--- library_name: transformers tags: - generated_from_trainer metrics: - accuracy model-index: - name: 2024-11-18_10-58-28 results: [] --- # 2024-11-18_10-58-28 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: 0.5595 - Accuracy: 0.7301 ## 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: 3072 - eval_batch_size: 3072 - seed: 42 - optimizer: Use 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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.6789 | 0.4 | 20 | 0.6699 | 0.7086 | | 0.6399 | 0.8 | 40 | 0.6259 | 0.7125 | | 0.5977 | 1.2 | 60 | 0.5863 | 0.7184 | | 0.5721 | 1.6 | 80 | 0.5655 | 0.7272 | | 0.5639 | 2.0 | 100 | 0.5595 | 0.7301 | ### Framework versions - Transformers 4.46.2 - Pytorch 2.1.2+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3