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picard47at
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tunned_albert_model2

Text Classification
Transformers
TensorBoard
Safetensors
albert
Generated from Trainer
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xet
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  1. README.md +308 -17
  2. model.safetensors +1 -1
  3. runs/Apr16_17-52-13_pop-os/events.out.tfevents.1744797133.pop-os.7784.0 +3 -0
  4. runs/Apr16_17-52-13_pop-os/events.out.tfevents.1744797177.pop-os.7784.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ckiplab/albert-tiny-chinese](https://huggingface.co/ckiplab/albert-tiny-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6809
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- - Accuracy: 0.5
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- - Precision: 0.25
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- - Recall: 0.5
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- - F1: 0.3333
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  ## Model description
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@@ -50,21 +50,312 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.6897 | 0.3333 | 3 | 0.6932 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.6693 | 0.6667 | 6 | 0.6925 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.6937 | 1.0 | 9 | 0.6915 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.6736 | 1.3333 | 12 | 0.6887 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.6498 | 1.6667 | 15 | 0.6866 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.7069 | 2.0 | 18 | 0.6851 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.6634 | 2.3333 | 21 | 0.6832 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.659 | 2.6667 | 24 | 0.6815 | 0.5 | 0.25 | 0.5 | 0.3333 |
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- | 0.6476 | 3.0 | 27 | 0.6809 | 0.5 | 0.25 | 0.5 | 0.3333 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [ckiplab/albert-tiny-chinese](https://huggingface.co/ckiplab/albert-tiny-chinese) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
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+ - Loss: 0.2528
25
+ - Accuracy: 0.9
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+ - Precision: 0.9018
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+ - Recall: 0.9
28
+ - F1: 0.8999
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  ## Model description
31
 
 
50
  - seed: 42
51
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 100
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.6918 | 0.3333 | 3 | 0.6922 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6763 | 0.6667 | 6 | 0.6925 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.679 | 1.0 | 9 | 0.6931 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6636 | 1.3333 | 12 | 0.6922 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6425 | 1.6667 | 15 | 0.6906 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6144 | 2.0 | 18 | 0.6898 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.5841 | 2.3333 | 21 | 0.6899 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.559 | 2.6667 | 24 | 0.6800 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6466 | 3.0 | 27 | 0.6525 | 0.5333 | 0.5466 | 0.5333 | 0.4976 |
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+ | 0.5517 | 3.3333 | 30 | 0.6359 | 0.7667 | 0.7679 | 0.7667 | 0.7664 |
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+ | 0.5051 | 3.6667 | 33 | 0.6283 | 0.6667 | 0.6794 | 0.6667 | 0.6606 |
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+ | 0.4652 | 4.0 | 36 | 0.6223 | 0.6667 | 0.6794 | 0.6667 | 0.6606 |
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+ | 0.4479 | 4.3333 | 39 | 0.6253 | 0.7 | 0.7083 | 0.7 | 0.6970 |
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+ | 0.4985 | 4.6667 | 42 | 0.6201 | 0.7333 | 0.7376 | 0.7333 | 0.7321 |
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+ | 0.4035 | 5.0 | 45 | 0.6057 | 0.7 | 0.7083 | 0.7 | 0.6970 |
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+ | 0.3983 | 5.3333 | 48 | 0.5882 | 0.7 | 0.7083 | 0.7 | 0.6970 |
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+ | 0.4134 | 5.6667 | 51 | 0.5634 | 0.6667 | 0.6794 | 0.6667 | 0.6606 |
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+ | 0.3796 | 6.0 | 54 | 0.5466 | 0.6667 | 0.6794 | 0.6667 | 0.6606 |
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+ | 0.3405 | 6.3333 | 57 | 0.5378 | 0.7 | 0.7250 | 0.7 | 0.6914 |
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+ | 0.375 | 6.6667 | 60 | 0.4955 | 0.7333 | 0.7512 | 0.7333 | 0.7285 |
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+ | 0.3256 | 7.0 | 63 | 0.4619 | 0.7667 | 0.7679 | 0.7667 | 0.7664 |
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+ | 0.3071 | 7.3333 | 66 | 0.4456 | 0.7667 | 0.7679 | 0.7667 | 0.7664 |
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+ | 0.2759 | 7.6667 | 69 | 0.4290 | 0.8 | 0.8054 | 0.8 | 0.7991 |
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+ | 0.3054 | 8.0 | 72 | 0.4190 | 0.8 | 0.8054 | 0.8 | 0.7991 |
