Model save
Browse files- README.md +67 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1346 -0
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: deepseek-ai/Deepseek-R1-Distill-Qwen-32B
|
| 5 |
+
tags:
|
| 6 |
+
- trl
|
| 7 |
+
- sft
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: sft-32b-continue
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# sft-32b-continue
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [deepseek-ai/Deepseek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/Deepseek-R1-Distill-Qwen-32B) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.4810
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 2e-05
|
| 41 |
+
- train_batch_size: 4
|
| 42 |
+
- eval_batch_size: 1
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- num_devices: 8
|
| 46 |
+
- total_train_batch_size: 32
|
| 47 |
+
- total_eval_batch_size: 8
|
| 48 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 49 |
+
- lr_scheduler_type: cosine
|
| 50 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 51 |
+
- num_epochs: 2
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 57 |
+
| 0.4298 | 1.0 | 92 | 0.4860 |
|
| 58 |
+
| 0.3989 | 2.0 | 184 | 0.4810 |
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
### Framework versions
|
| 62 |
+
|
| 63 |
+
- PEFT 0.13.2
|
| 64 |
+
- Transformers 4.47.0.dev0
|
| 65 |
+
- Pytorch 2.4.0+cu121
|
| 66 |
+
- Datasets 3.1.0
|
| 67 |
+
- Tokenizers 0.20.3
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 2780892130967552.0,
|
| 4 |
+
"train_loss": 0.43346462998053303,
|
| 5 |
+
"train_runtime": 8632.6044,
|
| 6 |
+
"train_samples": 2913,
|
| 7 |
+
"train_samples_per_second": 0.675,
|
| 8 |
+
"train_steps_per_second": 0.021
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 2780892130967552.0,
|
| 4 |
+
"train_loss": 0.43346462998053303,
|
| 5 |
+
"train_runtime": 8632.6044,
|
| 6 |
+
"train_samples": 2913,
|
| 7 |
+
"train_samples_per_second": 0.675,
|
| 8 |
+
"train_steps_per_second": 0.021
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 184,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.010869565217391304,
|
| 13 |
+
"grad_norm": 0.03240465296922696,
|
| 14 |
+
"learning_rate": 1.0526315789473685e-06,
|
| 15 |
+
"loss": 0.5318,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.021739130434782608,
|
| 20 |
+
"grad_norm": 0.031148191782486748,
|
| 21 |
+
"learning_rate": 2.105263157894737e-06,
|
| 22 |
+
"loss": 0.505,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.03260869565217391,
|
| 27 |
+
"grad_norm": 0.03287048185671828,
|
| 28 |
+
"learning_rate": 3.157894736842105e-06,
|
| 29 |
+
"loss": 0.517,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.043478260869565216,
|
| 34 |
+
"grad_norm": 0.03645975365762924,
|
| 35 |
+
"learning_rate": 4.210526315789474e-06,
|
| 36 |
+
"loss": 0.5547,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.05434782608695652,
|
| 41 |
+
"grad_norm": 0.03208238827298806,
|
| 42 |
+
"learning_rate": 5.263157894736842e-06,
|
| 43 |
+
"loss": 0.5284,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.06521739130434782,
|
| 48 |
+
"grad_norm": 0.038367637681218175,
|
| 49 |
+
"learning_rate": 6.31578947368421e-06,
|
| 50 |
+
"loss": 0.5838,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.07608695652173914,
|
| 55 |
+
"grad_norm": 0.03450300334168957,
|
| 56 |
+
"learning_rate": 7.368421052631579e-06,
|
| 57 |
+
"loss": 0.5382,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.08695652173913043,
|
| 62 |
+
"grad_norm": 0.03388554313817737,
|
| 63 |
+
"learning_rate": 8.421052631578948e-06,
|
| 64 |
+
"loss": 0.524,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.09782608695652174,
|
| 69 |
+
"grad_norm": 0.03544242363659419,
|
| 70 |
+
"learning_rate": 9.473684210526315e-06,
|
| 71 |
+
"loss": 0.5501,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.10869565217391304,
|
| 76 |
+
"grad_norm": 0.03352231239492054,
|
| 77 |
+
"learning_rate": 1.0526315789473684e-05,
|
| 78 |
+
"loss": 0.5069,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.11956521739130435,
|
| 83 |
+
"grad_norm": 0.03572670440459065,
|
| 84 |
+
"learning_rate": 1.1578947368421053e-05,
|
| 85 |
+
"loss": 0.5223,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.13043478260869565,
|
| 90 |
+
"grad_norm": 0.03663832921257728,
|
| 91 |
+
"learning_rate": 1.263157894736842e-05,
|
| 92 |
+
"loss": 0.5509,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.14130434782608695,
|
| 97 |
+
"grad_norm": 0.03809520900571492,
|
| 98 |
+
"learning_rate": 1.3684210526315791e-05,
|
| 99 |
+
"loss": 0.5401,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.15217391304347827,
|
| 104 |
+
"grad_norm": 0.03789719542276196,
|
| 105 |
+
"learning_rate": 1.4736842105263159e-05,
|
| 106 |
+
"loss": 0.5408,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.16304347826086957,
|
| 111 |
+
"grad_norm": 0.03420580590941963,
|
| 112 |
+
"learning_rate": 1.578947368421053e-05,
|
| 113 |
+
"loss": 0.4729,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.17391304347826086,
|
| 118 |
+
"grad_norm": 0.03602266807911341,
|
| 119 |
+
"learning_rate": 1.6842105263157896e-05,
|
| 120 |
+
"loss": 0.4934,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.18478260869565216,
|
| 125 |
+
"grad_norm": 0.04138637589841341,
