prot_t5_xl_alphaKGD_bacteriaMiddle
This model is a fine-tuned version of Rostlab/prot_t5_xl_uniref50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8333
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|---|---|---|---|
| No log | 1.0 | 211 | 2.8487 |
| No log | 2.0 | 422 | 2.8389 |
| 3.2264 | 3.0 | 633 | 2.8333 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.7.1
- Tokenizers 0.11.0