Model save
Browse files- README.md +58 -0
- all_results.json +8 -0
- generation_config.json +9 -0
- train_results.json +8 -0
- trainer_state.json +777 -0
README.md
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-Math-7B-Instruct
|
| 3 |
+
library_name: transformers
|
| 4 |
+
model_name: Qwen2.5-Math-7B-s1k
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
- trl
|
| 8 |
+
- sft
|
| 9 |
+
licence: license
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Qwen2.5-Math-7B-s1k
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct).
|
| 15 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
+
|
| 17 |
+
## Quick start
|
| 18 |
+
|
| 19 |
+
```python
|
| 20 |
+
from transformers import pipeline
|
| 21 |
+
|
| 22 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
| 23 |
+
generator = pipeline("text-generation", model="flyingbugs/Qwen2.5-Math-7B-s1k", device="cuda")
|
| 24 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 25 |
+
print(output["generated_text"])
|
| 26 |
+
```
|
| 27 |
+
|
| 28 |
+
## Training procedure
|
| 29 |
+
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jjh233/huggingface/runs/x3m9pqj9)
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
This model was trained with SFT.
|
| 34 |
+
|
| 35 |
+
### Framework versions
|
| 36 |
+
|
| 37 |
+
- TRL: 0.16.0.dev0
|
| 38 |
+
- Transformers: 4.49.0
|
| 39 |
+
- Pytorch: 2.5.1+cu121
|
| 40 |
+
- Datasets: 3.3.2
|
| 41 |
+
- Tokenizers: 0.21.0
|
| 42 |
+
|
| 43 |
+
## Citations
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
Cite TRL as:
|
| 48 |
+
|
| 49 |
+
```bibtex
|
| 50 |
+
@misc{vonwerra2022trl,
|
| 51 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
| 52 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
|
| 53 |
+
year = 2020,
|
| 54 |
+
journal = {GitHub repository},
|
| 55 |
+
publisher = {GitHub},
|
| 56 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
|
| 57 |
+
}
|
| 58 |
+
```
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"total_flos": 8.363833783064986e+16,
|
| 3 |
+
"train_loss": 1.3066247133981614,
|
| 4 |
+
"train_runtime": 6202.6685,
|
| 5 |
+
"train_samples": 1000,
|
| 6 |
+
"train_samples_per_second": 0.266,
|
| 7 |
+
"train_steps_per_second": 0.017
|
| 8 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645,
|
| 5 |
+
151643
|
| 6 |
+
],
|
| 7 |
+
"pad_token_id": 151643,
|
| 8 |
+
"transformers_version": "4.49.0"
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"total_flos": 8.363833783064986e+16,
|
| 3 |
+
"train_loss": 1.3066247133981614,
|
| 4 |
+
"train_runtime": 6202.6685,
|
| 5 |
+
"train_samples": 1000,
|
| 6 |
+
"train_samples_per_second": 0.266,
|
| 7 |
+
"train_steps_per_second": 0.017
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,777 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 105,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.047619047619047616,
|
| 13 |
+
"grad_norm": 46.73658663770524,
|
| 14 |
+
"learning_rate": 4.5454545454545455e-06,
|
| 15 |
+
"loss": 11.3797,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.09523809523809523,
|
| 20 |
+
"grad_norm": 44.523666214134316,
|
| 21 |
+
"learning_rate": 9.090909090909091e-06,
|
| 22 |
+
"loss": 11.5191,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.14285714285714285,
|
| 27 |
+
"grad_norm": 52.06639933238829,
|
| 28 |
+
"learning_rate": 1.3636363636363637e-05,
|
| 29 |
+
"loss": 10.8448,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.19047619047619047,
|
| 34 |
+
"grad_norm": 69.75134205890501,