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+ | 0.2674 | 8.3333 | 75 | 0.4117 | 0.8333 | 0.8472 | 0.8333 | 0.8316 |
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+ | 0.2743 | 8.6667 | 78 | 0.3768 | 0.8667 | 0.8733 | 0.8667 | 0.8661 |
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+ | 0.2608 | 9.0 | 81 | 0.3571 | 0.8333 | 0.8348 | 0.8333 | 0.8331 |
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+ | 0.2586 | 9.3333 | 84 | 0.3447 | 0.8667 | 0.8733 | 0.8667 | 0.8661 |
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+ | 0.2329 | 9.6667 | 87 | 0.3490 | 0.9 | 0.9167 | 0.9 | 0.8990 |
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+ | 0.1964 | 10.0 | 90 | 0.3180 | 0.8667 | 0.8733 | 0.8667 | 0.8661 |
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+ | 0.1913 | 10.3333 | 93 | 0.3238 | 0.8333 | 0.8348 | 0.8333 | 0.8331 |
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+ | 0.1911 | 10.6667 | 96 | 0.3277 | 0.8333 | 0.8348 | 0.8333 | 0.8331 |
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+ | 0.2537 | 11.0 | 99 | 0.2948 | 0.8667 | 0.8733 | 0.8667 | 0.8661 |
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+ | 0.2096 | 11.3333 | 102 | 0.2809 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1362 | 11.6667 | 105 | 0.2798 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1915 | 12.0 | 108 | 0.2832 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.136 | 12.3333 | 111 | 0.2664 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1661 | 12.6667 | 114 | 0.2610 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1664 | 13.0 | 117 | 0.2787 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1305 | 13.3333 | 120 | 0.2932 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1487 | 13.6667 | 123 | 0.2841 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1271 | 14.0 | 126 | 0.3022 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0805 | 14.3333 | 129 | 0.3364 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1002 | 14.6667 | 132 | 0.3330 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1761 | 15.0 | 135 | 0.2907 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
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+ | 0.0703 | 15.3333 | 138 | 0.2867 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.1402 | 15.6667 | 141 | 0.2917 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0868 | 16.0 | 144 | 0.3010 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0721 | 16.3333 | 147 | 0.3057 | 0.9 | 0.9018 | 0.9 | 0.8999 |
108
+ | 0.0749 | 16.6667 | 150 | 0.3091 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0963 | 17.0 | 153 | 0.3088 | 0.9 | 0.9018 | 0.9 | 0.8999 |
110
+ | 0.0405 | 17.3333 | 156 | 0.3038 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0705 | 17.6667 | 159 | 0.3017 | 0.9 | 0.9018 | 0.9 | 0.8999 |
112
+ | 0.109 | 18.0 | 162 | 0.2979 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0688 | 18.3333 | 165 | 0.2961 | 0.9 | 0.9018 | 0.9 | 0.8999 |
114
+ | 0.0311 | 18.6667 | 168 | 0.3029 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0458 | 19.0 | 171 | 0.2872 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0379 | 19.3333 | 174 | 0.2828 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0576 | 19.6667 | 177 | 0.2634 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0272 | 20.0 | 180 | 0.2707 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
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+ | 0.0546 | 20.3333 | 183 | 0.2752 | 0.8667 | 0.8733 | 0.8667 | 0.8661 |
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+ | 0.0226 | 20.6667 | 186 | 0.2844 | 0.8667 | 0.8733 | 0.8667 | 0.8661 |
121
+ | 0.0197 | 21.0 | 189 | 0.2791 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
122
+ | 0.0355 | 21.3333 | 192 | 0.2650 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
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+ | 0.0172 | 21.6667 | 195 | 0.2528 | 0.9 | 0.9018 | 0.9 | 0.8999 |
124
+ | 0.019 | 22.0 | 198 | 0.2785 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
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+ | 0.0159 | 22.3333 | 201 | 0.3118 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0205 | 22.6667 | 204 | 0.3141 | 0.9 | 0.9018 | 0.9 | 0.8999 |
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+ | 0.0128 | 23.0 | 207 | 0.3064 | 0.9 | 0.9018 | 0.9 | 0.8999 |
128
+ | 0.0129 | 23.3333 | 210 | 0.2951 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
129
+ | 0.012 | 23.6667 | 213 | 0.2902 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
130
+ | 0.0124 | 24.0 | 216 | 0.2914 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
131
+ | 0.0109 | 24.3333 | 219 | 0.2973 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
132
+ | 0.0109 | 24.6667 | 222 | 0.3047 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
133
+ | 0.0091 | 25.0 | 225 | 0.3108 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
134
+ | 0.0099 | 25.3333 | 228 | 0.3128 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
135
