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 +1036 -0
README.md
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: agentica-org/DeepScaleR-1.5B-Preview
|
| 3 |
+
library_name: transformers
|
| 4 |
+
model_name: DeepScaleR-1.5B-L36-RollE6
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
- trl
|
| 8 |
+
- sft
|
| 9 |
+
licence: license
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for DeepScaleR-1.5B-L36-RollE6
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [agentica-org/DeepScaleR-1.5B-Preview](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview).
|
| 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="ZMC2019/DeepScaleR-1.5B-L36-RollE6", 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/chenzhuoming911/huggingface/runs/a93zynx5)
|
| 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
|
| 40 |
+
- Datasets: 3.4.1
|
| 41 |
+
- Tokenizers: 0.21.1
|
| 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": 2.5527473493612954e+17,
|
| 3 |
+
"train_loss": 0.3212856304745714,
|
| 4 |
+
"train_runtime": 7845.5794,
|
| 5 |
+
"train_samples": 93733,
|
| 6 |
+
"train_samples_per_second": 1.451,
|
| 7 |
+
"train_steps_per_second": 0.091
|
| 8 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151646,
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": 151643,
|
| 6 |
+
"temperature": 0.6,
|
| 7 |
+
"top_p": 0.95,
|
| 8 |
+
"transformers_version": "4.49.0"
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"total_flos": 2.5527473493612954e+17,
|
| 3 |
+
"train_loss": 0.3212856304745714,
|
| 4 |
+
"train_runtime": 7845.5794,
|
| 5 |
+
"train_samples": 93733,
|
| 6 |
+
"train_samples_per_second": 1.451,
|
| 7 |
+
"train_steps_per_second": 0.091
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1036 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 6.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 714,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04201680672268908,
|
| 13 |
+
"grad_norm": 7.36784279593653,
|
| 14 |
+
"learning_rate": 3.4722222222222224e-06,
|
| 15 |
+
"loss": 0.9203,
|
| 16 |
+
"step": 5
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.08403361344537816,
|
| 20 |
+
"grad_norm": 2.6817007224142193,
|
| 21 |
+
"learning_rate": 6.944444444444445e-06,
|
| 22 |
+
"loss": 0.8488,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.12605042016806722,
|
| 27 |
+
"grad_norm": 1.1173297473773625,
|
| 28 |
+
"learning_rate": 1.0416666666666668e-05,
|
| 29 |
+
"loss": 0.6786,
|
| 30 |
+
"step": 15
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.16806722689075632,
|
| 34 |
+
"grad_norm": 0.5432821597326414,
|
| 35 |
+
"learning_rate": 1.388888888888889e-05,
|
| 36 |
+
"loss": 0.6023,
|
| 37 |
+
"step": 20
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.21008403361344538,
|
| 41 |
+
"grad_norm": 0.4253948970109724,
|
| 42 |
+
"learning_rate": 1.736111111111111e-05,
|
| 43 |
+
"loss": 0.5601,
|
| 44 |
+
"step": 25
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.25210084033613445,
|
| 48 |
+
"grad_norm": 0.31150432991851523,
|
| 49 |
+
"learning_rate": 2.0833333333333336e-05,
|
| 50 |
+
"loss": 0.5233,
|
| 51 |
+
"step": 30
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.29411764705882354,
|
| 55 |
+
"grad_norm": 0.32050134592917545,
|
| 56 |
+
"learning_rate": 2.4305555555555558e-05,
|
| 57 |
+
"loss": 0.506,
|
| 58 |
+
"step": 35
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.33613445378151263,
|
| 62 |
+
"grad_norm": 0.27149516786646455,
|
| 63 |
+
"learning_rate": 2.777777777777778e-05,
|
| 64 |
+
"loss": 0.4902,
|
| 65 |
+
"step": 40
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.37815126050420167,
|
| 69 |
+
"grad_norm": 0.256388828476645,
|
| 70 |
+
"learning_rate": 3.125e-05,
|
| 71 |
+
"loss": 0.466,
|
| 72 |
+
"step": 45
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.42016806722689076,
|
| 76 |
+
"grad_norm": 0.2604693465205412,
|
| 77 |
+
"learning_rate": 3.472222222222222e-05,
|
| 78 |
+
"loss": 0.4627,
|
| 79 |
+
"step": 50
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.46218487394957986,
|
| 83 |
+
"grad_norm": 0.23787838722566912,
|
| 84 |
+
"learning_rate": 3.8194444444444444e-05,
|
| 85 |
+
"loss": 0.443,
|
| 86 |
+
"step": 55
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.5042016806722689,
