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bert_baseline_language_task3_fold1

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  1. README.md +167 -167
  2. runs/Aug25_05-41-07_358cdae836c1/events.out.tfevents.1724564469.358cdae836c1.24.0 +3 -0
  3. runs/Aug25_06-04-04_358cdae836c1/events.out.tfevents.1724565845.358cdae836c1.24.1 +3 -0
  4. runs/Aug25_06-27-02_358cdae836c1/events.out.tfevents.1724567223.358cdae836c1.24.2 +3 -0
  5. runs/Aug25_06-50-00_358cdae836c1/events.out.tfevents.1724568601.358cdae836c1.24.3 +3 -0
  6. runs/Aug25_07-12-58_358cdae836c1/events.out.tfevents.1724569978.358cdae836c1.24.4 +3 -0
  7. runs/Aug25_07-35-55_358cdae836c1/events.out.tfevents.1724571356.358cdae836c1.24.5 +3 -0
  8. runs/Aug25_07-59-55_358cdae836c1/events.out.tfevents.1724572795.358cdae836c1.24.6 +3 -0
  9. runs/Aug25_08-24-05_358cdae836c1/events.out.tfevents.1724574246.358cdae836c1.24.7 +3 -0
  10. runs/Aug25_08-48-17_358cdae836c1/events.out.tfevents.1724575698.358cdae836c1.24.8 +3 -0
  11. runs/Aug25_09-12-24_358cdae836c1/events.out.tfevents.1724577145.358cdae836c1.24.9 +3 -0
  12. runs/Aug25_09-36-31_358cdae836c1/events.out.tfevents.1724578591.358cdae836c1.24.10 +3 -0
  13. runs/Aug25_10-01-23_358cdae836c1/events.out.tfevents.1724580084.358cdae836c1.24.11 +3 -0
  14. runs/Aug25_10-26-23_358cdae836c1/events.out.tfevents.1724581584.358cdae836c1.24.12 +3 -0
  15. runs/Aug25_10-51-26_358cdae836c1/events.out.tfevents.1724583087.358cdae836c1.24.13 +3 -0
  16. runs/Aug25_11-16-26_358cdae836c1/events.out.tfevents.1724584587.358cdae836c1.24.14 +3 -0
  17. runs/Aug25_11-41-27_358cdae836c1/events.out.tfevents.1724586087.358cdae836c1.24.15 +3 -0
  18. runs/Aug25_12-06-23_358cdae836c1/events.out.tfevents.1724587584.358cdae836c1.24.16 +3 -0
  19. runs/Aug25_12-31-14_358cdae836c1/events.out.tfevents.1724589075.358cdae836c1.24.17 +3 -0
  20. runs/Aug25_12-56-11_358cdae836c1/events.out.tfevents.1724590572.358cdae836c1.24.18 +3 -0
  21. runs/Aug25_13-21-09_358cdae836c1/events.out.tfevents.1724592070.358cdae836c1.24.19 +3 -0
  22. runs/Aug25_13-46-06_358cdae836c1/events.out.tfevents.1724593567.358cdae836c1.24.20 +3 -0
  23. runs/Aug25_14-09-07_358cdae836c1/events.out.tfevents.1724594948.358cdae836c1.24.21 +3 -0
  24. training_args.bin +1 -1
README.md CHANGED
@@ -4,20 +4,20 @@ base_model: google-bert/bert-base-cased
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
- - name: bert_baseline_language_task3_fold1
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
- # bert_baseline_language_task3_fold1
15
 
16
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.4262
19
- - Qwk: 0.6124
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- - Mse: 0.4266
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22
  ## Model description
23
 
