Hugging Face's logo

KhangTruong
/
Testing-model

Image Segmentation
PyTorch
sid-unet
synthetic-image-detection
diffusion-detection
Model card Files
xet
 Community
KhangTruong commited on
Commit
9b86af9
·
verified ·
1 Parent(s): 788c2cf

feat(release): final training report and checkpoints for KhangTruong/Testing-model (v1)

Browse files
Files changed (36) hide show
  1. README.md +1 -1
  2. checkpoints/checkpoint_best.pt +2 -2
  3. checkpoints/checkpoint_best_config.yaml +1 -1
  4. checkpoints/checkpoint_latest.pt +2 -2
  5. checkpoints/checkpoint_latest_config.yaml +1 -1
  6. checkpoints/checkpoint_periodic.pt +3 -0
  7. checkpoints/checkpoint_periodic_config.yaml +120 -0
  8. checkpoints/effective_config.yaml +1 -1
  9. config.yaml +1 -1
  10. manifest.json +5 -4
  11. reports/test_evaluation_report.json +10 -10
  12. reports/test_evaluation_report.md +5 -5
  13. reports/training_curves.jpg +2 -2
  14. reports/training_curves.pdf +0 -0
  15. reports/training_curves.png +2 -2
  16. reports/training_final_report.json +77 -31
  17. reports/training_final_report.md +9 -8
  18. reports/training_history.csv +2 -1
  19. reports/training_history.json +66 -20
  20. versions/v1/checkpoint_best_config.yaml +1 -1
  21. versions/v1/checkpoint_latest_config.yaml +1 -1
  22. versions/v1/checkpoint_periodic_config.yaml +120 -0
  23. versions/v1/checkpoints/checkpoint_best.pt +2 -2
  24. versions/v1/checkpoints/checkpoint_latest.pt +2 -2
  25. versions/v1/checkpoints/checkpoint_periodic.pt +3 -0
  26. versions/v1/effective_config.yaml +1 -1
  27. versions/v1/manifest.json +5 -4
  28. versions/v1/reports/test_evaluation_report.json +10 -10
  29. versions/v1/reports/test_evaluation_report.md +5 -5
  30. versions/v1/reports/training_curves.jpg +2 -2
  31. versions/v1/reports/training_curves.pdf +0 -0
  32. versions/v1/reports/training_curves.png +2 -2
  33. versions/v1/reports/training_final_report.json +77 -31
  34. versions/v1/reports/training_final_report.md +9 -8
  35. versions/v1/reports/training_history.csv +2 -1
  36. versions/v1/reports/training_history.json +66 -20
README.md CHANGED
@@ -22,7 +22,7 @@ Official repository for **Testing-model** checkpoints, evaluated on AI-generated
22
 
23
  - **Active Version:** `v1`
24
  - **Best Validation Score:** `0.6` (Epoch `1`)
25
- - **Total Training Epochs:** `1`
26
 
27
  ---
28
 
 
22
 
23
  - **Active Version:** `v1`
24
  - **Best Validation Score:** `0.6` (Epoch `1`)
25
+ - **Total Training Epochs:** `2`
26
 
27
  ---
28
 
checkpoints/checkpoint_best.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a9172bf7d3e6103e1b5a3f72fafb499bd31cef50412504f57501c9bb3bae43a4
3
- size 217443
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b16091a0d393b82e510e0abd22b214f8ca99aacfc1bc6b0fcadee4c5ff5afdc
3
+ size 218403
checkpoints/checkpoint_best_config.yaml CHANGED
@@ -2,7 +2,7 @@ project:
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
- output_dir: /tmp/tmp08k8509s/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
 
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
checkpoints/checkpoint_latest.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a40f37c060ab46b418b0e7ae2ec1c17db6b65f29ff9b38bfcb64630e174cdbd3
3
- size 217771
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc30f763f355257a1f4c6b34e60e26cf1a0ace79b872c3b940fa93d27f75692e
3
+ size 218731
checkpoints/checkpoint_latest_config.yaml CHANGED
@@ -2,7 +2,7 @@ project:
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
- output_dir: /tmp/tmp08k8509s/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
 
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
checkpoints/checkpoint_periodic.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fa61ad98ebc219d8f23424da395d783221cf197d6ba91fd92dc7420cdfbd790
3
+ size 218099
checkpoints/checkpoint_periodic_config.yaml ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ project:
2
+ name: test_smoke
3
+ seed: 42
4
+ device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
+ hub_repo: null
7
+ resume_repo: null
8
+ data:
9
+ dataset_name: KhangTruong/IMD2020
10
+ streaming: false
11
+ image_size:
12
+ - 32
13
+ - 32
14
+ batch_size: 16
15
+ num_workers: 0
16
+ pin_memory: false
17
+ shuffle_buffer_size: 1000
18
+ train_split: train
19
+ val_split: validation
20
+ test_split: test
21
+ eval_split: test
22
+ train_samples_per_epoch: 2
23
+ val_samples_per_epoch: -1
24
+ val_samples: 2
25
+ test_samples: 2
26
+ evaluate_on_test: true
27
+ augmentations:
28
+ horizontal_flip: 0.5
29
+ vertical_flip: 0.0
30
+ random_rotate90: 0.0
31
+ color_jitter: 0.0
32
+ base_batch_size: 16
33
+ num_gpus: 1
34
+ _batch_size_scaled: true
35
+ model:
36
+ name: unet
37
+ in_channels: 3
38
+ out_channels: 1
39
+ features:
40
+ - 8
41
+ - 16
42
+ bilinear: true
43
+ dropout: 0.0
44
+ aux_classifier: false
45
+ num_classes: 3
46
+ gradient_checkpointing: false
47
+ loss:
48
+ mask_loss_type: combined
49
+ bce_weight: 0.5
50
+ dice_weight: 0.5
51
+ focal_weight: 0.5
52
+ focal_gamma: 2.0
53
+ focal_alpha: 0.25
54
+ aux_loss_type: cross_entropy
55
+ aux_weight: 0.2
56
+ training:
57
+ epochs: 1
58
+ learning_rate: 0.001
59
+ weight_decay: 0.0001
60
+ optimizer: adamw
61
+ use_8bit_optimizer: false
62
+ check_8bit_compatibility: true
63
+ fallback_to_16bit: true
64
+ fallback_on_unsupported_8bit: true
65
+ scheduler: cosine
66
+ resume_lr_mode: auto
67
+ resume_lr: null
68
+ warmup_epochs: 1
69
+ min_lr: 1.0e-06
70
+ grad_clip_norm: 1.0
71
+ amp: false
72
+ gradient_accumulation_steps: 1
73
+ data_parallel: false
74
+ use_hard_mining: false
75
+ auto_batch_size: true
76
+ empty_cache_per_epoch: true
77
+ save_best: true
78
+ save_latest: true
79
+ checkpoint_period: 3600
80
+ eval_interval: 1
81
+ early_stopping_patience: 2
82
+ early_stopping_metric: val_iou
83
+ early_stopping_mode: max
84
+ push_to_hub: true
85
+ hub_repo: KhangTruong/Testing-model
86
+ hub_version: v1
87
+ batch_size: 2
88
+ hf_repo: KhangTruong/Testing-model
89
+ num_gpus: 1
90
+ hard_mining:
91
+ enabled: false
92
+ metric: median
93
+ reset_epochs: 5
94
+ bootstrapping:
95
+ enabled: false
96
+ run_bootstrap: false
97
+ epochs: 5
98
+ num_samples: 512
99
+ batch_size: null
100
+ learning_rate: null
101
+ freeze_strategy: channel_stream
102
+ stream_ratio: 0.5
103
+ release_mode: restore
104
+ freeze_modules: []
105
+ initialization: kaiming_normal
106
+ target_score: 0.5
107
+ min_loss_drop: 0.15
108
+ early_stopping: false
109
+ patience: 3
110
+ logging:
111
+ log_interval: 1
112
+ log_memory: true
113
+ measure_network: true
114
+ post_processing:
115
+ enabled: true
116
+ min_area: 64
117
+ fill_holes: true
118
+ max_hole_size: 256
119
+ morphology: open_close
120
+ morph_kernel_size: 3
checkpoints/effective_config.yaml CHANGED
@@ -2,7 +2,7 @@ project:
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
- output_dir: /tmp/tmp08k8509s/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
 
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
config.yaml CHANGED
@@ -2,7 +2,7 @@ project:
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
- output_dir: /tmp/tmp08k8509s/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
 
