---
library_name: transformers
license: mit
base_model: facebook/esm2_t12_35M_UR50D
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: checkpoints
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# checkpoints

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: 0.6773
- Accuracy: 0.7253
- Precision: 0.3633
- Recall: 0.4923
- F1: 0.4180

## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.6281        | 1.0   | 1028 | 0.6312          | 0.7622   | 0.4035    | 0.3903 | 0.3968 |
| 0.5836        | 2.0   | 2056 | 0.6297          | 0.7553   | 0.3973    | 0.4273 | 0.4118 |
| 0.5832        | 3.0   | 3084 | 0.6605          | 0.7754   | 0.4326    | 0.3880 | 0.4091 |
| 0.5177        | 4.0   | 4112 | 0.6891          | 0.7604   | 0.4052    | 0.4179 | 0.4114 |
| 0.5016        | 5.0   | 5140 | 0.6773          | 0.7253   | 0.3633    | 0.4923 | 0.4180 |


### Framework versions

- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2