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bert_baseline_prompt_adherence_task6_fold0

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  1. README.md +177 -177
  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. 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:
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- - name: bert_baseline_prompt_adherence_task6_fold0
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3408
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- - Qwk: 0.7659
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- - Mse: 0.3408
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  ## Model description
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@@ -46,178 +46,178 @@ The following hyperparameters were used during training:
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47
  ### Training results
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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 |
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- | No log | 1.0882 | 74 | 0.3645 | 0.6324 | 0.3645 |
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- | 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 |
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- | No log | 1.4412 | 98 | 0.3422 | 0.6618 | 0.3422 |
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- | No log | 1.4706 | 100 | 0.3388 | 0.6909 | 0.3388 |
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- | No log | 1.5 | 102 | 0.3835 | 0.7163 | 0.3835 |
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- | No log | 1.5294 | 104 | 0.3977 | 0.7205 | 0.3977 |
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- | No log | 1.5588 | 106 | 0.3601 | 0.7102 | 0.3601 |
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- | No log | 1.5882 | 108 | 0.3383 | 0.6769 | 0.3383 |
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- | No log | 1.6176 | 110 | 0.3430 | 0.6506 | 0.3430 |
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- | No log | 1.6471 | 112 | 0.3397 | 0.7243 | 0.3397 |
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- | No log | 1.6765 | 114 | 0.3835 | 0.7538 | 0.3835 |
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- | No log | 1.7059 | 116 | 0.3606 | 0.7389 | 0.3606 |
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- | No log | 1.7353 | 118 | 0.3273 | 0.7156 | 0.3273 |
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- | No log | 1.7647 | 120 | 0.3244 | 0.7004 | 0.3244 |
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- | No log | 1.7941 | 122 | 0.3539 | 0.7388 | 0.3539 |
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- | No log | 1.8235 | 124 | 0.3867 | 0.7379 | 0.3867 |
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- | No log | 1.8529 | 126 | 0.4474 | 0.7465 | 0.4474 |
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- | No log | 1.8824 | 128 | 0.3972 | 0.7249 | 0.3972 |
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- | No log | 1.9118 | 130 | 0.3303 | 0.6991 | 0.3303 |
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- | No log | 1.9412 | 132 | 0.3315 | 0.6577 | 0.3315 |
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- | No log | 1.9706 | 134 | 0.3429 | 0.6354 | 0.3429 |
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- | No log | 2.0 | 136 | 0.3201 | 0.6801 | 0.3201 |
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- | No log | 2.0294 | 138 | 0.3170 | 0.6849 | 0.3170 |
