--- tags: - generated_from_trainer metrics: - precision - recall - accuracy model-index: - name: output results: [] --- # output This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7144 - Precision: 0.9059 - Recall: 0.9049 - Accuracy: 0.9049 - F1-score: 0.9053 ## 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: 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: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1-score | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:| | 0.6607 | 1.0 | 309 | 0.3826 | 0.8915 | 0.8907 | 0.8907 | 0.8905 | | 0.2673 | 2.0 | 618 | 0.4694 | 0.8886 | 0.8866 | 0.8866 | 0.8860 | | 0.1819 | 3.0 | 927 | 0.4766 | 0.9001 | 0.8988 | 0.8988 | 0.8989 | | 0.102 | 4.0 | 1236 | 0.6096 | 0.8945 | 0.8927 | 0.8927 | 0.8930 | | 0.0607 | 5.0 | 1545 | 0.6537 | 0.8971 | 0.8947 | 0.8947 | 0.8955 | | 0.0326 | 6.0 | 1854 | 0.6568 | 0.9127 | 0.9109 | 0.9109 | 0.9116 | | 0.0221 | 7.0 | 2163 | 0.7081 | 0.9045 | 0.9028 | 0.9028 | 0.9035 | | 0.0133 | 8.0 | 2472 | 0.7144 | 0.9059 | 0.9049 | 0.9049 | 0.9053 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2