---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: esm2_t6_8M_UR50D-finetuned-Xmas-project
  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_t6_8M_UR50D-finetuned-Xmas-project

This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 56.7855
- Validation Loss: 101.4410
- 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 | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 494.7048   | 197.2008        | 0     |
| 149.9308   | 127.9843        | 1     |
| 110.7755   | 105.5121        | 2     |
| 94.8339    | 100.2063        | 3     |
| 83.1885    | 101.8379        | 4     |
| 75.9772    | 108.3454        | 5     |
| 69.3844    | 110.1212        | 6     |
| 64.3868    | 97.5026         | 7     |
| 60.4573    | 100.1366        | 8     |
| 56.7855    | 101.4410        | 9     |


### Framework versions

- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2