| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: medberta_v2 | |
| 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. --> | |
| # medberta_v2 | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.7111 | |
| ## 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: 7e-05 | |
| - train_batch_size: 72 | |
| - eval_batch_size: 72 | |
| - 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 | | |
| |:-------------:|:-----:|:------:|:---------------:| | |
| | 0.9168 | 0.96 | 40000 | 0.8666 | | |
| | 0.8392 | 1.91 | 80000 | 0.7871 | | |
| | 0.7867 | 2.87 | 120000 | 0.7432 | | |
| | 0.7418 | 3.83 | 160000 | 0.7111 | | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.10.0+cu113 | |
| - Datasets 1.16.1 | |
| - Tokenizers 0.12.1 | |