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ICH-17-model-checkpoints

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add s222_resnet50_drop_5

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  1. seed-222/fmqk1b90-s222_resnet50_drop_5/metadata.yml +40 -0
  2. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_21_accuracy_0.6399.pth +3 -0
  3. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_21_f1_0.6211.pth +3 -0
  4. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_25_accuracy_0.6399.pth +3 -0
  5. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_25_f1_0.6123.pth +3 -0
  6. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_32_accuracy_0.6447.pth +3 -0
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  8. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_34_accuracy_0.6494.pth +3 -0
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  10. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_36_accuracy_0.6384.pth +3 -0
  11. seed-222/fmqk1b90-s222_resnet50_drop_5/model_epoch_49_f1_0.6102.pth +3 -0
  12. seed-222/fmqk1b90-s222_resnet50_drop_5/test_results.json +269 -0
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+ args:
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+ best_checkpoint_metrics:
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+ - accuracy
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+ - f1
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+ checkpoints_dir: ./checkpoints
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+ dataset_dir: data/seed-222/ICH-17-processed-3-seed-222-drop-5
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+ eval_batch_size: 64
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+ from_checkpoint: null
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+ gradient_accum_steps: 2
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+ label_smoothing: 0.1
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+ lr: 0.0001
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+ max_grad_norm: 1.0
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+ min_lr: 0.0
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+ mixed_precision: fp16
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+ model: resnet50
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+ model_ema_decay: 0.9999
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+ model_ema_warmup: false
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+ num_epochs: 50
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+ num_workers: 16
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+ run_test_only: false
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+ save_best_k: 5
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+ scheduler_T_0: 10
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+ scheduler_T_mult: 3
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+ seed: 222
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+ train_batch_size: 64
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+ use_ema: false
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+ use_mixup_cutmix: true
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+ wandb_logging: true
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+ wandb_name: s222_resnet50_drop_5
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+ wandb_notes: null
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+ wandb_project: soups
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+ wandb_resume_id: null
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+ wandb_tags: null
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+ weight_decay: 0.001
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+ wandb:
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+ id: fmqk1b90
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+ name: s222_resnet50_drop_5
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+ notes: null
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+ project: soups
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+ tags: !!python/tuple []
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