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: 0.0348
- Accuracy: 0.9916
Model description
More information needed
Intended uses & limitations
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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 | Accuracy |
|---|---|---|---|---|
| 0.0484 | 1.0 | 2889 | 0.0384 | 0.9912 |
| 0.0368 | 2.0 | 5778 | 0.0377 | 0.9909 |
| 0.026 | 3.0 | 8667 | 0.0348 | 0.9916 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for LAB-UGent/esm2_t12_35M_UR50D-finetuned-localization
Base model
facebook/esm2_t12_35M_UR50D