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# roberta_sst5_padding60model

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: 3.8019
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2655        | 1.0   | 534   | 1.1383          | 0.5104   |
| 0.9941        | 2.0   | 1068  | 1.0110          | 0.5588   |
| 0.8336        | 3.0   | 1602  | 1.0624          | 0.5661   |
| 0.6969        | 4.0   | 2136  | 1.2062          | 0.5520   |
| 0.5586        | 5.0   | 2670  | 1.2584          | 0.5643   |
| 0.447         | 6.0   | 3204  | 1.5017          | 0.5624   |
| 0.3437        | 7.0   | 3738  | 1.7553          | 0.5493   |
| 0.2636        | 8.0   | 4272  | 1.8688          | 0.5557   |
| 0.224         | 9.0   | 4806  | 2.1154          | 0.5638   |
| 0.2058        | 10.0  | 5340  | 2.5540          | 0.5462   |
| 0.1692        | 11.0  | 5874  | 2.8222          | 0.5462   |
| 0.1631        | 12.0  | 6408  | 2.8802          | 0.5588   |
| 0.1285        | 13.0  | 6942  | 3.1257          | 0.5597   |
| 0.1158        | 14.0  | 7476  | 3.2779          | 0.5683   |
| 0.0863        | 15.0  | 8010  | 3.5119          | 0.5561   |
| 0.0836        | 16.0  | 8544  | 3.4229          | 0.5633   |
| 0.0604        | 17.0  | 9078  | 3.6220          | 0.5615   |
| 0.0391        | 18.0  | 9612  | 3.7717          | 0.5566   |
| 0.0399        | 19.0  | 10146 | 3.7460          | 0.5647   |
| 0.0279        | 20.0  | 10680 | 3.8019          | 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_padding60model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us