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# roberta-base-detect-cheapfake-combined-train-test-15200-2-8

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4845
- Accuracy: 0.85
- F1: 0.8370

## 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: 5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 475  | 0.7034          | 0.75     | 0.6753 |
| 0.152         | 2.0   | 950  | 0.5275          | 0.82     | 0.7857 |
| 0.0685        | 3.0   | 1425 | 0.4589          | 0.85     | 0.8454 |
| 0.0528        | 4.0   | 1900 | 0.4657          | 0.845    | 0.8287 |
| 0.0406        | 5.0   | 2375 | 0.4845          | 0.85     | 0.8370 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-detect-cheapfake-combined-train-test-15200-2-8", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us