lbl-file0-fold1

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3165
• Accuracy: 0.9106
• F1: 0.9104
• Precision: 0.9105
• Recall: 0.9106
• Accuracy Label Label 0: 0.9776
• Accuracy Label Label 1: 0.9159
• Accuracy Label Label 2: 0.9187
• Accuracy Label Label 3: 0.9468
• Accuracy Label Label 4: 0.8818
• Accuracy Label Label 5: 0.9467
• Accuracy Label Label 6: 0.9016
• Accuracy Label Label 7: 0.8466
• Accuracy Label Label 8: 0.9116
• Accuracy Label Label 9: 0.8605

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.13.3