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# esm2_t12_35M_UR50D-finetuned-epitope_100k

This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1299
- Accuracy: 0.9696

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1306        | 1.0   | 10312 | 0.1316          | 0.9695   |
| 0.128         | 2.0   | 20624 | 0.1299          | 0.9696   |
| 0.1223        | 3.0   | 30936 | 0.1306          | 0.9695   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t12_35M_UR50D", "model-index": [{"name": "esm2_t12_35M_UR50D-finetuned-epitope_100k", "results": []}]}
transformers safetensors esm token-classification generated_from_trainer base_model:facebook/esm2_t12_35M_UR50D license:mit autotrain_compatible endpoints_compatible region:us