Model save
Browse files- .gitattributes +1 -0
- README.md +58 -0
- added_tokens.json +24 -0
- all_results.json +9 -0
- config.json +29 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +25 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +9 -0
- trainer_state.json +1035 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
| 3 |
+
library_name: transformers
|
| 4 |
+
model_name: Qwen2.5-1.5B-Open-R1-Distill
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
- trl
|
| 8 |
+
- sft
|
| 9 |
+
licence: license
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Qwen2.5-1.5B-Open-R1-Distill
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-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="bushou/Qwen2.5-1.5B-Open-R1-Distill", 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/mmsurv/huggingface/runs/dcwfnyw9)
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
This model was trained with SFT.
|
| 34 |
+
|
| 35 |
+
### Framework versions
|
| 36 |
+
|
| 37 |
+
- TRL: 0.15.0.dev0
|
| 38 |
+
- Transformers: 4.49.0.dev0
|
| 39 |
+
- Pytorch: 2.5.1
|
| 40 |
+
- Datasets: 3.2.0
|
| 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 |
+
```
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.999259807549963,
|
| 3 |
+
"total_flos": 76888336760832.0,
|
| 4 |
+
"train_loss": 0.7675520939297146,
|
| 5 |
+
"train_runtime": 4819.1398,
|
| 6 |
+
"train_samples": 16610,
|
| 7 |
+
"train_samples_per_second": 4.484,
|
| 8 |
+
"train_steps_per_second": 0.14
|
| 9 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 1536,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 8960,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"max_window_layers": 21,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 12,
|
| 17 |
+
"num_hidden_layers": 28,
|
| 18 |
+
"num_key_value_heads": 2,
|
| 19 |
+
"rms_norm_eps": 1e-06,
|
| 20 |
+
"rope_scaling": null,
|
| 21 |
+
"rope_theta": 1000000.0,
|
| 22 |
+
"sliding_window": null,
|
| 23 |
+
"tie_word_embeddings": true,
|
| 24 |
+
"torch_dtype": "bfloat16",
|
| 25 |
+
"transformers_version": "4.49.0.dev0",
|
| 26 |
+
"use_cache": false,
|
| 27 |
+
"use_sliding_window": false,
|
| 28 |
+
"vocab_size": 151936
|
| 29 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.1,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.49.0.dev0"
|
| 14 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:981504356c73277c331cd201a1ef08740f4b8ff1372215760135c021b5718079
|
| 3 |
+
size 3087467144
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|im_end|>"
|
| 25 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 131072,
|
| 204 |
+
"pad_token": "<|im_end|>",
|
| 205 |
+
"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.999259807549963,
|
| 3 |
+
"total_flos": 76888336760832.0,
|
| 4 |
+
"train_loss": 0.7675520939297146,
|
| 5 |
+
"train_runtime": 4819.1398,
|
| 6 |
+
"train_samples": 16610,
|
| 7 |
+
"train_samples_per_second": 4.484,
|
| 8 |
+
"train_steps_per_second": 0.14
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1035 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.999259807549963,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 675,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.007401924500370096,
|
| 13 |
+
"grad_norm": 2.6711983870524056,
|
| 14 |
+
"learning_rate": 1.4705882352941177e-06,
|
| 15 |
+
"loss": 1.0786,
|
| 16 |
+
"step": 5
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.014803849000740192,
|
| 20 |
+
"grad_norm": 2.2850429898049907,
|
| 21 |
+
"learning_rate": 2.9411764705882355e-06,
|
| 22 |
+
"loss": 1.0901,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.02220577350111029,
|
| 27 |
+
"grad_norm": 1.4164101597454035,
|
| 28 |
+
"learning_rate": 4.411764705882353e-06,
|
| 29 |
+
"loss": 1.062,
|
| 30 |
+
"step": 15
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.029607698001480384,
|
| 34 |
+
"grad_norm": 1.3745187579444922,
|
| 35 |
+
"learning_rate": 5.882352941176471e-06,
|
| 36 |
+
"loss": 1.0087,
|
| 37 |
+
"step": 20
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.037009622501850484,
|
| 41 |
+
"grad_norm": 1.1121622604345802,
|
| 42 |
+
"learning_rate": 7.352941176470589e-06,
|
| 43 |
+
"loss": 0.9684,
|
| 44 |
+
"step": 25
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.04441154700222058,
|
| 48 |
+
"grad_norm": 0.9508871498106621,
|
| 49 |
+
"learning_rate": 8.823529411764707e-06,
|
| 50 |
+
"loss": 0.9216,
|
| 51 |
+
"step": 30
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.05181347150259067,