|
| 90 |
+
"grad_norm": 0.23524988298322033,
|
| 91 |
+
"learning_rate": 4.166666666666667e-05,
|
| 92 |
+
"loss": 0.4347,
|
| 93 |
+
"step": 60
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.5462184873949579,
|
| 97 |
+
"grad_norm": 0.720408504919723,
|
| 98 |
+
"learning_rate": 4.5138888888888894e-05,
|
| 99 |
+
"loss": 0.4325,
|
| 100 |
+
"step": 65
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.5882352941176471,
|
| 104 |
+
"grad_norm": 0.15502732828730537,
|
| 105 |
+
"learning_rate": 4.8611111111111115e-05,
|
| 106 |
+
"loss": 0.4092,
|
| 107 |
+
"step": 70
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.6302521008403361,
|
| 111 |
+
"grad_norm": 0.1681572620191539,
|
| 112 |
+
"learning_rate": 4.976635514018692e-05,
|
| 113 |
+
"loss": 0.4144,
|
| 114 |
+
"step": 75
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.6722689075630253,
|
| 118 |
+
"grad_norm": 0.14289664425952017,
|
| 119 |
+
"learning_rate": 4.937694704049845e-05,
|
| 120 |
+
"loss": 0.4101,
|
| 121 |
+
"step": 80
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.7142857142857143,
|
| 125 |
+
"grad_norm": 0.1423836892341792,
|
| 126 |
+
"learning_rate": 4.898753894080997e-05,
|
| 127 |
+
"loss": 0.4028,
|
| 128 |
+
"step": 85
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.7563025210084033,
|
| 132 |
+
"grad_norm": 0.13921521879920523,
|
| 133 |
+
"learning_rate": 4.85981308411215e-05,
|
| 134 |
+
"loss": 0.3961,
|
| 135 |
+
"step": 90
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.7983193277310925,
|
| 139 |
+
"grad_norm": 0.1320808306944742,
|
| 140 |
+
"learning_rate": 4.820872274143303e-05,
|
| 141 |
+
"loss": 0.4057,
|
| 142 |
+
"step": 95
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.8403361344537815,
|
| 146 |
+
"grad_norm": 0.13511566705435527,
|
| 147 |
+
"learning_rate": 4.781931464174455e-05,
|
| 148 |
+
"loss": 0.3982,
|
| 149 |
+
"step": 100
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.8823529411764706,
|
| 153 |
+
"grad_norm": 0.12059831677330138,
|
| 154 |
+
"learning_rate": 4.742990654205608e-05,
|
| 155 |
+
"loss": 0.3926,
|
| 156 |
+
"step": 105
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.9243697478991597,
|
| 160 |
+
"grad_norm": 0.14025999739783343,
|
| 161 |
+
"learning_rate": 4.7040498442367604e-05,
|
| 162 |
+
"loss": 0.3863,
|
| 163 |
+
"step": 110
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.9663865546218487,
|
| 167 |
+
"grad_norm": 0.13908375301311737,
|
| 168 |
+
"learning_rate": 4.665109034267913e-05,
|
| 169 |
+
"loss": 0.3985,
|
| 170 |
+
"step": 115
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.0084033613445378,
|
| 174 |
+
"grad_norm": 0.1402995196474956,
|
| 175 |
+
"learning_rate": 4.6261682242990654e-05,
|
| 176 |
+
"loss": 0.3844,
|
| 177 |
+
"step": 120
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.050420168067227,
|
| 181 |
+
"grad_norm": 0.14896376645944973,
|
| 182 |
+
"learning_rate": 4.5872274143302186e-05,
|
| 183 |
+
"loss": 0.3711,
|
| 184 |
+
"step": 125
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.092436974789916,
|
| 188 |
+
"grad_norm": 0.1330752274361008,
|
| 189 |
+
"learning_rate": 4.548286604361371e-05,
|
| 190 |
+
"loss": 0.3627,
|
| 191 |
+
"step": 130
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.134453781512605,
|
| 195 |
+
"grad_norm": 0.12286078605816185,
|
| 196 |
+
"learning_rate": 4.5093457943925236e-05,
|
| 197 |
+
"loss": 0.3627,
|
| 198 |
+
"step": 135
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 1.1764705882352942,
|
| 202 |
+
"grad_norm": 0.1300040241362218,
|
| 203 |
+
"learning_rate": 4.470404984423676e-05,
|
| 204 |
+
"loss": 0.3586,
|
| 205 |
+
"step": 140
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 1.2184873949579833,
|
| 209 |
+
"grad_norm": 0.1212676350760631,
|
| 210 |
+
"learning_rate": 4.431464174454829e-05,
|
| 211 |
+
"loss": 0.3653,
|
| 212 |
+
"step": 145
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.2605042016806722,
|
| 216 |
+
"grad_norm": 0.13672573392631662,
|
| 217 |
+
"learning_rate": 4.392523364485982e-05,
|
| 218 |
+
"loss": 0.3601,
|
| 219 |
+
"step": 150
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.3025210084033614,
|
| 223 |
+
"grad_norm": 0.12866697257558982,
|
| 224 |
+
"learning_rate": 4.353582554517134e-05,
|
