metadata
license: mit
tags:
- generated_from_keras_callback
base_model: facebook/esm2_t12_35M_UR50D
model-index:
- name: >-
esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification_CombinedPos5Epoch
results: []
esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification_CombinedPos5Epoch
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: 0.2090
- Train Accuracy: 0.9111
- Validation Loss: 0.5719
- Validation Accuracy: 0.7842
- Epoch: 4
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 Accuracy | Validation Loss | Validation Accuracy | Epoch |
---|---|---|---|---|
0.6535 | 0.6007 | 0.6349 | 0.6217 | 0 |
0.5923 | 0.6721 | 0.5965 | 0.6733 | 1 |
0.4529 | 0.7850 | 0.5529 | 0.7241 | 2 |
0.2886 | 0.8738 | 0.5695 | 0.7650 | 3 |
0.2090 | 0.9111 | 0.5719 | 0.7842 | 4 |
Framework versions
- Transformers 4.40.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1