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
manifest.json CHANGED
@@ -7,12 +7,13 @@
7
  "version": "v1",
8
  "best_score": "0.6",
9
  "best_epoch": "1",
10
- "total_epochs": "1",
11
- "step": "1",
12
- "updated_at": "2026-10-06T12:25:39.977544+00:00",
13
  "files": [
14
  "checkpoint_best.pt",
15
- "checkpoint_latest.pt"
 
16
  ]
17
  }
18
  },
 
7
  "version": "v1",
8
  "best_score": "0.6",
9
  "best_epoch": "1",
10
+ "total_epochs": "2",
11
+ "step": "3",
12
+ "updated_at": "2026-10-06T12:26:52.622109+00:00",
13
  "files": [
14
  "checkpoint_best.pt",
15
+ "checkpoint_latest.pt",
16
+ "checkpoint_periodic.pt"
17
  ]
18
  }
19
  },
reports/test_evaluation_report.json CHANGED
@@ -1,16 +1,16 @@
1
  {
2
  "overall_metrics": {
3
- "test_bce_loss": 0.6941993832588196,
4
- "test_dice_loss": 0.6576691269874573,
5
- "test_focal_loss": 0.09276691824197769,
6
- "test_mask_loss": 0.7223176956176758,
7
- "test_total_loss": 0.7223176956176758,
8
  "test_iou": 0.5,
9
  "test_dice": 0.5,
10
  "test_f1": 0.5,
11
  "test_pixel_f1": 0.5,
12
- "test_auroc": 0.7407521173590794,
13
- "test_pixel_auroc": 0.7407521173590794,
14
  "test_pixel_acc": 0.5,
15
  "test_precision": 0.5,
16
  "test_recall": 0.5,
@@ -22,8 +22,8 @@
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
- "auroc": 0.48150423471815884,
26
- "pixel_auroc": 0.48150423471815884,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
@@ -62,7 +62,7 @@
62
  "name": "test_smoke",
63
  "seed": 42,
64
  "device": "cpu",
65
- "output_dir": "/tmp/tmp08k8509s/out/RUN/test_smoke",
66
  "hub_repo": null,
67
  "resume_repo": null
68
  },
 
1
  {
2
  "overall_metrics": {
3
+ "test_bce_loss": 0.6935216784477234,
4
+ "test_dice_loss": 0.661513090133667,
5
+ "test_focal_loss": 0.08963850140571594,
6
+ "test_mask_loss": 0.7223366498947144,
7
+ "test_total_loss": 0.7223366498947144,
8
  "test_iou": 0.5,
9
  "test_dice": 0.5,
10
  "test_f1": 0.5,
11
  "test_pixel_f1": 0.5,
12
+ "test_auroc": 0.7452691721264273,
13
+ "test_pixel_auroc": 0.7452691721264273,
14
  "test_pixel_acc": 0.5,
15
  "test_precision": 0.5,
16
  "test_recall": 0.5,
 
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
+ "auroc": 0.4905383442528546,
26
+ "pixel_auroc": 0.4905383442528546,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
 
62
  "name": "test_smoke",
63
  "seed": 42,
64
  "device": "cpu",
65
+ "output_dir": "/tmp/tmp64tsilow/out/RUN/test_smoke",
66
  "hub_repo": null,
67
  "resume_repo": null
68
  },
reports/test_evaluation_report.md CHANGED
@@ -25,17 +25,17 @@
25
 
26
  | Metric | Value |
27
  |------------------|---------|
28
- | Test Bce Loss | 0.6942 |
29
- | Test Dice Loss | 0.6577 |
30
- | Test Focal Loss | 0.0928 |
31
  | Test Mask Loss | 0.7223 |
32
  | Test Total Loss | 0.7223 |
33
  | Test Iou | 0.5 |
34
  | Test Dice | 0.5 |
35
  | Test F1 | 0.5 |
36
  | Test Pixel F1 | 0.5 |
37
- | Test Auroc | 0.7408 |
38
- | Test Pixel Auroc | 0.7408 |
39
  | Test Pixel Acc | 0.5 |
40
  | Test Precision | 0.5 |
41
  | Test Recall | 0.5 |
 
25
 
26
  | Metric | Value |
27
  |------------------|---------|
28
+ | Test Bce Loss | 0.6935 |
29
+ | Test Dice Loss | 0.6615 |
30
+ | Test Focal Loss | 0.0896 |
31
  | Test Mask Loss | 0.7223 |
32
  | Test Total Loss | 0.7223 |
33
  | Test Iou | 0.5 |
34
  | Test Dice | 0.5 |
35
  | Test F1 | 0.5 |
36
  | Test Pixel F1 | 0.5 |
37
+ | Test Auroc | 0.7453 |
38
+ | Test Pixel Auroc | 0.7453 |
39
  | Test Pixel Acc | 0.5 |
40
  | Test Precision | 0.5 |
41
  | Test Recall | 0.5 |
reports/training_curves.jpg CHANGED

Git LFS Details

  • SHA256: 71a598c9822d6cd64d2fbcf319549f66c7b0b6a6ec810076fe0563f50e1779ae
  • Pointer size: 131 Bytes
  • Size of remote file: 512 kB

Git LFS Details

  • SHA256: 2a71df5252e70ddbb26674504b3a5257f4f9e95508bb89c3adfdfde469ab2478
  • Pointer size: 131 Bytes
  • Size of remote file: 575 kB
reports/training_curves.pdf CHANGED
Binary files a/reports/training_curves.pdf and b/reports/training_curves.pdf differ
 
reports/training_curves.png CHANGED

Git LFS Details

  • SHA256: fc236cd58e55a20de123a51c994b7cdcfd690e1dedb6c41e9abafee038fd6a70
  • Pointer size: 131 Bytes
  • Size of remote file: 362 kB

Git LFS Details

  • SHA256: 5f8aebaa412300e98fec5daf5e546dd957531f67706a6b7e75cefd064fa57030
  • Pointer size: 131 Bytes
  • Size of remote file: 459 kB
reports/training_final_report.json CHANGED
@@ -1,16 +1,16 @@
1
  {
2
  "overall_metrics": {
3
- "val_bce_loss": 0.6869940757751465,
4
- "val_dice_loss": 0.590221107006073,
5
- "val_focal_loss": 0.08142829686403275,
6
- "val_mask_loss": 0.6793217658996582,
7
- "val_total_loss": 0.6793217658996582,
8
  "val_iou": 0.6,
9
  "val_dice": 0.6,
10
  "val_f1": 0.6,
11
  "val_pixel_f1": 0.6,
12
- "val_auroc": 0.79323464758927,
13
- "val_pixel_auroc": 0.79323464758927,
14
  "val_pixel_acc": 0.6,
15
  "val_precision": 0.6,
16
  "val_recall": 0.6,
@@ -22,8 +22,8 @@
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
- "auroc": 0.48308661897317506,
26
- "pixel_auroc": 0.48308661897317506,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
@@ -57,48 +57,94 @@
57
  "samples": 3
58
  }
59
  },
60
- "curves_plot_path": "/tmp/tmp08k8509s/out/RUN/test_smoke/reports/training_curves.png",
61
  "training_history": [
62
  {
63
  "epoch": 1,
64
  "lr": 0.001,
65
- "train_loss": 0.7411096692085266,
66
- "train_mask_loss": 0.7411096692085266,
67
  "train_aux_loss": 0.0,
68
- "train_iou": 0.17578125,
69
- "val_loss": 0.6793217658996582,
70
- "val_mask_loss": 0.6793217658996582,
71
  "val_aux_loss": 0.0,
72
  "val_iou": 0.6,
73
  "val_dice": 0.6,
74
  "val_f1": 0.6,
75
  "val_pixel_f1": 0.6,
76
- "val_auroc": 0.79323464758927,
77
- "val_pixel_auroc": 0.79323464758927,
78
  "val_pixel_acc": 0.6,
79
  "val_precision": 0.6,
80
  "val_recall": 0.6,
81
  "val_aux_accuracy": 0.0,
82
  "train_metrics": {
83
- "bce_loss": 0.7112534642219543,
84
- "dice_loss": 0.673093318939209,
85
- "focal_loss": 0.09787261486053467,
86
- "mask_loss": 0.7411096692085266,
87
- "total_loss": 0.7411096692085266,
88
- "iou": 0.17578125
89
  },
90
  "val_metrics": {
91
- "val_bce_loss": 0.6869940757751465,
92
- "val_dice_loss": 0.590221107006073,
93
- "val_focal_loss": 0.08142829686403275,
94
- "val_mask_loss": 0.6793217658996582,
95
- "val_total_loss": 0.6793217658996582,
96
  "val_iou": 0.6,
97
  "val_dice": 0.6,
98
  "val_f1": 0.6,
99
  "val_pixel_f1": 0.6,
100
- "val_auroc": 0.79323464758927,
101
- "val_pixel_auroc": 0.79323464758927,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
102
  "val_pixel_acc": 0.6,
103
  "val_precision": 0.6,
104
  "val_recall": 0.6,
@@ -111,7 +157,7 @@
111
  "name": "test_smoke",
112
  "seed": 42,
113
  "device": "cpu",
114
- "output_dir": "/tmp/tmp08k8509s/out/RUN/test_smoke",
115
  "hub_repo": null,
116
  "resume_repo": null
117
  },
 
