Hugging Face's logo

salbatarni
/
bert_baseline_prompt_adherence_task4_fold1

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
706202a
•
1 Parent(s): d95daa6

End of training

Browse files
Files changed (1) hide show
  1. README.md +172 -172
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_task4_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_task4_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: 0.3003
19
- - Qwk: 0.7143
20
- - Mse: 0.3003
21
 
22
  ## Model description
23
 
@@ -48,173 +48,173 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
- | No log | 0.0299 | 2 | 0.7952 | 0.0 | 0.7952 |
52
- | No log | 0.0597 | 4 | 0.7435 | 0.3575 | 0.7435 |
53
- | No log | 0.0896 | 6 | 0.7053 | 0.3949 | 0.7053 |
54
- | No log | 0.1194 | 8 | 0.6544 | 0.4134 | 0.6544 |
55
- | No log | 0.1493 | 10 | 0.5985 | 0.3962 | 0.5985 |
56
- | No log | 0.1791 | 12 | 0.5456 | 0.3886 | 0.5456 |
57
- | No log | 0.2090 | 14 | 0.4624 | 0.4085 | 0.4624 |
58
- | No log | 0.2388 | 16 | 0.4188 | 0.4256 | 0.4188 |
59
- | No log | 0.2687 | 18 | 0.4127 | 0.4472 | 0.4127 |
60
- | No log | 0.2985 | 20 | 0.4097 | 0.5714 | 0.4097 |
61
- | No log | 0.3284 | 22 | 0.4263 | 0.5304 | 0.4263 |
62
- | No log | 0.3582 | 24 | 0.4263 | 0.6013 | 0.4263 |
63
- | No log | 0.3881 | 26 | 0.4291 | 0.5266 | 0.4291 |
64
- | No log | 0.4179 | 28 | 0.4956 | 0.3821 | 0.4956 |
65
- | No log | 0.4478 | 30 | 0.6276 | 0.2358 | 0.6276 |
66
- | No log | 0.4776 | 32 | 0.5191 | 0.3424 | 0.5191 |
67
- | No log | 0.5075 | 34 | 0.3886 | 0.5796 | 0.3886 |
68
- | No log | 0.5373 | 36 | 0.4471 | 0.6587 | 0.4471 |
69
- | No log | 0.5672 | 38 | 0.5216 | 0.6841 | 0.5216 |
70
- | No log | 0.5970 | 40 | 0.4964 | 0.6996 | 0.4964 |
71
- | No log | 0.6269 | 42 | 0.3933 | 0.6059 | 0.3933 |
72
- | No log | 0.6567 | 44 | 0.4005 | 0.4346 | 0.4005 |
73
- | No log | 0.6866 | 46 | 0.4494 | 0.3723 | 0.4494 |
74
- | No log | 0.7164 | 48 | 0.3869 | 0.4336 | 0.3869 |
75
- | No log | 0.7463 | 50 | 0.3519 | 0.5492 | 0.3519 |
76
- | No log | 0.7761 | 52 | 0.4054 | 0.6456 | 0.4054 |
77
- | No log | 0.8060 | 54 | 0.4709 | 0.7091 | 0.4709 |
78
- | No log | 0.8358 | 56 | 0.4444 | 0.6518 | 0.4444 |
79
- | No log | 0.8657 | 58 | 0.3970 | 0.4904 | 0.3970 |
80
- | No log | 0.8955 | 60 | 0.3593 | 0.5019 | 0.3593 |
81
- | No log | 0.9254 | 62 | 0.3568 | 0.4829 | 0.3568 |
82
- | No log | 0.9552 | 64 | 0.3636 | 0.4542 | 0.3636 |
83
- | No log | 0.9851 | 66 | 0.3443 | 0.5208 | 0.3443 |
84
- | No log | 1.0149 | 68 | 0.3360 | 0.5808 | 0.3360 |
85
- | No log | 1.0448 | 70 | 0.3498 | 0.6348 | 0.3498 |
