| --- |
| library_name: transformers |
| license: cc-by-nc-4.0 |
| base_model: ahmedmohamed55/checkpoints |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: checkpoints |
| 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. --> |
|
|
| # checkpoints |
|
|
| This model is a fine-tuned version of [ahmedmohamed55/checkpoints](https://huggingface.co/ahmedmohamed55/checkpoints) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1487 |
| - Accuracy: 0.9913 |
| - Precision: 0.9821 |
| - Recall: 0.9781 |
| - F1: 0.9795 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | No log | 1.0 | 458 | 0.1666 | 0.9803 | 0.9574 | 0.9553 | 0.9534 | |
| | 0.3261 | 2.0 | 916 | 0.1540 | 0.9891 | 0.9806 | 0.9722 | 0.9762 | |
| | 0.0261 | 3.0 | 1374 | 0.1243 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| | 0.0002 | 4.0 | 1832 | 0.1403 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| | 0.0000 | 5.0 | 2290 | 0.1418 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| | 0.0000 | 6.0 | 2748 | 0.1441 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| | 0.0000 | 7.0 | 3206 | 0.1459 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| | 0.0000 | 8.0 | 3664 | 0.1474 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| | 0.0000 | 9.0 | 4122 | 0.1483 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| | 0.0000 | 10.0 | 4580 | 0.1487 | 0.9913 | 0.9821 | 0.9781 | 0.9795 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.13.1 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