1
  {
2
  "overall_metrics": {
3
+ "val_bce_loss": 0.6896713376045227,
4
+ "val_dice_loss": 0.5941232442855835,
5
+ "val_focal_loss": 0.0798415094614029,
6
+ "val_mask_loss": 0.6818180680274963,
7
+ "val_total_loss": 0.6818180680274963,
8
  "val_iou": 0.6,
9
  "val_dice": 0.6,
10
  "val_f1": 0.6,
11
  "val_pixel_f1": 0.6,
12
+ "val_auroc": 0.7961838679795619,
13
+ "val_pixel_auroc": 0.7961838679795619,
14
  "val_pixel_acc": 0.6,
15
  "val_precision": 0.6,
16
  "val_recall": 0.6,
 
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
+ "auroc": 0.4904596699489048,
26
+ "pixel_auroc": 0.4904596699489048,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
 
57
  "samples": 3
58
  }
59
  },
60
+ "curves_plot_path": "/tmp/tmp64tsilow/out/RUN/test_smoke/reports/training_curves.png",
61
  "training_history": [
62
  {
63
  "epoch": 1,
64
  "lr": 0.001,
65
+ "train_loss": 0.6793206930160522,
66
+ "train_mask_loss": 0.6793206930160522,
67
  "train_aux_loss": 0.0,
68
+ "train_iou": 0.28662109375,
69
+ "val_loss": 0.6806302070617676,
70
+ "val_mask_loss": 0.6806302070617676,
71
  "val_aux_loss": 0.0,
72
  "val_iou": 0.6,
73
  "val_dice": 0.6,
74
  "val_f1": 0.6,
75
  "val_pixel_f1": 0.6,
76
+ "val_auroc": 0.794720982236322,
77
+ "val_pixel_auroc": 0.794720982236322,
78
  "val_pixel_acc": 0.6,
79
  "val_precision": 0.6,
80
  "val_recall": 0.6,
81
  "val_aux_accuracy": 0.0,
82
  "train_metrics": {
83
+ "bce_loss": 0.6314384937286377,
84
+ "dice_loss": 0.6555118560791016,
85
+ "focal_loss": 0.07169104367494583,
86
+ "mask_loss": 0.6793206930160522,
87
+ "total_loss": 0.6793206930160522,
88
+ "iou": 0.28662109375
89
  },
90
  "val_metrics": {
91
+ "val_bce_loss": 0.6884124279022217,
92
+ "val_dice_loss": 0.5922265648841858,
93
+ "val_focal_loss": 0.08062143623828888,
94
+ "val_mask_loss": 0.6806302070617676,
95
+ "val_total_loss": 0.6806302070617676,
96
  "val_iou": 0.6,
97
  "val_dice": 0.6,
98
  "val_f1": 0.6,
99
  "val_pixel_f1": 0.6,
100
+ "val_auroc": 0.794720982236322,
101
+ "val_pixel_auroc": 0.794720982236322,
102
+ "val_pixel_acc": 0.6,
103
+ "val_precision": 0.6,
104
+ "val_recall": 0.6,
105
+ "val_specificity": 0.6
106
+ }
107
+ },
108
+ {
109
+ "epoch": 2,
110
+ "lr": 0.0005005000000000001,
111
+ "train_loss": 0.6381259560585022,
112
+ "train_mask_loss": 0.6381259560585022,
113
+ "train_aux_loss": 0.0,
114
+ "train_iou": 0.412109375,
115
+ "val_loss": 0.6818180680274963,
116
+ "val_mask_loss": 0.6818180680274963,
117
+ "val_aux_loss": 0.0,
118
+ "val_iou": 0.6,
119
+ "val_dice": 0.6,
120
+ "val_f1": 0.6,
121
+ "val_pixel_f1": 0.6,
122
+ "val_auroc": 0.7961838679795619,
123
+ "val_pixel_auroc": 0.7961838679795619,
124
+ "val_pixel_acc": 0.6,
125
+ "val_precision": 0.6,
126
+ "val_recall": 0.6,
127
+ "val_aux_accuracy": 0.0,
128
+ "train_metrics": {
129
+ "bce_loss": 0.5765066742897034,
130
+ "dice_loss": 0.6437356472015381,
131
+ "focal_loss": 0.05600963532924652,
132
+ "mask_loss": 0.6381259560585022,
133
+ "total_loss": 0.6381259560585022,
134
+ "iou": 0.412109375
135
+ },
136
+ "val_metrics": {
137
+ "val_bce_loss": 0.6896713376045227,
138
+ "val_dice_loss": 0.5941232442855835,
139
+ "val_focal_loss": 0.0798415094614029,
140
+ "val_mask_loss": 0.6818180680274963,
141
+ "val_total_loss": 0.6818180680274963,
142
+ "val_iou": 0.6,
143
+ "val_dice": 0.6,
144
+ "val_f1": 0.6,
145
+ "val_pixel_f1": 0.6,
146
+ "val_auroc": 0.7961838679795619,
147
+ "val_pixel_auroc": 0.7961838679795619,
148
  "val_pixel_acc": 0.6,
149
  "val_precision": 0.6,
150
  "val_recall": 0.6,
 
157
  "name": "test_smoke",
158
  "seed": 42,
159
  "device": "cpu",
160
+ "output_dir": "/tmp/tmp64tsilow/out/RUN/test_smoke",
161
  "hub_repo": null,
162
  "resume_repo": null
163
  },
reports/training_final_report.md CHANGED
@@ -25,17 +25,17 @@
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
- | Val Bce Loss | 0.687 |
29
- | Val Dice Loss | 0.5902 |
30
- | Val Focal Loss | 0.0814 |
31
- | Val Mask Loss | 0.6793 |
32
- | Val Total Loss | 0.6793 |
33
  | Val Iou | 0.6 |
34
  | Val Dice | 0.6 |
35
  | Val F1 | 0.6 |
36
  | Val Pixel F1 | 0.6 |
37
- | Val Auroc | 0.7932 |
38
- | Val Pixel Auroc | 0.7932 |
39
  | Val Pixel Acc | 0.6 |
40
  | Val Precision | 0.6 |
41
  | Val Recall | 0.6 |
@@ -49,7 +49,8 @@
49
 
50
  | Epoch | Train Loss | Val Loss | Val IoU | Val F1 | Val AUROC | Val Pixel Acc | Learning Rate |
51
  |---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
52
- | 1 | 0.7411 | 0.6793 | 0.6 | 0.6 | 0.7932 | 0.6 | 0.001 |
 
53
 
54
  ### Per-Subset Metrics Breakdown
55
 
 
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
+ | Val Bce Loss | 0.6897 |
29
+ | Val Dice Loss | 0.5941 |
30
+ | Val Focal Loss | 0.0798 |
31
+ | Val Mask Loss | 0.6818 |
32
+ | Val Total Loss | 0.6818 |
33
  | Val Iou | 0.6 |
34
  | Val Dice | 0.6 |
35
  | Val F1 | 0.6 |
36
  | Val Pixel F1 | 0.6 |
37
+ | Val Auroc | 0.7962 |
38
+ | Val Pixel Auroc | 0.7962 |
39
  | Val Pixel Acc | 0.6 |
40
  | Val Precision | 0.6 |
41
  | Val Recall | 0.6 |
 
49
 
50
  | Epoch | Train Loss | Val Loss | Val IoU | Val F1 | Val AUROC | Val Pixel Acc | Learning Rate |
51
  |---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
52
+ | 1 | 0.6793 | 0.6806 | 0.6 | 0.6 | 0.7947 | 0.6 | 0.001 |
53
+ | 2 | 0.6381 | 0.6818 | 0.6 | 0.6 | 0.7962 | 0.6 | 0.000501 |
54
 
