---
license: mit
base_model: facebook/esm2_t30_150M_UR50D
tags:
- generated_from_trainer
model-index:
- name: model_checkpoint
  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. -->

# model_checkpoint

This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8311
- Mse: 0.8311

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 146  | 1.5425          | 1.5425 |
| No log        | 2.0   | 292  | 1.2182          | 1.2182 |
| No log        | 3.0   | 438  | 1.2270          | 1.2270 |
| 1.7883        | 4.0   | 584  | 1.0496          | 1.0496 |
| 1.7883        | 5.0   | 730  | 1.0828          | 1.0828 |
| 1.7883        | 6.0   | 876  | 0.9050          | 0.9050 |
| 0.9949        | 7.0   | 1022 | 0.8451          | 0.8451 |
| 0.9949        | 8.0   | 1168 | 0.9760          | 0.9760 |
| 0.9949        | 9.0   | 1314 | 0.8303          | 0.8303 |
| 0.9949        | 10.0  | 1460 | 0.8311          | 0.8311 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2