@@ -48,168 +48,168 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
- | No log | 0.0308 | 2 | 0.8870 | 0.0925 | 0.8868 |
52
- | No log | 0.0615 | 4 | 0.7074 | 0.0001 | 0.7076 |
53
- | No log | 0.0923 | 6 | 0.5986 | 0.0 | 0.5991 |
54
- | No log | 0.1231 | 8 | 0.5513 | 0.0 | 0.5520 |
55
- | No log | 0.1538 | 10 | 0.5502 | 0.0 | 0.5513 |
56
- | No log | 0.1846 | 12 | 0.5404 | 0.0127 | 0.5415 |
57
- | No log | 0.2154 | 14 | 0.5025 | 0.1340 | 0.5033 |
58
- | No log | 0.2462 | 16 | 0.4826 | 0.1469 | 0.4832 |
59
- | No log | 0.2769 | 18 | 0.4620 | 0.2155 | 0.4626 |
60
- | No log | 0.3077 | 20 | 0.4810 | 0.3309 | 0.4817 |
61
- | No log | 0.3385 | 22 | 0.5153 | 0.4227 | 0.5160 |
62
- | No log | 0.3692 | 24 | 0.4589 | 0.4795 | 0.4592 |
63
- | No log | 0.4 | 26 | 0.4319 | 0.4467 | 0.4320 |
64
- | No log | 0.4308 | 28 | 0.4428 | 0.4264 | 0.4427 |
65
- | No log | 0.4615 | 30 | 0.4292 | 0.4523 | 0.4291 |
66
- | No log | 0.4923 | 32 | 0.4282 | 0.4904 | 0.4280 |
67
- | No log | 0.5231 | 34 | 0.4552 | 0.5514 | 0.4553 |
68
- | No log | 0.5538 | 36 | 0.4183 | 0.5466 | 0.4185 |
69
- | No log | 0.5846 | 38 | 0.3813 | 0.4706 | 0.3814 |
70
- | No log | 0.6154 | 40 | 0.3905 | 0.2902 | 0.3906 |
71
- | No log | 0.6462 | 42 | 0.4493 | 0.2409 | 0.4492 |
72
- | No log | 0.6769 | 44 | 0.4976 | 0.2597 | 0.4973 |
73
- | No log | 0.7077 | 46 | 0.4551 | 0.2665 | 0.4549 |
74
- | No log | 0.7385 | 48 | 0.3889 | 0.2380 | 0.3890 |
75
- | No log | 0.7692 | 50 | 0.4172 | 0.5137 | 0.4178 |
76
- | No log | 0.8 | 52 | 0.4834 | 0.5688 | 0.4845 |
77
- | No log | 0.8308 | 54 | 0.4870 | 0.5960 | 0.4880 |
78
- | No log | 0.8615 | 56 | 0.4124 | 0.5790 | 0.4130 |
79
- | No log | 0.8923 | 58 | 0.3642 | 0.4682 | 0.3643 |
80
- | No log | 0.9231 | 60 | 0.3734 | 0.4072 | 0.3732 |
81
- | No log | 0.9538 | 62 | 0.3774 | 0.4470 | 0.3772 |
82
- | No log | 0.9846 | 64 | 0.3729 | 0.4755 | 0.3726 |
83
- | No log | 1.0154 | 66 | 0.3573 | 0.5291 | 0.3571 |
84
- | No log | 1.0462 | 68 | 0.3975 | 0.5802 | 0.3977 |
85
- | No log | 1.0769 | 70 | 0.4171 | 0.5857 | 0.4173 |
86
- | No log | 1.1077 | 72 | 0.4102 | 0.5933 | 0.4103 |
87
- | No log | 1.1385 | 74 | 0.3867 | 0.5655 | 0.3866 |
88
- | No log | 1.1692 | 76 | 0.3743 | 0.5067 | 0.3741 |
89
- | No log | 1.2 | 78 | 0.3661 | 0.5380 | 0.3660 |
90
- | No log | 1.2308 | 80 | 0.3719 | 0.5747 | 0.3721 |
91
- | No log | 1.2615 | 82 | 0.5083 | 0.6144 | 0.5089 |
92
- | No log | 1.2923 | 84 | 0.6472 | 0.6073 | 0.6481 |
93
- | No log | 1.3231 | 86 | 0.5293 | 0.6158 | 0.5301 |
94
- | No log | 1.3538 | 88 | 0.3608 | 0.5480 | 0.3612 |
95
- | No log | 1.3846 | 90 | 0.3440 | 0.4045 | 0.3441 |
96
- | No log | 1.4154 | 92 | 0.3426 | 0.4095 | 0.3427 |
97
- | No log | 1.4462 | 94 | 0.3663 | 0.5727 | 0.3667 |
98
