Hugging Face's logo

Datasets:
DBD-research-group
/
Leaderboard-Results

Modalities:
Text
Formats:
json
Size:
< 1K
Libraries:
Datasets
Dask
Dataset card Viewer Files Community
1
RuslanAntjuschin commited on
Commit
689cb52
·
verified ·
1 Parent(s): da3f1b1

Upload 128 files

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. AST-Dedicated/AST-Dedicated _float32_Dedicated_avg.json +14 -0
  2. AST-Dedicated/AST-Dedicated _float32_Dedicated_hsn.json +14 -0
  3. AST-Dedicated/AST-Dedicated _float32_Dedicated_nbp.json +14 -0
  4. AST-Dedicated/AST-Dedicated _float32_Dedicated_nes.json +14 -0
  5. AST-Dedicated/AST-Dedicated _float32_Dedicated_per.json +14 -0
  6. AST-Dedicated/AST-Dedicated _float32_Dedicated_sne.json +14 -0
  7. AST-Dedicated/AST-Dedicated _float32_Dedicated_ssw.json +14 -0
  8. AST-Dedicated/AST-Dedicated _float32_Dedicated_uhh.json +14 -0
  9. AST-XCL/AST-XCL_float32_XCL_avg.json +14 -0
  10. AST-XCL/AST-XCL_float32_XCL_hsn.json +14 -0
  11. AST-XCL/AST-XCL_float32_XCL_nbp.json +14 -0
  12. AST-XCL/AST-XCL_float32_XCL_nes.json +14 -0
  13. AST-XCL/AST-XCL_float32_XCL_per.json +14 -0
  14. AST-XCL/AST-XCL_float32_XCL_sne.json +14 -0
  15. AST-XCL/AST-XCL_float32_XCL_ssw.json +14 -0
  16. AST-XCL/AST-XCL_float32_XCL_uhh.json +14 -0
  17. AST-XCM/AST-XCM_float32_XCM_avg.json +14 -0
  18. AST-XCM/AST-XCM_float32_XCM_hsn.json +14 -0
  19. AST-XCM/AST-XCM_float32_XCM_nbp.json +14 -0
  20. AST-XCM/AST-XCM_float32_XCM_nes.json +14 -0
  21. AST-XCM/AST-XCM_float32_XCM_per.json +14 -0
  22. AST-XCM/AST-XCM_float32_XCM_sne.json +14 -0
  23. AST-XCM/AST-XCM_float32_XCM_ssw.json +14 -0
  24. AST-XCM/AST-XCM_float32_XCM_uhh.json +14 -0
  25. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_avg.json +14 -0
  26. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_hsn.json +14 -0
  27. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_nbp.json +14 -0
  28. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_nes.json +14 -0
  29. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_per.json +14 -0
  30. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_sne.json +14 -0
  31. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_ssw.json +14 -0
  32. ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_uhh.json +14 -0
  33. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_avg.json +14 -0
  34. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_hsn.json +14 -0
  35. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_nbp.json +14 -0
  36. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_nes.json +14 -0
  37. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_per.json +14 -0
  38. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_sne.json +14 -0
  39. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_ssw.json +14 -0
  40. ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_uhh.json +14 -0
  41. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_avg.json +14 -0
  42. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_hsn.json +14 -0
  43. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_nbp.json +14 -0
  44. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_nes.json +14 -0
  45. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_per.json +14 -0
  46. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_sne.json +14 -0
  47. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_ssw.json +14 -0
  48. ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_uhh.json +14 -0
  49. EAT-Dedicated/EAT-Dedicated_Other_Dedicated_avg.json +14 -0
  50. EAT-Dedicated/EAT-Dedicated_Other_Dedicated_hsn.json +14 -0
AST-Dedicated/AST-Dedicated _float32_Dedicated_avg.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "avg"
7
+ },
8
+ "results": {
9
+ "cmap": 0.29,
10
+ "auroc": 0.83,
11
+ "t1-acc": 0.48
12
+
13
+ }
14
+ }
AST-Dedicated/AST-Dedicated _float32_Dedicated_hsn.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "hsn"
7
+ },
8
+ "results": {
9
+ "cmap": 0.30,
10
+ "auroc": 0.83,
11
+ "t1-acc": 0.46
12
+
13
+ }
14
+ }
AST-Dedicated/AST-Dedicated _float32_Dedicated_nbp.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "nbp"
7
+ },
8
+ "results": {
9
+ "cmap": 0.59,
10
+ "auroc": 0.91,
11
+ "t1-acc": 0.63
12
+
13
+ }
14
+ }
AST-Dedicated/AST-Dedicated _float32_Dedicated_nes.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "nes"
7
+ },
8
+ "results": {
9
+ "cmap": 0.29,
10
+ "auroc": 0.88,
11
+ "t1-acc": 0.48
12
+
13
+ }
14
+ }
AST-Dedicated/AST-Dedicated _float32_Dedicated_per.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "per"
7
+ },
8
+ "results": {
9
+ "cmap": 0.19,
10
+ "auroc": 0.72,
11
+ "t1-acc": 0.42
12
+
13
+ }
14
+ }
AST-Dedicated/AST-Dedicated _float32_Dedicated_sne.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "sne"
