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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: 6.3896

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 10.87 | 500  | 6.2035          |
| 6.2146        | 21.74 | 1000 | 6.2880          |
| 6.2146        | 32.61 | 1500 | 6.1653          |
| 5.9922        | 43.48 | 2000 | 6.3467          |
| 5.9922        | 54.35 | 2500 | 6.1741          |
| 5.9806        | 65.22 | 3000 | 6.3627          |
| 5.9806        | 76.09 | 3500 | 6.4281          |
| 5.9785        | 86.96 | 4000 | 6.3896          |


### 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