| 225 |
+
"loss": 0.3646,
|
| 226 |
+
"step": 155
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.3445378151260505,
|
| 230 |
+
"grad_norm": 0.12251791003688832,
|
| 231 |
+
"learning_rate": 4.314641744548287e-05,
|
| 232 |
+
"loss": 0.3554,
|
| 233 |
+
"step": 160
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.3865546218487395,
|
| 237 |
+
"grad_norm": 0.128140623459501,
|
| 238 |
+
"learning_rate": 4.27570093457944e-05,
|
| 239 |
+
"loss": 0.3597,
|
| 240 |
+
"step": 165
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.4285714285714286,
|
| 244 |
+
"grad_norm": 0.12517942956515188,
|
| 245 |
+
"learning_rate": 4.236760124610592e-05,
|
| 246 |
+
"loss": 0.3596,
|
| 247 |
+
"step": 170
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.4705882352941178,
|
| 251 |
+
"grad_norm": 0.1264068992533434,
|
| 252 |
+
"learning_rate": 4.197819314641745e-05,
|
| 253 |
+
"loss": 0.3523,
|
| 254 |
+
"step": 175
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.5126050420168067,
|
| 258 |
+
"grad_norm": 0.12844150586086567,
|
| 259 |
+
"learning_rate": 4.1588785046728974e-05,
|
| 260 |
+
"loss": 0.3611,
|
| 261 |
+
"step": 180
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.5546218487394958,
|
| 265 |
+
"grad_norm": 0.1463320479548455,
|
| 266 |
+
"learning_rate": 4.11993769470405e-05,
|
| 267 |
+
"loss": 0.3544,
|
| 268 |
+
"step": 185
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.596638655462185,
|
| 272 |
+
"grad_norm": 0.1387410614743581,
|
| 273 |
+
"learning_rate": 4.0809968847352024e-05,
|
| 274 |
+
"loss": 0.3506,
|
| 275 |
+
"step": 190
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.638655462184874,
|
| 279 |
+
"grad_norm": 0.11966374174214205,
|
| 280 |
+
"learning_rate": 4.0420560747663556e-05,
|
| 281 |
+
"loss": 0.3547,
|
| 282 |
+
"step": 195
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.680672268907563,
|
| 286 |
+
"grad_norm": 0.13041047515525458,
|
| 287 |
+
"learning_rate": 4.003115264797508e-05,
|
| 288 |
+
"loss": 0.3551,
|
| 289 |
+
"step": 200
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.7226890756302522,
|
| 293 |
+
"grad_norm": 0.4175865240152316,
|
| 294 |
+
"learning_rate": 3.9641744548286606e-05,
|
| 295 |
+
"loss": 0.359,
|
| 296 |
+
"step": 205
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.7647058823529411,
|
| 300 |
+
"grad_norm": 0.12341307943053885,
|
| 301 |
+
"learning_rate": 3.925233644859813e-05,
|
| 302 |
+
"loss": 0.3509,
|
| 303 |
+
"step": 210
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.8067226890756303,
|
| 307 |
+
"grad_norm": 0.11938805910700397,
|
| 308 |
+
"learning_rate": 3.886292834890966e-05,
|
| 309 |
+
"loss": 0.353,
|
| 310 |
+
"step": 215
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.8487394957983194,
|
| 314 |
+
"grad_norm": 0.11924644124050648,
|
| 315 |
+
"learning_rate": 3.847352024922119e-05,
|
| 316 |
+
"loss": 0.3543,
|
| 317 |
+
"step": 220
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.8907563025210083,
|
| 321 |
+
"grad_norm": 0.1192046521417864,
|
| 322 |
+
"learning_rate": 3.808411214953271e-05,
|
| 323 |
+
"loss": 0.3459,
|
| 324 |
+
"step": 225
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.9327731092436975,
|
| 328 |
+
"grad_norm": 0.11198889670651223,
|
| 329 |
+
"learning_rate": 3.769470404984424e-05,
|
| 330 |
+
"loss": 0.3526,
|
| 331 |
+
"step": 230
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.9747899159663866,
|
| 335 |
+
"grad_norm": 0.11064392419307578,
|
| 336 |
+
"learning_rate": 3.730529595015577e-05,
|
| 337 |
+
"loss": 0.3481,
|
| 338 |
+
"step": 235
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.0168067226890756,
|
| 342 |
+
"grad_norm": 0.14955656421111635,
|
| 343 |
+
"learning_rate": 3.691588785046729e-05,
|
| 344 |
+
"loss": 0.334,
|
| 345 |
+
"step": 240
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 2.0588235294117645,
|
| 349 |
+
"grad_norm": 0.1352971990563673,
|
| 350 |
+
"learning_rate": 3.652647975077882e-05,
|
| 351 |
+
"loss": 0.3192,
|
| 352 |
+
"step": 245
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 2.100840336134454,
|
| 356 |
+
"grad_norm": 0.16599609164840282,
|
| 357 |
+
"learning_rate": 3.6137071651090344e-05,
|
| 358 |
+
"loss": 0.3164,
|
| 359 |
+
"step": 250
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.142857142857143,
