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# N_roberta_sst5_padding20model

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: 3.8874
- Accuracy: 0.5665

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2989        | 1.0   | 534   | 1.1466          | 0.5077   |
| 1.0029        | 2.0   | 1068  | 0.9966          | 0.5647   |
| 0.8473        | 3.0   | 1602  | 1.0603          | 0.5674   |
| 0.7264        | 4.0   | 2136  | 1.1194          | 0.5647   |
| 0.5747        | 5.0   | 2670  | 1.2826          | 0.5493   |
| 0.4677        | 6.0   | 3204  | 1.4385          | 0.5638   |
| 0.3581        | 7.0   | 3738  | 1.6142          | 0.5552   |
| 0.2666        | 8.0   | 4272  | 1.8359          | 0.5611   |
| 0.2181        | 9.0   | 4806  | 2.1608          | 0.5471   |
| 0.1815        | 10.0  | 5340  | 2.3635          | 0.5543   |
| 0.1629        | 11.0  | 5874  | 2.8433          | 0.5489   |
| 0.1448        | 12.0  | 6408  | 3.1203          | 0.5525   |
| 0.107         | 13.0  | 6942  | 3.1453          | 0.5710   |
| 0.1121        | 14.0  | 7476  | 3.5024          | 0.5620   |
| 0.0853        | 15.0  | 8010  | 3.4952          | 0.5688   |
| 0.0669        | 16.0  | 8544  | 3.6617          | 0.5588   |
| 0.0426        | 17.0  | 9078  | 3.7870          | 0.5647   |
| 0.0445        | 18.0  | 9612  | 3.9028          | 0.5584   |
| 0.0377        | 19.0  | 10146 | 3.8831          | 0.5674   |
| 0.0228        | 20.0  | 10680 | 3.8874          | 0.5665   |


### 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_padding20model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us