
| 209 |
+
"neftune_alpha": null,
|
| 210 |
+
"deepspeed_config_path": null,
|
| 211 |
+
"model_cache_dir": null,
|
| 212 |
+
"lora_dropout_p": null,
|
| 213 |
+
"lora_target_modules": [],
|
| 214 |
+
"lora_target_regex": null,
|
| 215 |
+
"lora_modules_to_save": [],
|
| 216 |
+
"boft_target_modules": [],
|
| 217 |
+
"boft_modules_to_save": [],
|
| 218 |
+
"vera_target_modules": [],
|
| 219 |
+
"vera_modules_to_save": [],
|
| 220 |
+
"ia3_target_modules": [],
|
| 221 |
+
"ia3_modules_to_save": [],
|
| 222 |
+
"custom_train_dataset_path": [],
|
| 223 |
+
"custom_val_dataset_path": [],
|
| 224 |
+
"device_map_config_path": null,
|
| 225 |
+
"push_hub_strategy": null,
|
| 226 |
+
"use_self_cognition": false,
|
| 227 |
+
"is_multimodal": true,
|
| 228 |
+
"is_vision": true,
|
| 229 |
+
"lora_use_embedding": false,
|
| 230 |
+
"lora_use_all": false,
|
| 231 |
+
"lora_m2s_use_embedding": false,
|
| 232 |
+
"lora_m2s_use_ln": false,
|
| 233 |
+
"torch_dtype": "torch.bfloat16",
|
| 234 |
+
"fp16": false,
|
| 235 |
+
"bf16": true,
|
| 236 |
+
"rank": -1,
|
| 237 |
+
"local_rank": -1,
|
| 238 |
+
"world_size": 1,
|
| 239 |
+
"local_world_size": 1,
|
| 240 |
+
"bnb_4bit_compute_dtype": "torch.bfloat16",
|
| 241 |
+
"load_in_4bit": false,
|
| 242 |
+
"load_in_8bit": false,
|
| 243 |
+
"train_sampler_random": true,
|
| 244 |
+
"train_type": "sft",
|
| 245 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
|
| 246 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/trainer_state.json
ADDED
|
@@ -0,0 +1,370 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.63503182,
|
| 3 |
+
"best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150",
|
| 4 |
+
"epoch": 0.019256073686575306,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 150,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"acc": 0.77952504,
|
| 13 |
+
"epoch": 0.0001283738245771687,
|
| 14 |
+
"grad_norm": 0.15511861443519592,
|
| 15 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 16 |
+
"loss": 0.82634771,
|
| 17 |
+
"memory(GiB)": 11.42,
|
| 18 |
+
"step": 1,
|
| 19 |
+
"train_speed(iter/s)": 0.092016
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"acc": 0.77674872,
|
| 23 |
+
"epoch": 0.0006418691228858435,
|
| 24 |
+
"grad_norm": 0.14591480791568756,
|
| 25 |
+
"learning_rate": 1e-05,
|
| 26 |
+
"loss": 0.8159712,
|
| 27 |
+
"memory(GiB)": 12.15,
|
| 28 |
+
"step": 5,
|
| 29 |
+
"train_speed(iter/s)": 0.10552
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"acc": 0.77379012,
|
| 33 |
+
"epoch": 0.001283738245771687,
|
| 34 |
+
"grad_norm": 0.151850163936615,
|
| 35 |
+
"learning_rate": 2e-05,
|
| 36 |
+
"loss": 0.8015564,
|
| 37 |
+
"memory(GiB)": 12.15,
|
| 38 |
+
"step": 10,
|
| 39 |
+
"train_speed(iter/s)": 0.107013
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"acc": 0.7784133,
|
| 43 |
+
"epoch": 0.0019256073686575307,
|
| 44 |
+
"grad_norm": 0.15997682511806488,
|
| 45 |
+
"learning_rate": 3e-05,
|
| 46 |
+
"loss": 0.79284344,
|
| 47 |
+
"memory(GiB)": 12.15,
|
| 48 |
+
"step": 15,
|
| 49 |
+
"train_speed(iter/s)": 0.110995
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"acc": 0.7815052,
|
| 53 |
+
"epoch": 0.002567476491543374,
|
| 54 |
+
"grad_norm": 0.14427673816680908,
|
| 55 |
+
"learning_rate": 4e-05,
|
| 56 |
+
"loss": 0.78122258,
|
| 57 |
+
"memory(GiB)": 12.9,
|
| 58 |
+
"step": 20,
|
| 59 |
+
"train_speed(iter/s)": 0.111462
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"acc": 0.7915082,
|
| 63 |
+
"epoch": 0.0032093456144292177,
|
| 64 |
+
"grad_norm": 0.1590222716331482,
|
| 65 |
+
"learning_rate": 5e-05,
|
| 66 |
+
"loss": 0.7404335,
|
| 67 |
+
"memory(GiB)": 12.9,
|
| 68 |
+
"step": 25,
|
| 69 |
+
"train_speed(iter/s)": 0.112268
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"acc": 0.80291214,
|
| 73 |
+
"epoch": 0.0038512147373150614,
|
| 74 |
+
"grad_norm": 0.13638992607593536,
|
| 75 |
+
"learning_rate": 6e-05,
|
| 76 |
+
"loss": 0.68063788,
|
| 77 |
+
"memory(GiB)": 12.9,
|
| 78 |
+
"step": 30,
|
| 79 |
+
"train_speed(iter/s)": 0.111517
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"acc": 0.79923964,
|
| 83 |
+
"epoch": 0.0044930838602009054,
|
| 84 |
+
"grad_norm": 0.1271245777606964,
|
| 85 |
+
"learning_rate": 7e-05,
|
| 86 |
+
"loss": 0.68800621,
|
| 87 |
+
"memory(GiB)": 12.9,
|
| 88 |
+
"step": 35,
|
| 89 |
+
"train_speed(iter/s)": 0.110574
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"acc": 0.80240812,
|
| 93 |
+
"epoch": 0.005134952983086748,
|
| 94 |
+
"grad_norm": 0.11937133222818375,
|
| 95 |
+
"learning_rate": 8e-05,
|
| 96 |
+
"loss": 0.69939818,
|
| 97 |
+
"memory(GiB)": 12.9,
|
| 98 |
+
"step": 40,
|
| 99 |
+
"train_speed(iter/s)": 0.109469
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"acc": 0.78317132,
|
| 103 |
+
"epoch": 0.005776822105972592,
|
| 104 |
+
"grad_norm": 0.1665358543395996,
|
| 105 |
+
"learning_rate": 9e-05,
|
| 106 |
+
"loss": 0.75735736,
|
| 107 |
+
"memory(GiB)": 12.9,
|
| 108 |
+
"step": 45,
|
| 109 |
+
"train_speed(iter/s)": 0.108968
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"acc": 0.80379133,
|
| 113 |
+
"epoch": 0.0064186912288584355,
