Upload folder using huggingface_hub
Browse files- README.md +207 -0
- adapter_config.json +132 -0
- adapter_model.safetensors +3 -0
- checkpoint-10000/README.md +207 -0
- checkpoint-10000/adapter_config.json +132 -0
- checkpoint-10000/adapter_model.safetensors +3 -0
- checkpoint-10000/experiment_cfg/metadata.json +515 -0
- checkpoint-10000/optimizer.pt +3 -0
- checkpoint-10000/rng_state.pth +3 -0
- checkpoint-10000/scheduler.pt +3 -0
- checkpoint-10000/trainer_state.json +0 -0
- checkpoint-6000/README.md +207 -0
- checkpoint-6000/adapter_config.json +132 -0
- checkpoint-6000/adapter_model.safetensors +3 -0
- checkpoint-6000/experiment_cfg/metadata.json +515 -0
- checkpoint-6000/optimizer.pt +3 -0
- checkpoint-6000/rng_state.pth +3 -0
- checkpoint-6000/scheduler.pt +3 -0
- checkpoint-6000/trainer_state.json +0 -0
- checkpoint-7000/README.md +207 -0
- checkpoint-7000/adapter_config.json +132 -0
- checkpoint-7000/adapter_model.safetensors +3 -0
- checkpoint-7000/experiment_cfg/metadata.json +515 -0
- checkpoint-7000/optimizer.pt +3 -0
- checkpoint-7000/rng_state.pth +3 -0
- checkpoint-7000/scheduler.pt +3 -0
- checkpoint-7000/trainer_state.json +0 -0
- checkpoint-8000/README.md +207 -0
- checkpoint-8000/adapter_config.json +132 -0
- checkpoint-8000/adapter_model.safetensors +3 -0
- checkpoint-8000/experiment_cfg/metadata.json +515 -0
- checkpoint-8000/optimizer.pt +3 -0
- checkpoint-8000/rng_state.pth +3 -0
- checkpoint-8000/scheduler.pt +3 -0
- checkpoint-8000/trainer_state.json +0 -0
- checkpoint-9000/README.md +207 -0
- checkpoint-9000/adapter_config.json +132 -0
- checkpoint-9000/adapter_model.safetensors +3 -0
- checkpoint-9000/experiment_cfg/metadata.json +515 -0
- checkpoint-9000/optimizer.pt +3 -0
- checkpoint-9000/rng_state.pth +3 -0
- checkpoint-9000/scheduler.pt +3 -0
- checkpoint-9000/trainer_state.json +0 -0
- experiment_cfg/metadata.json +515 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
base_model: nvidia/GR00T-N1.5-3B
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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| 5 |
+
tags:
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| 6 |
+
- base_model:adapter:nvidia/GR00T-N1.5-3B
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| 7 |
+
- lora
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| 8 |
+
- transformers
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
# Model Card for Model ID
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| 12 |
+
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| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 14 |
+
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| 15 |
+
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| 16 |
+
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| 17 |
+
## Model Details
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| 18 |
+
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| 19 |
+
### Model Description
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| 20 |
+
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| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
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| 23 |
+
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| 24 |
+
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| 25 |
+
- **Developed by:** [More Information Needed]
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| 26 |
+
- **Funded by [optional]:** [More Information Needed]
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| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
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| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
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|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
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#### Preprocessing [optional]
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| 94 |
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|
| 95 |
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[More Information Needed]
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| 96 |
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|
| 97 |
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| 98 |
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#### Training Hyperparameters
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| 99 |
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|
| 100 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
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#### Speeds, Sizes, Times [optional]
