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# roberta_sst5_padding90model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5805
- Accuracy: 0.2308

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5744        | 1.0   | 534   | 1.5924          | 0.2308   |
| 1.5745        | 2.0   | 1068  | 1.5815          | 0.2308   |
| 1.5745        | 3.0   | 1602  | 1.5858          | 0.2864   |
| 1.5684        | 4.0   | 2136  | 1.5801          | 0.2308   |
| 1.5737        | 5.0   | 2670  | 1.5756          | 0.2864   |
| 1.5751        | 6.0   | 3204  | 1.5837          | 0.2308   |
| 1.5716        | 7.0   | 3738  | 1.5780          | 0.2308   |
| 1.5717        | 8.0   | 4272  | 1.5792          | 0.2308   |
| 1.5704        | 9.0   | 4806  | 1.5815          | 0.2308   |
| 1.5662        | 10.0  | 5340  | 1.5783          | 0.2308   |
| 1.5721        | 11.0  | 5874  | 1.5821          | 0.2308   |
| 1.5719        | 12.0  | 6408  | 1.5807          | 0.2308   |
| 1.5682        | 13.0  | 6942  | 1.5834          | 0.2308   |
| 1.5711        | 14.0  | 7476  | 1.5808          | 0.2308   |
| 1.5701        | 15.0  | 8010  | 1.5821          | 0.2308   |
| 1.5691        | 16.0  | 8544  | 1.5822          | 0.2308   |
| 1.5686        | 17.0  | 9078  | 1.5809          | 0.2308   |
| 1.5714        | 18.0  | 9612  | 1.5798          | 0.2308   |
| 1.5699        | 19.0  | 10146 | 1.5809          | 0.2308   |
| 1.5692        | 20.0  | 10680 | 1.5805          | 0.2308   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "roberta_sst5_padding90model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us