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- | No log | 2.0588 | 140 | 0.3195 | 0.7111 | 0.3195 |
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- | No log | 2.0882 | 142 | 0.3411 | 0.7223 | 0.3411 |
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- | No log | 2.1176 | 144 | 0.3576 | 0.7397 | 0.3576 |
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- | No log | 2.1471 | 146 | 0.3323 | 0.7351 | 0.3323 |
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- | No log | 2.1765 | 148 | 0.3230 | 0.7066 | 0.3230 |
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- | No log | 2.2059 | 150 | 0.3279 | 0.7208 | 0.3279 |
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- | No log | 2.2353 | 152 | 0.3530 | 0.7482 | 0.3530 |
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- | No log | 2.2647 | 154 | 0.3378 | 0.7338 | 0.3378 |
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- | No log | 2.2941 | 156 | 0.3316 | 0.7195 | 0.3316 |
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- | No log | 2.3235 | 158 | 0.3484 | 0.7404 | 0.3484 |
130
- | No log | 2.3529 | 160 | 0.3644 | 0.7467 | 0.3644 |
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- | No log | 2.3824 | 162 | 0.4398 | 0.7866 | 0.4398 |
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- | No log | 2.4118 | 164 | 0.4367 | 0.7900 | 0.4367 |
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- | 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 |
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- | 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 |
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- | No log | 2.6471 | 180 | 0.3782 | 0.7603 | 0.3782 |
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- | 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 |
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- | 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 |
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- | No log | 3.0882 | 210 | 0.3151 | 0.7327 | 0.3151 |
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- | No log | 3.1176 | 212 | 0.3104 | 0.6909 | 0.3104 |
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- | No log | 3.1471 | 214 | 0.3115 | 0.6779 | 0.3115 |
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- | No log | 3.1765 | 216 | 0.3051 | 0.7104 | 0.3051 |
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- | No log | 3.2059 | 218 | 0.3233 | 0.7460 | 0.3233 |
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- | No log | 3.2353 | 220 | 0.3524 | 0.7723 | 0.3524 |
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- | No log | 3.2647 | 222 | 0.3622 | 0.7805 | 0.3622 |
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- | No log | 3.2941 | 224 | 0.3447 | 0.7745 | 0.3447 |
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- | No log | 3.3235 | 226 | 0.3255 | 0.7496 | 0.3255 |
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- | No log | 3.3529 | 228 | 0.3192 | 0.7577 | 0.3192 |
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- | No log | 3.3824 | 230 | 0.3226 | 0.7596 | 0.3226 |
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- | No log | 3.4118 | 232 | 0.3374 | 0.7780 | 0.3374 |
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- | No log | 3.4412 | 234 | 0.3338 | 0.7709 | 0.3338 |
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- | No log | 3.4706 | 236 | 0.3200 | 0.7475 | 0.3200 |
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- | No log | 3.5 | 238 | 0.3149 | 0.7410 | 0.3149 |