|
| 114 |
+
"grad_norm": 0.14883440732955933,
|
| 115 |
+
"learning_rate": 0.0001,
|
| 116 |
+
"loss": 0.6824338,
|
| 117 |
+
"memory(GiB)": 12.9,
|
| 118 |
+
"step": 50,
|
| 119 |
+
"train_speed(iter/s)": 0.109163
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.0064186912288584355,
|
| 123 |
+
"eval_acc": 0.8081346555994846,
|
| 124 |
+
"eval_loss": 0.6729312539100647,
|
| 125 |
+
"eval_runtime": 195.4613,
|
| 126 |
+
"eval_samples_per_second": 6.436,
|
| 127 |
+
"eval_steps_per_second": 6.436,
|
| 128 |
+
"step": 50
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"acc": 0.7984889,
|
| 132 |
+
"epoch": 0.007060560351744279,
|
| 133 |
+
"grad_norm": 0.16687534749507904,
|
| 134 |
+
"learning_rate": 9.999316524962345e-05,
|
| 135 |
+
"loss": 0.7141089,
|
| 136 |
+
"memory(GiB)": 12.9,
|
| 137 |
+
"step": 55,
|
| 138 |
+
"train_speed(iter/s)": 0.078646
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"acc": 0.79216175,
|
| 142 |
+
"epoch": 0.007702429474630123,
|
| 143 |
+
"grad_norm": 0.17546051740646362,
|
| 144 |
+
"learning_rate": 9.997266286704631e-05,
|
| 145 |
+
"loss": 0.72419305,
|
| 146 |
+
"memory(GiB)": 12.9,
|
| 147 |
+
"step": 60,
|
| 148 |
+
"train_speed(iter/s)": 0.080466
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"acc": 0.80358973,
|
| 152 |
+
"epoch": 0.008344298597515967,
|
| 153 |
+
"grad_norm": 0.16079305112361908,
|
| 154 |
+
"learning_rate": 9.993849845741524e-05,
|
| 155 |
+
"loss": 0.67717872,
|
| 156 |
+
"memory(GiB)": 12.9,
|
| 157 |
+
"step": 65,
|
| 158 |
+
"train_speed(iter/s)": 0.082252
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"acc": 0.80615339,
|
| 162 |
+
"epoch": 0.008986167720401811,
|
| 163 |
+
"grad_norm": 0.1396234929561615,
|
| 164 |
+
"learning_rate": 9.989068136093873e-05,
|
| 165 |
+
"loss": 0.70638905,
|
| 166 |
+
"memory(GiB)": 12.9,
|
| 167 |
+
"step": 70,
|
| 168 |
+
"train_speed(iter/s)": 0.084
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"acc": 0.79676814,
|
| 172 |
+
"epoch": 0.009628036843287653,
|
| 173 |
+
"grad_norm": 0.1340462565422058,
|
| 174 |
+
"learning_rate": 9.98292246503335e-05,
|
| 175 |
+
"loss": 0.71420946,
|
| 176 |
+
"memory(GiB)": 12.9,
|
| 177 |
+
"step": 75,
|
| 178 |
+
"train_speed(iter/s)": 0.08542
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"acc": 0.79325166,
|
| 182 |
+
"epoch": 0.010269905966173496,
|
| 183 |
+
"grad_norm": 0.13259001076221466,
|
| 184 |
+
"learning_rate": 9.975414512725057e-05,
|
| 185 |
+
"loss": 0.71777782,
|
| 186 |
+
"memory(GiB)": 12.9,
|
| 187 |
+
"step": 80,
|
| 188 |
+
"train_speed(iter/s)": 0.086655
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"acc": 0.81705523,
|
| 192 |
+
"epoch": 0.01091177508905934,
|
| 193 |
+
"grad_norm": 0.15833652019500732,
|
| 194 |
+
"learning_rate": 9.966546331768191e-05,
|
| 195 |
+
"loss": 0.62526927,
|
| 196 |
+
"memory(GiB)": 12.9,
|
| 197 |
+
"step": 85,
|
| 198 |
+
"train_speed(iter/s)": 0.088014
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"acc": 0.80851898,
|
| 202 |
+
"epoch": 0.011553644211945184,
|
| 203 |
+
"grad_norm": 0.1456330418586731,
|
| 204 |
+
"learning_rate": 9.956320346634876e-05,
|
| 205 |
+
"loss": 0.68010745,
|
| 206 |
+
"memory(GiB)": 12.9,
|
| 207 |
+
"step": 90,
|
| 208 |
+
"train_speed(iter/s)": 0.088941
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"acc": 0.81903477,
|
| 212 |
+
"epoch": 0.012195513334831027,
|
| 213 |
+
"grad_norm": 0.14285945892333984,
|
| 214 |
+
"learning_rate": 9.944739353007344e-05,
|
| 215 |
+
"loss": 0.6090106,
|
| 216 |
+
"memory(GiB)": 12.9,
|
| 217 |
+
"step": 95,
|
| 218 |
+
"train_speed(iter/s)": 0.089902
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"acc": 0.82483721,
|
| 222 |
+
"epoch": 0.012837382457716871,
|
| 223 |
+
"grad_norm": 0.1478744000196457,
|
| 224 |
+
"learning_rate": 9.931806517013612e-05,
|
| 225 |
+
"loss": 0.59807158,
|
| 226 |
+
"memory(GiB)": 12.9,
|
| 227 |
+
"step": 100,
|
| 228 |
+
"train_speed(iter/s)": 0.090663
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.012837382457716871,
|
| 232 |
+
"eval_acc": 0.813768508772143,
|
| 233 |
+
"eval_loss": 0.645352840423584,
|
| 234 |
+
"eval_runtime": 195.755,
|
| 235 |
+
"eval_samples_per_second": 6.426,
|
| 236 |
+
"eval_steps_per_second": 6.426,
|
| 237 |
+
"step": 100
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"acc": 0.80671978,
|
| 241 |
+
"epoch": 0.013479251580602715,
|
| 242 |
+
"grad_norm": 0.15444877743721008,
|
| 243 |
+
"learning_rate": 9.917525374361912e-05,
|
| 244 |
+
"loss": 0.66537051,
|
| 245 |
+
"memory(GiB)": 12.9,
|
| 246 |
+
"step": 105,
|
| 247 |
+
"train_speed(iter/s)": 0.078062
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"acc": 0.81962786,
|
| 251 |
+
"epoch": 0.014121120703488558,
|
| 252 |
+
"grad_norm": 0.16826578974723816,
|
| 253 |
+
"learning_rate": 9.901899829374047e-05,
|
| 254 |
+
"loss": 0.60835891,
|
| 255 |
+
"memory(GiB)": 12.9,
|
| 256 |
+
"step": 110,
|
| 257 |
+
"train_speed(iter/s)": 0.079089
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"acc": 0.80644588,
|
| 261 |
+
"epoch": 0.014762989826374402,