55
  ### Per-Subset Metrics Breakdown
56
 
reports/training_history.csv CHANGED
@@ -1,2 +1,3 @@
1
  epoch,lr,train_aux_loss,train_iou,train_loss,train_mask_loss,train_metrics_bce_loss,train_metrics_dice_loss,train_metrics_focal_loss,train_metrics_iou,train_metrics_mask_loss,train_metrics_total_loss,val_auroc,val_aux_accuracy,val_aux_loss,val_dice,val_f1,val_iou,val_loss,val_mask_loss,val_metrics_val_auroc,val_metrics_val_bce_loss,val_metrics_val_dice,val_metrics_val_dice_loss,val_metrics_val_f1,val_metrics_val_focal_loss,val_metrics_val_iou,val_metrics_val_mask_loss,val_metrics_val_pixel_acc,val_metrics_val_pixel_auroc,val_metrics_val_pixel_f1,val_metrics_val_precision,val_metrics_val_recall,val_metrics_val_specificity,val_metrics_val_total_loss,val_pixel_acc,val_pixel_auroc,val_pixel_f1,val_precision,val_recall
2
- 1,0.001,0.0,0.17578125,0.7411096692085266,0.7411096692085266,0.7112534642219543,0.673093318939209,0.09787261486053467,0.17578125,0.7411096692085266,0.7411096692085266,0.79323464758927,0.0,0.0,0.6,0.6,0.6,0.6793217658996582,0.6793217658996582,0.79323464758927,0.6869940757751465,0.6,0.590221107006073,0.6,0.08142829686403275,0.6,0.6793217658996582,0.6,0.79323464758927,0.6,0.6,0.6,0.6,0.6793217658996582,0.6,0.79323464758927,0.6,0.6,0.6
 
 
1
  epoch,lr,train_aux_loss,train_iou,train_loss,train_mask_loss,train_metrics_bce_loss,train_metrics_dice_loss,train_metrics_focal_loss,train_metrics_iou,train_metrics_mask_loss,train_metrics_total_loss,val_auroc,val_aux_accuracy,val_aux_loss,val_dice,val_f1,val_iou,val_loss,val_mask_loss,val_metrics_val_auroc,val_metrics_val_bce_loss,val_metrics_val_dice,val_metrics_val_dice_loss,val_metrics_val_f1,val_metrics_val_focal_loss,val_metrics_val_iou,val_metrics_val_mask_loss,val_metrics_val_pixel_acc,val_metrics_val_pixel_auroc,val_metrics_val_pixel_f1,val_metrics_val_precision,val_metrics_val_recall,val_metrics_val_specificity,val_metrics_val_total_loss,val_pixel_acc,val_pixel_auroc,val_pixel_f1,val_precision,val_recall
2
+ 1,0.001,0.0,0.28662109375,0.6793206930160522,0.6793206930160522,0.6314384937286377,0.6555118560791016,0.07169104367494583,0.28662109375,0.6793206930160522,0.6793206930160522,0.794720982236322,0.0,0.0,0.6,0.6,0.6,0.6806302070617676,0.6806302070617676,0.794720982236322,0.6884124279022217,0.6,0.5922265648841858,0.6,0.08062143623828888,0.6,0.6806302070617676,0.6,0.794720982236322,0.6,0.6,0.6,0.6,0.6806302070617676,0.6,0.794720982236322,0.6,0.6,0.6
3
+ 2,0.0005005000000000001,0.0,0.412109375,0.6381259560585022,0.6381259560585022,0.5765066742897034,0.6437356472015381,0.05600963532924652,0.412109375,0.6381259560585022,0.6381259560585022,0.7961838679795619,0.0,0.0,0.6,0.6,0.6,0.6818180680274963,0.6818180680274963,0.7961838679795619,0.6896713376045227,0.6,0.5941232442855835,0.6,0.0798415094614029,0.6,0.6818180680274963,0.6,0.7961838679795619,0.6,0.6,0.6,0.6,0.6818180680274963,0.6,0.7961838679795619,0.6,0.6,0.6
reports/training_history.json CHANGED
@@ -2,43 +2,89 @@
2
  {
3
  "epoch": 1,
4
  "lr": 0.001,
5
- "train_loss": 0.7411096692085266,
6
- "train_mask_loss": 0.7411096692085266,
7
  "train_aux_loss": 0.0,
8
- "train_iou": 0.17578125,
9
- "val_loss": 0.6793217658996582,
10
- "val_mask_loss": 0.6793217658996582,
11
  "val_aux_loss": 0.0,
12
  "val_iou": 0.6,
13
  "val_dice": 0.6,
14
  "val_f1": 0.6,
15
  "val_pixel_f1": 0.6,
16
- "val_auroc": 0.79323464758927,
17
- "val_pixel_auroc": 0.79323464758927,
18
  "val_pixel_acc": 0.6,
19
  "val_precision": 0.6,
20
  "val_recall": 0.6,
21
  "val_aux_accuracy": 0.0,
22
  "train_metrics": {
23
- "bce_loss": 0.7112534642219543,
24
- "dice_loss": 0.673093318939209,
25
- "focal_loss": 0.09787261486053467,
26
- "mask_loss": 0.7411096692085266,
27
- "total_loss": 0.7411096692085266,
28
- "iou": 0.17578125
29
  },
30
  "val_metrics": {
31
- "val_bce_loss": 0.6869940757751465,
32
- "val_dice_loss": 0.590221107006073,
33
- "val_focal_loss": 0.08142829686403275,
34
- "val_mask_loss": 0.6793217658996582,
35
- "val_total_loss": 0.6793217658996582,
36
  "val_iou": 0.6,
37
  "val_dice": 0.6,
38
  "val_f1": 0.6,
39
  "val_pixel_f1": 0.6,
40
- "val_auroc": 0.79323464758927,
41
- "val_pixel_auroc": 0.79323464758927,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  "val_pixel_acc": 0.6,
43
  "val_precision": 0.6,
44
  "val_recall": 0.6,
 
2
  {
3
  "epoch": 1,
4
  "lr": 0.001,
5
+ "train_loss": 0.6793206930160522,
6
+ "train_mask_loss": 0.6793206930160522,
7
  "train_aux_loss": 0.0,
8
+ "train_iou": 0.28662109375,
9
+ "val_loss": 0.6806302070617676,
10
+ "val_mask_loss": 0.6806302070617676,
11
  "val_aux_loss": 0.0,
12
  "val_iou": 0.6,
13
  "val_dice": 0.6,
14
  "val_f1": 0.6,
15
  "val_pixel_f1": 0.6,
16
+ "val_auroc": 0.794720982236322,
17
+ "val_pixel_auroc": 0.794720982236322,
18
  "val_pixel_acc": 0.6,
19
  "val_precision": 0.6,
20
  "val_recall": 0.6,
21
  "val_aux_accuracy": 0.0,
22
  "train_metrics": {
23
+ "bce_loss": 0.6314384937286377,
24
+ "dice_loss": 0.6555118560791016,
25
+ "focal_loss": 0.07169104367494583,
26
+ "mask_loss": 0.6793206930160522,
27
+ "total_loss": 0.6793206930160522,
28
+ "iou": 0.28662109375
29
  },
30
  "val_metrics": {
31
+ "val_bce_loss": 0.6884124279022217,
32
+ "val_dice_loss": 0.5922265648841858,
33
+ "val_focal_loss": 0.08062143623828888,
34
+ "val_mask_loss": 0.6806302070617676,
35
+ "val_total_loss": 0.6806302070617676,
36
  "val_iou": 0.6,
37
  "val_dice": 0.6,
38
  "val_f1": 0.6,
39
  "val_pixel_f1": 0.6,
40
+ "val_auroc": 0.794720982236322,
41
+ "val_pixel_auroc": 0.794720982236322,
42
+ "val_pixel_acc": 0.6,
43
+ "val_precision": 0.6,
44
+ "val_recall": 0.6,
45
+ "val_specificity": 0.6
46
+ }
47
+ },
48
+ {
49
+ "epoch": 2,
50
+ "lr": 0.0005005000000000001,
51
+ "train_loss": 0.6381259560585022,
52
+ "train_mask_loss": 0.6381259560585022,
53
+ "train_aux_loss": 0.0,
54
+ "train_iou": 0.412109375,
55
+ "val_loss": 0.6818180680274963,
56
+ "val_mask_loss": 0.6818180680274963,
57
+ "val_aux_loss": 0.0,
58
+ "val_iou": 0.6,
59
+ "val_dice": 0.6,
60
+ "val_f1": 0.6,
61
+ "val_pixel_f1": 0.6,
62
+ "val_auroc": 0.7961838679795619,
63
+ "val_pixel_auroc": 0.7961838679795619,
64
+ "val_pixel_acc": 0.6,
65
+ "val_precision": 0.6,
66
+ "val_recall": 0.6,
67
+ "val_aux_accuracy": 0.0,
68
+ "train_metrics": {
69
+ "bce_loss": 0.5765066742897034,
70
+ "dice_loss": 0.6437356472015381,
71
+ "focal_loss": 0.05600963532924652,
72
+ "mask_loss": 0.6381259560585022,
73
+ "total_loss": 0.6381259560585022,
74
+ "iou": 0.412109375
75
+ },
76
+ "val_metrics": {
77
+ "val_bce_loss": 0.6896713376045227,
78
+ "val_dice_loss": 0.5941232442855835,
79
+ "val_focal_loss": 0.0798415094614029,
80
+ "val_mask_loss": 0.6818180680274963,
81
+ "val_total_loss": 0.6818180680274963,
82
+ "val_iou": 0.6,
83
+ "val_dice": 0.6,
84
+ "val_f1": 0.6,
85
+ "val_pixel_f1": 0.6,
86
+ "val_auroc": 0.7961838679795619,
87
+ "val_pixel_auroc": 0.7961838679795619,
88
  "val_pixel_acc": 0.6,
89
  "val_precision": 0.6,
90
  "val_recall": 0.6,
versions/v1/checkpoint_best_config.yaml CHANGED
@@ -2,7 +2,7 @@ project:
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
- output_dir: /tmp/tmp08k8509s/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
 
