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# N_roberta_sst5_padding60model

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: 1.3783
- Accuracy: 0.4276

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5765        | 1.0   | 534   | 1.5921          | 0.2308   |
| 1.5735        | 2.0   | 1068  | 1.5832          | 0.2308   |
| 1.572         | 3.0   | 1602  | 1.5875          | 0.2308   |
| 1.5702        | 4.0   | 2136  | 1.5799          | 0.2308   |
| 1.5752        | 5.0   | 2670  | 1.5783          | 0.2864   |
| 1.574         | 6.0   | 3204  | 1.5806          | 0.2308   |
| 1.5722        | 7.0   | 3738  | 1.5792          | 0.2308   |
| 1.5711        | 8.0   | 4272  | 1.5805          | 0.2308   |
| 1.5703        | 9.0   | 4806  | 1.5822          | 0.2308   |
| 1.5676        | 10.0  | 5340  | 1.5820          | 0.2308   |
| 1.5733        | 11.0  | 5874  | 1.5823          | 0.2308   |
| 1.5716        | 12.0  | 6408  | 1.5820          | 0.2308   |
| 1.5698        | 13.0  | 6942  | 1.5816          | 0.2308   |
| 1.5708        | 14.0  | 7476  | 1.5834          | 0.2308   |
| 1.5701        | 15.0  | 8010  | 1.5816          | 0.2308   |
| 1.5699        | 16.0  | 8544  | 1.5806          | 0.2308   |
| 1.5704        | 17.0  | 9078  | 1.5808          | 0.2308   |
| 1.5168        | 18.0  | 9612  | 1.4289          | 0.4167   |
| 1.4215        | 19.0  | 10146 | 1.3884          | 0.4231   |
| 1.3879        | 20.0  | 10680 | 1.3783          | 0.4276   |


### 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_padding60model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us