---
license: mit
tags:
- generated_from_keras_callback
base_model: facebook/esm2_t12_35M_UR50D
model-index:
- name: esm2_t12_35M_UR50D-finetuned-AMP_Classification_HighAccuracy
  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_Classification_HighAccuracy

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: 0.0059
- Train Accuracy: 0.9981
- Validation Loss: 0.0985
- Validation Accuracy: 0.9769
- Epoch: 9

## 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.1093     | 0.9602         | 0.0862          | 0.9702              | 0     |
| 0.0626     | 0.9763         | 0.0717          | 0.9723              | 1     |
| 0.0372     | 0.9858         | 0.0976          | 0.9713              | 2     |
| 0.0204     | 0.9927         | 0.0913          | 0.9771              | 3     |
| 0.0121     | 0.9964         | 0.0953          | 0.9769              | 4     |
| 0.0109     | 0.9963         | 0.1082          | 0.9752              | 5     |
| 0.0085     | 0.9970         | 0.1057          | 0.9728              | 6     |
| 0.0063     | 0.9981         | 0.1145          | 0.9736              | 7     |
| 0.0051     | 0.9984         | 0.1181          | 0.9755              | 8     |
| 0.0059     | 0.9981         | 0.0985          | 0.9769              | 9     |


### Framework versions

- Transformers 4.40.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1