---
license: mit
base_model: facebook/esm2_t12_35M_UR50D
tags:
- generated_from_trainer
model-index:
- name: esm2_t12_35M_UR50D-finetuned-localization
  results: []
---

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# esm2_t12_35M_UR50D-finetuned-localization

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:
- eval_loss: 0.2182
- eval_accuracy: 0.9345
- eval_runtime: 1227.8079
- eval_samples_per_second: 1.045
- eval_steps_per_second: 0.131
- epoch: 1.0
- step: 482

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

### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2