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# roberta_twitterfin_padding60model

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: 0.8326
- Accuracy: 0.9091

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.608         | 1.0   | 597   | 0.3054          | 0.8819   |
| 0.3336        | 2.0   | 1194  | 0.2933          | 0.8941   |
| 0.2761        | 3.0   | 1791  | 0.3703          | 0.8953   |
| 0.2026        | 4.0   | 2388  | 0.4144          | 0.9028   |
| 0.1762        | 5.0   | 2985  | 0.5646          | 0.8765   |
| 0.1003        | 6.0   | 3582  | 0.5252          | 0.9008   |
| 0.0839        | 7.0   | 4179  | 0.7081          | 0.8915   |
| 0.0602        | 8.0   | 4776  | 0.7266          | 0.8874   |
| 0.0565        | 9.0   | 5373  | 0.6926          | 0.9003   |
| 0.054         | 10.0  | 5970  | 0.7251          | 0.9075   |
| 0.0295        | 11.0  | 6567  | 0.7756          | 0.9012   |
| 0.0273        | 12.0  | 7164  | 0.7419          | 0.9083   |
| 0.0267        | 13.0  | 7761  | 0.7496          | 0.9066   |
| 0.0285        | 14.0  | 8358  | 0.8201          | 0.8978   |
| 0.0163        | 15.0  | 8955  | 0.8301          | 0.8987   |
| 0.0132        | 16.0  | 9552  | 0.7921          | 0.9079   |
| 0.0111        | 17.0  | 10149 | 0.7980          | 0.9104   |
| 0.004         | 18.0  | 10746 | 0.8342          | 0.9095   |
| 0.0041        | 19.0  | 11343 | 0.8707          | 0.9054   |
| 0.0074        | 20.0  | 11940 | 0.8326          | 0.9091   |


### 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_padding60model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us