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 +63 -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="T1anyu/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/tianyufan0504_/huggingface/runs/i1ph2gnv)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.15.0
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- Transformers: 4.50.0.dev0
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- Pytorch: 2.5.1
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- Datasets: 3.3.1
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- Tokenizers: 0.21.0
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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": 103624402944.0,
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"train_loss": 0.8838785322088945,
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"train_runtime": 262.5643,
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"train_samples": 93733,
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"train_samples_per_second": 0.145,
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"train_steps_per_second": 0.072
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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": "4.50.0.dev0"
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}
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train_results.json
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{
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"total_flos": 103624402944.0,
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"train_loss": 0.8838785322088945,
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"train_runtime": 262.5643,
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"train_samples": 93733,
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"train_samples_per_second": 0.145,
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"train_steps_per_second": 0.072
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 1.0,
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"eval_steps": 500,
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"global_step": 19,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.2631578947368421,
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"grad_norm": 4.513563155702256,
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"learning_rate": 4.473599997017701e-05,
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"loss": 0.869,
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"step": 5
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},
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"epoch": 0.5263157894736842,
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"grad_norm": 3.3623716219856,
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"learning_rate": 2.7500000000000004e-05,
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"loss": 0.8519,
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"step": 10
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},
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{
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"epoch": 0.7894736842105263,
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"grad_norm": 3.2657311833778047,
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"learning_rate": 1.0264000029822999e-05,
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"loss": 0.8395,
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"step": 15
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},
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{
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"epoch": 1.0,
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"step": 19,
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"total_flos": 103624402944.0,
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"train_loss": 0.8838785322088945,
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"train_runtime": 262.5643,
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"train_samples_per_second": 0.145,
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"train_steps_per_second": 0.072
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}
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],
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"logging_steps": 5,
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"max_steps": 19,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 1,
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"save_steps": 100,
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"stateful_callbacks": {
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"TrainerControl": {
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"args": {
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"should_epoch_stop": false,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": true
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},
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"attributes": {}
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}
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},
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"total_flos": 103624402944.0,
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"train_batch_size": 1,
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"trial_name": null,
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"trial_params": null
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}
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