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# N_roberta_twitterfin_padding100model

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: 0.8729
- Accuracy: 0.9075

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6304        | 1.0   | 597   | 0.3671          | 0.8719   |
| 0.3345        | 2.0   | 1194  | 0.2625          | 0.9020   |
| 0.2763        | 3.0   | 1791  | 0.4097          | 0.8932   |
| 0.2033        | 4.0   | 2388  | 0.3877          | 0.9020   |
| 0.1785        | 5.0   | 2985  | 0.4475          | 0.9037   |
| 0.1018        | 6.0   | 3582  | 0.4814          | 0.9087   |
| 0.0923        | 7.0   | 4179  | 0.6967          | 0.8907   |
| 0.0676        | 8.0   | 4776  | 0.6585          | 0.8961   |
| 0.0619        | 9.0   | 5373  | 0.7497          | 0.8945   |
| 0.0436        | 10.0  | 5970  | 0.7177          | 0.9049   |
| 0.0301        | 11.0  | 6567  | 0.7729          | 0.9066   |
| 0.0292        | 12.0  | 7164  | 0.7846          | 0.9028   |
| 0.0223        | 13.0  | 7761  | 0.8207          | 0.9041   |
| 0.0242        | 14.0  | 8358  | 0.7909          | 0.9049   |
| 0.0195        | 15.0  | 8955  | 0.8201          | 0.9037   |
| 0.0171        | 16.0  | 9552  | 0.8230          | 0.9070   |
| 0.0097        | 17.0  | 10149 | 0.8850          | 0.8970   |
| 0.0084        | 18.0  | 10746 | 0.8350          | 0.9075   |
| 0.0047        | 19.0  | 11343 | 0.8665          | 0.9075   |
| 0.003         | 20.0  | 11940 | 0.8729          | 0.9075   |


### 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_padding100model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us