86
- | No log | 1.0746 | 72 | 0.3605 | 0.6239 | 0.3605 |
87
- | No log | 1.1045 | 74 | 0.3729 | 0.6362 | 0.3729 |
88
- | No log | 1.1343 | 76 | 0.3536 | 0.6271 | 0.3536 |
89
- | No log | 1.1642 | 78 | 0.3291 | 0.6195 | 0.3291 |
90
- | No log | 1.1940 | 80 | 0.3167 | 0.6019 | 0.3167 |
91
- | No log | 1.2239 | 82 | 0.3308 | 0.5436 | 0.3308 |
92
- | No log | 1.2537 | 84 | 0.3383 | 0.5374 | 0.3383 |
93
- | No log | 1.2836 | 86 | 0.3108 | 0.6019 | 0.3108 |
94
- | No log | 1.3134 | 88 | 0.3449 | 0.6889 | 0.3449 |
95
- | No log | 1.3433 | 90 | 0.4016 | 0.7462 | 0.4016 |
96
- | No log | 1.3731 | 92 | 0.3671 | 0.7226 | 0.3671 |
97
- | No log | 1.4030 | 94 | 0.3511 | 0.7169 | 0.3511 |
98
- | No log | 1.4328 | 96 | 0.3221 | 0.6724 | 0.3221 |
99
- | No log | 1.4627 | 98 | 0.2964 | 0.6058 | 0.2964 |
100
- | No log | 1.4925 | 100 | 0.2981 | 0.5979 | 0.2981 |
101
- | No log | 1.5224 | 102 | 0.3050 | 0.6132 | 0.3050 |
102
- | No log | 1.5522 | 104 | 0.3045 | 0.6214 | 0.3045 |
103
- | No log | 1.5821 | 106 | 0.3029 | 0.6459 | 0.3029 |
104
- | No log | 1.6119 | 108 | 0.3022 | 0.6669 | 0.3022 |
105
- | No log | 1.6418 | 110 | 0.2957 | 0.6397 | 0.2957 |
106
- | No log | 1.6716 | 112 | 0.2978 | 0.6661 | 0.2978 |
107
- | No log | 1.7015 | 114 | 0.3018 | 0.6485 | 0.3018 |
108
- | No log | 1.7313 | 116 | 0.3019 | 0.6521 | 0.3019 |
109
- | No log | 1.7612 | 118 | 0.3064 | 0.6531 | 0.3064 |
110
- | No log | 1.7910 | 120 | 0.3164 | 0.6743 | 0.3164 |
111
- | No log | 1.8209 | 122 | 0.3017 | 0.6465 | 0.3017 |
112
- | No log | 1.8507 | 124 | 0.2939 | 0.6006 | 0.2939 |
113
- | No log | 1.8806 | 126 | 0.2929 | 0.5983 | 0.2929 |
114
- | No log | 1.9104 | 128 | 0.2938 | 0.5894 | 0.2938 |
115
- | No log | 1.9403 | 130 | 0.3015 | 0.6450 | 0.3015 |
116
- | No log | 1.9701 | 132 | 0.3092 | 0.6608 | 0.3092 |
117
- | No log | 2.0 | 134 | 0.3040 | 0.6349 | 0.3040 |
118
- | No log | 2.0299 | 136 | 0.3100 | 0.6394 | 0.3100 |
119
- | No log | 2.0597 | 138 | 0.3164 | 0.6438 | 0.3164 |
120
- | No log | 2.0896 | 140 | 0.3273 | 0.6548 | 0.3273 |
121
- | No log | 2.1194 | 142 | 0.3369 | 0.6855 | 0.3369 |
122
- | No log | 2.1493 | 144 | 0.3592 | 0.7197 | 0.3592 |
123
- | No log | 2.1791 | 146 | 0.3491 | 0.7110 | 0.3491 |
124
- | No log | 2.2090 | 148 | 0.3040 | 0.6737 | 0.3040 |
125
- | No log | 2.2388 | 150 | 0.2965 | 0.6074 | 0.2965 |
126
- | No log | 2.2687 | 152 | 0.2892 | 0.6008 | 0.2892 |
127
- | No log | 2.2985 | 154 | 0.2845 | 0.6733 | 0.2845 |
128
- | No log | 2.3284 | 156 | 0.3246 | 0.7050 | 0.3246 |
129
- | No log | 2.3582 | 158 | 0.3523 | 0.7290 | 0.3523 |
