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esm2_t12_35M_UR50D-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1013
- Accuracy: 0.6667
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 3.2522 | 0.6667 |
| No log | 2.0 | 2 | 3.2250 | 0.6667 |
| No log | 3.0 | 3 | 3.1998 | 0.6667 |
| No log | 4.0 | 4 | 3.1758 | 0.6667 |
| No log | 5.0 | 5 | 3.1550 | 0.6667 |
| No log | 6.0 | 6 | 3.1375 | 0.6667 |
| No log | 7.0 | 7 | 3.1232 | 0.6667 |
| No log | 8.0 | 8 | 3.1123 | 0.6667 |
| No log | 9.0 | 9 | 3.1050 | 0.6667 |
| No log | 10.0 | 10 | 3.1013 | 0.6667 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
