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# roberta_sst2_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: 0.4756
- Accuracy: 0.9467

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 433  | 0.1945          | 0.9193   |
| 0.347         | 2.0   | 866  | 0.4578          | 0.9121   |
| 0.2005        | 3.0   | 1299 | 0.2934          | 0.9319   |
| 0.1211        | 4.0   | 1732 | 0.3157          | 0.9407   |
| 0.0719        | 5.0   | 2165 | 0.3519          | 0.9396   |
| 0.0425        | 6.0   | 2598 | 0.3947          | 0.9379   |
| 0.028         | 7.0   | 3031 | 0.5409          | 0.9275   |
| 0.028         | 8.0   | 3464 | 0.5252          | 0.9275   |
| 0.0204        | 9.0   | 3897 | 0.4965          | 0.9341   |
| 0.03          | 10.0  | 4330 | 0.4417          | 0.9401   |
| 0.0189        | 11.0  | 4763 | 0.3982          | 0.9429   |
| 0.0146        | 12.0  | 5196 | 0.4508          | 0.9429   |
| 0.0075        | 13.0  | 5629 | 0.4806          | 0.9407   |
| 0.0106        | 14.0  | 6062 | 0.4549          | 0.9456   |
| 0.0106        | 15.0  | 6495 | 0.4606          | 0.9478   |
| 0.0072        | 16.0  | 6928 | 0.5123          | 0.9407   |
| 0.0071        | 17.0  | 7361 | 0.4453          | 0.9500   |
| 0.0017        | 18.0  | 7794 | 0.5241          | 0.9440   |
| 0.0023        | 19.0  | 8227 | 0.4587          | 0.9473   |
| 0.0017        | 20.0  | 8660 | 0.4756          | 0.9467   |


### 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_sst2_padding100model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us