---
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: []
---

<!-- 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-AMP_Antibacteria-classification_CombinedPos5Epoch

This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/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