salbatarni commited on
Commit
27819cd
1 Parent(s): 0b65072

End of training

Browse files
Files changed (1) hide show
  1. README.md +177 -177
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_prompt_adherence_task5_fold4
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_prompt_adherence_task5_fold4
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: 0.4514
19
- - Qwk: 0.7238
20
- - Mse: 0.4520
21
 
22
  ## Model description
23
 
@@ -46,178 +46,178 @@ The following hyperparameters were used during training:
46
 
47
  ### Training results
48
 
49
- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
- | No log | 0.0294 | 2 | 2.2632 | 0.0 | 2.2645 |
52
- | No log | 0.0588 | 4 | 1.8737 | 0.0311 | 1.8748 |
53
- | No log | 0.0882 | 6 | 1.5213 | 0.0053 | 1.5222 |
54
- | No log | 0.1176 | 8 | 1.1250 | 0.0053 | 1.1258 |
55
- | No log | 0.1471 | 10 | 0.9630 | 0.0961 | 0.9638 |
56
- | No log | 0.1765 | 12 | 0.8851 | 0.3509 | 0.8855 |
57
- | No log | 0.2059 | 14 | 0.8607 | 0.3171 | 0.8610 |
58
- | No log | 0.2353 | 16 | 0.9310 | 0.2638 | 0.9312 |
59
- | No log | 0.2647 | 18 | 0.8365 | 0.3188 | 0.8368 |
60
- | No log | 0.2941 | 20 | 0.6803 | 0.3703 | 0.6810 |
61
- | No log | 0.3235 | 22 | 0.7056 | 0.3240 | 0.7062 |
62
- | No log | 0.3529 | 24 | 0.5967 | 0.4642 | 0.5971 |
63
- | No log | 0.3824 | 26 | 0.7076 | 0.5621 | 0.7077 |
64
- | No log | 0.4118 | 28 | 0.6812 | 0.5681 | 0.6813 |
65
- | No log | 0.4412 | 30 | 0.6054 | 0.5437 | 0.6055 |
66
- | No log | 0.4706 | 32 | 0.5816 | 0.4983 | 0.5818 |
67
- | No log | 0.5 | 34 | 0.6368 | 0.5175 | 0.6369 |
68
- | No log | 0.5294 | 36 | 0.6274 | 0.5033 | 0.6275 |
69
- | No log | 0.5588 | 38 | 0.6089 | 0.4906 | 0.6090 |
70
- | No log | 0.5882 | 40 | 0.6061 | 0.4948 | 0.6061 |
71
- | No log | 0.6176 | 42 | 0.5572 | 0.5140 | 0.5571 |
72
- | No log | 0.6471 | 44 | 0.5052 | 0.5661 | 0.5052 |
73
- | No log | 0.6765 | 46 | 0.5490 | 0.4825 | 0.5491 |
74
- | No log | 0.7059 | 48 | 0.5075 | 0.4988 | 0.5076 |
75
- | No log | 0.7353 | 50 | 0.5424 | 0.6827 | 0.5421 |
76
- | No log | 0.7647 | 52 | 0.6059 | 0.6859 | 0.6055 |
77
- | No log | 0.7941 | 54 | 0.5719 | 0.6787 | 0.5715 |
78
- | No log | 0.8235 | 56 | 0.5328 | 0.6636 | 0.5325 |
79
- | No log | 0.8529 | 58 | 0.4743 | 0.5609 | 0.4742 |
80
- | No log | 0.8824 | 60 | 0.5113 | 0.4750 | 0.5113 |
81
- | No log | 0.9118 | 62 | 0.5160 | 0.4777 | 0.5160 |
82
- | No log | 0.9412 | 64 | 0.4625 | 0.5749 | 0.4624 |
83
- | No log | 0.9706 | 66 | 0.5494 | 0.6552 | 0.5491 |
84
- | No log | 1.0 | 68 | 0.5967 | 0.6817 | 0.5963 |
85
- | No log | 1.0294 | 70 | 0.5172 | 0.6636 | 0.5168 |
86