|
| 55 |
+
"grad_norm": 0.7596309946374104,
|
| 56 |
+
"learning_rate": 1.0294117647058823e-05,
|
| 57 |
+
"loss": 0.8858,
|
| 58 |
+
"step": 35
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.05921539600296077,
|
| 62 |
+
"grad_norm": 0.6887627241116573,
|
| 63 |
+
"learning_rate": 1.1764705882352942e-05,
|
| 64 |
+
"loss": 0.8631,
|
| 65 |
+
"step": 40
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.06661732050333087,
|
| 69 |
+
"grad_norm": 0.7462108328677874,
|
| 70 |
+
"learning_rate": 1.323529411764706e-05,
|
| 71 |
+
"loss": 0.8486,
|
| 72 |
+
"step": 45
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.07401924500370097,
|
| 76 |
+
"grad_norm": 0.8183224452124802,
|
| 77 |
+
"learning_rate": 1.4705882352941179e-05,
|
| 78 |
+
"loss": 0.861,
|
| 79 |
+
"step": 50
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.08142116950407106,
|
| 83 |
+
"grad_norm": 0.624336375155499,
|
| 84 |
+
"learning_rate": 1.6176470588235296e-05,
|
| 85 |
+
"loss": 0.8546,
|
| 86 |
+
"step": 55
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.08882309400444116,
|
| 90 |
+
"grad_norm": 0.7318163733327753,
|
| 91 |
+
"learning_rate": 1.7647058823529414e-05,
|
| 92 |
+
"loss": 0.8293,
|
| 93 |
+
"step": 60
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.09622501850481126,
|
| 97 |
+
"grad_norm": 0.6829238922108138,
|
| 98 |
+
"learning_rate": 1.911764705882353e-05,
|
| 99 |
+
"loss": 0.8259,
|
| 100 |
+
"step": 65
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.10362694300518134,
|
| 104 |
+
"grad_norm": 0.7705436640022516,
|
| 105 |
+
"learning_rate": 1.9999464266898485e-05,
|
| 106 |
+
"loss": 0.821,
|
| 107 |
+
"step": 70
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.11102886750555144,
|
| 111 |
+
"grad_norm": 0.9662677211066796,
|
| 112 |
+
"learning_rate": 1.9993437928712977e-05,
|
| 113 |
+
"loss": 0.8164,
|
| 114 |
+
"step": 75
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.11843079200592153,
|
| 118 |
+
"grad_norm": 0.8221071092928778,
|
| 119 |
+
"learning_rate": 1.998071963486563e-05,
|
| 120 |
+
"loss": 0.8061,
|
| 121 |
+
"step": 80
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.12583271650629163,
|
| 125 |
+
"grad_norm": 0.6591697934160696,
|
| 126 |
+
"learning_rate": 1.9961317901970953e-05,
|
| 127 |
+
"loss": 0.7946,
|
| 128 |
+
"step": 85
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.13323464100666174,
|
| 132 |
+
"grad_norm": 0.754203028620329,
|
| 133 |
+
"learning_rate": 1.993524572210807e-05,
|
| 134 |
+
"loss": 0.7946,
|
| 135 |
+
"step": 90
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.14063656550703182,
|
| 139 |
+
"grad_norm": 0.8039153662244777,
|
| 140 |
+
"learning_rate": 1.990252055412077e-05,
|
| 141 |
+
"loss": 0.7905,
|
| 142 |
+
"step": 95
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.14803849000740193,
|
| 146 |
+
"grad_norm": 0.781165214016037,
|
| 147 |
+
"learning_rate": 1.9863164311926433e-05,
|
| 148 |
+
"loss": 0.8172,
|
| 149 |
+
"step": 100
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.14803849000740193,
|
| 153 |
+
"eval_loss": 0.8197938203811646,
|
| 154 |
+
"eval_runtime": 7.0716,
|
| 155 |
+
"eval_samples_per_second": 18.101,
|
| 156 |
+
"eval_steps_per_second": 2.263,
|
| 157 |
+
"step": 100
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.15544041450777202,
|
| 161 |
+
"grad_norm": 0.7152532780522096,
|
| 162 |
+
"learning_rate": 1.981720334984174e-05,
|
| 163 |
+
"loss": 0.7922,
|
| 164 |
+
"step": 105
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.16284233900814213,
|
| 168 |
+
"grad_norm": 0.7112781720919623,
|
| 169 |
+
"learning_rate": 1.9764668444934853e-05,
|
| 170 |
+
"loss": 0.7859,
|
| 171 |
+
"step": 110
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.1702442635085122,
|
| 175 |
+
"grad_norm": 0.7230408660226788,
|
| 176 |
+
"learning_rate": 1.970559477641606e-05,
|
| 177 |
+
"loss": 0.7631,
|
| 178 |
+
"step": 115
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.17764618800888232,
|
| 182 |
+
"grad_norm": 0.740098112673674,
|
| 183 |
+
"learning_rate": 1.9640021902080523e-05,
|
| 184 |
+
"loss": 0.793,
|
| 185 |
+
"step": 120
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.1850481125092524,
|
| 189 |
+
"grad_norm": 0.6292091634572502,
|
| 190 |
+
"learning_rate": 1.9567993731818988e-05,
|
| 191 |
+
"loss": 0.7915,
|
| 192 |
+
"step": 125
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.19245003700962252,
|
| 196 |
+
"grad_norm": 0.7449842900907743,