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
versions/v1/checkpoint_latest_config.yaml CHANGED
@@ -2,7 +2,7 @@ project:
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
- output_dir: /tmp/tmp08k8509s/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
 
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
versions/v1/checkpoint_periodic_config.yaml ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ project:
2
+ name: test_smoke
3
+ seed: 42
4
+ device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
+ hub_repo: null
7
+ resume_repo: null
8
+ data:
9
+ dataset_name: KhangTruong/IMD2020
10
+ streaming: false
11
+ image_size:
12
+ - 32
13
+ - 32
14
+ batch_size: 16
15
+ num_workers: 0
16
+ pin_memory: false
17
+ shuffle_buffer_size: 1000
18
+ train_split: train
19
+ val_split: validation
20
+ test_split: test
21
+ eval_split: test
22
+ train_samples_per_epoch: 2
23
+ val_samples_per_epoch: -1
24
+ val_samples: 2
25
+ test_samples: 2
26
+ evaluate_on_test: true
27
+ augmentations:
28
+ horizontal_flip: 0.5
29
+ vertical_flip: 0.0
30
+ random_rotate90: 0.0
31
+ color_jitter: 0.0
32
+ base_batch_size: 16
33
+ num_gpus: 1
34
+ _batch_size_scaled: true
35
+ model:
36
+ name: unet
37
+ in_channels: 3
38
+ out_channels: 1
39
+ features:
40
+ - 8
41
+ - 16
42
+ bilinear: true
43
+ dropout: 0.0
44
+ aux_classifier: false
45
+ num_classes: 3
46
+ gradient_checkpointing: false
47
+ loss:
48
+ mask_loss_type: combined
49
+ bce_weight: 0.5
50
+ dice_weight: 0.5
51
+ focal_weight: 0.5
52
+ focal_gamma: 2.0
53
+ focal_alpha: 0.25
54
+ aux_loss_type: cross_entropy
55
+ aux_weight: 0.2
56
+ training:
57
+ epochs: 1
58
+ learning_rate: 0.001
59
+ weight_decay: 0.0001
60
+ optimizer: adamw
61
+ use_8bit_optimizer: false
62
+ check_8bit_compatibility: true
63
+ fallback_to_16bit: true
64
+ fallback_on_unsupported_8bit: true
65
+ scheduler: cosine
66
+ resume_lr_mode: auto
67
+ resume_lr: null
68
+ warmup_epochs: 1
69
+ min_lr: 1.0e-06
70
+ grad_clip_norm: 1.0
71
+ amp: false
72
+ gradient_accumulation_steps: 1
73
+ data_parallel: false
74
+ use_hard_mining: false
75
+ auto_batch_size: true
76
+ empty_cache_per_epoch: true
77
+ save_best: true
78
+ save_latest: true
79
+ checkpoint_period: 3600
80
+ eval_interval: 1
81
+ early_stopping_patience: 2
82
+ early_stopping_metric: val_iou
83
+ early_stopping_mode: max
84
+ push_to_hub: true
85
+ hub_repo: KhangTruong/Testing-model
86
+ hub_version: v1
87
+ batch_size: 2
88
+ hf_repo: KhangTruong/Testing-model
89
+ num_gpus: 1
90
+ hard_mining:
91
+ enabled: false
92
+ metric: median
93
+ reset_epochs: 5
94
+ bootstrapping:
95
+ enabled: false
96
+ run_bootstrap: false
97
+ epochs: 5
98
+ num_samples: 512
99
+ batch_size: null
100
+ learning_rate: null
101
+ freeze_strategy: channel_stream
102
+ stream_ratio: 0.5
103
+ release_mode: restore
104
+ freeze_modules: []
105
+ initialization: kaiming_normal
106
+ target_score: 0.5
107
+ min_loss_drop: 0.15
108
+ early_stopping: false
109
+ patience: 3
110
+ logging:
111
+ log_interval: 1
112
+ log_memory: true
113
+ measure_network: true
114
+ post_processing:
115
+ enabled: true
116
+ min_area: 64
117
+ fill_holes: true
118
+ max_hole_size: 256
119
+ morphology: open_close
120
+ morph_kernel_size: 3
versions/v1/checkpoints/checkpoint_best.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a9172bf7d3e6103e1b5a3f72fafb499bd31cef50412504f57501c9bb3bae43a4
3
- size 217443
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b16091a0d393b82e510e0abd22b214f8ca99aacfc1bc6b0fcadee4c5ff5afdc
3
+ size 218403
versions/v1/checkpoints/checkpoint_latest.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a40f37c060ab46b418b0e7ae2ec1c17db6b65f29ff9b38bfcb64630e174cdbd3
3
- size 217771
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc30f763f355257a1f4c6b34e60e26cf1a0ace79b872c3b940fa93d27f75692e
3
+ size 218731
versions/v1/checkpoints/checkpoint_periodic.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fa61ad98ebc219d8f23424da395d783221cf197d6ba91fd92dc7420cdfbd790
3
+ size 218099
versions/v1/effective_config.yaml CHANGED
@@ -2,7 +2,7 @@ project:
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
- output_dir: /tmp/tmp08k8509s/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
 
2
  name: test_smoke
3
  seed: 42
4
  device: cpu
5
+ output_dir: /tmp/tmp64tsilow/out/RUN/test_smoke
6
  hub_repo: null
7
  resume_repo: null
8
  data:
versions/v1/manifest.json CHANGED
@@ -7,12 +7,13 @@
7
  "version": "v1",
8
  "best_score": "0.6",
9
  "best_epoch": "1",
10
- "total_epochs": "1",
11
- "step": "1",
12
- "updated_at": "2026-10-06T12:25:39.977544+00:00",
13
  "files": [
14
  "checkpoint_best.pt",
15
- "checkpoint_latest.pt"
 
16
  ]
17
  }
18
  },
 
7
  "version": "v1",
8
  "best_score": "0.6",
9
  "best_epoch": "1",
10
+ "total_epochs": "2",
11
+ "step": "3",
12
+ "updated_at": "2026-10-06T12:26:52.622109+00:00",
13
  "files": [
14
  "checkpoint_best.pt",
15
+ "checkpoint_latest.pt",
16
+ "checkpoint_periodic.pt"
17
  ]
18
  }
19
  },
versions/v1/reports/test_evaluation_report.json CHANGED
@@ -1,16 +1,16 @@
1
  {
2
  "overall_metrics": {
3
- "test_bce_loss": 0.6941993832588196,
4
- "test_dice_loss": 0.6576691269874573,
5
- "test_focal_loss": 0.09276691824197769,
6
- "test_mask_loss": 0.7223176956176758,
7
- "test_total_loss": 0.7223176956176758,
8
  "test_iou": 0.5,
9
  "test_dice": 0.5,
10
  "test_f1": 0.5,
11
  "test_pixel_f1": 0.5,
12
- "test_auroc": 0.7407521173590794,
13
- "test_pixel_auroc": 0.7407521173590794,
14
  "test_pixel_acc": 0.5,
15
  "test_precision": 0.5,
16
  "test_recall": 0.5,
@@ -22,8 +22,8 @@
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
- "auroc": 0.48150423471815884,
26
- "pixel_auroc": 0.48150423471815884,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
@@ -62,7 +62,7 @@
62
  "name": "test_smoke",
63
  "seed": 42,
64
  "device": "cpu",
65
- "output_dir": "/tmp/tmp08k8509s/out/RUN/test_smoke",
66
  "hub_repo": null,
67
  "resume_repo": null
68
  },
 
