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# esm2_t30_150M_UR50D-finetuned-0205

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: 0.1034

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8242        | 1.0   | 607  | 0.4114          |
| 0.3535        | 2.0   | 1214 | 0.2702          |
| 0.2206        | 3.0   | 1821 | 0.2036          |
| 0.1962        | 4.0   | 2428 | 0.1688          |
| 0.1349        | 5.0   | 3035 | 0.1454          |
| 0.1248        | 6.0   | 3642 | 0.1296          |
| 0.1018        | 7.0   | 4249 | 0.1174          |
| 0.0981        | 8.0   | 4856 | 0.1069          |
| 0.1044        | 9.0   | 5463 | 0.1015          |
| 0.0849        | 10.0  | 6070 | 0.1019          |


### 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"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t30_150M_UR50D-finetuned-0205", "results": []}]}
transformers safetensors esm fill-mask generated_from_trainer base_model:facebook/esm2_t30_150M_UR50D license:mit autotrain_compatible endpoints_compatible region:us