|
| 35 |
+
"learning_rate": 1.8181818181818182e-05,
|
| 36 |
+
"loss": 9.5655,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.23809523809523808,
|
| 41 |
+
"grad_norm": 50.314368468329306,
|
| 42 |
+
"learning_rate": 2.272727272727273e-05,
|
| 43 |
+
"loss": 4.1848,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.2857142857142857,
|
| 48 |
+
"grad_norm": 7.357015429387816,
|
| 49 |
+
"learning_rate": 2.7272727272727273e-05,
|
| 50 |
+
"loss": 1.9862,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.3333333333333333,
|
| 55 |
+
"grad_norm": 7.401615020276034,
|
| 56 |
+
"learning_rate": 3.181818181818182e-05,
|
| 57 |
+
"loss": 1.9584,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.38095238095238093,
|
| 62 |
+
"grad_norm": 3.149164302427893,
|
| 63 |
+
"learning_rate": 3.6363636363636364e-05,
|
| 64 |
+
"loss": 1.5975,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.42857142857142855,
|
| 69 |
+
"grad_norm": 1.9054072928164427,
|
| 70 |
+
"learning_rate": 4.0909090909090915e-05,
|
| 71 |
+
"loss": 1.4777,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.47619047619047616,
|
| 76 |
+
"grad_norm": 2.09522071898415,
|
| 77 |
+
"learning_rate": 4.545454545454546e-05,
|
| 78 |
+
"loss": 1.4076,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.5238095238095238,
|
| 83 |
+
"grad_norm": 1.4886426113733002,
|
| 84 |
+
"learning_rate": 5e-05,
|
| 85 |
+
"loss": 1.3226,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.5714285714285714,
|
| 90 |
+
"grad_norm": 1.594161802836668,
|
| 91 |
+
"learning_rate": 4.946808510638298e-05,
|
| 92 |
+
"loss": 1.2825,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.6190476190476191,
|
| 97 |
+
"grad_norm": 1.5132463664090081,
|
| 98 |
+
"learning_rate": 4.893617021276596e-05,
|
| 99 |
+
"loss": 1.3821,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.6666666666666666,
|
| 104 |
+
"grad_norm": 1.4916977417841104,
|
| 105 |
+
"learning_rate": 4.840425531914894e-05,
|
| 106 |
+
"loss": 1.2297,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.7142857142857143,
|
| 111 |
+
"grad_norm": 1.07234396111405,
|
| 112 |
+
"learning_rate": 4.787234042553192e-05,
|
| 113 |
+
"loss": 1.2448,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.7619047619047619,
|
| 118 |
+
"grad_norm": 0.9261313011360983,
|
| 119 |
+
"learning_rate": 4.734042553191489e-05,
|
| 120 |
+
"loss": 1.2062,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.8095238095238095,
|
| 125 |
+
"grad_norm": 1.3648296835839082,
|
| 126 |
+
"learning_rate": 4.680851063829788e-05,
|
| 127 |
+
"loss": 1.2428,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.8571428571428571,
|
| 132 |
+
"grad_norm": 0.9239559683166827,
|
| 133 |
+
"learning_rate": 4.627659574468085e-05,
|
| 134 |
+
"loss": 1.2616,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.9047619047619048,
|
| 139 |
+
"grad_norm": 0.7209850490291895,
|
| 140 |
+
"learning_rate": 4.574468085106383e-05,
|
| 141 |
+
"loss": 1.0656,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.9523809523809523,
|
| 146 |
+
"grad_norm": 0.9769698482701535,
|
| 147 |
+
"learning_rate": 4.5212765957446815e-05,
|
| 148 |
+
"loss": 1.0884,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.0,
|
| 153 |
+
"grad_norm": 0.6106942050998588,
|
| 154 |
+
"learning_rate": 4.468085106382979e-05,
|
| 155 |
+
"loss": 1.0672,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 1.0476190476190477,
|
| 160 |
+
"grad_norm": 0.801040183534444,