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- | No log | 3.5294 | 240 | 0.3218 | 0.7519 | 0.3218 |
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- | No log | 3.5588 | 242 | 0.3419 | 0.7623 | 0.3419 |
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- | No log | 3.5882 | 244 | 0.3489 | 0.7607 | 0.3489 |
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- | No log | 3.6176 | 246 | 0.3240 | 0.7445 | 0.3240 |
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- | No log | 3.6471 | 248 | 0.3140 | 0.7135 | 0.3140 |
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- | No log | 3.6765 | 250 | 0.3158 | 0.7066 | 0.3158 |
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- | No log | 3.7059 | 252 | 0.3164 | 0.7244 | 0.3164 |
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- | No log | 3.7353 | 254 | 0.3378 | 0.7483 | 0.3378 |
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- | No log | 3.7647 | 256 | 0.3923 | 0.7762 | 0.3923 |
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- | No log | 3.7941 | 258 | 0.4374 | 0.7989 | 0.4374 |
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- | No log | 3.8235 | 260 | 0.4200 | 0.7913 | 0.4200 |
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- | No log | 3.8529 | 262 | 0.3738 | 0.7725 | 0.3738 |
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- | No log | 3.8824 | 264 | 0.3377 | 0.7451 | 0.3377 |
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- | No log | 3.9118 | 266 | 0.3297 | 0.7298 | 0.3297 |
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- | No log | 3.9412 | 268 | 0.3285 | 0.7305 | 0.3285 |
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- | No log | 3.9706 | 270 | 0.3401 | 0.7572 | 0.3401 |
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- | No log | 4.0 | 272 | 0.3458 | 0.7596 | 0.3458 |
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- | No log | 4.0294 | 274 | 0.3553 | 0.7676 | 0.3553 |
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- | No log | 4.0588 | 276 | 0.3686 | 0.7745 | 0.3686 |
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- | No log | 4.0882 | 278 | 0.3686 | 0.7771 | 0.3686 |
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- | No log | 4.1176 | 280 | 0.3506 | 0.7653 | 0.3506 |
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- | No log | 4.1471 | 282 | 0.3270 | 0.7495 | 0.3270 |
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- | No log | 4.1765 | 284 | 0.3184 | 0.7449 | 0.3184 |
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- | No log | 4.2059 | 286 | 0.3159 | 0.7353 | 0.3159 |
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- | No log | 4.2353 | 288 | 0.3167 | 0.7420 | 0.3167 |
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- | No log | 4.2647 | 290 | 0.3233 | 0.7509 | 0.3233 |
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- | No log | 4.2941 | 292 | 0.3287 | 0.7537 | 0.3287 |
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- | No log | 4.3235 | 294 | 0.3270 | 0.7514 | 0.3270 |
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- | 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 |
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- | No log | 4.4412 | 302 | 0.3437 | 0.7700 | 0.3437 |
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- | No log | 4.4706 | 304 | 0.3419 | 0.7690 | 0.3419 |
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- | 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 |
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- | No log | 4.7941 | 326 | 0.3694 | 0.7793 | 0.3694 |