- | No log | 1.4769 | 96 | 0.4682 | 0.6006 | 0.4690 |
99
- | No log | 1.5077 | 98 | 0.5099 | 0.6140 | 0.5107 |
100
- | No log | 1.5385 | 100 | 0.4683 | 0.6234 | 0.4689 |
101
- | No log | 1.5692 | 102 | 0.3595 | 0.6309 | 0.3596 |
102
- | No log | 1.6 | 104 | 0.3246 | 0.4830 | 0.3242 |
103
- | No log | 1.6308 | 106 | 0.3556 | 0.4287 | 0.3550 |
104
- | No log | 1.6615 | 108 | 0.3322 | 0.5091 | 0.3318 |
105
- | No log | 1.6923 | 110 | 0.3542 | 0.6201 | 0.3539 |
106
- | No log | 1.7231 | 112 | 0.3934 | 0.6265 | 0.3933 |
107
- | No log | 1.7538 | 114 | 0.3951 | 0.6265 | 0.3950 |
108
- | No log | 1.7846 | 116 | 0.3593 | 0.6167 | 0.3592 |
109
- | No log | 1.8154 | 118 | 0.3356 | 0.5937 | 0.3354 |
110
- | No log | 1.8462 | 120 | 0.3255 | 0.5741 | 0.3254 |
111
- | No log | 1.8769 | 122 | 0.3379 | 0.6105 | 0.3380 |
112
- | No log | 1.9077 | 124 | 0.3820 | 0.6099 | 0.3824 |
113
- | No log | 1.9385 | 126 | 0.3679 | 0.6070 | 0.3684 |
114
- | No log | 1.9692 | 128 | 0.3266 | 0.5956 | 0.3268 |
115
- | No log | 2.0 | 130 | 0.3191 | 0.4785 | 0.3190 |
116
- | No log | 2.0308 | 132 | 0.3217 | 0.4787 | 0.3215 |
117
- | No log | 2.0615 | 134 | 0.3170 | 0.5516 | 0.3171 |
118
- | No log | 2.0923 | 136 | 0.3244 | 0.6063 | 0.3247 |
119
- | No log | 2.1231 | 138 | 0.3330 | 0.6011 | 0.3334 |
120
- | No log | 2.1538 | 140 | 0.3339 | 0.5930 | 0.3343 |
121
- | No log | 2.1846 | 142 | 0.3293 | 0.5757 | 0.3297 |
122
- | No log | 2.2154 | 144 | 0.3419 | 0.5909 | 0.3424 |
123
- | No log | 2.2462 | 146 | 0.3916 | 0.6177 | 0.3923 |
124
- | No log | 2.2769 | 148 | 0.5416 | 0.6583 | 0.5428 |
125
- | No log | 2.3077 | 150 | 0.6378 | 0.6630 | 0.6391 |
126
- | No log | 2.3385 | 152 | 0.5618 | 0.6640 | 0.5629 |
127
- | No log | 2.3692 | 154 | 0.4316 | 0.6439 | 0.4323 |
128
- | No log | 2.4 | 156 | 0.3405 | 0.5793 | 0.3408 |
129
- | No log | 2.4308 | 158 | 0.3258 | 0.5387 | 0.3260 |
130
- | No log | 2.4615 | 160 | 0.3378 | 0.5750 | 0.3382 |
131
- | No log | 2.4923 | 162 | 0.3549 | 0.5908 | 0.3554 |
132
- | No log | 2.5231 | 164 | 0.3973 | 0.6155 | 0.3980 |
133
- | No log | 2.5538 | 166 | 0.3840 | 0.5967 | 0.3846 |
134
- | No log | 2.5846 | 168 | 0.3445 | 0.5869 | 0.3449 |
135
- | No log | 2.6154 | 170 | 0.3353 | 0.5852 | 0.3356 |
136
- | No log | 2.6462 | 172 | 0.3404 | 0.5878 | 0.3406 |
137
- | No log | 2.6769 | 174 | 0.3681 | 0.6138 | 0.3685 |
138
- | No log | 2.7077 | 176 | 0.3820 | 0.6242 | 0.3823 |
139
- | No log | 2.7385 | 178 | 0.3972 | 0.6174 | 0.3975 |
140
- | No log | 2.7692 | 180 | 0.4341 | 0.6236 | 0.4344 |
141
- | No log | 2.8 | 182 | 0.4234 | 0.6183 | 0.4236 |
142
- | No log | 2.8308 | 184 | 0.3620 | 0.5707 | 0.3620 |
143
- | No log | 2.8615 | 186 | 0.3408 | 0.5545 | 0.3407 |
144
- | No log | 2.8923 | 188 | 0.3409 | 0.5687 | 0.3409 |
145