+ | 0.0088 | 25.6667 | 231 | 0.3135 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
136
+ | 0.0086 | 26.0 | 234 | 0.3151 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
137
+ | 0.008 | 26.3333 | 237 | 0.3175 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
138
+ | 0.0081 | 26.6667 | 240 | 0.3185 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
139
+ | 0.0077 | 27.0 | 243 | 0.3193 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
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+ | 0.0072 | 27.3333 | 246 | 0.3204 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
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+ | 0.0071 | 27.6667 | 249 | 0.3213 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
142
+ | 0.0069 | 28.0 | 252 | 0.3227 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
143
+ | 0.0068 | 28.3333 | 255 | 0.3239 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
144
+ | 0.0066 | 28.6667 | 258 | 0.3252 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
145
+ | 0.0062 | 29.0 | 261 | 0.3268 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
146
+ | 0.0066 | 29.3333 | 264 | 0.3278 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
147
+ | 0.0056 | 29.6667 | 267 | 0.3290 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
148
+ | 0.0063 | 30.0 | 270 | 0.3311 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
149
+ | 0.006 | 30.3333 | 273 | 0.3327 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
150
+ | 0.0056 | 30.6667 | 276 | 0.3339 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
151
+ | 0.0055 | 31.0 | 279 | 0.3359 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
152
+ | 0.0054 | 31.3333 | 282 | 0.3379 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
153
+ | 0.0052 | 31.6667 | 285 | 0.3392 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
154
+ | 0.0051 | 32.0 | 288 | 0.3400 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
155
+ | 0.0049 | 32.3333 | 291 | 0.3407 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
156
+ | 0.0049 | 32.6667 | 294 | 0.3416 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
157
+ | 0.0046 | 33.0 | 297 | 0.3424 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
158
+ | 0.0048 | 33.3333 | 300 | 0.3431 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
159
+ | 0.0043 | 33.6667 | 303 | 0.3441 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
160
+ | 0.0043 | 34.0 | 306 | 0.3452 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
161
+ | 0.0046 | 34.3333 | 309 | 0.3465 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
162
+ | 0.0041 | 34.6667 | 312 | 0.3478 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
163
+ | 0.0042 | 35.0 | 315 | 0.3485 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
164
+ | 0.0042 | 35.3333 | 318 | 0.3492 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
165
+ | 0.004 | 35.6667 | 321 | 0.3502 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
166
+ | 0.004 | 36.0 | 324 | 0.3509 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
167
+ | 0.0039 | 36.3333 | 327 | 0.3519 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
168
+ | 0.0039 | 36.6667 | 330 | 0.3527 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
169
+ | 0.0037 | 37.0 | 333 | 0.3536 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
170
+ | 0.0037 | 37.3333 | 336 | 0.3543 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
171
+ | 0.0036 | 37.6667 | 339 | 0.3550 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
172
+ | 0.0036 | 38.0 | 342 | 0.3558 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
173
+ | 0.0034 | 38.3333 | 345 | 0.3564 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
174
+ | 0.0035 | 38.6667 | 348 | 0.3570 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
175
+ | 0.0036 | 39.0 | 351 | 0.3579 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
176
+ | 0.0035 | 39.3333 | 354 | 0.3590 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
177
+ | 0.0034 | 39.6667 | 357 | 0.3601 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
178
+ | 0.0031 | 40.0 | 360 | 0.3609 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
179
+ | 0.0032 | 40.3333 | 363 | 0.3616 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
180
+ | 0.0031 | 40.6667 | 366 | 0.3621 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
181
+ | 0.0033 | 41.0 | 369 | 0.3629 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
182
+ | 0.0031 | 41.3333 | 372 | 0.3638 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
183
+ | 0.0031 | 41.6667 | 375 | 0.3648 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
184
+ | 0.0031 | 42.0 | 378 | 0.3655 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
185
+ | 0.003 | 42.3333 | 381 | 0.3660 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
186
+ | 0.0029 | 42.6667 | 384 | 0.3666 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
187
+ | 0.003 | 43.0 | 387 | 0.3672 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
188
+ | 0.0029 | 43.3333 | 390 | 0.3681 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