- | No log | 1.0588 | 72 | 0.5104 | 0.6776 | 0.5100 |
87
- | No log | 1.0882 | 74 | 0.5221 | 0.7059 | 0.5217 |
88
- | No log | 1.1176 | 76 | 0.4768 | 0.6805 | 0.4764 |
89
- | No log | 1.1471 | 78 | 0.4669 | 0.6749 | 0.4665 |
90
- | No log | 1.1765 | 80 | 0.4885 | 0.7100 | 0.4882 |
91
- | No log | 1.2059 | 82 | 0.6312 | 0.7172 | 0.6307 |
92
- | No log | 1.2353 | 84 | 0.6556 | 0.7054 | 0.6552 |
93
- | No log | 1.2647 | 86 | 0.5130 | 0.7060 | 0.5128 |
94
- | No log | 1.2941 | 88 | 0.4398 | 0.6048 | 0.4398 |
95
- | No log | 1.3235 | 90 | 0.4840 | 0.5213 | 0.4842 |
96
- | No log | 1.3529 | 92 | 0.4776 | 0.5303 | 0.4779 |
97
- | No log | 1.3824 | 94 | 0.4577 | 0.5735 | 0.4579 |
98
- | No log | 1.4118 | 96 | 0.4905 | 0.6288 | 0.4907 |
99
- | No log | 1.4412 | 98 | 0.5674 | 0.6816 | 0.5675 |
100
- | No log | 1.4706 | 100 | 0.6072 | 0.7033 | 0.6073 |
101
- | No log | 1.5 | 102 | 0.5240 | 0.6830 | 0.5240 |
102
- | No log | 1.5294 | 104 | 0.4524 | 0.6542 | 0.4524 |
103
- | No log | 1.5588 | 106 | 0.4339 | 0.6153 | 0.4340 |
104
- | No log | 1.5882 | 108 | 0.4347 | 0.6609 | 0.4347 |
105
- | No log | 1.6176 | 110 | 0.4493 | 0.6831 | 0.4491 |
106
- | No log | 1.6471 | 112 | 0.4591 | 0.6726 | 0.4589 |
107
- | No log | 1.6765 | 114 | 0.4605 | 0.6545 | 0.4603 |
108
- | No log | 1.7059 | 116 | 0.4746 | 0.6899 | 0.4744 |
109
- | No log | 1.7353 | 118 | 0.5271 | 0.7242 | 0.5268 |
110
- | No log | 1.7647 | 120 | 0.5292 | 0.7201 | 0.5290 |
111
- | No log | 1.7941 | 122 | 0.5046 | 0.7119 | 0.5044 |
112
- | No log | 1.8235 | 124 | 0.4503 | 0.6675 | 0.4502 |
113
- | No log | 1.8529 | 126 | 0.4430 | 0.6378 | 0.4429 |
114
- | No log | 1.8824 | 128 | 0.4433 | 0.6610 | 0.4432 |
115
- | No log | 1.9118 | 130 | 0.4850 | 0.6848 | 0.4849 |
116
- | No log | 1.9412 | 132 | 0.5058 | 0.6657 | 0.5058 |
117
- | No log | 1.9706 | 134 | 0.4656 | 0.6590 | 0.4657 |
118
- | No log | 2.0 | 136 | 0.4422 | 0.6264 | 0.4422 |
119
- | No log | 2.0294 | 138 | 0.4303 | 0.6182 | 0.4304 |
120
- | No log | 2.0588 | 140 | 0.4402 | 0.6549 | 0.4403 |
121
- | No log | 2.0882 | 142 | 0.4844 | 0.6887 | 0.4844 |
122
- | No log | 2.1176 | 144 | 0.4897 | 0.7060 | 0.4896 |
123
- | No log | 2.1471 | 146 | 0.4282 | 0.6882 | 0.4282 |
124
- | No log | 2.1765 | 148 | 0.4225 | 0.5967 | 0.4224 |
125
- | No log | 2.2059 | 150 | 0.4645 | 0.5450 | 0.4644 |
126
- | No log | 2.2353 | 152 | 0.4303 | 0.5751 | 0.4302 |
127
- | No log | 2.2647 | 154 | 0.4089 | 0.6906 | 0.4089 |
128
- | No log | 2.2941 | 156 | 0.5125 | 0.7213 | 0.5124 |
129
- | No log | 2.3235 | 158 | 0.5649 | 0.7220 | 0.5647 |
130
- | No log | 2.3529 | 160 | 0.5742 | 0.7254 | 0.5740 |