214
- | No log | 4.8235 | 328 | 0.3657 | 0.7793 | 0.3657 |
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- | No log | 4.8529 | 330 | 0.3613 | 0.7781 | 0.3613 |
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- | 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 |
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- | 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
 
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: 0.4551
19
+ - Qwk: 0.6660
20
+ - Mse: 0.4557
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 | 2.5264 | 0.0 | 2.5267 |
52
+ | No log | 0.0588 | 4 | 2.0698 | 0.0038 | 2.0712 |
53
+ | No log | 0.0882 | 6 | 1.6692 | 0.0 | 1.6712 |
54
+ | No log | 0.1176 | 8 | 1.2106 | 0.0 | 1.2131 |
55
+ | No log | 0.1471 | 10 | 0.9954 | 0.0691 | 0.9982 |
56
+ | No log | 0.1765 | 12 | 0.8820 | 0.2541 | 0.8852 |
57
+ | No log | 0.2059 | 14 | 0.8417 | 0.2650 | 0.8448 |
58
+ | No log | 0.2353 | 16 | 0.8815 | 0.2322 | 0.8848 |
59
+ | No log | 0.2647 | 18 | 0.8194 | 0.2689 | 0.8221 |
60
+ | No log | 0.2941 | 20 | 0.7283 | 0.3098 | 0.7301 |
61
+ | No log | 0.3235 | 22 | 0.7901 | 0.2583 | 0.7914 |
62
+ | No log | 0.3529 | 24 | 0.6593 | 0.3801 | 0.6606 |
63
+ | No log | 0.3824 | 26 | 0.7245 | 0.5177 | 0.7257 |
64
+ | No log | 0.4118 | 28 | 0.6890 | 0.5405 | 0.6901 |
65
+ | No log | 0.4412 | 30 | 0.6153 | 0.5085 | 0.6163 |
66
+ | No log | 0.4706 | 32 | 0.5972 | 0.4415 | 0.5983 |
67
+ | No log | 0.5 | 34 | 0.6245 | 0.4454 | 0.6258 |
68
+ | No log | 0.5294 | 36 | 0.6180 | 0.4472 | 0.6194 |
69
+ | No log | 0.5588 | 38 | 0.6077 | 0.4471 | 0.6092 |
70
+ | No log | 0.5882 | 40 | 0.5946 | 0.4562 | 0.5961 |
71
+ | No log | 0.6176 | 42 | 0.5627 | 0.4472 | 0.5640 |
72
+ | No log | 0.6471 | 44 | 0.5460 | 0.5244 | 0.5469 |
73
+ | No log | 0.6765 | 46 | 0.6361 | 0.4065 | 0.6367 |
74
+ | No log | 0.7059 | 48 | 0.5804 | 0.4599 | 0.5810 |
75
+ | No log | 0.7353 | 50 | 0.5607 | 0.5779 | 0.5615 |
76
+ | No log | 0.7647 | 52 | 0.6101 | 0.6093 | 0.6110 |
77
+ | No log | 0.7941 | 54 | 0.5810 | 0.5759 | 0.5820 |
78
+ | No log | 0.8235 | 56 | 0.5469 | 0.5709 | 0.5479 |
79
+ | No log | 0.8529 | 58 | 0.5256 | 0.4866 | 0.5264 |
80
+ | No log | 0.8824 | 60 | 0.5980 | 0.4283 | 0.5987 |
81
+ | No log | 0.9118 | 62 | 0.6064 | 0.4232 | 0.6072 |
82
+ | No log | 0.9412 | 64 | 0.5125 | 0.4985 | 0.5135 |
83
+ | No log | 0.9706 | 66 | 0.5452 | 0.5979 | 0.5463 |
84
+ | No log | 1.0 | 68 | 0.5796 | 0.6272 | 0.5808 |
85
+ | No log | 1.0294 | 70 | 0.5182 | 0.5908 | 0.5192 |
86
+ | No log | 1.0588 | 72 | 0.5140 | 0.5991 | 0.5149 |
87
+ | No log | 1.0882 | 74 | 0.5245 | 0.6207 | 0.5253 |
88
+ | No log | 1.1176 | 76 | 0.5014 | 0.6022 | 0.5021 |
89
+ | No log | 1.1471 | 78 | 0.5038 | 0.5943 | 0.5044 |
90
+ | No log | 1.1765 | 80 | 0.5171 | 0.6163 | 0.5177 |
91
+ | No log | 1.2059 | 82 | 0.6261 | 0.6760 | 0.6268 |
92
+ | No log | 1.2353 | 84 | 0.6490 | 0.6752 | 0.6499 |
93
+ | No log | 1.2647 | 86 | 0.5317 | 0.6323 | 0.5326 |
94
+ | No log | 1.2941 | 88 | 0.5102 | 0.5013 | 0.5110 |
95
+ | No log | 1.3235 | 90 | 0.5808 | 0.4495 | 0.5815 |
96
+ | No log | 1.3529 | 92 | 0.5643 | 0.4550 | 0.5651 |
97
+ | No log | 1.3824 | 94 | 0.5106 | 0.4999 | 0.5117 |
98
+ | No log | 1.4118 | 96 | 0.5167 | 0.5695 | 0.5179 |
99
+ | No log | 1.4412 | 98 | 0.5727 | 0.6042 | 0.5738 |
100
+ | No log | 1.4706 | 100 | 0.6069 | 0.6507 | 0.6080 |
101
+ | No log | 1.5 | 102 | 0.5390 | 0.6260 | 0.5400 |
102
+ | No log | 1.5294 | 104 | 0.4888 | 0.5835 | 0.4897 |
