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  1. README.md +175 -175
  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. 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
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  model-index:
7
- - name: bert_baseline_prompt_adherence_task6_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_task6_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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3288
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- - Qwk: 0.7422
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- - Mse: 0.3288
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22
  ## Model description
23
 
@@ -48,176 +48,176 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
51
- | No log | 0.0294 | 2 | 1.8986 | 0.0 | 1.8986 |
52
- | No log | 0.0588 | 4 | 1.6521 | -0.0342 | 1.6521 |
53
- | No log | 0.0882 | 6 | 1.4500 | 0.0004 | 1.4500 |
54
- | No log | 0.1176 | 8 | 1.1609 | 0.0061 | 1.1609 |
55
- | No log | 0.1471 | 10 | 0.9700 | 0.0061 | 0.9700 |
56
- | No log | 0.1765 | 12 | 0.9097 | 0.0061 | 0.9097 |
57
- | No log | 0.2059 | 14 | 0.8141 | 0.0323 | 0.8141 |
58
- | No log | 0.2353 | 16 | 0.7370 | 0.2445 | 0.7370 |
59
- | No log | 0.2647 | 18 | 0.7044 | 0.2300 | 0.7044 |
60
- | No log | 0.2941 | 20 | 0.6348 | 0.4347 | 0.6348 |
61
- | No log | 0.3235 | 22 | 0.7139 | 0.4023 | 0.7139 |
62
- | No log | 0.3529 | 24 | 0.5634 | 0.3840 | 0.5634 |
63
- | No log | 0.3824 | 26 | 0.6137 | 0.2690 | 0.6137 |
64
- | No log | 0.4118 | 28 | 0.5451 | 0.3540 | 0.5451 |
65
- | No log | 0.4412 | 30 | 0.5289 | 0.3626 | 0.5289 |
66
- | No log | 0.4706 | 32 | 0.5049 | 0.3927 | 0.5049 |
67
- | No log | 0.5 | 34 | 0.5319 | 0.4664 | 0.5319 |
68
- | No log | 0.5294 | 36 | 0.4861 | 0.4888 | 0.4861 |
69
- | No log | 0.5588 | 38 | 0.4563 | 0.4702 | 0.4563 |
70
- | No log | 0.5882 | 40 | 0.4365 | 0.4773 | 0.4365 |
71
- | No log | 0.6176 | 42 | 0.4228 | 0.5355 | 0.4228 |
72
- | No log | 0.6471 | 44 | 0.4593 | 0.6269 | 0.4593 |
73
- | No log | 0.6765 | 46 | 0.4971 | 0.6193 | 0.4971 |
74
- | No log | 0.7059 | 48 | 0.4550 | 0.6090 | 0.4550 |
75
- | No log | 0.7353 | 50 | 0.4086 | 0.5866 | 0.4086 |
76
- | No log | 0.7647 | 52 | 0.4576 | 0.5210 | 0.4576 |
77
- | No log | 0.7941 | 54 | 0.3740 | 0.6309 | 0.3740 |
78
- | No log | 0.8235 | 56 | 0.4147 | 0.6481 | 0.4147 |
79
- | No log | 0.8529 | 58 | 0.4043 | 0.6910 | 0.4043 |
80
- | No log | 0.8824 | 60 | 0.3834 | 0.6801 | 0.3834 |
81
- | No log | 0.9118 | 62 | 0.3837 | 0.6727 | 0.3837 |
82
- | No log | 0.9412 | 64 | 0.3774 | 0.6596 | 0.3774 |
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- | No log | 0.9706 | 66 | 0.3672 | 0.6468 | 0.3672 |
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- | No log | 1.0 | 68 | 0.3628 | 0.6605 | 0.3628 |