|
| 262 |
+
"grad_norm": 0.1519591063261032,
|
| 263 |
+
"learning_rate": 9.884934153917997e-05,
|
| 264 |
+
"loss": 0.66763787,
|
| 265 |
+
"memory(GiB)": 12.9,
|
| 266 |
+
"step": 115,
|
| 267 |
+
"train_speed(iter/s)": 0.08012
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"acc": 0.8235981,
|
| 271 |
+
"epoch": 0.015404858949260246,
|
| 272 |
+
"grad_norm": 0.20040030777454376,
|
| 273 |
+
"learning_rate": 9.86663298624003e-05,
|
| 274 |
+
"loss": 0.5919826,
|
| 275 |
+
"memory(GiB)": 12.9,
|
| 276 |
+
"step": 120,
|
| 277 |
+
"train_speed(iter/s)": 0.081125
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"acc": 0.81199884,
|
| 281 |
+
"epoch": 0.01604672807214609,
|
| 282 |
+
"grad_norm": 0.1842738389968872,
|
| 283 |
+
"learning_rate": 9.847001329696653e-05,
|
| 284 |
+
"loss": 0.63266978,
|
| 285 |
+
"memory(GiB)": 12.9,
|
| 286 |
+
"step": 125,
|
| 287 |
+
"train_speed(iter/s)": 0.082093
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"acc": 0.81563005,
|
| 291 |
+
"epoch": 0.016688597195031935,
|
| 292 |
+
"grad_norm": 0.15375380218029022,
|
| 293 |
+
"learning_rate": 9.826044551386744e-05,
|
| 294 |
+
"loss": 0.61709371,
|
| 295 |
+
"memory(GiB)": 12.9,
|
| 296 |
+
"step": 130,
|
| 297 |
+
"train_speed(iter/s)": 0.082937
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"acc": 0.80918331,
|
| 301 |
+
"epoch": 0.017330466317917778,
|
| 302 |
+
"grad_norm": 0.14841115474700928,
|
| 303 |
+
"learning_rate": 9.803768380684242e-05,
|
| 304 |
+
"loss": 0.63595695,
|
| 305 |
+
"memory(GiB)": 12.9,
|
| 306 |
+
"step": 135,
|
| 307 |
+
"train_speed(iter/s)": 0.083738
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"acc": 0.81229877,
|
| 311 |
+
"epoch": 0.017972335440803622,
|
| 312 |
+
"grad_norm": 0.16627077758312225,
|
| 313 |
+
"learning_rate": 9.780178907671789e-05,
|
| 314 |
+
"loss": 0.64757662,
|
| 315 |
+
"memory(GiB)": 12.9,
|
| 316 |
+
"step": 140,
|
| 317 |
+
"train_speed(iter/s)": 0.084642
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"acc": 0.804142,
|
| 321 |
+
"epoch": 0.018614204563689465,
|
| 322 |
+
"grad_norm": 0.1714244931936264,
|
| 323 |
+
"learning_rate": 9.755282581475769e-05,
|
| 324 |
+
"loss": 0.6832706,
|
| 325 |
+
"memory(GiB)": 12.9,
|
| 326 |
+
"step": 145,
|
| 327 |
+
"train_speed(iter/s)": 0.085406
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"acc": 0.79688311,
|
| 331 |
+
"epoch": 0.019256073686575306,
|
| 332 |
+
"grad_norm": 0.18916593492031097,
|
| 333 |
+
"learning_rate": 9.729086208503174e-05,
|
| 334 |
+
"loss": 0.70668921,
|
| 335 |
+
"memory(GiB)": 12.9,
|
| 336 |
+
"step": 150,
|
| 337 |
+
"train_speed(iter/s)": 0.086183
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.019256073686575306,
|
| 341 |
+
"eval_acc": 0.8153510047395746,
|
| 342 |
+
"eval_loss": 0.6350318193435669,
|
| 343 |
+
"eval_runtime": 196.0265,
|
| 344 |
+
"eval_samples_per_second": 6.417,
|
| 345 |
+
"eval_steps_per_second": 6.417,
|
| 346 |
+
"step": 150
|
| 347 |
+
}
|
| 348 |
+
],
|
| 349 |
+
"logging_steps": 5,
|
| 350 |
+
"max_steps": 1000,
|
| 351 |
+
"num_input_tokens_seen": 0,
|
| 352 |
+
"num_train_epochs": 1,
|
| 353 |
+
"save_steps": 50,
|
| 354 |
+
"stateful_callbacks": {
|
| 355 |
+
"TrainerControl": {
|
| 356 |
+
"args": {
|
| 357 |
+
"should_epoch_stop": false,
|
| 358 |
+
"should_evaluate": false,
|
| 359 |
+
"should_log": false,
|
| 360 |
+
"should_save": true,
|
| 361 |
+
"should_training_stop": false
|
| 362 |
+
},
|
| 363 |
+
"attributes": {}
|
| 364 |
+
}
|
| 365 |
+
},
|
| 366 |
+
"total_flos": 5.844637904195174e+16,
|
| 367 |
+
"train_batch_size": 1,
|
| 368 |
+
"trial_name": null,
|
| 369 |
+
"trial_params": null
|
| 370 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
|
| 3 |
+
size 7480
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [],
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 23 |
+
"task_type": "CAUSAL_LM",
|
| 24 |
+
"use_dora": false,
|
| 25 |
+
"use_rslora": false
|
| 26 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d844e37c92e6154fc82860952fa7e91a623164af249cd9e431e3f7e2028e23d4
|
| 3 |
+
size 50792328
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/additional_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/configuration.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_cfg": {
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"sft_type": "lora",
|
| 6 |
+
"tuner_backend": "peft",
|
| 7 |
+
"template_type": "phi3-vl",
|
| 8 |
+
"dtype": "bf16",
|
| 9 |
+
"system": null
|
| 10 |
+
}
|
| 11 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"eos_token_id": 32000,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"pad_token_id": 32000,
|
| 6 |
+
"transformers_version": "4.46.3"
|
| 7 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1711fa8982f5b6fa02df8213057cc9e18d11d7fa2d89a4fc9aa20d86d7790023
|
| 3 |
+
size 100878458
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab89609811018c79003d804395390bda2de480fa77651cf4c7d56ad6035a26f0
|
| 3 |
+
size 14244
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:990a1cf86aba2c4ef745bb4fd8a9b7f25fcd3e01d84b539560e7d0b4ac6b96da
|
