Datasets:
cmpatino
/
utility_driven_prediction

Dataset card Data Studio Files
xet
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epoch
int64
1
120
train_loss
float64
5.75
7.82k
train_accuracy
float64
3.36
98.1
validation_loss
float64
8.58
423
validation_accuracy
float64
5.53
88.9
101
8.250663
97.633696
9.460078
46.808511
102
6.94691
97.160435
9.15867
49.361702
103
8.918562
97.468055
9.654512
45.531915
104
7.577432
97.255088
9.331048
48.723404
105
7.490755
97.018457
9.383055
47.659574
106
6.628848
97.728348
9.932569
46.382979
107
9.832146
98.012305
9.558699
47.446809
108
7.046499
97.89399
9.434999
47.87234
109
8.766508
97.539044
9.483987
47.659574
110
7.102704
97.799337
9.522137
48.93617
111
8.461228
97.704685
9.736918
47.659574
112
7.724369
97.468055
9.593179
48.510638
113
5.750095
97.89399
9.521702
49.361702
114
5.98614
97.681022
9.290023
48.085106
115
7.199532
97.610033
9.581475
46.382979
116
7.39611
97.89399
9.884187
49.361702
117
6.102633
97.775674
9.772597
47.87234
118
6.858688
98.059631
9.837945
47.87234
119
7.216598
97.917653
9.77174
47.659574
120
9.664542
97.941316
9.768635
48.723404
1
7,821.891663
65.159967
423.43209
77.777344
1
1,363.92864
78.484667
110.689791
83.03
2
896.878196
84.296222
95.833016
84.8
3
789.996436
85.925333
89.198207
85.694
4
724.353399
86.958889
84.216149
86.42
5
676.737614
87.697556
81.593203
86.756
6
638.834349
88.323333
78.869818
87.31
7
607.791137
88.848667
76.508454
87.566
8
578.202973
89.328444
76.018743
87.708
9
555.73075
89.684889
74.222792
88.066
10
532.592998
90.147778
73.226897
88.336
11
511.806837
90.473111
72.206646
88.344
12
494.854208
90.777556
71.355711
88.544
13
476.021941
91.078889
71.223588
88.582
14
460.88218
91.372
70.460539
88.72
15
443.636141
91.708667
70.083909
88.89