|
| 197 |
+
"learning_rate": 1.9489558498214197e-05,
|
| 198 |
+
"loss": 0.7843,
|
| 199 |
+
"step": 130
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.1998519615099926,
|
| 203 |
+
"grad_norm": 0.6522957401073987,
|
| 204 |
+
"learning_rate": 1.9404768724242667e-05,
|
| 205 |
+
"loss": 0.7703,
|
| 206 |
+
"step": 135
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.20725388601036268,
|
| 210 |
+
"grad_norm": 0.7270180074164395,
|
| 211 |
+
"learning_rate": 1.931368118810346e-05,
|
| 212 |
+
"loss": 0.7946,
|
| 213 |
+
"step": 140
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.2146558105107328,
|
| 217 |
+
"grad_norm": 0.7449701767462928,
|
| 218 |
+
"learning_rate": 1.92163568851975e-05,
|
| 219 |
+
"loss": 0.7757,
|
| 220 |
+
"step": 145
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.22205773501110287,
|
| 224 |
+
"grad_norm": 0.8040526421185312,
|
| 225 |
+
"learning_rate": 1.911286098728296e-05,
|
| 226 |
+
"loss": 0.772,
|
| 227 |
+
"step": 150
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.22945965951147299,
|
| 231 |
+
"grad_norm": 0.6985006196832154,
|
| 232 |
+
"learning_rate": 1.900326279883392e-05,
|
| 233 |
+
"loss": 0.8015,
|
| 234 |
+
"step": 155
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.23686158401184307,
|
| 238 |
+
"grad_norm": 0.7076271931589052,
|
| 239 |
+
"learning_rate": 1.8887635710631716e-05,
|
| 240 |
+
"loss": 0.8046,
|
| 241 |
+
"step": 160
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.24426350851221318,
|
| 245 |
+
"grad_norm": 0.6971259985896139,
|
| 246 |
+
"learning_rate": 1.8766057150619865e-05,
|
| 247 |
+
"loss": 0.7776,
|
| 248 |
+
"step": 165
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.25166543301258326,
|
| 252 |
+
"grad_norm": 0.7076194420512543,
|
| 253 |
+
"learning_rate": 1.8638608532055635e-05,
|
| 254 |
+
"loss": 0.7948,
|
| 255 |
+
"step": 170
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.25906735751295334,
|
| 259 |
+
"grad_norm": 0.6632786419003115,
|
| 260 |
+
"learning_rate": 1.8505375198992856e-05,
|
| 261 |
+
"loss": 0.7831,
|
| 262 |
+
"step": 175
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.2664692820133235,
|
| 266 |
+
"grad_norm": 0.721096344753536,
|
| 267 |
+
"learning_rate": 1.836644636913258e-05,
|
| 268 |
+
"loss": 0.7542,
|
| 269 |
+
"step": 180
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.27387120651369357,
|
| 273 |
+
"grad_norm": 0.7757218802191107,
|
| 274 |
+
"learning_rate": 1.8221915074079764e-05,
|
| 275 |
+
"loss": 0.7778,
|
| 276 |
+
"step": 185
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.28127313101406365,
|
| 280 |
+
"grad_norm": 0.8616930044863143,
|
| 281 |
+
"learning_rate": 1.8071878097046064e-05,
|
| 282 |
+
"loss": 0.7563,
|
| 283 |
+
"step": 190
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.28867505551443373,
|
| 287 |
+
"grad_norm": 0.6334483796106015,
|
| 288 |
+
"learning_rate": 1.7916435908040413e-05,
|
| 289 |
+
"loss": 0.7724,
|
| 290 |
+
"step": 195
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.29607698001480387,
|
| 294 |
+
"grad_norm": 0.6518461677157017,
|
| 295 |
+
"learning_rate": 1.7755692596590778e-05,
|
| 296 |
+
"loss": 0.7745,
|
| 297 |
+
"step": 200
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.29607698001480387,
|
| 301 |
+
"eval_loss": 0.7899715900421143,
|
| 302 |
+
"eval_runtime": 7.0684,
|
| 303 |
+
"eval_samples_per_second": 18.109,
|
| 304 |
+
"eval_steps_per_second": 2.264,
|
| 305 |
+
"step": 200
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 0.30347890451517395,
|
| 309 |
+
"grad_norm": 0.7017860070843315,
|
| 310 |
+
"learning_rate": 1.7589755802042188e-05,
|
| 311 |
+
"loss": 0.7731,
|
| 312 |
+
"step": 205
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 0.31088082901554404,
|
| 316 |
+
"grad_norm": 0.6904991065029692,
|
| 317 |
+
"learning_rate": 1.7418736641477636e-05,
|
| 318 |
+
"loss": 0.7562,
|
| 319 |
+
"step": 210
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.3182827535159141,
|
| 323 |
+
"grad_norm": 0.6275148924891102,
|
| 324 |
+
"learning_rate": 1.7242749635310222e-05,
|
| 325 |
+
"loss": 0.758,
|
| 326 |
+
"step": 215
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.32568467801628426,
|
| 330 |
+
"grad_norm": 0.6587580564442483,
|
| 331 |
+
"learning_rate": 1.7061912630596252e-05,
|
| 332 |
+
"loss": 0.7605,
|
| 333 |
+
"step": 220
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 0.33308660251665434,
|
| 337 |
+
"grad_norm": 0.7198577935496436,
