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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: 6.2347

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3798        | 10.87 | 500  | 6.1726          |
| 6.0568        | 21.74 | 1000 | 6.2498          |
| 6.115         | 32.61 | 1500 | 6.4292          |
| 6.0073        | 43.48 | 2000 | 6.2347          |


### 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 tensorboard safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us