|
| 126 |
+
"learning_rate": 1.7894736842105264e-05,
|
| 127 |
+
"loss": 0.5376,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.1956521739130435,
|
| 132 |
+
"grad_norm": 0.04435583894932485,
|
| 133 |
+
"learning_rate": 1.894736842105263e-05,
|
| 134 |
+
"loss": 0.5642,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.20652173913043478,
|
| 139 |
+
"grad_norm": 0.04141900808302216,
|
| 140 |
+
"learning_rate": 2e-05,
|
| 141 |
+
"loss": 0.5591,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.21739130434782608,
|
| 146 |
+
"grad_norm": 0.03675591300747317,
|
| 147 |
+
"learning_rate": 1.999818745523526e-05,
|
| 148 |
+
"loss": 0.5022,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.22826086956521738,
|
| 153 |
+
"grad_norm": 0.035936674391353805,
|
| 154 |
+
"learning_rate": 1.999275047800474e-05,
|
| 155 |
+
"loss": 0.5342,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.2391304347826087,
|
| 160 |
+
"grad_norm": 0.03766128882621122,
|
| 161 |
+
"learning_rate": 1.9983691039261358e-05,
|
| 162 |
+
"loss": 0.5437,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.25,
|
| 167 |
+
"grad_norm": 0.03747365385813838,
|
| 168 |
+
"learning_rate": 1.9971012423132776e-05,
|
| 169 |
+
"loss": 0.5113,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.2608695652173913,
|
| 174 |
+
"grad_norm": 0.037562789979165546,
|
| 175 |
+
"learning_rate": 1.9954719225730847e-05,
|
| 176 |
+
"loss": 0.5219,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.2717391304347826,
|
| 181 |
+
"grad_norm": 0.033732964863589725,
|
| 182 |
+
"learning_rate": 1.99348173534855e-05,
|
| 183 |
+
"loss": 0.4899,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.2826086956521739,
|
| 188 |
+
"grad_norm": 0.032706454390573285,
|
| 189 |
+
"learning_rate": 1.9911314021003614e-05,
|
| 190 |
+
"loss": 0.46,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.29347826086956524,
|
| 195 |
+
"grad_norm": 0.03299013215961956,
|
| 196 |
+
"learning_rate": 1.9884217748453625e-05,
|
| 197 |
+
"loss": 0.4464,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.30434782608695654,
|
| 202 |
+
"grad_norm": 0.036322686035091326,
|
| 203 |
+
"learning_rate": 1.9853538358476933e-05,
|
| 204 |
+
"loss": 0.525,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.31521739130434784,
|
| 209 |
+
"grad_norm": 0.035349035280986665,
|
| 210 |
+
"learning_rate": 1.9819286972627066e-05,
|
| 211 |
+
"loss": 0.481,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.32608695652173914,
|
| 216 |
+
"grad_norm": 0.03304667685973592,
|
| 217 |
+
"learning_rate": 1.9781476007338058e-05,
|
| 218 |
+
"loss": 0.486,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.33695652173913043,
|
| 223 |
+
"grad_norm": 0.03594690118986878,
|
| 224 |
+
"learning_rate": 1.9740119169423337e-05,
|
| 225 |
+
"loss": 0.4459,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.34782608695652173,
|
| 230 |
+
"grad_norm": 0.03722435746668587,
|
| 231 |
+
"learning_rate": 1.9695231451106914e-05,
|
| 232 |
+
"loss": 0.4884,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.358695652173913,
|
| 237 |
+
"grad_norm": 0.03234546772265382,
|
| 238 |
+
"learning_rate": 1.964682912458856e-05,
|
| 239 |
+
"loss": 0.4538,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.3695652173913043,
|
| 244 |
+
"grad_norm": 0.03332715856138033,
|
| 245 |
+
"learning_rate": 1.9594929736144978e-05,
|
| 246 |
+
"loss": 0.4684,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.3804347826086957,
|
| 251 |
+
"grad_norm": 0.03192258021162577,
|
| 252 |
+
"learning_rate": 1.9539552099769128e-05,
|
| 253 |
+
"loss": 0.5074,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.391304347826087,
|
| 258 |
+
"grad_norm": 0.028905879450475694,
|
| 259 |
+
"learning_rate": 1.9480716290349998e-05,
|
| 260 |
+
"loss": 0.4329,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.40217391304347827,
|
| 265 |
+
"grad_norm": 0.026272771750420486,
|
| 266 |
+
"learning_rate": 1.941844363639525e-05,
|
| 267 |
+
"loss": 0.4104,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.41304347826086957,
|
| 272 |
+
"grad_norm": 0.029512600659781462,
|
| 273 |
+
"learning_rate": 1.9352756712299467e-05,
|
| 274 |
+
"loss": 0.4352,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.42391304347826086,
|
| 279 |
+
"grad_norm": 0.03106074409081994,
|
| 280 |
+
"learning_rate": 1.9283679330160726e-05,
|
| 281 |
+
"loss": 0.4617,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.43478260869565216,
|
| 286 |
+
"grad_norm": 0.02877012176170005,
|
| 287 |
+
"learning_rate": 1.92112365311485e-05,
|
| 288 |
+
"loss": 0.4492,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.44565217391304346,
|
| 293 |
+
"grad_norm": 0.028504695790476927,
|
| 294 |
+
"learning_rate": 1.913545457642601e-05,
|
| 295 |
+
"loss": 0.4388,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.45652173913043476,
|
| 300 |
+
"grad_norm": 0.02776562257630969,
|
| 301 |
+
"learning_rate": 1.905636093763031e-05,
|
| 302 |
+
"loss": 0.457,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.4673913043478261,
|
| 307 |
+
"grad_norm": 0.02279898042963453,
|
| 308 |
+
"learning_rate": 1.8973984286913584e-05,
|
| 309 |
+
"loss": 0.4228,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.4782608695652174,
|
| 314 |
+
