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childes-segmentation-800k-2-gpt2_lm-model

Text Generation
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gpt2
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Generated from Trainer
text-generation-inference
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codebyzeb commited on
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Final model for experiment Icelandic

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  1. README.md +55 -55
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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  tags:
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- - Mandarin
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  - generated_from_trainer
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  model-index:
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  - name: childes-segmentation-800k-2-gpt2_lm-model
@@ -15,50 +15,50 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5104
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- - Model Preparation Time: 0.0009
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- - Perplexity: 12.3102
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- - Bpc: 3.6218
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- - Spike Seg Type Fscore Entropy: 0.2958
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- - Spike Seg Boundary Fscore Entropy: 0.6622
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- - Absolute Seg Type Fscore Entropy: 0.2923
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- - Absolute Seg Boundary Fscore Entropy: 0.6129
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- - Spike Seg Type Fscore Increase in entropy: 0.3065
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- - Spike Seg Boundary Fscore Increase in entropy: 0.6850
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- - Absolute Seg Type Fscore Increase in entropy: 0.3153
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- - Absolute Seg Boundary Fscore Increase in entropy: 0.6905
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- - Spike Seg Type Fscore Loss: 0.2557
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- - Spike Seg Boundary Fscore Loss: 0.6163
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- - Absolute Seg Type Fscore Loss: 0.2534
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- - Absolute Seg Boundary Fscore Loss: 0.6137
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- - Spike Seg Type Fscore Increase in loss: 0.3178
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- - Spike Seg Boundary Fscore Increase in loss: 0.6745
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- - Absolute Seg Type Fscore Increase in loss: 0.3106
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- - Absolute Seg Boundary Fscore Increase in loss: 0.6749
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- - Spike Seg Type Fscore Rank: 0.3197
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- - Spike Seg Boundary Fscore Rank: 0.6679
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- - Absolute Seg Type Fscore Rank: 0.2912
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- - Absolute Seg Boundary Fscore Rank: 0.6228
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- - Spike Seg Type Fscore Increase in rank: 0.3705
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- - Spike Seg Boundary Fscore Increase in rank: 0.7197
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- - Absolute Seg Type Fscore Increase in rank: 0.3654
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- - Absolute Seg Boundary Fscore Increase in rank: 0.7058
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- - Spike Seg Type Fscore Boundary prediction: 0.4786
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- - Spike Seg Boundary Fscore Boundary prediction: 0.8160
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- - Absolute Seg Type Fscore Boundary prediction: 0.4629
