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# N_roberta_sst5_padding70model

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: 3.5445
- Accuracy: 0.5421

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3521        | 1.0   | 534   | 1.3056          | 0.4149   |
| 1.0582        | 2.0   | 1068  | 1.0707          | 0.5281   |
| 0.8976        | 3.0   | 1602  | 1.0814          | 0.5380   |
| 0.7673        | 4.0   | 2136  | 1.1237          | 0.5602   |
| 0.6478        | 5.0   | 2670  | 1.2495          | 0.5439   |
| 0.5279        | 6.0   | 3204  | 1.3878          | 0.5448   |
| 0.4228        | 7.0   | 3738  | 1.5626          | 0.5357   |
| 0.3393        | 8.0   | 4272  | 1.7503          | 0.5195   |
| 0.282         | 9.0   | 4806  | 1.8795          | 0.5443   |
| 0.2473        | 10.0  | 5340  | 2.1451          | 0.5312   |
| 0.2186        | 11.0  | 5874  | 2.3606          | 0.5380   |
| 0.1938        | 12.0  | 6408  | 2.8212          | 0.5353   |
| 0.1642        | 13.0  | 6942  | 3.0636          | 0.5371   |
| 0.1602        | 14.0  | 7476  | 3.0900          | 0.5421   |
| 0.116         | 15.0  | 8010  | 3.2026          | 0.5471   |
| 0.0971        | 16.0  | 8544  | 3.2785          | 0.5376   |
| 0.0667        | 17.0  | 9078  | 3.3938          | 0.5448   |
| 0.07          | 18.0  | 9612  | 3.5817          | 0.5326   |
| 0.0633        | 19.0  | 10146 | 3.4982          | 0.5475   |
| 0.0608        | 20.0  | 10680 | 3.5445          | 0.5421   |


### 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_padding70model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us