- | No log | 2.9231 | 190 | 0.3771 | 0.6092 | 0.3774 |
146
- | No log | 2.9538 | 192 | 0.4265 | 0.6148 | 0.4270 |
147
- | No log | 2.9846 | 194 | 0.5029 | 0.6341 | 0.5037 |
148
- | No log | 3.0154 | 196 | 0.5219 | 0.6329 | 0.5228 |
149
- | No log | 3.0462 | 198 | 0.4672 | 0.6273 | 0.4679 |
150
- | No log | 3.0769 | 200 | 0.3820 | 0.5969 | 0.3824 |
151
- | No log | 3.1077 | 202 | 0.3346 | 0.5787 | 0.3348 |
152
- | No log | 3.1385 | 204 | 0.3312 | 0.5362 | 0.3314 |
153
- | No log | 3.1692 | 206 | 0.3428 | 0.5905 | 0.3431 |
154
- | No log | 3.2 | 208 | 0.3948 | 0.6045 | 0.3952 |
155
- | No log | 3.2308 | 210 | 0.4478 | 0.6225 | 0.4484 |
156
- | No log | 3.2615 | 212 | 0.4627 | 0.6341 | 0.4633 |
157
- | No log | 3.2923 | 214 | 0.4300 | 0.6175 | 0.4305 |
158
- | No log | 3.3231 | 216 | 0.4196 | 0.6165 | 0.4200 |
159
- | No log | 3.3538 | 218 | 0.3751 | 0.6078 | 0.3754 |
160
- | No log | 3.3846 | 220 | 0.3491 | 0.5621 | 0.3493 |
161
- | No log | 3.4154 | 222 | 0.3555 | 0.5862 | 0.3557 |
162
- | No log | 3.4462 | 224 | 0.3880 | 0.6087 | 0.3884 |
163
- | No log | 3.4769 | 226 | 0.4106 | 0.6068 | 0.4111 |
164
- | No log | 3.5077 | 228 | 0.3887 | 0.6017 | 0.3892 |
165
- | No log | 3.5385 | 230 | 0.3887 | 0.6088 | 0.3892 |
166
- | No log | 3.5692 | 232 | 0.4060 | 0.6068 | 0.4066 |
167
- | No log | 3.6 | 234 | 0.3832 | 0.5887 | 0.3837 |
168
- | No log | 3.6308 | 236 | 0.3676 | 0.5834 | 0.3680 |
169
- | No log | 3.6615 | 238 | 0.3707 | 0.5834 | 0.3712 |
170
- | No log | 3.6923 | 240 | 0.3969 | 0.6003 | 0.3975 |
171
- | No log | 3.7231 | 242 | 0.4033 | 0.5979 | 0.4039 |
172
- | No log | 3.7538 | 244 | 0.4247 | 0.6034 | 0.4253 |
173
- | No log | 3.7846 | 246 | 0.4402 | 0.6163 | 0.4409 |
174
- | No log | 3.8154 | 248 | 0.4600 | 0.6134 | 0.4607 |
175
- | No log | 3.8462 | 250 | 0.4376 | 0.6134 | 0.4381 |
176
- | No log | 3.8769 | 252 | 0.3981 | 0.5924 | 0.3986 |
177
- | No log | 3.9077 | 254 | 0.3856 | 0.5930 | 0.3860 |
178
- | No log | 3.9385 | 256 | 0.3939 | 0.5901 | 0.3943 |
179
- | No log | 3.9692 | 258 | 0.4075 | 0.6071 | 0.4079 |
180
- | No log | 4.0 | 260 | 0.4220 | 0.6117 | 0.4224 |
181
- | No log | 4.0308 | 262 | 0.4246 | 0.6093 | 0.4250 |
182
- | No log | 4.0615 | 264 | 0.4141 | 0.6066 | 0.4145 |
183
- | No log | 4.0923 | 266 | 0.4085 | 0.6066 | 0.4089 |
184
- | No log | 4.1231 | 268 | 0.4052 | 0.5968 | 0.4056 |
185
- | No log | 4.1538 | 270 | 0.3983 | 0.6053 | 0.3986 |
186
- | No log | 4.1846 | 272 | 0.3926 | 0.6049 | 0.3929 |
187
- | No log | 4.2154 | 274 | 0.3787 | 0.6050 | 0.3789 |
188
- | No log | 4.2462 | 276 | 0.3656 | 0.5978 | 0.3658 |
189
- | No log | 4.2769 | 278 | 0.3634 | 0.5952 | 0.3635 |
190
- | No log | 4.3077 | 280 | 0.3732 | 0.5974 | 0.3734 |
191
- | No log | 4.3385 | 282 | 0.3927 | 0.6026 | 0.3929 |
192
