artificially-natural-roberta-redone

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: 0.1389
• F1: 0.9815

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
0.1146	1.0	500	0.1384	0.9755
0.0123	2.0	1000	0.1029	0.985
0.0014	3.0	1500	0.1389	0.9815

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1