|
| 363 |
+
"grad_norm": 0.13656518038762977,
|
| 364 |
+
"learning_rate": 3.574766355140187e-05,
|
| 365 |
+
"loss": 0.3124,
|
| 366 |
+
"step": 255
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.184873949579832,
|
| 370 |
+
"grad_norm": 0.13474455104744834,
|
| 371 |
+
"learning_rate": 3.5358255451713394e-05,
|
| 372 |
+
"loss": 0.3119,
|
| 373 |
+
"step": 260
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 2.226890756302521,
|
| 377 |
+
"grad_norm": 0.12821245064355621,
|
| 378 |
+
"learning_rate": 3.4968847352024926e-05,
|
| 379 |
+
"loss": 0.3168,
|
| 380 |
+
"step": 265
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.26890756302521,
|
| 384 |
+
"grad_norm": 0.13307269371542046,
|
| 385 |
+
"learning_rate": 3.457943925233645e-05,
|
| 386 |
+
"loss": 0.3192,
|
| 387 |
+
"step": 270
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.310924369747899,
|
| 391 |
+
"grad_norm": 0.14021981893226773,
|
| 392 |
+
"learning_rate": 3.4190031152647976e-05,
|
| 393 |
+
"loss": 0.3159,
|
| 394 |
+
"step": 275
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 2.3529411764705883,
|
| 398 |
+
"grad_norm": 0.13437639361334078,
|
| 399 |
+
"learning_rate": 3.38006230529595e-05,
|
| 400 |
+
"loss": 0.3123,
|
| 401 |
+
"step": 280
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 2.3949579831932772,
|
| 405 |
+
"grad_norm": 0.1326899305498554,
|
| 406 |
+
"learning_rate": 3.341121495327103e-05,
|
| 407 |
+
"loss": 0.3177,
|
| 408 |
+
"step": 285
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 2.4369747899159666,
|
| 412 |
+
"grad_norm": 0.12293267360959077,
|
| 413 |
+
"learning_rate": 3.302180685358255e-05,
|
| 414 |
+
"loss": 0.3159,
|
| 415 |
+
"step": 290
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 2.4789915966386555,
|
| 419 |
+
"grad_norm": 0.12467837886737294,
|
| 420 |
+
"learning_rate": 3.263239875389408e-05,
|
| 421 |
+
"loss": 0.3152,
|
| 422 |
+
"step": 295
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 2.5210084033613445,
|
| 426 |
+
"grad_norm": 0.1245503385101852,
|
| 427 |
+
"learning_rate": 3.224299065420561e-05,
|
| 428 |
+
"loss": 0.3172,
|
| 429 |
+
"step": 300
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 2.5630252100840334,
|
| 433 |
+
"grad_norm": 0.12135305650404841,
|
| 434 |
+
"learning_rate": 3.185358255451714e-05,
|
| 435 |
+
"loss": 0.3131,
|
| 436 |
+
"step": 305
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 2.6050420168067228,
|
| 440 |
+
"grad_norm": 0.1196869916735729,
|
| 441 |
+
"learning_rate": 3.146417445482866e-05,
|
| 442 |
+
"loss": 0.3131,
|
| 443 |
+
"step": 310
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.6470588235294117,
|
| 447 |
+
"grad_norm": 0.1422717014600059,
|
| 448 |
+
"learning_rate": 3.107476635514019e-05,
|
| 449 |
+
"loss": 0.3122,
|
| 450 |
+
"step": 315
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.689075630252101,
|
| 454 |
+
"grad_norm": 0.12049177418433844,
|
| 455 |
+
"learning_rate": 3.0685358255451714e-05,
|
| 456 |
+
"loss": 0.3118,
|
| 457 |
+
"step": 320
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 2.73109243697479,
|
| 461 |
+
"grad_norm": 0.1218866413247397,
|
| 462 |
+
"learning_rate": 3.0295950155763243e-05,
|
| 463 |
+
"loss": 0.3093,
|
| 464 |
+
"step": 325
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.773109243697479,
|
| 468 |
+
"grad_norm": 0.12128404985597208,
|
| 469 |
+
"learning_rate": 2.9906542056074764e-05,
|
| 470 |
+
"loss": 0.3149,
|
| 471 |
+
"step": 330
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.815126050420168,
|
| 475 |
+
"grad_norm": 0.12165521196292105,
|
| 476 |
+
"learning_rate": 2.9517133956386296e-05,
|
| 477 |
+
"loss": 0.3152,
|
| 478 |
+
"step": 335
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.857142857142857,
|
| 482 |
+
"grad_norm": 0.11968176603091883,
|
| 483 |
+
"learning_rate": 2.9127725856697818e-05,
|
| 484 |
+
"loss": 0.3065,
|
| 485 |
+
"step": 340
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.899159663865546,
|
| 489 |
+
"grad_norm": 0.13174397154227724,
|
| 490 |
+
"learning_rate": 2.873831775700935e-05,
|
| 491 |
+
"loss": 0.3161,
|
| 492 |
+
"step": 345
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.9411764705882355,
|
| 496 |
+
"grad_norm": 0.12078966649058866,
|
| 497 |
+