|
| 338 |
+
"learning_rate": 1.6876346722120747e-05,
|
| 339 |
+
"loss": 0.7752,
|
| 340 |
+
"step": 225
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 0.3404885270170244,
|
| 344 |
+
"grad_norm": 0.6958333507702643,
|
| 345 |
+
"learning_rate": 1.6686176171308125e-05,
|
| 346 |
+
"loss": 0.7977,
|
| 347 |
+
"step": 230
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.3478904515173945,
|
| 351 |
+
"grad_norm": 0.6724152701357283,
|
| 352 |
+
"learning_rate": 1.6491528323012412e-05,
|
| 353 |
+
"loss": 0.7596,
|
| 354 |
+
"step": 235
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.35529237601776464,
|
| 358 |
+
"grad_norm": 0.638858633828288,
|
| 359 |
+
"learning_rate": 1.6292533520242663e-05,
|
| 360 |
+
"loss": 0.7624,
|
| 361 |
+
"step": 240
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.3626943005181347,
|
| 365 |
+
"grad_norm": 0.6431148825387747,
|
| 366 |
+
"learning_rate": 1.6089325016880737e-05,
|
| 367 |
+
"loss": 0.7527,
|
| 368 |
+
"step": 245
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.3700962250185048,
|
| 372 |
+
"grad_norm": 0.6786290253539599,
|
| 373 |
+
"learning_rate": 1.588203888844982e-05,
|
| 374 |
+
"loss": 0.7681,
|
| 375 |
+
"step": 250
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.3774981495188749,
|
| 379 |
+
"grad_norm": 0.6412436561923461,
|
| 380 |
+
"learning_rate": 1.5670813940993504e-05,
|
| 381 |
+
"loss": 0.7409,
|
| 382 |
+
"step": 255
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.38490007401924503,
|
| 386 |
+
"grad_norm": 0.5934851423161538,
|
| 387 |
+
"learning_rate": 1.5455791618126407e-05,
|
| 388 |
+
"loss": 0.7332,
|
| 389 |
+
"step": 260
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.3923019985196151,
|
| 393 |
+
"grad_norm": 0.6287423337684374,
|
| 394 |
+
"learning_rate": 1.5237115906318565e-05,
|
| 395 |
+
"loss": 0.7571,
|
| 396 |
+
"step": 265
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.3997039230199852,
|
| 400 |
+
"grad_norm": 0.6583649676370655,
|
| 401 |
+
"learning_rate": 1.5014933238477069e-05,
|
| 402 |
+
"loss": 0.7378,
|
| 403 |
+
"step": 270
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.4071058475203553,
|
| 407 |
+
"grad_norm": 0.6894774111149516,
|
| 408 |
+
"learning_rate": 1.4789392395889468e-05,
|
| 409 |
+
"loss": 0.7631,
|
| 410 |
+
"step": 275
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.41450777202072536,
|
| 414 |
+
"grad_norm": 0.6464094457090966,
|
| 415 |
+
"learning_rate": 1.4560644408594602e-05,
|
| 416 |
+
"loss": 0.7439,
|
| 417 |
+
"step": 280
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.4219096965210955,
|
| 421 |
+
"grad_norm": 0.6611425021412513,
|
| 422 |
+
"learning_rate": 1.432884245424761e-05,
|
| 423 |
+
"loss": 0.7556,
|
| 424 |
+
"step": 285
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.4293116210214656,
|
| 428 |
+
"grad_norm": 0.6630113373342271,
|
| 429 |
+
"learning_rate": 1.4094141755546816e-05,
|
| 430 |
+
"loss": 0.7831,
|
| 431 |
+
"step": 290
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.43671354552183567,
|
| 435 |
+
"grad_norm": 0.6260601475890385,
|
| 436 |
+
"learning_rate": 1.3856699476291176e-05,
|
| 437 |
+
"loss": 0.7425,
|
| 438 |
+
"step": 295
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.44411547002220575,
|
| 442 |
+
"grad_norm": 0.6783000504772533,
|
| 443 |
+
"learning_rate": 1.3616674616137902e-05,
|
| 444 |
+
"loss": 0.7644,
|
| 445 |
+
"step": 300
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.44411547002220575,
|
| 449 |
+
"eval_loss": 0.7755021452903748,
|
| 450 |
+
"eval_runtime": 7.069,
|
| 451 |
+
"eval_samples_per_second": 18.107,
|
| 452 |
+
"eval_steps_per_second": 2.263,
|
| 453 |
+
"step": 300
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.4515173945225759,
|
| 457 |
+
"grad_norm": 0.6542622892237095,
|
| 458 |
+
"learning_rate": 1.3374227904130724e-05,
|
| 459 |
+
"loss": 0.7549,
|
| 460 |
+
"step": 305
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 0.45891931902294597,
|
| 464 |
+
"grad_norm": 0.6469269032098538,
|
| 465 |
+
"learning_rate": 1.3129521691070108e-05,
|
| 466 |
+
"loss": 0.7325,
|
| 467 |
+
"step": 310
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 0.46632124352331605,
|
| 471 |
+
"grad_norm": 0.719394700629109,
|
| 472 |
+
"learning_rate": 1.2882719840797473e-05,
|
| 473 |
+
"loss": 0.7513,
|
| 474 |
+
"step": 315
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.47372316802368614,
|
| 478 |
+
"grad_norm": 0.6863894097467634,