"grad_norm": 0.022273693107528456,
|
| 315 |
+
"learning_rate": 1.8888354486549238e-05,
|
| 316 |
+
"loss": 0.4141,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.4891304347826087,
|
| 321 |
+
"grad_norm": 0.022833837988057187,
|
| 322 |
+
"learning_rate": 1.8799502578106533e-05,
|
| 323 |
+
"loss": 0.4252,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.5,
|
| 328 |
+
"grad_norm": 0.021546758234096523,
|
| 329 |
+
"learning_rate": 1.8707460771197773e-05,
|
| 330 |
+
"loss": 0.4417,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.5108695652173914,
|
| 335 |
+
"grad_norm": 0.019884209926995258,
|
| 336 |
+
"learning_rate": 1.861226243180201e-05,
|
| 337 |
+
"loss": 0.4249,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.5217391304347826,
|
| 342 |
+
"grad_norm": 0.02067326340118169,
|
| 343 |
+
"learning_rate": 1.8513942070169572e-05,
|
| 344 |
+
"loss": 0.4498,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.532608695652174,
|
| 349 |
+
"grad_norm": 0.018558394593515687,
|
| 350 |
+
"learning_rate": 1.8412535328311813e-05,
|
| 351 |
+
"loss": 0.4188,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.5434782608695652,
|
| 356 |
+
"grad_norm": 0.019420981988919603,
|
| 357 |
+
"learning_rate": 1.8308078967080547e-05,
|
| 358 |
+
"loss": 0.425,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.5543478260869565,
|
| 363 |
+
"grad_norm": 0.01678791068237689,
|
| 364 |
+
"learning_rate": 1.8200610852841913e-05,
|
| 365 |
+
"loss": 0.3955,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.5652173913043478,
|
| 370 |
+
"grad_norm": 0.018788790486373518,
|
| 371 |
+
"learning_rate": 1.8090169943749477e-05,
|
| 372 |
+
"loss": 0.4273,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.5760869565217391,
|
| 377 |
+
"grad_norm": 0.01812533816051695,
|
| 378 |
+
"learning_rate": 1.7976796275621556e-05,
|
| 379 |
+
"loss": 0.3664,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.5869565217391305,
|
| 384 |
+
"grad_norm": 0.017190627828475347,
|
| 385 |
+
"learning_rate": 1.7860530947427878e-05,
|
| 386 |
+
"loss": 0.4481,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.5978260869565217,
|
| 391 |
+
"grad_norm": 0.019689749698733695,
|
| 392 |
+
"learning_rate": 1.7741416106390828e-05,
|
| 393 |
+
"loss": 0.4529,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.6086956521739131,
|
| 398 |
+
"grad_norm": 0.017252168109986435,
|
| 399 |
+
"learning_rate": 1.761949493270671e-05,
|
| 400 |
+
"loss": 0.4251,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.6195652173913043,
|
| 405 |
+
"grad_norm": 0.017554978035306083,
|
| 406 |
+
"learning_rate": 1.7494811623892543e-05,
|
| 407 |
+
"loss": 0.4348,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.6304347826086957,
|
| 412 |
+
"grad_norm": 0.01728596934943526,
|
| 413 |
+
"learning_rate": 1.736741137876405e-05,
|
| 414 |
+
"loss": 0.4298,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.6413043478260869,
|
| 419 |
+
"grad_norm": 0.016841718915483313,
|
| 420 |
+
"learning_rate": 1.72373403810507e-05,
|
| 421 |
+
"loss": 0.424,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.6521739130434783,
|
| 426 |
+
"grad_norm": 0.017988846143621267,
|
| 427 |
+
"learning_rate": 1.710464578265369e-05,
|
| 428 |
+
"loss": 0.4192,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.6630434782608695,
|
| 433 |
+
"grad_norm": 0.016118964656136582,
|
| 434 |
+
"learning_rate": 1.696937568655294e-05,
|
| 435 |
+
"loss": 0.4388,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.6739130434782609,
|
| 440 |
+
"grad_norm": 0.016980548999802704,
|
| 441 |
+
"learning_rate": 1.6831579129369347e-05,
|
| 442 |
+
"loss": 0.4337,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.6847826086956522,
|
| 447 |
+
"grad_norm": 0.016896592627422335,
|
| 448 |
+
"learning_rate": 1.6691306063588583e-05,
|
| 449 |
+
"loss": 0.4004,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.6956521739130435,
|
| 454 |
+
"grad_norm": 0.015889660322036148,
|
| 455 |
+
"learning_rate": 1.6548607339452853e-05,
|
| 456 |
+
"loss": 0.4393,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.7065217391304348,
|
| 461 |
+
"grad_norm": 0.016428852385924283,
|
| 462 |
+
"learning_rate": 1.6403534686527223e-05,
|
| 463 |
+
"loss": 0.4239,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.717391304347826,
|
| 468 |
+
"grad_norm": 0.01539489673351542,
|
| 469 |
+
"learning_rate": 1.6256140694947217e-05,
|
| 470 |
+
"loss": 0.3979,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.7282608695652174,
|
| 475 |
+
"grad_norm": 0.017016571801118784,
|
| 476 |
+
"learning_rate": 1.6106478796354382e-05,
|
| 477 |
+
"loss": 0.4531,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.7391304347826086,
|
| 482 |
+
"grad_norm": 0.018614609000821066,
|
| 483 |
+
"learning_rate": 1.595460324452688e-05,
|
| 484 |
+
"loss": 0.3969,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.75,
|
| 489 |
+
"grad_norm": 0.01603990010550668,
|
| 490 |
+
"learning_rate": 1.5800569095711983e-05,
|
| 491 |
+
"loss": 0.4444,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.7608695652173914,
|
| 496 |
+
"grad_norm": 0.016345231925260058,
|
| 497 |
+
"learning_rate": 1.5644432188667695e-05,
|
| 498 |
+
"loss": 0.43,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.7717391304347826,