130
- | No log | 2.3881 | 160 | 0.3397 | 0.7298 | 0.3397 |
131
- | No log | 2.4179 | 162 | 0.2967 | 0.6931 | 0.2967 |
132
- | No log | 2.4478 | 164 | 0.2785 | 0.6576 | 0.2785 |
133
- | No log | 2.4776 | 166 | 0.2796 | 0.6046 | 0.2796 |
134
- | No log | 2.5075 | 168 | 0.2756 | 0.6642 | 0.2756 |
135
- | No log | 2.5373 | 170 | 0.2917 | 0.6973 | 0.2917 |
136
- | No log | 2.5672 | 172 | 0.3035 | 0.6955 | 0.3035 |
137
- | No log | 2.5970 | 174 | 0.2965 | 0.6872 | 0.2965 |
138
- | No log | 2.6269 | 176 | 0.2904 | 0.6676 | 0.2904 |
139
- | No log | 2.6567 | 178 | 0.2918 | 0.6502 | 0.2918 |
140
- | No log | 2.6866 | 180 | 0.3002 | 0.6610 | 0.3002 |
141
- | No log | 2.7164 | 182 | 0.3036 | 0.6775 | 0.3036 |
142
- | No log | 2.7463 | 184 | 0.3151 | 0.6946 | 0.3151 |
143
- | No log | 2.7761 | 186 | 0.3025 | 0.6801 | 0.3025 |
144
- | No log | 2.8060 | 188 | 0.3016 | 0.6816 | 0.3016 |
145
- | No log | 2.8358 | 190 | 0.2948 | 0.6867 | 0.2948 |
146
- | No log | 2.8657 | 192 | 0.2884 | 0.6840 | 0.2884 |
147
- | No log | 2.8955 | 194 | 0.2901 | 0.6984 | 0.2901 |
148
- | No log | 2.9254 | 196 | 0.3161 | 0.7266 | 0.3161 |
149
- | No log | 2.9552 | 198 | 0.3314 | 0.7278 | 0.3314 |
150
- | No log | 2.9851 | 200 | 0.3599 | 0.7395 | 0.3599 |
151
- | No log | 3.0149 | 202 | 0.3500 | 0.7368 | 0.3500 |
152
- | No log | 3.0448 | 204 | 0.3247 | 0.7195 | 0.3247 |
153
- | No log | 3.0746 | 206 | 0.3046 | 0.7171 | 0.3046 |
154
- | No log | 3.1045 | 208 | 0.2992 | 0.7107 | 0.2992 |
155
- | No log | 3.1343 | 210 | 0.2817 | 0.7049 | 0.2817 |
156
- | No log | 3.1642 | 212 | 0.2759 | 0.6988 | 0.2759 |
157
- | No log | 3.1940 | 214 | 0.2821 | 0.7083 | 0.2821 |
158
- | No log | 3.2239 | 216 | 0.2785 | 0.6974 | 0.2785 |
159
- | No log | 3.2537 | 218 | 0.2878 | 0.7076 | 0.2878 |
160
- | No log | 3.2836 | 220 | 0.2989 | 0.7212 | 0.2989 |
161
- | No log | 3.3134 | 222 | 0.3215 | 0.7382 | 0.3215 |
162
- | No log | 3.3433 | 224 | 0.3473 | 0.7553 | 0.3473 |
163
- | No log | 3.3731 | 226 | 0.3441 | 0.7540 | 0.3441 |
164
- | No log | 3.4030 | 228 | 0.3073 | 0.7378 | 0.3073 |
165
- | No log | 3.4328 | 230 | 0.2796 | 0.7068 | 0.2796 |
166
- | No log | 3.4627 | 232 | 0.2775 | 0.6960 | 0.2775 |
167
- | No log | 3.4925 | 234 | 0.2900 | 0.7158 | 0.2900 |
168
- | No log | 3.5224 | 236 | 0.3353 | 0.7499 | 0.3353 |
169
- | No log | 3.5522 | 238 | 0.4133 | 0.7759 | 0.4133 |
170
- | No log | 3.5821 | 240 | 0.4417 | 0.7765 | 0.4417 |
171
- | No log | 3.6119 | 242 | 0.4043 | 0.7724 | 0.4043 |
172
- | No log | 3.6418 | 244 | 0.3376 | 0.7508 | 0.3376 |