"learning_rate": 2.834890965732087e-05,
|
| 498 |
+
"loss": 0.3143,
|
| 499 |
+
"step": 350
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.9831932773109244,
|
| 503 |
+
"grad_norm": 0.12196146741006934,
|
| 504 |
+
"learning_rate": 2.79595015576324e-05,
|
| 505 |
+
"loss": 0.32,
|
| 506 |
+
"step": 355
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 3.0252100840336134,
|
| 510 |
+
"grad_norm": 0.22204914838949716,
|
| 511 |
+
"learning_rate": 2.7570093457943924e-05,
|
| 512 |
+
"loss": 0.2892,
|
| 513 |
+
"step": 360
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 3.0672268907563027,
|
| 517 |
+
"grad_norm": 0.17224639019450644,
|
| 518 |
+
"learning_rate": 2.7180685358255453e-05,
|
| 519 |
+
"loss": 0.2803,
|
| 520 |
+
"step": 365
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 3.1092436974789917,
|
| 524 |
+
"grad_norm": 0.12584678266855343,
|
| 525 |
+
"learning_rate": 2.6791277258566978e-05,
|
| 526 |
+
"loss": 0.2762,
|
| 527 |
+
"step": 370
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 3.1512605042016806,
|
| 531 |
+
"grad_norm": 0.14018543572816114,
|
| 532 |
+
"learning_rate": 2.6401869158878506e-05,
|
| 533 |
+
"loss": 0.2791,
|
| 534 |
+
"step": 375
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 3.19327731092437,
|
| 538 |
+
"grad_norm": 0.12941623347853976,
|
| 539 |
+
"learning_rate": 2.601246105919003e-05,
|
| 540 |
+
"loss": 0.2749,
|
| 541 |
+
"step": 380
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 3.235294117647059,
|
| 545 |
+
"grad_norm": 0.12194288998302227,
|
| 546 |
+
"learning_rate": 2.562305295950156e-05,
|
| 547 |
+
"loss": 0.2803,
|
| 548 |
+
"step": 385
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 3.277310924369748,
|
| 552 |
+
"grad_norm": 0.12446866234019027,
|
| 553 |
+
"learning_rate": 2.5233644859813084e-05,
|
| 554 |
+
"loss": 0.2805,
|
| 555 |
+
"step": 390
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 3.3193277310924367,
|
| 559 |
+
"grad_norm": 0.12351722292105845,
|
| 560 |
+
"learning_rate": 2.4844236760124613e-05,
|
| 561 |
+
"loss": 0.2771,
|
| 562 |
+
"step": 395
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 3.361344537815126,
|
| 566 |
+
"grad_norm": 0.12653348786860177,
|
| 567 |
+
"learning_rate": 2.4454828660436138e-05,
|
| 568 |
+
"loss": 0.2781,
|
| 569 |
+
"step": 400
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 3.403361344537815,
|
| 573 |
+
"grad_norm": 0.13084716393704046,
|
| 574 |
+
"learning_rate": 2.4065420560747666e-05,
|
| 575 |
+
"loss": 0.2782,
|
| 576 |
+
"step": 405
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 3.4453781512605044,
|
| 580 |
+
"grad_norm": 0.12386845332574656,
|
| 581 |
+
"learning_rate": 2.367601246105919e-05,
|
| 582 |
+
"loss": 0.2789,
|
| 583 |
+
"step": 410
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 3.4873949579831933,
|
| 587 |
+
"grad_norm": 0.12966375682019396,
|
| 588 |
+
"learning_rate": 2.3286604361370716e-05,
|
| 589 |
+
"loss": 0.2859,
|
| 590 |
+
"step": 415
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 3.5294117647058822,
|
| 594 |
+
"grad_norm": 0.1244203255643183,
|
| 595 |
+
"learning_rate": 2.2897196261682244e-05,
|
| 596 |
+
"loss": 0.2808,
|
| 597 |
+
"step": 420
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 3.571428571428571,
|
| 601 |
+
"grad_norm": 0.12741940430874554,
|
| 602 |
+
"learning_rate": 2.250778816199377e-05,
|
| 603 |
+
"loss": 0.2787,
|
| 604 |
+
"step": 425
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 3.6134453781512605,
|
| 608 |
+
"grad_norm": 0.13192944689673486,
|
| 609 |
+
"learning_rate": 2.2118380062305298e-05,
|
| 610 |
+
"loss": 0.2844,
|
| 611 |
+
"step": 430
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 3.6554621848739495,
|
| 615 |
+
"grad_norm": 0.12331528955859135,
|
| 616 |
+
"learning_rate": 2.1728971962616822e-05,
|
| 617 |
+
"loss": 0.2825,
|
| 618 |
+
"step": 435
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 3.697478991596639,
|
| 622 |
+
"grad_norm": 0.13313354832203048,
|
| 623 |
+
"learning_rate": 2.133956386292835e-05,
|
| 624 |
+
"loss": 0.2816,
|
| 625 |
+
"step": 440
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 3.7394957983193278,
|
| 629 |
+
"grad_norm": 0.13549454769327543,
|
| 630 |
+
"learning_rate": 2.0950155763239876e-05,
|
| 631 |
+
