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---
license: mit
base_model: facebook/esm2_t12_35M_UR50D
tags:
- generated_from_keras_callback
model-index:
- name: esm2_t12_35M_UR50D-finetuned-cytosol-membrane-classification
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-cytosol-membrane-classification
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: 0.0922
- Train Accuracy: 0.9713
- Validation Loss: 0.1652
- Validation Accuracy: 0.9507
- 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 Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.2384 | 0.9238 | 0.1895 | 0.9398 | 0 |
| 0.1386 | 0.9546 | 0.1807 | 0.9468 | 1 |
| 0.0922 | 0.9713 | 0.1652 | 0.9507 | 2 |
### Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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