131
- | No log | 2.3824 | 162 | 0.5027 | 0.7263 | 0.5026 |
132
- | No log | 2.4118 | 164 | 0.4443 | 0.6808 | 0.4443 |
133
- | No log | 2.4412 | 166 | 0.4310 | 0.6198 | 0.4311 |
134
- | No log | 2.4706 | 168 | 0.4381 | 0.5866 | 0.4382 |
135
- | No log | 2.5 | 170 | 0.4395 | 0.5897 | 0.4396 |
136
- | No log | 2.5294 | 172 | 0.4333 | 0.5881 | 0.4335 |
137
- | No log | 2.5588 | 174 | 0.4318 | 0.6280 | 0.4320 |
138
- | No log | 2.5882 | 176 | 0.4755 | 0.6856 | 0.4758 |
139
- | No log | 2.6176 | 178 | 0.5151 | 0.7121 | 0.5154 |
140
- | No log | 2.6471 | 180 | 0.5085 | 0.7069 | 0.5088 |
141
- | No log | 2.6765 | 182 | 0.4746 | 0.7004 | 0.4750 |
142
- | No log | 2.7059 | 184 | 0.4350 | 0.6794 | 0.4353 |
143
- | No log | 2.7353 | 186 | 0.4238 | 0.6654 | 0.4240 |
144
- | No log | 2.7647 | 188 | 0.4218 | 0.6670 | 0.4220 |
145
- | No log | 2.7941 | 190 | 0.4249 | 0.6354 | 0.4251 |
146
- | No log | 2.8235 | 192 | 0.4186 | 0.6660 | 0.4189 |
147
- | No log | 2.8529 | 194 | 0.4409 | 0.7159 | 0.4412 |
148
- | No log | 2.8824 | 196 | 0.5106 | 0.7351 | 0.5109 |
149
- | No log | 2.9118 | 198 | 0.6363 | 0.7094 | 0.6366 |
150
- | No log | 2.9412 | 200 | 0.6510 | 0.7117 | 0.6512 |
151
- | No log | 2.9706 | 202 | 0.5786 | 0.7271 | 0.5789 |
152
- | No log | 3.0 | 204 | 0.5040 | 0.7247 | 0.5042 |
153
- | No log | 3.0294 | 206 | 0.4341 | 0.7067 | 0.4343 |
154
- | No log | 3.0588 | 208 | 0.4172 | 0.6805 | 0.4174 |
155
- | No log | 3.0882 | 210 | 0.4197 | 0.6599 | 0.4200 |
156
- | No log | 3.1176 | 212 | 0.4338 | 0.6765 | 0.4341 |
157
- | No log | 3.1471 | 214 | 0.4612 | 0.6822 | 0.4615 |
158
- | No log | 3.1765 | 216 | 0.4643 | 0.6979 | 0.4646 |
159
- | No log | 3.2059 | 218 | 0.4665 | 0.7120 | 0.4668 |
160
- | No log | 3.2353 | 220 | 0.4568 | 0.7056 | 0.4572 |
161
- | No log | 3.2647 | 222 | 0.4310 | 0.7028 | 0.4314 |
162
- | No log | 3.2941 | 224 | 0.4167 | 0.7020 | 0.4171 |
163
- | No log | 3.3235 | 226 | 0.4082 | 0.6888 | 0.4086 |
164
- | No log | 3.3529 | 228 | 0.4132 | 0.7026 | 0.4136 |
165
- | No log | 3.3824 | 230 | 0.4223 | 0.6991 | 0.4227 |
166
- | No log | 3.4118 | 232 | 0.4429 | 0.7145 | 0.4434 |
167
- | No log | 3.4412 | 234 | 0.4741 | 0.7216 | 0.4746 |
168
- | No log | 3.4706 | 236 | 0.4679 | 0.7194 | 0.4685 |
169
- | No log | 3.5 | 238 | 0.4368 | 0.7083 | 0.4374 |
170
- | No log | 3.5294 | 240 | 0.4200 | 0.6782 | 0.4206 |
171
- | No log | 3.5588 | 242 | 0.4121 | 0.6400 | 0.4127 |
172
- | No log | 3.5882 | 244 | 0.4150 | 0.6397 | 0.4156 |
173
- | No log | 3.6176 | 246 | 0.4316 | 0.6856 | 0.4323 |
174
- | No log | 3.6471 | 248 | 0.4866 | 0.7113 | 0.4872 |
175
