<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
esm2_t12_35M_UR50D-finetuned-secondary-structure-classification
This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4108
- Train Masked Accuracy: 0.8325
- Validation Loss: 0.4586
- Validation Masked Accuracy: 0.8119
- Epoch: 2
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:
- 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 Masked Accuracy | Validation Loss | Validation Masked Accuracy | Epoch |
|---|---|---|---|---|
| 0.5809 | 0.7502 | 0.4764 | 0.8023 | 0 |
| 0.4534 | 0.8132 | 0.4564 | 0.8115 | 1 |
| 0.4108 | 0.8325 | 0.4586 | 0.8119 | 2 |
Framework versions
- Transformers 4.25.0.dev0
- TensorFlow 2.10.0
- Datasets 2.6.1
- Tokenizers 0.11.0
