
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta_sst5_padding30model

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: 3.7712
- Accuracy: 0.5674

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2819        | 1.0   | 534   | 1.1781          | 0.4683   |
| 1.0082        | 2.0   | 1068  | 0.9981          | 0.5715   |
| 0.8514        | 3.0   | 1602  | 1.0001          | 0.5715   |
| 0.7126        | 4.0   | 2136  | 1.1284          | 0.5665   |
| 0.582         | 5.0   | 2670  | 1.3241          | 0.5462   |
| 0.4655        | 6.0   | 3204  | 1.4761          | 0.5466   |
| 0.3524        | 7.0   | 3738  | 1.6291          | 0.5457   |
| 0.2865        | 8.0   | 4272  | 1.9088          | 0.5335   |
| 0.2393        | 9.0   | 4806  | 2.0502          | 0.5538   |
| 0.2127        | 10.0  | 5340  | 2.3658          | 0.5516   |
| 0.1828        | 11.0  | 5874  | 2.9156          | 0.5493   |
| 0.1483        | 12.0  | 6408  | 2.9242          | 0.5566   |
| 0.1433        | 13.0  | 6942  | 3.2224          | 0.5362   |
| 0.1184        | 14.0  | 7476  | 3.3634          | 0.5502   |
| 0.1026        | 15.0  | 8010  | 3.4638          | 0.5602   |
| 0.0826        | 16.0  | 8544  | 3.5596          | 0.5511   |
| 0.0571        | 17.0  | 9078  | 3.5359          | 0.5710   |
| 0.0416        | 18.0  | 9612  | 3.7094          | 0.5579   |
| 0.0345        | 19.0  | 10146 | 3.7244          | 0.5674   |
| 0.0297        | 20.0  | 10680 | 3.7712          | 0.5674   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "roberta_sst5_padding30model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us