nathanReitinger commited on
Commit
9fa5dbc
1 Parent(s): 50b6e11

End of training

Browse files
Files changed (1) hide show
  1. README.md +305 -175
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.3997
21
- - Accuracy: 0.9067
22
 
23
  ## Model description
24
 
@@ -46,182 +46,312 @@ The following hyperparameters were used during training:
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
- - num_epochs: 170
50
 
51
  ### Training results
52
 
53
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
55
- | 1.8832 | 1.0 | 375 | 1.8439 | 0.6338 |
56
- | 1.0135 | 2.0 | 750 | 1.0339 | 0.7624 |
57
- | 0.7743 | 3.0 | 1125 | 0.7679 | 0.8057 |
58
- | 0.6289 | 4.0 | 1500 | 0.6305 | 0.8285 |
59
- | 0.5332 | 5.0 | 1875 | 0.5465 | 0.8438 |
60
- | 0.4558 | 6.0 | 2250 | 0.5083 | 0.8458 |
61
- | 0.4344 | 7.0 | 2625 | 0.4553 | 0.8518 |
62
- | 0.4183 | 8.0 | 3000 | 0.4187 | 0.8623 |
63
- | 0.3838 | 9.0 | 3375 | 0.3879 | 0.8709 |
64
- | 0.3837 | 10.0 | 3750 | 0.3775 | 0.8685 |
65
- | 0.3494 | 11.0 | 4125 | 0.3737 | 0.8712 |
66
- | 0.3812 | 12.0 | 4500 | 0.3492 | 0.8776 |
67
- | 0.3355 | 13.0 | 4875 | 0.3613 | 0.8733 |
68
- | 0.3676 | 14.0 | 5250 | 0.3523 | 0.8743 |
69
- | 0.2985 | 15.0 | 5625 | 0.3452 | 0.8773 |
70
- | 0.35 | 16.0 | 6000 | 0.3203 | 0.8868 |
71
- | 0.319 | 17.0 | 6375 | 0.3254 | 0.8829 |
72
- | 0.2999 | 18.0 | 6750 | 0.3344 | 0.8822 |
73
- | 0.2792 | 19.0 | 7125 | 0.3247 | 0.8823 |
74
- | 0.278 | 20.0 | 7500 | 0.3267 | 0.8829 |
75
- | 0.2673 | 21.0 | 7875 | 0.3143 | 0.8858 |
76
- | 0.2349 | 22.0 | 8250 | 0.3077 | 0.8915 |
77
- | 0.2339 | 23.0 | 8625 | 0.3237 | 0.8893 |
78
- | 0.244 | 24.0 | 9000 | 0.3048 | 0.8892 |
79
- | 0.2633 | 25.0 | 9375 | 0.3125 | 0.8911 |
80
- | 0.2425 | 26.0 | 9750 | 0.3141 | 0.8899 |
81
- | 0.2234 | 27.0 | 10125 | 0.3178 | 0.8921 |
82
- | 0.2127 | 28.0 | 10500 | 0.3187 | 0.8869 |
83
- | 0.2186 | 29.0 | 10875 | 0.3314 | 0.8848 |
84
- | 0.2152 | 30.0 | 11250 | 0.3261 | 0.8855 |
85
- | 0.2045 | 31.0 | 11625 | 0.3236 | 0.8882 |
86
- | 0.1676 | 32.0 | 12000 | 0.3313 | 0.8894 |
87
- | 0.2126 | 33.0 | 12375 | 0.3271 | 0.8897 |
88
- | 0.2166 | 34.0 | 12750 | 0.3262 | 0.8903 |
89
- | 0.2067 | 35.0 | 13125 | 0.3091 | 0.8968 |
90
- | 0.1695 | 36.0 | 13500 | 0.3198 | 0.8944 |
91
- | 0.2089 | 37.0 | 13875 | 0.3150 | 0.8968 |
92
- | 0.1639 | 38.0 | 14250 | 0.3300 | 0.8949 |
93
- | 0.1667 | 39.0 | 14625 | 0.3269 | 0.8912 |
94
- | 0.1874 | 40.0 | 15000 | 0.3275 | 0.8943 |
95
- | 0.1798 | 41.0 | 15375 | 0.3396 | 0.8948 |
96
- | 0.1608 | 42.0 | 15750 | 0.3187 | 0.8957 |
97
- | 0.1599 | 43.0 | 16125 | 0.3281 | 0.8973 |
98
- | 0.1766 | 44.0 | 16500 | 0.3434 | 0.8933 |
99
- | 0.1812 | 45.0 | 16875 | 0.3471 | 0.8954 |
100
- | 0.1773 | 46.0 | 17250 | 0.3268 | 0.8965 |
101
- | 0.1732 | 47.0 | 17625 | 0.3316 | 0.8942 |
102
- | 0.1577 | 48.0 | 18000 | 0.3384 | 0.8975 |
103
- | 0.1594 | 49.0 | 18375 | 0.3453 | 0.8934 |
104
- | 0.1508 | 50.0 | 18750 | 0.3459 | 0.8931 |
105
- | 0.1473 | 51.0 | 19125 | 0.3516 | 0.8933 |
106
- | 0.1516 | 52.0 | 19500 | 0.3428 | 0.8948 |
107
- | 0.1362 | 53.0 | 19875 | 0.3400 | 0.8945 |
