| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: SingleBertModel-ProtBertfinetuned-smilesBindingDB | |
| 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. --> | |
| # SingleBertModel-ProtBertfinetuned-smilesBindingDB | |
| This model is a fine-tuned version of [Rostlab/prot_bert](https://huggingface.co/Rostlab/prot_bert) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.5433 | |
| ## 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: 0.0001 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 2.5742 | 1.0 | 8000 | 2.5527 | | |
| | 2.5505 | 2.0 | 16000 | 2.5361 | | |
| | 2.5345 | 3.0 | 24000 | 2.5433 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |