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# roberta_sst5_padding70model

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: 3.5077
- Accuracy: 0.5462

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3088        | 1.0   | 534   | 1.2556          | 0.4167   |
| 1.0332        | 2.0   | 1068  | 1.0037          | 0.5593   |
| 0.8699        | 3.0   | 1602  | 1.0976          | 0.5466   |
| 0.7538        | 4.0   | 2136  | 1.1056          | 0.5602   |
| 0.6132        | 5.0   | 2670  | 1.2243          | 0.5561   |
| 0.5149        | 6.0   | 3204  | 1.4017          | 0.5475   |
| 0.4092        | 7.0   | 3738  | 1.6807          | 0.5439   |
| 0.3229        | 8.0   | 4272  | 1.6478          | 0.5525   |
| 0.296         | 9.0   | 4806  | 1.9343          | 0.5516   |
| 0.2412        | 10.0  | 5340  | 1.9477          | 0.5389   |
| 0.231         | 11.0  | 5874  | 2.4445          | 0.5561   |
| 0.2151        | 12.0  | 6408  | 2.6489          | 0.5566   |
| 0.1803        | 13.0  | 6942  | 2.9230          | 0.5507   |
| 0.1543        | 14.0  | 7476  | 3.0641          | 0.5502   |
| 0.1257        | 15.0  | 8010  | 3.1964          | 0.5516   |
| 0.1008        | 16.0  | 8544  | 3.2186          | 0.5548   |
| 0.0865        | 17.0  | 9078  | 3.3259          | 0.5475   |
| 0.065         | 18.0  | 9612  | 3.4088          | 0.5525   |
| 0.067         | 19.0  | 10146 | 3.4669          | 0.5443   |
| 0.0549        | 20.0  | 10680 | 3.5077          | 0.5462   |


### 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_padding70model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us