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