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| 103 |
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| 104 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 105 |
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| 106 |
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[More Information Needed]
|
| 107 |
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|
| 108 |
+
## Evaluation
|
| 109 |
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|
| 110 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 111 |
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|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
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| 114 |
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#### Testing Data
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| 115 |
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|
| 116 |
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<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
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|
| 118 |
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[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
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| 124 |
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[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
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|
| 130 |
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[More Information Needed]
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| 131 |
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|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
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[More Information Needed]
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| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
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## Model Examination [optional]
|
| 141 |
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| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
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| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
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| 167 |
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|
| 168 |
+
#### Hardware
|
| 169 |
+
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| 170 |
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[More Information Needed]
|
| 171 |
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|
| 172 |
+
#### Software
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| 173 |
+
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| 174 |
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[More Information Needed]
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| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
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| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
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| 198 |
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## Model Card Authors [optional]
|
| 199 |
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| 200 |
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[More Information Needed]
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| 201 |
+
|
| 202 |
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## Model Card Contact
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| 203 |
+
|
| 204 |
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[More Information Needed]
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| 205 |
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### Framework versions
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| 206 |
+
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| 207 |
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- PEFT 0.17.0
|
adapter_config.json
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| 1 |
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{
|
| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
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"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
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"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
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"target_modules": [
|
| 28 |
+
"14.attn1.to_q",
|
| 29 |
+
"4.ff.net.0.proj",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 125 |
+
],
|
| 126 |
+
"target_parameters": null,
|
| 127 |
+
"task_type": "CAUSAL_LM",