189
+ | 0.0027 | 43.6667 | 393 | 0.3689 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
190
+ | 0.0027 | 44.0 | 396 | 0.3696 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
191
+ | 0.0028 | 44.3333 | 399 | 0.3703 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
192
+ | 0.0028 | 44.6667 | 402 | 0.3709 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
193
+ | 0.0026 | 45.0 | 405 | 0.3715 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
194
+ | 0.0027 | 45.3333 | 408 | 0.3721 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
195
+ | 0.0027 | 45.6667 | 411 | 0.3729 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
196
+ | 0.0026 | 46.0 | 414 | 0.3735 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
197
+ | 0.0026 | 46.3333 | 417 | 0.3741 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
198
+ | 0.0026 | 46.6667 | 420 | 0.3747 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
199
+ | 0.0025 | 47.0 | 423 | 0.3752 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
200
+ | 0.0025 | 47.3333 | 426 | 0.3758 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
201
+ | 0.0024 | 47.6667 | 429 | 0.3763 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
202
+ | 0.0024 | 48.0 | 432 | 0.3769 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
203
+ | 0.0024 | 48.3333 | 435 | 0.3776 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
204
+ | 0.0024 | 48.6667 | 438 | 0.3781 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
205
+ | 0.0022 | 49.0 | 441 | 0.3787 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
206
+ | 0.0025 | 49.3333 | 444 | 0.3793 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
207
+ | 0.0023 | 49.6667 | 447 | 0.3799 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
208
+ | 0.0023 | 50.0 | 450 | 0.3805 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
209
+ | 0.0023 | 50.3333 | 453 | 0.3811 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
210
+ | 0.0023 | 50.6667 | 456 | 0.3817 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
211
+ | 0.0023 | 51.0 | 459 | 0.3823 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
212
+ | 0.0023 | 51.3333 | 462 | 0.3828 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
213
+ | 0.0022 | 51.6667 | 465 | 0.3833 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
214
+ | 0.0022 | 52.0 | 468 | 0.3839 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
215
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216
+ | 0.0021 | 52.6667 | 474 | 0.3850 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
217
+ | 0.0022 | 53.0 | 477 | 0.3856 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
218
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219
+ | 0.0021 | 53.6667 | 483 | 0.3864 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
220
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221
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222
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223
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224
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225
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226
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227
+ | 0.002 | 56.3333 | 507 | 0.3905 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
228
+ | 0.0019 | 56.6667 | 510 | 0.3910 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
229
+ | 0.002 | 57.0 | 513 | 0.3915 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
230
+ | 0.0019 | 57.3333 | 516 | 0.3919 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
231
+ | 0.002 | 57.6667 | 519 | 0.3924 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
232
+ | 0.002 | 58.0 | 522 | 0.3929 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
233
+ | 0.0019 | 58.3333 | 525 | 0.3933 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
234
+ | 0.0018 | 58.6667 | 528 | 0.3938 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
235
+ | 0.0018 | 59.0 | 531 | 0.3942 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
236
+ | 0.0018 | 59.3333 | 534 | 0.3946 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
237
+ | 0.0019 | 59.6667 | 537 | 0.3950 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
238
+ | 0.0019 | 60.0 | 540 | 0.3954 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
239
+ | 0.0018 | 60.3333 | 543 | 0.3958 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
240
+ | 0.0018 | 60.6667 | 546 | 0.3962 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
241
+ | 0.0017 | 61.0 | 549 | 0.3966 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
242
+ | 0.0018 | 61.3333 | 552 | 0.3969 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
243
+ | 0.0018 | 61.6667 | 555 | 0.3973 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
244
+ | 0.0018 | 62.0 | 558 | 0.3977 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
245
+ | 0.0018 | 62.3333 | 561 | 0.3981 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
246
+ | 0.0017 | 62.6667 | 564 | 0.3984 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
