deberta-v3-small-Label_B-768-epochs-2

This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0681
• Accuracy: 0.9838
• F1: 0.9838
• Precision: 0.9839
• Recall: 0.9838

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: 6
• eval_batch_size: 6
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.0738	0.9996	2132	0.0977	0.9762	0.9762	0.9771	0.9762
0.0018	1.9993	4264	0.0681	0.9838	0.9838	0.9839	0.9838

Framework versions

• Transformers 4.41.2
• Pytorch 2.5.0+cu124
• Datasets 2.18.0
• Tokenizers 0.19.1