85
- | No log | 1.0294 | 70 | 0.3592 | 0.6620 | 0.3592 |
86
- | No log | 1.0588 | 72 | 0.3749 | 0.6878 | 0.3749 |
87
- | No log | 1.0882 | 74 | 0.3433 | 0.6583 | 0.3433 |
88
- | No log | 1.1176 | 76 | 0.3362 | 0.6459 | 0.3362 |
89
- | No log | 1.1471 | 78 | 0.3935 | 0.7573 | 0.3935 |
90
- | No log | 1.1765 | 80 | 0.3859 | 0.7253 | 0.3859 |
91
- | No log | 1.2059 | 82 | 0.3883 | 0.5852 | 0.3883 |
92
- | No log | 1.2353 | 84 | 0.4080 | 0.5619 | 0.4080 |
93
- | No log | 1.2647 | 86 | 0.3783 | 0.6390 | 0.3783 |
94
- | No log | 1.2941 | 88 | 0.3614 | 0.6297 | 0.3614 |
95
- | No log | 1.3235 | 90 | 0.3642 | 0.5743 | 0.3642 |
96
- | No log | 1.3529 | 92 | 0.3365 | 0.6430 | 0.3365 |
97
- | No log | 1.3824 | 94 | 0.3616 | 0.6944 | 0.3616 |
98
- | No log | 1.4118 | 96 | 0.3127 | 0.6722 | 0.3127 |
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- | No log | 1.4412 | 98 | 0.3324 | 0.5823 | 0.3324 |
100
- | No log | 1.4706 | 100 | 0.3257 | 0.5839 | 0.3257 |
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- | No log | 1.5 | 102 | 0.3090 | 0.6764 | 0.3090 |
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- | No log | 1.5294 | 104 | 0.3270 | 0.6876 | 0.3270 |
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- | No log | 1.5588 | 106 | 0.3012 | 0.6604 | 0.3012 |
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- | No log | 1.5882 | 108 | 0.3020 | 0.6283 | 0.3020 |
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- | No log | 1.6176 | 110 | 0.3053 | 0.6613 | 0.3053 |
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- | No log | 1.6471 | 112 | 0.3138 | 0.6820 | 0.3138 |
107
- | No log | 1.6765 | 114 | 0.3054 | 0.6508 | 0.3054 |
108
- | No log | 1.7059 | 116 | 0.3037 | 0.6374 | 0.3037 |
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- | No log | 1.7353 | 118 | 0.3034 | 0.6757 | 0.3034 |
110
- | No log | 1.7647 | 120 | 0.3735 | 0.7649 | 0.3735 |
111
- | No log | 1.7941 | 122 | 0.4315 | 0.7541 | 0.4315 |
112
- | No log | 1.8235 | 124 | 0.3284 | 0.7141 | 0.3284 |
113
- | No log | 1.8529 | 126 | 0.3009 | 0.6005 | 0.3009 |
114
- | No log | 1.8824 | 128 | 0.3623 | 0.5476 | 0.3623 |
115
- | No log | 1.9118 | 130 | 0.3101 | 0.5868 | 0.3101 |
116
- | No log | 1.9412 | 132 | 0.2816 | 0.6661 | 0.2816 |
117
- | No log | 1.9706 | 134 | 0.3151 | 0.7358 | 0.3151 |
118
- | No log | 2.0 | 136 | 0.3870 | 0.7595 | 0.3870 |
119
- | No log | 2.0294 | 138 | 0.3671 | 0.7561 | 0.3671 |
120
- | No log | 2.0588 | 140 | 0.2936 | 0.6983 | 0.2936 |
121
- | No log | 2.0882 | 142 | 0.3417 | 0.5715 | 0.3417 |
122
- | No log | 2.1176 | 144 | 0.4410 | 0.5009 | 0.4410 |
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- | No log | 2.1471 | 146 | 0.3744 | 0.5453 | 0.3744 |
124
- | No log | 2.1765 | 148 | 0.2889 | 0.6784 | 0.2889 |
125
- | No log | 2.2059 | 150 | 0.3547 | 0.7635 | 0.3547 |