|
| 503 |
+
"grad_norm": 0.014545507199229903,
|
| 504 |
+
"learning_rate": 1.5486249124420702e-05,
|
| 505 |
+
"loss": 0.4395,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.782608695652174,
|
| 510 |
+
"grad_norm": 0.016159427204217675,
|
| 511 |
+
"learning_rate": 1.5326077245747998e-05,
|
| 512 |
+
"loss": 0.4324,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.7934782608695652,
|
| 517 |
+
"grad_norm": 0.01577781927643107,
|
| 518 |
+
"learning_rate": 1.5163974616389621e-05,
|
| 519 |
+
"loss": 0.3783,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.8043478260869565,
|
| 524 |
+
"grad_norm": 0.020543349930487027,
|
| 525 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 526 |
+
"loss": 0.4517,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.8152173913043478,
|
| 531 |
+
"grad_norm": 0.0162387560400049,
|
| 532 |
+
"learning_rate": 1.4834212838845639e-05,
|
| 533 |
+
"loss": 0.4323,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.8260869565217391,
|
| 538 |
+
"grad_norm": 0.017194073308575693,
|
| 539 |
+
"learning_rate": 1.4666673232256738e-05,
|
| 540 |
+
"loss": 0.4531,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.8369565217391305,
|
| 545 |
+
"grad_norm": 0.014830688698626977,
|
| 546 |
+
"learning_rate": 1.449744191484066e-05,
|
| 547 |
+
"loss": 0.4044,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.8478260869565217,
|
| 552 |
+
"grad_norm": 0.017667656527989815,
|
| 553 |
+
"learning_rate": 1.4326580234465084e-05,
|
| 554 |
+
"loss": 0.4084,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.8586956521739131,
|
| 559 |
+
"grad_norm": 0.01665626106397431,
|
| 560 |
+
"learning_rate": 1.4154150130018867e-05,
|
| 561 |
+
"loss": 0.3811,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.8695652173913043,
|
| 566 |
+
"grad_norm": 0.015487133239067268,
|
| 567 |
+
"learning_rate": 1.3980214108958626e-05,
|
| 568 |
+
"loss": 0.3792,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.8804347826086957,
|
| 573 |
+
"grad_norm": 0.015980794746876442,
|
| 574 |
+
"learning_rate": 1.380483522464923e-05,
|
| 575 |
+
"loss": 0.3567,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.8913043478260869,
|
| 580 |
+
"grad_norm": 0.01742924875832292,
|
| 581 |
+
"learning_rate": 1.362807705350641e-05,
|
| 582 |
+
"loss": 0.4108,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.9021739130434783,
|
| 587 |
+
"grad_norm": 0.01621883533665314,
|
| 588 |
+
"learning_rate": 1.3450003671949707e-05,
|
| 589 |
+
"loss": 0.3885,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.9130434782608695,
|
| 594 |
+
"grad_norm": 0.01816609517986378,
|
| 595 |
+
"learning_rate": 1.3270679633174219e-05,
|
| 596 |
+
"loss": 0.4195,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.9239130434782609,
|
| 601 |
+
"grad_norm": 0.01700022402834444,
|
| 602 |
+
"learning_rate": 1.3090169943749475e-05,
|
| 603 |
+
"loss": 0.4008,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.9347826086956522,
|
| 608 |
+
"grad_norm": 0.015423948003415178,
|
| 609 |
+
"learning_rate": 1.2908540040053992e-05,
|
| 610 |
+
"loss": 0.4284,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.9456521739130435,
|
| 615 |
+
"grad_norm": 0.016648244343970338,
|
| 616 |
+
"learning_rate": 1.2725855764553981e-05,
|
| 617 |
+
"loss": 0.4353,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.9565217391304348,
|
| 622 |
+
"grad_norm": 0.018695896408094728,
|
| 623 |
+
"learning_rate": 1.2542183341934873e-05,
|
| 624 |
+
"loss": 0.4454,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.967391304347826,
|
| 629 |
+
"grad_norm": 0.014985563910038587,
|
| 630 |
+
"learning_rate": 1.2357589355094275e-05,
|
| 631 |
+
"loss": 0.4254,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.9782608695652174,
|
| 636 |
+
"grad_norm": 0.0158615730686512,
|
| 637 |
+
"learning_rate": 1.217214072100508e-05,
|
| 638 |
+
"loss": 0.4141,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.9891304347826086,
|
| 643 |
+
"grad_norm": 0.01615877678103288,
|
| 644 |
+
"learning_rate": 1.1985904666457455e-05,
|
| 645 |
+
"loss": 0.3743,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 1.0,
|
| 650 |
+
"grad_norm": 0.017892852375543514,
|
| 651 |
+
"learning_rate": 1.179894870368854e-05,
|
| 652 |
+
"loss": 0.4298,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 1.0,
|
| 657 |
+
"eval_loss": 0.48603561520576477,
|
| 658 |
+
"eval_runtime": 5.8299,
|
| 659 |
+
"eval_samples_per_second": 0.172,
|
| 660 |
+
"eval_steps_per_second": 0.172,
|
| 661 |
+
"step": 92
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.0108695652173914,
|
| 665 |
+
"grad_norm": 0.017298462574072342,
|
| 666 |
+
"learning_rate": 1.1611340605908643e-05,
|
| 667 |
+
"loss": 0.4148,
|
| 668 |
+
"step": 93
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.0217391304347827,
|
| 672 |
+
"grad_norm": 0.017838476342072244,
|
| 673 |
+
"learning_rate": 1.1423148382732854e-05,
|
| 674 |
+
"loss": 0.4034,
|
| 675 |
+
"step": 94
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.0326086956521738,
|
| 679 |
+
"grad_norm": 0.01861199740817311,
|
| 680 |
+
"learning_rate": 1.1234440255526948e-05,
|
| 681 |
+
"loss": 0.4219,
|
| 682 |
+
"step": 95
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.0434782608695652,
|
| 686 |
+
