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# roberta_sst5_padding10model

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: 3.7178
- Accuracy: 0.5575

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2481        | 1.0   | 534   | 1.2717          | 0.4719   |
| 0.9994        | 2.0   | 1068  | 0.9912          | 0.5629   |
| 0.829         | 3.0   | 1602  | 1.1247          | 0.5457   |
| 0.6975        | 4.0   | 2136  | 1.1001          | 0.5692   |
| 0.5603        | 5.0   | 2670  | 1.3026          | 0.5561   |
| 0.4561        | 6.0   | 3204  | 1.4568          | 0.5620   |
| 0.3672        | 7.0   | 3738  | 1.7943          | 0.5439   |
| 0.2788        | 8.0   | 4272  | 1.8506          | 0.5430   |
| 0.2456        | 9.0   | 4806  | 1.9547          | 0.5516   |
| 0.2136        | 10.0  | 5340  | 2.5049          | 0.5403   |
| 0.1865        | 11.0  | 5874  | 2.6391          | 0.5575   |
| 0.1575        | 12.0  | 6408  | 3.0275          | 0.5421   |
| 0.1384        | 13.0  | 6942  | 3.1505          | 0.5520   |
| 0.1218        | 14.0  | 7476  | 3.2313          | 0.5566   |
| 0.0923        | 15.0  | 8010  | 3.4303          | 0.5457   |
| 0.0734        | 16.0  | 8544  | 3.4973          | 0.5493   |
| 0.0646        | 17.0  | 9078  | 3.5374          | 0.5597   |
| 0.0533        | 18.0  | 9612  | 3.6683          | 0.5597   |
| 0.0373        | 19.0  | 10146 | 3.7188          | 0.5575   |
| 0.0356        | 20.0  | 10680 | 3.7178          | 0.5575   |


### 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_padding10model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us