173
- | No log | 3.6716 | 246 | 0.3091 | 0.7164 | 0.3091 |
174
- | No log | 3.7015 | 248 | 0.2933 | 0.6959 | 0.2933 |
175
- | No log | 3.7313 | 250 | 0.2880 | 0.6747 | 0.2880 |
176
- | No log | 3.7612 | 252 | 0.2898 | 0.6758 | 0.2898 |
177
- | No log | 3.7910 | 254 | 0.2904 | 0.6816 | 0.2904 |
178
- | No log | 3.8209 | 256 | 0.2909 | 0.7010 | 0.2909 |
179
- | No log | 3.8507 | 258 | 0.2929 | 0.7023 | 0.2929 |
180
- | No log | 3.8806 | 260 | 0.3070 | 0.7026 | 0.3070 |
181
- | No log | 3.9104 | 262 | 0.3139 | 0.7200 | 0.3139 |
182
- | No log | 3.9403 | 264 | 0.3030 | 0.7028 | 0.3030 |
183
- | No log | 3.9701 | 266 | 0.2921 | 0.7048 | 0.2921 |
184
- | No log | 4.0 | 268 | 0.2786 | 0.6411 | 0.2786 |
185
- | No log | 4.0299 | 270 | 0.2752 | 0.6357 | 0.2752 |
186
- | No log | 4.0597 | 272 | 0.2739 | 0.6296 | 0.2739 |
187
- | No log | 4.0896 | 274 | 0.2724 | 0.6530 | 0.2724 |
188
- | No log | 4.1194 | 276 | 0.2777 | 0.6781 | 0.2777 |
189
- | No log | 4.1493 | 278 | 0.2886 | 0.7044 | 0.2886 |
190
- | No log | 4.1791 | 280 | 0.3133 | 0.7272 | 0.3133 |
191
- | No log | 4.2090 | 282 | 0.3412 | 0.7456 | 0.3412 |
192
- | No log | 4.2388 | 284 | 0.3478 | 0.7527 | 0.3478 |
193
- | No log | 4.2687 | 286 | 0.3332 | 0.7504 | 0.3332 |
194
- | No log | 4.2985 | 288 | 0.3087 | 0.7299 | 0.3087 |
195
- | No log | 4.3284 | 290 | 0.2869 | 0.7150 | 0.2869 |
196
- | No log | 4.3582 | 292 | 0.2768 | 0.6985 | 0.2768 |
197
- | No log | 4.3881 | 294 | 0.2740 | 0.6927 | 0.2740 |
198
- | No log | 4.4179 | 296 | 0.2755 | 0.6952 | 0.2755 |
199
- | No log | 4.4478 | 298 | 0.2784 | 0.6986 | 0.2784 |
200
- | No log | 4.4776 | 300 | 0.2836 | 0.7007 | 0.2836 |
201
- | No log | 4.5075 | 302 | 0.2915 | 0.7084 | 0.2915 |
202
- | No log | 4.5373 | 304 | 0.3019 | 0.7267 | 0.3019 |
203
- | No log | 4.5672 | 306 | 0.3137 | 0.7308 | 0.3137 |
204
- | No log | 4.5970 | 308 | 0.3236 | 0.7425 | 0.3236 |
205
- | No log | 4.6269 | 310 | 0.3293 | 0.7447 | 0.3293 |
206
- | No log | 4.6567 | 312 | 0.3275 | 0.7447 | 0.3275 |
207
- | No log | 4.6866 | 314 | 0.3257 | 0.7426 | 0.3257 |
208
- | No log | 4.7164 | 316 | 0.3203 | 0.7425 | 0.3203 |
209
- | No log | 4.7463 | 318 | 0.3120 | 0.7280 | 0.3120 |
210
- | No log | 4.7761 | 320 | 0.3042 | 0.7199 | 0.3042 |
211
- | No log | 4.8060 | 322 | 0.2997 | 0.7143 | 0.2997 |
212
- | No log | 4.8358 | 324 | 0.2988 | 0.7143 | 0.2988 |
213
- | No log | 4.8657 | 326 | 0.2990 | 0.7143 | 0.2990 |
214
- | No log | 4.8955 | 328 | 0.3002 | 0.7143 | 0.3002 |
215
- | No log | 4.9254 | 330 | 0.3006 | 0.7143 | 0.3006 |
216
