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# N_roberta_sst5_padding40model

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: 3.6174
- Accuracy: 0.5552

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3242        | 1.0   | 534   | 1.1718          | 0.4973   |
| 1.021         | 2.0   | 1068  | 1.0277          | 0.5643   |
| 0.8685        | 3.0   | 1602  | 1.0361          | 0.5588   |
| 0.7377        | 4.0   | 2136  | 1.1282          | 0.5602   |
| 0.5968        | 5.0   | 2670  | 1.2513          | 0.5597   |
| 0.4867        | 6.0   | 3204  | 1.4148          | 0.5611   |
| 0.3856        | 7.0   | 3738  | 1.5733          | 0.5489   |
| 0.305         | 8.0   | 4272  | 1.7751          | 0.5443   |
| 0.2631        | 9.0   | 4806  | 1.9540          | 0.5498   |
| 0.223         | 10.0  | 5340  | 2.2826          | 0.5326   |
| 0.1976        | 11.0  | 5874  | 2.3130          | 0.5548   |
| 0.1666        | 12.0  | 6408  | 2.6703          | 0.5611   |
| 0.144         | 13.0  | 6942  | 3.0894          | 0.5557   |
| 0.1196        | 14.0  | 7476  | 3.1486          | 0.5557   |
| 0.1016        | 15.0  | 8010  | 3.3404          | 0.5516   |
| 0.0653        | 16.0  | 8544  | 3.4713          | 0.5421   |
| 0.0691        | 17.0  | 9078  | 3.5334          | 0.5507   |
| 0.0483        | 18.0  | 9612  | 3.5719          | 0.5534   |
| 0.0438        | 19.0  | 10146 | 3.6175          | 0.5543   |
| 0.0439        | 20.0  | 10680 | 3.6174          | 0.5552   |


### 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_padding40model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us