| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Qwen/Qwen2-1.5B |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: fine_tuned_wp |
| 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_wp |
|
|
| 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: 0.0726 |
| - Accuracy: 0.9872 |
|
|
| ## 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 | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | 0.844 | 0.0285 | 100 | 0.3602 | 0.8626 | |
| | 0.4928 | 0.0570 | 200 | 0.3831 | 0.9166 | |
| | 0.2699 | 0.0856 | 300 | 0.2540 | 0.9682 | |
| | 0.2095 | 0.1141 | 400 | 0.0900 | 0.9753 | |
| | 0.1506 | 0.1426 | 500 | 0.0991 | 0.9801 | |
| | 0.1505 | 0.1711 | 600 | 0.0511 | 0.9894 | |
| | 0.0973 | 0.1997 | 700 | 0.1396 | 0.9750 | |
| | 0.1486 | 0.2282 | 800 | 0.0892 | 0.9692 | |
| | 0.1458 | 0.2567 | 900 | 0.0726 | 0.9872 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.49.0 |
| - Pytorch 2.6.0+cu126 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
|
|