- | No log | 4.9552 | 332 | 0.3004 | 0.7143 | 0.3004 |
217
- | No log | 4.9851 | 334 | 0.3003 | 0.7143 | 0.3003 |
218
 
219
 
220
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_prompt_adherence_task4_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_prompt_adherence_task4_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: 0.3376
19
+ - Qwk: 0.7136
20
+ - Mse: 0.3347
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
+ | No log | 0.0299 | 2 | 1.2352 | 0.0 | 1.2327 |
52
+ | No log | 0.0597 | 4 | 0.9657 | 0.0 | 0.9636 |
53
+ | No log | 0.0896 | 6 | 0.8614 | 0.2376 | 0.8596 |
54
+ | No log | 0.1194 | 8 | 0.8177 | 0.3472 | 0.8159 |
55
+ | No log | 0.1493 | 10 | 0.7773 | 0.3551 | 0.7756 |
56
+ | No log | 0.1791 | 12 | 0.7212 | 0.3577 | 0.7196 |
57
+ | No log | 0.2090 | 14 | 0.7108 | 0.3493 | 0.7094 |
58
+ | No log | 0.2388 | 16 | 0.6580 | 0.3495 | 0.6568 |
59
+ | No log | 0.2687 | 18 | 0.6153 | 0.3520 | 0.6140 |
60
+ | No log | 0.2985 | 20 | 0.5757 | 0.3622 | 0.5740 |
61
+ | No log | 0.3284 | 22 | 0.5514 | 0.3998 | 0.5492 |
62
+ | No log | 0.3582 | 24 | 0.5541 | 0.3725 | 0.5516 |
63
+ | No log | 0.3881 | 26 | 0.5877 | 0.3478 | 0.5850 |
64
+ | No log | 0.4179 | 28 | 0.5115 | 0.3637 | 0.5088 |
65
+ | No log | 0.4478 | 30 | 0.4795 | 0.3784 | 0.4767 |
66
+ | No log | 0.4776 | 32 | 0.4555 | 0.4686 | 0.4527 |
67
+ | No log | 0.5075 | 34 | 0.4509 | 0.6119 | 0.4480 |
68
+ | No log | 0.5373 | 36 | 0.4494 | 0.5913 | 0.4465 |
69
+ | No log | 0.5672 | 38 | 0.4459 | 0.5273 | 0.4431 |
70
+ | No log | 0.5970 | 40 | 0.4446 | 0.4820 | 0.4421 |
71
+ | No log | 0.6269 | 42 | 0.4337 | 0.5212 | 0.4310 |
72
+ | No log | 0.6567 | 44 | 0.4555 | 0.4669 | 0.4523 |
73
+ | No log | 0.6866 | 46 | 0.5375 | 0.3796 | 0.5338 |
74
+ | No log | 0.7164 | 48 | 0.5162 | 0.4192 | 0.5125 |
75
+ | No log | 0.7463 | 50 | 0.4909 | 0.4316 | 0.4873 |
76
+ | No log | 0.7761 | 52 | 0.4538 | 0.4563 | 0.4505 |
77
+ | No log | 0.8060 | 54 | 0.3986 | 0.6088 | 0.3957 |
78
+ | No log | 0.8358 | 56 | 0.3970 | 0.6362 | 0.3945 |
79
+ | No log | 0.8657 | 58 | 0.4051 | 0.6160 | 0.4029 |
80
+ | No log | 0.8955 | 60 | 0.4402 | 0.6915 | 0.4385 |
81
+ | No log | 0.9254 | 62 | 0.4589 | 0.7131 | 0.4574 |
82
+ | No log | 0.9552 | 64 | 0.4155 | 0.6957 | 0.4136 |
83
+ | No log | 0.9851 | 66 | 0.3925 | 0.6686 | 0.3902 |
84
+ | No log | 1.0149 | 68 | 0.3803 | 0.6230 | 0.3779 |
85
+ | No log | 1.0448 | 70 | 0.3849 | 0.5866 | 0.3823 |
86
+ | No log | 1.0746 | 72 | 0.3933 | 0.5621 | 0.3907 |
87
+ | No log | 1.1045 | 74 | 0.3767 | 0.6134 | 0.3742 |
88