108
- | 0.1615 | 54.0 | 20250 | 0.3458 | 0.8939 |
109
- | 0.1722 | 55.0 | 20625 | 0.3311 | 0.8958 |
110
- | 0.1351 | 56.0 | 21000 | 0.3484 | 0.8962 |
111
- | 0.1499 | 57.0 | 21375 | 0.3311 | 0.899 |
112
- | 0.1607 | 58.0 | 21750 | 0.3354 | 0.8987 |
113
- | 0.1703 | 59.0 | 22125 | 0.3525 | 0.8912 |
114
- | 0.1471 | 60.0 | 22500 | 0.3531 | 0.8948 |
115
- | 0.1483 | 61.0 | 22875 | 0.3546 | 0.8948 |
116
- | 0.174 | 62.0 | 23250 | 0.3503 | 0.8968 |
117
- | 0.1443 | 63.0 | 23625 | 0.3633 | 0.8957 |
118
- | 0.1387 | 64.0 | 24000 | 0.3437 | 0.8992 |
119
- | 0.1433 | 65.0 | 24375 | 0.3586 | 0.8982 |
120
- | 0.1508 | 66.0 | 24750 | 0.3450 | 0.8998 |
121
- | 0.1556 | 67.0 | 25125 | 0.3691 | 0.8977 |
122
- | 0.1226 | 68.0 | 25500 | 0.3393 | 0.9015 |
123
- | 0.1188 | 69.0 | 25875 | 0.3463 | 0.8997 |
124
- | 0.1344 | 70.0 | 26250 | 0.3438 | 0.9011 |
125
- | 0.1242 | 71.0 | 26625 | 0.3518 | 0.8968 |
126
- | 0.1292 | 72.0 | 27000 | 0.3533 | 0.8977 |
127
- | 0.1654 | 73.0 | 27375 | 0.3524 | 0.8965 |
128
- | 0.141 | 74.0 | 27750 | 0.3461 | 0.8982 |
129
- | 0.149 | 75.0 | 28125 | 0.3564 | 0.9025 |
130
- | 0.1129 | 76.0 | 28500 | 0.3728 | 0.8981 |
131
- | 0.1213 | 77.0 | 28875 | 0.3796 | 0.8975 |
132
- | 0.1394 | 78.0 | 29250 | 0.3666 | 0.8982 |
133
- | 0.1187 | 79.0 | 29625 | 0.3688 | 0.8972 |
134
- | 0.137 | 80.0 | 30000 | 0.3535 | 0.9008 |
135
- | 0.1253 | 81.0 | 30375 | 0.3509 | 0.9022 |
136
- | 0.1275 | 82.0 | 30750 | 0.3735 | 0.8976 |
137
- | 0.0954 | 83.0 | 31125 | 0.3688 | 0.8985 |
138
- | 0.1201 | 84.0 | 31500 | 0.3540 | 0.9022 |
139
- | 0.1051 | 85.0 | 31875 | 0.3733 | 0.8999 |
140
- | 0.1201 | 86.0 | 32250 | 0.3647 | 0.9035 |
141
- | 0.1251 | 87.0 | 32625 | 0.3699 | 0.8998 |
142
- | 0.1141 | 88.0 | 33000 | 0.3734 | 0.8996 |
143
- | 0.1116 | 89.0 | 33375 | 0.3836 | 0.8981 |
144
- | 0.1173 | 90.0 | 33750 | 0.3769 | 0.9003 |
145
- | 0.1071 | 91.0 | 34125 | 0.3654 | 0.8998 |
146
- | 0.1018 | 92.0 | 34500 | 0.3749 | 0.9018 |
147
- | 0.093 | 93.0 | 34875 | 0.3684 | 0.9012 |
148
- | 0.1298 | 94.0 | 35250 | 0.3627 | 0.9032 |
149
- | 0.0994 | 95.0 | 35625 | 0.3845 | 0.8996 |
150
- | 0.124 | 96.0 | 36000 | 0.3669 | 0.9028 |
151
- | 0.1044 | 97.0 | 36375 | 0.3742 | 0.8997 |
152
- | 0.1194 | 98.0 | 36750 | 0.3723 | 0.9057 |
153
- | 0.0962 | 99.0 | 37125 | 0.3777 | 0.9005 |
154
- | 0.1028 | 100.0 | 37500 | 0.3780 | 0.9048 |
155
- | 0.1102 | 101.0 | 37875 | 0.3919 | 0.9031 |
156
- | 0.0849 | 102.0 | 38250 | 0.3768 | 0.9017 |
157
- | 0.1138 | 103.0 | 38625 | 0.3685 | 0.9022 |
158
- | 0.1422 | 104.0 | 39000 | 0.3829 | 0.9041 |
159
- | 0.1094 | 105.0 | 39375 | 0.3925 | 0.8958 |
160
- | 0.1306 | 106.0 | 39750 | 0.3747 | 0.9048 |
161
- | 0.1059 | 107.0 | 40125 | 0.3814 | 0.905 |
162
- | 0.1147 | 108.0 | 40500 | 0.3725 | 0.9028 |
163
- | 0.1086 | 109.0 | 40875 | 0.3697 | 0.9032 |
164
- | 0.1001 | 110.0 | 41250 | 0.3895 | 0.9007 |
165
- | 0.0994 | 111.0 | 41625 | 0.3813 | 0.9048 |
166
- | 0.1159 | 112.0 | 42000 | 0.3858 | 0.8995 |
167
- | 0.0952 | 113.0 | 42375 | 0.4012 | 0.9018 |
168
- | 0.1064 | 114.0 | 42750 | 0.3858 | 0.9035 |