126
- | No log | 2.2353 | 152 | 0.3716 | 0.7670 | 0.3716 |
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- | No log | 2.2647 | 154 | 0.3037 | 0.7066 | 0.3037 |
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- | No log | 2.2941 | 156 | 0.3183 | 0.5996 | 0.3183 |
129
- | No log | 2.3235 | 158 | 0.3423 | 0.5677 | 0.3423 |
130
- | No log | 2.3529 | 160 | 0.3120 | 0.6136 | 0.3120 |
131
- | No log | 2.3824 | 162 | 0.2975 | 0.6584 | 0.2975 |
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- | No log | 2.4118 | 164 | 0.2992 | 0.7014 | 0.2992 |
133
- | No log | 2.4412 | 166 | 0.3403 | 0.7536 | 0.3403 |
134
- | No log | 2.4706 | 168 | 0.3489 | 0.7571 | 0.3489 |
135
- | No log | 2.5 | 170 | 0.3066 | 0.6941 | 0.3066 |
136
- | No log | 2.5294 | 172 | 0.3322 | 0.5994 | 0.3322 |
137
- | No log | 2.5588 | 174 | 0.3234 | 0.6097 | 0.3234 |
138
- | No log | 2.5882 | 176 | 0.3001 | 0.6872 | 0.3001 |
139
- | No log | 2.6176 | 178 | 0.3131 | 0.7070 | 0.3131 |
140
- | No log | 2.6471 | 180 | 0.3284 | 0.7140 | 0.3284 |
141
- | No log | 2.6765 | 182 | 0.3058 | 0.6744 | 0.3058 |
142
- | No log | 2.7059 | 184 | 0.3025 | 0.6450 | 0.3025 |
143
- | No log | 2.7353 | 186 | 0.3145 | 0.6126 | 0.3145 |
144
- | No log | 2.7647 | 188 | 0.3056 | 0.6316 | 0.3056 |
145
- | No log | 2.7941 | 190 | 0.3063 | 0.6902 | 0.3063 |
146
- | No log | 2.8235 | 192 | 0.3425 | 0.7332 | 0.3425 |
147
- | No log | 2.8529 | 194 | 0.3476 | 0.7439 | 0.3476 |
148
- | No log | 2.8824 | 196 | 0.3112 | 0.7238 | 0.3112 |
149
- | No log | 2.9118 | 198 | 0.3028 | 0.6338 | 0.3028 |
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- | No log | 2.9412 | 200 | 0.3258 | 0.5995 | 0.3258 |
151
- | No log | 2.9706 | 202 | 0.3027 | 0.6328 | 0.3027 |
152
- | No log | 3.0 | 204 | 0.2961 | 0.7051 | 0.2961 |
153
- | No log | 3.0294 | 206 | 0.3291 | 0.7439 | 0.3291 |
154
- | No log | 3.0588 | 208 | 0.3521 | 0.7631 | 0.3521 |
155
- | No log | 3.0882 | 210 | 0.3390 | 0.7666 | 0.3390 |
156
- | No log | 3.1176 | 212 | 0.2953 | 0.7179 | 0.2953 |
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- | No log | 3.1471 | 214 | 0.3073 | 0.6244 | 0.3073 |
158
- | No log | 3.1765 | 216 | 0.3247 | 0.5912 | 0.3247 |
159
- | No log | 3.2059 | 218 | 0.3058 | 0.6445 | 0.3058 |
160
- | No log | 3.2353 | 220 | 0.3027 | 0.7135 | 0.3027 |
161
- | No log | 3.2647 | 222 | 0.3270 | 0.7607 | 0.3270 |
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- | No log | 3.2941 | 224 | 0.3380 | 0.7545 | 0.3380 |
163
- | No log | 3.3235 | 226 | 0.3145 | 0.7426 | 0.3145 |
164
- | No log | 3.3529 | 228 | 0.3005 | 0.7080 | 0.3005 |
165
- | No log | 3.3824 | 230 | 0.2996 | 0.7013 | 0.2996 |
166
- | No log | 3.4118 | 232 | 0.3066 | 0.7205 | 0.3066 |
167
- | No log | 3.4412 | 234 | 0.3115 | 0.7364 | 0.3115 |