- | No log | 3.6765 | 250 | 0.5449 | 0.7200 | 0.5456 |
176
- | No log | 3.7059 | 252 | 0.5358 | 0.7245 | 0.5364 |
177
- | No log | 3.7353 | 254 | 0.4901 | 0.7335 | 0.4907 |
178
- | No log | 3.7647 | 256 | 0.4360 | 0.7213 | 0.4365 |
179
- | No log | 3.7941 | 258 | 0.4002 | 0.6720 | 0.4007 |
180
- | No log | 3.8235 | 260 | 0.4042 | 0.6152 | 0.4047 |
181
- | No log | 3.8529 | 262 | 0.4137 | 0.5922 | 0.4141 |
182
- | No log | 3.8824 | 264 | 0.4040 | 0.6193 | 0.4044 |
183
- | No log | 3.9118 | 266 | 0.3979 | 0.6628 | 0.3984 |
184
- | No log | 3.9412 | 268 | 0.4272 | 0.7077 | 0.4276 |
185
- | No log | 3.9706 | 270 | 0.5074 | 0.7420 | 0.5079 |
186
- | No log | 4.0 | 272 | 0.5778 | 0.7222 | 0.5783 |
187
- | No log | 4.0294 | 274 | 0.5930 | 0.7168 | 0.5935 |
188
- | No log | 4.0588 | 276 | 0.5601 | 0.7166 | 0.5606 |
189
- | No log | 4.0882 | 278 | 0.5035 | 0.7219 | 0.5040 |
190
- | No log | 4.1176 | 280 | 0.4441 | 0.6970 | 0.4446 |
191
- | No log | 4.1471 | 282 | 0.4087 | 0.6766 | 0.4091 |
192
- | No log | 4.1765 | 284 | 0.4023 | 0.6643 | 0.4027 |
193
- | No log | 4.2059 | 286 | 0.4047 | 0.6254 | 0.4051 |
194
- | No log | 4.2353 | 288 | 0.4049 | 0.6221 | 0.4053 |
195
- | No log | 4.2647 | 290 | 0.4032 | 0.6228 | 0.4036 |
196
- | No log | 4.2941 | 292 | 0.4005 | 0.6475 | 0.4009 |
197
- | No log | 4.3235 | 294 | 0.4041 | 0.6730 | 0.4046 |
198
- | No log | 4.3529 | 296 | 0.4233 | 0.7061 | 0.4237 |
199
- | No log | 4.3824 | 298 | 0.4559 | 0.7175 | 0.4565 |
200
- | No log | 4.4118 | 300 | 0.4891 | 0.7122 | 0.4896 |
201
- | No log | 4.4412 | 302 | 0.5052 | 0.7061 | 0.5058 |
202
- | No log | 4.4706 | 304 | 0.5053 | 0.7081 | 0.5059 |
203
- | No log | 4.5 | 306 | 0.4921 | 0.7092 | 0.4927 |
204
- | No log | 4.5294 | 308 | 0.4751 | 0.7161 | 0.4757 |
205
- | No log | 4.5588 | 310 | 0.4547 | 0.7129 | 0.4553 |
206
- | No log | 4.5882 | 312 | 0.4430 | 0.7165 | 0.4436 |
207
- | No log | 4.6176 | 314 | 0.4314 | 0.7074 | 0.4320 |
208
- | No log | 4.6471 | 316 | 0.4262 | 0.7070 | 0.4267 |
209
- | No log | 4.6765 | 318 | 0.4229 | 0.7030 | 0.4235 |
210
- | No log | 4.7059 | 320 | 0.4266 | 0.7135 | 0.4272 |
211
- | No log | 4.7353 | 322 | 0.4292 | 0.7128 | 0.4297 |
212
- | No log | 4.7647 | 324 | 0.4355 | 0.7159 | 0.4361 |
213
- | No log | 4.7941 | 326 | 0.4437 | 0.7201 | 0.4443 |
214
- | No log | 4.8235 | 328 | 0.4463 | 0.7240 | 0.4468 |
215
- | No log | 4.8529 | 330 | 0.4490 | 0.7230 | 0.4495 |
216
- | No log | 4.8824 | 332 | 0.4485 | 0.7240 | 0.4490 |
217
- | No log | 4.9118 | 334 | 0.4496 | 0.7230 | 0.4502 |
218
- | No log | 4.9412 | 336 | 0.4516 | 0.7201 | 0.4521 |
219