169
- | 0.0932 | 115.0 | 43125 | 0.3854 | 0.9072 |
170
- | 0.1131 | 116.0 | 43500 | 0.3942 | 0.9037 |
171
- | 0.1058 | 117.0 | 43875 | 0.4075 | 0.901 |
172
- | 0.1056 | 118.0 | 44250 | 0.3975 | 0.9016 |
173
- | 0.087 | 119.0 | 44625 | 0.3816 | 0.902 |
174
- | 0.1009 | 120.0 | 45000 | 0.3845 | 0.9035 |
175
- | 0.0872 | 121.0 | 45375 | 0.3900 | 0.9033 |
176
- | 0.0894 | 122.0 | 45750 | 0.4058 | 0.9019 |
177
- | 0.0878 | 123.0 | 46125 | 0.3972 | 0.9052 |
178
- | 0.1163 | 124.0 | 46500 | 0.3846 | 0.9066 |
179
- | 0.1003 | 125.0 | 46875 | 0.3934 | 0.9015 |
180
- | 0.0935 | 126.0 | 47250 | 0.3954 | 0.903 |
181
- | 0.0883 | 127.0 | 47625 | 0.3901 | 0.9067 |
182
- | 0.1109 | 128.0 | 48000 | 0.3800 | 0.9038 |
183
- | 0.0881 | 129.0 | 48375 | 0.4080 | 0.9021 |
184
- | 0.0912 | 130.0 | 48750 | 0.3925 | 0.9054 |
185
- | 0.0829 | 131.0 | 49125 | 0.4187 | 0.8992 |
186
- | 0.079 | 132.0 | 49500 | 0.3905 | 0.9041 |
187
- | 0.0788 | 133.0 | 49875 | 0.4077 | 0.9045 |
188
- | 0.085 | 134.0 | 50250 | 0.3973 | 0.9002 |
189
- | 0.0804 | 135.0 | 50625 | 0.3904 | 0.9063 |
190
- | 0.1052 | 136.0 | 51000 | 0.4110 | 0.9052 |
191
- | 0.082 | 137.0 | 51375 | 0.4106 | 0.9046 |
192
- | 0.0947 | 138.0 | 51750 | 0.3886 | 0.9089 |
193
- | 0.0908 | 139.0 | 52125 | 0.3948 | 0.9066 |
194
- | 0.0765 | 140.0 | 52500 | 0.4146 | 0.9028 |
195
- | 0.0688 | 141.0 | 52875 | 0.4000 | 0.9026 |
196
- | 0.1023 | 142.0 | 53250 | 0.4014 | 0.9071 |
197
- | 0.0751 | 143.0 | 53625 | 0.3932 | 0.9058 |
198
- | 0.0903 | 144.0 | 54000 | 0.4060 | 0.9052 |
199
- | 0.0875 | 145.0 | 54375 | 0.3941 | 0.9056 |
200
- | 0.0896 | 146.0 | 54750 | 0.3962 | 0.9067 |
201
- | 0.0666 | 147.0 | 55125 | 0.4053 | 0.9045 |
202
- | 0.0871 | 148.0 | 55500 | 0.4152 | 0.9019 |
203
- | 0.0924 | 149.0 | 55875 | 0.4091 | 0.906 |
204
- | 0.0865 | 150.0 | 56250 | 0.4197 | 0.9006 |
205
- | 0.1072 | 151.0 | 56625 | 0.4019 | 0.9052 |
206
- | 0.0956 | 152.0 | 57000 | 0.3962 | 0.9061 |
207
- | 0.0571 | 153.0 | 57375 | 0.3999 | 0.908 |
208
- | 0.0941 | 154.0 | 57750 | 0.4014 | 0.9067 |
209
- | 0.0854 | 155.0 | 58125 | 0.3906 | 0.9059 |
210
- | 0.0943 | 156.0 | 58500 | 0.4020 | 0.9064 |
211
- | 0.0933 | 157.0 | 58875 | 0.4166 | 0.9072 |
212
- | 0.0863 | 158.0 | 59250 | 0.3903 | 0.9089 |
213
- | 0.0818 | 159.0 | 59625 | 0.4006 | 0.9043 |
214
- | 0.0834 | 160.0 | 60000 | 0.4020 | 0.9054 |
215
- | 0.0919 | 161.0 | 60375 | 0.3927 | 0.9079 |
216
- | 0.089 | 162.0 | 60750 | 0.3889 | 0.9083 |
217
- | 0.0783 | 163.0 | 61125 | 0.4030 | 0.907 |
218
- | 0.0724 | 164.0 | 61500 | 0.4124 | 0.9066 |
219
- | 0.0643 | 165.0 | 61875 | 0.4051 | 0.9057 |
220
- | 0.0638 | 166.0 | 62250 | 0.4058 | 0.907 |
221
- | 0.0701 | 167.0 | 62625 | 0.3910 | 0.9077 |
222
- | 0.0515 | 168.0 | 63000 | 0.3881 | 0.9083 |
223
- | 0.0859 | 169.0 | 63375 | 0.3905 | 0.9098 |
224
- | 0.0799 | 170.0 | 63750 | 0.3997 | 0.9067 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
225
 
226
 
227
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.4566
21
+ - Accuracy: 0.9073
22
 
23
  ## Model description
24
 
 
