metadata
license: mit
base_model: roberta-base-openai-detector
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: train_debug
results: []
train_debug
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: 0.1216
- Accuracy: 0.982
- Roc Auc: 0.9769
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc |
|---|---|---|---|---|---|
| 0.0743 | 1.0 | 1250 | 0.0755 | 0.988 | 0.9855 |
| 0.0423 | 2.0 | 2500 | 0.1216 | 0.982 | 0.9769 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1