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- - Absolute Seg Boundary Fscore Boundary prediction: 0.8357
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- - Spike Seg Type Fscore Increase in boundary prediction: 0.4793
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- - Spike Seg Boundary Fscore Increase in boundary prediction: 0.8216
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- - Absolute Seg Type Fscore Increase in boundary prediction: 0.4583
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- - Absolute Seg Boundary Fscore Increase in boundary prediction: 0.8403
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- - Spike Seg Type Fscore Majority vote cutoff: 0.4593
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- - Spike Seg Type Fscore Majority vote spike: 0.4121
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- - Absolute Seg Type Fscore Majority vote cutoff: 0.4393
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- - Absolute Seg Type Fscore Majority vote spike: 0.4372
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- - Spike Seg Boundary Fscore Majority vote cutoff: 0.8217
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- - Spike Seg Boundary Fscore Majority vote spike: 0.7648
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- - Absolute Seg Boundary Fscore Majority vote cutoff: 0.8064
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- - Absolute Seg Boundary Fscore Majority vote spike: 0.7813
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  ## Model description
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@@ -90,16 +90,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Perplexity | Bpc | Spike Seg Type Fscore Entropy | Spike Seg Boundary Fscore Entropy | Absolute Seg Type Fscore Entropy | Absolute Seg Boundary Fscore Entropy | Spike Seg Type Fscore Increase in entropy | Spike Seg Boundary Fscore Increase in entropy | Absolute Seg Type Fscore Increase in entropy | Absolute Seg Boundary Fscore Increase in entropy | Spike Seg Type Fscore Loss | Spike Seg Boundary Fscore Loss | Absolute Seg Type Fscore Loss | Absolute Seg Boundary Fscore Loss | Spike Seg Type Fscore Increase in loss | Spike Seg Boundary Fscore Increase in loss | Absolute Seg Type Fscore Increase in loss | Absolute Seg Boundary Fscore Increase in loss | Spike Seg Type Fscore Rank | Spike Seg Boundary Fscore Rank | Absolute Seg Type Fscore Rank | Absolute Seg Boundary Fscore Rank | Spike Seg Type Fscore Increase in rank | Spike Seg Boundary Fscore Increase in rank | Absolute Seg Type Fscore Increase in rank | Absolute Seg Boundary Fscore Increase in rank | Spike Seg Type Fscore Boundary prediction | Spike Seg Boundary Fscore Boundary prediction | Absolute Seg Type Fscore Boundary prediction | Absolute Seg Boundary Fscore Boundary prediction | Spike Seg Type Fscore Increase in boundary prediction | Spike Seg Boundary Fscore Increase in boundary prediction | Absolute Seg Type Fscore Increase in boundary prediction | Absolute Seg Boundary Fscore Increase in boundary prediction | Spike Seg Type Fscore Majority vote cutoff | Spike Seg Type Fscore Majority vote spike | Absolute Seg Type Fscore Majority vote cutoff | Absolute Seg Type Fscore Majority vote spike | Spike Seg Boundary Fscore Majority vote cutoff | Spike Seg Boundary Fscore Majority vote spike | Absolute Seg Boundary Fscore Majority vote cutoff | Absolute Seg Boundary Fscore Majority vote spike |
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  |:-------------:|:---------:|:------:|:---------------:|:----------------------:|:----------:|:------:|:-----------------------------:|:---------------------------------:|:--------------------------------:|:------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:-----------------------------------------------------:|:---------------------------------------------------------:|:--------------------------------------------------------:|:------------------------------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:----------------------------------------------:|:---------------------------------------------:|:-------------------------------------------------:|:------------------------------------------------:|