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- | No log | 3.4706 | 236 | 0.3052 | 0.7199 | 0.3052 |
169
- | No log | 3.5 | 238 | 0.2957 | 0.7052 | 0.2957 |
170
- | No log | 3.5294 | 240 | 0.3011 | 0.7119 | 0.3011 |
171
- | No log | 3.5588 | 242 | 0.3020 | 0.7088 | 0.3020 |
172
- | No log | 3.5882 | 244 | 0.3001 | 0.6948 | 0.3001 |
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- | No log | 3.6176 | 246 | 0.3081 | 0.6610 | 0.3081 |
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- | No log | 3.6471 | 248 | 0.3126 | 0.6487 | 0.3126 |
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- | No log | 3.6765 | 250 | 0.3060 | 0.6905 | 0.3060 |
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- | No log | 3.7059 | 252 | 0.3270 | 0.7420 | 0.3270 |
177
- | No log | 3.7353 | 254 | 0.3838 | 0.7812 | 0.3838 |
178
- | No log | 3.7647 | 256 | 0.3868 | 0.7830 | 0.3868 |
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- | No log | 3.7941 | 258 | 0.3482 | 0.7628 | 0.3482 |
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- | No log | 3.8235 | 260 | 0.3310 | 0.7413 | 0.3310 |
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- | No log | 3.8529 | 262 | 0.3239 | 0.7306 | 0.3239 |
182
- | No log | 3.8824 | 264 | 0.3178 | 0.7226 | 0.3178 |
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- | No log | 3.9118 | 266 | 0.3097 | 0.7029 | 0.3097 |
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- | No log | 3.9412 | 268 | 0.3040 | 0.6942 | 0.3040 |
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- | No log | 3.9706 | 270 | 0.3031 | 0.7134 | 0.3031 |
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- | No log | 4.0 | 272 | 0.3131 | 0.7232 | 0.3131 |
187
- | No log | 4.0294 | 274 | 0.3172 | 0.7320 | 0.3172 |
188
- | No log | 4.0588 | 276 | 0.3222 | 0.7423 | 0.3222 |
189
- | No log | 4.0882 | 278 | 0.3102 | 0.7190 | 0.3102 |
190
- | No log | 4.1176 | 280 | 0.3026 | 0.7184 | 0.3026 |
191
- | No log | 4.1471 | 282 | 0.3004 | 0.6990 | 0.3004 |
192
- | No log | 4.1765 | 284 | 0.3016 | 0.6906 | 0.3016 |
193
- | No log | 4.2059 | 286 | 0.3036 | 0.6829 | 0.3036 |
194
- | No log | 4.2353 | 288 | 0.3067 | 0.7002 | 0.3067 |
195
- | No log | 4.2647 | 290 | 0.3080 | 0.7033 | 0.3080 |
196
- | No log | 4.2941 | 292 | 0.3101 | 0.7100 | 0.3101 |
197
- | No log | 4.3235 | 294 | 0.3092 | 0.7100 | 0.3092 |
198
- | No log | 4.3529 | 296 | 0.3150 | 0.7207 | 0.3150 |
199
- | No log | 4.3824 | 298 | 0.3224 | 0.7287 | 0.3224 |
200
- | No log | 4.4118 | 300 | 0.3194 | 0.7227 | 0.3194 |
201
- | No log | 4.4412 | 302 | 0.3218 | 0.7287 | 0.3218 |
202
- | No log | 4.4706 | 304 | 0.3285 | 0.7363 | 0.3285 |
203
- | No log | 4.5 | 306 | 0.3234 | 0.7321 | 0.3234 |
204
- | No log | 4.5294 | 308 | 0.3236 | 0.7321 | 0.3236 |
205
- | No log | 4.5588 | 310 | 0.3237 | 0.7317 | 0.3237 |