247
+ | 0.0017 | 63.0 | 567 | 0.3988 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
248
+ | 0.0018 | 63.3333 | 570 | 0.3991 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
249
+ | 0.0017 | 63.6667 | 573 | 0.3995 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
250
+ | 0.0017 | 64.0 | 576 | 0.3998 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
251
+ | 0.0017 | 64.3333 | 579 | 0.4002 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
252
+ | 0.0016 | 64.6667 | 582 | 0.4005 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
253
+ | 0.0017 | 65.0 | 585 | 0.4008 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
254
+ | 0.0017 | 65.3333 | 588 | 0.4011 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
255
+ | 0.0017 | 65.6667 | 591 | 0.4015 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
256
+ | 0.0016 | 66.0 | 594 | 0.4018 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
257
+ | 0.0016 | 66.3333 | 597 | 0.4022 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
258
+ | 0.0016 | 66.6667 | 600 | 0.4024 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
259
+ | 0.0017 | 67.0 | 603 | 0.4028 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
260
+ | 0.0016 | 67.3333 | 606 | 0.4031 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
261
+ | 0.0017 | 67.6667 | 609 | 0.4034 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
262
+ | 0.0017 | 68.0 | 612 | 0.4037 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
263
+ | 0.0017 | 68.3333 | 615 | 0.4040 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
264
+ | 0.0017 | 68.6667 | 618 | 0.4044 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
265
+ | 0.0016 | 69.0 | 621 | 0.4047 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
266
+ | 0.0015 | 69.3333 | 624 | 0.4050 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
267
+ | 0.0015 | 69.6667 | 627 | 0.4052 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
268
+ | 0.0015 | 70.0 | 630 | 0.4055 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
269
+ | 0.0015 | 70.3333 | 633 | 0.4058 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
270
+ | 0.0016 | 70.6667 | 636 | 0.4060 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
271
+ | 0.0016 | 71.0 | 639 | 0.4063 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
272
+ | 0.0016 | 71.3333 | 642 | 0.4066 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
273
+ | 0.0015 | 71.6667 | 645 | 0.4068 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
274
+ | 0.0015 | 72.0 | 648 | 0.4071 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
275
+ | 0.0015 | 72.3333 | 651 | 0.4073 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
276
+ | 0.0015 | 72.6667 | 654 | 0.4076 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
277
+ | 0.0015 | 73.0 | 657 | 0.4078 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
278
+ | 0.0015 | 73.3333 | 660 | 0.4080 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
279
+ | 0.0015 | 73.6667 | 663 | 0.4083 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
280
+ | 0.0014 | 74.0 | 666 | 0.4086 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
281
+ | 0.0015 | 74.3333 | 669 | 0.4088 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
282
+ | 0.0015 | 74.6667 | 672 | 0.4090 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
283
+ | 0.0015 | 75.0 | 675 | 0.4092 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
284
+ | 0.0014 | 75.3333 | 678 | 0.4095 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
285
+ | 0.0015 | 75.6667 | 681 | 0.4097 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
286
+ | 0.0015 | 76.0 | 684 | 0.4099 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
287
+ | 0.0014 | 76.3333 | 687 | 0.4101 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
288
+ | 0.0015 | 76.6667 | 690 | 0.4103 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
289
+ | 0.0014 | 77.0 | 693 | 0.4105 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
290
+ | 0.0015 | 77.3333 | 696 | 0.4107 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
291
+ | 0.0014 | 77.6667 | 699 | 0.4109 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
292
+ | 0.0015 | 78.0 | 702 | 0.4112 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
293
+ | 0.0014 | 78.3333 | 705 | 0.4114 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
294
+ | 0.0014 | 78.6667 | 708 | 0.4116 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
295
+ | 0.0014 | 79.0 | 711 | 0.4118 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
296
+ | 0.0014 | 79.3333 | 714 | 0.4120 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
297
+ | 0.0014 | 79.6667 | 717 | 0.4122 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
298
+ | 0.0014 | 80.0 | 720 | 0.4124 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
299
+ | 0.0014 | 80.3333 | 723 | 0.4126 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
300
+ | 0.0014 | 80.6667 | 726 | 0.4128 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
301