7
+ },
8
+ "results": {
9
+ "cmap": 0.24,
10
+ "auroc": 0.81,
11
+ "t1-acc": 0.53
12
+
13
+ }
14
+ }
AST-Dedicated/AST-Dedicated _float32_Dedicated_ssw.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "ssw"
7
+ },
8
+ "results": {
9
+ "cmap": 0.30,
10
+ "auroc": 0.90,
11
+ "t1-acc": 0.50
12
+
13
+ }
14
+ }
AST-Dedicated/AST-Dedicated _float32_Dedicated_uhh.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "uhh"
7
+ },
8
+ "results": {
9
+ "cmap": 0.15,
10
+ "auroc": 0.78,
11
+ "t1-acc": 0.31
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_avg.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "avg"
7
+ },
8
+ "results": {
9
+ "cmap": 0.34,
10
+ "auroc": 0.84,
11
+ "t1-acc": 0.49
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_hsn.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "hsn"
7
+ },
8
+ "results": {
9
+ "cmap": 0.44,
10
+ "auroc": 0.85,
11
+ "t1-acc": 0.48
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_nbp.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "nbp"
7
+ },
8
+ "results": {
9
+ "cmap": 0.61,
10
+ "auroc": 0.91,
11
+ "t1-acc": 0.66
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_nes.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "nes"
7
+ },
8
+ "results": {
9
+ "cmap": 0.32,
10
+ "auroc": 0.89,
11
+ "t1-acc": 0.48
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_per.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "per"
7
+ },
8
+ "results": {
9
+ "cmap": 0.18,
10
+ "auroc": 0.72,
11
+ "t1-acc": 0.40
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_sne.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "sne"
7
+ },
8
+ "results": {
9
+ "cmap": 0.28,
10
+ "auroc": 0.82,
11
+ "t1-acc": 0.57
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_ssw.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "ssw"
7
+ },
8
+ "results": {
9
+ "cmap": 0.33,
10
+ "auroc": 0.93,
11
+ "t1-acc": 0.51
12
+
13
+ }
14
+ }
AST-XCL/AST-XCL_float32_XCL_uhh.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCL",
5
+ "training_dataset": "XCL",
6
+ "testing_type": "uhh"
7
+ },
8
+ "results": {
9
+ "cmap": 0.21,
10
+ "auroc": 0.75,
11
+ "t1-acc": 0.39
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_avg.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "avg"
7
+ },
8
+ "results": {
9
+ "cmap": 0.31,
10
+ "auroc": 0.83,
11
+ "t1-acc": 0.49
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_hsn.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "hsn"
7
+ },
8
+ "results": {
9
+ "cmap": 0.38,
10
+ "auroc": 0.84,
11
+ "t1-acc": 0.48
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_nbp.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "nbp"
7
+ },
8
+ "results": {
9
+ "cmap": 0.61,
10
+ "auroc": 0.91,
11
+ "t1-acc": 0.66
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_nes.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "nes"
7
+ },
8
+ "results": {
9
+ "cmap": 0.29,
10
+ "auroc": 0.88,
11
+ "t1-acc": 0.46
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_per.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "per"
7
+ },
8
+ "results": {
9
+ "cmap": 0.15,
10
+ "auroc": 0.69,
11
+ "t1-acc": 0.37
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_sne.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "sne"
7
+ },
8
+ "results": {
9
+ "cmap": 0.26,
10
+ "auroc": 0.82,
11
+ "t1-acc": 0.59
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_ssw.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "ssw"
7
+ },
8
+ "results": {
9
+ "cmap": 0.30,
10
+ "auroc": 0.90,
11
+ "t1-acc": 0.57
12
+
13
+ }
14
+ }
AST-XCM/AST-XCM_float32_XCM_uhh.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "AST-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "uhh"
7
+ },
8
+ "results": {
9
+ "cmap": 0.19,
10
+ "auroc": 0.78,
11
+ "t1-acc": 0.33
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_avg.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "avg"
7
+ },
8
+ "results": {
9
+ "cmap": 0.37,
10
+ "auroc": 0.83,
11
+ "t1-acc": 0.52
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_hsn.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "hsn"
7
+ },
8
+ "results": {
9
+ "cmap": 0.46,
10
+ "auroc": 0.88,
11
+ "t1-acc": 0.62
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_nbp.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "nbp"
7
+ },
8
+ "results": {
9
+ "cmap": 0.67,
10
+ "auroc": 0.92,
11
+ "t1-acc": 0.69
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_nes.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "nes"
7
+ },
8
+ "results": {
9
+ "cmap": 0.32,
10
+ "auroc": 0.86,
11
+ "t1-acc": 0.45
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_per.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "per"