- | No log | 4.9706 | 338 | 0.4518 | 0.7220 | 0.4524 |
220
- | No log | 5.0 | 340 | 0.4514 | 0.7238 | 0.4520 |
221
 
222
 
223
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_prompt_adherence_task6_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_prompt_adherence_task6_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: 0.3408
19
+ - Qwk: 0.7659
20
+ - Mse: 0.3408
21
 
22
  ## Model description
23
 
 
46
 
47
  ### Training results
48
 
49
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
51
+ | No log | 0.0294 | 2 | 1.7230 | 0.0 | 1.7230 |
52
+ | No log | 0.0588 | 4 | 1.5160 | -0.0298 | 1.5160 |
53
+ | No log | 0.0882 | 6 | 1.3669 | 0.0061 | 1.3669 |
54
+ | No log | 0.1176 | 8 | 1.1404 | 0.0 | 1.1404 |
55
+ | No log | 0.1471 | 10 | 1.0323 | 0.0 | 1.0323 |
56
+ | No log | 0.1765 | 12 | 0.9762 | 0.0 | 0.9762 |
57
+ | No log | 0.2059 | 14 | 0.9758 | 0.1733 | 0.9758 |
58
+ | No log | 0.2353 | 16 | 0.9387 | 0.0166 | 0.9387 |
59
+ | No log | 0.2647 | 18 | 0.9009 | 0.2594 | 0.9009 |
60
+ | No log | 0.2941 | 20 | 0.8463 | 0.3818 | 0.8463 |
61
+ | No log | 0.3235 | 22 | 0.8233 | 0.4516 | 0.8233 |
62
+ | No log | 0.3529 | 24 | 0.7858 | 0.4806 | 0.7858 |
63
+ | No log | 0.3824 | 26 | 0.7188 | 0.3987 | 0.7188 |
64
+ | No log | 0.4118 | 28 | 0.6879 | 0.3765 | 0.6879 |
65
+ | No log | 0.4412 | 30 | 0.6578 | 0.3972 | 0.6578 |
66
+ | No log | 0.4706 | 32 | 0.6462 | 0.4477 | 0.6462 |
67
+ | No log | 0.5 | 34 | 0.5938 | 0.4814 | 0.5938 |
68
+ | No log | 0.5294 | 36 | 0.5318 | 0.5157 | 0.5318 |
69
+ | No log | 0.5588 | 38 | 0.5086 | 0.5385 | 0.5086 |
70
+ | No log | 0.5882 | 40 | 0.4870 | 0.6095 | 0.4870 |
71
+ | No log | 0.6176 | 42 | 0.4613 | 0.6348 | 0.4613 |
72
+ | No log | 0.6471 | 44 | 0.4423 | 0.6528 | 0.4423 |
73
+ | No log | 0.6765 | 46 | 0.4547 | 0.6722 | 0.4547 |
74
+ | No log | 0.7059 | 48 | 0.4230 | 0.6590 | 0.4230 |
75
+ | No log | 0.7353 | 50 | 0.4205 | 0.6612 | 0.4205 |
76
+ | No log | 0.7647 | 52 | 0.5052 | 0.7302 | 0.5052 |
77
+ | No log | 0.7941 | 54 | 0.5938 | 0.7403 | 0.5938 |
78
+ | No log | 0.8235 | 56 | 0.4840 | 0.7157 | 0.4840 |
79
+ | No log | 0.8529 | 58 | 0.4066 | 0.6299 | 0.4066 |
80
+ | No log | 0.8824 | 60 | 0.4288 | 0.5651 | 0.4288 |
81
+ | No log | 0.9118 | 62 | 0.3949 | 0.6432 | 0.3949 |
82
+ | No log | 0.9412 | 64 | 0.4369 | 0.7203 | 0.4369 |
83
+ | No log | 0.9706 | 66 | 0.4221 | 0.7175 | 0.4221 |
84
+ | No log | 1.0 | 68 | 0.4578 | 0.7279 | 0.4578 |
85
+ | No log | 1.0294 | 70 | 0.4266 | 0.7291 | 0.4266 |
86
+ | No log | 1.0588 | 72 | 0.3656 | 0.6786 | 0.3656 |
87
+ | No log | 1.0882 | 74 | 0.3645 | 0.6324 | 0.3645 |
88
