--- tags: - generated_from_trainer model-index: - name: medberta_v2 results: [] --- # medberta_v2 This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8387 ## 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: 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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.9523 | 0.96 | 40000 | 0.8916 | | 0.9016 | 1.91 | 80000 | 0.8387 | ### Framework versions - Transformers 4.19.2 - Pytorch 1.10.0+cu113 - Datasets 1.16.1 - Tokenizers 0.12.1