prot_bert-finetuned-CDR3
This model is a fine-tuned version of Rostlab/prot_bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8976
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 101 | 2.0475 |
| 1.8854 | 2.0 | 202 | nan |
| 1.8454 | 3.0 | 303 | 1.9785 |
| 1.7681 | 4.0 | 404 | 1.7896 |
| 1.6736 | 5.0 | 505 | 1.9707 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
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Model tree for BrianS15/prot_bert-finetuned-CDR3
Base model
Rostlab/prot_bert