"grad_norm": 0.01671425099245661,
|
| 687 |
+
"learning_rate": 1.1045284632676535e-05,
|
| 688 |
+
"loss": 0.4046,
|
| 689 |
+
"step": 96
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.0543478260869565,
|
| 693 |
+
"grad_norm": 0.01861001152790246,
|
| 694 |
+
"learning_rate": 1.08557500847884e-05,
|
| 695 |
+
"loss": 0.4009,
|
| 696 |
+
"step": 97
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.065217391304348,
|
| 700 |
+
"grad_norm": 0.018107901828337766,
|
| 701 |
+
"learning_rate": 1.066590531983304e-05,
|
| 702 |
+
"loss": 0.4089,
|
| 703 |
+
"step": 98
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.0760869565217392,
|
| 707 |
+
"grad_norm": 0.0174920546188433,
|
| 708 |
+
"learning_rate": 1.0475819158237426e-05,
|
| 709 |
+
"loss": 0.3954,
|
| 710 |
+
"step": 99
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.0869565217391304,
|
| 714 |
+
"grad_norm": 0.016682152706871897,
|
| 715 |
+
"learning_rate": 1.0285560507936962e-05,
|
| 716 |
+
"loss": 0.4289,
|
| 717 |
+
"step": 100
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.0978260869565217,
|
| 721 |
+
"grad_norm": 0.018098011701254673,
|
| 722 |
+
"learning_rate": 1.0095198339395769e-05,
|
| 723 |
+
"loss": 0.4302,
|
| 724 |
+
"step": 101
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.108695652173913,
|
| 728 |
+
"grad_norm": 0.015568335864025949,
|
| 729 |
+
"learning_rate": 9.904801660604234e-06,
|
| 730 |
+
"loss": 0.409,
|
| 731 |
+
"step": 102
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.1195652173913044,
|
| 735 |
+
"grad_norm": 0.016958799953214254,
|
| 736 |
+
"learning_rate": 9.71443949206304e-06,
|
| 737 |
+
"loss": 0.4039,
|
| 738 |
+
"step": 103
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.1304347826086956,
|
| 742 |
+
"grad_norm": 0.017521827484537653,
|
| 743 |
+
"learning_rate": 9.524180841762577e-06,
|
| 744 |
+
"loss": 0.4142,
|
| 745 |
+
"step": 104
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.141304347826087,
|
| 749 |
+
"grad_norm": 0.018438050806712614,
|
| 750 |
+
"learning_rate": 9.334094680166962e-06,
|
| 751 |
+
"loss": 0.4085,
|
| 752 |
+
"step": 105
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.1521739130434783,
|
| 756 |
+
"grad_norm": 0.01941444882552903,
|
| 757 |
+
"learning_rate": 9.144249915211605e-06,
|
| 758 |
+
"loss": 0.4298,
|
| 759 |
+
"step": 106
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.1630434782608696,
|
| 763 |
+
"grad_norm": 0.017649511484447825,
|
| 764 |
+
"learning_rate": 8.954715367323468e-06,
|
| 765 |
+
"loss": 0.4161,
|
| 766 |
+
"step": 107
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.1739130434782608,
|
| 770 |
+
"grad_norm": 0.01677483752186088,
|
| 771 |
+
"learning_rate": 8.765559744473054e-06,
|
| 772 |
+
"loss": 0.4042,
|
| 773 |
+
"step": 108
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.184782608695652,
|
| 777 |
+
"grad_norm": 0.017213373571849412,
|
| 778 |
+
"learning_rate": 8.576851617267151e-06,
|
| 779 |
+
"loss": 0.409,
|
| 780 |
+
"step": 109
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.1956521739130435,
|
| 784 |
+
"grad_norm": 0.01804604085921314,
|
| 785 |
+
"learning_rate": 8.388659394091362e-06,
|
| 786 |
+
"loss": 0.4195,
|
| 787 |
+
"step": 110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.2065217391304348,
|
| 791 |
+
"grad_norm": 0.019524779611806008,
|
| 792 |
+
"learning_rate": 8.201051296311462e-06,
|
| 793 |
+
"loss": 0.4144,
|
| 794 |
+
"step": 111
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.2173913043478262,
|
| 798 |
+
"grad_norm": 0.01961583109753067,
|
| 799 |
+
"learning_rate": 8.014095333542548e-06,
|
| 800 |
+
"loss": 0.4169,
|
| 801 |
+
"step": 112
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.2282608695652173,
|
| 805 |
+
"grad_norm": 0.01828151965518523,
|
| 806 |
+
"learning_rate": 7.827859278994924e-06,
|
| 807 |
+
"loss": 0.3989,
|
| 808 |
+
"step": 113
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.2391304347826086,
|
| 812 |
+
"grad_norm": 0.01958662355054947,
|
| 813 |
+
"learning_rate": 7.642410644905726e-06,
|
| 814 |
+
"loss": 0.4166,
|
| 815 |
+
"step": 114
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.25,
|
| 819 |
+
"grad_norm": 0.018324698258002987,
|
| 820 |
+
"learning_rate": 7.4578166580651335e-06,
|
| 821 |
+
"loss": 0.4191,
|
| 822 |
+
"step": 115
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.2608695652173914,
|
| 826 |
+
"grad_norm": 0.01711860737234338,
|
| 827 |
+
"learning_rate": 7.274144235446024e-06,
|
| 828 |
+
"loss": 0.3976,
|
| 829 |
+
"step": 116
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.2717391304347827,
|
| 833 |
+
"grad_norm": 0.015977161100683545,
|
| 834 |
+
"learning_rate": 7.0914599599460095e-06,
|
| 835 |
+
"loss": 0.4301,
|
| 836 |
+
"step": 117
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.2826086956521738,
|
| 840 |
+
"grad_norm": 0.017423189335602548,
|
| 841 |
+
"learning_rate": 6.909830056250527e-06,
|
| 842 |
+
"loss": 0.3972,
|
| 843 |
+
"step": 118
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.2934782608695652,
|
| 847 |
+
"grad_norm": 0.020183820621289872,
|
| 848 |
+
"learning_rate": 6.729320366825785e-06,
|
| 849 |
+
"loss": 0.406,
|
| 850 |
+
"step": 119
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.3043478260869565,