"loss": 0.2817,
|
| 632 |
+
"step": 445
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 3.7815126050420167,
|
| 636 |
+
"grad_norm": 0.11803733674337212,
|
| 637 |
+
"learning_rate": 2.05607476635514e-05,
|
| 638 |
+
"loss": 0.28,
|
| 639 |
+
"step": 450
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 3.8235294117647056,
|
| 643 |
+
"grad_norm": 0.12012685963323684,
|
| 644 |
+
"learning_rate": 2.017133956386293e-05,
|
| 645 |
+
"loss": 0.2832,
|
| 646 |
+
"step": 455
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 3.865546218487395,
|
| 650 |
+
"grad_norm": 0.11875060997630844,
|
| 651 |
+
"learning_rate": 1.9781931464174454e-05,
|
| 652 |
+
"loss": 0.2806,
|
| 653 |
+
"step": 460
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 3.907563025210084,
|
| 657 |
+
"grad_norm": 0.13503311291347644,
|
| 658 |
+
"learning_rate": 1.9392523364485982e-05,
|
| 659 |
+
"loss": 0.2857,
|
| 660 |
+
"step": 465
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 3.9495798319327733,
|
| 664 |
+
"grad_norm": 0.13899315092229172,
|
| 665 |
+
"learning_rate": 1.9003115264797507e-05,
|
| 666 |
+
"loss": 0.2819,
|
| 667 |
+
"step": 470
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 3.991596638655462,
|
| 671 |
+
"grad_norm": 0.12553466656260837,
|
| 672 |
+
"learning_rate": 1.8613707165109036e-05,
|
| 673 |
+
"loss": 0.2781,
|
| 674 |
+
"step": 475
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 4.033613445378151,
|
| 678 |
+
"grad_norm": 0.2047499500117637,
|
| 679 |
+
"learning_rate": 1.822429906542056e-05,
|
| 680 |
+
"loss": 0.2559,
|
| 681 |
+
"step": 480
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 4.07563025210084,
|
| 685 |
+
"grad_norm": 0.16423755258674735,
|
| 686 |
+
"learning_rate": 1.7834890965732086e-05,
|
| 687 |
+
"loss": 0.2558,
|
| 688 |
+
"step": 485
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 4.117647058823529,
|
| 692 |
+
"grad_norm": 0.1348676429167651,
|
| 693 |
+
"learning_rate": 1.7445482866043614e-05,
|
| 694 |
+
"loss": 0.2527,
|
| 695 |
+
"step": 490
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 4.159663865546219,
|
| 699 |
+
"grad_norm": 0.14533312788167388,
|
| 700 |
+
"learning_rate": 1.705607476635514e-05,
|
| 701 |
+
"loss": 0.251,
|
| 702 |
+
"step": 495
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 4.201680672268908,
|
| 706 |
+
"grad_norm": 0.12637560985053983,
|
| 707 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 708 |
+
"loss": 0.2519,
|
| 709 |
+
"step": 500
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 4.243697478991597,
|
| 713 |
+
"grad_norm": 0.12843775741491584,
|
| 714 |
+
"learning_rate": 1.6277258566978192e-05,
|
| 715 |
+
"loss": 0.2497,
|
| 716 |
+
"step": 505
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 4.285714285714286,
|
| 720 |
+
"grad_norm": 0.12903589040675842,
|
| 721 |
+
"learning_rate": 1.588785046728972e-05,
|
| 722 |
+
"loss": 0.2493,
|
| 723 |
+
"step": 510
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 4.3277310924369745,
|
| 727 |
+
"grad_norm": 0.1265086519312201,
|
| 728 |
+
"learning_rate": 1.5498442367601246e-05,
|
| 729 |
+
"loss": 0.2478,
|
| 730 |
+
"step": 515
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 4.369747899159664,
|
| 734 |
+
"grad_norm": 0.12474752965681195,
|
| 735 |
+
"learning_rate": 1.5109034267912772e-05,
|
| 736 |
+
"loss": 0.2552,
|
| 737 |
+
"step": 520
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 4.411764705882353,
|
| 741 |
+
"grad_norm": 0.12276341594269388,
|
| 742 |
+
"learning_rate": 1.4719626168224299e-05,
|
| 743 |
+
"loss": 0.2566,
|
| 744 |
+
"step": 525
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 4.453781512605042,
|
| 748 |
+
"grad_norm": 0.12799056315008822,
|
| 749 |
+
"learning_rate": 1.4330218068535826e-05,
|
| 750 |
+
"loss": 0.2544,
|
| 751 |
+
"step": 530
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 4.495798319327731,
|
| 755 |
+
"grad_norm": 0.1235959721069884,
|
| 756 |
+
"learning_rate": 1.394080996884735e-05,
|
| 757 |
+
"loss": 0.2573,
|
| 758 |
+
"step": 535
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 4.53781512605042,
|
| 762 |
+
"grad_norm": 0.12737316017685743,
|
| 763 |
+
"learning_rate": 1.3551401869158877e-05,
|
| 764 |
+
"loss": 0.251,
|
| 765 |
+
"step": 540
