Model save
Browse files- README.md +58 -0
- all_results.json +8 -0
- generation_config.json +14 -0
- train_results.json +8 -0
- trainer_state.json +477 -0
README.md
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---
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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library_name: transformers
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model_name: Qwen2.5-1.5B-Open-R1-Distill
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for Qwen2.5-1.5B-Open-R1-Distill
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This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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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generator = pipeline("text-generation", model="Lines/Qwen2.5-1.5B-Open-R1-Distill", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<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/lineshogan-bigai/huggingface/runs/h0plmf0y)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.16.0.dev0
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- Transformers: 4.50.1
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- Pytorch: 2.6.0+cu124
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- Datasets: 3.4.1
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- Tokenizers: 0.21.1
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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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},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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all_results.json
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{
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"total_flos": 34173306634240.0,
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"train_loss": 0.6066549909420502,
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"train_runtime": 5973.3628,
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"train_samples": 93733,
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"train_samples_per_second": 1.674,
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"train_steps_per_second": 0.052
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.50.1"
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}
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train_results.json
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{
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"total_flos": 34173306634240.0,
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"train_loss": 0.6066549909420502,
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"train_runtime": 5973.3628,
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"train_samples": 93733,
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"train_samples_per_second": 1.674,
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"train_steps_per_second": 0.052
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}
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trainer_state.json
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|
| 1 |
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{
|
| 2 |
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"best_global_step": null,
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| 3 |
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"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.9984,
|
| 6 |
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"eval_steps": 500,
|
| 7 |
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"global_step": 312,
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| 8 |
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"is_hyper_param_search": false,
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| 9 |
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"is_local_process_zero": true,
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| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
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| 12 |
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{
|
| 13 |
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"epoch": 0.016,
|
| 14 |
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"grad_norm": 2.1790294647216797,
|
| 15 |
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"learning_rate": 1.5625e-05,
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| 16 |
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"loss": 0.8982,
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| 17 |
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"step": 5
|
| 18 |
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},
|
| 19 |
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{
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| 20 |
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"epoch": 0.032,
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| 21 |
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"grad_norm": 1.2921503782272339,
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| 22 |
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"learning_rate": 3.125e-05,
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| 23 |
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"loss": 0.7771,
|
| 24 |
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"step": 10
|
| 25 |
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},
|
| 26 |
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{
|
| 27 |
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"epoch": 0.048,
|
| 28 |
+
"grad_norm": 1.0662598609924316,
|
| 29 |
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"learning_rate": 4.6875e-05,
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| 30 |
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"loss": 0.7065,
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| 31 |
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"step": 15
|
| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"epoch": 0.064,
|
| 35 |
+
"grad_norm": 0.8291209936141968,
|
| 36 |
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"learning_rate": 4.9979726739605334e-05,
|
| 37 |
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"loss": 0.6569,
|
| 38 |
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"step": 20
|
| 39 |
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},
|
| 40 |
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{
|
| 41 |
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"epoch": 0.08,
|
| 42 |
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"grad_norm": 0.8745065927505493,
|
| 43 |
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"learning_rate": 4.989742922931149e-05,
|
| 44 |
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"loss": 0.6506,
|
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