| 3 |
+
size 1064
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/sft_args.json
ADDED
|
@@ -0,0 +1,246 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_type": "phi3_5-vision-instruct",
|
| 3 |
+
"model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 4 |
+
"model_revision": "main",
|
| 5 |
+
"full_determinism": false,
|
| 6 |
+
"sft_type": "lora",
|
| 7 |
+
"freeze_parameters": [],
|
| 8 |
+
"freeze_vit": false,
|
| 9 |
+
"freeze_parameters_ratio": 0.0,
|
| 10 |
+
"additional_trainable_parameters": [],
|
| 11 |
+
"tuner_backend": "peft",
|
| 12 |
+
"template_type": "phi3-vl",
|
| 13 |
+
"output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
|
| 14 |
+
"add_output_dir_suffix": true,
|
| 15 |
+
"ddp_backend": null,
|
| 16 |
+
"ddp_find_unused_parameters": null,
|
| 17 |
+
"ddp_broadcast_buffers": null,
|
| 18 |
+
"ddp_timeout": 1800,
|
| 19 |
+
"seed": 42,
|
| 20 |
+
"resume_from_checkpoint": null,
|
| 21 |
+
"resume_only_model": false,
|
| 22 |
+
"ignore_data_skip": false,
|
| 23 |
+
"dtype": "bf16",
|
| 24 |
+
"packing": false,
|
| 25 |
+
"train_backend": "transformers",
|
| 26 |
+
"tp": 1,
|
| 27 |
+
"pp": 1,
|
| 28 |
+
"min_lr": null,
|
| 29 |
+
"sequence_parallel": false,
|
| 30 |
+
"model_kwargs": {},
|
| 31 |
+
"loss_name": null,
|
| 32 |
+
"dataset": [
|
| 33 |
+
"llamafactory/OpenO1-SFT"
|
| 34 |
+
],
|
| 35 |
+
"val_dataset": [],
|
| 36 |
+
"dataset_seed": 42,
|
| 37 |
+
"dataset_test_ratio": 0.01,
|
| 38 |
+
"use_loss_scale": false,
|
| 39 |
+
"loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
|
| 40 |
+
"system": null,
|
| 41 |
+
"tools_prompt": "react_en",
|
| 42 |
+
"max_length": 2048,
|
| 43 |
+
"truncation_strategy": "delete",
|
| 44 |
+
"check_dataset_strategy": "none",
|
| 45 |
+
"streaming": false,
|
| 46 |
+
"streaming_val_size": 0,
|
| 47 |
+
"streaming_buffer_size": 16384,
|
| 48 |
+
"model_name": [
|
| 49 |
+
null,
|
| 50 |
+
null
|
| 51 |
+
],
|
| 52 |
+
"model_author": [
|
| 53 |
+
null,
|
| 54 |
+
null
|
| 55 |
+
],
|
| 56 |
+
"quant_method": null,
|
| 57 |
+
"quantization_bit": 0,
|
| 58 |
+
"hqq_axis": 0,
|
| 59 |
+
"hqq_dynamic_config_path": null,
|
| 60 |
+
"bnb_4bit_comp_dtype": "bf16",
|
| 61 |
+
"bnb_4bit_quant_type": "nf4",
|
| 62 |
+
"bnb_4bit_use_double_quant": true,
|
| 63 |
+
"bnb_4bit_quant_storage": null,
|
| 64 |
+
"rescale_image": -1,
|
| 65 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 66 |
+
"target_regex": null,
|
| 67 |
+
"modules_to_save": [],
|
| 68 |
+
"lora_rank": 8,
|
| 69 |
+
"lora_alpha": 32,
|
| 70 |
+
"lora_dropout": 0.05,
|
| 71 |
+
"lora_bias_trainable": "none",
|
| 72 |
+
"lora_dtype": null,
|
| 73 |
+
"lora_lr_ratio": null,
|
| 74 |
+
"use_rslora": false,
|
| 75 |
+
"use_dora": false,
|
| 76 |
+
"init_lora_weights": true,
|
| 77 |
+
"fourier_n_frequency": 2000,
|
| 78 |
+
"fourier_scaling": 300.0,
|
| 79 |
+
"rope_scaling": null,
|
| 80 |
+
"boft_block_size": 4,
|
| 81 |
+
"boft_block_num": 0,
|
| 82 |
+
"boft_n_butterfly_factor": 1,
|
| 83 |
+
"boft_dropout": 0.0,
|
| 84 |
+
"vera_rank": 256,
|
| 85 |
+
"vera_projection_prng_key": 0,
|
| 86 |
+
"vera_dropout": 0.0,
|
| 87 |
+
"vera_d_initial": 0.1,
|
| 88 |
+
"adapter_act": "gelu",
|
| 89 |
+
"adapter_length": 128,
|
| 90 |
+
"use_galore": false,
|
| 91 |
+
"galore_target_modules": null,
|
| 92 |
+
"galore_rank": 128,
|
| 93 |
+
"galore_update_proj_gap": 50,
|
| 94 |
+
"galore_scale": 1.0,
|
| 95 |
+
"galore_proj_type": "std",
|
| 96 |
+
"galore_optim_per_parameter": false,
|
| 97 |
+
"galore_with_embedding": false,
|
| 98 |
+
"galore_quantization": false,
|
| 99 |
+
"galore_proj_quant": false,
|
| 100 |
+
"galore_proj_bits": 4,
|
| 101 |
+
"galore_proj_group_size": 256,
|
| 102 |
+
"galore_cos_threshold": 0.4,
|
| 103 |
+
"galore_gamma_proj": 2,
|
| 104 |
+
"galore_queue_size": 5,
|
| 105 |
+
"adalora_target_r": 8,
|
| 106 |
+
"adalora_init_r": 12,
|
| 107 |
+
"adalora_tinit": 0,
|
| 108 |
+
"adalora_tfinal": 0,
|
| 109 |
+
"adalora_deltaT": 1,
|
| 110 |
+
"adalora_beta1": 0.85,
|
| 111 |
+
"adalora_beta2": 0.85,
|
| 112 |
+
"adalora_orth_reg_weight": 0.5,
|
| 113 |
+
"ia3_feedforward_modules": [],
|
| 114 |
+
"llamapro_num_new_blocks": 4,
|
| 115 |
+
"llamapro_num_groups": null,
|
| 116 |
+
"neftune_noise_alpha": null,
|
| 117 |
+
"neftune_backend": "transformers",
|
| 118 |
+
"lisa_activated_layers": 0,
|
| 119 |
+
"lisa_step_interval": 20,
|
| 120 |
+
"reft_layer_key": null,
|
| 121 |
+
"reft_layers": null,
|
| 122 |
+
"reft_rank": 4,
|
| 123 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 124 |
+
"reft_args": null,
|
| 125 |
+
"use_liger": false,
|
| 126 |
+
"gradient_checkpointing": true,
|
| 127 |
+
"vit_use_gc": true,
|
| 128 |
+
"deepspeed": null,
|
| 129 |
+
"batch_size": 1,
|
| 130 |
+
"eval_batch_size": 1,
|
| 131 |
+
"auto_find_batch_size": false,
|
| 132 |
+
"num_train_epochs": 1,
|
| 133 |
+
"max_steps": 1000,
|
| 134 |
+
"optim": "adamw_torch",
|
| 135 |
+
"adam_beta1": 0.9,
|
| 136 |
+
"adam_beta2": 0.95,
|
| 137 |
+
"adam_epsilon": 1e-08,
|
| 138 |
+
"learning_rate": 0.0001,
|
| 139 |
+
"weight_decay": 0.1,
|
| 140 |
+
"gradient_accumulation_steps": 16,
|
