---
library_name: transformers
license: mit
base_model: facebook/esm2_t33_650M_UR50D
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: esm2_t33_650M_UR50D_56706470
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# esm2_t33_650M_UR50D_56706470

This model is a fine-tuned version of [facebook/esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5745
- Accuracy: 0.8692

## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 147  | 0.3648          | 0.8410   |
| No log        | 2.0   | 294  | 0.3967          | 0.8436   |
| No log        | 3.0   | 441  | 0.5136          | 0.8615   |
| 0.2299        | 4.0   | 588  | 0.5463          | 0.8615   |
| 0.2299        | 5.0   | 735  | 0.5745          | 0.8692   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1.post103
- Datasets 3.1.0
- Tokenizers 0.20.4