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# my_awesome_distilberta_lm

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4099

## 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: 0.0002
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 282  | 5.3874          |
| 5.4769        | 2.0   | 564  | 5.2643          |
| 5.4769        | 3.0   | 846  | 4.9845          |
| 5.075         | 4.0   | 1128 | 4.9163          |
| 5.075         | 5.0   | 1410 | 4.8219          |
| 4.799         | 6.0   | 1692 | 4.6897          |
| 4.799         | 7.0   | 1974 | 4.5800          |
| 4.5388        | 8.0   | 2256 | 4.5920          |
| 4.3687        | 9.0   | 2538 | 4.5769          |
| 4.3687        | 10.0  | 2820 | 4.4824          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "my_awesome_distilberta_lm", "results": []}]}
transformers pytorch roberta fill-mask generated_from_trainer base_model:distilroberta-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us