| 141 |
+
"max_grad_norm": 1,
|
| 142 |
+
"predict_with_generate": false,
|
| 143 |
+
"lr_scheduler_type": "cosine",
|
| 144 |
+
"lr_scheduler_kwargs": {},
|
| 145 |
+
"warmup_ratio": 0.05,
|
| 146 |
+
"warmup_steps": 0,
|
| 147 |
+
"eval_steps": 50,
|
| 148 |
+
"save_steps": 50,
|
| 149 |
+
"save_only_model": false,
|
| 150 |
+
"save_total_limit": null,
|
| 151 |
+
"logging_steps": 5,
|
| 152 |
+
"acc_steps": 1,
|
| 153 |
+
"dataloader_num_workers": 1,
|
| 154 |
+
"dataloader_pin_memory": true,
|
| 155 |
+
"dataloader_drop_last": false,
|
| 156 |
+
"push_to_hub": false,
|
| 157 |
+
"hub_model_id": null,
|
| 158 |
+
"hub_token": null,
|
| 159 |
+
"hub_private_repo": false,
|
| 160 |
+
"hub_strategy": "every_save",
|
| 161 |
+
"test_oom_error": false,
|
| 162 |
+
"disable_tqdm": false,
|
| 163 |
+
"lazy_tokenize": true,
|
| 164 |
+
"preprocess_num_proc": 1,
|
| 165 |
+
"use_flash_attn": null,
|
| 166 |
+
"ignore_args_error": false,
|
| 167 |
+
"check_model_is_latest": true,
|
| 168 |
+
"logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
|
| 169 |
+
"report_to": [
|
| 170 |
+
"tensorboard"
|
| 171 |
+
],
|
| 172 |
+
"acc_strategy": "token",
|
| 173 |
+
"save_on_each_node": false,
|
| 174 |
+
"evaluation_strategy": "steps",
|
| 175 |
+
"save_strategy": "steps",
|
| 176 |
+
"save_safetensors": true,
|
| 177 |
+
"gpu_memory_fraction": null,
|
| 178 |
+
"include_num_input_tokens_seen": false,
|
| 179 |
+
"local_repo_path": null,
|
| 180 |
+
"custom_register_path": null,
|
| 181 |
+
"custom_dataset_info": null,
|
| 182 |
+
"device_map_config": null,
|
| 183 |
+
"device_max_memory": [],
|
| 184 |
+
"max_new_tokens": 2048,
|
| 185 |
+
"do_sample": null,
|
| 186 |
+
"temperature": null,
|
| 187 |
+
"top_k": null,
|
| 188 |
+
"top_p": null,
|
| 189 |
+
"repetition_penalty": null,
|
| 190 |
+
"num_beams": 1,
|
| 191 |
+
"fsdp": "",
|
| 192 |
+
"fsdp_config": null,
|
| 193 |
+
"sequence_parallel_size": 1,
|
| 194 |
+
"model_layer_cls_name": null,
|
| 195 |
+
"metric_warmup_step": 0,
|
| 196 |
+
"fsdp_num": 1,
|
| 197 |
+
"per_device_train_batch_size": null,
|
| 198 |
+
"per_device_eval_batch_size": null,
|
| 199 |
+
"eval_strategy": null,
|
| 200 |
+
"self_cognition_sample": 0,
|
| 201 |
+
"train_dataset_mix_ratio": 0.0,
|
| 202 |
+
"train_dataset_mix_ds": [
|
| 203 |
+
"ms-bench"
|
| 204 |
+
],
|
| 205 |
+
"train_dataset_sample": -1,
|
| 206 |
+
"val_dataset_sample": null,
|
| 207 |
+
"safe_serialization": null,
|
| 208 |
+
"only_save_model": null,
|
| 209 |
+
"neftune_alpha": null,
|
| 210 |
+
"deepspeed_config_path": null,
|
| 211 |
+
"model_cache_dir": null,
|
| 212 |
+
"lora_dropout_p": null,
|
| 213 |
+
"lora_target_modules": [],
|
| 214 |
+
"lora_target_regex": null,
|
| 215 |
+
"lora_modules_to_save": [],
|
| 216 |
+
"boft_target_modules": [],
|
| 217 |
+
"boft_modules_to_save": [],
|
| 218 |
+
"vera_target_modules": [],
|
| 219 |
+
"vera_modules_to_save": [],
|
| 220 |
+
"ia3_target_modules": [],
|
| 221 |
+
"ia3_modules_to_save": [],
|
| 222 |
+
"custom_train_dataset_path": [],
|
| 223 |
+
"custom_val_dataset_path": [],
|
| 224 |
+
"device_map_config_path": null,
|
| 225 |
+
"push_hub_strategy": null,
|
| 226 |
+
"use_self_cognition": false,
|
| 227 |
+
"is_multimodal": true,
|
| 228 |
+
"is_vision": true,
|
| 229 |
+
"lora_use_embedding": false,
|
| 230 |
+
"lora_use_all": false,
|
| 231 |
+
"lora_m2s_use_embedding": false,
|
| 232 |
+
"lora_m2s_use_ln": false,
|
| 233 |
+
"torch_dtype": "torch.bfloat16",
|
| 234 |
+
"fp16": false,
|
| 235 |
+
"bf16": true,
|
| 236 |
+
"rank": -1,
|
| 237 |
+
"local_rank": -1,
|
| 238 |
+
"world_size": 1,
|
| 239 |
+
"local_world_size": 1,
|
| 240 |
+
"bnb_4bit_compute_dtype": "torch.bfloat16",
|
| 241 |
+
"load_in_4bit": false,
|
| 242 |
+
"load_in_8bit": false,
|
| 243 |
+
"train_sampler_random": true,
|
| 244 |
+
"train_type": "sft",
|
| 245 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
|
| 246 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/trainer_state.json
ADDED
|
@@ -0,0 +1,479 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6316511,
|
| 3 |
+
"best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200",
|
| 4 |
+
"epoch": 0.025674764915433742,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 200,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"acc": 0.77952504,
|
| 13 |
+
"epoch": 0.0001283738245771687,
|
| 14 |
+
"grad_norm": 0.15511861443519592,
|
| 15 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 16 |
+
"loss": 0.82634771,
|
| 17 |
+
"memory(GiB)": 11.42,
|
| 18 |
+
"step": 1,
|
| 19 |
+
"train_speed(iter/s)": 0.092016
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"acc": 0.77674872,
|
| 23 |
+
"epoch": 0.0006418691228858435,
|
| 24 |
+
"grad_norm": 0.14591480791568756,
|
| 25 |
+
"learning_rate": 1e-05,
|
| 26 |
+
"loss": 0.8159712,
|
| 27 |
+
"memory(GiB)": 12.15,
|
| 28 |
+
"step": 5,
|
| 29 |
+
"train_speed(iter/s)": 0.10552
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"acc": 0.77379012,
|
| 33 |
+
"epoch": 0.001283738245771687,
|
| 34 |
+
"grad_norm": 0.151850163936615,
|
| 35 |
+
"learning_rate": 2e-05,
|
| 36 |
+
