| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: google-bigbird-roberta-base | |
| 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. --> | |
| # google-bigbird-roberta-base | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0876 | |
| - F1 Score: 0.9858 | |
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 Score | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| | |
| | 0.08 | 1.0 | 3492 | 0.0894 | 0.9836 | | |
| | 0.0592 | 2.0 | 6984 | 0.0932 | 0.9867 | | |
| | 0.0447 | 3.0 | 10476 | 0.0876 | 0.9858 | | |
| | 0.0184 | 4.0 | 13968 | 0.0951 | 0.9854 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.3 | |