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# artificially-natural-roberta-01

This model is a fine-tuned version of [ConnyGenz/artificially-natural-roberta](https://huggingface.co/ConnyGenz/artificially-natural-roberta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0778
- F1: 0.988

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1    |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| No log        | 1.0   | 250  | 0.2569          | 0.957 |
| 0.0304        | 2.0   | 500  | 0.1103          | 0.984 |
| 0.0304        | 3.0   | 750  | 0.0778          | 0.988 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "ConnyGenz/artificially-natural-roberta", "model-index": [{"name": "artificially-natural-roberta-01", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:ConnyGenz/artificially-natural-roberta license:mit autotrain_compatible endpoints_compatible region:us