|
| 161 |
+
"learning_rate": 4.414893617021277e-05,
|
| 162 |
+
"loss": 1.0478,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 1.0952380952380953,
|
| 167 |
+
"grad_norm": 0.7146659615588544,
|
| 168 |
+
"learning_rate": 4.3617021276595746e-05,
|
| 169 |
+
"loss": 1.091,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.1428571428571428,
|
| 174 |
+
"grad_norm": 0.5905709163842993,
|
| 175 |
+
"learning_rate": 4.3085106382978725e-05,
|
| 176 |
+
"loss": 1.1275,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.1904761904761905,
|
| 181 |
+
"grad_norm": 0.5826060194579513,
|
| 182 |
+
"learning_rate": 4.2553191489361704e-05,
|
| 183 |
+
"loss": 1.0079,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.2380952380952381,
|
| 188 |
+
"grad_norm": 0.6151603075503278,
|
| 189 |
+
"learning_rate": 4.2021276595744684e-05,
|
| 190 |
+
"loss": 1.0802,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.2857142857142856,
|
| 195 |
+
"grad_norm": 0.5264186877249164,
|
| 196 |
+
"learning_rate": 4.148936170212766e-05,
|
| 197 |
+
"loss": 1.0406,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 1.3333333333333333,
|
| 202 |
+
"grad_norm": 0.5461664948214178,
|
| 203 |
+
"learning_rate": 4.095744680851064e-05,
|
| 204 |
+
"loss": 1.0072,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 1.380952380952381,
|
| 209 |
+
"grad_norm": 0.4822129939360476,
|
| 210 |
+
"learning_rate": 4.0425531914893614e-05,
|
| 211 |
+
"loss": 1.0367,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.4285714285714286,
|
| 216 |
+
"grad_norm": 0.49848757883873196,
|
| 217 |
+
"learning_rate": 3.9893617021276594e-05,
|
| 218 |
+
"loss": 0.9754,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.4761904761904763,
|
| 223 |
+
"grad_norm": 0.5766625117987682,
|
| 224 |
+
"learning_rate": 3.936170212765958e-05,
|
| 225 |
+
"loss": 1.0631,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.5238095238095237,
|
| 230 |
+
"grad_norm": 0.4859811195017287,
|
| 231 |
+
"learning_rate": 3.882978723404255e-05,
|
| 232 |
+
"loss": 1.0003,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.5714285714285714,
|
| 237 |
+
"grad_norm": 0.5617547786833981,
|
| 238 |
+
"learning_rate": 3.829787234042553e-05,
|
| 239 |
+
"loss": 1.0312,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.619047619047619,
|
| 244 |
+
"grad_norm": 0.4760704205398701,
|
| 245 |
+
"learning_rate": 3.776595744680852e-05,
|
| 246 |
+
"loss": 0.9957,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.6666666666666665,
|
| 251 |
+
"grad_norm": 0.5525097760212518,
|
| 252 |
+
"learning_rate": 3.723404255319149e-05,
|
| 253 |
+
"loss": 1.0427,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.7142857142857144,
|
| 258 |
+
"grad_norm": 0.48722284467868165,
|
| 259 |
+
"learning_rate": 3.670212765957447e-05,
|
| 260 |
+
"loss": 0.9141,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.7619047619047619,
|
| 265 |
+
"grad_norm": 0.48286908931413486,
|
| 266 |
+
"learning_rate": 3.617021276595745e-05,
|
| 267 |
+
"loss": 0.9701,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.8095238095238095,
|
| 272 |
+
"grad_norm": 0.509607069236827,
|
| 273 |
+
"learning_rate": 3.563829787234043e-05,
|
| 274 |
+
"loss": 0.9234,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.8571428571428572,
|
| 279 |
+
"grad_norm": 0.48664273824178367,
|
| 280 |
+
"learning_rate": 3.5106382978723407e-05,
|
| 281 |
+
"loss": 1.0605,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.9047619047619047,
