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# bookcorpus_MLM

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6909

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3548        | 1.0   | 2253  | 1.1972          |
| 1.1021        | 2.0   | 4506  | 1.0061          |
| 1.0076        | 3.0   | 6759  | 0.9032          |
| 0.9322        | 4.0   | 9012  | 0.8455          |
| 0.8785        | 5.0   | 11265 | 0.8035          |
| 0.8431        | 6.0   | 13518 | 0.7659          |
| 0.8143        | 7.0   | 15771 | 0.7411          |
| 0.7794        | 8.0   | 18024 | 0.7148          |
| 0.763         | 9.0   | 20277 | 0.6963          |
| 0.7502        | 10.0  | 22530 | 0.6831          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bookcorpus_MLM", "results": []}]}
transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:bert-base-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us