convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled

This model is a fine-tuned version of facebook/convnextv2-large-1k-224 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0398
  • Accuracy: 0.9882

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.9
  • num_epochs: 14

Training results

Training Loss Epoch Step Accuracy Validation Loss
0.5059 1.0 199 0.9001 0.4826
0.2533 2.0 398 0.9515 0.2124
0.2358 3.0 597 0.9538 0.1543
0.2584 4.0 796 0.9642 0.1136
0.1085 5.0 995 0.9746 0.0891
0.1007 6.0 1194 0.9769 0.0725
0.1463 7.0 1393 0.9840 0.0541
0.3564 8.0 1592 0.9802 0.0880
0.0957 9.0 1791 0.9656 0.1375
0.1481 10.0 1990 0.0511 0.9873
0.1536 11.0 2189 0.0827 0.9713
0.0458 12.0 2388 0.0398 0.9882
0.4956 13.0 2587 0.3474 0.8643
0.0801 14.0 2786 0.0850 0.9797

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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