---
license: mit
base_model: facebook/esm2_t6_8M_UR50D
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: esm2_t6_8M_UR50D-finetuned-epitope-june-12
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# esm2_t6_8M_UR50D-finetuned-epitope-june-12

This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co./facebook/esm2_t6_8M_UR50D) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5492
- Accuracy: 0.8234

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4862        | 0.9997 | 1525 | 0.5349          | 0.8208   |
| 0.47          | 2.0    | 3051 | 0.5110          | 0.8239   |
| 0.4023        | 2.9990 | 4575 | 0.5492          | 0.8234   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1