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# roberta_sst5_padding100model

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: 3.8534
- Accuracy: 0.5548

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3058        | 1.0   | 534   | 1.2845          | 0.4588   |
| 1.0163        | 2.0   | 1068  | 1.0163          | 0.5629   |
| 0.8465        | 3.0   | 1602  | 1.0217          | 0.5688   |
| 0.7225        | 4.0   | 2136  | 1.1287          | 0.5738   |
| 0.5728        | 5.0   | 2670  | 1.2625          | 0.5538   |
| 0.4591        | 6.0   | 3204  | 1.5232          | 0.5534   |
| 0.3448        | 7.0   | 3738  | 1.6822          | 0.5534   |
| 0.2719        | 8.0   | 4272  | 1.9461          | 0.5561   |
| 0.2199        | 9.0   | 4806  | 2.2640          | 0.5493   |
| 0.1999        | 10.0  | 5340  | 2.7206          | 0.5357   |
| 0.1675        | 11.0  | 5874  | 2.7918          | 0.5412   |
| 0.1516        | 12.0  | 6408  | 3.0557          | 0.5480   |
| 0.1378        | 13.0  | 6942  | 3.3166          | 0.5579   |
| 0.1           | 14.0  | 7476  | 3.5216          | 0.5557   |
| 0.08          | 15.0  | 8010  | 3.5134          | 0.5498   |
| 0.079         | 16.0  | 8544  | 3.5634          | 0.5561   |
| 0.0585        | 17.0  | 9078  | 3.6683          | 0.5597   |
| 0.0467        | 18.0  | 9612  | 3.7607          | 0.5588   |
| 0.0381        | 19.0  | 10146 | 3.8188          | 0.5570   |
| 0.0227        | 20.0  | 10680 | 3.8534          | 0.5548   |


### 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_padding100model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us