| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: ber2 | |
| 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. --> | |
| # ber2 | |
| This model was trained from scratch on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0472 | |
| - F1: 0.0 | |
| - Roc Auc: 0.5 | |
| - Accuracy: 0.0 | |
| ## 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: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| | |
| | No log | 1.0 | 121 | 0.2033 | 0.0039 | 0.5009 | 0.0 | | |
| | No log | 2.0 | 242 | 0.0886 | 0.0 | 0.5 | 0.0 | | |
| | No log | 3.0 | 363 | 0.0604 | 0.0 | 0.5 | 0.0 | | |
| | No log | 4.0 | 484 | 0.0501 | 0.0 | 0.5 | 0.0 | | |
| | 0.1703 | 5.0 | 605 | 0.0472 | 0.0 | 0.5 | 0.0 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.10.1 | |
| - Tokenizers 0.13.2 | |