103
+ | No log | 1.5588 | 106 | 0.4900 | 0.5230 | 0.4907 |
104
+ | No log | 1.5882 | 108 | 0.4817 | 0.5590 | 0.4823 |
105
+ | No log | 1.6176 | 110 | 0.4832 | 0.5992 | 0.4838 |
106
+ | No log | 1.6471 | 112 | 0.4945 | 0.5880 | 0.4949 |
107
+ | No log | 1.6765 | 114 | 0.5089 | 0.5723 | 0.5092 |
108
+ | No log | 1.7059 | 116 | 0.5011 | 0.6063 | 0.5015 |
109
+ | No log | 1.7353 | 118 | 0.5326 | 0.6648 | 0.5331 |
110
+ | No log | 1.7647 | 120 | 0.5306 | 0.6618 | 0.5311 |
111
+ | No log | 1.7941 | 122 | 0.5076 | 0.6601 | 0.5082 |
112
+ | No log | 1.8235 | 124 | 0.4719 | 0.5863 | 0.4724 |
113
+ | No log | 1.8529 | 126 | 0.4719 | 0.5670 | 0.4724 |
114
+ | No log | 1.8824 | 128 | 0.4620 | 0.5819 | 0.4625 |
115
+ | No log | 1.9118 | 130 | 0.4811 | 0.6184 | 0.4818 |
116
+ | No log | 1.9412 | 132 | 0.4936 | 0.6386 | 0.4944 |
117
+ | No log | 1.9706 | 134 | 0.4668 | 0.5933 | 0.4676 |
118
+ | No log | 2.0 | 136 | 0.4560 | 0.5843 | 0.4566 |
119
+ | No log | 2.0294 | 138 | 0.4566 | 0.5641 | 0.4572 |
120
+ | No log | 2.0588 | 140 | 0.4535 | 0.5968 | 0.4542 |
121
+ | No log | 2.0882 | 142 | 0.4773 | 0.6510 | 0.4780 |
122
+ | No log | 2.1176 | 144 | 0.4823 | 0.6678 | 0.4829 |
123
+ | No log | 2.1471 | 146 | 0.4443 | 0.6390 | 0.4448 |
124
+ | No log | 2.1765 | 148 | 0.4879 | 0.5093 | 0.4881 |
125
+ | No log | 2.2059 | 150 | 0.5565 | 0.4746 | 0.5565 |
126
+ | No log | 2.2353 | 152 | 0.5079 | 0.5090 | 0.5080 |
127
+ | No log | 2.2647 | 154 | 0.4413 | 0.6192 | 0.4417 |
128
+ | No log | 2.2941 | 156 | 0.4994 | 0.6877 | 0.5000 |
129
+ | No log | 2.3235 | 158 | 0.5384 | 0.6969 | 0.5390 |
130
+ | No log | 2.3529 | 160 | 0.5459 | 0.7049 | 0.5465 |
131
+ | No log | 2.3824 | 162 | 0.4896 | 0.6931 | 0.4902 |
132
+ | No log | 2.4118 | 164 | 0.4515 | 0.6166 | 0.4521 |
133
+ | No log | 2.4412 | 166 | 0.4542 | 0.5582 | 0.4548 |
134
+ | No log | 2.4706 | 168 | 0.4744 | 0.5231 | 0.4750 |
135
+ | No log | 2.5 | 170 | 0.4727 | 0.5311 | 0.4734 |
136
+ | No log | 2.5294 | 172 | 0.4686 | 0.5308 | 0.4692 |
137
+ | No log | 2.5588 | 174 | 0.4522 | 0.5758 | 0.4528 |
138
+ | No log | 2.5882 | 176 | 0.4710 | 0.6394 | 0.4716 |
139
+ | No log | 2.6176 | 178 | 0.5015 | 0.6718 | 0.5021 |
140
+ | No log | 2.6471 | 180 | 0.4992 | 0.6662 | 0.4996 |
141
+ | No log | 2.6765 | 182 | 0.4766 | 0.6586 | 0.4770 |
142
+ | No log | 2.7059 | 184 | 0.4565 | 0.6203 | 0.4568 |
143
+ | No log | 2.7353 | 186 | 0.4604 | 0.5839 | 0.4607 |
144
+ | No log | 2.7647 | 188 | 0.4642 | 0.5807 | 0.4645 |
145
+ | No log | 2.7941 | 190 | 0.4823 | 0.5543 | 0.4825 |
146
+ | No log | 2.8235 | 192 | 0.4684 | 0.5730 | 0.4686 |
147
+ | No log | 2.8529 | 194 | 0.4621 | 0.6599 | 0.4624 |
148
+ | No log | 2.8824 | 196 | 0.5061 | 0.6894 | 0.5065 |
149
+ | No log | 2.9118 | 198 | 0.6049 | 0.7179 | 0.6053 |
150
+ | No log | 2.9412 | 200 | 0.6139 | 0.7144 | 0.6143 |
151
+ | No log | 2.9706 | 202 | 0.5494 | 0.7066 | 0.5499 |
152
+ | No log | 3.0 | 204 | 0.4878 | 0.6852 | 0.4883 |
153
+ | No log | 3.0294 | 206 | 0.4412 | 0.6324 | 0.4416 |
154
+ | No log | 3.0588 | 208 | 0.4376 | 0.5864 | 0.4381 |
155
+ | No log | 3.0882 | 210 | 0.4372 | 0.5787 | 0.4378 |
156
+ | No log | 3.1176 | 212 | 0.4362 | 0.5976 | 0.4368 |
157
+ | No log | 3.1471 | 214 | 0.4480 | 0.6297 | 0.4486 |
158
+ | No log | 3.1765 | 216 | 0.4506 | 0.6470 | 0.4512 |
159
+ | No log | 3.2059 | 218 | 0.4538 | 0.6630 | 0.4543 |
160
+ | No log | 3.2353 | 220 | 0.4517 | 0.6553 | 0.4523 |
161
+ | No log | 3.2647 | 222 | 0.4429 | 0.6528 | 0.4434 |
162
