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ICH-17-model-checkpoints

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add s222_swin.ms_in22k_ft_in1k_drop_20

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  2. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_28_accuracy_0.7214.pth +3 -0
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  4. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_31_accuracy_0.7214.pth +3 -0
  5. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_34_accuracy_0.7196.pth +3 -0
  6. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_35_accuracy_0.7232.pth +3 -0
  7. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_35_f1_0.7007.pth +3 -0
  8. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_37_accuracy_0.7232.pth +3 -0
  9. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_37_f1_0.7024.pth +3 -0
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  11. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/model_epoch_39_f1_0.6988.pth +3 -0
  12. seed-222/241ags82-s222_swin.ms_in22k_ft_in1k_drop_20/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-20
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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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+ lr: 0.0001
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+ model: timm/swin_base_patch4_window7_224.ms_in22k_ft_in1k
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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_notes: null
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+ wandb_project: soups
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+ id: 241ags82
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+ name: s222_swin.ms_in22k_ft_in1k_drop_20
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+ notes: null
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+ project: soups
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+ tags: !!python/tuple []
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