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exp_id
int64
0
31
A
int64
-1
1
B
int64
-1
1
C
int64
-1
1
D
int64
-1
1
E
int64
-1
1
F
int64
-1
1
G
int64
-1
1
learning_rate
float64
0
0
weight_decay
float64
0
0.1
lr_scheduler_type
stringclasses
2 values
warmup_ratio
float64
0
0.15
gradient_accumulation_steps
int64
1
4
num_train_epochs
int64
50
200
per_device_train_batch_size
int64
2
4
train_mean_iou
float64
0.21
0.61
train_mean_accuracy
float64
0.54
0.87
train_precision_tree
float64
0.36
0.82
train_recall_tree
float64
0.27
0.82
train_dice_tree
float64
0.34
0.75
training_time_sec
float64
115
541
0
-1
-1
-1
-1
-1
1
1
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0
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0
1
200
4
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50
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-1
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50
4
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118.3066
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1
-1
1
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-1
0.00001
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cosine
0
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50
2
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0.493603
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6
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1
1
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1
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0.15
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200
2
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7
-1
-1
1
1
1
1
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0.15
4
200
4
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-1
1
-1
-1
-1
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linear
0
1
50
2
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127.998087
9
-1
1
-1
-1
1
-1
1
0.00001
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linear
0
4
50
4
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10
-1
1
-1
1
-1
1
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0.00001
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linear
0.15
1
200
4
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-1
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-1
1
1
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0.00001
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linear
0.15
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200
2
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12
-1
1
1
-1
-1
1
-1
0.00001
0.1
cosine
0
1
200
2
0.480584
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0.649182
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13
-1
1
1
-1
1
1
1
0.00001
0.1
cosine
0
4
200
4
0.350353
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0.411549
0.70204
0.518906
459.549062
14
-1
1
1
1
-1
-1
1
0.00001
0.1
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0.15
1
50
4
0.335703
0.543734
0.362445
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15
-1
1
1
1
1
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0.15
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50
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0.281485
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16
1
-1
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linear
0
1
50
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0.530569
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0.693296
127.132423
17
1
-1
-1
-1
1
-1
1
0.0001
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linear
0
4
50
4
0.446614
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0.631655
0.60389
0.617461
114.817534
18
1
-1
-1
1
-1
1
1
0.0001
0
linear
0.15
1
200
4
0.596032
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462.542674
19
1
-1
-1
1
1
1
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0.0001
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linear
0.15
4
200
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0.568375
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496.302714
20
1
-1
1
-1
-1
1
-1
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0
1
200
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510.642665
21
1
-1
1
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1
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4
200
4
0.520748
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465.174085
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1
-1
1
1
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0.0001
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1
50
4
0.506679
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0.603851
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121.879358
23
1
-1
1
1
1
-1
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cosine
0.15
4
50
2
0.398571
0.798168
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0.475576
0.569969
124.279331
24
1
1
-1
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-1
1
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0.0001
0.1
linear
0
1
200
4
0.603408
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0.780741
0.726523
0.752657
478.650181
25
1
1
-1
-1
1
1
-1
0.0001
0.1
linear
0
4
200
2
0.570793
0.856018
0.779354
0.680812
0.726758
494.694392
26
1
1
-1
1
-1
-1
-1
0.0001
0.1
linear
0.15
1
50
2
0.543836
0.851002
0.796507
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0.704526
129.636222
27
1
1
-1
1
1
-1
1
0.0001
0.1
linear
0.15
4
50
4
0.407026
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0.676787
0.578563
118.274941
28
1
1
1
-1
-1
-1
1
0.0001
0.1
cosine
0
1
50
4
0.47595
0.833274
0.804066
0.538392
0.64494
118.288641
29
1
1
1
-1
1
-1
-1
0.0001
0.1
cosine
0
4
50
2
0.424392
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0.773714
0.484533
0.595892
124.75383
30
1
1
1
1
-1
1
-1
0.0001
0.1
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0.15
1
200
2
0.605631
0.867803
0.790016
0.721828
0.754384
510.143238
31
1
1
1
1
1
1
1
0.0001
0.1
cosine
0.15
4
200
4
0.528485
0.84441
0.781602
0.620048
0.691515
461.491693
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