|
| 286 |
+
"grad_norm": 0.4951502177756041,
|
| 287 |
+
"learning_rate": 3.4574468085106386e-05,
|
| 288 |
+
"loss": 1.0418,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.9523809523809523,
|
| 293 |
+
"grad_norm": 0.5599844810380401,
|
| 294 |
+
"learning_rate": 3.4042553191489365e-05,
|
| 295 |
+
"loss": 1.0207,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.0,
|
| 300 |
+
"grad_norm": 0.47167217001219114,
|
| 301 |
+
"learning_rate": 3.3510638297872344e-05,
|
| 302 |
+
"loss": 0.8667,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 2.0476190476190474,
|
| 307 |
+
"grad_norm": 0.5766076030131434,
|
| 308 |
+
"learning_rate": 3.2978723404255317e-05,
|
| 309 |
+
"loss": 0.9305,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 2.0952380952380953,
|
| 314 |
+
"grad_norm": 0.5223243597728271,
|
| 315 |
+
"learning_rate": 3.2446808510638296e-05,
|
| 316 |
+
"loss": 0.8412,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 2.142857142857143,
|
| 321 |
+
"grad_norm": 0.46907426786479,
|
| 322 |
+
"learning_rate": 3.191489361702128e-05,
|
| 323 |
+
"loss": 0.8973,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 2.1904761904761907,
|
| 328 |
+
"grad_norm": 0.4701126779049834,
|
| 329 |
+
"learning_rate": 3.1382978723404254e-05,
|
| 330 |
+
"loss": 0.8509,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 2.238095238095238,
|
| 335 |
+
"grad_norm": 0.48418735511330596,
|
| 336 |
+
"learning_rate": 3.085106382978723e-05,
|
| 337 |
+
"loss": 0.8757,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.2857142857142856,
|
| 342 |
+
"grad_norm": 0.6556800657324943,
|
| 343 |
+
"learning_rate": 3.0319148936170216e-05,
|
| 344 |
+
"loss": 0.9124,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 2.3333333333333335,
|
| 349 |
+
"grad_norm": 0.6014700280019579,
|
| 350 |
+
"learning_rate": 2.9787234042553192e-05,
|
| 351 |
+
"loss": 0.8755,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 2.380952380952381,
|
| 356 |
+
"grad_norm": 0.5915165889418732,
|
| 357 |
+
"learning_rate": 2.925531914893617e-05,
|
| 358 |
+
"loss": 0.8925,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.4285714285714284,
|
| 363 |
+
"grad_norm": 0.6317703078383352,
|
| 364 |
+
"learning_rate": 2.8723404255319154e-05,
|
| 365 |
+
"loss": 0.8663,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.4761904761904763,
|
| 370 |
+
"grad_norm": 0.6429525648150871,
|
| 371 |
+
"learning_rate": 2.819148936170213e-05,
|
| 372 |
+
"loss": 0.8198,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 2.5238095238095237,
|
| 377 |
+
"grad_norm": 0.5187394614056622,
|
| 378 |
+
"learning_rate": 2.765957446808511e-05,
|
| 379 |
+
"loss": 0.7651,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.571428571428571,
|
| 384 |
+
"grad_norm": 0.4845593782104512,
|
| 385 |
+
"learning_rate": 2.7127659574468084e-05,
|
| 386 |
+
"loss": 0.8805,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.619047619047619,
|
| 391 |
+
"grad_norm": 0.47561465960794413,
|
| 392 |
+
"learning_rate": 2.6595744680851064e-05,
|
| 393 |
+
"loss": 0.9561,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 2.6666666666666665,
|
| 398 |
+
"grad_norm": 0.48208401639762166,
|
| 399 |
+
"learning_rate": 2.6063829787234046e-05,
|
| 400 |
+
"loss": 0.8638,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 2.7142857142857144,
|
| 405 |
+
"grad_norm": 0.5193206572882076,
|
| 406 |
+
"learning_rate": 2.5531914893617022e-05,
|
| 407 |
+
