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# N_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: 0.8650
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6054        | 1.0   | 597   | 0.3184          | 0.8769   |
| 0.3443        | 2.0   | 1194  | 0.2685          | 0.8974   |
| 0.2688        | 3.0   | 1791  | 0.3255          | 0.8974   |
| 0.1973        | 4.0   | 2388  | 0.4801          | 0.9020   |
| 0.1766        | 5.0   | 2985  | 0.4662          | 0.9024   |
| 0.1006        | 6.0   | 3582  | 0.5233          | 0.9020   |
| 0.0952        | 7.0   | 4179  | 0.6466          | 0.8991   |
| 0.059         | 8.0   | 4776  | 0.6995          | 0.8945   |
| 0.0509        | 9.0   | 5373  | 0.7444          | 0.8957   |
| 0.0455        | 10.0  | 5970  | 0.7315          | 0.9070   |
| 0.0373        | 11.0  | 6567  | 0.7778          | 0.8995   |
| 0.03          | 12.0  | 7164  | 0.7502          | 0.9012   |
| 0.0261        | 13.0  | 7761  | 0.7549          | 0.9100   |
| 0.0285        | 14.0  | 8358  | 0.8109          | 0.9028   |
| 0.0167        | 15.0  | 8955  | 0.8091          | 0.9054   |
| 0.009         | 16.0  | 9552  | 0.8166          | 0.9083   |
| 0.0116        | 17.0  | 10149 | 0.8317          | 0.9083   |
| 0.0059        | 18.0  | 10746 | 0.8309          | 0.9116   |
| 0.0031        | 19.0  | 11343 | 0.8648          | 0.9095   |
| 0.0026        | 20.0  | 11940 | 0.8650          | 0.9091   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "N_roberta_twitterfin_padding90model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us