+ | No log | 1.1343 | 76 | 0.3974 | 0.6952 | 0.3954 |
89
+ | No log | 1.1642 | 78 | 0.4197 | 0.7059 | 0.4180 |
90
+ | No log | 1.1940 | 80 | 0.4126 | 0.7019 | 0.4106 |
91
+ | No log | 1.2239 | 82 | 0.3825 | 0.6743 | 0.3801 |
92
+ | No log | 1.2537 | 84 | 0.3870 | 0.5898 | 0.3841 |
93
+ | No log | 1.2836 | 86 | 0.4077 | 0.5308 | 0.4046 |
94
+ | No log | 1.3134 | 88 | 0.3785 | 0.6068 | 0.3754 |
95
+ | No log | 1.3433 | 90 | 0.3659 | 0.6831 | 0.3634 |
96
+ | No log | 1.3731 | 92 | 0.4110 | 0.7143 | 0.4094 |
97
+ | No log | 1.4030 | 94 | 0.4019 | 0.7165 | 0.4003 |
98
+ | No log | 1.4328 | 96 | 0.3639 | 0.6585 | 0.3616 |
99
+ | No log | 1.4627 | 98 | 0.3611 | 0.5696 | 0.3580 |
100
+ | No log | 1.4925 | 100 | 0.4004 | 0.4979 | 0.3969 |
101
+ | No log | 1.5224 | 102 | 0.4052 | 0.4842 | 0.4016 |
102
+ | No log | 1.5522 | 104 | 0.3603 | 0.5786 | 0.3571 |
103
+ | No log | 1.5821 | 106 | 0.3606 | 0.7021 | 0.3581 |
104
+ | No log | 1.6119 | 108 | 0.3934 | 0.7166 | 0.3912 |
105
+ | No log | 1.6418 | 110 | 0.3772 | 0.7016 | 0.3746 |
106
+ | No log | 1.6716 | 112 | 0.3629 | 0.6278 | 0.3595 |
107
+ | No log | 1.7015 | 114 | 0.4135 | 0.4969 | 0.4097 |
108
+ | No log | 1.7313 | 116 | 0.4136 | 0.5040 | 0.4096 |
109
+ | No log | 1.7612 | 118 | 0.3709 | 0.6049 | 0.3670 |
110
+ | No log | 1.7910 | 120 | 0.3694 | 0.6999 | 0.3659 |
111
+ | No log | 1.8209 | 122 | 0.3852 | 0.7076 | 0.3820 |
112
+ | No log | 1.8507 | 124 | 0.4129 | 0.7210 | 0.4100 |
113
+ | No log | 1.8806 | 126 | 0.4104 | 0.7182 | 0.4071 |
114
+ | No log | 1.9104 | 128 | 0.3831 | 0.7150 | 0.3795 |
115
+ | No log | 1.9403 | 130 | 0.3645 | 0.7005 | 0.3605 |
116
+ | No log | 1.9701 | 132 | 0.3586 | 0.6678 | 0.3545 |
117
+ | No log | 2.0 | 134 | 0.3508 | 0.6547 | 0.3467 |
118
+ | No log | 2.0299 | 136 | 0.3474 | 0.6867 | 0.3438 |
119
+ | No log | 2.0597 | 138 | 0.3686 | 0.7233 | 0.3658 |
120
+ | No log | 2.0896 | 140 | 0.3793 | 0.7348 | 0.3771 |
121
+ | No log | 2.1194 | 142 | 0.3694 | 0.7303 | 0.3672 |
122
+ | No log | 2.1493 | 144 | 0.3552 | 0.7217 | 0.3529 |
123
+ | No log | 2.1791 | 146 | 0.3436 | 0.6527 | 0.3411 |
124
+ | No log | 2.2090 | 148 | 0.3436 | 0.6231 | 0.3408 |
125
+ | No log | 2.2388 | 150 | 0.3448 | 0.6403 | 0.3422 |
126
+ | No log | 2.2687 | 152 | 0.3592 | 0.6930 | 0.3570 |
127
+ | No log | 2.2985 | 154 | 0.3549 | 0.6682 | 0.3526 |
128
+ | No log | 2.3284 | 156 | 0.3531 | 0.6565 | 0.3509 |
129
+ | No log | 2.3582 | 158 | 0.3577 | 0.5698 | 0.3554 |
130
+ | No log | 2.3881 | 160 | 0.3661 | 0.5155 | 0.3635 |
131
+ | No log | 2.4179 | 162 | 0.3571 | 0.5463 | 0.3543 |
132