"loss": 0.8062,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 2.761904761904762,
|
| 412 |
+
"grad_norm": 0.5299016279110512,
|
| 413 |
+
"learning_rate": 2.5e-05,
|
| 414 |
+
"loss": 0.8236,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 2.8095238095238093,
|
| 419 |
+
"grad_norm": 0.47247578172991544,
|
| 420 |
+
"learning_rate": 2.446808510638298e-05,
|
| 421 |
+
"loss": 0.786,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 2.857142857142857,
|
| 426 |
+
"grad_norm": 0.4887209838922498,
|
| 427 |
+
"learning_rate": 2.393617021276596e-05,
|
| 428 |
+
"loss": 0.8275,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 2.9047619047619047,
|
| 433 |
+
"grad_norm": 0.47820835963456026,
|
| 434 |
+
"learning_rate": 2.340425531914894e-05,
|
| 435 |
+
"loss": 0.8581,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 2.9523809523809526,
|
| 440 |
+
"grad_norm": 0.46592054309550573,
|
| 441 |
+
"learning_rate": 2.2872340425531915e-05,
|
| 442 |
+
"loss": 0.8726,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 3.0,
|
| 447 |
+
"grad_norm": 0.5063226147267863,
|
| 448 |
+
"learning_rate": 2.2340425531914894e-05,
|
| 449 |
+
"loss": 0.8522,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 3.0476190476190474,
|
| 454 |
+
"grad_norm": 0.4349456733161818,
|
| 455 |
+
"learning_rate": 2.1808510638297873e-05,
|
| 456 |
+
"loss": 0.7678,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 3.0952380952380953,
|
| 461 |
+
"grad_norm": 0.43322041549114737,
|
| 462 |
+
"learning_rate": 2.1276595744680852e-05,
|
| 463 |
+
"loss": 0.7291,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 3.142857142857143,
|
| 468 |
+
"grad_norm": 0.3891658154700991,
|
| 469 |
+
"learning_rate": 2.074468085106383e-05,
|
| 470 |
+
"loss": 0.7098,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 3.1904761904761907,
|
| 475 |
+
"grad_norm": 0.48090626334768466,
|
| 476 |
+
"learning_rate": 2.0212765957446807e-05,
|
| 477 |
+
"loss": 0.7075,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 3.238095238095238,
|
| 482 |
+
"grad_norm": 0.4192109123095055,
|
| 483 |
+
"learning_rate": 1.968085106382979e-05,
|
| 484 |
+
"loss": 0.7135,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 3.2857142857142856,
|
| 489 |
+
"grad_norm": 0.4538447830174013,
|
| 490 |
+
"learning_rate": 1.9148936170212766e-05,
|
| 491 |
+
"loss": 0.7293,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 3.3333333333333335,
|
| 496 |
+
"grad_norm": 0.400428247237971,
|
| 497 |
+
"learning_rate": 1.8617021276595745e-05,
|
| 498 |
+
"loss": 0.7182,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 3.380952380952381,
|
| 503 |
+
"grad_norm": 0.41259082028208505,
|
| 504 |
+
"learning_rate": 1.8085106382978724e-05,
|
| 505 |
+
"loss": 0.7111,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 3.4285714285714284,
|
| 510 |
+
"grad_norm": 0.42210992879504494,
|
| 511 |
+
"learning_rate": 1.7553191489361703e-05,
|
| 512 |
+
"loss": 0.7358,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 3.4761904761904763,
|
| 517 |
+
"grad_norm": 0.4805171232293903,
|
| 518 |
+
"learning_rate": 1.7021276595744682e-05,
|
| 519 |
+
"loss": 0.7693,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 3.5238095238095237,
|
| 524 |
+
"grad_norm": 0.4290739751199803,
|
| 525 |
+
"learning_rate": 1.6489361702127658e-05,
|
| 526 |
+
"loss": 0.7538,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 3.571428571428571,
|
| 531 |
+
"grad_norm": 0.46386967645771476,
|
| 532 |
+
