| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - gb1 | |
| model-index: | |
| - name: protein-lm-gb1 | |
| 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. --> | |
| # protein-lm-gb1 | |
| This model was trained from scratch on the gb1 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.9175 | |
| - Mse: 4.9175 | |
| - Rmse: 2.2175 | |
| - Mae: 1.9137 | |
| - R2: -0.0720 | |
| - Smape: 79.2041 | |
| ## 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: 64 | |
| - eval_batch_size: 20 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 | Smape | | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:-------:|:-------:| | |
| | 5.202 | 1.0 | 7539 | 4.9090 | 4.9090 | 2.2156 | 1.9131 | -0.0702 | 79.1446 | | |
| | 5.247 | 2.0 | 15078 | 4.9849 | 4.9849 | 2.2327 | 1.9185 | -0.0867 | 79.6722 | | |
| | 5.2129 | 3.0 | 22617 | 4.9175 | 4.9175 | 2.2175 | 1.9137 | -0.0720 | 79.2041 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |