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# Bert-MLM

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6008

## 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: 0.01
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.8219        | 0.12  | 100  | 5.6243          |
| 5.6177        | 0.25  | 200  | 5.6153          |
| 5.6121        | 0.37  | 300  | 5.6094          |
| 5.6131        | 0.49  | 400  | 5.6055          |
| 5.6           | 0.62  | 500  | 5.6008          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0

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