+ | No log | 2.4478 | 164 | 0.3388 | 0.6163 | 0.3358 |
133
+ | No log | 2.4776 | 166 | 0.3428 | 0.6843 | 0.3400 |
134
+ | No log | 2.5075 | 168 | 0.3889 | 0.7374 | 0.3864 |
135
+ | No log | 2.5373 | 170 | 0.4104 | 0.7415 | 0.4078 |
136
+ | No log | 2.5672 | 172 | 0.3920 | 0.7343 | 0.3890 |
137
+ | No log | 2.5970 | 174 | 0.3589 | 0.7071 | 0.3553 |
138
+ | No log | 2.6269 | 176 | 0.3418 | 0.6973 | 0.3379 |
139
+ | No log | 2.6567 | 178 | 0.3379 | 0.6729 | 0.3338 |
140
+ | No log | 2.6866 | 180 | 0.3366 | 0.6531 | 0.3325 |
141
+ | No log | 2.7164 | 182 | 0.3335 | 0.6938 | 0.3297 |
142
+ | No log | 2.7463 | 184 | 0.3515 | 0.7081 | 0.3485 |
143
+ | No log | 2.7761 | 186 | 0.3844 | 0.7387 | 0.3820 |
144
+ | No log | 2.8060 | 188 | 0.3874 | 0.7441 | 0.3852 |
145
+ | No log | 2.8358 | 190 | 0.3495 | 0.7224 | 0.3468 |
146
+ | No log | 2.8657 | 192 | 0.3242 | 0.6783 | 0.3208 |
147
+ | No log | 2.8955 | 194 | 0.3322 | 0.6336 | 0.3286 |
148
+ | No log | 2.9254 | 196 | 0.3354 | 0.6577 | 0.3316 |
149
+ | No log | 2.9552 | 198 | 0.3368 | 0.6913 | 0.3332 |
150
+ | No log | 2.9851 | 200 | 0.3676 | 0.7275 | 0.3647 |
151
+ | No log | 3.0149 | 202 | 0.4124 | 0.7294 | 0.4101 |
152
+ | No log | 3.0448 | 204 | 0.4165 | 0.7388 | 0.4142 |
153
+ | No log | 3.0746 | 206 | 0.3928 | 0.7287 | 0.3903 |
154
+ | No log | 3.1045 | 208 | 0.3558 | 0.7149 | 0.3527 |
155
+ | No log | 3.1343 | 210 | 0.3375 | 0.6970 | 0.3341 |
156
+ | No log | 3.1642 | 212 | 0.3306 | 0.6716 | 0.3272 |
157
+ | No log | 3.1940 | 214 | 0.3266 | 0.6814 | 0.3234 |
158
+ | No log | 3.2239 | 216 | 0.3316 | 0.7124 | 0.3287 |
159
+ | No log | 3.2537 | 218 | 0.3329 | 0.7182 | 0.3301 |
160
+ | No log | 3.2836 | 220 | 0.3393 | 0.7243 | 0.3367 |
161
+ | No log | 3.3134 | 222 | 0.3680 | 0.7327 | 0.3658 |
162
+ | No log | 3.3433 | 224 | 0.3882 | 0.7483 | 0.3862 |
163
+ | No log | 3.3731 | 226 | 0.3790 | 0.7355 | 0.3770 |
164
+ | No log | 3.4030 | 228 | 0.3458 | 0.7312 | 0.3432 |
165
+ | No log | 3.4328 | 230 | 0.3360 | 0.7308 | 0.3333 |
166
+ | No log | 3.4627 | 232 | 0.3497 | 0.7328 | 0.3473 |
167
+ | No log | 3.4925 | 234 | 0.3563 | 0.7328 | 0.3539 |
168
+ | No log | 3.5224 | 236 | 0.3456 | 0.7253 | 0.3428 |
169
+ | No log | 3.5522 | 238 | 0.3342 | 0.7016 | 0.3307 |
170
+ | No log | 3.5821 | 240 | 0.3457 | 0.6459 | 0.3418 |
171
+ | No log | 3.6119 | 242 | 0.3569 | 0.6425 | 0.3529 |
172
+ | No log | 3.6418 | 244 | 0.3518 | 0.6463 | 0.3478 |
173
+ | No log | 3.6716 | 246 | 0.3437 | 0.6589 | 0.3400 |
174
+ | No log | 3.7015 | 248 | 0.3393 | 0.6991 | 0.3360 |
175
