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# roberta_twitterfin_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: 0.8974
- Accuracy: 0.9062

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6161        | 1.0   | 597   | 0.3067          | 0.8836   |
| 0.3154        | 2.0   | 1194  | 0.2813          | 0.9003   |
| 0.2524        | 3.0   | 1791  | 0.4237          | 0.8903   |
| 0.191         | 4.0   | 2388  | 0.3915          | 0.8974   |
| 0.1607        | 5.0   | 2985  | 0.5921          | 0.8794   |
| 0.0813        | 6.0   | 3582  | 0.6027          | 0.8920   |
| 0.0867        | 7.0   | 4179  | 0.7093          | 0.8882   |
| 0.0601        | 8.0   | 4776  | 0.6902          | 0.8920   |
| 0.0578        | 9.0   | 5373  | 0.7902          | 0.8886   |
| 0.0565        | 10.0  | 5970  | 0.7581          | 0.9003   |
| 0.0322        | 11.0  | 6567  | 0.8172          | 0.8945   |
| 0.0189        | 12.0  | 7164  | 0.7463          | 0.8961   |
| 0.0283        | 13.0  | 7761  | 0.7960          | 0.9054   |
| 0.0219        | 14.0  | 8358  | 0.8057          | 0.9033   |
| 0.0168        | 15.0  | 8955  | 0.7975          | 0.9075   |
| 0.0103        | 16.0  | 9552  | 0.8289          | 0.9012   |
| 0.0074        | 17.0  | 10149 | 0.8471          | 0.9037   |
| 0.0083        | 18.0  | 10746 | 0.8944          | 0.9041   |
| 0.0061        | 19.0  | 11343 | 0.8967          | 0.9049   |
| 0.0019        | 20.0  | 11940 | 0.8974          | 0.9062   |


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