"loss": 0.8015564,
|
| 37 |
+
"memory(GiB)": 12.15,
|
| 38 |
+
"step": 10,
|
| 39 |
+
"train_speed(iter/s)": 0.107013
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"acc": 0.7784133,
|
| 43 |
+
"epoch": 0.0019256073686575307,
|
| 44 |
+
"grad_norm": 0.15997682511806488,
|
| 45 |
+
"learning_rate": 3e-05,
|
| 46 |
+
"loss": 0.79284344,
|
| 47 |
+
"memory(GiB)": 12.15,
|
| 48 |
+
"step": 15,
|
| 49 |
+
"train_speed(iter/s)": 0.110995
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"acc": 0.7815052,
|
| 53 |
+
"epoch": 0.002567476491543374,
|
| 54 |
+
"grad_norm": 0.14427673816680908,
|
| 55 |
+
"learning_rate": 4e-05,
|
| 56 |
+
"loss": 0.78122258,
|
| 57 |
+
"memory(GiB)": 12.9,
|
| 58 |
+
"step": 20,
|
| 59 |
+
"train_speed(iter/s)": 0.111462
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"acc": 0.7915082,
|
| 63 |
+
"epoch": 0.0032093456144292177,
|
| 64 |
+
"grad_norm": 0.1590222716331482,
|
| 65 |
+
"learning_rate": 5e-05,
|
| 66 |
+
"loss": 0.7404335,
|
| 67 |
+
"memory(GiB)": 12.9,
|
| 68 |
+
"step": 25,
|
| 69 |
+
"train_speed(iter/s)": 0.112268
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"acc": 0.80291214,
|
| 73 |
+
"epoch": 0.0038512147373150614,
|
| 74 |
+
"grad_norm": 0.13638992607593536,
|
| 75 |
+
"learning_rate": 6e-05,
|
| 76 |
+
"loss": 0.68063788,
|
| 77 |
+
"memory(GiB)": 12.9,
|
| 78 |
+
"step": 30,
|
| 79 |
+
"train_speed(iter/s)": 0.111517
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"acc": 0.79923964,
|
| 83 |
+
"epoch": 0.0044930838602009054,
|
| 84 |
+
"grad_norm": 0.1271245777606964,
|
| 85 |
+
"learning_rate": 7e-05,
|
| 86 |
+
"loss": 0.68800621,
|
| 87 |
+
"memory(GiB)": 12.9,
|
| 88 |
+
"step": 35,
|
| 89 |
+
"train_speed(iter/s)": 0.110574
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"acc": 0.80240812,
|
| 93 |
+
"epoch": 0.005134952983086748,
|
| 94 |
+
"grad_norm": 0.11937133222818375,
|
| 95 |
+
"learning_rate": 8e-05,
|
| 96 |
+
"loss": 0.69939818,
|
| 97 |
+
"memory(GiB)": 12.9,
|
| 98 |
+
"step": 40,
|
| 99 |
+
"train_speed(iter/s)": 0.109469
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"acc": 0.78317132,
|
| 103 |
+
"epoch": 0.005776822105972592,
|
| 104 |
+
"grad_norm": 0.1665358543395996,
|
| 105 |
+
"learning_rate": 9e-05,
|
| 106 |
+
"loss": 0.75735736,
|
| 107 |
+
"memory(GiB)": 12.9,
|
| 108 |
+
"step": 45,
|
| 109 |
+
"train_speed(iter/s)": 0.108968
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"acc": 0.80379133,
|
| 113 |
+
"epoch": 0.0064186912288584355,
|
| 114 |
+
"grad_norm": 0.14883440732955933,
|
| 115 |
+
"learning_rate": 0.0001,
|
| 116 |
+
"loss": 0.6824338,
|
| 117 |
+
"memory(GiB)": 12.9,
|
| 118 |
+
"step": 50,
|
| 119 |
+
"train_speed(iter/s)": 0.109163
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.0064186912288584355,
|
| 123 |
+
"eval_acc": 0.8081346555994846,
|
| 124 |
+
"eval_loss": 0.6729312539100647,
|
| 125 |
+
"eval_runtime": 195.4613,
|
| 126 |
+
"eval_samples_per_second": 6.436,
|
| 127 |
+
"eval_steps_per_second": 6.436,
|
| 128 |
+
"step": 50
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"acc": 0.7984889,
|
| 132 |
+
"epoch": 0.007060560351744279,
|
| 133 |
+
"grad_norm": 0.16687534749507904,
|
| 134 |
+
"learning_rate": 9.999316524962345e-05,
|
| 135 |
+
"loss": 0.7141089,
|
| 136 |
+
"memory(GiB)": 12.9,
|
| 137 |
+
"step": 55,
|
| 138 |
+
"train_speed(iter/s)": 0.078646
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"acc": 0.79216175,
|
| 142 |
+
"epoch": 0.007702429474630123,
|
| 143 |
+
"grad_norm": 0.17546051740646362,
|
| 144 |
+
"learning_rate": 9.997266286704631e-05,
|
| 145 |
+
"loss": 0.72419305,
|
| 146 |
+
"memory(GiB)": 12.9,
|
| 147 |
+
"step": 60,
|
| 148 |
+
"train_speed(iter/s)": 0.080466
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"acc": 0.80358973,
|
| 152 |
+
"epoch": 0.008344298597515967,
|
| 153 |
+
"grad_norm": 0.16079305112361908,
|
| 154 |
+
"learning_rate": 9.993849845741524e-05,
|
| 155 |
+
"loss": 0.67717872,
|
| 156 |
+
"memory(GiB)": 12.9,
|
| 157 |
+
"step": 65,
|
| 158 |
+
"train_speed(iter/s)": 0.082252
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"acc": 0.80615339,
|
| 162 |
+
"epoch": 0.008986167720401811,
|
| 163 |
+
"grad_norm": 0.1396234929561615,
|
| 164 |
+
"learning_rate": 9.989068136093873e-05,
|
| 165 |
+
"loss": 0.70638905,
|
| 166 |
+
"memory(GiB)": 12.9,
|
| 167 |
+
"step": 70,
|
| 168 |
+
"train_speed(iter/s)": 0.084
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"acc": 0.79676814,
|
| 172 |
+
"epoch": 0.009628036843287653,
|
| 173 |
+
"grad_norm": 0.1340462565422058,
|
| 174 |
+
"learning_rate": 9.98292246503335e-05,
|
| 175 |
+
"loss": 0.71420946,
|
| 176 |
+
"memory(GiB)": 12.9,
|
| 177 |
+
"step": 75,
|
| 178 |
+
"train_speed(iter/s)": 0.08542
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"acc": 0.79325166,
|
| 182 |
+
"epoch": 0.010269905966173496,
|
| 183 |
+
"grad_norm": 0.13259001076221466,
|
| 184 |
+
"learning_rate": 9.975414512725057e-05,
|
| 185 |
+
"loss": 0.71777782,
|
| 186 |
+
"memory(GiB)": 12.9,
|
| 187 |
+
"step": 80,
|
| 188 |
+
"train_speed(iter/s)": 0.086655