+ | No log | 3.2941 | 224 | 0.4419 | 0.6274 | 0.4423 |
163
+ | No log | 3.3235 | 226 | 0.4443 | 0.5986 | 0.4447 |
164
+ | No log | 3.3529 | 228 | 0.4438 | 0.6168 | 0.4442 |
165
+ | No log | 3.3824 | 230 | 0.4436 | 0.6385 | 0.4441 |
166
+ | No log | 3.4118 | 232 | 0.4517 | 0.6535 | 0.4522 |
167
+ | No log | 3.4412 | 234 | 0.4706 | 0.6768 | 0.4711 |
168
+ | No log | 3.4706 | 236 | 0.4663 | 0.6793 | 0.4668 |
169
+ | No log | 3.5 | 238 | 0.4484 | 0.6485 | 0.4489 |
170
+ | No log | 3.5294 | 240 | 0.4432 | 0.6242 | 0.4437 |
171
+ | No log | 3.5588 | 242 | 0.4516 | 0.5690 | 0.4521 |
172
+ | No log | 3.5882 | 244 | 0.4524 | 0.5692 | 0.4530 |
173
+ | No log | 3.6176 | 246 | 0.4532 | 0.6189 | 0.4538 |
174
+ | No log | 3.6471 | 248 | 0.4842 | 0.6598 | 0.4849 |
175
+ | No log | 3.6765 | 250 | 0.5276 | 0.7093 | 0.5283 |
176
+ | No log | 3.7059 | 252 | 0.5211 | 0.7109 | 0.5218 |
177
+ | No log | 3.7353 | 254 | 0.4884 | 0.7045 | 0.4891 |
178
+ | No log | 3.7647 | 256 | 0.4540 | 0.6519 | 0.4546 |
179
+ | No log | 3.7941 | 258 | 0.4426 | 0.5963 | 0.4431 |
180
+ | No log | 3.8235 | 260 | 0.4721 | 0.5300 | 0.4724 |
181
+ | No log | 3.8529 | 262 | 0.4893 | 0.5089 | 0.4895 |
182
+ | No log | 3.8824 | 264 | 0.4702 | 0.5384 | 0.4705 |
183
+ | No log | 3.9118 | 266 | 0.4426 | 0.5917 | 0.4430 |
184
+ | No log | 3.9412 | 268 | 0.4437 | 0.6570 | 0.4442 |
185
+ | No log | 3.9706 | 270 | 0.4933 | 0.6938 | 0.4939 |
186
+ | No log | 4.0 | 272 | 0.5444 | 0.7055 | 0.5451 |
187
+ | No log | 4.0294 | 274 | 0.5539 | 0.7027 | 0.5546 |
188
+ | No log | 4.0588 | 276 | 0.5254 | 0.7033 | 0.5262 |
189
+ | No log | 4.0882 | 278 | 0.4805 | 0.6873 | 0.4812 |
190
+ | No log | 4.1176 | 280 | 0.4416 | 0.6569 | 0.4422 |
191
+ | No log | 4.1471 | 282 | 0.4319 | 0.6089 | 0.4323 |
192
+ | No log | 4.1765 | 284 | 0.4440 | 0.5684 | 0.4444 |
193
+ | No log | 4.2059 | 286 | 0.4576 | 0.5526 | 0.4579 |
194
+ | No log | 4.2353 | 288 | 0.4602 | 0.5469 | 0.4605 |
195
+ | No log | 4.2647 | 290 | 0.4573 | 0.5491 | 0.4576 |
196
+ | No log | 4.2941 | 292 | 0.4470 | 0.5685 | 0.4474 |
197
+ | No log | 4.3235 | 294 | 0.4351 | 0.5867 | 0.4355 |
198
+ | No log | 4.3529 | 296 | 0.4371 | 0.6428 | 0.4377 |
199
+ | No log | 4.3824 | 298 | 0.4542 | 0.6719 | 0.4549 |
200
+ | No log | 4.4118 | 300 | 0.4759 | 0.6888 | 0.4766 |
201
+ | No log | 4.4412 | 302 | 0.4875 | 0.7017 | 0.4882 |
202
+ | No log | 4.4706 | 304 | 0.4885 | 0.7005 | 0.4892 |
203
+ | No log | 4.5 | 306 | 0.4803 | 0.6927 | 0.4810 |
204
+ | No log | 4.5294 | 308 | 0.4695 | 0.6736 | 0.4702 |
205
+ | No log | 4.5588 | 310 | 0.4570 | 0.6633 | 0.4577 |
206
+ | No log | 4.5882 | 312 | 0.4506 | 0.6443 | 0.4512 |
207
+ | No log | 4.6176 | 314 | 0.4450 | 0.6455 | 0.4456 |
208
+ | No log | 4.6471 | 316 | 0.4427 | 0.6507 | 0.4433 |
209
+ | No log | 4.6765 | 318 | 0.4412 | 0.6514 | 0.4418 |
210
+ | No log | 4.7059 | 320 | 0.4426 | 0.6558 | 0.4432 |
211
+ | No log | 4.7353 | 322 | 0.4435 | 0.6556 | 0.4441 |
212
+ | No log | 4.7647 | 324 | 0.4464 | 0.6594 | 0.4470 |
213
+ | No log | 4.7941 | 326 | 0.4506 | 0.6658 | 0.4512 |
214
+ | No log | 4.8235 | 328 | 0.4520 | 0.6636 | 0.4526 |
215
+ | No log | 4.8529 | 330 | 0.4535 | 0.6651 | 0.4541 |
216
+ | No log | 4.8824 | 332 | 0.4531 | 0.6651 | 0.4537 |
217
+ | No log | 4.9118 | 334 | 0.4538 | 0.6651 | 0.4544 |
218
+ | No log | 4.9412 | 336 | 0.4551 | 0.6660 | 0.4557 |
219
+ | No log | 4.9706 | 338 | 0.4553 | 0.6660 | 0.4559 |
220
+ | No log | 5.0 | 340 | 0.4551 | 0.6660 | 0.4557 |
221
 
222
 
223
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