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 300
50
 
51
  ### Training results
52
 
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
+ |:-------------:|:-----:|:------:|:---------------:|:--------:|
55
+ | 2.0665 | 1.0 | 375 | 2.0520 | 0.5303 |
56
+ | 1.3346 | 2.0 | 750 | 1.3436 | 0.7141 |
57
+ | 1.0001 | 3.0 | 1125 | 0.9733 | 0.7697 |
58
+ | 0.7604 | 4.0 | 1500 | 0.7950 | 0.7964 |
59
+ | 0.651 | 5.0 | 1875 | 0.6824 | 0.8224 |
60
+ | 0.5874 | 6.0 | 2250 | 0.6112 | 0.8266 |
61
+ | 0.5543 | 7.0 | 2625 | 0.5375 | 0.8391 |
62
+ | 0.504 | 8.0 | 3000 | 0.4992 | 0.8472 |
63
+ | 0.5299 | 9.0 | 3375 | 0.4514 | 0.8597 |
64
+ | 0.4556 | 10.0 | 3750 | 0.4251 | 0.8616 |
65
+ | 0.3919 | 11.0 | 4125 | 0.4200 | 0.8592 |
66
+ | 0.3716 | 12.0 | 4500 | 0.3959 | 0.8643 |
67
+ | 0.348 | 13.0 | 4875 | 0.3788 | 0.8698 |
68
+ | 0.3476 | 14.0 | 5250 | 0.3631 | 0.8717 |
69
+ | 0.3438 | 15.0 | 5625 | 0.3598 | 0.8752 |
70
+ | 0.3438 | 16.0 | 6000 | 0.3482 | 0.8769 |
71
+ | 0.2837 | 17.0 | 6375 | 0.3464 | 0.8814 |
72
+ | 0.3265 | 18.0 | 6750 | 0.3626 | 0.8697 |
73
+ | 0.276 | 19.0 | 7125 | 0.3304 | 0.8846 |
74
+ | 0.307 | 20.0 | 7500 | 0.3348 | 0.8838 |
75
+ | 0.317 | 21.0 | 7875 | 0.3291 | 0.885 |
76
+ | 0.3304 | 22.0 | 8250 | 0.3252 | 0.8844 |
77
+ | 0.2476 | 23.0 | 8625 | 0.3164 | 0.8888 |
78
+ | 0.3002 | 24.0 | 9000 | 0.3332 | 0.8801 |
79
+ | 0.2899 | 25.0 | 9375 | 0.3259 | 0.8835 |
80
+ | 0.264 | 26.0 | 9750 | 0.3254 | 0.8848 |
81
+ | 0.2713 | 27.0 | 10125 | 0.3120 | 0.8901 |
82
+ | 0.2392 | 28.0 | 10500 | 0.3280 | 0.8842 |
83
+ | 0.2299 | 29.0 | 10875 | 0.3202 | 0.8861 |
84
+ | 0.2494 | 30.0 | 11250 | 0.3310 | 0.8888 |
85
+ | 0.24 | 31.0 | 11625 | 0.3334 | 0.8821 |
86
+ | 0.1909 | 32.0 | 12000 | 0.3239 | 0.8892 |
87
+ | 0.2784 | 33.0 | 12375 | 0.3418 | 0.8818 |
88
+ | 0.2146 | 34.0 | 12750 | 0.3290 | 0.885 |
89
+ | 0.2113 | 35.0 | 13125 | 0.3377 | 0.8844 |
90
+ | 0.187 | 36.0 | 13500 | 0.3118 | 0.8915 |
91
+ | 0.2356 | 37.0 | 13875 | 0.3338 | 0.8837 |
92
+ | 0.212 | 38.0 | 14250 | 0.3225 | 0.8955 |
93
+ | 0.1891 | 39.0 | 14625 | 0.3241 | 0.8914 |
94
+ | 0.1825 | 40.0 | 15000 | 0.3227 | 0.8912 |
95
+ | 0.1999 | 41.0 | 15375 | 0.3258 | 0.8954 |
96
+ | 0.2248 | 42.0 | 15750 | 0.3196 | 0.8967 |
97
+ | 0.2047 | 43.0 | 16125 | 0.3301 | 0.8916 |
98
+ | 0.1734 | 44.0 | 16500 | 0.3314 | 0.8922 |
99
+ | 0.2015 | 45.0 | 16875 | 0.3161 | 0.8927 |
100
+ | 0.192 | 46.0 | 17250 | 0.3346 | 0.8915 |
101
+ | 0.1698 | 47.0 | 17625 | 0.3351 | 0.8928 |
102
+ | 0.1871 | 48.0 | 18000 | 0.3311 | 0.892 |
103
+ | 0.1849 | 49.0 | 18375 | 0.3172 | 0.8973 |
104
+ | 0.1804 | 50.0 | 18750 | 0.3360 | 0.8906 |
105
+ | 0.2109 | 51.0 | 19125 | 0.3325 | 0.8924 |
106
+ | 0.1739 | 52.0 | 19500 | 0.3476 | 0.8921 |
107
+ | 0.1853 | 53.0 | 19875 | 0.3473 | 0.8856 |
108
+ | 0.1733 | 54.0 | 20250 | 0.3461 | 0.8939 |
109
+ | 0.166 | 55.0 | 20625 | 0.3455 | 0.894 |
110
+ | 0.1459 | 56.0 | 21000 | 0.3602 | 0.8918 |
111
+ | 0.1609 | 57.0 | 21375 | 0.3481 | 0.8911 |
112
+ | 0.1591 | 58.0 | 21750 | 0.3587 | 0.8924 |
113
+ | 0.1613 | 59.0 | 22125 | 0.3413 | 0.8955 |
114
