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# N_roberta_twitterfin_padding80model

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: 0.9104
- Accuracy: 0.9045

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5492        | 1.0   | 597   | 0.3187          | 0.8848   |
| 0.3028        | 2.0   | 1194  | 0.2528          | 0.9054   |
| 0.2565        | 3.0   | 1791  | 0.3721          | 0.8907   |
| 0.1877        | 4.0   | 2388  | 0.4450          | 0.8991   |
| 0.1604        | 5.0   | 2985  | 0.5126          | 0.8953   |
| 0.0864        | 6.0   | 3582  | 0.6042          | 0.8987   |
| 0.068         | 7.0   | 4179  | 0.7240          | 0.8953   |
| 0.0497        | 8.0   | 4776  | 0.7586          | 0.8991   |
| 0.0459        | 9.0   | 5373  | 0.7846          | 0.9020   |
| 0.0483        | 10.0  | 5970  | 0.7701          | 0.9008   |
| 0.0319        | 11.0  | 6567  | 0.8474          | 0.8920   |
| 0.0244        | 12.0  | 7164  | 0.7441          | 0.9054   |
| 0.022         | 13.0  | 7761  | 0.7594          | 0.9079   |
| 0.0226        | 14.0  | 8358  | 0.8739          | 0.9037   |
| 0.0165        | 15.0  | 8955  | 0.8453          | 0.9020   |
| 0.0093        | 16.0  | 9552  | 0.8394          | 0.9020   |
| 0.0092        | 17.0  | 10149 | 0.8803          | 0.9054   |
| 0.0088        | 18.0  | 10746 | 0.9146          | 0.9045   |
| 0.0028        | 19.0  | 11343 | 0.9085          | 0.9020   |
| 0.0034        | 20.0  | 11940 | 0.9104          | 0.9045   |


### 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_padding80model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us