esm2_t6_8M_UR50D-finetuned-over-deeploc-dataset
This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0633
- Train Accuracy: 0.6457
- Validation Loss: 1.0790
- Validation Accuracy: 0.6062
- Epoch: 2
Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
- training_precision: float32
Training results
Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
---|---|---|---|---|
1.8992 | 0.4640 | 1.6031 | 0.5294 | 0 |
1.3270 | 0.5977 | 1.2297 | 0.6144 | 1 |
1.0633 | 0.6457 | 1.0790 | 0.6062 | 2 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.1.0
- Tokenizers 0.19.1
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Base model
facebook/esm2_t6_8M_UR50D