+ | 0.1294 | 60.0 | 22500 | 0.3239 | 0.9012 |
115
+ | 0.1521 | 61.0 | 22875 | 0.3337 | 0.898 |
116
+ | 0.1574 | 62.0 | 23250 | 0.3511 | 0.8902 |
117
+ | 0.187 | 63.0 | 23625 | 0.3423 | 0.8942 |
118
+ | 0.1674 | 64.0 | 24000 | 0.3452 | 0.8967 |
119
+ | 0.1359 | 65.0 | 24375 | 0.3572 | 0.8942 |
120
+ | 0.1443 | 66.0 | 24750 | 0.3602 | 0.894 |
121
+ | 0.1427 | 67.0 | 25125 | 0.3513 | 0.8995 |
122
+ | 0.1431 | 68.0 | 25500 | 0.3676 | 0.8945 |
123
+ | 0.1421 | 69.0 | 25875 | 0.3524 | 0.897 |
124
+ | 0.1422 | 70.0 | 26250 | 0.3651 | 0.894 |
125
+ | 0.1462 | 71.0 | 26625 | 0.3463 | 0.8996 |
126
+ | 0.1396 | 72.0 | 27000 | 0.3546 | 0.8969 |
127
+ | 0.1705 | 73.0 | 27375 | 0.3696 | 0.8937 |
128
+ | 0.1377 | 74.0 | 27750 | 0.3731 | 0.8902 |
129
+ | 0.1637 | 75.0 | 28125 | 0.3612 | 0.8948 |
130
+ | 0.1555 | 76.0 | 28500 | 0.3654 | 0.8977 |
131
+ | 0.1319 | 77.0 | 28875 | 0.3650 | 0.8967 |
132
+ | 0.138 | 78.0 | 29250 | 0.3723 | 0.8957 |
133
+ | 0.1292 | 79.0 | 29625 | 0.3750 | 0.8935 |
134
+ | 0.1356 | 80.0 | 30000 | 0.3789 | 0.894 |
135
+ | 0.1118 | 81.0 | 30375 | 0.3815 | 0.8955 |
136
+ | 0.1205 | 82.0 | 30750 | 0.3631 | 0.8979 |
137
+ | 0.1212 | 83.0 | 31125 | 0.3582 | 0.8972 |
138
+ | 0.1414 | 84.0 | 31500 | 0.3715 | 0.9005 |
139
+ | 0.139 | 85.0 | 31875 | 0.3734 | 0.8991 |
140
+ | 0.1055 | 86.0 | 32250 | 0.3782 | 0.8991 |
141
+ | 0.1072 | 87.0 | 32625 | 0.3676 | 0.897 |
142
+ | 0.1089 | 88.0 | 33000 | 0.3871 | 0.893 |
143
+ | 0.1376 | 89.0 | 33375 | 0.3615 | 0.9008 |
144
+ | 0.178 | 90.0 | 33750 | 0.4045 | 0.8899 |
145
+ | 0.1157 | 91.0 | 34125 | 0.3869 | 0.8952 |
146
+ | 0.1283 | 92.0 | 34500 | 0.3816 | 0.8968 |
147
+ | 0.1282 | 93.0 | 34875 | 0.3847 | 0.8973 |
148
+ | 0.1208 | 94.0 | 35250 | 0.3883 | 0.8947 |
149
+ | 0.1178 | 95.0 | 35625 | 0.3892 | 0.8948 |
150
+ | 0.1317 | 96.0 | 36000 | 0.4091 | 0.8952 |
151
+ | 0.1156 | 97.0 | 36375 | 0.3708 | 0.8986 |
152
+ | 0.1118 | 98.0 | 36750 | 0.3632 | 0.9021 |
153
+ | 0.1138 | 99.0 | 37125 | 0.3704 | 0.8975 |
154
+ | 0.0923 | 100.0 | 37500 | 0.3937 | 0.8998 |
155
+ | 0.1432 | 101.0 | 37875 | 0.3692 | 0.8989 |
156
+ | 0.1014 | 102.0 | 38250 | 0.3817 | 0.8982 |
157
+ | 0.1206 | 103.0 | 38625 | 0.3950 | 0.8951 |
158
+ | 0.1316 | 104.0 | 39000 | 0.3859 | 0.8984 |
159
+ | 0.1544 | 105.0 | 39375 | 0.3900 | 0.8962 |
160
+ | 0.1435 | 106.0 | 39750 | 0.3737 | 0.8976 |
161
+ | 0.1186 | 107.0 | 40125 | 0.3737 | 0.8997 |
162
+ | 0.1179 | 108.0 | 40500 | 0.3859 | 0.8979 |
163
+ | 0.1149 | 109.0 | 40875 | 0.3834 | 0.899 |
164
+ | 0.1038 | 110.0 | 41250 | 0.3658 | 0.9036 |
165
+ | 0.1058 | 111.0 | 41625 | 0.3891 | 0.9005 |
166
+ | 0.1266 | 112.0 | 42000 | 0.3828 | 0.8969 |
167
+ | 0.1146 | 113.0 | 42375 | 0.4001 | 0.8918 |
168
+ | 0.116 | 114.0 | 42750 | 0.4029 | 0.8939 |
169
+ | 0.1114 | 115.0 | 43125 | 0.3988 | 0.8991 |
170
+ | 0.123 | 116.0 | 43500 | 0.3934 | 0.8978 |
171
+ | 0.1151 | 117.0 | 43875 | 0.3915 | 0.8958 |
172
+ | 0.1459 | 118.0 | 44250 | 0.3837 | 0.8983 |
173
+ | 0.0967 | 119.0 | 44625 | 0.3942 | 0.8978 |
174
+ | 0.1157 | 120.0 | 45000 | 0.4096 | 0.8998 |
175
+ | 0.11 | 121.0 | 45375 | 0.3997 | 0.9007 |
