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# mlm

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.2470

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.0795        | 10.87  | 500  | 6.3069          |
| 6.0066        | 21.74  | 1000 | 6.2240          |
| 5.9834        | 32.61  | 1500 | 6.3617          |
| 5.9497        | 43.48  | 2000 | 6.2711          |
| 5.9994        | 54.35  | 2500 | 6.2702          |
| 6.0073        | 65.22  | 3000 | 6.2237          |
| 5.9752        | 76.09  | 3500 | 6.1862          |
| 5.9932        | 86.96  | 4000 | 6.3695          |
| 5.9819        | 97.83  | 4500 | 6.3884          |
| 5.9803        | 108.7  | 5000 | 6.3632          |
| 5.9649        | 119.57 | 5500 | 6.2496          |
| 5.9697        | 130.43 | 6000 | 6.2470          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "model-index": [{"name": "mlm", "results": []}]}
transformers safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us