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 4.579831932773109,
|
| 769 |
+
"grad_norm": 0.12455494002416401,
|
| 770 |
+
"learning_rate": 1.3161993769470404e-05,
|
| 771 |
+
"loss": 0.2472,
|
| 772 |
+
"step": 545
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 4.621848739495798,
|
| 776 |
+
"grad_norm": 0.12200067774607738,
|
| 777 |
+
"learning_rate": 1.277258566978193e-05,
|
| 778 |
+
"loss": 0.2512,
|
| 779 |
+
"step": 550
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 4.663865546218488,
|
| 783 |
+
"grad_norm": 0.14205343587283586,
|
| 784 |
+
"learning_rate": 1.2383177570093459e-05,
|
| 785 |
+
"loss": 0.2518,
|
| 786 |
+
"step": 555
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 4.705882352941177,
|
| 790 |
+
"grad_norm": 0.12216097165620664,
|
| 791 |
+
"learning_rate": 1.1993769470404986e-05,
|
| 792 |
+
"loss": 0.252,
|
| 793 |
+
"step": 560
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 4.7478991596638656,
|
| 797 |
+
"grad_norm": 0.12513180450823716,
|
| 798 |
+
"learning_rate": 1.160436137071651e-05,
|
| 799 |
+
"loss": 0.2585,
|
| 800 |
+
"step": 565
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 4.7899159663865545,
|
| 804 |
+
"grad_norm": 0.12156552612032653,
|
| 805 |
+
"learning_rate": 1.1214953271028037e-05,
|
| 806 |
+
"loss": 0.2543,
|
| 807 |
+
"step": 570
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 4.831932773109243,
|
| 811 |
+
"grad_norm": 0.12936785318700886,
|
| 812 |
+
"learning_rate": 1.0825545171339564e-05,
|
| 813 |
+
"loss": 0.2511,
|
| 814 |
+
"step": 575
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 4.873949579831933,
|
| 818 |
+
"grad_norm": 0.12602274784345757,
|
| 819 |
+
"learning_rate": 1.043613707165109e-05,
|
| 820 |
+
"loss": 0.2514,
|
| 821 |
+
"step": 580
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 4.915966386554622,
|
| 825 |
+
"grad_norm": 0.16613194488301022,
|
| 826 |
+
"learning_rate": 1.0046728971962617e-05,
|
| 827 |
+
"loss": 0.2507,
|
| 828 |
+
"step": 585
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 4.957983193277311,
|
| 832 |
+
"grad_norm": 0.12043993253574951,
|
| 833 |
+
"learning_rate": 9.657320872274144e-06,
|
| 834 |
+
"loss": 0.2524,
|
| 835 |
+
"step": 590
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 5.0,
|
| 839 |
+
"grad_norm": 0.1359154617198902,
|
| 840 |
+
"learning_rate": 9.267912772585669e-06,
|
| 841 |
+
"loss": 0.2525,
|
| 842 |
+
"step": 595
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 5.042016806722689,
|
| 846 |
+
"grad_norm": 0.1645526234919548,
|
| 847 |
+
"learning_rate": 8.878504672897196e-06,
|
| 848 |
+
"loss": 0.2349,
|
| 849 |
+
"step": 600
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 5.084033613445378,
|
| 853 |
+
"grad_norm": 0.13565331505255587,
|
| 854 |
+
"learning_rate": 8.489096573208722e-06,
|
| 855 |
+
"loss": 0.226,
|
| 856 |
+
"step": 605
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 5.126050420168067,
|
| 860 |
+
"grad_norm": 0.12112957276832616,
|
| 861 |
+
"learning_rate": 8.099688473520249e-06,
|
| 862 |
+
"loss": 0.2323,
|
| 863 |
+
"step": 610
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 5.168067226890757,
|
| 867 |
+
"grad_norm": 0.13228103496620836,
|
| 868 |
+
"learning_rate": 7.710280373831776e-06,
|
| 869 |
+
"loss": 0.2333,
|
| 870 |
+
"step": 615
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 5.2100840336134455,
|
| 874 |
+
"grad_norm": 0.12755621341157677,
|
| 875 |
+
"learning_rate": 7.3208722741433015e-06,
|
| 876 |
+
"loss": 0.2281,
|
| 877 |
+
"step": 620
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 5.2521008403361344,
|
| 881 |
+
"grad_norm": 0.13414945242875928,
|
| 882 |
+
"learning_rate": 6.931464174454828e-06,
|
| 883 |
+
"loss": 0.2321,
|
| 884 |
+
"step": 625
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 5.294117647058823,
|
| 888 |
+
"grad_norm": 0.12052434335169325,
|
| 889 |
+
"learning_rate": 6.542056074766355e-06,
|
| 890 |
+
"loss": 0.2349,
|
| 891 |
+
"step": 630
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 5.336134453781512,
|
| 895 |
+
"grad_norm": 0.1251627138575762,
|
| 896 |
+
"learning_rate": 6.1526479750778815e-06,
|
| 897 |
+
"loss": 0.2343,
|
| 898 |
+
"step": 635
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 5.378151260504202,
|
| 902 |
+
