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# N_roberta_sst5_padding30model

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: 3.5511
- Accuracy: 0.5647

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4421        | 1.0   | 534   | 1.1883          | 0.4525   |
| 1.0818        | 2.0   | 1068  | 1.0264          | 0.5471   |
| 0.9047        | 3.0   | 1602  | 1.0223          | 0.5593   |
| 0.7803        | 4.0   | 2136  | 1.1087          | 0.5561   |
| 0.6307        | 5.0   | 2670  | 1.3012          | 0.5434   |
| 0.5203        | 6.0   | 3204  | 1.3949          | 0.5638   |
| 0.4113        | 7.0   | 3738  | 1.6258          | 0.5561   |
| 0.319         | 8.0   | 4272  | 1.6429          | 0.5706   |
| 0.2758        | 9.0   | 4806  | 1.8020          | 0.5606   |
| 0.225         | 10.0  | 5340  | 2.2183          | 0.5552   |
| 0.2068        | 11.0  | 5874  | 2.6069          | 0.5376   |
| 0.1818        | 12.0  | 6408  | 2.7364          | 0.5511   |
| 0.1518        | 13.0  | 6942  | 2.9808          | 0.5570   |
| 0.1545        | 14.0  | 7476  | 3.2431          | 0.5624   |
| 0.096         | 15.0  | 8010  | 3.2850          | 0.5606   |
| 0.0852        | 16.0  | 8544  | 3.4121          | 0.5597   |
| 0.0698        | 17.0  | 9078  | 3.4816          | 0.5652   |
| 0.0541        | 18.0  | 9612  | 3.5019          | 0.5692   |
| 0.0453        | 19.0  | 10146 | 3.5686          | 0.5670   |
| 0.038         | 20.0  | 10680 | 3.5511          | 0.5647   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "N_roberta_sst5_padding30model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us