206
- | No log | 4.5882 | 312 | 0.3206 | 0.7262 | 0.3206 |
207
- | No log | 4.6176 | 314 | 0.3205 | 0.7224 | 0.3205 |
208
- | No log | 4.6471 | 316 | 0.3246 | 0.7314 | 0.3246 |
209
- | No log | 4.6765 | 318 | 0.3278 | 0.7348 | 0.3278 |
210
- | No log | 4.7059 | 320 | 0.3285 | 0.7410 | 0.3285 |
211
- | No log | 4.7353 | 322 | 0.3334 | 0.7426 | 0.3334 |
212
- | No log | 4.7647 | 324 | 0.3351 | 0.7454 | 0.3351 |
213
- | No log | 4.7941 | 326 | 0.3374 | 0.7448 | 0.3374 |
214
- | No log | 4.8235 | 328 | 0.3390 | 0.7479 | 0.3390 |
215
- | No log | 4.8529 | 330 | 0.3375 | 0.7459 | 0.3375 |
216
- | No log | 4.8824 | 332 | 0.3364 | 0.7448 | 0.3364 |
217
- | No log | 4.9118 | 334 | 0.3345 | 0.7457 | 0.3345 |
218
- | No log | 4.9412 | 336 | 0.3317 | 0.7457 | 0.3317 |
219
- | No log | 4.9706 | 338 | 0.3294 | 0.7422 | 0.3294 |
220
- | No log | 5.0 | 340 | 0.3288 | 0.7422 | 0.3288 |
221
 
222
 
223
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_prompt_adherence_task6_fold3
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_fold3
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: 0.4247
19
+ - Qwk: 0.7754
20
+ - Mse: 0.4247
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
51
+ | No log | 0.0294 | 2 | 1.7612 | 0.0 | 1.7612 |
52
+ | No log | 0.0588 | 4 | 1.4976 | -0.0486 | 1.4976 |
53
+ | No log | 0.0882 | 6 | 1.3256 | -0.0045 | 1.3256 |
54
+ | No log | 0.1176 | 8 | 1.0956 | 0.0 | 1.0956 |
55
+ | No log | 0.1471 | 10 | 0.9927 | 0.0 | 0.9927 |
56
+ | No log | 0.1765 | 12 | 0.9586 | 0.0 | 0.9586 |
57
+ | No log | 0.2059 | 14 | 0.8770 | 0.0 | 0.8770 |
58
+ | No log | 0.2353 | 16 | 0.8268 | 0.2233 | 0.8268 |
59
+ | No log | 0.2647 | 18 | 0.7869 | 0.4102 | 0.7869 |
60
+ | No log | 0.2941 | 20 | 0.7539 | 0.4667 | 0.7539 |
61
+ | No log | 0.3235 | 22 | 0.6848 | 0.4524 | 0.6848 |
62
+ | No log | 0.3529 | 24 | 0.6251 | 0.3985 | 0.6251 |
63
+ | No log | 0.3824 | 26 | 0.5728 | 0.4507 | 0.5728 |
64
+ | No log | 0.4118 | 28 | 0.5804 | 0.5026 | 0.5804 |
65
+ | No log | 0.4412 | 30 | 0.6041 | 0.4997 | 0.6041 |
66
+ | No log | 0.4706 | 32 | 0.4732 | 0.4918 | 0.4732 |
67
+ | No log | 0.5 | 34 | 0.4584 | 0.5333 | 0.4584 |
68
+ | No log | 0.5294 | 36 | 0.5895 | 0.5679 | 0.5895 |
69
+ | No log | 0.5588 | 38 | 0.5094 | 0.6123 | 0.5094 |
70
+ | No log | 0.5882 | 40 | 0.5028 | 0.6302 | 0.5028 |
71
+ | No log | 0.6176 | 42 | 0.4369 | 0.6373 | 0.4369 |
72
+ | No log | 0.6471 | 44 | 0.4934 | 0.4785 | 0.4934 |
73
+ | No log | 0.6765 | 46 | 0.5004 | 0.4726 | 0.5004 |
74
+ | No log | 0.7059 | 48 | 0.4262 | 0.7031 | 0.4262 |
75
+ | No log | 0.7353 | 50 | 0.5825 | 0.6763 | 0.5825 |
76
+ | No log | 0.7647 | 52 | 0.4681 | 0.6710 | 0.4681 |
77
+ | No log | 0.7941 | 54 | 0.3762 | 0.6538 | 0.3762 |
78
+ | No log | 0.8235 | 56 | 0.3737 | 0.6383 | 0.3737 |
79
