| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: Qwen/Qwen2-1.5B |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: fine_tuned_hswag |
| | 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. --> |
| |
|
| | # fine_tuned_hswag |
| |
|
| | This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6744 |
| | - Accuracy: 0.7498 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - 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 |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | | 0.5837 | 0.0322 | 100 | 0.4305 | 0.8946 | |
| | | 0.4321 | 0.0644 | 200 | 0.3573 | 0.9167 | |
| | | 0.3123 | 0.0966 | 300 | 0.7352 | 0.8979 | |
| | | 0.2957 | 0.1287 | 400 | 0.2162 | 0.9153 | |
| | | 0.234 | 0.1609 | 500 | 0.2174 | 0.9450 | |
| | | 0.1454 | 0.1931 | 600 | 0.1396 | 0.9587 | |
| | | 0.265 | 0.2253 | 700 | 0.1031 | 0.9526 | |
| | | 0.1734 | 0.2575 | 800 | 0.1756 | 0.9569 | |
| | | 0.1896 | 0.2897 | 900 | 0.1828 | 0.9591 | |
| | | 0.1723 | 0.3219 | 1000 | 0.6744 | 0.7498 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.49.0 |
| | - Pytorch 2.6.0+cu126 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| |
|