176
+ | 0.104 | 122.0 | 45750 | 0.3807 | 0.8998 |
177
+ | 0.0997 | 123.0 | 46125 | 0.4028 | 0.8966 |
178
+ | 0.0822 | 124.0 | 46500 | 0.4013 | 0.8955 |
179
+ | 0.0918 | 125.0 | 46875 | 0.3977 | 0.8989 |
180
+ | 0.0828 | 126.0 | 47250 | 0.4008 | 0.8986 |
181
+ | 0.0814 | 127.0 | 47625 | 0.3996 | 0.8995 |
182
+ | 0.098 | 128.0 | 48000 | 0.3950 | 0.8966 |
183
+ | 0.1019 | 129.0 | 48375 | 0.4040 | 0.8981 |
184
+ | 0.1169 | 130.0 | 48750 | 0.3959 | 0.9001 |
185
+ | 0.1085 | 131.0 | 49125 | 0.4050 | 0.8999 |
186
+ | 0.1144 | 132.0 | 49500 | 0.3851 | 0.8999 |
187
+ | 0.078 | 133.0 | 49875 | 0.4251 | 0.8948 |
188
+ | 0.1126 | 134.0 | 50250 | 0.4209 | 0.8968 |
189
+ | 0.1164 | 135.0 | 50625 | 0.4059 | 0.8977 |
190
+ | 0.0827 | 136.0 | 51000 | 0.4044 | 0.9005 |
191
+ | 0.1045 | 137.0 | 51375 | 0.3909 | 0.8996 |
192
+ | 0.0791 | 138.0 | 51750 | 0.4036 | 0.8964 |
193
+ | 0.0783 | 139.0 | 52125 | 0.4175 | 0.8998 |
194
+ | 0.0922 | 140.0 | 52500 | 0.4035 | 0.9019 |
195
+ | 0.1062 | 141.0 | 52875 | 0.4038 | 0.8976 |
196
+ | 0.1096 | 142.0 | 53250 | 0.4117 | 0.8994 |
197
+ | 0.1017 | 143.0 | 53625 | 0.4025 | 0.9024 |
198
+ | 0.077 | 144.0 | 54000 | 0.4227 | 0.9015 |
199
+ | 0.1038 | 145.0 | 54375 | 0.3858 | 0.9004 |
200
+ | 0.1042 | 146.0 | 54750 | 0.3862 | 0.9005 |
201
+ | 0.0697 | 147.0 | 55125 | 0.4004 | 0.9026 |
202
+ | 0.1098 | 148.0 | 55500 | 0.4259 | 0.8995 |
203
+ | 0.0792 | 149.0 | 55875 | 0.4105 | 0.9002 |
204
+ | 0.0785 | 150.0 | 56250 | 0.4291 | 0.8995 |
205
+ | 0.0948 | 151.0 | 56625 | 0.4191 | 0.9022 |
206
+ | 0.0758 | 152.0 | 57000 | 0.4425 | 0.8948 |
207
+ | 0.084 | 153.0 | 57375 | 0.3989 | 0.9012 |
208
+ | 0.0886 | 154.0 | 57750 | 0.4022 | 0.8993 |
209
+ | 0.0839 | 155.0 | 58125 | 0.4182 | 0.8993 |
210
+ | 0.0944 | 156.0 | 58500 | 0.4232 | 0.8985 |
211
+ | 0.0864 | 157.0 | 58875 | 0.4235 | 0.8986 |
212
+ | 0.0945 | 158.0 | 59250 | 0.4273 | 0.9005 |
213
+ | 0.0791 | 159.0 | 59625 | 0.4271 | 0.8989 |
214
+ | 0.0916 | 160.0 | 60000 | 0.4296 | 0.8994 |
215
+ | 0.0918 | 161.0 | 60375 | 0.4203 | 0.9002 |
216
+ | 0.0947 | 162.0 | 60750 | 0.4044 | 0.9023 |
217
+ | 0.1048 | 163.0 | 61125 | 0.4092 | 0.9023 |
218
+ | 0.1076 | 164.0 | 61500 | 0.4169 | 0.902 |
219
+ | 0.0932 | 165.0 | 61875 | 0.4470 | 0.8992 |
220
+ | 0.0614 | 166.0 | 62250 | 0.4403 | 0.8971 |
221
+ | 0.1037 | 167.0 | 62625 | 0.4328 | 0.8996 |
222
+ | 0.0983 | 168.0 | 63000 | 0.4227 | 0.9016 |
223
+ | 0.0902 | 169.0 | 63375 | 0.4249 | 0.901 |
224
+ | 0.0791 | 170.0 | 63750 | 0.4454 | 0.8996 |
225
+ | 0.0909 | 171.0 | 64125 | 0.4213 | 0.9019 |
226
+ | 0.0914 | 172.0 | 64500 | 0.4173 | 0.9042 |
227
+ | 0.1065 | 173.0 | 64875 | 0.4292 | 0.8992 |
228
+ | 0.0996 | 174.0 | 65250 | 0.4199 | 0.9034 |
229
+ | 0.0949 | 175.0 | 65625 | 0.4369 | 0.8972 |
230
+ | 0.0668 | 176.0 | 66000 | 0.4333 | 0.8993 |
231
+ | 0.09 | 177.0 | 66375 | 0.4366 | 0.8998 |
232
+ | 0.0931 | 178.0 | 66750 | 0.4459 | 0.9008 |
233
+ | 0.0655 | 179.0 | 67125 | 0.4323 | 0.8998 |
234
+ | 0.0709 | 180.0 | 67500 | 0.4277 | 0.9002 |
235
+ | 0.0944 | 181.0 | 67875 | 0.4428 | 0.9011 |
