| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: results | |
| 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. --> | |
| # results | |
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.7225 | |
| - Accuracy: 0.6416 | |
| ## 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: 0.0001 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| | |
| | 3.6926 | 0.5587 | 100 | 2.4932 | 0.5508 | | |
| | 3.4971 | 1.1173 | 200 | 2.1649 | 0.5738 | | |
| | 2.7013 | 1.6760 | 300 | 2.1019 | 0.5801 | | |
| | 2.0768 | 2.2346 | 400 | 2.4828 | 0.6241 | | |
| | 1.4108 | 2.7933 | 500 | 2.3521 | 0.6471 | | |
| | 1.0545 | 3.3520 | 600 | 2.5568 | 0.6115 | | |
| | 0.707 | 3.9106 | 700 | 2.5198 | 0.6304 | | |
| | 0.4998 | 4.4693 | 800 | 2.8322 | 0.6314 | | |
| ### Framework versions | |
| - Transformers 4.41.2 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |