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# test_ditilroberta_eli5

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8924

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1126        | 1.0   | 1134 | 1.9383          |
| 2.0486        | 2.0   | 2268 | 1.8992          |
| 2.0322        | 3.0   | 3402 | 1.9077          |
| 1.9814        | 4.0   | 4536 | 1.8686          |
| 1.9752        | 5.0   | 5670 | 1.8924          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "model-index": [{"name": "test_ditilroberta_eli5", "results": []}]}
transformers tensorboard safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us