+ | No log | 3.7313 | 250 | 0.3454 | 0.7089 | 0.3423 |
176
+ | No log | 3.7612 | 252 | 0.3429 | 0.7128 | 0.3398 |
177
+ | No log | 3.7910 | 254 | 0.3331 | 0.7014 | 0.3299 |
178
+ | No log | 3.8209 | 256 | 0.3270 | 0.6810 | 0.3237 |
179
+ | No log | 3.8507 | 258 | 0.3264 | 0.6792 | 0.3231 |
180
+ | No log | 3.8806 | 260 | 0.3264 | 0.6870 | 0.3233 |
181
+ | No log | 3.9104 | 262 | 0.3303 | 0.6999 | 0.3274 |
182
+ | No log | 3.9403 | 264 | 0.3387 | 0.7057 | 0.3359 |
183
+ | No log | 3.9701 | 266 | 0.3403 | 0.7095 | 0.3376 |
184
+ | No log | 4.0 | 268 | 0.3329 | 0.7027 | 0.3301 |
185
+ | No log | 4.0299 | 270 | 0.3325 | 0.6986 | 0.3296 |
186
+ | No log | 4.0597 | 272 | 0.3292 | 0.6847 | 0.3262 |
187
+ | No log | 4.0896 | 274 | 0.3278 | 0.6556 | 0.3247 |
188
+ | No log | 4.1194 | 276 | 0.3274 | 0.6594 | 0.3243 |
189
+ | No log | 4.1493 | 278 | 0.3292 | 0.7012 | 0.3262 |
190
+ | No log | 4.1791 | 280 | 0.3352 | 0.7056 | 0.3323 |
191
+ | No log | 4.2090 | 282 | 0.3480 | 0.7221 | 0.3453 |
192
+ | No log | 4.2388 | 284 | 0.3556 | 0.7342 | 0.3530 |
193
+ | No log | 4.2687 | 286 | 0.3560 | 0.7362 | 0.3534 |
194
+ | No log | 4.2985 | 288 | 0.3612 | 0.7380 | 0.3586 |
195
+ | No log | 4.3284 | 290 | 0.3578 | 0.7358 | 0.3552 |
196
+ | No log | 4.3582 | 292 | 0.3490 | 0.7266 | 0.3463 |
197
+ | No log | 4.3881 | 294 | 0.3390 | 0.7071 | 0.3360 |
198
+ | No log | 4.4179 | 296 | 0.3362 | 0.6972 | 0.3331 |
199
+ | No log | 4.4478 | 298 | 0.3333 | 0.7030 | 0.3301 |
200
+ | No log | 4.4776 | 300 | 0.3326 | 0.6942 | 0.3293 |
201
+ | No log | 4.5075 | 302 | 0.3322 | 0.6888 | 0.3288 |
202
+ | No log | 4.5373 | 304 | 0.3335 | 0.6910 | 0.3301 |
203
+ | No log | 4.5672 | 306 | 0.3350 | 0.6892 | 0.3316 |
204
+ | No log | 4.5970 | 308 | 0.3375 | 0.7055 | 0.3343 |
205
+ | No log | 4.6269 | 310 | 0.3425 | 0.7088 | 0.3395 |
206
+ | No log | 4.6567 | 312 | 0.3475 | 0.7169 | 0.3447 |
207
+ | No log | 4.6866 | 314 | 0.3502 | 0.7266 | 0.3474 |
208
+ | No log | 4.7164 | 316 | 0.3509 | 0.7285 | 0.3482 |
209
+ | No log | 4.7463 | 318 | 0.3496 | 0.7266 | 0.3469 |
210
+ | No log | 4.7761 | 320 | 0.3480 | 0.7266 | 0.3452 |
211
+ | No log | 4.8060 | 322 | 0.3461 | 0.7179 | 0.3433 |
212
+ | No log | 4.8358 | 324 | 0.3440 | 0.7159 | 0.3412 |
213
+ | No log | 4.8657 | 326 | 0.3411 | 0.7152 | 0.3383 |
214
+ | No log | 4.8955 | 328 | 0.3397 | 0.7165 | 0.3368 |
215
+ | No log | 4.9254 | 330 | 0.3389 | 0.7177 | 0.3360 |
216
+ | No log | 4.9552 | 332 | 0.3382 | 0.7134 | 0.3353 |
217
+ | No log | 4.9851 | 334 | 0.3376 | 0.7136 | 0.3347 |
218
 
219
 
220
  ### Framework versions