---
tags:
- generated_from_trainer
datasets:
- gb1
model-index:
- name: protein-lm-gb1
  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. -->

# protein-lm-gb1

This model was trained from scratch on the gb1 dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9175
- Mse: 4.9175
- Rmse: 2.2175
- Mae: 1.9137
- R2: -0.0720
- Smape: 79.2041

## 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: 64
- eval_batch_size: 20
- 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 | Mse    | Rmse   | Mae    | R2      | Smape   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:-------:|:-------:|
| 5.202         | 1.0   | 7539  | 4.9090          | 4.9090 | 2.2156 | 1.9131 | -0.0702 | 79.1446 |
| 5.247         | 2.0   | 15078 | 4.9849          | 4.9849 | 2.2327 | 1.9185 | -0.0867 | 79.6722 |
| 5.2129        | 3.0   | 22617 | 4.9175          | 4.9175 | 2.2175 | 1.9137 | -0.0720 | 79.2041 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2