|
| 479 |
+
"learning_rate": 1.2633987620466229e-05,
|
| 480 |
+
"loss": 0.7353,
|
| 481 |
+
"step": 320
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.4811250925240563,
|
| 485 |
+
"grad_norm": 0.6306280609604339,
|
| 486 |
+
"learning_rate": 1.2383491589873122e-05,
|
| 487 |
+
"loss": 0.7405,
|
| 488 |
+
"step": 325
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 0.48852701702442636,
|
| 492 |
+
"grad_norm": 0.6102585875926645,
|
| 493 |
+
"learning_rate": 1.213139948992394e-05,
|
| 494 |
+
"loss": 0.7497,
|
| 495 |
+
"step": 330
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.49592894152479644,
|
| 499 |
+
"grad_norm": 0.7031905875380544,
|
| 500 |
+
"learning_rate": 1.187788013030837e-05,
|
| 501 |
+
"loss": 0.7467,
|
| 502 |
+
"step": 335
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 0.5033308660251665,
|
| 506 |
+
"grad_norm": 0.61376243967075,
|
| 507 |
+
"learning_rate": 1.1623103276459086e-05,
|
| 508 |
+
"loss": 0.7506,
|
| 509 |
+
"step": 340
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 0.5107327905255367,
|
| 513 |
+
"grad_norm": 0.6419232469607933,
|
| 514 |
+
"learning_rate": 1.1367239535870913e-05,
|
| 515 |
+
"loss": 0.7425,
|
| 516 |
+
"step": 345
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 0.5181347150259067,
|
| 520 |
+
"grad_norm": 0.6882955220689385,
|
| 521 |
+
"learning_rate": 1.1110460243856051e-05,
|
| 522 |
+
"loss": 0.7302,
|
| 523 |
+
"step": 350
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 0.5255366395262768,
|
| 527 |
+
"grad_norm": 0.6612307540611313,
|
| 528 |
+
"learning_rate": 1.085293734881197e-05,
|
| 529 |
+
"loss": 0.7468,
|
| 530 |
+
"step": 355
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 0.532938564026647,
|
| 534 |
+
"grad_norm": 0.6001245809915299,
|
| 535 |
+
"learning_rate": 1.0594843297078736e-05,
|
| 536 |
+
"loss": 0.7658,
|
| 537 |
+
"step": 360
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 0.540340488527017,
|
| 541 |
+
"grad_norm": 0.6909746665266651,
|
| 542 |
+
"learning_rate": 1.0336350917462925e-05,
|
| 543 |
+
"loss": 0.7557,
|
| 544 |
+
"step": 365
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 0.5477424130273871,
|
| 548 |
+
"grad_norm": 0.6054573158153876,
|
| 549 |
+
"learning_rate": 1.0077633305505402e-05,
|
| 550 |
+
"loss": 0.7433,
|
| 551 |
+
"step": 370
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 0.5551443375277573,
|
| 555 |
+
"grad_norm": 0.6301644127515204,
|
| 556 |
+
"learning_rate": 9.818863707570476e-06,
|
| 557 |
+
"loss": 0.7608,
|
| 558 |
+
"step": 375
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 0.5625462620281273,
|
| 562 |
+
"grad_norm": 0.6569705040647524,
|
| 563 |
+
"learning_rate": 9.560215404834094e-06,
|
| 564 |
+
"loss": 0.7514,
|
| 565 |
+
"step": 380
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 0.5699481865284974,
|
| 569 |
+
"grad_norm": 0.6362202129337399,
|
| 570 |
+
"learning_rate": 9.30186159724869e-06,
|
| 571 |
+
"loss": 0.7146,
|
| 572 |
+
"step": 385
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 0.5773501110288675,
|
| 576 |
+
"grad_norm": 0.6110859517886038,
|
| 577 |
+
"learning_rate": 9.043975287562443e-06,
|
| 578 |
+
"loss": 0.7471,
|
| 579 |
+
"step": 390
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.5847520355292376,
|
| 583 |
+
"grad_norm": 0.6796848603284529,
|
| 584 |
+
"learning_rate": 8.786729165470584e-06,
|
| 585 |
+
"loss": 0.7253,
|
| 586 |
+
"step": 395
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 0.5921539600296077,
|
| 590 |
+
"grad_norm": 0.6868812256194778,
|
| 591 |
+
"learning_rate": 8.530295491976338e-06,
|
| 592 |
+
"loss": 0.7307,
|
| 593 |
+
"step": 400
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.5921539600296077,
|
| 597 |
+
"eval_loss": 0.7635293006896973,
|
| 598 |
+
"eval_runtime": 7.068,
|
| 599 |
+
"eval_samples_per_second": 18.11,
|
| 600 |
+
"eval_steps_per_second": 2.264,
|
| 601 |
+
"step": 400
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 0.5995558845299778,
|
| 605 |
+
"grad_norm": 0.5909043234717403,
|
| 606 |
+
"learning_rate": 8.274845984038916e-06,
|
| 607 |
+
"loss": 0.7173,
|
| 608 |
+
"step": 405
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 0.6069578090303479,
|
| 612 |
+
"grad_norm": 0.6535110161863971,
|
| 613 |
+
"learning_rate": 8.020551699585843e-06,
|
| 614 |
+
"loss": 0.7468,
|
| 615 |
+
"step": 410
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 0.6143597335307179,
|
| 619 |
+
"grad_norm": 0.6069738166341774,