|
| 128 |
+
"trainable_token_indices": null,
|
| 129 |
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"use_dora": false,
|
| 130 |
+
"use_qalora": false,
|
| 131 |
+
"use_rslora": false
|
| 132 |
+
}
|
adapter_model.safetensors
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:4444d14a585281e3611868b68fb5d4d10c46f8fa7052dff8883ae73aaacd8f64
|
| 3 |
+
size 33588672
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checkpoint-10000/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
checkpoint-10000/adapter_config.json
ADDED
|
@@ -0,0 +1,132 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"14.attn1.to_q",
|
| 29 |
+
"4.ff.net.0.proj",
|
| 30 |
+
"model.transformer_blocks.2.ff.net.0.proj",
|
| 31 |
+
"model.transformer_blocks.3.attn1.to_v",
|
| 32 |
+
"9.attn1.to_v",
|
| 33 |
+
"model.transformer_blocks.1.attn1.to_k",
|
| 34 |
+
"12.attn1.to_v",
|
| 35 |
+
"11.ff.net.0.proj",
|
| 36 |
+
"8.attn1.to_q",
|
| 37 |
+
"15.attn1.to_v",
|
| 38 |
+
"13.attn1.to_q",
|
| 39 |
+
"9.ff.net.2",
|
| 40 |
+
"4.attn1.to_q",
|
| 41 |
+
"4.attn1.to_out.0",
|
| 42 |
+
"model.transformer_blocks.1.attn1.to_v",
|
| 43 |
+
"5.ff.net.2",
|
| 44 |
+
"12.attn1.to_out.0",
|
| 45 |
+
"10.attn1.to_q",
|
| 46 |
+
"14.attn1.to_out.0",
|
| 47 |
+
"12.ff.net.0.proj",
|
| 48 |
+
"14.attn1.to_v",
|
| 49 |
+
"8.attn1.to_k",
|
| 50 |
+
"model.transformer_blocks.0.ff.net.2",
|
| 51 |
+
"model.transformer_blocks.3.attn1.to_k",
|
| 52 |
+
"15.attn1.to_k",
|
| 53 |
+
"model.transformer_blocks.1.attn1.to_q",
|
| 54 |
+
"model.transformer_blocks.3.ff.net.2",
|
| 55 |
+
"model.transformer_blocks.2.attn1.to_out.0",
|
| 56 |
+
"7.attn1.to_v",
|
| 57 |
+
"8.ff.net.2",
|
| 58 |
+
"model.transformer_blocks.2.ff.net.2",
|
| 59 |
+
"15.attn1.to_out.0",
|
| 60 |
+
"7.attn1.to_q",
|
| 61 |
+
"10.ff.net.0.proj",
|
| 62 |
+
"model.transformer_blocks.1.ff.net.2",
|
| 63 |
+
"model.transformer_blocks.0.attn1.to_out.0",
|
| 64 |
+
"model.transformer_blocks.0.attn1.to_q",
|
| 65 |
+
"9.attn1.to_q",
|
| 66 |
+
"10.attn1.to_out.0",
|
| 67 |
+
"10.attn1.to_v",
|
| 68 |
+
"11.attn1.to_v",
|
| 69 |
+
"7.ff.net.0.proj",
|
| 70 |
+
"6.ff.net.2",
|
| 71 |
+
"8.attn1.to_out.0",
|
| 72 |
+
"7.ff.net.2",
|
| 73 |
+
"12.attn1.to_k",
|
| 74 |
+
"8.attn1.to_v",
|
| 75 |
+
"model.transformer_blocks.1.attn1.to_out.0",
|
| 76 |
+
"8.ff.net.0.proj",
|
| 77 |
+
"10.attn1.to_k",
|
| 78 |
+
"5.attn1.to_q",
|
| 79 |
+
"5.attn1.to_v",
|
| 80 |
+
"6.attn1.to_q",
|
| 81 |
+
"13.attn1.to_v",
|
| 82 |
+
"4.attn1.to_v",
|
| 83 |
+
"5.attn1.to_k",
|
| 84 |
+
"14.attn1.to_k",
|
| 85 |
+
"model.transformer_blocks.1.ff.net.0.proj",
|
| 86 |
+
"model.transformer_blocks.3.attn1.to_q",
|
| 87 |
+
"model.transformer_blocks.2.attn1.to_q",
|
| 88 |
+
"15.attn1.to_q",
|
| 89 |
+
"5.attn1.to_out.0",
|
| 90 |
+
"5.ff.net.0.proj",
|
| 91 |
+
"6.attn1.to_out.0",
|
| 92 |
+
"9.ff.net.0.proj",
|
| 93 |
+
"9.attn1.to_out.0",
|
| 94 |
+
"6.attn1.to_k",
|
| 95 |
+
"15.ff.net.0.proj",
|
| 96 |
+
"model.transformer_blocks.2.attn1.to_v",
|
| 97 |
+
"9.attn1.to_k",
|
| 98 |
+
"6.ff.net.0.proj",
|
| 99 |
+
"11.attn1.to_k",
|
| 100 |
+
"4.ff.net.2",
|
| 101 |
+
"11.ff.net.2",
|
| 102 |
+
"linear",
|
| 103 |
+
"model.transformer_blocks.3.attn1.to_out.0",
|
| 104 |
+
"12.ff.net.2",
|
| 105 |
+
"13.ff.net.2",
|
| 106 |
+
"6.attn1.to_v",
|
| 107 |
+
"14.ff.net.0.proj",
|
| 108 |
+
"model.transformer_blocks.3.ff.net.0.proj",
|
| 109 |
+
"14.ff.net.2",
|
| 110 |
+
"13.ff.net.0.proj",
|
| 111 |
+
"13.attn1.to_out.0",
|
| 112 |
+
"7.attn1.to_out.0",
|
| 113 |
+
"11.attn1.to_q",
|
| 114 |
+
"11.attn1.to_out.0",
|
| 115 |
+
"12.attn1.to_q",
|
| 116 |
+
"model.transformer_blocks.0.attn1.to_k",
|
| 117 |
+
"15.ff.net.2",
|
| 118 |
+
"model.transformer_blocks.0.attn1.to_v",
|
| 119 |
+
"4.attn1.to_k",
|
| 120 |
+
"13.attn1.to_k",
|
| 121 |
+
"model.transformer_blocks.2.attn1.to_k",
|
| 122 |
+
"model.transformer_blocks.0.ff.net.0.proj",
|
| 123 |
+
"10.ff.net.2",
|
| 124 |
+
"7.attn1.to_k"
|
| 125 |
+
],
|
| 126 |
+
"target_parameters": null,
|
| 127 |
+
"task_type": "CAUSAL_LM",
|
| 128 |
+
"trainable_token_indices": null,
|
| 129 |
+
"use_dora": false,
|
| 130 |
+
"use_qalora": false,
|
| 131 |
+
"use_rslora": false
|
| 132 |
+
}
|
checkpoint-10000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4444d14a585281e3611868b68fb5d4d10c46f8fa7052dff8883ae73aaacd8f64
|
| 3 |
+
size 33588672
|
checkpoint-10000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,515 @@
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checkpoint-6000/README.md
