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# roberta_twitterfin_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: 0.8837
- Accuracy: 0.9028

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5436        | 1.0   | 597   | 0.3085          | 0.8882   |
| 0.3068        | 2.0   | 1194  | 0.2728          | 0.8966   |
| 0.2493        | 3.0   | 1791  | 0.3792          | 0.8790   |
| 0.1773        | 4.0   | 2388  | 0.4012          | 0.8903   |
| 0.161         | 5.0   | 2985  | 0.5754          | 0.8857   |
| 0.0881        | 6.0   | 3582  | 0.5561          | 0.8970   |
| 0.0692        | 7.0   | 4179  | 0.6362          | 0.9020   |
| 0.0562        | 8.0   | 4776  | 0.7064          | 0.8865   |
| 0.0531        | 9.0   | 5373  | 0.8704          | 0.8794   |
| 0.0393        | 10.0  | 5970  | 0.7548          | 0.9020   |
| 0.0246        | 11.0  | 6567  | 0.8874          | 0.8798   |
| 0.0323        | 12.0  | 7164  | 0.7815          | 0.8974   |
| 0.0245        | 13.0  | 7761  | 0.8276          | 0.9058   |
| 0.0279        | 14.0  | 8358  | 0.7921          | 0.9083   |
| 0.0194        | 15.0  | 8955  | 0.8531          | 0.8999   |
| 0.0125        | 16.0  | 9552  | 0.8517          | 0.9024   |
| 0.0117        | 17.0  | 10149 | 0.8547          | 0.8991   |
| 0.0057        | 18.0  | 10746 | 0.8639          | 0.9028   |
| 0.0082        | 19.0  | 11343 | 0.8794          | 0.9028   |
| 0.0068        | 20.0  | 11940 | 0.8837          | 0.9028   |


### 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_twitterfin_padding30model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us