"learning_rate": 1.595744680851064e-05,
|
| 533 |
+
"loss": 0.7483,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 3.619047619047619,
|
| 538 |
+
"grad_norm": 0.4600000815160992,
|
| 539 |
+
"learning_rate": 1.5425531914893617e-05,
|
| 540 |
+
"loss": 0.6961,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 3.6666666666666665,
|
| 545 |
+
"grad_norm": 0.48967690124437346,
|
| 546 |
+
"learning_rate": 1.4893617021276596e-05,
|
| 547 |
+
"loss": 0.7759,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 3.7142857142857144,
|
| 552 |
+
"grad_norm": 0.43799987175594934,
|
| 553 |
+
"learning_rate": 1.4361702127659577e-05,
|
| 554 |
+
"loss": 0.6973,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 3.761904761904762,
|
| 559 |
+
"grad_norm": 0.4170501746303817,
|
| 560 |
+
"learning_rate": 1.3829787234042554e-05,
|
| 561 |
+
"loss": 0.7713,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 3.8095238095238093,
|
| 566 |
+
"grad_norm": 0.44313691170789904,
|
| 567 |
+
"learning_rate": 1.3297872340425532e-05,
|
| 568 |
+
"loss": 0.7287,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 3.857142857142857,
|
| 573 |
+
"grad_norm": 0.3626173621626196,
|
| 574 |
+
"learning_rate": 1.2765957446808511e-05,
|
| 575 |
+
"loss": 0.7152,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 3.9047619047619047,
|
| 580 |
+
"grad_norm": 0.40980441661962524,
|
| 581 |
+
"learning_rate": 1.223404255319149e-05,
|
| 582 |
+
"loss": 0.7388,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 3.9523809523809526,
|
| 587 |
+
"grad_norm": 0.3476970829860624,
|
| 588 |
+
"learning_rate": 1.170212765957447e-05,
|
| 589 |
+
"loss": 0.6835,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 4.0,
|
| 594 |
+
"grad_norm": 0.34534853622038764,
|
| 595 |
+
"learning_rate": 1.1170212765957447e-05,
|
| 596 |
+
"loss": 0.6936,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 4.0476190476190474,
|
| 601 |
+
"grad_norm": 0.34717149811141956,
|
| 602 |
+
"learning_rate": 1.0638297872340426e-05,
|
| 603 |
+
"loss": 0.6412,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 4.095238095238095,
|
| 608 |
+
"grad_norm": 0.39121639106624856,
|
| 609 |
+
"learning_rate": 1.0106382978723404e-05,
|
| 610 |
+
"loss": 0.6447,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 4.142857142857143,
|
| 615 |
+
"grad_norm": 0.3853359648131134,
|
| 616 |
+
"learning_rate": 9.574468085106383e-06,
|
| 617 |
+
"loss": 0.67,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 4.190476190476191,
|
| 622 |
+
"grad_norm": 0.333219732679469,
|
| 623 |
+
"learning_rate": 9.042553191489362e-06,
|
| 624 |
+
"loss": 0.6951,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 4.238095238095238,
|
| 629 |
+
"grad_norm": 0.4113440938373367,
|
| 630 |
+
"learning_rate": 8.510638297872341e-06,
|
| 631 |
+
"loss": 0.6427,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 4.285714285714286,
|
| 636 |
+
"grad_norm": 0.4292570295550588,
|
| 637 |
+
"learning_rate": 7.97872340425532e-06,
|
| 638 |
+
"loss": 0.6563,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 4.333333333333333,
|
| 643 |
+
"grad_norm": 0.3325469730092871,
|
| 644 |
+
"learning_rate": 7.446808510638298e-06,
|
| 645 |
+
"loss": 0.6215,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 4.380952380952381,
|
| 650 |
+
"grad_norm": 0.37390136106392785,
|
| 651 |
+
"learning_rate": 6.914893617021277e-06,
|
| 652 |
+
"loss": 0.6194,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 4.428571428571429,
