metadata
license: mit
base_model: roberta-base-openai-detector
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: artificially-natural-roberta
results: []
artificially-natural-roberta
This model is a fine-tuned version of roberta-base-openai-detector on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7064
- F1: 0.8400
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 | 50 | 0.3062 | 0.8400 |
| No log | 2.0 | 100 | 0.7655 | 0.845 |
| No log | 3.0 | 150 | 0.7064 | 0.8400 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0