- | No log | 4.3692 | 284 | 0.4319 | 0.6022 | 0.4322 |
193
- | No log | 4.4 | 286 | 0.4581 | 0.6232 | 0.4584 |
194
- | No log | 4.4308 | 288 | 0.4591 | 0.6232 | 0.4595 |
195
- | No log | 4.4615 | 290 | 0.4364 | 0.6080 | 0.4367 |
196
- | No log | 4.4923 | 292 | 0.4195 | 0.6059 | 0.4197 |
197
- | No log | 4.5231 | 294 | 0.4019 | 0.6111 | 0.4021 |
198
- | No log | 4.5538 | 296 | 0.3806 | 0.6041 | 0.3808 |
199
- | No log | 4.5846 | 298 | 0.3693 | 0.5902 | 0.3695 |
200
- | No log | 4.6154 | 300 | 0.3679 | 0.5906 | 0.3680 |
201
- | No log | 4.6462 | 302 | 0.3754 | 0.5902 | 0.3756 |
202
- | No log | 4.6769 | 304 | 0.3890 | 0.6022 | 0.3892 |
203
- | No log | 4.7077 | 306 | 0.4096 | 0.6143 | 0.4099 |
204
- | No log | 4.7385 | 308 | 0.4282 | 0.6027 | 0.4285 |
205
- | No log | 4.7692 | 310 | 0.4411 | 0.6108 | 0.4415 |
206
- | No log | 4.8 | 312 | 0.4444 | 0.6131 | 0.4448 |
207
- | No log | 4.8308 | 314 | 0.4394 | 0.6108 | 0.4398 |
208
- | No log | 4.8615 | 316 | 0.4334 | 0.6050 | 0.4338 |
209
- | No log | 4.8923 | 318 | 0.4295 | 0.6101 | 0.4298 |
210
- | No log | 4.9231 | 320 | 0.4264 | 0.6101 | 0.4268 |
211
- | No log | 4.9538 | 322 | 0.4267 | 0.6101 | 0.4271 |
212
- | No log | 4.9846 | 324 | 0.4262 | 0.6124 | 0.4266 |
213
 
214
 
215
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_language_task3_fold0
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # bert_baseline_language_task3_fold0
15
 
16
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.3754
19
+ - Qwk: 0.6907
20
+ - Mse: 0.3751
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
+ | No log | 0.0308 | 2 | 1.2242 | 0.0 | 1.2224 |
52
+ | No log | 0.0615 | 4 | 0.9994 | 0.1070 | 0.9981 |
53
+ | No log | 0.0923 | 6 | 0.8925 | 0.0081 | 0.8916 |
54
+ | No log | 0.1231 | 8 | 0.7646 | 0.0081 | 0.7641 |
55
+ | No log | 0.1538 | 10 | 0.7245 | 0.0 | 0.7243 |
56
+ | No log | 0.1846 | 12 | 0.7079 | 0.0053 | 0.7078 |
57
+ | No log | 0.2154 | 14 | 0.6645 | 0.0131 | 0.6643 |
58
+ | No log | 0.2462 | 16 | 0.5944 | 0.0234 | 0.5942 |
59
+ | No log | 0.2769 | 18 | 0.5628 | 0.1223 | 0.5624 |
60
+ | No log | 0.3077 | 20 | 0.5125 | 0.1772 | 0.5121 |
61
+ | No log | 0.3385 | 22 | 0.4632 | 0.3805 | 0.4629 |
62
+ | No log | 0.3692 | 24 | 0.5232 | 0.5661 | 0.5231 |
63
+ | No log | 0.4 | 26 | 0.5584 | 0.5759 | 0.5583 |
64
+ | No log | 0.4308 | 28 | 0.4575 | 0.6357 | 0.4573 |
65
+ | No log | 0.4615 | 30 | 0.3987 | 0.4827 | 0.3982 |
66
+ | No log | 0.4923 | 32 | 0.4462 | 0.3869 | 0.4456 |
67
+ | No log | 0.5231 | 34 | 0.3838 | 0.5019 | 0.3835 |
68
+ | No log | 0.5538 | 36 | 0.4091 | 0.6159 | 0.4089 |
69
+ | No log | 0.5846 | 38 | 0.4442 | 0.6436 | 0.4440 |
70
+ | No log | 0.6154 | 40 | 0.4124 | 0.6214 | 0.4121 |
71
+ | No log | 0.6462 | 42 | 0.3823 | 0.5072 | 0.3820 |
72
+ | No log | 0.6769 | 44 | 0.3787 | 0.4706 | 0.3784 |