|
| 854 |
+
"grad_norm": 0.0188473400999686,
|
| 855 |
+
"learning_rate": 6.549996328050296e-06,
|
| 856 |
+
"loss": 0.3886,
|
| 857 |
+
"step": 120
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.315217391304348,
|
| 861 |
+
"grad_norm": 0.02064149059917863,
|
| 862 |
+
"learning_rate": 6.3719229464935915e-06,
|
| 863 |
+
"loss": 0.456,
|
| 864 |
+
"step": 121
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.3260869565217392,
|
| 868 |
+
"grad_norm": 0.02178374309057221,
|
| 869 |
+
"learning_rate": 6.19516477535077e-06,
|
| 870 |
+
"loss": 0.4171,
|
| 871 |
+
"step": 122
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.3369565217391304,
|
| 875 |
+
"grad_norm": 0.02027707601043217,
|
| 876 |
+
"learning_rate": 6.019785891041381e-06,
|
| 877 |
+
"loss": 0.3642,
|
| 878 |
+
"step": 123
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.3478260869565217,
|
| 882 |
+
"grad_norm": 0.021269660172408174,
|
| 883 |
+
"learning_rate": 5.845849869981137e-06,
|
| 884 |
+
"loss": 0.4017,
|
| 885 |
+
"step": 124
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.358695652173913,
|
| 889 |
+
"grad_norm": 0.022411495134838297,
|
| 890 |
+
"learning_rate": 5.673419765534915e-06,
|
| 891 |
+
"loss": 0.4071,
|
| 892 |
+
"step": 125
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.3695652173913042,
|
| 896 |
+
"grad_norm": 0.01951721173355996,
|
| 897 |
+
"learning_rate": 5.502558085159344e-06,
|
| 898 |
+
"loss": 0.3481,
|
| 899 |
+
"step": 126
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.3804347826086958,
|
| 903 |
+
"grad_norm": 0.024116070335566953,
|
| 904 |
+
"learning_rate": 5.333326767743263e-06,
|
| 905 |
+
"loss": 0.4188,
|
| 906 |
+
"step": 127
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.391304347826087,
|
| 910 |
+
"grad_norm": 0.026359215985631845,
|
| 911 |
+
"learning_rate": 5.165787161154361e-06,
|
| 912 |
+
"loss": 0.4169,
|
| 913 |
+
"step": 128
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.4021739130434783,
|
| 917 |
+
"grad_norm": 0.022217706817923774,
|
| 918 |
+
"learning_rate": 5.000000000000003e-06,
|
| 919 |
+
"loss": 0.4236,
|
| 920 |
+
"step": 129
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.4130434782608696,
|
| 924 |
+
"grad_norm": 0.021753073317964423,
|
| 925 |
+
"learning_rate": 4.836025383610382e-06,
|
| 926 |
+
"loss": 0.432,
|
| 927 |
+
"step": 130
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.4239130434782608,
|
| 931 |
+
"grad_norm": 0.022436739303883135,
|
| 932 |
+
"learning_rate": 4.673922754252001e-06,
|
| 933 |
+
"loss": 0.4187,
|
| 934 |
+
"step": 131
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.434782608695652,
|
| 938 |
+
"grad_norm": 0.021898203612681105,
|
| 939 |
+
"learning_rate": 4.513750875579303e-06,
|
| 940 |
+
"loss": 0.4006,
|
| 941 |
+
"step": 132
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.4456521739130435,
|
| 945 |
+
"grad_norm": 0.022105558271218153,
|
| 946 |
+
"learning_rate": 4.355567811332311e-06,
|
| 947 |
+
"loss": 0.428,
|
| 948 |
+
"step": 133
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.4565217391304348,
|
| 952 |
+
"grad_norm": 0.02033202844138333,
|
| 953 |
+
"learning_rate": 4.19943090428802e-06,
|
| 954 |
+
"loss": 0.3973,
|
| 955 |
+
"step": 134
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.4673913043478262,
|
| 959 |
+
"grad_norm": 0.01963872298504158,
|
| 960 |
+
"learning_rate": 4.045396755473121e-06,
|
| 961 |
+
"loss": 0.4008,
|
| 962 |
+
"step": 135
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.4782608695652173,
|
| 966 |
+
"grad_norm": 0.020345281605454676,
|
| 967 |
+
"learning_rate": 3.893521203645618e-06,
|
| 968 |
+
"loss": 0.4147,
|
| 969 |
+
"step": 136
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.4891304347826086,
|
| 973 |
+
"grad_norm": 0.021452868059861192,
|
| 974 |
+
"learning_rate": 3.743859305052785e-06,
|
| 975 |
+
"loss": 0.4149,
|
| 976 |
+
"step": 137
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.5,
|
| 980 |
+
"grad_norm": 0.020207806262184335,
|
| 981 |
+
"learning_rate": 3.596465313472778e-06,
|
| 982 |
+
"loss": 0.3836,
|
| 983 |
+
"step": 138
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.5108695652173914,
|
| 987 |
+
"grad_norm": 0.02088539870362614,
|
| 988 |
+
"learning_rate": 3.4513926605471504e-06,
|
| 989 |
+
"loss": 0.4138,
|
| 990 |
+
"step": 139
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.5217391304347827,
|
| 994 |
+
"grad_norm": 0.019077086049604102,
|
| 995 |
+
"learning_rate": 3.308693936411421e-06,
|
| 996 |
+
"loss": 0.3832,
|
| 997 |
+
"step": 140
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.5326086956521738,
|
| 1001 |
+
"grad_norm": 0.020912600263192083,
|
| 1002 |
+
"learning_rate": 3.1684208706306572e-06,
|
| 1003 |
+
"loss": 0.4136,
|
| 1004 |
+
"step": 141
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.5434782608695652,
|
| 1008 |
+
"grad_norm": 0.02070907606152171,
|
| 1009 |
+
"learning_rate": 3.0306243134470668e-06,
|
| 1010 |
+
"loss": 0.4311,
|
| 1011 |
+
"step": 142
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.5543478260869565,
|
| 1015 |
+
"grad_norm": 0.02054030797884719,
|
| 1016 |
+
"learning_rate": 2.8953542173463133e-06,
|
| 1017 |
+
"loss": 0.3938,
|
| 1018 |
+
"step": 143