|
| 620 |
+
"learning_rate": 7.76758292296659e-06,
|
| 621 |
+
"loss": 0.7264,
|
| 622 |
+
"step": 415
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 0.6217616580310881,
|
| 626 |
+
"grad_norm": 0.6481589336019623,
|
| 627 |
+
"learning_rate": 7.5161090509242005e-06,
|
| 628 |
+
"loss": 0.7418,
|
| 629 |
+
"step": 420
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 0.6291635825314582,
|
| 633 |
+
"grad_norm": 0.6463244762446874,
|
| 634 |
+
"learning_rate": 7.2662984791613186e-06,
|
| 635 |
+
"loss": 0.7345,
|
| 636 |
+
"step": 425
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 0.6365655070318282,
|
| 640 |
+
"grad_norm": 0.6541386096546981,
|
| 641 |
+
"learning_rate": 7.01831848957653e-06,
|
| 642 |
+
"loss": 0.7489,
|
| 643 |
+
"step": 430
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 0.6439674315321984,
|
| 647 |
+
"grad_norm": 0.5992703121063927,
|
| 648 |
+
"learning_rate": 6.772335138246548e-06,
|
| 649 |
+
"loss": 0.7467,
|
| 650 |
+
"step": 435
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 0.6513693560325685,
|
| 654 |
+
"grad_norm": 0.6237688537708815,
|
| 655 |
+
"learning_rate": 6.528513144229256e-06,
|
| 656 |
+
"loss": 0.7427,
|
| 657 |
+
"step": 440
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 0.6587712805329385,
|
| 661 |
+
"grad_norm": 0.6109938157457578,
|
| 662 |
+
"learning_rate": 6.287015779262064e-06,
|
| 663 |
+
"loss": 0.7487,
|
| 664 |
+
"step": 445
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 0.6661732050333087,
|
| 668 |
+
"grad_norm": 0.6586419654811464,
|
| 669 |
+
"learning_rate": 6.048004758429451e-06,
|
| 670 |
+
"loss": 0.7273,
|
| 671 |
+
"step": 450
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 0.6735751295336787,
|
| 675 |
+
"grad_norm": 0.6029040703445087,
|
| 676 |
+
"learning_rate": 5.811640131872867e-06,
|
| 677 |
+
"loss": 0.7497,
|
| 678 |
+
"step": 455
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 0.6809770540340488,
|
| 682 |
+
"grad_norm": 0.6047746463189991,
|
| 683 |
+
"learning_rate": 5.578080177615575e-06,
|
| 684 |
+
"loss": 0.72,
|
| 685 |
+
"step": 460
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.688378978534419,
|
| 689 |
+
"grad_norm": 0.6186061941025227,
|
| 690 |
+
"learning_rate": 5.347481295574141e-06,
|
| 691 |
+
"loss": 0.7171,
|
| 692 |
+
"step": 465
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 0.695780903034789,
|
| 696 |
+
"grad_norm": 0.6099372690494231,
|
| 697 |
+
"learning_rate": 5.119997902827584e-06,
|
| 698 |
+
"loss": 0.7285,
|
| 699 |
+
"step": 470
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 0.7031828275351591,
|
| 703 |
+
"grad_norm": 0.6075548251479312,
|
| 704 |
+
"learning_rate": 4.8957823302142916e-06,
|
| 705 |
+
"loss": 0.7354,
|
| 706 |
+
"step": 475
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 0.7105847520355293,
|
| 710 |
+
"grad_norm": 0.5740031002086223,
|
| 711 |
+
"learning_rate": 4.674984720325961e-06,
|
| 712 |
+
"loss": 0.7208,
|
| 713 |
+
"step": 480
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 0.7179866765358993,
|
| 717 |
+
"grad_norm": 0.587440122556811,
|
| 718 |
+
"learning_rate": 4.457752926966888e-06,
|
| 719 |
+
"loss": 0.7149,
|
| 720 |
+
"step": 485
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 0.7253886010362695,
|
| 724 |
+
"grad_norm": 0.579300724322737,
|
| 725 |
+
"learning_rate": 4.244232416145839e-06,
|
| 726 |
+
"loss": 0.7336,
|
| 727 |
+
"step": 490
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 0.7327905255366395,
|
| 731 |
+
"grad_norm": 0.5893313506909182,
|
| 732 |
+
"learning_rate": 4.0345661686669745e-06,
|
| 733 |
+
"loss": 0.7269,
|
| 734 |
+
"step": 495
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 0.7401924500370096,
|
| 738 |
+
"grad_norm": 0.6207840467733526,
|
| 739 |
+
"learning_rate": 3.828894584384867e-06,
|
| 740 |
+
"loss": 0.7354,
|
| 741 |
+
"step": 500
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 0.7401924500370096,
|
| 745 |
+
"eval_loss": 0.7562252283096313,
|
| 746 |
+
"eval_runtime": 7.0669,
|
| 747 |
+
"eval_samples_per_second": 18.113,
|
| 748 |
+
"eval_steps_per_second": 2.264,
|
| 749 |
+
"step": 500
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 0.7475943745373798,
|
| 753 |
+
"grad_norm": 0.5588930357912468,
|
| 754 |
+
"learning_rate": 3.62735538818787e-06,
|
| 755 |
+
"loss": 0.7195,
|
| 756 |
+
"step": 505
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 0.7549962990377498,
|
| 760 |
+
"grad_norm": 0.6311587155804506,