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"acc": 0.81705523,
|
| 192 |
+
"epoch": 0.01091177508905934,
|
| 193 |
+
"grad_norm": 0.15833652019500732,
|
| 194 |
+
"learning_rate": 9.966546331768191e-05,
|
| 195 |
+
"loss": 0.62526927,
|
| 196 |
+
"memory(GiB)": 12.9,
|
| 197 |
+
"step": 85,
|
| 198 |
+
"train_speed(iter/s)": 0.088014
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"acc": 0.80851898,
|
| 202 |
+
"epoch": 0.011553644211945184,
|
| 203 |
+
"grad_norm": 0.1456330418586731,
|
| 204 |
+
"learning_rate": 9.956320346634876e-05,
|
| 205 |
+
"loss": 0.68010745,
|
| 206 |
+
"memory(GiB)": 12.9,
|
| 207 |
+
"step": 90,
|
| 208 |
+
"train_speed(iter/s)": 0.088941
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"acc": 0.81903477,
|
| 212 |
+
"epoch": 0.012195513334831027,
|
| 213 |
+
"grad_norm": 0.14285945892333984,
|
| 214 |
+
"learning_rate": 9.944739353007344e-05,
|
| 215 |
+
"loss": 0.6090106,
|
| 216 |
+
"memory(GiB)": 12.9,
|
| 217 |
+
"step": 95,
|
| 218 |
+
"train_speed(iter/s)": 0.089902
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"acc": 0.82483721,
|
| 222 |
+
"epoch": 0.012837382457716871,
|
| 223 |
+
"grad_norm": 0.1478744000196457,
|
| 224 |
+
"learning_rate": 9.931806517013612e-05,
|
| 225 |
+
"loss": 0.59807158,
|
| 226 |
+
"memory(GiB)": 12.9,
|
| 227 |
+
"step": 100,
|
| 228 |
+
"train_speed(iter/s)": 0.090663
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.012837382457716871,
|
| 232 |
+
"eval_acc": 0.813768508772143,
|
| 233 |
+
"eval_loss": 0.645352840423584,
|
| 234 |
+
"eval_runtime": 195.755,
|
| 235 |
+
"eval_samples_per_second": 6.426,
|
| 236 |
+
"eval_steps_per_second": 6.426,
|
| 237 |
+
"step": 100
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"acc": 0.80671978,
|
| 241 |
+
"epoch": 0.013479251580602715,
|
| 242 |
+
"grad_norm": 0.15444877743721008,
|
| 243 |
+
"learning_rate": 9.917525374361912e-05,
|
| 244 |
+
"loss": 0.66537051,
|
| 245 |
+
"memory(GiB)": 12.9,
|
| 246 |
+
"step": 105,
|
| 247 |
+
"train_speed(iter/s)": 0.078062
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"acc": 0.81962786,
|
| 251 |
+
"epoch": 0.014121120703488558,
|
| 252 |
+
"grad_norm": 0.16826578974723816,
|
| 253 |
+
"learning_rate": 9.901899829374047e-05,
|
| 254 |
+
"loss": 0.60835891,
|
| 255 |
+
"memory(GiB)": 12.9,
|
| 256 |
+
"step": 110,
|
| 257 |
+
"train_speed(iter/s)": 0.079089
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"acc": 0.80644588,
|
| 261 |
+
"epoch": 0.014762989826374402,
|
| 262 |
+
"grad_norm": 0.1519591063261032,
|
| 263 |
+
"learning_rate": 9.884934153917997e-05,
|
| 264 |
+
"loss": 0.66763787,
|
| 265 |
+
"memory(GiB)": 12.9,
|
| 266 |
+
"step": 115,
|
| 267 |
+
"train_speed(iter/s)": 0.08012
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"acc": 0.8235981,
|
| 271 |
+
"epoch": 0.015404858949260246,
|
| 272 |
+
"grad_norm": 0.20040030777454376,
|
| 273 |
+
"learning_rate": 9.86663298624003e-05,
|
| 274 |
+
"loss": 0.5919826,
|
| 275 |
+
"memory(GiB)": 12.9,
|
| 276 |
+
"step": 120,
|
| 277 |
+
"train_speed(iter/s)": 0.081125
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"acc": 0.81199884,
|
| 281 |
+
"epoch": 0.01604672807214609,
|
| 282 |
+
"grad_norm": 0.1842738389968872,
|
| 283 |
+
"learning_rate": 9.847001329696653e-05,
|
| 284 |
+
"loss": 0.63266978,
|
| 285 |
+
"memory(GiB)": 12.9,
|
| 286 |
+
"step": 125,
|
| 287 |
+
"train_speed(iter/s)": 0.082093
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"acc": 0.81563005,
|
| 291 |
+
"epoch": 0.016688597195031935,
|
| 292 |
+
"grad_norm": 0.15375380218029022,
|
| 293 |
+
"learning_rate": 9.826044551386744e-05,
|
| 294 |
+
"loss": 0.61709371,
|
| 295 |
+
"memory(GiB)": 12.9,
|
| 296 |
+
"step": 130,
|
| 297 |
+
"train_speed(iter/s)": 0.082937
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"acc": 0.80918331,
|
| 301 |
+
"epoch": 0.017330466317917778,
|
| 302 |
+
"grad_norm": 0.14841115474700928,
|
| 303 |
+
"learning_rate": 9.803768380684242e-05,
|
| 304 |
+
"loss": 0.63595695,
|
| 305 |
+
"memory(GiB)": 12.9,
|
| 306 |
+
"step": 135,
|
| 307 |
+
"train_speed(iter/s)": 0.083738
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"acc": 0.81229877,
|
| 311 |
+
"epoch": 0.017972335440803622,
|
| 312 |
+
"grad_norm": 0.16627077758312225,
|
| 313 |
+
"learning_rate": 9.780178907671789e-05,
|
| 314 |
+
"loss": 0.64757662,
|
| 315 |
+
"memory(GiB)": 12.9,
|
| 316 |
+
"step": 140,
|
| 317 |
+
"train_speed(iter/s)": 0.084642
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"acc": 0.804142,
|
| 321 |
+
"epoch": 0.018614204563689465,
|
| 322 |
+
"grad_norm": 0.1714244931936264,
|
| 323 |
+
"learning_rate": 9.755282581475769e-05,
|
| 324 |
+
"loss": 0.6832706,
|
| 325 |
+
"memory(GiB)": 12.9,
|
| 326 |
+
"step": 145,
|
| 327 |
+
"train_speed(iter/s)": 0.085406
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"acc": 0.79688311,
|
| 331 |
+
"epoch": 0.019256073686575306,
|
| 332 |
+
"grad_norm": 0.18916593492031097,
|
| 333 |
+
"learning_rate": 9.729086208503174e-05,
|
| 334 |
+
"loss": 0.70668921,
|
| 335 |
+
"memory(GiB)": 12.9,
|
| 336 |
+
"step": 150,
|
| 337 |
+
