add s222_resnet50_drop_20
Browse files- seed-222/vwgu7c3c-s222_resnet50_drop_20/metadata.yml +40 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_25_f1_0.6112.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_30_accuracy_0.6476.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_30_f1_0.6114.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_31_accuracy_0.6458.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_31_f1_0.6131.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_33_accuracy_0.6476.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_33_f1_0.6149.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_34_accuracy_0.6439.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_34_f1_0.6116.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_38_accuracy_0.6439.pth +3 -0
- seed-222/vwgu7c3c-s222_resnet50_drop_20/test_results.json +269 -0
seed-222/vwgu7c3c-s222_resnet50_drop_20/metadata.yml
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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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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: 4
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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_20
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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: vwgu7c3c
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name: s222_resnet50_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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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_25_f1_0.6112.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c303d2c1cf00013db2e7a045961d7d6ac94cd0860ea9a05cde1e64cffe76bc3
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size 94495461
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_30_accuracy_0.6476.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5fbe9817ce92e8c12da4b670ce416ef9d769772c34561cf1252531767a18d006
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size 94497417
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_30_f1_0.6114.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa749badaa9008f7e2ee9622dbbc5c72b21ef23523a7571fd1d1c1e1909411f4
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size 94495461
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_31_accuracy_0.6458.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:eabeea90633b694adf941f457fa82feaafb8f385918b83d1971b149ce95b31eb
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size 94497417
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_31_f1_0.6131.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:1df6ba40e3c98abc0c63e6f27c393ee7d032a90d6cc60baddeb8e4e839e77e80
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size 94495461
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_33_accuracy_0.6476.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:4cf70517fe77f1e9516db67d1a4529035ac64281e06f527898c06b6239721692
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size 94497417
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_33_f1_0.6149.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:528d2682271d4441979714b1191c3e594e486c0cfad1dae4f378226bb8245d1d
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size 94495461
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_34_accuracy_0.6439.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e916abba962c08ec4a52150319c4815fc120d4b6f301668308b366cb9a76db12
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size 94497417
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_34_f1_0.6116.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6c4ded0a12cd9eff87819c0f8ff89188c1489da6fa0288a7ce5595e7995167f
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size 94495461
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seed-222/vwgu7c3c-s222_resnet50_drop_20/model_epoch_38_accuracy_0.6439.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ddc2da7c3bcbc98ec99c7166af6bd3d77d2dd5bf4df2983dc59c62c1ce5210e
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size 94497417
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seed-222/vwgu7c3c-s222_resnet50_drop_20/test_results.json
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{
|
| 2 |
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"./checkpoints/2025-06-14_15-24-11/model_epoch_25_f1_0.6112.pth": {
|
| 3 |
+
"loss": "1.4926",
|
| 4 |
+
"accuracy": "0.6099",
|
| 5 |
+
"precision": "0.5680",
|
| 6 |
+
"recall": "0.5653",
|
| 7 |
+
"f1": "0.5579",
|
| 8 |
+
"per_class_accuracy": {
|
| 9 |
+
"1-ok": "0.7442",
|
| 10 |
+
"10-ok": "0.4375",
|
| 11 |
+
"11-ok": "0.6000",
|
| 12 |
+
"12-ok": "0.8246",
|
| 13 |
+
"13-ok": "0.4118",
|
| 14 |
+
"14-ok": "0.9474",
|
| 15 |
+
"15-ok": "0.5610",
|
| 16 |
+
"16-ok": "0.5806",
|
| 17 |
+
"17-ok": "1.0000",
|
| 18 |
+
"2-ok": "0.2941",
|
| 19 |
+
"3-ok": "0.8824",
|
| 20 |
+
"4-ok": "0.0588",
|
| 21 |
+
"5-ok": "0.7143",
|
| 22 |
+
"6-ok": "0.5833",
|
| 23 |
+
"7-ok": "0.4571",
|
| 24 |
+
"8-ok": "0.1250",
|
| 25 |
+
"9-ok": "0.3878"
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"./checkpoints/2025-06-14_15-24-11/model_epoch_30_accuracy_0.6476.pth": {
|
| 29 |
+
"loss": "1.4747",
|
| 30 |
+
"accuracy": "0.6116",
|
| 31 |
+
"precision": "0.5662",
|
| 32 |
+
"recall": "0.5718",
|
| 33 |
+
"f1": "0.5638",
|
| 34 |
+
"per_class_accuracy": {
|
| 35 |
+
"1-ok": "0.7674",
|
| 36 |
+
"10-ok": "0.4688",
|
| 37 |
+
"11-ok": "0.6500",
|
| 38 |
+
"12-ok": "0.8246",
|
| 39 |
+
"13-ok": "0.4706",
|
| 40 |
+
"14-ok": "0.8947",
|
| 41 |
+
"15-ok": "0.6341",
|
| 42 |
+
"16-ok": "0.6129",
|
| 43 |
+
"17-ok": "0.9767",
|
| 44 |
+
"2-ok": "0.2941",
|
| 45 |
+
"3-ok": "0.8824",
|
| 46 |
+
"4-ok": "0.0588",
|
| 47 |
+
"5-ok": "0.6786",
|
| 48 |
+
"6-ok": "0.5556",
|
| 49 |
+
"7-ok": "0.4571",
|
| 50 |
+
"8-ok": "0.1875",
|
| 51 |
+
"9-ok": "0.3061"
|
| 52 |
+
}
|
| 53 |
+
},
|
| 54 |
+
"./checkpoints/2025-06-14_15-24-11/model_epoch_30_f1_0.6114.pth": {
|
| 55 |
+
"loss": "1.4747",
|
| 56 |
+
"accuracy": "0.6116",
|
| 57 |
+
"precision": "0.5662",
|
| 58 |
+
"recall": "0.5718",
|
| 59 |
+
"f1": "0.5638",
|
| 60 |
+
"per_class_accuracy": {
|
| 61 |
+
"1-ok": "0.7674",
|
| 62 |
+
"10-ok": "0.4688",
|
| 63 |
+
"11-ok": "0.6500",
|
| 64 |
+
"12-ok": "0.8246",
|
| 65 |
+
"13-ok": "0.4706",
|
| 66 |
+
"14-ok": "0.8947",
|
| 67 |
+
"15-ok": "0.6341",
|
| 68 |
+
"16-ok": "0.6129",
|
| 69 |
+
"17-ok": "0.9767",
|
| 70 |
+
"2-ok": "0.2941",
|
| 71 |
+
"3-ok": "0.8824",
|
| 72 |
+
"4-ok": "0.0588",
|
| 73 |
+
"5-ok": "0.6786",
|
| 74 |
+
"6-ok": "0.5556",
|
| 75 |
+
"7-ok": "0.4571",
|
| 76 |
+
"8-ok": "0.1875",
|
| 77 |
+
"9-ok": "0.3061"
|
| 78 |
+
}
|
| 79 |
+
},
|
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