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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: 4.3597

## 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: 128
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 5.4446        | 21.74  | 500  | 5.1548          |
| 4.3678        | 43.48  | 1000 | 4.5766          |
| 3.5217        | 65.22  | 1500 | 4.4270          |
| 2.8576        | 86.96  | 2000 | 4.1846          |
| 2.3293        | 108.7  | 2500 | 4.1929          |
| 1.9168        | 130.43 | 3000 | 4.3580          |
| 1.609         | 152.17 | 3500 | 4.3902          |
| 1.4018        | 173.91 | 4000 | 4.3795          |
| 1.2788        | 195.65 | 4500 | 4.3597          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0+cu117
- Datasets 2.15.0
- 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