+ | No log | 1.1176 | 76 | 0.3569 | 0.6755 | 0.3569 |
89
+ | No log | 1.1471 | 78 | 0.4082 | 0.7169 | 0.4082 |
90
+ | No log | 1.1765 | 80 | 0.4446 | 0.7191 | 0.4446 |
91
+ | No log | 1.2059 | 82 | 0.3720 | 0.7161 | 0.3720 |
92
+ | No log | 1.2353 | 84 | 0.3680 | 0.6119 | 0.3680 |
93
+ | No log | 1.2647 | 86 | 0.3784 | 0.6041 | 0.3784 |
94
+ | No log | 1.2941 | 88 | 0.3433 | 0.6820 | 0.3433 |
95
+ | No log | 1.3235 | 90 | 0.3680 | 0.7177 | 0.3680 |
96
+ | No log | 1.3529 | 92 | 0.3769 | 0.7232 | 0.3769 |
97
+ | No log | 1.3824 | 94 | 0.3527 | 0.7082 | 0.3527 |
98
+ | No log | 1.4118 | 96 | 0.3442 | 0.6673 | 0.3442 |
99
+ | No log | 1.4412 | 98 | 0.3422 | 0.6618 | 0.3422 |
100
+ | No log | 1.4706 | 100 | 0.3388 | 0.6909 | 0.3388 |
101
+ | No log | 1.5 | 102 | 0.3835 | 0.7163 | 0.3835 |
102
+ | No log | 1.5294 | 104 | 0.3977 | 0.7205 | 0.3977 |
103
+ | No log | 1.5588 | 106 | 0.3601 | 0.7102 | 0.3601 |
104
+ | No log | 1.5882 | 108 | 0.3383 | 0.6769 | 0.3383 |
105
+ | No log | 1.6176 | 110 | 0.3430 | 0.6506 | 0.3430 |
106
+ | No log | 1.6471 | 112 | 0.3397 | 0.7243 | 0.3397 |
107
+ | No log | 1.6765 | 114 | 0.3835 | 0.7538 | 0.3835 |
108
+ | No log | 1.7059 | 116 | 0.3606 | 0.7389 | 0.3606 |
109
+ | No log | 1.7353 | 118 | 0.3273 | 0.7156 | 0.3273 |
110
+ | No log | 1.7647 | 120 | 0.3244 | 0.7004 | 0.3244 |
111
+ | No log | 1.7941 | 122 | 0.3539 | 0.7388 | 0.3539 |
112
+ | No log | 1.8235 | 124 | 0.3867 | 0.7379 | 0.3867 |
113
+ | No log | 1.8529 | 126 | 0.4474 | 0.7465 | 0.4474 |
114
+ | No log | 1.8824 | 128 | 0.3972 | 0.7249 | 0.3972 |
115
+ | No log | 1.9118 | 130 | 0.3303 | 0.6991 | 0.3303 |
116
+ | No log | 1.9412 | 132 | 0.3315 | 0.6577 | 0.3315 |
117
+ | No log | 1.9706 | 134 | 0.3429 | 0.6354 | 0.3429 |
118
+ | No log | 2.0 | 136 | 0.3201 | 0.6801 | 0.3201 |
119
+ | No log | 2.0294 | 138 | 0.3170 | 0.6849 | 0.3170 |
120
+ | No log | 2.0588 | 140 | 0.3195 | 0.7111 | 0.3195 |
121
+ | No log | 2.0882 | 142 | 0.3411 | 0.7223 | 0.3411 |
122
+ | No log | 2.1176 | 144 | 0.3576 | 0.7397 | 0.3576 |
123
+ | No log | 2.1471 | 146 | 0.3323 | 0.7351 | 0.3323 |
124
+ | No log | 2.1765 | 148 | 0.3230 | 0.7066 | 0.3230 |
125
+ | No log | 2.2059 | 150 | 0.3279 | 0.7208 | 0.3279 |
126
+ | No log | 2.2353 | 152 | 0.3530 | 0.7482 | 0.3530 |
127
+ | No log | 2.2647 | 154 | 0.3378 | 0.7338 | 0.3378 |
128
+ | No log | 2.2941 | 156 | 0.3316 | 0.7195 | 0.3316 |
129
+ | No log | 2.3235 | 158 | 0.3484 | 0.7404 | 0.3484 |
130
+ | No log | 2.3529 | 160 | 0.3644 | 0.7467 | 0.3644 |
131
+ | No log | 2.3824 | 162 | 0.4398 | 0.7866 | 0.4398 |
132
+ | No log | 2.4118 | 164 | 0.4367 | 0.7900 | 0.4367 |
133