1
  {
2
  "overall_metrics": {
3
+ "test_bce_loss": 0.6935216784477234,
4
+ "test_dice_loss": 0.661513090133667,
5
+ "test_focal_loss": 0.08963850140571594,
6
+ "test_mask_loss": 0.7223366498947144,
7
+ "test_total_loss": 0.7223366498947144,
8
  "test_iou": 0.5,
9
  "test_dice": 0.5,
10
  "test_f1": 0.5,
11
  "test_pixel_f1": 0.5,
12
+ "test_auroc": 0.7452691721264273,
13
+ "test_pixel_auroc": 0.7452691721264273,
14
  "test_pixel_acc": 0.5,
15
  "test_precision": 0.5,
16
  "test_recall": 0.5,
 
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
+ "auroc": 0.4905383442528546,
26
+ "pixel_auroc": 0.4905383442528546,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
 
62
  "name": "test_smoke",
63
  "seed": 42,
64
  "device": "cpu",
65
+ "output_dir": "/tmp/tmp64tsilow/out/RUN/test_smoke",
66
  "hub_repo": null,
67
  "resume_repo": null
68
  },
versions/v1/reports/test_evaluation_report.md CHANGED
@@ -25,17 +25,17 @@
25
 
26
  | Metric | Value |
27
  |------------------|---------|
28
- | Test Bce Loss | 0.6942 |
29
- | Test Dice Loss | 0.6577 |
30
- | Test Focal Loss | 0.0928 |
31
  | Test Mask Loss | 0.7223 |
32
  | Test Total Loss | 0.7223 |
33
  | Test Iou | 0.5 |
34
  | Test Dice | 0.5 |
35
  | Test F1 | 0.5 |
36
  | Test Pixel F1 | 0.5 |
37
- | Test Auroc | 0.7408 |
38
- | Test Pixel Auroc | 0.7408 |
39
  | Test Pixel Acc | 0.5 |
40
  | Test Precision | 0.5 |
41
  | Test Recall | 0.5 |
 
25
 
26
  | Metric | Value |
27
  |------------------|---------|
28
+ | Test Bce Loss | 0.6935 |
29
+ | Test Dice Loss | 0.6615 |
30
+ | Test Focal Loss | 0.0896 |
31
  | Test Mask Loss | 0.7223 |
32
  | Test Total Loss | 0.7223 |
33
  | Test Iou | 0.5 |
34
  | Test Dice | 0.5 |
35
  | Test F1 | 0.5 |
36
  | Test Pixel F1 | 0.5 |
37
+ | Test Auroc | 0.7453 |
38
+ | Test Pixel Auroc | 0.7453 |
39
  | Test Pixel Acc | 0.5 |
40
  | Test Precision | 0.5 |
41
  | Test Recall | 0.5 |
versions/v1/reports/training_curves.jpg CHANGED

Git LFS Details

  • SHA256: 71a598c9822d6cd64d2fbcf319549f66c7b0b6a6ec810076fe0563f50e1779ae
  • Pointer size: 131 Bytes
  • Size of remote file: 512 kB

Git LFS Details

  • SHA256: 2a71df5252e70ddbb26674504b3a5257f4f9e95508bb89c3adfdfde469ab2478
  • Pointer size: 131 Bytes
  • Size of remote file: 575 kB
versions/v1/reports/training_curves.pdf CHANGED
Binary files a/versions/v1/reports/training_curves.pdf and b/versions/v1/reports/training_curves.pdf differ
 
versions/v1/reports/training_curves.png CHANGED

Git LFS Details

  • SHA256: fc236cd58e55a20de123a51c994b7cdcfd690e1dedb6c41e9abafee038fd6a70
  • Pointer size: 131 Bytes
  • Size of remote file: 362 kB

Git LFS Details

  • SHA256: 5f8aebaa412300e98fec5daf5e546dd957531f67706a6b7e75cefd064fa57030
  • Pointer size: 131 Bytes
  • Size of remote file: 459 kB
versions/v1/reports/training_final_report.json CHANGED
@@ -1,16 +1,16 @@
1
  {
2
  "overall_metrics": {
3
- "val_bce_loss": 0.6869940757751465,
4
- "val_dice_loss": 0.590221107006073,
5
- "val_focal_loss": 0.08142829686403275,
6
- "val_mask_loss": 0.6793217658996582,
7
- "val_total_loss": 0.6793217658996582,
8
  "val_iou": 0.6,
9
  "val_dice": 0.6,
10
  "val_f1": 0.6,
11
  "val_pixel_f1": 0.6,
12
- "val_auroc": 0.79323464758927,
13
- "val_pixel_auroc": 0.79323464758927,
14
  "val_pixel_acc": 0.6,
15
  "val_precision": 0.6,
16
  "val_recall": 0.6,
@@ -22,8 +22,8 @@
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
- "auroc": 0.48308661897317506,
26
- "pixel_auroc": 0.48308661897317506,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
@@ -57,48 +57,94 @@
57
  "samples": 3
58
  }
59
  },
60
- "curves_plot_path": "/tmp/tmp08k8509s/out/RUN/test_smoke/reports/training_curves.png",
61
  "training_history": [
62
  {
63
  "epoch": 1,
64
  "lr": 0.001,
65
- "train_loss": 0.7411096692085266,
66
- "train_mask_loss": 0.7411096692085266,
67
  "train_aux_loss": 0.0,
68
- "train_iou": 0.17578125,
69
- "val_loss": 0.6793217658996582,
70
- "val_mask_loss": 0.6793217658996582,
71
  "val_aux_loss": 0.0,
72
  "val_iou": 0.6,
73
  "val_dice": 0.6,
74
  "val_f1": 0.6,
75
  "val_pixel_f1": 0.6,
76
- "val_auroc": 0.79323464758927,
77
- "val_pixel_auroc": 0.79323464758927,
78
  "val_pixel_acc": 0.6,
79
  "val_precision": 0.6,
80
  "val_recall": 0.6,
81
  "val_aux_accuracy": 0.0,
82
  "train_metrics": {
83
- "bce_loss": 0.7112534642219543,
84
- "dice_loss": 0.673093318939209,
85
- "focal_loss": 0.09787261486053467,
86
- "mask_loss": 0.7411096692085266,
87
- "total_loss": 0.7411096692085266,
88
- "iou": 0.17578125
89
  },
90
  "val_metrics": {
91
- "val_bce_loss": 0.6869940757751465,
92
- "val_dice_loss": 0.590221107006073,
93
- "val_focal_loss": 0.08142829686403275,
94
- "val_mask_loss": 0.6793217658996582,
95
- "val_total_loss": 0.6793217658996582,
96
  "val_iou": 0.6,
97
  "val_dice": 0.6,
98
  "val_f1": 0.6,
99
  "val_pixel_f1": 0.6,
100
- "val_auroc": 0.79323464758927,
101
- "val_pixel_auroc": 0.79323464758927,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
102
  "val_pixel_acc": 0.6,
103
  "val_precision": 0.6,
104
  "val_recall": 0.6,
@@ -111,7 +157,7 @@
111
  "name": "test_smoke",
112
  "seed": 42,
113
  "device": "cpu",
114
- "output_dir": "/tmp/tmp08k8509s/out/RUN/test_smoke",
115
  "hub_repo": null,
116
  "resume_repo": null
117
  },
 
1
  {
2
  "overall_metrics": {
3
+ "val_bce_loss": 0.6896713376045227,
4
+ "val_dice_loss": 0.5941232442855835,
5
+ "val_focal_loss": 0.0798415094614029,
6
+ "val_mask_loss": 0.6818180680274963,
7
+ "val_total_loss": 0.6818180680274963,
8
  "val_iou": 0.6,
9
  "val_dice": 0.6,
10
  "val_f1": 0.6,
11
  "val_pixel_f1": 0.6,
12
+ "val_auroc": 0.7961838679795619,
13
+ "val_pixel_auroc": 0.7961838679795619,
14
  "val_pixel_acc": 0.6,
15
  "val_precision": 0.6,
16
  "val_recall": 0.6,
 
