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# roberta_twitterfin_padding20model

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: 0.8844
- Accuracy: 0.9066

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5163        | 1.0   | 597   | 0.2826          | 0.8966   |
| 0.2895        | 2.0   | 1194  | 0.2524          | 0.9033   |
| 0.2395        | 3.0   | 1791  | 0.4289          | 0.8953   |
| 0.1806        | 4.0   | 2388  | 0.4055          | 0.9016   |
| 0.1585        | 5.0   | 2985  | 0.5081          | 0.8924   |
| 0.0872        | 6.0   | 3582  | 0.5860          | 0.9008   |
| 0.0754        | 7.0   | 4179  | 0.5438          | 0.9037   |
| 0.0556        | 8.0   | 4776  | 0.6639          | 0.9058   |
| 0.0587        | 9.0   | 5373  | 0.7793          | 0.8886   |
| 0.0556        | 10.0  | 5970  | 0.6942          | 0.9049   |
| 0.0315        | 11.0  | 6567  | 0.7435          | 0.9028   |
| 0.0224        | 12.0  | 7164  | 0.8157          | 0.8978   |
| 0.0299        | 13.0  | 7761  | 0.7758          | 0.9062   |
| 0.0186        | 14.0  | 8358  | 0.8350          | 0.8995   |
| 0.0127        | 15.0  | 8955  | 0.8055          | 0.9075   |
| 0.0084        | 16.0  | 9552  | 0.8329          | 0.9075   |
| 0.0075        | 17.0  | 10149 | 0.8021          | 0.9083   |
| 0.0079        | 18.0  | 10746 | 0.8627          | 0.9058   |
| 0.0055        | 19.0  | 11343 | 0.8834          | 0.9062   |
| 0.0046        | 20.0  | 11940 | 0.8844          | 0.9066   |


### 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_padding20model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us