73
+ | No log | 0.7077 | 46 | 0.3722 | 0.5682 | 0.3719 |
74
+ | No log | 0.7385 | 48 | 0.3676 | 0.6364 | 0.3673 |
75
+ | No log | 0.7692 | 50 | 0.4047 | 0.6767 | 0.4045 |
76
+ | No log | 0.8 | 52 | 0.4091 | 0.6848 | 0.4089 |
77
+ | No log | 0.8308 | 54 | 0.3401 | 0.6635 | 0.3399 |
78
+ | No log | 0.8615 | 56 | 0.3391 | 0.6720 | 0.3389 |
79
+ | No log | 0.8923 | 58 | 0.3545 | 0.6704 | 0.3543 |
80
+ | No log | 0.9231 | 60 | 0.3525 | 0.6816 | 0.3522 |
81
+ | No log | 0.9538 | 62 | 0.3367 | 0.6683 | 0.3364 |
82
+ | No log | 0.9846 | 64 | 0.3287 | 0.6747 | 0.3284 |
83
+ | No log | 1.0154 | 66 | 0.3196 | 0.6693 | 0.3193 |
84
+ | No log | 1.0462 | 68 | 0.3390 | 0.6772 | 0.3386 |
85
+ | No log | 1.0769 | 70 | 0.3883 | 0.6838 | 0.3879 |
86
+ | No log | 1.1077 | 72 | 0.4160 | 0.6845 | 0.4157 |
87
+ | No log | 1.1385 | 74 | 0.3657 | 0.6780 | 0.3653 |
88
+ | No log | 1.1692 | 76 | 0.3606 | 0.6748 | 0.3602 |
89
+ | No log | 1.2 | 78 | 0.3383 | 0.6823 | 0.3379 |
90
+ | No log | 1.2308 | 80 | 0.3333 | 0.6679 | 0.3330 |
91
+ | No log | 1.2615 | 82 | 0.3474 | 0.6779 | 0.3472 |
92
+ | No log | 1.2923 | 84 | 0.3342 | 0.6699 | 0.3339 |
93
+ | No log | 1.3231 | 86 | 0.3209 | 0.6659 | 0.3206 |
94
+ | No log | 1.3538 | 88 | 0.3328 | 0.6880 | 0.3324 |
95
+ | No log | 1.3846 | 90 | 0.3587 | 0.6683 | 0.3583 |
96
+ | No log | 1.4154 | 92 | 0.3319 | 0.6775 | 0.3315 |
97
+ | No log | 1.4462 | 94 | 0.3085 | 0.6781 | 0.3081 |
98
+ | No log | 1.4769 | 96 | 0.3201 | 0.6794 | 0.3196 |
99
+ | No log | 1.5077 | 98 | 0.3097 | 0.6634 | 0.3093 |
100
+ | No log | 1.5385 | 100 | 0.3188 | 0.6803 | 0.3184 |
101
+ | No log | 1.5692 | 102 | 0.3422 | 0.6848 | 0.3417 |
102
+ | No log | 1.6 | 104 | 0.3741 | 0.6911 | 0.3737 |
103
+ | No log | 1.6308 | 106 | 0.3292 | 0.6852 | 0.3288 |
104
+ | No log | 1.6615 | 108 | 0.3160 | 0.6812 | 0.3156 |
105
+ | No log | 1.6923 | 110 | 0.3606 | 0.6927 | 0.3602 |
106
+ | No log | 1.7231 | 112 | 0.3580 | 0.6919 | 0.3577 |
107
+ | No log | 1.7538 | 114 | 0.3592 | 0.6905 | 0.3588 |
108
+ | No log | 1.7846 | 116 | 0.3768 | 0.7016 | 0.3764 |
109
+ | No log | 1.8154 | 118 | 0.3660 | 0.6905 | 0.3656 |
110
+ | No log | 1.8462 | 120 | 0.3259 | 0.6639 | 0.3255 |
111
+ | No log | 1.8769 | 122 | 0.3200 | 0.6024 | 0.3195 |
112
+ | No log | 1.9077 | 124 | 0.3308 | 0.6202 | 0.3304 |
113
+ | No log | 1.9385 | 126 | 0.3786 | 0.6774 | 0.3782 |
114
+ | No log | 1.9692 | 128 | 0.4478 | 0.6714 | 0.4475 |
115
+ | No log | 2.0 | 130 | 0.4483 | 0.6729 | 0.4480 |
116
+ | No log | 2.0308 | 132 | 0.3755 | 0.6796 | 0.3752 |
117
+ | No log | 2.0615 | 134 | 0.3187 | 0.6503 | 0.3184 |
118
+ | No log | 2.0923 | 136 | 0.3057 | 0.6315 | 0.3054 |
119
+ | No log | 2.1231 | 138 | 0.3050 | 0.6006 | 0.3047 |
120
+ | No log | 2.1538 | 140 | 0.2987 | 0.6469 | 0.2984 |
