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# roberta_twitterfin_padding90model

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: 0.8805
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5512        | 1.0   | 597   | 0.2997          | 0.8928   |
| 0.3123        | 2.0   | 1194  | 0.2733          | 0.8995   |
| 0.2562        | 3.0   | 1791  | 0.3661          | 0.8966   |
| 0.1775        | 4.0   | 2388  | 0.4987          | 0.8928   |
| 0.1582        | 5.0   | 2985  | 0.4454          | 0.9012   |
| 0.0873        | 6.0   | 3582  | 0.6893          | 0.8790   |
| 0.0842        | 7.0   | 4179  | 0.6269          | 0.8953   |
| 0.0613        | 8.0   | 4776  | 0.6677          | 0.8974   |
| 0.0602        | 9.0   | 5373  | 0.7408          | 0.8899   |
| 0.0449        | 10.0  | 5970  | 0.7288          | 0.8982   |
| 0.0304        | 11.0  | 6567  | 0.7175          | 0.9020   |
| 0.0235        | 12.0  | 7164  | 0.7441          | 0.9008   |
| 0.025         | 13.0  | 7761  | 0.7758          | 0.9024   |
| 0.0189        | 14.0  | 8358  | 0.8503          | 0.9054   |
| 0.0164        | 15.0  | 8955  | 0.9262          | 0.8936   |
| 0.0119        | 16.0  | 9552  | 0.8983          | 0.8999   |
| 0.0065        | 17.0  | 10149 | 0.8820          | 0.8991   |
| 0.0123        | 18.0  | 10746 | 0.8625          | 0.9070   |
| 0.0047        | 19.0  | 11343 | 0.8943          | 0.9028   |
| 0.0043        | 20.0  | 11940 | 0.8805          | 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_padding90model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us