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# N_roberta_sst5_padding50model

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: 2.9458
- Accuracy: 0.5321

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5748        | 1.0   | 534   | 1.5892          | 0.2308   |
| 1.5742        | 2.0   | 1068  | 1.5757          | 0.3023   |
| 1.4713        | 3.0   | 1602  | 1.1312          | 0.4742   |
| 1.1254        | 4.0   | 2136  | 1.1239          | 0.5267   |
| 0.9762        | 5.0   | 2670  | 1.0890          | 0.5353   |
| 0.8536        | 6.0   | 3204  | 1.1455          | 0.5425   |
| 0.7226        | 7.0   | 3738  | 1.2372          | 0.5312   |
| 0.6262        | 8.0   | 4272  | 1.3701          | 0.5380   |
| 0.5263        | 9.0   | 4806  | 1.3611          | 0.5457   |
| 0.455         | 10.0  | 5340  | 1.5596          | 0.5290   |
| 0.3977        | 11.0  | 5874  | 1.7496          | 0.5158   |
| 0.3475        | 12.0  | 6408  | 1.8187          | 0.5276   |
| 0.2946        | 13.0  | 6942  | 2.1163          | 0.5312   |
| 0.2805        | 14.0  | 7476  | 2.3352          | 0.5290   |
| 0.2319        | 15.0  | 8010  | 2.5428          | 0.5253   |
| 0.2274        | 16.0  | 8544  | 2.6192          | 0.5208   |
| 0.1894        | 17.0  | 9078  | 2.7966          | 0.5267   |
| 0.1865        | 18.0  | 9612  | 2.8428          | 0.5326   |
| 0.1706        | 19.0  | 10146 | 2.9123          | 0.5317   |
| 0.142         | 20.0  | 10680 | 2.9458          | 0.5321   |


### 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_padding50model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us