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# roberta_sst5_padding50model

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: 3.9057
- Accuracy: 0.5593

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.38          | 1.0   | 534   | 1.2160          | 0.4516   |
| 1.0421        | 2.0   | 1068  | 1.0457          | 0.5520   |
| 0.8678        | 3.0   | 1602  | 1.0607          | 0.5570   |
| 0.7334        | 4.0   | 2136  | 1.0964          | 0.5701   |
| 0.5777        | 5.0   | 2670  | 1.2672          | 0.5665   |
| 0.4545        | 6.0   | 3204  | 1.4068          | 0.5647   |
| 0.3607        | 7.0   | 3738  | 1.6500          | 0.5643   |
| 0.2646        | 8.0   | 4272  | 1.8139          | 0.5638   |
| 0.2394        | 9.0   | 4806  | 2.0395          | 0.5561   |
| 0.1846        | 10.0  | 5340  | 2.4762          | 0.5602   |
| 0.1789        | 11.0  | 5874  | 2.8201          | 0.5471   |
| 0.1484        | 12.0  | 6408  | 2.9387          | 0.5593   |
| 0.1307        | 13.0  | 6942  | 3.2414          | 0.5629   |
| 0.1004        | 14.0  | 7476  | 3.3631          | 0.5674   |
| 0.0705        | 15.0  | 8010  | 3.5533          | 0.5584   |
| 0.0655        | 16.0  | 8544  | 3.5689          | 0.5724   |
| 0.0482        | 17.0  | 9078  | 3.7737          | 0.5593   |
| 0.0484        | 18.0  | 9612  | 3.8848          | 0.5557   |
| 0.0414        | 19.0  | 10146 | 3.8977          | 0.5588   |
| 0.0284        | 20.0  | 10680 | 3.9057          | 0.5593   |


### 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_padding50model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us