| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: open-r1/OpenR1-Qwen-7B |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: open_r1 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # open_r1 |
| | |
| | This model is a fine-tuned version of [open-r1/OpenR1-Qwen-7B](https://huggingface.co/open-r1/OpenR1-Qwen-7B) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0084 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 16 |
| | - total_train_batch_size: 16 |
| | - total_eval_batch_size: 16 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 224 |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.0811 | 0.196 | 49 | 0.0713 | |
| | | 0.0502 | 0.392 | 98 | 0.0410 | |
| | | 0.0364 | 0.588 | 147 | 0.0331 | |
| | | 0.0289 | 0.784 | 196 | 0.0294 | |
| | | 0.0276 | 0.98 | 245 | 0.0263 | |
| | | 0.0255 | 1.176 | 294 | 0.0233 | |
| | | 0.0217 | 1.3720 | 343 | 0.0208 | |
| | | 0.0197 | 1.568 | 392 | 0.0178 | |
| | | 0.0167 | 1.764 | 441 | 0.0155 | |
| | | 0.0111 | 1.96 | 490 | 0.0136 | |
| | | 0.0109 | 2.156 | 539 | 0.0124 | |
| | | 0.0117 | 2.352 | 588 | 0.0109 | |
| | | 0.0091 | 2.548 | 637 | 0.0097 | |
| | | 0.0102 | 2.7440 | 686 | 0.0089 | |
| | | 0.0086 | 2.94 | 735 | 0.0084 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.49.0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| |
|
