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# roberta_twitterfin_padding40model

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: 0.8389
- Accuracy: 0.9108

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5429        | 1.0   | 597   | 0.2829          | 0.8961   |
| 0.2944        | 2.0   | 1194  | 0.2616          | 0.9062   |
| 0.2414        | 3.0   | 1791  | 0.3387          | 0.8982   |
| 0.1879        | 4.0   | 2388  | 0.4261          | 0.8970   |
| 0.1564        | 5.0   | 2985  | 0.5924          | 0.8769   |
| 0.0782        | 6.0   | 3582  | 0.5549          | 0.9058   |
| 0.0763        | 7.0   | 4179  | 0.6590          | 0.9070   |
| 0.0541        | 8.0   | 4776  | 0.6798          | 0.9016   |
| 0.0548        | 9.0   | 5373  | 0.7395          | 0.8911   |
| 0.0461        | 10.0  | 5970  | 0.6988          | 0.9049   |
| 0.0251        | 11.0  | 6567  | 0.7858          | 0.8932   |
| 0.0276        | 12.0  | 7164  | 0.7352          | 0.9037   |
| 0.0248        | 13.0  | 7761  | 0.7340          | 0.9062   |
| 0.0174        | 14.0  | 8358  | 0.7545          | 0.9062   |
| 0.0161        | 15.0  | 8955  | 0.7781          | 0.9041   |
| 0.0069        | 16.0  | 9552  | 0.8244          | 0.9028   |
| 0.0077        | 17.0  | 10149 | 0.8292          | 0.9062   |
| 0.0061        | 18.0  | 10746 | 0.8164          | 0.9133   |
| 0.0067        | 19.0  | 11343 | 0.8413          | 0.9100   |
| 0.0053        | 20.0  | 11940 | 0.8389          | 0.9108   |


### 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_padding40model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us