236
+ | 0.0506 | 182.0 | 68250 | 0.4304 | 0.9012 |
237
+ | 0.0733 | 183.0 | 68625 | 0.4333 | 0.8993 |
238
+ | 0.0864 | 184.0 | 69000 | 0.4618 | 0.8965 |
239
+ | 0.0936 | 185.0 | 69375 | 0.4417 | 0.9005 |
240
+ | 0.0872 | 186.0 | 69750 | 0.4424 | 0.899 |
241
+ | 0.1057 | 187.0 | 70125 | 0.4253 | 0.9036 |
242
+ | 0.0782 | 188.0 | 70500 | 0.4382 | 0.9004 |
243
+ | 0.0837 | 189.0 | 70875 | 0.4474 | 0.8987 |
244
+ | 0.0887 | 190.0 | 71250 | 0.4284 | 0.9048 |
245
+ | 0.0644 | 191.0 | 71625 | 0.4488 | 0.9016 |
246
+ | 0.0688 | 192.0 | 72000 | 0.4485 | 0.8993 |
247
+ | 0.0814 | 193.0 | 72375 | 0.4329 | 0.9023 |
248
+ | 0.076 | 194.0 | 72750 | 0.4330 | 0.9019 |
249
+ | 0.1074 | 195.0 | 73125 | 0.4217 | 0.9012 |
250
+ | 0.0673 | 196.0 | 73500 | 0.4384 | 0.9004 |
251
+ | 0.0719 | 197.0 | 73875 | 0.4495 | 0.902 |
252
+ | 0.0896 | 198.0 | 74250 | 0.4529 | 0.8996 |
253
+ | 0.0907 | 199.0 | 74625 | 0.4422 | 0.9021 |
254
+ | 0.0731 | 200.0 | 75000 | 0.4476 | 0.8992 |
255
+ | 0.0939 | 201.0 | 75375 | 0.4318 | 0.9028 |
256
+ | 0.0737 | 202.0 | 75750 | 0.4276 | 0.9039 |
257
+ | 0.0813 | 203.0 | 76125 | 0.4491 | 0.8984 |
258
+ | 0.0769 | 204.0 | 76500 | 0.4442 | 0.9024 |
259
+ | 0.0802 | 205.0 | 76875 | 0.4481 | 0.9027 |
260
+ | 0.0857 | 206.0 | 77250 | 0.4324 | 0.9009 |
261
+ | 0.0764 | 207.0 | 77625 | 0.4464 | 0.9051 |
262
+ | 0.0862 | 208.0 | 78000 | 0.4607 | 0.899 |
263
+ | 0.0754 | 209.0 | 78375 | 0.4600 | 0.901 |
264
+ | 0.0625 | 210.0 | 78750 | 0.4348 | 0.906 |
265
+ | 0.0779 | 211.0 | 79125 | 0.4489 | 0.9057 |
266
+ | 0.0666 | 212.0 | 79500 | 0.4530 | 0.8992 |
267
+ | 0.0644 | 213.0 | 79875 | 0.4470 | 0.9019 |
268
+ | 0.0819 | 214.0 | 80250 | 0.4517 | 0.9018 |
269
+ | 0.0524 | 215.0 | 80625 | 0.4556 | 0.9008 |
270
+ | 0.0847 | 216.0 | 81000 | 0.4529 | 0.9007 |
271
+ | 0.0671 | 217.0 | 81375 | 0.4703 | 0.8978 |
272
+ | 0.0804 | 218.0 | 81750 | 0.4798 | 0.8995 |
273
+ | 0.065 | 219.0 | 82125 | 0.4528 | 0.9014 |
274
+ | 0.0669 | 220.0 | 82500 | 0.4454 | 0.9069 |
275
+ | 0.0705 | 221.0 | 82875 | 0.4272 | 0.9054 |
276
+ | 0.0738 | 222.0 | 83250 | 0.4662 | 0.9015 |
277
+ | 0.099 | 223.0 | 83625 | 0.4480 | 0.9011 |
278
+ | 0.0866 | 224.0 | 84000 | 0.4577 | 0.9012 |
279
+ | 0.0609 | 225.0 | 84375 | 0.4579 | 0.8996 |
280
+ | 0.1066 | 226.0 | 84750 | 0.4378 | 0.9038 |
281
+ | 0.0697 | 227.0 | 85125 | 0.4501 | 0.9029 |
282
+ | 0.0722 | 228.0 | 85500 | 0.4610 | 0.9028 |
283
+ | 0.0679 | 229.0 | 85875 | 0.4627 | 0.8998 |
284
+ | 0.0729 | 230.0 | 86250 | 0.4477 | 0.9008 |
285
+ | 0.0847 | 231.0 | 86625 | 0.4602 | 0.9011 |
286
+ | 0.0626 | 232.0 | 87000 | 0.4569 | 0.9008 |
287
+ | 0.0545 | 233.0 | 87375 | 0.4615 | 0.9023 |
288
+ | 0.0725 | 234.0 | 87750 | 0.4563 | 0.9 |
289
+ | 0.0824 | 235.0 | 88125 | 0.4574 | 0.9042 |
290
+ | 0.0617 | 236.0 | 88500 | 0.4494 | 0.9056 |
291
+ | 0.0675 | 237.0 | 88875 | 0.4713 | 0.9022 |
292
+ | 0.0806 | 238.0 | 89250 | 0.4713 | 0.9027 |
293
+ | 0.0612 | 239.0 | 89625 | 0.4484 | 0.9068 |
294
+ | 0.0741 | 240.0 | 90000 | 0.4454 | 0.9032 |
295
+ | 0.0788 | 241.0 | 90375 | 0.4582 | 0.9016 |
296
