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 +281 -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
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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| 1 |
+
---
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| 2 |
+
base_model: Qwen/Qwen2.5-1.5B-Instruct
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| 3 |
+
library_name: transformers
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| 4 |
+
model_name: Qwen2.5-1.5B-Open-R1-Distill
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| 5 |
+
tags:
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| 6 |
+
- generated_from_trainer
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| 7 |
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- trl
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| 8 |
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- sft
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| 9 |
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licence: license
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
# Model Card for Qwen2.5-1.5B-Open-R1-Distill
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| 13 |
+
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| 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).
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| 16 |
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| 17 |
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## Quick start
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| 18 |
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|
| 19 |
+
```python
|
| 20 |
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from transformers import pipeline
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| 21 |
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|
| 22 |
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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?"
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| 23 |
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generator = pipeline("text-generation", model="howey/Qwen2.5-1.5B-Open-R1-Distill", device="cuda")
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| 24 |
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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| 25 |
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print(output["generated_text"])
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| 26 |
+
```
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| 27 |
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|
| 28 |
+
## Training procedure
|
| 29 |
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|
| 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/hhy-tue/huggingface/runs/1od5dss7)
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| 31 |
+
|
| 32 |
+
|
| 33 |
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This model was trained with SFT.
|
| 34 |
+
|
| 35 |
+
### Framework versions
|
| 36 |
+
|
| 37 |
+
- TRL: 0.14.0.dev0
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| 38 |
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- Transformers: 4.49.0.dev0
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| 39 |
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- Pytorch: 2.5.1
|
| 40 |
+
- Datasets: 3.2.0
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| 41 |
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- Tokenizers: 0.21.0
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| 42 |
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|
| 43 |
+
## Citations
|
| 44 |
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|
| 45 |
+
|
| 46 |
+
|
| 47 |
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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 |
+
```
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added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
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{
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| 2 |
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"</tool_call>": 151658,
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| 3 |
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"<tool_call>": 151657,
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| 4 |
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"<|box_end|>": 151649,
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| 5 |
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"<|box_start|>": 151648,
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| 6 |
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"<|endoftext|>": 151643,
|
| 7 |
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"<|file_sep|>": 151664,
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| 8 |
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"<|fim_middle|>": 151660,
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| 9 |
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"<|fim_pad|>": 151662,
|
| 10 |
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"<|fim_prefix|>": 151659,
|
| 11 |
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"<|fim_suffix|>": 151661,
|
| 12 |
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"<|im_end|>": 151645,
|
| 13 |
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"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
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"<|quad_start|>": 151650,
|
| 19 |
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"<|repo_name|>": 151663,
|
| 20 |
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"<|video_pad|>": 151656,
|
| 21 |
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"<|vision_end|>": 151653,
|
| 22 |
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"<|vision_pad|>": 151654,
|
| 23 |
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"<|vision_start|>": 151652
|
| 24 |
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}
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all_results.json
ADDED
|
@@ -0,0 +1,9 @@
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{
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| 2 |
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"epoch": 1.0,
|
| 3 |
+
"total_flos": 6.966137809639834e+17,
|
| 4 |
+
"train_loss": 0.8737344685390857,
|
| 5 |
+
"train_runtime": 458.8599,
|
| 6 |
+
"train_samples": 16610,
|
| 7 |
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"train_samples_per_second": 47.095,
|
| 8 |
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"train_steps_per_second": 0.368
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| 9 |
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}
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config.json
ADDED
|
@@ -0,0 +1,29 @@
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{
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| 2 |
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"_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 3 |
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"architectures": [
|
| 4 |
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"Qwen2ForCausalLM"
|
| 5 |
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],
|
| 6 |
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"attention_dropout": 0.0,
|
| 7 |
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"bos_token_id": 151643,
|
| 8 |
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"eos_token_id": 151645,
|
| 9 |
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"hidden_act": "silu",
|
| 10 |
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"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 |