+ | No log | 2.4412 | 166 | 0.3632 | 0.7505 | 0.3632 |
134
+ | No log | 2.4706 | 168 | 0.3385 | 0.7176 | 0.3385 |
135
+ | No log | 2.5 | 170 | 0.3315 | 0.6822 | 0.3315 |
136
+ | No log | 2.5294 | 172 | 0.3273 | 0.7185 | 0.3273 |
137
+ | No log | 2.5588 | 174 | 0.3263 | 0.7198 | 0.3263 |
138
+ | No log | 2.5882 | 176 | 0.3281 | 0.7176 | 0.3281 |
139
+ | No log | 2.6176 | 178 | 0.3367 | 0.7365 | 0.3367 |
140
+ | No log | 2.6471 | 180 | 0.3782 | 0.7603 | 0.3782 |
141
+ | No log | 2.6765 | 182 | 0.4553 | 0.8084 | 0.4553 |
142
+ | No log | 2.7059 | 184 | 0.5177 | 0.8164 | 0.5177 |
143
+ | No log | 2.7353 | 186 | 0.5430 | 0.8180 | 0.5430 |
144
+ | No log | 2.7647 | 188 | 0.4529 | 0.8066 | 0.4529 |
145
+ | No log | 2.7941 | 190 | 0.3539 | 0.7570 | 0.3539 |
146
+ | No log | 2.8235 | 192 | 0.3317 | 0.7354 | 0.3317 |
147
+ | No log | 2.8529 | 194 | 0.3250 | 0.7282 | 0.3250 |
148
+ | No log | 2.8824 | 196 | 0.3240 | 0.7233 | 0.3240 |
149
+ | No log | 2.9118 | 198 | 0.3254 | 0.7398 | 0.3254 |
150
+ | No log | 2.9412 | 200 | 0.3509 | 0.7595 | 0.3509 |
151
+ | No log | 2.9706 | 202 | 0.4183 | 0.7752 | 0.4183 |
152
+ | No log | 3.0 | 204 | 0.4581 | 0.7846 | 0.4581 |
153
+ | No log | 3.0294 | 206 | 0.4129 | 0.7784 | 0.4129 |
154
+ | No log | 3.0588 | 208 | 0.3410 | 0.7547 | 0.3410 |
155
+ | No log | 3.0882 | 210 | 0.3151 | 0.7327 | 0.3151 |
156
+ | No log | 3.1176 | 212 | 0.3104 | 0.6909 | 0.3104 |
157
+ | No log | 3.1471 | 214 | 0.3115 | 0.6779 | 0.3115 |
158
+ | No log | 3.1765 | 216 | 0.3051 | 0.7104 | 0.3051 |
159
+ | No log | 3.2059 | 218 | 0.3233 | 0.7460 | 0.3233 |
160
+ | No log | 3.2353 | 220 | 0.3524 | 0.7723 | 0.3524 |
161
+ | No log | 3.2647 | 222 | 0.3622 | 0.7805 | 0.3622 |
162
+ | No log | 3.2941 | 224 | 0.3447 | 0.7745 | 0.3447 |
163
+ | No log | 3.3235 | 226 | 0.3255 | 0.7496 | 0.3255 |
164
+ | No log | 3.3529 | 228 | 0.3192 | 0.7577 | 0.3192 |
165
+ | No log | 3.3824 | 230 | 0.3226 | 0.7596 | 0.3226 |
166
+ | No log | 3.4118 | 232 | 0.3374 | 0.7780 | 0.3374 |
167
+ | No log | 3.4412 | 234 | 0.3338 | 0.7709 | 0.3338 |
168
+ | No log | 3.4706 | 236 | 0.3200 | 0.7475 | 0.3200 |
169
+ | No log | 3.5 | 238 | 0.3149 | 0.7410 | 0.3149 |
170
+ | No log | 3.5294 | 240 | 0.3218 | 0.7519 | 0.3218 |
171
+ | No log | 3.5588 | 242 | 0.3419 | 0.7623 | 0.3419 |
172
+ | No log | 3.5882 | 244 | 0.3489 | 0.7607 | 0.3489 |
173
+ | No log | 3.6176 | 246 | 0.3240 | 0.7445 | 0.3240 |
174
+ | No log | 3.6471 | 248 | 0.3140 | 0.7135 | 0.3140 |
175
+ | No log | 3.6765 | 250 | 0.3158 | 0.7066 | 0.3158 |
176
+ | No log | 3.7059 | 252 | 0.3164 | 0.7244 | 0.3164 |
177