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: /home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
checkpoint-6000/adapter_config.json
ADDED
|
@@ -0,0 +1,132 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"14.attn1.to_q",
|
| 29 |
+
"4.ff.net.0.proj",
|
| 30 |
+
"model.transformer_blocks.2.ff.net.0.proj",
|
| 31 |
+
"model.transformer_blocks.3.attn1.to_v",
|
| 32 |
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"9.attn1.to_v",
|
| 33 |
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"model.transformer_blocks.1.attn1.to_k",
|
| 34 |
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"12.attn1.to_v",
|
| 35 |
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"11.ff.net.0.proj",
|
| 36 |
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|
| 37 |
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|
| 38 |
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"13.attn1.to_q",
|
| 39 |
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"9.ff.net.2",
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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"15.attn1.to_k",
|
| 53 |
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"model.transformer_blocks.1.attn1.to_q",
|
| 54 |
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"model.transformer_blocks.3.ff.net.2",
|
| 55 |
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"model.transformer_blocks.2.attn1.to_out.0",
|
| 56 |
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"7.attn1.to_v",
|
| 57 |
+
"8.ff.net.2",
|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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"model.transformer_blocks.1.ff.net.2",
|
| 63 |
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"model.transformer_blocks.0.attn1.to_out.0",
|
| 64 |
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"model.transformer_blocks.0.attn1.to_q",
|
| 65 |
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"9.attn1.to_q",
|
| 66 |
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"10.attn1.to_out.0",
|
| 67 |
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"10.attn1.to_v",
|
| 68 |
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"11.attn1.to_v",
|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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"6.attn1.to_q",
|
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|
| 82 |
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|
| 83 |
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"5.attn1.to_k",
|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 91 |
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|
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|
| 93 |
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|
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|
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
+
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|
| 102 |
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|
| 103 |
+
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|
| 104 |
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|
| 105 |
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"13.ff.net.2",
|
| 106 |
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|
| 107 |
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"14.ff.net.0.proj",
|
| 108 |
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"model.transformer_blocks.3.ff.net.0.proj",
|
| 109 |
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"14.ff.net.2",
|
| 110 |
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|
| 111 |
+
"13.attn1.to_out.0",
|
| 112 |
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"7.attn1.to_out.0",
|
| 113 |
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"11.attn1.to_q",
|
| 114 |
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"11.attn1.to_out.0",
|
| 115 |
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"12.attn1.to_q",
|
| 116 |
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|
| 117 |
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"15.ff.net.2",
|
| 118 |
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"model.transformer_blocks.0.attn1.to_v",
|
| 119 |
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"4.attn1.to_k",
|
| 120 |
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"13.attn1.to_k",
|
| 121 |
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|
| 122 |
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|
| 123 |
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"10.ff.net.2",
|
| 124 |
+
"7.attn1.to_k"
|
| 125 |
+
],
|
| 126 |
+