+ | 0.0014 | 81.0 | 729 | 0.4129 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
302
+ | 0.0014 | 81.3333 | 732 | 0.4131 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
303
+ | 0.0013 | 81.6667 | 735 | 0.4133 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
304
+ | 0.0015 | 82.0 | 738 | 0.4135 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
305
+ | 0.0014 | 82.3333 | 741 | 0.4136 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
306
+ | 0.0013 | 82.6667 | 744 | 0.4138 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
307
+ | 0.0013 | 83.0 | 747 | 0.4139 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
308
+ | 0.0013 | 83.3333 | 750 | 0.4141 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
309
+ | 0.0013 | 83.6667 | 753 | 0.4142 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
310
+ | 0.0013 | 84.0 | 756 | 0.4144 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
311
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312
+ | 0.0014 | 84.6667 | 762 | 0.4147 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
313
+ | 0.0015 | 85.0 | 765 | 0.4148 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
314
+ | 0.0014 | 85.3333 | 768 | 0.4149 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
315
+ | 0.0013 | 85.6667 | 771 | 0.4151 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
316
+ | 0.0013 | 86.0 | 774 | 0.4152 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
317
+ | 0.0013 | 86.3333 | 777 | 0.4153 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
318
+ | 0.0014 | 86.6667 | 780 | 0.4154 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
319
+ | 0.0012 | 87.0 | 783 | 0.4156 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
320
+ | 0.0013 | 87.3333 | 786 | 0.4157 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
321
+ | 0.0013 | 87.6667 | 789 | 0.4158 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
322
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323
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324
+ | 0.0013 | 88.6667 | 798 | 0.4161 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
325
+ | 0.0013 | 89.0 | 801 | 0.4162 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
326
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327
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328
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329
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330
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331
+ | 0.0013 | 91.0 | 819 | 0.4168 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
332
+ | 0.0013 | 91.3333 | 822 | 0.4169 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
333
+ | 0.0013 | 91.6667 | 825 | 0.4170 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
334
+ | 0.0013 | 92.0 | 828 | 0.4170 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
335
+ | 0.0013 | 92.3333 | 831 | 0.4171 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
336
+ | 0.0013 | 92.6667 | 834 | 0.4172 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
337
+ | 0.0013 | 93.0 | 837 | 0.4172 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
338
+ | 0.0013 | 93.3333 | 840 | 0.4173 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
339
+ | 0.0013 | 93.6667 | 843 | 0.4174 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
340
+ | 0.0013 | 94.0 | 846 | 0.4174 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
341
+ | 0.0013 | 94.3333 | 849 | 0.4175 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
342
+ | 0.0013 | 94.6667 | 852 | 0.4175 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
343
+ | 0.0012 | 95.0 | 855 | 0.4176 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
344
+ | 0.0013 | 95.3333 | 858 | 0.4176 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
345
+ | 0.0012 | 95.6667 | 861 | 0.4177 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
346
+ | 0.0014 | 96.0 | 864 | 0.4177 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
347
+ | 0.0013 | 96.3333 | 867 | 0.4178 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
348
+ | 0.0013 | 96.6667 | 870 | 0.4178 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
349
+ | 0.0013 | 97.0 | 873 | 0.4178 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
350
+ | 0.0013 | 97.3333 | 876 | 0.4179 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
351
+ | 0.0012 | 97.6667 | 879 | 0.4179 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
352
+ | 0.0013 | 98.0 | 882 | 0.4179 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
353
+ | 0.0013 | 98.3333 | 885 | 0.4179 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
354
+ | 0.0013 | 98.6667 | 888 | 0.4179 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
355
+ | 0.0012 | 99.0 | 891 | 0.4179 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
356
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357
+ | 0.0013 | 99.6667 | 897 | 0.4180 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
358
+ | 0.0013 | 100.0 | 900 | 0.4180 | 0.9333 | 0.9333 | 0.9333 | 0.9333 |
359
 
360
 
361
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