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# N_roberta_sst5_padding100model

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: 1.0766
- Accuracy: 0.5276

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5749        | 1.0   | 534   | 1.5910          | 0.2308   |
| 1.5735        | 2.0   | 1068  | 1.5793          | 0.2308   |
| 1.5724        | 3.0   | 1602  | 1.5877          | 0.2308   |
| 1.57          | 4.0   | 2136  | 1.5805          | 0.2308   |
| 1.5739        | 5.0   | 2670  | 1.5777          | 0.2864   |
| 1.5737        | 6.0   | 3204  | 1.5832          | 0.2308   |
| 1.5729        | 7.0   | 3738  | 1.5777          | 0.2864   |
| 1.5723        | 8.0   | 4272  | 1.5787          | 0.2308   |
| 1.5705        | 9.0   | 4806  | 1.5837          | 0.2308   |
| 1.5676        | 10.0  | 5340  | 1.5829          | 0.2308   |
| 1.571         | 11.0  | 5874  | 1.5809          | 0.2308   |
| 1.5711        | 12.0  | 6408  | 1.5812          | 0.2308   |
| 1.5683        | 13.0  | 6942  | 1.5837          | 0.2308   |
| 1.5704        | 14.0  | 7476  | 1.5651          | 0.2905   |
| 1.3914        | 15.0  | 8010  | 1.3341          | 0.3778   |
| 1.1892        | 16.0  | 8544  | 1.1061          | 0.5158   |
| 1.081         | 17.0  | 9078  | 1.0924          | 0.5294   |
| 1.0185        | 18.0  | 9612  | 1.0793          | 0.5403   |
| 0.9752        | 19.0  | 10146 | 1.0682          | 0.5357   |
| 0.941         | 20.0  | 10680 | 1.0766          | 0.5276   |


### 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_padding100model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us