+ | No log | 3.7353 | 254 | 0.3378 | 0.7483 | 0.3378 |
178
+ | No log | 3.7647 | 256 | 0.3923 | 0.7762 | 0.3923 |
179
+ | No log | 3.7941 | 258 | 0.4374 | 0.7989 | 0.4374 |
180
+ | No log | 3.8235 | 260 | 0.4200 | 0.7913 | 0.4200 |
181
+ | No log | 3.8529 | 262 | 0.3738 | 0.7725 | 0.3738 |
182
+ | No log | 3.8824 | 264 | 0.3377 | 0.7451 | 0.3377 |
183
+ | No log | 3.9118 | 266 | 0.3297 | 0.7298 | 0.3297 |
184
+ | No log | 3.9412 | 268 | 0.3285 | 0.7305 | 0.3285 |
185
+ | No log | 3.9706 | 270 | 0.3401 | 0.7572 | 0.3401 |
186
+ | No log | 4.0 | 272 | 0.3458 | 0.7596 | 0.3458 |
187
+ | No log | 4.0294 | 274 | 0.3553 | 0.7676 | 0.3553 |
188
+ | No log | 4.0588 | 276 | 0.3686 | 0.7745 | 0.3686 |
189
+ | No log | 4.0882 | 278 | 0.3686 | 0.7771 | 0.3686 |
190
+ | No log | 4.1176 | 280 | 0.3506 | 0.7653 | 0.3506 |
191
+ | No log | 4.1471 | 282 | 0.3270 | 0.7495 | 0.3270 |
192
+ | No log | 4.1765 | 284 | 0.3184 | 0.7449 | 0.3184 |
193
+ | No log | 4.2059 | 286 | 0.3159 | 0.7353 | 0.3159 |
194
+ | No log | 4.2353 | 288 | 0.3167 | 0.7420 | 0.3167 |
195
+ | No log | 4.2647 | 290 | 0.3233 | 0.7509 | 0.3233 |
196
+ | No log | 4.2941 | 292 | 0.3287 | 0.7537 | 0.3287 |
197
+ | No log | 4.3235 | 294 | 0.3270 | 0.7514 | 0.3270 |
198
+ | No log | 4.3529 | 296 | 0.3336 | 0.7614 | 0.3336 |
199
+ | No log | 4.3824 | 298 | 0.3373 | 0.7678 | 0.3373 |
200
+ | No log | 4.4118 | 300 | 0.3408 | 0.7696 | 0.3408 |
201
+ | No log | 4.4412 | 302 | 0.3437 | 0.7700 | 0.3437 |
202
+ | No log | 4.4706 | 304 | 0.3419 | 0.7690 | 0.3419 |
203
+ | No log | 4.5 | 306 | 0.3331 | 0.7613 | 0.3331 |
204
+ | No log | 4.5294 | 308 | 0.3263 | 0.7521 | 0.3263 |
205
+ | No log | 4.5588 | 310 | 0.3255 | 0.7521 | 0.3255 |
206
+ | No log | 4.5882 | 312 | 0.3313 | 0.7609 | 0.3313 |
207
+ | No log | 4.6176 | 314 | 0.3381 | 0.7649 | 0.3381 |
208
+ | No log | 4.6471 | 316 | 0.3490 | 0.7712 | 0.3490 |
209
+ | No log | 4.6765 | 318 | 0.3575 | 0.7693 | 0.3575 |
210
+ | No log | 4.7059 | 320 | 0.3687 | 0.7772 | 0.3687 |
211
+ | No log | 4.7353 | 322 | 0.3700 | 0.7772 | 0.3700 |
212
+ | No log | 4.7647 | 324 | 0.3710 | 0.7772 | 0.3710 |
213
+ | No log | 4.7941 | 326 | 0.3694 | 0.7793 | 0.3694 |
214
+ | No log | 4.8235 | 328 | 0.3657 | 0.7793 | 0.3657 |
215
+ | No log | 4.8529 | 330 | 0.3613 | 0.7781 | 0.3613 |
216
+ | No log | 4.8824 | 332 | 0.3558 | 0.7740 | 0.3558 |
217
+ | No log | 4.9118 | 334 | 0.3499 | 0.7740 | 0.3499 |
218
+ | No log | 4.9412 | 336 | 0.3447 | 0.7641 | 0.3447 |
219
+ | No log | 4.9706 | 338 | 0.3419 | 0.7610 | 0.3419 |
220
+ | No log | 5.0 | 340 | 0.3408 | 0.7659 | 0.3408 |
221
 
222
 
223
  ### Framework versions