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.5652173913043477,
|
| 1022 |
+
"grad_norm": 0.022068383731631152,
|
| 1023 |
+
"learning_rate": 2.7626596189492983e-06,
|
| 1024 |
+
"loss": 0.3869,
|
| 1025 |
+
"step": 144
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.5760869565217392,
|
| 1029 |
+
"grad_norm": 0.022095291706298183,
|
| 1030 |
+
"learning_rate": 2.6325886212359496e-06,
|
| 1031 |
+
"loss": 0.4151,
|
| 1032 |
+
"step": 145
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.5869565217391304,
|
| 1036 |
+
"grad_norm": 0.021111713836599773,
|
| 1037 |
+
"learning_rate": 2.5051883761074613e-06,
|
| 1038 |
+
"loss": 0.4354,
|
| 1039 |
+
"step": 146
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.5978260869565217,
|
| 1043 |
+
"grad_norm": 0.02237517232258718,
|
| 1044 |
+
"learning_rate": 2.380505067293293e-06,
|
| 1045 |
+
"loss": 0.4146,
|
| 1046 |
+
"step": 147
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 1.608695652173913,
|
| 1050 |
+
"grad_norm": 0.019623457979118124,
|
| 1051 |
+
"learning_rate": 2.2585838936091753e-06,
|
| 1052 |
+
"loss": 0.4119,
|
| 1053 |
+
"step": 148
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 1.6195652173913042,
|
| 1057 |
+
"grad_norm": 0.021829275784838623,
|
| 1058 |
+
"learning_rate": 2.1394690525721275e-06,
|
| 1059 |
+
"loss": 0.4135,
|
| 1060 |
+
"step": 149
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 1.6304347826086958,
|
| 1064 |
+
"grad_norm": 0.021180171763894674,
|
| 1065 |
+
"learning_rate": 2.0232037243784475e-06,
|
| 1066 |
+
"loss": 0.423,
|
| 1067 |
+
"step": 150
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 1.641304347826087,
|
| 1071 |
+
"grad_norm": 0.02703521598184206,
|
| 1072 |
+
"learning_rate": 1.9098300562505266e-06,
|
| 1073 |
+
"loss": 0.4279,
|
| 1074 |
+
"step": 151
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 1.6521739130434783,
|
| 1078 |
+
"grad_norm": 0.020030953141784397,
|
| 1079 |
+
"learning_rate": 1.7993891471580894e-06,
|
| 1080 |
+
"loss": 0.3998,
|
| 1081 |
+
"step": 152
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 1.6630434782608696,
|
| 1085 |
+
"grad_norm": 0.02096005243951767,
|
| 1086 |
+
"learning_rate": 1.6919210329194535e-06,
|
| 1087 |
+
"loss": 0.4117,
|
| 1088 |
+
"step": 153
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 1.6739130434782608,
|
| 1092 |
+
"grad_norm": 0.02114720153165263,
|
| 1093 |
+
"learning_rate": 1.587464671688187e-06,
|
| 1094 |
+
"loss": 0.4267,
|
| 1095 |
+
"step": 154
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 1.6847826086956523,
|
| 1099 |
+
"grad_norm": 0.025390809807677033,
|
| 1100 |
+
"learning_rate": 1.4860579298304311e-06,
|
| 1101 |
+
"loss": 0.415,
|
| 1102 |
+
"step": 155
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 1.6956521739130435,
|
| 1106 |
+
"grad_norm": 0.021410687428214302,
|
| 1107 |
+
"learning_rate": 1.3877375681979944e-06,
|
| 1108 |
+
"loss": 0.4043,
|
| 1109 |
+
"step": 156
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 1.7065217391304348,
|
| 1113 |
+
"grad_norm": 0.023909950655856917,
|
| 1114 |
+
"learning_rate": 1.2925392288022299e-06,
|
| 1115 |
+
"loss": 0.4445,
|
| 1116 |
+
"step": 157
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 1.7173913043478262,
|
| 1120 |
+
"grad_norm": 0.021428679509317893,
|
| 1121 |
+
"learning_rate": 1.2004974218934695e-06,
|
| 1122 |
+
"loss": 0.4238,
|
| 1123 |
+
"step": 158
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 1.7282608695652173,
|
| 1127 |
+
"grad_norm": 0.02137946805669467,
|
| 1128 |
+
"learning_rate": 1.1116455134507665e-06,
|
| 1129 |
+
"loss": 0.3674,
|
| 1130 |
+
"step": 159
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 1.7391304347826086,
|
| 1134 |
+
"grad_norm": 0.022243431881806403,
|
| 1135 |
+
"learning_rate": 1.0260157130864178e-06,
|
| 1136 |
+
"loss": 0.426,
|
| 1137 |
+
"step": 160
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 1.75,
|
| 1141 |
+
"grad_norm": 0.024681458739084422,
|
| 1142 |
+
"learning_rate": 9.436390623696911e-07,
|
| 1143 |
+
"loss": 0.4313,
|
| 1144 |
+
"step": 161
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 1.7608695652173914,
|
| 1148 |
+
"grad_norm": 0.020315997518542663,
|
| 1149 |
+
"learning_rate": 8.645454235739903e-07,
|
| 1150 |
+
"loss": 0.3921,
|
| 1151 |
+
"step": 162
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 1.7717391304347827,
|
| 1155 |
+
"grad_norm": 0.02332809992280282,
|
| 1156 |
+
"learning_rate": 7.887634688515e-07,
|
| 1157 |
+
"loss": 0.4273,
|
| 1158 |
+
"step": 163
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 1.7826086956521738,
|
| 1162 |
+
"grad_norm": 0.020023620557189287,
|
| 1163 |
+
"learning_rate": 7.163206698392744e-07,
|
| 1164 |
+
"loss": 0.3738,
|
| 1165 |
+
"step": 164
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 1.7934782608695652,
|
| 1169 |
+
"grad_norm": 0.022892114041331832,
|
| 1170 |
+
"learning_rate": 6.472432877005341e-07,
|
| 1171 |
+
"loss": 0.404,
|
| 1172 |
+
"step": 165
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 1.8043478260869565,
|
| 1176 |
+
"grad_norm": 0.021905535119289433,
|
| 1177 |
+
"learning_rate": 5.815563636047539e-07,
|
| 1178 |
+
"loss": 0.4049,
|
| 1179 |
+
"step": 166
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 1.8152173913043477,
|
| 1183 |