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"torch_dtype": "bfloat16",
|
| 25 |
+
"transformers_version": "4.49.0.dev0",
|
| 26 |
+
"use_cache": false,
|
| 27 |
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"use_sliding_window": false,
|
| 28 |
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"vocab_size": 151936
|
| 29 |
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}
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generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
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{
|
| 2 |
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"bos_token_id": 151643,
|
| 3 |
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"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
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model.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:0b47b3d8fe71955dce6e32b963334645ad576b8c60b112c9cb3e0f4d8b7e7322
|
| 3 |
+
size 3087467144
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special_tokens_map.json
ADDED
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{
|
| 2 |
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"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 |
+
}
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tokenizer.json
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|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
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tokenizer_config.json
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|
| 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 |
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"single_word": false,
|
| 75 |
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"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
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"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
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"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 |
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"content": "<|vision_pad|>",
|
| 95 |
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"lstrip": false,
|
| 96 |
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"normalized": false,
|
| 97 |
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"rstrip": false,
|
| 98 |
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"single_word": false,
|
| 99 |
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"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
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"normalized": false,
|
| 105 |
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"rstrip": false,
|
| 106 |
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"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 |
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"content": "<tool_call>",
|
| 119 |
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"lstrip": false,
|
| 120 |
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"normalized": false,
|
| 121 |
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"rstrip": false,
|
| 122 |
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"single_word": false,
|
| 123 |
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"special": false
|
| 124 |
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},
|
| 125 |
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"151658": {
|
| 126 |
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"content": "</tool_call>",
|
| 127 |
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|
| 128 |
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"normalized": false,
|
| 129 |
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|
| 130 |
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"single_word": false,
|
| 131 |
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"special": false
|
| 132 |
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},
|
| 133 |
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"151659": {
|
| 134 |
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"content": "<|fim_prefix|>",
|
| 135 |
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"lstrip": false,
|
| 136 |
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"normalized": false,
|
| 137 |
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"rstrip": false,
|
| 138 |
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"single_word": false,
|
| 139 |
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"special": false
|
| 140 |
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},
|
| 141 |
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"151660": {
|
| 142 |
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"content": "<|fim_middle|>",
|
| 143 |
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"lstrip": false,
|
| 144 |
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"normalized": false,
|
| 145 |
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"rstrip": false,
|
| 146 |
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"single_word": false,
|
| 147 |
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"special": false
|
| 148 |
+
},
|
| 149 |
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"151661": {
|
| 150 |
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"content": "<|fim_suffix|>",
|
| 151 |
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"lstrip": false,
|
| 152 |
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"normalized": false,
|
| 153 |
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"rstrip": false,
|
| 154 |
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"single_word": false,
|
| 155 |
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"special": false
|
| 156 |
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},
|
| 157 |
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"151662": {
|
| 158 |
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"content": "<|fim_pad|>",
|
| 159 |
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"lstrip": false,
|
| 160 |
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"normalized": false,
|
| 161 |
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"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
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"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": 1.0,
|
| 3 |
+
"total_flos": 6.966137809639834e+17,
|
| 4 |
+
"train_loss": 0.8737344685390857,
|
| 5 |
+
"train_runtime": 458.8599,
|
| 6 |
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"train_samples": 16610,
|
| 7 |
+
"train_samples_per_second": 47.095,
|
| 8 |
+
"train_steps_per_second": 0.368
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,281 @@
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 169,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.029585798816568046,
|
| 13 |
+
"grad_norm": 716.0,
|
| 14 |
+
"learning_rate": 5.882352941176471e-06,
|
| 15 |
+
"loss": 1.1003,
|
| 16 |
+
"step": 5
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.05917159763313609,
|
| 20 |
+
"grad_norm": 564.0,
|
| 21 |
+
"learning_rate": 1.1764705882352942e-05,
|
| 22 |
+
"loss": 1.0845,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.08875739644970414,
|
| 27 |
+
"grad_norm": 484.0,
|
| 28 |
+
"learning_rate": 1.7647058823529414e-05,
|
| 29 |
+
"loss": 1.0317,
|
| 30 |
+
"step": 15
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.11834319526627218,
|
| 34 |
+
"grad_norm": 408.0,
|
| 35 |
+
"learning_rate": 1.9980782984658682e-05,
|
| 36 |
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