+ | No log | 0.8529 | 58 | 0.3822 | 0.6748 | 0.3822 |
80
+ | No log | 0.8824 | 60 | 0.3905 | 0.6817 | 0.3905 |
81
+ | No log | 0.9118 | 62 | 0.3853 | 0.6730 | 0.3853 |
82
+ | No log | 0.9412 | 64 | 0.3845 | 0.6766 | 0.3845 |
83
+ | No log | 0.9706 | 66 | 0.3865 | 0.6717 | 0.3865 |
84
+ | No log | 1.0 | 68 | 0.4478 | 0.6696 | 0.4478 |
85
+ | No log | 1.0294 | 70 | 0.5322 | 0.6747 | 0.5322 |
86
+ | No log | 1.0588 | 72 | 0.4563 | 0.6951 | 0.4563 |
87
+ | No log | 1.0882 | 74 | 0.4128 | 0.6789 | 0.4128 |
88
+ | No log | 1.1176 | 76 | 0.4267 | 0.7117 | 0.4267 |
89
+ | No log | 1.1471 | 78 | 0.5439 | 0.7687 | 0.5439 |
90
+ | No log | 1.1765 | 80 | 0.5451 | 0.7671 | 0.5451 |
91
+ | No log | 1.2059 | 82 | 0.3950 | 0.6714 | 0.3950 |
92
+ | No log | 1.2353 | 84 | 0.3919 | 0.5799 | 0.3919 |
93
+ | No log | 1.2647 | 86 | 0.4102 | 0.5500 | 0.4102 |
94
+ | No log | 1.2941 | 88 | 0.3534 | 0.6453 | 0.3534 |
95
+ | No log | 1.3235 | 90 | 0.4337 | 0.6800 | 0.4337 |
96
+ | No log | 1.3529 | 92 | 0.5133 | 0.6574 | 0.5133 |
97
+ | No log | 1.3824 | 94 | 0.4936 | 0.6765 | 0.4936 |
98
+ | No log | 1.4118 | 96 | 0.3690 | 0.6859 | 0.3690 |
99
+ | No log | 1.4412 | 98 | 0.3403 | 0.6334 | 0.3403 |
100
+ | No log | 1.4706 | 100 | 0.3431 | 0.6301 | 0.3431 |
101
+ | No log | 1.5 | 102 | 0.3333 | 0.6502 | 0.3333 |
102
+ | No log | 1.5294 | 104 | 0.4377 | 0.7022 | 0.4377 |
103
+ | No log | 1.5588 | 106 | 0.5763 | 0.7012 | 0.5763 |
104
+ | No log | 1.5882 | 108 | 0.5293 | 0.6672 | 0.5293 |
105
+ | No log | 1.6176 | 110 | 0.4315 | 0.6747 | 0.4315 |
106
+ | No log | 1.6471 | 112 | 0.3583 | 0.6808 | 0.3583 |
107
+ | No log | 1.6765 | 114 | 0.3511 | 0.6735 | 0.3511 |
108
+ | No log | 1.7059 | 116 | 0.3478 | 0.6618 | 0.3478 |
109
+ | No log | 1.7353 | 118 | 0.3474 | 0.6507 | 0.3474 |
110
+ | No log | 1.7647 | 120 | 0.3620 | 0.6630 | 0.3620 |
111
+ | No log | 1.7941 | 122 | 0.3894 | 0.6804 | 0.3894 |
112
+ | No log | 1.8235 | 124 | 0.4057 | 0.6852 | 0.4057 |
113
+ | No log | 1.8529 | 126 | 0.4497 | 0.6764 | 0.4497 |
114
+ | No log | 1.8824 | 128 | 0.3986 | 0.6851 | 0.3986 |
115
+ | No log | 1.9118 | 130 | 0.3293 | 0.6466 | 0.3293 |
116
+ | No log | 1.9412 | 132 | 0.3306 | 0.6285 | 0.3306 |
117
+ | No log | 1.9706 | 134 | 0.3381 | 0.6239 | 0.3381 |
118
+ | No log | 2.0 | 136 | 0.3413 | 0.6706 | 0.3413 |
119
+ | No log | 2.0294 | 138 | 0.4640 | 0.7789 | 0.4640 |
120
+ | No log | 2.0588 | 140 | 0.5489 | 0.7778 | 0.5489 |
121
+ | No log | 2.0882 | 142 | 0.4773 | 0.7819 | 0.4773 |
122
+ | No log | 2.1176 | 144 | 0.3711 | 0.7206 | 0.3711 |
123
+ | No log | 2.1471 | 146 | 0.3393 | 0.6336 | 0.3393 |
124
+ | No log | 2.1765 | 148 | 0.3465 | 0.6045 | 0.3465 |
125
+ | No log | 2.2059 | 150 | 0.3300 | 0.6413 | 0.3300 |
126
+ | No log | 2.2353 | 152 | 0.3591 | 0.7270 | 0.3591 |
127