22
  "dice": 0.0,
23
  "f1": 0.0,
24
  "pixel_f1": 0.0,
25
+ "auroc": 0.4904596699489048,
26
+ "pixel_auroc": 0.4904596699489048,
27
  "pixel_acc": 0.0,
28
  "precision": 0.0,
29
  "recall": 0.0,
 
57
  "samples": 3
58
  }
59
  },
60
+ "curves_plot_path": "/tmp/tmp64tsilow/out/RUN/test_smoke/reports/training_curves.png",
61
  "training_history": [
62
  {
63
  "epoch": 1,
64
  "lr": 0.001,
65
+ "train_loss": 0.6793206930160522,
66
+ "train_mask_loss": 0.6793206930160522,
67
  "train_aux_loss": 0.0,
68
+ "train_iou": 0.28662109375,
69
+ "val_loss": 0.6806302070617676,
70
+ "val_mask_loss": 0.6806302070617676,
71
  "val_aux_loss": 0.0,
72
  "val_iou": 0.6,
73
  "val_dice": 0.6,
74
  "val_f1": 0.6,
75
  "val_pixel_f1": 0.6,
76
+ "val_auroc": 0.794720982236322,
77
+ "val_pixel_auroc": 0.794720982236322,
78
  "val_pixel_acc": 0.6,
79
  "val_precision": 0.6,
80
  "val_recall": 0.6,
81
  "val_aux_accuracy": 0.0,
82
  "train_metrics": {
83
+ "bce_loss": 0.6314384937286377,
84
+ "dice_loss": 0.6555118560791016,
85
+ "focal_loss": 0.07169104367494583,
86
+ "mask_loss": 0.6793206930160522,
87
+ "total_loss": 0.6793206930160522,
88
+ "iou": 0.28662109375
89
  },
90
  "val_metrics": {
91
+ "val_bce_loss": 0.6884124279022217,
92
+ "val_dice_loss": 0.5922265648841858,
93
+ "val_focal_loss": 0.08062143623828888,
94
+ "val_mask_loss": 0.6806302070617676,
95
+ "val_total_loss": 0.6806302070617676,
96
  "val_iou": 0.6,
97
  "val_dice": 0.6,
98
  "val_f1": 0.6,
99
  "val_pixel_f1": 0.6,
100
+ "val_auroc": 0.794720982236322,
101
+ "val_pixel_auroc": 0.794720982236322,
102
+ "val_pixel_acc": 0.6,
103
+ "val_precision": 0.6,
104
+ "val_recall": 0.6,
105
+ "val_specificity": 0.6
106
+ }
107
+ },
108
+ {
109
+ "epoch": 2,
110
+ "lr": 0.0005005000000000001,
111
+ "train_loss": 0.6381259560585022,
112
+ "train_mask_loss": 0.6381259560585022,
113
+ "train_aux_loss": 0.0,
114
+ "train_iou": 0.412109375,
115
+ "val_loss": 0.6818180680274963,
116
+ "val_mask_loss": 0.6818180680274963,
117
+ "val_aux_loss": 0.0,
118
+ "val_iou": 0.6,
119
+ "val_dice": 0.6,
120
+ "val_f1": 0.6,
121
+ "val_pixel_f1": 0.6,
122
+ "val_auroc": 0.7961838679795619,
123
+ "val_pixel_auroc": 0.7961838679795619,
124
+ "val_pixel_acc": 0.6,
125
+ "val_precision": 0.6,
126
+ "val_recall": 0.6,
127
+ "val_aux_accuracy": 0.0,
128
+ "train_metrics": {
129
+ "bce_loss": 0.5765066742897034,
130
+ "dice_loss": 0.6437356472015381,
131
+ "focal_loss": 0.05600963532924652,
132
+ "mask_loss": 0.6381259560585022,
133
+ "total_loss": 0.6381259560585022,
134
+ "iou": 0.412109375
135
+ },
136
+ "val_metrics": {
137
+ "val_bce_loss": 0.6896713376045227,
138
+ "val_dice_loss": 0.5941232442855835,
139
+ "val_focal_loss": 0.0798415094614029,
140
+ "val_mask_loss": 0.6818180680274963,
141
+ "val_total_loss": 0.6818180680274963,
142
+ "val_iou": 0.6,
143
+ "val_dice": 0.6,
144
+ "val_f1": 0.6,
145
+ "val_pixel_f1": 0.6,
146
+ "val_auroc": 0.7961838679795619,
147
+ "val_pixel_auroc": 0.7961838679795619,
148
  "val_pixel_acc": 0.6,
149
  "val_precision": 0.6,
150
  "val_recall": 0.6,
 
157
  "name": "test_smoke",
158
  "seed": 42,
159
  "device": "cpu",
160
+ "output_dir": "/tmp/tmp64tsilow/out/RUN/test_smoke",
161
  "hub_repo": null,
162
  "resume_repo": null
163
  },
versions/v1/reports/training_final_report.md CHANGED
@@ -25,17 +25,17 @@
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
- | Val Bce Loss | 0.687 |
29
- | Val Dice Loss | 0.5902 |
30
- | Val Focal Loss | 0.0814 |
31
- | Val Mask Loss | 0.6793 |
32
- | Val Total Loss | 0.6793 |
33
  | Val Iou | 0.6 |
34
  | Val Dice | 0.6 |
35
  | Val F1 | 0.6 |
36
  | Val Pixel F1 | 0.6 |
37
- | Val Auroc | 0.7932 |
38
- | Val Pixel Auroc | 0.7932 |
39
  | Val Pixel Acc | 0.6 |
40
  | Val Precision | 0.6 |
41
  | Val Recall | 0.6 |
@@ -49,7 +49,8 @@
49
 
50
  | Epoch | Train Loss | Val Loss | Val IoU | Val F1 | Val AUROC | Val Pixel Acc | Learning Rate |
51
  |---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
52
- | 1 | 0.7411 | 0.6793 | 0.6 | 0.6 | 0.7932 | 0.6 | 0.001 |
 
53
 
54
  ### Per-Subset Metrics Breakdown
55
 
 
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
+ | Val Bce Loss | 0.6897 |
29
+ | Val Dice Loss | 0.5941 |
30
+ | Val Focal Loss | 0.0798 |
31
+ | Val Mask Loss | 0.6818 |
32
+ | Val Total Loss | 0.6818 |
33
  | Val Iou | 0.6 |
34
  | Val Dice | 0.6 |
35
  | Val F1 | 0.6 |
36
  | Val Pixel F1 | 0.6 |
37
+ | Val Auroc | 0.7962 |
38
+ | Val Pixel Auroc | 0.7962 |
39
  | Val Pixel Acc | 0.6 |
40
  | Val Precision | 0.6 |
41
  | Val Recall | 0.6 |
 
49
 
50
  | Epoch | Train Loss | Val Loss | Val IoU | Val F1 | Val AUROC | Val Pixel Acc | Learning Rate |
51
  |---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
52
+ | 1 | 0.6793 | 0.6806 | 0.6 | 0.6 | 0.7947 | 0.6 | 0.001 |
53
+ | 2 | 0.6381 | 0.6818 | 0.6 | 0.6 | 0.7962 | 0.6 | 0.000501 |
54
 
55
  ### Per-Subset Metrics Breakdown
56
 
versions/v1/reports/training_history.csv CHANGED
@@ -1,2 +1,3 @@
1
  epoch,lr,train_aux_loss,train_iou,train_loss,train_mask_loss,train_metrics_bce_loss,train_metrics_dice_loss,train_metrics_focal_loss,train_metrics_iou,train_metrics_mask_loss,train_metrics_total_loss,val_auroc,val_aux_accuracy,val_aux_loss,val_dice,val_f1,val_iou,val_loss,val_mask_loss,val_metrics_val_auroc,val_metrics_val_bce_loss,val_metrics_val_dice,val_metrics_val_dice_loss,val_metrics_val_f1,val_metrics_val_focal_loss,val_metrics_val_iou,val_metrics_val_mask_loss,val_metrics_val_pixel_acc,val_metrics_val_pixel_auroc,val_metrics_val_pixel_f1,val_metrics_val_precision,val_metrics_val_recall,val_metrics_val_specificity,val_metrics_val_total_loss,val_pixel_acc,val_pixel_auroc,val_pixel_f1,val_precision,val_recall
2
- 1,0.001,0.0,0.17578125,0.7411096692085266,0.7411096692085266,0.7112534642219543,0.673093318939209,0.09787261486053467,0.17578125,0.7411096692085266,0.7411096692085266,0.79323464758927,0.0,0.0,0.6,0.6,0.6,0.6793217658996582,0.6793217658996582,0.79323464758927,0.6869940757751465,0.6,0.590221107006073,0.6,0.08142829686403275,0.6,0.6793217658996582,0.6,0.79323464758927,0.6,0.6,0.6,0.6,0.6793217658996582,0.6,0.79323464758927,0.6,0.6,0.6
 