+
"grad_norm": 0.02074267534357053,
|
| 1184 |
+
"learning_rate": 5.192837096500058e-07,
|
| 1185 |
+
"loss": 0.4166,
|
| 1186 |
+
"step": 167
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 1.8260869565217392,
|
| 1190 |
+
"grad_norm": 0.01843268176253824,
|
| 1191 |
+
"learning_rate": 4.6044790023087373e-07,
|
| 1192 |
+
"loss": 0.357,
|
| 1193 |
+
"step": 168
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 1.8369565217391304,
|
| 1197 |
+
"grad_norm": 0.02079361540838812,
|
| 1198 |
+
"learning_rate": 4.0507026385502747e-07,
|
| 1199 |
+
"loss": 0.4344,
|
| 1200 |
+
"step": 169
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 1.8478260869565217,
|
| 1204 |
+
"grad_norm": 0.021623517427470682,
|
| 1205 |
+
"learning_rate": 3.531708754114438e-07,
|
| 1206 |
+
"loss": 0.3878,
|
| 1207 |
+
"step": 170
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 1.858695652173913,
|
| 1211 |
+
"grad_norm": 0.02038214952768136,
|
| 1212 |
+
"learning_rate": 3.0476854889308737e-07,
|
| 1213 |
+
"loss": 0.3856,
|
| 1214 |
+
"step": 171
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 1.8695652173913042,
|
| 1218 |
+
"grad_norm": 0.023803627119720294,
|
| 1219 |
+
"learning_rate": 2.5988083057666534e-07,
|
| 1220 |
+
"loss": 0.416,
|
| 1221 |
+
"step": 172
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 1.8804347826086958,
|
| 1225 |
+
"grad_norm": 0.02284511042725229,
|
| 1226 |
+
"learning_rate": 2.1852399266194312e-07,
|
| 1227 |
+
"loss": 0.4268,
|
| 1228 |
+
"step": 173
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 1.891304347826087,
|
| 1232 |
+
"grad_norm": 0.022105485087235137,
|
| 1233 |
+
"learning_rate": 1.8071302737293294e-07,
|
| 1234 |
+
"loss": 0.3996,
|
| 1235 |
+
"step": 174
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 1.9021739130434783,
|
| 1239 |
+
"grad_norm": 0.02196082349655336,
|
| 1240 |
+
"learning_rate": 1.464616415230702e-07,
|
| 1241 |
+
"loss": 0.3977,
|
| 1242 |
+
"step": 175
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 1.9130434782608696,
|
| 1246 |
+
"grad_norm": 0.02582111983328924,
|
| 1247 |
+
"learning_rate": 1.1578225154637579e-07,
|
| 1248 |
+
"loss": 0.4167,
|
| 1249 |
+
"step": 176
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 1.9239130434782608,
|
| 1253 |
+
"grad_norm": 0.020467066579464847,
|
| 1254 |
+
"learning_rate": 8.868597899638897e-08,
|
| 1255 |
+
"loss": 0.4022,
|
| 1256 |
+
"step": 177
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 1.9347826086956523,
|
| 1260 |
+
"grad_norm": 0.018578643308574946,
|
| 1261 |
+
"learning_rate": 6.51826465144978e-08,
|
| 1262 |
+
"loss": 0.4305,
|
| 1263 |
+
"step": 178
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 1.9456521739130435,
|
| 1267 |
+
"grad_norm": 0.020351166995274374,
|
| 1268 |
+
"learning_rate": 4.528077426915412e-08,
|
| 1269 |
+
"loss": 0.4323,
|
| 1270 |
+
"step": 179
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 1.9565217391304348,
|
| 1274 |
+
"grad_norm": 0.01983648675971413,
|
| 1275 |
+
"learning_rate": 2.898757686722542e-08,
|
| 1276 |
+
"loss": 0.3953,
|
| 1277 |
+
"step": 180
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 1.9673913043478262,
|
| 1281 |
+
"grad_norm": 0.01924389485648581,
|
| 1282 |
+
"learning_rate": 1.630896073864352e-08,
|
| 1283 |
+
"loss": 0.4024,
|
| 1284 |
+
"step": 181
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 1.9782608695652173,
|
| 1288 |
+
"grad_norm": 0.021496764470333395,
|
| 1289 |
+
"learning_rate": 7.2495219952639636e-09,
|
| 1290 |
+
"loss": 0.4284,
|
| 1291 |
+
"step": 182
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 1.9891304347826086,
|
| 1295 |
+
"grad_norm": 0.02172124469681476,
|
| 1296 |
+
"learning_rate": 1.8125447647421302e-09,
|
| 1297 |
+
"loss": 0.3954,
|
| 1298 |
+
"step": 183
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 2.0,
|
| 1302 |
+
"grad_norm": 0.021341261717375007,
|
| 1303 |
+
"learning_rate": 0.0,
|
| 1304 |
+
"loss": 0.3989,
|
| 1305 |
+
"step": 184
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 2.0,
|
| 1309 |
+
"eval_loss": 0.481020450592041,
|
| 1310 |
+
"eval_runtime": 2.8131,
|
| 1311 |
+
"eval_samples_per_second": 0.355,
|
| 1312 |
+
"eval_steps_per_second": 0.355,
|
| 1313 |
+
"step": 184
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.0,
|
| 1317 |
+
"step": 184,
|
| 1318 |
+
"total_flos": 2780892130967552.0,
|
| 1319 |
+
"train_loss": 0.43346462998053303,
|
| 1320 |
+
"train_runtime": 8632.6044,
|
| 1321 |
+
"train_samples_per_second": 0.675,
|
| 1322 |
+
"train_steps_per_second": 0.021
|
| 1323 |
+
}
|
| 1324 |
+
],
|
| 1325 |
+
"logging_steps": 1,
|
| 1326 |
+
"max_steps": 184,
|
| 1327 |
+
"num_input_tokens_seen": 0,
|
| 1328 |
+
"num_train_epochs": 2,
|
| 1329 |
+
"save_steps": 500,
|
| 1330 |
+
"stateful_callbacks": {
|
| 1331 |
+
"TrainerControl": {
|
| 1332 |
+
"args": {
|
| 1333 |
+
"should_epoch_stop": false,
|
| 1334 |
+
"should_evaluate": false,
|
| 1335 |
+
"should_log": false,
|
| 1336 |
+
"should_save": true,
|
| 1337 |
+
"should_training_stop": true
|
| 1338 |
+
},
|
| 1339 |
+
"attributes": {}
|
| 1340 |
+
}
|
| 1341 |
+
},
|
| 1342 |
+
"total_flos": 2780892130967552.0,
|
| 1343 |
+
"train_batch_size": 4,
|
| 1344 |
+
"trial_name": null,
|
| 1345 |
+
"trial_params": null
|
| 1346 |
+
}
|