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# roberta_sst5_padding20model

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: 3.8273
- Accuracy: 0.5688

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2307        | 1.0   | 534   | 1.2559          | 0.4489   |
| 0.9732        | 2.0   | 1068  | 1.0476          | 0.5557   |
| 0.8222        | 3.0   | 1602  | 1.0850          | 0.5606   |
| 0.6916        | 4.0   | 2136  | 1.2357          | 0.5434   |
| 0.5447        | 5.0   | 2670  | 1.3221          | 0.5480   |
| 0.4339        | 6.0   | 3204  | 1.4764          | 0.5575   |
| 0.3467        | 7.0   | 3738  | 1.7786          | 0.5430   |
| 0.2612        | 8.0   | 4272  | 1.8505          | 0.5529   |
| 0.2177        | 9.0   | 4806  | 2.2441          | 0.5579   |
| 0.1935        | 10.0  | 5340  | 2.5254          | 0.5629   |
| 0.1837        | 11.0  | 5874  | 2.8216          | 0.5570   |
| 0.1332        | 12.0  | 6408  | 2.9686          | 0.5593   |
| 0.1321        | 13.0  | 6942  | 3.2822          | 0.5561   |
| 0.1078        | 14.0  | 7476  | 3.3137          | 0.5493   |
| 0.08          | 15.0  | 8010  | 3.4707          | 0.5629   |
| 0.0673        | 16.0  | 8544  | 3.6022          | 0.5661   |
| 0.0566        | 17.0  | 9078  | 3.6736          | 0.5561   |
| 0.0464        | 18.0  | 9612  | 3.7873          | 0.5597   |
| 0.0365        | 19.0  | 10146 | 3.8058          | 0.5706   |
| 0.0313        | 20.0  | 10680 | 3.8273          | 0.5688   |


### 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_padding20model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us