|
| 657 |
+
"grad_norm": 0.4143640454410716,
|
| 658 |
+
"learning_rate": 6.3829787234042555e-06,
|
| 659 |
+
"loss": 0.6207,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 4.476190476190476,
|
| 664 |
+
"grad_norm": 0.3648244167487935,
|
| 665 |
+
"learning_rate": 5.851063829787235e-06,
|
| 666 |
+
"loss": 0.5998,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 4.523809523809524,
|
| 671 |
+
"grad_norm": 0.3512446333779434,
|
| 672 |
+
"learning_rate": 5.319148936170213e-06,
|
| 673 |
+
"loss": 0.6351,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 4.571428571428571,
|
| 678 |
+
"grad_norm": 0.339436273470992,
|
| 679 |
+
"learning_rate": 4.787234042553191e-06,
|
| 680 |
+
"loss": 0.599,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 4.619047619047619,
|
| 685 |
+
"grad_norm": 0.4440038854080703,
|
| 686 |
+
"learning_rate": 4.255319148936171e-06,
|
| 687 |
+
"loss": 0.584,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 4.666666666666667,
|
| 692 |
+
"grad_norm": 0.36581621694617583,
|
| 693 |
+
"learning_rate": 3.723404255319149e-06,
|
| 694 |
+
"loss": 0.6203,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 4.714285714285714,
|
| 699 |
+
"grad_norm": 0.3509331585886843,
|
| 700 |
+
"learning_rate": 3.1914893617021277e-06,
|
| 701 |
+
"loss": 0.5981,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 4.761904761904762,
|
| 706 |
+
"grad_norm": 0.3403976301106126,
|
| 707 |
+
"learning_rate": 2.6595744680851065e-06,
|
| 708 |
+
"loss": 0.6415,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 4.809523809523809,
|
| 713 |
+
"grad_norm": 0.30854856192103863,
|
| 714 |
+
"learning_rate": 2.1276595744680853e-06,
|
| 715 |
+
"loss": 0.6054,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 4.857142857142857,
|
| 720 |
+
"grad_norm": 0.2984920819758894,
|
| 721 |
+
"learning_rate": 1.5957446808510639e-06,
|
| 722 |
+
"loss": 0.6145,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 4.904761904761905,
|
| 727 |
+
"grad_norm": 0.30989076720361786,
|
| 728 |
+
"learning_rate": 1.0638297872340427e-06,
|
| 729 |
+
"loss": 0.6317,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 4.9523809523809526,
|
| 734 |
+
"grad_norm": 0.3438826262811614,
|
| 735 |
+
"learning_rate": 5.319148936170213e-07,
|
| 736 |
+
"loss": 0.6193,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 5.0,
|
| 741 |
+
"grad_norm": 0.32644346890582215,
|
| 742 |
+
"learning_rate": 0.0,
|
| 743 |
+
"loss": 0.6277,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 5.0,
|
| 748 |
+
"step": 105,
|
| 749 |
+
"total_flos": 8.363833783064986e+16,
|
| 750 |
+
"train_loss": 1.3066247133981614,
|
| 751 |
+
"train_runtime": 6202.6685,
|
| 752 |
+
"train_samples_per_second": 0.266,
|
| 753 |
+
"train_steps_per_second": 0.017
|
| 754 |
+
}
|
| 755 |
+
],
|
| 756 |
+
"logging_steps": 1,
|
| 757 |
+
"max_steps": 105,
|
| 758 |
+
"num_input_tokens_seen": 0,
|
| 759 |
+
"num_train_epochs": 5,
|
| 760 |
+
"save_steps": 500,
|
| 761 |
+
"stateful_callbacks": {
|
| 762 |
+
"TrainerControl": {
|
| 763 |
+
"args": {
|
| 764 |
+
"should_epoch_stop": false,
|
| 765 |
+
"should_evaluate": false,
|
| 766 |
+
"should_log": false,
|
| 767 |
+
"should_save": true,
|
| 768 |
+
"should_training_stop": true
|
| 769 |
+
},
|
| 770 |
+
"attributes": {}
|
| 771 |
+
}
|
| 772 |
+
},
|
| 773 |
+
"total_flos": 8.363833783064986e+16,
|
| 774 |
+
"train_batch_size": 1,
|
| 775 |
+
"trial_name": null,
|
| 776 |
+
"trial_params": null
|
| 777 |
+
}
|