|
| 761 |
+
"learning_rate": 3.4300835377726904e-06,
|
| 762 |
+
"loss": 0.7232,
|
| 763 |
+
"step": 510
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 0.7623982235381199,
|
| 767 |
+
"grad_norm": 0.6171722843809619,
|
| 768 |
+
"learning_rate": 3.2372111332720045e-06,
|
| 769 |
+
"loss": 0.7587,
|
| 770 |
+
"step": 515
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 0.7698001480384901,
|
| 774 |
+
"grad_norm": 0.6041124442799582,
|
| 775 |
+
"learning_rate": 3.048867328795588e-06,
|
| 776 |
+
"loss": 0.7155,
|
| 777 |
+
"step": 520
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.7772020725388601,
|
| 781 |
+
"grad_norm": 0.604453809119269,
|
| 782 |
+
"learning_rate": 2.865178245944218e-06,
|
| 783 |
+
"loss": 0.7145,
|
| 784 |
+
"step": 525
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 0.7846039970392302,
|
| 788 |
+
"grad_norm": 0.5678261075203981,
|
| 789 |
+
"learning_rate": 2.686266889354211e-06,
|
| 790 |
+
"loss": 0.7373,
|
| 791 |
+
"step": 530
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 0.7920059215396003,
|
| 795 |
+
"grad_norm": 0.5878591560004413,
|
| 796 |
+
"learning_rate": 2.5122530643292274e-06,
|
| 797 |
+
"loss": 0.7429,
|
| 798 |
+
"step": 535
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 0.7994078460399704,
|
| 802 |
+
"grad_norm": 0.6335605148603548,
|
| 803 |
+
"learning_rate": 2.3432532966144526e-06,
|
| 804 |
+
"loss": 0.7322,
|
| 805 |
+
"step": 540
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 0.8068097705403405,
|
| 809 |
+
"grad_norm": 0.5832205633293672,
|
| 810 |
+
"learning_rate": 2.1793807543668857e-06,
|
| 811 |
+
"loss": 0.7339,
|
| 812 |
+
"step": 545
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 0.8142116950407106,
|
| 816 |
+
"grad_norm": 0.5484140593938892,
|
| 817 |
+
"learning_rate": 2.0207451723739633e-06,
|
| 818 |
+
"loss": 0.7257,
|
| 819 |
+
"step": 550
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 0.8216136195410807,
|
| 823 |
+
"grad_norm": 0.5608949535445834,
|
| 824 |
+
"learning_rate": 1.8674527785713247e-06,
|
| 825 |
+
"loss": 0.7323,
|
| 826 |
+
"step": 555
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 0.8290155440414507,
|
| 830 |
+
"grad_norm": 0.614987231897141,
|
| 831 |
+
"learning_rate": 1.7196062229088606e-06,
|
| 832 |
+
"loss": 0.6996,
|
| 833 |
+
"step": 560
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 0.8364174685418209,
|
| 837 |
+
"grad_norm": 0.6274220285054067,
|
| 838 |
+
"learning_rate": 1.577304508612717e-06,
|
| 839 |
+
"loss": 0.7297,
|
| 840 |
+
"step": 565
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 0.843819393042191,
|
| 844 |
+
"grad_norm": 0.5189133367191697,
|
| 845 |
+
"learning_rate": 1.4406429258892762e-06,
|
| 846 |
+
"loss": 0.7502,
|
| 847 |
+
"step": 570
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"epoch": 0.851221317542561,
|
| 851 |
+
"grad_norm": 0.6163635903896416,
|
| 852 |
+
"learning_rate": 1.3097129881154936e-06,
|
| 853 |
+
"loss": 0.7199,
|
| 854 |
+
"step": 575
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 0.8586232420429312,
|
| 858 |
+
"grad_norm": 0.5826045976899757,
|
| 859 |
+
"learning_rate": 1.1846023705583442e-06,
|
| 860 |
+
"loss": 0.7163,
|
| 861 |
+
"step": 580
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.8660251665433013,
|
| 865 |
+
"grad_norm": 0.5795867643385718,
|
| 866 |
+
"learning_rate": 1.065394851664394e-06,
|
| 867 |
+
"loss": 0.7344,
|
| 868 |
+
"step": 585
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 0.8734270910436713,
|
| 872 |
+
"grad_norm": 0.5465940844303231,
|
| 873 |
+
"learning_rate": 9.521702569588199e-07,
|
| 874 |
+
"loss": 0.7536,
|
| 875 |
+
"step": 590
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 0.8808290155440415,
|
| 879 |
+
"grad_norm": 0.5733953437784535,
|
| 880 |
+
"learning_rate": 8.450044055914497e-07,
|
| 881 |
+
"loss": 0.722,
|
| 882 |
+
"step": 595
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 0.8882309400444115,
|
| 886 |
+
"grad_norm": 0.5600976250568785,
|
| 887 |
+
"learning_rate": 7.439690595656013e-07,
|
| 888 |
+
"loss": 0.7445,
|
| 889 |
+
"step": 600
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 0.8882309400444115,
|
| 893 |
+
"eval_loss": 0.7531653642654419,
|
| 894 |
+
"eval_runtime": 7.0744,
|
| 895 |
+
"eval_samples_per_second": 18.093,
|
| 896 |
+
"eval_steps_per_second": 2.262,
|
| 897 |
+
"step": 600
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 0.8956328645447816,
|
| 901 |
