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# roberta_sst5_padding0model

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: 3.7599
- Accuracy: 0.5538

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2226        | 1.0   | 534   | 1.1734          | 0.4774   |
| 0.9839        | 2.0   | 1068  | 1.0370          | 0.5561   |
| 0.8147        | 3.0   | 1602  | 1.0445          | 0.5701   |
| 0.693         | 4.0   | 2136  | 1.2026          | 0.5484   |
| 0.54          | 5.0   | 2670  | 1.2741          | 0.5597   |
| 0.441         | 6.0   | 3204  | 1.5593          | 0.5367   |
| 0.3333        | 7.0   | 3738  | 1.7048          | 0.5407   |
| 0.2661        | 8.0   | 4272  | 1.9049          | 0.5548   |
| 0.2292        | 9.0   | 4806  | 2.2051          | 0.5548   |
| 0.1968        | 10.0  | 5340  | 2.3851          | 0.5507   |
| 0.1714        | 11.0  | 5874  | 2.8158          | 0.5489   |
| 0.1524        | 12.0  | 6408  | 2.9160          | 0.5471   |
| 0.1367        | 13.0  | 6942  | 3.2566          | 0.5357   |
| 0.1087        | 14.0  | 7476  | 3.3613          | 0.5525   |
| 0.0874        | 15.0  | 8010  | 3.3934          | 0.5548   |
| 0.0561        | 16.0  | 8544  | 3.5486          | 0.5584   |
| 0.0637        | 17.0  | 9078  | 3.5989          | 0.5525   |
| 0.0402        | 18.0  | 9612  | 3.7290          | 0.5548   |
| 0.036         | 19.0  | 10146 | 3.7058          | 0.5552   |
| 0.0296        | 20.0  | 10680 | 3.7599          | 0.5538   |


### 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_padding0model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us