7
+ },
8
+ "results": {
9
+ "cmap": 0.21,
10
+ "auroc": 0.73,
11
+ "t1-acc": 0.44
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_sne.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "sne"
7
+ },
8
+ "results": {
9
+ "cmap": 0.26,
10
+ "auroc": 0.79,
11
+ "t1-acc": 0.57
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_ssw.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "ssw"
7
+ },
8
+ "results": {
9
+ "cmap": 0.33,
10
+ "auroc": 0.91,
11
+ "t1-acc": 0.50
12
+
13
+ }
14
+ }
ConvNeXT-Dedicated/ConvNeXT-Dedicated_float32_Dedicated_uhh.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "uhh"
7
+ },
8
+ "results": {
9
+ "cmap": 0.23,
10
+ "auroc": 0.78,
11
+ "t1-acc": 0.43
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_avg.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "avg"
7
+ },
8
+ "results": {
9
+ "cmap": 0.36,
10
+ "auroc": 0.85,
11
+ "t1-acc": 0.51
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_hsn.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "hsn"
7
+ },
8
+ "results": {
9
+ "cmap": 0.47,
10
+ "auroc": 0.89,
11
+ "t1-acc": 0.52
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_nbp.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "nbp"
7
+ },
8
+ "results": {
9
+ "cmap": 0.62,
10
+ "auroc": 0.92,
11
+ "t1-acc": 0.64
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_nes.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "nes"
7
+ },
8
+ "results": {
9
+ "cmap": 0.34,
10
+ "auroc": 0.88,
11
+ "t1-acc": 0.45
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_per.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "per"
7
+ },
8
+ "results": {
9
+ "cmap": 0.19,
10
+ "auroc": 0.72,
11
+ "t1-acc": 0.36
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_sne.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "sne"
7
+ },
8
+ "results": {
9
+ "cmap": 0.30,
10
+ "auroc": 0.83,
11
+ "t1-acc": 0.65
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_ssw.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "ssw"
7
+ },
8
+ "results": {
9
+ "cmap": 0.35,
10
+ "auroc": 0.93,
11
+ "t1-acc": 0.53
12
+
13
+ }
14
+ }
ConvNeXT-XCL/ConvNeXT-XCL_float32_lt_uhh.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCL",
5
+ "training_dataset": "lt",
6
+ "testing_type": "uhh"
7
+ },
8
+ "results": {
9
+ "cmap": 0.26,
10
+ "auroc": 0.79,
11
+ "t1-acc": 0.44
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_avg.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "avg"
7
+ },
8
+ "results": {
9
+ "cmap": 0.36,
10
+ "auroc": 0.84,
11
+ "t1-acc": 0.57
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_hsn.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "hsn"
7
+ },
8
+ "results": {
9
+ "cmap": 0.47,
10
+ "auroc": 0.86,
11
+ "t1-acc": 0.46
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_nbp.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "nbp"
7
+ },
8
+ "results": {
9
+ "cmap": 0.64,
10
+ "auroc": 0.91,
11
+ "t1-acc": 0.66
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_nes.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "nes"
7
+ },
8
+ "results": {
9
+ "cmap": 0.32,
10
+ "auroc": 0.88,
11
+ "t1-acc": 0.49
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_per.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "per"
7
+ },
8
+ "results": {
9
+ "cmap": 0.18,
10
+ "auroc": 0.69,
11
+ "t1-acc": 0.46
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_sne.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "sne"
7
+ },
8
+ "results": {
9
+ "cmap": 0.28,
10
+ "auroc": 0.82,
11
+ "t1-acc": 0.68
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_ssw.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "ssw"
7
+ },
8
+ "results": {
9
+ "cmap": 0.36,
10
+ "auroc": 0.92,
11
+ "t1-acc": 0.60
12
+
13
+ }
14
+ }
ConvNeXT-XCM/ConvNeXT-XCM_float32_XCM_uhh.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "float32",
4
+ "model_name": "ConvNeXT-XCM",
5
+ "training_dataset": "XCM",
6
+ "testing_type": "uhh"
7
+ },
8
+ "results": {
9
+ "cmap": 0.24,
10
+ "auroc": 0.79,
11
+ "t1-acc": 0.41
12
+
13
+ }
14
+ }
EAT-Dedicated/EAT-Dedicated_Other_Dedicated_avg.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "Other",
4
+ "model_name": "EAT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "avg"
7
+ },
8
+ "results": {
9
+ "cmap": 0.33,
10
+ "auroc": 0.78,
11
+ "t1-acc": 0.47
12
+
13
+ }
14
+ }
EAT-Dedicated/EAT-Dedicated_Other_Dedicated_hsn.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "model_dtype": "Other",
4
+ "model_name": "EAT-Dedicated",
5
+ "training_dataset": "Dedicated",
6
+ "testing_type": "hsn"
7
+ },
8
+ "results": {
9
+ "cmap": 0.35,
10
+ "auroc": 0.79,
11
+ "t1-acc": 0.43
12
+
13
+ }
14
+ }