 
1
  epoch,lr,train_aux_loss,train_iou,train_loss,train_mask_loss,train_metrics_bce_loss,train_metrics_dice_loss,train_metrics_focal_loss,train_metrics_iou,train_metrics_mask_loss,train_metrics_total_loss,val_auroc,val_aux_accuracy,val_aux_loss,val_dice,val_f1,val_iou,val_loss,val_mask_loss,val_metrics_val_auroc,val_metrics_val_bce_loss,val_metrics_val_dice,val_metrics_val_dice_loss,val_metrics_val_f1,val_metrics_val_focal_loss,val_metrics_val_iou,val_metrics_val_mask_loss,val_metrics_val_pixel_acc,val_metrics_val_pixel_auroc,val_metrics_val_pixel_f1,val_metrics_val_precision,val_metrics_val_recall,val_metrics_val_specificity,val_metrics_val_total_loss,val_pixel_acc,val_pixel_auroc,val_pixel_f1,val_precision,val_recall
2
+ 1,0.001,0.0,0.28662109375,0.6793206930160522,0.6793206930160522,0.6314384937286377,0.6555118560791016,0.07169104367494583,0.28662109375,0.6793206930160522,0.6793206930160522,0.794720982236322,0.0,0.0,0.6,0.6,0.6,0.6806302070617676,0.6806302070617676,0.794720982236322,0.6884124279022217,0.6,0.5922265648841858,0.6,0.08062143623828888,0.6,0.6806302070617676,0.6,0.794720982236322,0.6,0.6,0.6,0.6,0.6806302070617676,0.6,0.794720982236322,0.6,0.6,0.6
3
+ 2,0.0005005000000000001,0.0,0.412109375,0.6381259560585022,0.6381259560585022,0.5765066742897034,0.6437356472015381,0.05600963532924652,0.412109375,0.6381259560585022,0.6381259560585022,0.7961838679795619,0.0,0.0,0.6,0.6,0.6,0.6818180680274963,0.6818180680274963,0.7961838679795619,0.6896713376045227,0.6,0.5941232442855835,0.6,0.0798415094614029,0.6,0.6818180680274963,0.6,0.7961838679795619,0.6,0.6,0.6,0.6,0.6818180680274963,0.6,0.7961838679795619,0.6,0.6,0.6
versions/v1/reports/training_history.json CHANGED
@@ -2,43 +2,89 @@
2
  {
3
  "epoch": 1,
4
  "lr": 0.001,
5
- "train_loss": 0.7411096692085266,
6
- "train_mask_loss": 0.7411096692085266,
7
  "train_aux_loss": 0.0,
8
- "train_iou": 0.17578125,
9
- "val_loss": 0.6793217658996582,
10
- "val_mask_loss": 0.6793217658996582,
11
  "val_aux_loss": 0.0,
12
  "val_iou": 0.6,
13
  "val_dice": 0.6,
14
  "val_f1": 0.6,
15
  "val_pixel_f1": 0.6,
16
- "val_auroc": 0.79323464758927,
17
- "val_pixel_auroc": 0.79323464758927,
18
  "val_pixel_acc": 0.6,
19
  "val_precision": 0.6,
20
  "val_recall": 0.6,
21
  "val_aux_accuracy": 0.0,
22
  "train_metrics": {
23
- "bce_loss": 0.7112534642219543,
24
- "dice_loss": 0.673093318939209,
25
- "focal_loss": 0.09787261486053467,
26
- "mask_loss": 0.7411096692085266,
27
- "total_loss": 0.7411096692085266,
28
- "iou": 0.17578125
29
  },
30
  "val_metrics": {
31
- "val_bce_loss": 0.6869940757751465,
32
- "val_dice_loss": 0.590221107006073,
33
- "val_focal_loss": 0.08142829686403275,
34
- "val_mask_loss": 0.6793217658996582,
35
- "val_total_loss": 0.6793217658996582,
36
  "val_iou": 0.6,
37
  "val_dice": 0.6,
38
  "val_f1": 0.6,
39
  "val_pixel_f1": 0.6,
40
- "val_auroc": 0.79323464758927,
41
- "val_pixel_auroc": 0.79323464758927,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  "val_pixel_acc": 0.6,
43
  "val_precision": 0.6,
44
  "val_recall": 0.6,
 
2
  {
3
  "epoch": 1,
4
  "lr": 0.001,
5
+ "train_loss": 0.6793206930160522,
6
+ "train_mask_loss": 0.6793206930160522,
7
  "train_aux_loss": 0.0,
8
+ "train_iou": 0.28662109375,
9
+ "val_loss": 0.6806302070617676,
10
+ "val_mask_loss": 0.6806302070617676,
11
  "val_aux_loss": 0.0,
12
  "val_iou": 0.6,
13
  "val_dice": 0.6,
14
  "val_f1": 0.6,
15
  "val_pixel_f1": 0.6,
16
+ "val_auroc": 0.794720982236322,
17
+ "val_pixel_auroc": 0.794720982236322,
18
  "val_pixel_acc": 0.6,
19
  "val_precision": 0.6,
20
  "val_recall": 0.6,
21
  "val_aux_accuracy": 0.0,
22
  "train_metrics": {
23
+ "bce_loss": 0.6314384937286377,
24
+ "dice_loss": 0.6555118560791016,
25
+ "focal_loss": 0.07169104367494583,
26
+ "mask_loss": 0.6793206930160522,
27
+ "total_loss": 0.6793206930160522,
28
+ "iou": 0.28662109375
29
  },
30
  "val_metrics": {
31
+ "val_bce_loss": 0.6884124279022217,
32
+ "val_dice_loss": 0.5922265648841858,
33
+ "val_focal_loss": 0.08062143623828888,
34
+ "val_mask_loss": 0.6806302070617676,
35
+ "val_total_loss": 0.6806302070617676,
36
  "val_iou": 0.6,
37
  "val_dice": 0.6,
38
  "val_f1": 0.6,
39
  "val_pixel_f1": 0.6,
40
+ "val_auroc": 0.794720982236322,
41
+ "val_pixel_auroc": 0.794720982236322,
42
+ "val_pixel_acc": 0.6,
43
+ "val_precision": 0.6,
44
+ "val_recall": 0.6,
45
+ "val_specificity": 0.6
46
+ }
47
+ },
48
+ {
49
+ "epoch": 2,
50
+ "lr": 0.0005005000000000001,
51
+ "train_loss": 0.6381259560585022,
52
+ "train_mask_loss": 0.6381259560585022,
53
+ "train_aux_loss": 0.0,
54
+ "train_iou": 0.412109375,
55
+ "val_loss": 0.6818180680274963,
56
+ "val_mask_loss": 0.6818180680274963,
57
+ "val_aux_loss": 0.0,
58
+ "val_iou": 0.6,
59
+ "val_dice": 0.6,
60
+ "val_f1": 0.6,
61
+ "val_pixel_f1": 0.6,
62
+ "val_auroc": 0.7961838679795619,
63
+ "val_pixel_auroc": 0.7961838679795619,
64
+ "val_pixel_acc": 0.6,
65
+ "val_precision": 0.6,
66
+ "val_recall": 0.6,
67
+ "val_aux_accuracy": 0.0,
68
+ "train_metrics": {
69
+ "bce_loss": 0.5765066742897034,
70
+ "dice_loss": 0.6437356472015381,
71
+ "focal_loss": 0.05600963532924652,
72
+ "mask_loss": 0.6381259560585022,
73
+ "total_loss": 0.6381259560585022,
74
+ "iou": 0.412109375
75
+ },
76
+ "val_metrics": {
77
+ "val_bce_loss": 0.6896713376045227,
78
+ "val_dice_loss": 0.5941232442855835,
79
+ "val_focal_loss": 0.0798415094614029,
80
+ "val_mask_loss": 0.6818180680274963,
81
+ "val_total_loss": 0.6818180680274963,
82
+ "val_iou": 0.6,
83
+ "val_dice": 0.6,
84
+ "val_f1": 0.6,
85
+ "val_pixel_f1": 0.6,
86
+ "val_auroc": 0.7961838679795619,
87
+ "val_pixel_auroc": 0.7961838679795619,
88
  "val_pixel_acc": 0.6,
89
  "val_precision": 0.6,
90
  "val_recall": 0.6,