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# 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: 3.7057
- Accuracy: 0.5620

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2915        | 1.0   | 534   | 1.3392          | 0.4199   |
| 1.0328        | 2.0   | 1068  | 1.0073          | 0.5679   |
| 0.8737        | 3.0   | 1602  | 1.0071          | 0.5855   |
| 0.7544        | 4.0   | 2136  | 1.1617          | 0.5552   |
| 0.6062        | 5.0   | 2670  | 1.2311          | 0.5588   |
| 0.4991        | 6.0   | 3204  | 1.4888          | 0.5516   |
| 0.4032        | 7.0   | 3738  | 1.5889          | 0.5498   |
| 0.3291        | 8.0   | 4272  | 1.6908          | 0.5597   |
| 0.2557        | 9.0   | 4806  | 1.9047          | 0.5593   |
| 0.2262        | 10.0  | 5340  | 2.1743          | 0.5502   |
| 0.1997        | 11.0  | 5874  | 2.4720          | 0.5534   |
| 0.1719        | 12.0  | 6408  | 2.7418          | 0.5633   |
| 0.1584        | 13.0  | 6942  | 2.9747          | 0.5665   |
| 0.1423        | 14.0  | 7476  | 3.2228          | 0.5543   |
| 0.1016        | 15.0  | 8010  | 3.4270          | 0.5475   |
| 0.0865        | 16.0  | 8544  | 3.4458          | 0.5611   |
| 0.0655        | 17.0  | 9078  | 3.6376          | 0.5552   |
| 0.0486        | 18.0  | 9612  | 3.6493          | 0.5579   |
| 0.0446        | 19.0  | 10146 | 3.7012          | 0.5611   |
| 0.0395        | 20.0  | 10680 | 3.7057          | 0.5620   |


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