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# FineTuning-Roberta-base_Model

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: 0.3400
- Accuracy: 0.7945

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6351        | 0.2   | 100  | 0.5536          | 0.587    |
| 0.4783        | 0.4   | 200  | 0.4386          | 0.7145   |
| 0.4252        | 0.6   | 300  | 0.4041          | 0.723    |
| 0.4068        | 0.8   | 400  | 0.3815          | 0.7415   |
| 0.3978        | 1.0   | 500  | 0.3811          | 0.7265   |
| 0.3837        | 1.2   | 600  | 0.3717          | 0.7645   |
| 0.35          | 1.4   | 700  | 0.3816          | 0.7545   |
| 0.3575        | 1.6   | 800  | 0.3403          | 0.7755   |
| 0.3437        | 1.8   | 900  | 0.3431          | 0.7805   |
| 0.3172        | 2.0   | 1000 | 0.3346          | 0.793    |
| 0.2722        | 2.2   | 1100 | 0.3535          | 0.7835   |
| 0.2792        | 2.4   | 1200 | 0.3411          | 0.7865   |
| 0.2668        | 2.6   | 1300 | 0.3328          | 0.793    |
| 0.2701        | 2.8   | 1400 | 0.3379          | 0.794    |
| 0.2651        | 3.0   | 1500 | 0.3400          | 0.7945   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

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