+ | No log | 2.2647 | 154 | 0.4846 | 0.7874 | 0.4846 |
128
+ | No log | 2.2941 | 156 | 0.4862 | 0.7887 | 0.4862 |
129
+ | No log | 2.3235 | 158 | 0.3858 | 0.7422 | 0.3858 |
130
+ | No log | 2.3529 | 160 | 0.3396 | 0.6951 | 0.3396 |
131
+ | No log | 2.3824 | 162 | 0.3593 | 0.7225 | 0.3593 |
132
+ | No log | 2.4118 | 164 | 0.4085 | 0.7388 | 0.4085 |
133
+ | No log | 2.4412 | 166 | 0.4379 | 0.7507 | 0.4379 |
134
+ | No log | 2.4706 | 168 | 0.3953 | 0.7282 | 0.3953 |
135
+ | No log | 2.5 | 170 | 0.3341 | 0.6774 | 0.3341 |
136
+ | No log | 2.5294 | 172 | 0.3235 | 0.6494 | 0.3235 |
137
+ | No log | 2.5588 | 174 | 0.3218 | 0.6610 | 0.3218 |
138
+ | No log | 2.5882 | 176 | 0.3445 | 0.6891 | 0.3445 |
139
+ | No log | 2.6176 | 178 | 0.4174 | 0.7484 | 0.4174 |
140
+ | No log | 2.6471 | 180 | 0.4074 | 0.7478 | 0.4074 |
141
+ | No log | 2.6765 | 182 | 0.3458 | 0.7047 | 0.3458 |
142
+ | No log | 2.7059 | 184 | 0.3242 | 0.6716 | 0.3242 |
143
+ | No log | 2.7353 | 186 | 0.3304 | 0.6942 | 0.3304 |
144
+ | No log | 2.7647 | 188 | 0.3594 | 0.7320 | 0.3594 |
145
+ | No log | 2.7941 | 190 | 0.4304 | 0.7863 | 0.4304 |
146
+ | No log | 2.8235 | 192 | 0.4484 | 0.7965 | 0.4484 |
147
+ | No log | 2.8529 | 194 | 0.4058 | 0.7579 | 0.4058 |
148
+ | No log | 2.8824 | 196 | 0.3506 | 0.7108 | 0.3506 |
149
+ | No log | 2.9118 | 198 | 0.3382 | 0.7120 | 0.3382 |
150
+ | No log | 2.9412 | 200 | 0.3547 | 0.7253 | 0.3547 |
151
+ | No log | 2.9706 | 202 | 0.3676 | 0.7164 | 0.3676 |
152
+ | No log | 3.0 | 204 | 0.3491 | 0.6914 | 0.3491 |
153
+ | No log | 3.0294 | 206 | 0.3292 | 0.6816 | 0.3292 |
154
+ | No log | 3.0588 | 208 | 0.3223 | 0.6803 | 0.3223 |
155
+ | No log | 3.0882 | 210 | 0.3258 | 0.6989 | 0.3258 |
156
+ | No log | 3.1176 | 212 | 0.3207 | 0.7000 | 0.3207 |
157
+ | No log | 3.1471 | 214 | 0.3364 | 0.7168 | 0.3364 |
158
+ | No log | 3.1765 | 216 | 0.3697 | 0.7496 | 0.3697 |
159
+ | No log | 3.2059 | 218 | 0.3810 | 0.7657 | 0.3810 |
160
+ | No log | 3.2353 | 220 | 0.3702 | 0.7464 | 0.3702 |
161
+ | No log | 3.2647 | 222 | 0.3315 | 0.7005 | 0.3315 |
162
+ | No log | 3.2941 | 224 | 0.3241 | 0.6858 | 0.3241 |
163
+ | No log | 3.3235 | 226 | 0.3280 | 0.7003 | 0.3280 |
164
+ | No log | 3.3529 | 228 | 0.3536 | 0.7327 | 0.3536 |
165
+ | No log | 3.3824 | 230 | 0.4122 | 0.7663 | 0.4122 |
166
+ | No log | 3.4118 | 232 | 0.4680 | 0.7739 | 0.4680 |
167
+ | No log | 3.4412 | 234 | 0.4622 | 0.7703 | 0.4622 |
168
+ | No log | 3.4706 | 236 | 0.4020 | 0.7561 | 0.4020 |
169
+ | No log | 3.5 | 238 | 0.3521 | 0.7217 | 0.3521 |
170
+ | No log | 3.5294 | 240 | 0.3329 | 0.6738 | 0.3329 |
171
+ | No log | 3.5588 | 242 | 0.3358 | 0.6592 | 0.3358 |
172
+ | No log | 3.5882 | 244 | 0.3324 | 0.6681 | 0.3324 |
173
+ | No log | 3.6176 | 246 | 0.3434 | 0.7028 | 0.3434 |
174
+ | No log | 3.6471 | 248 | 0.3973 | 0.7504 | 0.3973 |