"target_parameters": null,
|
| 127 |
+
"task_type": "CAUSAL_LM",
|
| 128 |
+
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|
| 129 |
+
"use_dora": false,
|
| 130 |
+
"use_qalora": false,
|
| 131 |
+
"use_rslora": false
|
| 132 |
+
}
|
checkpoint-6000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:71242fd08412d878829624baf352117ee87f1cd7278e9fecb795a5ebd4e1780c
|
| 3 |
+
size 33588672
|
checkpoint-6000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,515 @@
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checkpoint-7000/README.md
ADDED
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: /home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
checkpoint-7000/adapter_config.json
ADDED
|
@@ -0,0 +1,132 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
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"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
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"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
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"r": 16,
|
| 25 |
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"rank_pattern": {},
|
| 26 |
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|
| 27 |
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"target_modules": [
|
| 28 |
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|
| 29 |
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|
| 30 |
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"model.transformer_blocks.2.ff.net.0.proj",
|
| 31 |
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|
| 32 |
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"9.attn1.to_v",
|
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"model.transformer_blocks.1.attn1.to_k",
|
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"12.attn1.to_v",
|
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|
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|
| 37 |
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|
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|
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|
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|
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|
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|
| 51 |
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|
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|
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|
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|
| 55 |
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|
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
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|
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|
| 64 |
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|
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|
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|
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|
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|
| 72 |
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|
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"6.attn1.to_q",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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| 110 |
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|
| 111 |
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|
| 113 |
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|
| 114 |
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|
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|
| 116 |
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|
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|
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 130 |
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|
| 131 |
+
"use_rslora": false
|
| 132 |
+
}
|
checkpoint-7000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:fc4e95a45c286bd65b8cf37246321b8f95bf9ad423b89d29f2eb83ba8c78a076
|
| 3 |
+
size 33588672
|
checkpoint-7000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,515 @@
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| 1 |
+
---
|
| 2 |
+
base_model: /home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
checkpoint-8000/adapter_config.json
ADDED
|
@@ -0,0 +1,132 @@
|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"14.attn1.to_q",
|
| 29 |
+
"4.ff.net.0.proj",
|
| 30 |
+
"model.transformer_blocks.2.ff.net.0.proj",
|
| 31 |
+
"model.transformer_blocks.3.attn1.to_v",
|
| 32 |
+
"9.attn1.to_v",
|
| 33 |
+
"model.transformer_blocks.1.attn1.to_k",
|
| 34 |
+
"12.attn1.to_v",