121
+ | No log | 2.1846 | 142 | 0.3535 | 0.6795 | 0.3532 |
122
+ | No log | 2.2154 | 144 | 0.4901 | 0.6855 | 0.4899 |
123
+ | No log | 2.2462 | 146 | 0.5180 | 0.6793 | 0.5178 |
124
+ | No log | 2.2769 | 148 | 0.4216 | 0.6863 | 0.4214 |
125
+ | No log | 2.3077 | 150 | 0.3125 | 0.6716 | 0.3122 |
126
+ | No log | 2.3385 | 152 | 0.3028 | 0.6320 | 0.3025 |
127
+ | No log | 2.3692 | 154 | 0.3038 | 0.6614 | 0.3035 |
128
+ | No log | 2.4 | 156 | 0.3478 | 0.6844 | 0.3476 |
129
+ | No log | 2.4308 | 158 | 0.4110 | 0.6824 | 0.4107 |
130
+ | No log | 2.4615 | 160 | 0.4052 | 0.6829 | 0.4050 |
131
+ | No log | 2.4923 | 162 | 0.3788 | 0.6831 | 0.3785 |
132
+ | No log | 2.5231 | 164 | 0.3302 | 0.6933 | 0.3299 |
133
+ | No log | 2.5538 | 166 | 0.3033 | 0.6664 | 0.3030 |
134
+ | No log | 2.5846 | 168 | 0.3146 | 0.6732 | 0.3143 |
135
+ | No log | 2.6154 | 170 | 0.3847 | 0.6901 | 0.3844 |
136
+ | No log | 2.6462 | 172 | 0.5298 | 0.7038 | 0.5295 |
137
+ | No log | 2.6769 | 174 | 0.5863 | 0.6870 | 0.5860 |
138
+ | No log | 2.7077 | 176 | 0.5109 | 0.7025 | 0.5106 |
139
+ | No log | 2.7385 | 178 | 0.3761 | 0.6916 | 0.3757 |
140
+ | No log | 2.7692 | 180 | 0.3138 | 0.6540 | 0.3135 |
141
+ | No log | 2.8 | 182 | 0.3097 | 0.6491 | 0.3093 |
142
+ | No log | 2.8308 | 184 | 0.3323 | 0.6756 | 0.3319 |
143
+ | No log | 2.8615 | 186 | 0.3514 | 0.6914 | 0.3510 |
144
+ | No log | 2.8923 | 188 | 0.3459 | 0.6780 | 0.3456 |
145
+ | No log | 2.9231 | 190 | 0.3481 | 0.6898 | 0.3478 |
146
+ | No log | 2.9538 | 192 | 0.3457 | 0.6902 | 0.3453 |
147
+ | No log | 2.9846 | 194 | 0.3362 | 0.6855 | 0.3359 |
148
+ | No log | 3.0154 | 196 | 0.3415 | 0.6766 | 0.3411 |
149
+ | No log | 3.0462 | 198 | 0.3545 | 0.6832 | 0.3542 |
150
+ | No log | 3.0769 | 200 | 0.3730 | 0.6756 | 0.3727 |
151
+ | No log | 3.1077 | 202 | 0.3424 | 0.6790 | 0.3421 |
152
+ | No log | 3.1385 | 204 | 0.3321 | 0.6623 | 0.3318 |
153
+ | No log | 3.1692 | 206 | 0.3539 | 0.6765 | 0.3536 |
154
+ | No log | 3.2 | 208 | 0.3660 | 0.6779 | 0.3657 |
155
+ | No log | 3.2308 | 210 | 0.3551 | 0.6668 | 0.3547 |
156
+ | No log | 3.2615 | 212 | 0.3455 | 0.6723 | 0.3452 |
157
+ | No log | 3.2923 | 214 | 0.3780 | 0.6753 | 0.3777 |
158
+ | No log | 3.3231 | 216 | 0.3938 | 0.6787 | 0.3935 |
159
+ | No log | 3.3538 | 218 | 0.4286 | 0.6828 | 0.4283 |
160
+ | No log | 3.3846 | 220 | 0.4587 | 0.7046 | 0.4585 |
161
+ | No log | 3.4154 | 222 | 0.4166 | 0.6859 | 0.4164 |
162
+ | No log | 3.4462 | 224 | 0.3735 | 0.6772 | 0.3732 |
163
+ | No log | 3.4769 | 226 | 0.3867 | 0.6964 | 0.3864 |
164
+ | No log | 3.5077 | 228 | 0.3875 | 0.6986 | 0.3872 |
165
+ | No log | 3.5385 | 230 | 0.4188 | 0.7029 | 0.4184 |
166
+ | No log | 3.5692 | 232 | 0.4099 | 0.7010 | 0.4095 |
167
+ | No log | 3.6 | 234 | 0.3635 | 0.6977 | 0.3632 |
