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# roberta-base-detect-cheapfake-ca1-co2

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: 0.2524
- Accuracy: 0.94
- F1: 0.9388

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 38   | 0.6794          | 0.645    | 0.4409 |
| No log        | 2.0   | 76   | 0.4563          | 0.82     | 0.8022 |
| No log        | 3.0   | 114  | 0.3002          | 0.875    | 0.8718 |
| No log        | 4.0   | 152  | 0.3539          | 0.87     | 0.8762 |
| No log        | 5.0   | 190  | 0.2854          | 0.89     | 0.8804 |
| No log        | 6.0   | 228  | 0.2317          | 0.935    | 0.9333 |
| No log        | 7.0   | 266  | 0.2419          | 0.93     | 0.9293 |
| No log        | 8.0   | 304  | 0.2514          | 0.935    | 0.9326 |
| No log        | 9.0   | 342  | 0.2549          | 0.935    | 0.9340 |
| No log        | 10.0  | 380  | 0.2524          | 0.94     | 0.9388 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-detect-cheapfake-ca1-co2", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us