|
| 35 |
+
"11.ff.net.0.proj",
|
| 36 |
+
"8.attn1.to_q",
|
| 37 |
+
"15.attn1.to_v",
|
| 38 |
+
"13.attn1.to_q",
|
| 39 |
+
"9.ff.net.2",
|
| 40 |
+
"4.attn1.to_q",
|
| 41 |
+
"4.attn1.to_out.0",
|
| 42 |
+
"model.transformer_blocks.1.attn1.to_v",
|
| 43 |
+
"5.ff.net.2",
|
| 44 |
+
"12.attn1.to_out.0",
|
| 45 |
+
"10.attn1.to_q",
|
| 46 |
+
"14.attn1.to_out.0",
|
| 47 |
+
"12.ff.net.0.proj",
|
| 48 |
+
"14.attn1.to_v",
|
| 49 |
+
"8.attn1.to_k",
|
| 50 |
+
"model.transformer_blocks.0.ff.net.2",
|
| 51 |
+
"model.transformer_blocks.3.attn1.to_k",
|
| 52 |
+
"15.attn1.to_k",
|
| 53 |
+
"model.transformer_blocks.1.attn1.to_q",
|
| 54 |
+
"model.transformer_blocks.3.ff.net.2",
|
| 55 |
+
"model.transformer_blocks.2.attn1.to_out.0",
|
| 56 |
+
"7.attn1.to_v",
|
| 57 |
+
"8.ff.net.2",
|
| 58 |
+
"model.transformer_blocks.2.ff.net.2",
|
| 59 |
+
"15.attn1.to_out.0",
|
| 60 |
+
"7.attn1.to_q",
|
| 61 |
+
"10.ff.net.0.proj",
|
| 62 |
+
"model.transformer_blocks.1.ff.net.2",
|
| 63 |
+
"model.transformer_blocks.0.attn1.to_out.0",
|
| 64 |
+
"model.transformer_blocks.0.attn1.to_q",
|
| 65 |
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"9.attn1.to_q",
|
| 66 |
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"10.attn1.to_out.0",
|
| 67 |
+
"10.attn1.to_v",
|
| 68 |
+
"11.attn1.to_v",
|
| 69 |
+
"7.ff.net.0.proj",
|
| 70 |
+
"6.ff.net.2",
|
| 71 |
+
"8.attn1.to_out.0",
|
| 72 |
+
"7.ff.net.2",
|
| 73 |
+
"12.attn1.to_k",
|
| 74 |
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"8.attn1.to_v",
|
| 75 |
+
"model.transformer_blocks.1.attn1.to_out.0",
|
| 76 |
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"8.ff.net.0.proj",
|
| 77 |
+
"10.attn1.to_k",
|
| 78 |
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"5.attn1.to_q",
|
| 79 |
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"5.attn1.to_v",
|
| 80 |
+
"6.attn1.to_q",
|
| 81 |
+
"13.attn1.to_v",
|
| 82 |
+
"4.attn1.to_v",
|
| 83 |
+
"5.attn1.to_k",
|
| 84 |
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"14.attn1.to_k",
|
| 85 |
+
"model.transformer_blocks.1.ff.net.0.proj",
|
| 86 |
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"model.transformer_blocks.3.attn1.to_q",
|
| 87 |
+
"model.transformer_blocks.2.attn1.to_q",
|
| 88 |
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"15.attn1.to_q",
|
| 89 |
+
"5.attn1.to_out.0",
|
| 90 |
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"5.ff.net.0.proj",
|
| 91 |
+
"6.attn1.to_out.0",
|
| 92 |
+
"9.ff.net.0.proj",
|
| 93 |
+
"9.attn1.to_out.0",
|
| 94 |
+
"6.attn1.to_k",
|
| 95 |
+
"15.ff.net.0.proj",
|
| 96 |
+
"model.transformer_blocks.2.attn1.to_v",
|
| 97 |
+
"9.attn1.to_k",
|
| 98 |
+
"6.ff.net.0.proj",
|
| 99 |
+
"11.attn1.to_k",
|
| 100 |
+
"4.ff.net.2",
|
| 101 |
+
"11.ff.net.2",
|
| 102 |
+
"linear",
|
| 103 |
+
"model.transformer_blocks.3.attn1.to_out.0",
|
| 104 |
+
"12.ff.net.2",
|
| 105 |
+
"13.ff.net.2",
|
| 106 |
+
"6.attn1.to_v",
|
| 107 |
+
"14.ff.net.0.proj",
|
| 108 |
+
"model.transformer_blocks.3.ff.net.0.proj",
|
| 109 |
+
"14.ff.net.2",
|
| 110 |
+
"13.ff.net.0.proj",
|
| 111 |
+
"13.attn1.to_out.0",
|
| 112 |
+
"7.attn1.to_out.0",
|
| 113 |
+
"11.attn1.to_q",
|
| 114 |
+
"11.attn1.to_out.0",
|
| 115 |
+
"12.attn1.to_q",
|
| 116 |
+
"model.transformer_blocks.0.attn1.to_k",
|
| 117 |
+
"15.ff.net.2",
|
| 118 |
+
"model.transformer_blocks.0.attn1.to_v",
|
| 119 |
+
"4.attn1.to_k",
|
| 120 |
+
"13.attn1.to_k",
|
| 121 |
+
"model.transformer_blocks.2.attn1.to_k",
|
| 122 |
+
"model.transformer_blocks.0.ff.net.0.proj",
|
| 123 |
+
"10.ff.net.2",
|
| 124 |
+
"7.attn1.to_k"
|
| 125 |
+
],
|
| 126 |
+
"target_parameters": null,
|
| 127 |
+
"task_type": "CAUSAL_LM",
|
| 128 |
+
"trainable_token_indices": null,
|
| 129 |
+
"use_dora": false,
|
| 130 |
+
"use_qalora": false,
|
| 131 |
+
"use_rslora": false
|
| 132 |
+
}
|
checkpoint-8000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fba5ca1151da298189a4885d3b1bf8468e1c870e4958105b748e4e1b5323fc69
|
| 3 |
+
size 33588672
|
checkpoint-8000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,515 @@
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|
| 1 |
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{
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| 2 |
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checkpoint-8000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1465
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checkpoint-8000/trainer_state.json
ADDED
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The diff for this file is too large to render.