+ | 0.052 | 242.0 | 90750 | 0.4514 | 0.9018 |
297
+ | 0.0736 | 243.0 | 91125 | 0.4475 | 0.9072 |
298
+ | 0.0651 | 244.0 | 91500 | 0.4669 | 0.903 |
299
+ | 0.0642 | 245.0 | 91875 | 0.4558 | 0.902 |
300
+ | 0.0577 | 246.0 | 92250 | 0.4756 | 0.9038 |
301
+ | 0.0634 | 247.0 | 92625 | 0.4567 | 0.9031 |
302
+ | 0.0716 | 248.0 | 93000 | 0.4607 | 0.9078 |
303
+ | 0.0765 | 249.0 | 93375 | 0.4485 | 0.9087 |
304
+ | 0.0575 | 250.0 | 93750 | 0.4720 | 0.9029 |
305
+ | 0.0707 | 251.0 | 94125 | 0.4543 | 0.9049 |
306
+ | 0.0713 | 252.0 | 94500 | 0.4745 | 0.9044 |
307
+ | 0.0774 | 253.0 | 94875 | 0.4628 | 0.9039 |
308
+ | 0.0524 | 254.0 | 95250 | 0.4626 | 0.9064 |
309
+ | 0.0716 | 255.0 | 95625 | 0.4630 | 0.9039 |
310
+ | 0.0607 | 256.0 | 96000 | 0.4606 | 0.9049 |
311
+ | 0.0837 | 257.0 | 96375 | 0.4455 | 0.9086 |
312
+ | 0.061 | 258.0 | 96750 | 0.4701 | 0.9032 |
313
+ | 0.0536 | 259.0 | 97125 | 0.4752 | 0.9012 |
314
+ | 0.0748 | 260.0 | 97500 | 0.4835 | 0.904 |
315
+ | 0.0556 | 261.0 | 97875 | 0.4661 | 0.9055 |
316
+ | 0.0403 | 262.0 | 98250 | 0.4558 | 0.9057 |
317
+ | 0.0633 | 263.0 | 98625 | 0.4738 | 0.9042 |
318
+ | 0.0765 | 264.0 | 99000 | 0.4572 | 0.9061 |
319
+ | 0.0741 | 265.0 | 99375 | 0.4652 | 0.9072 |
320
+ | 0.0642 | 266.0 | 99750 | 0.4638 | 0.9036 |
321
+ | 0.0605 | 267.0 | 100125 | 0.4717 | 0.9026 |
322
+ | 0.051 | 268.0 | 100500 | 0.4778 | 0.8997 |
323
+ | 0.0615 | 269.0 | 100875 | 0.4597 | 0.9058 |
324
+ | 0.0683 | 270.0 | 101250 | 0.4479 | 0.9089 |
325
+ | 0.0489 | 271.0 | 101625 | 0.4705 | 0.9028 |
326
+ | 0.0748 | 272.0 | 102000 | 0.4791 | 0.9058 |
327
+ | 0.0722 | 273.0 | 102375 | 0.4709 | 0.9057 |
328
+ | 0.0689 | 274.0 | 102750 | 0.4780 | 0.9022 |
329
+ | 0.0589 | 275.0 | 103125 | 0.4508 | 0.9073 |
330
+ | 0.0681 | 276.0 | 103500 | 0.4658 | 0.9053 |
331
+ | 0.0565 | 277.0 | 103875 | 0.4541 | 0.9045 |
332
+ | 0.0668 | 278.0 | 104250 | 0.4734 | 0.9033 |
333
+ | 0.037 | 279.0 | 104625 | 0.4743 | 0.9074 |
334
+ | 0.0508 | 280.0 | 105000 | 0.4579 | 0.9084 |
335
+ | 0.052 | 281.0 | 105375 | 0.4767 | 0.905 |
336
+ | 0.0628 | 282.0 | 105750 | 0.4637 | 0.9104 |
337
+ | 0.0588 | 283.0 | 106125 | 0.4672 | 0.9083 |
338
+ | 0.0539 | 284.0 | 106500 | 0.4690 | 0.9062 |
339
+ | 0.0725 | 285.0 | 106875 | 0.4680 | 0.9037 |
340
+ | 0.0694 | 286.0 | 107250 | 0.4990 | 0.902 |
341
+ | 0.065 | 287.0 | 107625 | 0.4609 | 0.9062 |
342
+ | 0.0583 | 288.0 | 108000 | 0.4600 | 0.908 |
343
+ | 0.0577 | 289.0 | 108375 | 0.4666 | 0.9054 |
344
+ | 0.0562 | 290.0 | 108750 | 0.4766 | 0.905 |
345
+ | 0.056 | 291.0 | 109125 | 0.4772 | 0.9026 |
346
+ | 0.065 | 292.0 | 109500 | 0.4682 | 0.9039 |
347
+ | 0.0647 | 293.0 | 109875 | 0.4693 | 0.9075 |
348
+ | 0.0522 | 294.0 | 110250 | 0.4686 | 0.9106 |
349
+ | 0.0771 | 295.0 | 110625 | 0.4582 | 0.9061 |
350
+ | 0.0672 | 296.0 | 111000 | 0.4686 | 0.9065 |
351
+ | 0.0568 | 297.0 | 111375 | 0.4637 | 0.9078 |
352
+ | 0.0337 | 298.0 | 111750 | 0.4644 | 0.9058 |
353
+ | 0.057 | 299.0 | 112125 | 0.4758 | 0.9048 |
354
+ | 0.0463 | 300.0 | 112500 | 0.4566 | 0.9073 |
355
 
356
 
357
  ### Framework versions