checkpoint-126-5ep3bsfrmulti1

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

• Loss: 0.2333
• Recall: 0.9032
• Precision: 0.875
• F1: 0.8889
• Roc Auc: 0.0933

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: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 97

Training results

Training Loss	Epoch	Step	Validation Loss	Recall	Precision	F1	Roc Auc
0.0011	1.0	97	0.2333	0.9032	0.875	0.8889	0.0933

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu118
• Datasets 2.17.0
• Tokenizers 0.15.2