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# roberta_sst5_padding80model

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: 3.5247
- Accuracy: 0.5624

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2916        | 1.0   | 534   | 1.3748          | 0.4484   |
| 1.0328        | 2.0   | 1068  | 1.0661          | 0.5317   |
| 0.8673        | 3.0   | 1602  | 1.1531          | 0.5195   |
| 0.7557        | 4.0   | 2136  | 1.1215          | 0.5692   |
| 0.6258        | 5.0   | 2670  | 1.2796          | 0.5367   |
| 0.528         | 6.0   | 3204  | 1.4486          | 0.5412   |
| 0.413         | 7.0   | 3738  | 1.5099          | 0.5511   |
| 0.3434        | 8.0   | 4272  | 1.6205          | 0.5552   |
| 0.2961        | 9.0   | 4806  | 1.7024          | 0.5394   |
| 0.2508        | 10.0  | 5340  | 2.1916          | 0.5398   |
| 0.2382        | 11.0  | 5874  | 2.5628          | 0.5357   |
| 0.1928        | 12.0  | 6408  | 2.6311          | 0.5534   |
| 0.1934        | 13.0  | 6942  | 2.9223          | 0.5489   |
| 0.157         | 14.0  | 7476  | 3.1200          | 0.5493   |
| 0.1235        | 15.0  | 8010  | 3.1288          | 0.5498   |
| 0.0967        | 16.0  | 8544  | 3.2570          | 0.5620   |
| 0.0911        | 17.0  | 9078  | 3.3236          | 0.5606   |
| 0.0698        | 18.0  | 9612  | 3.4772          | 0.5575   |
| 0.0595        | 19.0  | 10146 | 3.4699          | 0.5656   |
| 0.0579        | 20.0  | 10680 | 3.5247          | 0.5624   |


### 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_padding80model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us