"train_speed(iter/s)": 0.086183
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.019256073686575306,
|
| 341 |
+
"eval_acc": 0.8153510047395746,
|
| 342 |
+
"eval_loss": 0.6350318193435669,
|
| 343 |
+
"eval_runtime": 196.0265,
|
| 344 |
+
"eval_samples_per_second": 6.417,
|
| 345 |
+
"eval_steps_per_second": 6.417,
|
| 346 |
+
"step": 150
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"acc": 0.80884809,
|
| 350 |
+
"epoch": 0.01989794280946115,
|
| 351 |
+
"grad_norm": 0.17633555829524994,
|
| 352 |
+
"learning_rate": 9.701596950580806e-05,
|
| 353 |
+
"loss": 0.63387117,
|
| 354 |
+
"memory(GiB)": 12.9,
|
| 355 |
+
"step": 155,
|
| 356 |
+
"train_speed(iter/s)": 0.078254
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"acc": 0.81135025,
|
| 360 |
+
"epoch": 0.020539811932346993,
|
| 361 |
+
"grad_norm": 0.18200528621673584,
|
| 362 |
+
"learning_rate": 9.672822322997305e-05,
|
| 363 |
+
"loss": 0.65075536,
|
| 364 |
+
"memory(GiB)": 12.9,
|
| 365 |
+
"step": 160,
|
| 366 |
+
"train_speed(iter/s)": 0.078985
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"acc": 0.82410259,
|
| 370 |
+
"epoch": 0.021181681055232836,
|
| 371 |
+
"grad_norm": 0.14853200316429138,
|
| 372 |
+
"learning_rate": 9.642770192448536e-05,
|
| 373 |
+
"loss": 0.60177903,
|
| 374 |
+
"memory(GiB)": 12.9,
|
| 375 |
+
"step": 165,
|
| 376 |
+
"train_speed(iter/s)": 0.079746
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"acc": 0.80189457,
|
| 380 |
+
"epoch": 0.02182355017811868,
|
| 381 |
+
"grad_norm": 0.17732569575309753,
|
| 382 |
+
"learning_rate": 9.611448774886924e-05,
|
| 383 |
+
"loss": 0.68190188,
|
| 384 |
+
"memory(GiB)": 12.9,
|
| 385 |
+
"step": 170,
|
| 386 |
+
"train_speed(iter/s)": 0.080445
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"acc": 0.81763601,
|
| 390 |
+
"epoch": 0.022465419301004524,
|
| 391 |
+
"grad_norm": 0.3583473563194275,
|
| 392 |
+
"learning_rate": 9.578866633275288e-05,
|
| 393 |
+
"loss": 0.62211475,
|
| 394 |
+
"memory(GiB)": 12.9,
|
| 395 |
+
"step": 175,
|
| 396 |
+
"train_speed(iter/s)": 0.081173
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"acc": 0.81451321,
|
| 400 |
+
"epoch": 0.023107288423890367,
|
| 401 |
+
"grad_norm": 0.19369152188301086,
|
| 402 |
+
"learning_rate": 9.545032675245813e-05,
|
| 403 |
+
"loss": 0.63143706,
|
| 404 |
+
"memory(GiB)": 12.9,
|
| 405 |
+
"step": 180,
|
| 406 |
+
"train_speed(iter/s)": 0.081877
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"acc": 0.809447,
|
| 410 |
+
"epoch": 0.02374915754677621,
|
| 411 |
+
"grad_norm": 0.16049319505691528,
|
| 412 |
+
"learning_rate": 9.509956150664796e-05,
|
| 413 |
+
"loss": 0.6451148,
|
| 414 |
+
"memory(GiB)": 12.9,
|
| 415 |
+
"step": 185,
|
| 416 |
+
"train_speed(iter/s)": 0.082533
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"acc": 0.80372143,
|
| 420 |
+
"epoch": 0.024391026669662055,
|
| 421 |
+
"grad_norm": 0.19566483795642853,
|
| 422 |
+
"learning_rate": 9.473646649103818e-05,
|
| 423 |
+
"loss": 0.65715637,
|
| 424 |
+
"memory(GiB)": 12.9,
|
| 425 |
+
"step": 190,
|
| 426 |
+
"train_speed(iter/s)": 0.083203
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"acc": 0.81516018,
|
| 430 |
+
"epoch": 0.0250328957925479,
|
| 431 |
+
"grad_norm": 0.1836969554424286,
|
| 432 |
+
"learning_rate": 9.43611409721806e-05,
|
| 433 |
+
"loss": 0.63388405,
|
| 434 |
+
"memory(GiB)": 12.9,
|
| 435 |
+
"step": 195,
|
| 436 |
+
"train_speed(iter/s)": 0.083851
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"acc": 0.80683355,
|
| 440 |
+
"epoch": 0.025674764915433742,
|
| 441 |
+
"grad_norm": 0.15840834379196167,
|
| 442 |
+
"learning_rate": 9.397368756032445e-05,
|
| 443 |
+
"loss": 0.65765018,
|
| 444 |
+
"memory(GiB)": 12.9,
|
| 445 |
+
"step": 200,
|
| 446 |
+
"train_speed(iter/s)": 0.084362
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.025674764915433742,
|
| 450 |
+
"eval_acc": 0.8154263931167957,
|
| 451 |
+
"eval_loss": 0.6316511034965515,
|
| 452 |
+
"eval_runtime": 194.3299,
|
| 453 |
+
"eval_samples_per_second": 6.474,
|
| 454 |
+
"eval_steps_per_second": 6.474,
|
| 455 |
+
"step": 200
|
| 456 |
+
}
|
| 457 |
+
],
|
| 458 |
+
"logging_steps": 5,
|
| 459 |
+
"max_steps": 1000,
|
| 460 |
+
"num_input_tokens_seen": 0,
|
| 461 |
+
"num_train_epochs": 1,
|
| 462 |
+
"save_steps": 50,
|
| 463 |
+
"stateful_callbacks": {
|
| 464 |
+
"TrainerControl": {
|
| 465 |
+
"args": {
|
| 466 |
+
"should_epoch_stop": false,
|
| 467 |
+
"should_evaluate": false,
|
| 468 |
+
"should_log": false,
|
| 469 |
+
"should_save": true,
|
| 470 |
+
"should_training_stop": false
|
| 471 |
+
},
|
| 472 |
+
"attributes": {}
|
| 473 |
+
}
|
| 474 |
+
},
|
| 475 |
+
"total_flos": 7.75762245139415e+16,
|
| 476 |
+
"train_batch_size": 1,
|
| 477 |
+
"trial_name": null,
|
| 478 |
+
"trial_params": null
|
| 479 |
+
}
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
|
| 3 |
+
size 7480
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [],
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
|
| 23 |
+
"task_type": "CAUSAL_LM",
|
| 24 |
+
"use_dora": false,
|
| 25 |
+
"use_rslora": false
|
| 26 |
+
}
|