175
+ | No log | 3.6765 | 250 | 0.4777 | 0.7722 | 0.4777 |
176
+ | No log | 3.7059 | 252 | 0.4898 | 0.7732 | 0.4898 |
177
+ | No log | 3.7353 | 254 | 0.4411 | 0.7658 | 0.4411 |
178
+ | No log | 3.7647 | 256 | 0.3781 | 0.7255 | 0.3781 |
179
+ | No log | 3.7941 | 258 | 0.3491 | 0.7067 | 0.3491 |
180
+ | No log | 3.8235 | 260 | 0.3422 | 0.6995 | 0.3422 |
181
+ | No log | 3.8529 | 262 | 0.3415 | 0.7015 | 0.3415 |
182
+ | No log | 3.8824 | 264 | 0.3556 | 0.7104 | 0.3556 |
183
+ | No log | 3.9118 | 266 | 0.3833 | 0.7329 | 0.3833 |
184
+ | No log | 3.9412 | 268 | 0.3956 | 0.7442 | 0.3956 |
185
+ | No log | 3.9706 | 270 | 0.4082 | 0.7507 | 0.4082 |
186
+ | No log | 4.0 | 272 | 0.3878 | 0.7382 | 0.3878 |
187
+ | No log | 4.0294 | 274 | 0.3873 | 0.7374 | 0.3873 |
188
+ | No log | 4.0588 | 276 | 0.3782 | 0.7269 | 0.3782 |
189
+ | No log | 4.0882 | 278 | 0.3771 | 0.7269 | 0.3771 |
190
+ | No log | 4.1176 | 280 | 0.3708 | 0.7163 | 0.3708 |
191
+ | No log | 4.1471 | 282 | 0.3562 | 0.7133 | 0.3562 |
192
+ | No log | 4.1765 | 284 | 0.3492 | 0.7124 | 0.3492 |
193
+ | No log | 4.2059 | 286 | 0.3499 | 0.7111 | 0.3499 |
194
+ | No log | 4.2353 | 288 | 0.3450 | 0.7103 | 0.3450 |
195
+ | No log | 4.2647 | 290 | 0.3460 | 0.7077 | 0.3460 |
196
+ | No log | 4.2941 | 292 | 0.3568 | 0.7159 | 0.3568 |
197
+ | No log | 4.3235 | 294 | 0.3590 | 0.7237 | 0.3590 |
198
+ | No log | 4.3529 | 296 | 0.3593 | 0.7223 | 0.3593 |
199
+ | No log | 4.3824 | 298 | 0.3624 | 0.7269 | 0.3624 |
200
+ | No log | 4.4118 | 300 | 0.3731 | 0.7336 | 0.3731 |
201
+ | No log | 4.4412 | 302 | 0.3683 | 0.7301 | 0.3683 |
202
+ | No log | 4.4706 | 304 | 0.3664 | 0.7280 | 0.3664 |
203
+ | No log | 4.5 | 306 | 0.3577 | 0.7293 | 0.3577 |
204
+ | No log | 4.5294 | 308 | 0.3529 | 0.7255 | 0.3529 |
205
+ | No log | 4.5588 | 310 | 0.3467 | 0.7179 | 0.3467 |
206
+ | No log | 4.5882 | 312 | 0.3452 | 0.7054 | 0.3452 |
207
+ | No log | 4.6176 | 314 | 0.3451 | 0.7113 | 0.3451 |
208
+ | No log | 4.6471 | 316 | 0.3514 | 0.7212 | 0.3514 |
209
+ | No log | 4.6765 | 318 | 0.3596 | 0.7266 | 0.3596 |
210
+ | No log | 4.7059 | 320 | 0.3735 | 0.7376 | 0.3735 |
211
+ | No log | 4.7353 | 322 | 0.3884 | 0.7521 | 0.3884 |
212
+ | No log | 4.7647 | 324 | 0.4072 | 0.7658 | 0.4072 |
213
+ | No log | 4.7941 | 326 | 0.4235 | 0.7725 | 0.4235 |
214
+ | No log | 4.8235 | 328 | 0.4324 | 0.7807 | 0.4324 |
215
+ | No log | 4.8529 | 330 | 0.4356 | 0.7817 | 0.4356 |
216
+ | No log | 4.8824 | 332 | 0.4360 | 0.7801 | 0.4360 |
217
+ | No log | 4.9118 | 334 | 0.4343 | 0.7810 | 0.4343 |
218
+ | No log | 4.9412 | 336 | 0.4306 | 0.7823 | 0.4306 |
219
+ | No log | 4.9706 | 338 | 0.4266 | 0.7785 | 0.4266 |
220
+ | No log | 5.0 | 340 | 0.4247 | 0.7754 | 0.4247 |
221
 
222
 
223
  ### Framework versions
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