esm2_t6_8M_UR50D-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0064
- R Squared: 0.882
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: 8
- eval_batch_size: 8
- 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 | R Squared |
|---|---|---|---|---|
| 0.0023 | 1.0 | 1504 | 0.0075 | 0.862 |
| 0.0018 | 2.0 | 3008 | 0.0064 | 0.882 |
| 0.0008 | 3.0 | 4512 | 0.0064 | 0.882 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.11.0