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# roberta_twitterfin_padding0model

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: 0.8513
- Accuracy: 0.9125

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4832        | 1.0   | 597   | 0.3170          | 0.8848   |
| 0.2872        | 2.0   | 1194  | 0.2886          | 0.8974   |
| 0.232         | 3.0   | 1791  | 0.4198          | 0.8903   |
| 0.17          | 4.0   | 2388  | 0.4127          | 0.8982   |
| 0.1468        | 5.0   | 2985  | 0.4876          | 0.8899   |
| 0.0703        | 6.0   | 3582  | 0.5594          | 0.8991   |
| 0.0721        | 7.0   | 4179  | 0.6904          | 0.9012   |
| 0.0555        | 8.0   | 4776  | 0.7335          | 0.8907   |
| 0.0458        | 9.0   | 5373  | 0.7312          | 0.8978   |
| 0.0409        | 10.0  | 5970  | 0.7976          | 0.8982   |
| 0.0302        | 11.0  | 6567  | 0.7327          | 0.9012   |
| 0.0228        | 12.0  | 7164  | 0.7153          | 0.9058   |
| 0.021         | 13.0  | 7761  | 0.7794          | 0.9041   |
| 0.0156        | 14.0  | 8358  | 0.8214          | 0.9028   |
| 0.0198        | 15.0  | 8955  | 0.7953          | 0.9079   |
| 0.0096        | 16.0  | 9552  | 0.8087          | 0.9095   |
| 0.0112        | 17.0  | 10149 | 0.8202          | 0.9112   |
| 0.0083        | 18.0  | 10746 | 0.8334          | 0.9129   |
| 0.0071        | 19.0  | 11343 | 0.8517          | 0.9112   |
| 0.0019        | 20.0  | 11940 | 0.8513          | 0.9125   |


### 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_padding0model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us