synthetic_training_output_v0

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1271
• Accuracy: 0.9857
• Precision: 0.9727
• Recall: 0.9881
• F1: 0.9803
• Roc Auc: 0.9975

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	Accuracy	Precision	Recall	F1	Roc Auc
0.0096	2.0	250	0.1251	0.9871	0.9728	0.9921	0.9823	0.9976

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1