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# N_roberta_twitterfin_padding70model

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: 0.9264
- Accuracy: 0.9037

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.524         | 1.0   | 597   | 0.2917          | 0.8890   |
| 0.3083        | 2.0   | 1194  | 0.2611          | 0.9041   |
| 0.253         | 3.0   | 1791  | 0.3960          | 0.8978   |
| 0.1889        | 4.0   | 2388  | 0.4370          | 0.8970   |
| 0.1575        | 5.0   | 2985  | 0.5243          | 0.8928   |
| 0.085         | 6.0   | 3582  | 0.5498          | 0.9037   |
| 0.0811        | 7.0   | 4179  | 0.6695          | 0.8961   |
| 0.0522        | 8.0   | 4776  | 0.6968          | 0.8924   |
| 0.0572        | 9.0   | 5373  | 0.7942          | 0.8886   |
| 0.0563        | 10.0  | 5970  | 0.7870          | 0.9028   |
| 0.0232        | 11.0  | 6567  | 0.7952          | 0.8991   |
| 0.0284        | 12.0  | 7164  | 0.8252          | 0.8995   |
| 0.0279        | 13.0  | 7761  | 0.8004          | 0.8957   |
| 0.0216        | 14.0  | 8358  | 0.8555          | 0.9020   |
| 0.0083        | 15.0  | 8955  | 0.8454          | 0.9016   |
| 0.0098        | 16.0  | 9552  | 0.9108          | 0.8945   |
| 0.0113        | 17.0  | 10149 | 0.9306          | 0.8991   |
| 0.0105        | 18.0  | 10746 | 0.8678          | 0.9070   |
| 0.0045        | 19.0  | 11343 | 0.9016          | 0.9070   |
| 0.0037        | 20.0  | 11940 | 0.9264          | 0.9037   |


### 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_padding70model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us