+
"grad_norm": 0.6305328535331403,
|
| 902 |
+
"learning_rate": 6.491318756837417e-07,
|
| 903 |
+
"loss": 0.7297,
|
| 904 |
+
"step": 605
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 0.9030347890451518,
|
| 908 |
+
"grad_norm": 0.5122359209490615,
|
| 909 |
+
"learning_rate": 5.605563602421149e-07,
|
| 910 |
+
"loss": 0.7058,
|
| 911 |
+
"step": 610
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 0.9104367135455218,
|
| 915 |
+
"grad_norm": 0.5559611714691143,
|
| 916 |
+
"learning_rate": 4.783018265047179e-07,
|
| 917 |
+
"loss": 0.7557,
|
| 918 |
+
"step": 615
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"epoch": 0.9178386380458919,
|
| 922 |
+
"grad_norm": 0.5817671631266513,
|
| 923 |
+
"learning_rate": 4.024233549850509e-07,
|
| 924 |
+
"loss": 0.7436,
|
| 925 |
+
"step": 620
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 0.9252405625462621,
|
| 929 |
+
"grad_norm": 0.551371591210011,
|
| 930 |
+
"learning_rate": 3.329717565622825e-07,
|
| 931 |
+
"loss": 0.7404,
|
| 932 |
+
"step": 625
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 0.9326424870466321,
|
| 936 |
+
"grad_norm": 0.5524848990635999,
|
| 937 |
+
"learning_rate": 2.6999353845651113e-07,
|
| 938 |
+
"loss": 0.724,
|
| 939 |
+
"step": 630
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 0.9400444115470022,
|
| 943 |
+
"grad_norm": 0.5847475817270994,
|
| 944 |
+
"learning_rate": 2.1353087308590314e-07,
|
| 945 |
+
"loss": 0.739,
|
| 946 |
+
"step": 635
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 0.9474463360473723,
|
| 950 |
+
"grad_norm": 0.5576073965990508,
|
| 951 |
+
"learning_rate": 1.6362156982656085e-07,
|
| 952 |
+
"loss": 0.729,
|
| 953 |
+
"step": 640
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 0.9548482605477424,
|
| 957 |
+
"grad_norm": 0.5237921834045887,
|
| 958 |
+
"learning_rate": 1.2029904969404482e-07,
|
| 959 |
+
"loss": 0.7126,
|
| 960 |
+
"step": 645
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 0.9622501850481125,
|
| 964 |
+
"grad_norm": 0.6022735856021589,
|
| 965 |
+
"learning_rate": 8.359232296349163e-08,
|
| 966 |
+
"loss": 0.7163,
|
| 967 |
+
"step": 650
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"epoch": 0.9696521095484826,
|
| 971 |
+
"grad_norm": 0.5687438455500246,
|
| 972 |
+
"learning_rate": 5.3525969743324356e-08,
|
| 973 |
+
"loss": 0.7321,
|
| 974 |
+
"step": 655
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 0.9770540340488527,
|
| 978 |
+
"grad_norm": 0.5475861274240331,
|
| 979 |
+
"learning_rate": 3.012012351554017e-08,
|
| 980 |
+
"loss": 0.7065,
|
| 981 |
+
"step": 660
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 0.9844559585492227,
|
| 985 |
+
"grad_norm": 0.5811810010866978,
|
| 986 |
+
"learning_rate": 1.3390457653639221e-08,
|
| 987 |
+
"loss": 0.7351,
|
| 988 |
+
"step": 665
|
| 989 |
+
},
|
| 990 |
+
{
|
| 991 |
+
"epoch": 0.9918578830495929,
|
| 992 |
+
"grad_norm": 0.6427867903548724,
|
| 993 |
+
"learning_rate": 3.3481749271768726e-09,
|
| 994 |
+
"loss": 0.7461,
|
| 995 |
+
"step": 670
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 0.999259807549963,
|
| 999 |
+
"grad_norm": 0.5721249942658874,
|
| 1000 |
+
"learning_rate": 0.0,
|
| 1001 |
+
"loss": 0.7157,
|
| 1002 |
+
"step": 675
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 0.999259807549963,
|
| 1006 |
+
"step": 675,
|
| 1007 |
+
"total_flos": 76888336760832.0,
|
| 1008 |
+
"train_loss": 0.7675520939297146,
|
| 1009 |
+
"train_runtime": 4819.1398,
|
| 1010 |
+
"train_samples_per_second": 4.484,
|
| 1011 |
+
"train_steps_per_second": 0.14
|
| 1012 |
+
}
|
| 1013 |
+
],
|
| 1014 |
+
"logging_steps": 5,
|
| 1015 |
+
"max_steps": 675,
|
| 1016 |
+
"num_input_tokens_seen": 0,
|
| 1017 |
+
"num_train_epochs": 1,
|
| 1018 |
+
"save_steps": 500,
|
| 1019 |
+
"stateful_callbacks": {
|
| 1020 |
+
"TrainerControl": {
|
| 1021 |
+
"args": {
|
| 1022 |
+
"should_epoch_stop": false,
|
| 1023 |
+
"should_evaluate": false,
|
| 1024 |
+
"should_log": false,
|
| 1025 |
+
"should_save": false,
|
| 1026 |
+
"should_training_stop": false
|
| 1027 |
+
},
|
| 1028 |
+
"attributes": {}
|
| 1029 |
+
}
|
| 1030 |
+
},
|
| 1031 |
+
"total_flos": 76888336760832.0,
|
| 1032 |
+
"train_batch_size": 1,
|
| 1033 |
+
"trial_name": null,
|
| 1034 |
+
"trial_params": null
|
| 1035 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5aec81cca16f25888013a55e012149ad71476d8de72e47f7db839d5d52cde7b1
|
| 3 |
+
size 7352
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|