168
+ | No log | 3.6308 | 236 | 0.3266 | 0.6611 | 0.3262 |
169
+ | No log | 3.6615 | 238 | 0.3292 | 0.6679 | 0.3289 |
170
+ | No log | 3.6923 | 240 | 0.3674 | 0.6886 | 0.3671 |
171
+ | No log | 3.7231 | 242 | 0.4326 | 0.7049 | 0.4323 |
172
+ | No log | 3.7538 | 244 | 0.4437 | 0.7103 | 0.4434 |
173
+ | No log | 3.7846 | 246 | 0.4098 | 0.6937 | 0.4095 |
174
+ | No log | 3.8154 | 248 | 0.3575 | 0.6741 | 0.3572 |
175
+ | No log | 3.8462 | 250 | 0.3383 | 0.6513 | 0.3380 |
176
+ | No log | 3.8769 | 252 | 0.3392 | 0.6597 | 0.3389 |
177
+ | No log | 3.9077 | 254 | 0.3602 | 0.6735 | 0.3599 |
178
+ | No log | 3.9385 | 256 | 0.3845 | 0.6878 | 0.3842 |
179
+ | No log | 3.9692 | 258 | 0.4114 | 0.6847 | 0.4111 |
180
+ | No log | 4.0 | 260 | 0.4175 | 0.6867 | 0.4172 |
181
+ | No log | 4.0308 | 262 | 0.4228 | 0.6914 | 0.4225 |
182
+ | No log | 4.0615 | 264 | 0.3927 | 0.6878 | 0.3924 |
183
+ | No log | 4.0923 | 266 | 0.3653 | 0.6754 | 0.3650 |
184
+ | No log | 4.1231 | 268 | 0.3506 | 0.6733 | 0.3502 |
185
+ | No log | 4.1538 | 270 | 0.3375 | 0.6655 | 0.3372 |
186
+ | No log | 4.1846 | 272 | 0.3434 | 0.6757 | 0.3431 |
187
+ | No log | 4.2154 | 274 | 0.3498 | 0.6776 | 0.3495 |
188
+ | No log | 4.2462 | 276 | 0.3708 | 0.6879 | 0.3705 |
189
+ | No log | 4.2769 | 278 | 0.3986 | 0.6930 | 0.3983 |
190
+ | No log | 4.3077 | 280 | 0.4160 | 0.7010 | 0.4156 |
191
+ | No log | 4.3385 | 282 | 0.4092 | 0.6916 | 0.4089 |
192
+ | No log | 4.3692 | 284 | 0.3913 | 0.6915 | 0.3910 |
193
+ | No log | 4.4 | 286 | 0.3804 | 0.6846 | 0.3801 |
194
+ | No log | 4.4308 | 288 | 0.3681 | 0.6801 | 0.3677 |
195
+ | No log | 4.4615 | 290 | 0.3650 | 0.6782 | 0.3647 |
196
+ | No log | 4.4923 | 292 | 0.3708 | 0.6789 | 0.3705 |
197
+ | No log | 4.5231 | 294 | 0.3927 | 0.6859 | 0.3923 |
198
+ | No log | 4.5538 | 296 | 0.4218 | 0.7032 | 0.4215 |
199
+ | No log | 4.5846 | 298 | 0.4256 | 0.7120 | 0.4253 |
200
+ | No log | 4.6154 | 300 | 0.4196 | 0.7025 | 0.4192 |
201
+ | No log | 4.6462 | 302 | 0.4135 | 0.7006 | 0.4131 |
202
+ | No log | 4.6769 | 304 | 0.4006 | 0.6976 | 0.4002 |
203
+ | No log | 4.7077 | 306 | 0.3885 | 0.7019 | 0.3881 |
204
+ | No log | 4.7385 | 308 | 0.3805 | 0.6907 | 0.3802 |
205
+ | No log | 4.7692 | 310 | 0.3689 | 0.6900 | 0.3686 |
206
+ | No log | 4.8 | 312 | 0.3638 | 0.6922 | 0.3635 |
207
+ | No log | 4.8308 | 314 | 0.3640 | 0.6940 | 0.3637 |
208
+ | No log | 4.8615 | 316 | 0.3680 | 0.6907 | 0.3676 |
209
+ | No log | 4.8923 | 318 | 0.3709 | 0.6888 | 0.3705 |
210
+ | No log | 4.9231 | 320 | 0.3737 | 0.6907 | 0.3733 |
211
+ | No log | 4.9538 | 322 | 0.3749 | 0.6907 | 0.3746 |
212
+ | No log | 4.9846 | 324 | 0.3754 | 0.6907 | 0.3751 |
213
 
214
 
215
  ### Framework versions
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