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|
checkpoint-9000/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
checkpoint-9000/adapter_config.json
ADDED
|
@@ -0,0 +1,132 @@
|
|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/home/minh/Workspace/projects/IsaacLabEvalTasks/checkpoints/grootn15",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
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"eva_config": null,
|
| 8 |
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"exclude_modules": null,
|
| 9 |
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"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
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"target_modules": [
|
| 28 |
+
"14.attn1.to_q",
|
| 29 |
+
"4.ff.net.0.proj",
|
| 30 |
+
"model.transformer_blocks.2.ff.net.0.proj",
|
| 31 |
+
"model.transformer_blocks.3.attn1.to_v",
|
| 32 |
+
"9.attn1.to_v",
|
| 33 |
+
"model.transformer_blocks.1.attn1.to_k",
|
| 34 |
+
"12.attn1.to_v",
|
| 35 |
+
"11.ff.net.0.proj",
|
| 36 |
+
"8.attn1.to_q",
|
| 37 |
+
"15.attn1.to_v",
|
| 38 |
+
"13.attn1.to_q",
|
| 39 |
+
"9.ff.net.2",
|
| 40 |
+
"4.attn1.to_q",
|
| 41 |
+
"4.attn1.to_out.0",
|
| 42 |
+
"model.transformer_blocks.1.attn1.to_v",
|
| 43 |
+
"5.ff.net.2",
|
| 44 |
+
"12.attn1.to_out.0",
|
| 45 |
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"10.attn1.to_q",
|
| 46 |
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"14.attn1.to_out.0",
|
| 47 |
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| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
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|
| 58 |
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|
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|
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|
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|
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|
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|
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|
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|
| 115 |
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|
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|
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|
| 124 |
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|
| 125 |
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|
| 126 |
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"target_parameters": null,
|
| 127 |
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"task_type": "CAUSAL_LM",
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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}
|
checkpoint-9000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 33588672
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checkpoint-9000/experiment_cfg/metadata.json
ADDED
|
@@ -0,0 +1,515 @@
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| 1 |
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{
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| 2 |
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|
checkpoint-9000/optimizer.pt
ADDED
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checkpoint-9000/rng_state.pth
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experiment_cfg/metadata.json
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7
|
| 484 |
+
],
|
| 485 |
+
"continuous": true
|
| 486 |
+
},
|
| 487 |
+
"right_arm": {
|
| 488 |
+
"absolute": true,
|
| 489 |
+
"rotation_type": null,
|
| 490 |
+
"shape": [
|
| 491 |
+
7
|
| 492 |
+
],
|
| 493 |
+
"continuous": true
|
| 494 |
+
},
|
| 495 |
+
"left_hand": {
|
| 496 |
+
"absolute": true,
|
| 497 |
+
"rotation_type": null,
|
| 498 |
+
"shape": [
|
| 499 |
+
6
|
| 500 |
+
],
|
| 501 |
+
"continuous": true
|
| 502 |
+
},
|
| 503 |
+
"right_hand": {
|
| 504 |
+
"absolute": true,
|
| 505 |
+
"rotation_type": null,
|
| 506 |
+
"shape": [
|
| 507 |
+
6
|
| 508 |
+
],
|
| 509 |
+
"continuous": true
|
| 510 |
+
}
|
| 511 |
+
}
|
| 512 |
+
},
|
| 513 |
+
"embodiment_tag": "new_embodiment"
|
| 514 |
+
}
|
| 515 |
+
}
|
trainer_state.json
ADDED
|
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|
|
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:afbc81d9819ffeb77f0c2d09e17920fe52dc6c88608c5cf6bf9239f7d1a62af8
|
| 3 |
+
size 5841
|