"grad_norm": 0.1269368352207133,
|
| 903 |
+
"learning_rate": 5.763239875389408e-06,
|
| 904 |
+
"loss": 0.2336,
|
| 905 |
+
"step": 640
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 5.420168067226891,
|
| 909 |
+
"grad_norm": 0.12304767267974673,
|
| 910 |
+
"learning_rate": 5.373831775700935e-06,
|
| 911 |
+
"loss": 0.2279,
|
| 912 |
+
"step": 645
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 5.46218487394958,
|
| 916 |
+
"grad_norm": 0.12126938306506918,
|
| 917 |
+
"learning_rate": 4.9844236760124615e-06,
|
| 918 |
+
"loss": 0.2325,
|
| 919 |
+
"step": 650
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 5.504201680672269,
|
| 923 |
+
"grad_norm": 0.12430095329916237,
|
| 924 |
+
"learning_rate": 4.595015576323987e-06,
|
| 925 |
+
"loss": 0.2308,
|
| 926 |
+
"step": 655
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 5.546218487394958,
|
| 930 |
+
"grad_norm": 0.12206854649940266,
|
| 931 |
+
"learning_rate": 4.205607476635514e-06,
|
| 932 |
+
"loss": 0.2303,
|
| 933 |
+
"step": 660
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 5.588235294117647,
|
| 937 |
+
"grad_norm": 0.12336264199284398,
|
| 938 |
+
"learning_rate": 3.816199376947041e-06,
|
| 939 |
+
"loss": 0.2339,
|
| 940 |
+
"step": 665
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 5.630252100840336,
|
| 944 |
+
"grad_norm": 0.11965482655647582,
|
| 945 |
+
"learning_rate": 3.426791277258567e-06,
|
| 946 |
+
"loss": 0.2303,
|
| 947 |
+
"step": 670
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 5.6722689075630255,
|
| 951 |
+
"grad_norm": 0.11594681549175202,
|
| 952 |
+
"learning_rate": 3.0373831775700936e-06,
|
| 953 |
+
"loss": 0.2288,
|
| 954 |
+
"step": 675
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 5.714285714285714,
|
| 958 |
+
"grad_norm": 0.1194663204669251,
|
| 959 |
+
"learning_rate": 2.64797507788162e-06,
|
| 960 |
+
"loss": 0.2334,
|
| 961 |
+
"step": 680
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 5.756302521008403,
|
| 965 |
+
"grad_norm": 0.11767398574784753,
|
| 966 |
+
"learning_rate": 2.2585669781931465e-06,
|
| 967 |
+
"loss": 0.231,
|
| 968 |
+
"step": 685
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 5.798319327731092,
|
| 972 |
+
"grad_norm": 0.11390297708321843,
|
| 973 |
+
"learning_rate": 1.8691588785046728e-06,
|
| 974 |
+
"loss": 0.2344,
|
| 975 |
+
"step": 690
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 5.840336134453781,
|
| 979 |
+
"grad_norm": 0.12442153502768896,
|
| 980 |
+
"learning_rate": 1.4797507788161994e-06,
|
| 981 |
+
"loss": 0.2334,
|
| 982 |
+
"step": 695
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 5.882352941176471,
|
| 986 |
+
"grad_norm": 0.11827825723525778,
|
| 987 |
+
"learning_rate": 1.0903426791277259e-06,
|
| 988 |
+
"loss": 0.2334,
|
| 989 |
+
"step": 700
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 5.92436974789916,
|
| 993 |
+
"grad_norm": 0.12132650089651566,
|
| 994 |
+
"learning_rate": 7.009345794392523e-07,
|
| 995 |
+
"loss": 0.2351,
|
| 996 |
+
"step": 705
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 5.966386554621849,
|
| 1000 |
+
"grad_norm": 0.11532246430168183,
|
| 1001 |
+
"learning_rate": 3.1152647975077885e-07,
|
| 1002 |
+
"loss": 0.2337,
|
| 1003 |
+
"step": 710
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 6.0,
|
| 1007 |
+
"step": 714,
|
| 1008 |
+
"total_flos": 2.5527473493612954e+17,
|
| 1009 |
+
"train_loss": 0.3212856304745714,
|
| 1010 |
+
"train_runtime": 7845.5794,
|
| 1011 |
+
"train_samples_per_second": 1.451,
|
| 1012 |
+
"train_steps_per_second": 0.091
|
| 1013 |
+
}
|
| 1014 |
+
],
|
| 1015 |
+
"logging_steps": 5,
|
| 1016 |
+
"max_steps": 714,
|
| 1017 |
+
"num_input_tokens_seen": 0,
|
| 1018 |
+
"num_train_epochs": 6,
|
| 1019 |
+
"save_steps": 500,
|
| 1020 |
+
"stateful_callbacks": {
|
| 1021 |
+
"TrainerControl": {
|
| 1022 |
+
"args": {
|
| 1023 |
+
"should_epoch_stop": false,
|
| 1024 |
+
"should_evaluate": false,
|
| 1025 |
+
"should_log": false,
|
| 1026 |
+
"should_save": true,
|
| 1027 |
+
"should_training_stop": true
|
| 1028 |
+
},
|
| 1029 |
+
"attributes": {}
|
| 1030 |
+
}
|
| 1031 |
+
},
|
| 1032 |
+
"total_flos": 2.5527473493612954e+17,
|
| 1033 |
+
"train_batch_size": 1,
|
| 1034 |
+
"trial_name": null,
|
| 1035 |
+
"trial_params": null
|
| 1036 |
+
}
|