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- | 1.6809 | 444.4444 | 20000 | 1.9295 | 0.0009 | 6.8862 | 2.7837 | 0.3986 | 0.7732 | 0.4024 | 0.7215 | 0.3860 | 0.7677 | 0.4026 | 0.7705 | 0.2595 | 0.6370 | 0.2767 | 0.6368 | 0.3193 | 0.7003 | 0.3248 | 0.6988 | 0.3317 | 0.6733 | 0.2800 | 0.6192 | 0.3716 | 0.7117 | 0.3554 | 0.7009 | 0.4792 | 0.8147 | 0.4554 | 0.8402 | 0.4746 | 0.8183 | 0.4962 | 0.8412 | 0.5105 | 0.4528 | 0.5083 | 0.4667 | 0.8399 | 0.7847 | 0.8382 | 0.8078 |
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- | 1.3944 | 888.8889 | 40000 | 2.0677 | 0.0009 | 7.9066 | 2.9831 | 0.3570 | 0.7333 | 0.3514 | 0.6798 | 0.3684 | 0.7432 | 0.3842 | 0.7485 | 0.2657 | 0.6326 | 0.2794 | 0.6307 | 0.3178 | 0.6937 | 0.3356 | 0.7011 | 0.3220 | 0.6740 | 0.2898 | 0.6258 | 0.3743 | 0.7190 | 0.3718 | 0.7096 | 0.4800 | 0.8141 | 0.4489 | 0.8429 | 0.4788 | 0.8189 | 0.5069 | 0.8440 | 0.4942 | 0.4214 | 0.4938 | 0.4524 | 0.8374 | 0.7764 | 0.8372 | 0.7984 |
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- | 1.2837 | 1333.3333 | 60000 | 2.1869 | 0.0009 | 8.9074 | 3.1550 | 0.3343 | 0.7044 | 0.3242 | 0.6498 | 0.3379 | 0.7287 | 0.3397 | 0.7159 | 0.2527 | 0.6125 | 0.2821 | 0.6215 | 0.3112 | 0.6760 | 0.3277 | 0.6778 | 0.3177 | 0.6599 | 0.2870 | 0.6220 | 0.3675 | 0.7108 | 0.3511 | 0.6948 | 0.4754 | 0.8168 | 0.3578 | 0.8435 | 0.4785 | 0.8214 | 0.4780 | 0.8426 | 0.4797 | 0.4166 | 0.4514 | 0.4465 | 0.8309 | 0.7741 | 0.8172 | 0.7895 |
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- | 1.1905 | 1777.7778 | 80000 | 2.2815 | 0.0009 | 9.7913 | 3.2915 | 0.3210 | 0.6982 | 0.3217 | 0.6336 | 0.3353 | 0.7188 | 0.3473 | 0.7176 | 0.2554 | 0.6157 | 0.2810 | 0.6182 | 0.3143 | 0.6810 | 0.3137 | 0.6856 | 0.3193 | 0.6693 | 0.2889 | 0.6220 | 0.3809 | 0.7182 | 0.3528 | 0.7055 | 0.4796 | 0.8155 | 0.4598 | 0.8373 | 0.4794 | 0.8190 | 0.4887 | 0.8419 | 0.4833 | 0.4179 | 0.4561 | 0.4403 | 0.8293 | 0.7724 | 0.8189 | 0.7860 |
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- | 1.1381 | 2222.2222 | 100000 | 2.3370 | 0.0009 | 10.3503 | 3.3716 | 0.3112 | 0.6906 | 0.2883 | 0.6389 | 0.3320 | 0.7110 | 0.3547 | 0.7136 | 0.2525 | 0.6118 | 0.2423 | 0.6159 | 0.3049 | 0.6712 | 0.3131 | 0.6824 | 0.3229 | 0.6668 | 0.2882 | 0.6223 | 0.3593 | 0.7136 | 0.3581 | 0.7023 | 0.4796 | 0.8163 | 0.4384 | 0.8394 | 0.4781 | 0.8196 | 0.4499 | 0.8416 | 0.4684 | 0.4153 | 0.4279 | 0.4444 | 0.8269 | 0.7687 | 0.8251 | 0.7836 |
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- | 1.1027 | 2666.6667 | 120000 | 2.4068 | 0.0009 | 11.0986 | 3.4723 | 0.3138 | 0.6758 | 0.3172 | 0.6240 | 0.3197 | 0.7015 | 0.3227 | 0.7057 | 0.2600 | 0.6154 | 0.2866 | 0.6160 | 0.3086 | 0.6741 | 0.3179 | 0.6852 | 0.3231 | 0.6694 | 0.2974 | 0.6247 | 0.3662 | 0.7168 | 0.3552 | 0.7035 | 0.4796 | 0.8178 | 0.4437 | 0.8396 | 0.4784 | 0.8218 | 0.4711 | 0.8414 | 0.4818 | 0.4059 | 0.4482 | 0.4428 | 0.8262 | 0.7669 | 0.8199 | 0.7833 |
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- | 1.0774 | 3111.1111 | 140000 | 2.4388 | 0.0009 | 11.4590 | 3.5184 | 0.3095 | 0.6701 | 0.3085 | 0.6176 | 0.3198 | 0.6976 | 0.3243 | 0.6970 | 0.2598 | 0.6170 | 0.2640 | 0.6166 | 0.3016 | 0.6729 | 0.3101 | 0.6854 | 0.3186 | 0.6677 | 0.2872 | 0.6224 | 0.3711 | 0.7206 | 0.3572 | 0.7064 | 0.4780 | 0.8168 | 0.4855 | 0.8390 | 0.4847 | 0.8222 | 0.4513 | 0.8368 | 0.4706 | 0.4155 | 0.4308 | 0.4456 | 0.8237 | 0.7699 | 0.8127 | 0.7862 |
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- | 1.0539 | 3555.5556 | 160000 | 2.4725 | 0.0009 | 11.8523 | 3.5671 | 0.2968 | 0.6667 | 0.3079 | 0.6147 | 0.3074 | 0.6918 | 0.3176 | 0.6938 | 0.2581 | 0.6183 | 0.2662 | 0.6167 | 0.3139 | 0.6738 | 0.3218 | 0.6863 | 0.3143 | 0.6679 | 0.2939 | 0.6229 | 0.3674 | 0.7199 | 0.3659 | 0.7042 | 0.4751 | 0.8156 | 0.3814 | 0.8392 | 0.4819 | 0.8221 | 0.4460 | 0.8365 | 0.4543 | 0.4215 | 0.4394 | 0.4409 | 0.8208 | 0.7669 | 0.8164 | 0.7857 |
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- | 1.0359 | 4000.0 | 180000 | 2.4957 | 0.0009 | 12.1296 | 3.6005 | 0.2947 | 0.6622 | 0.3012 | 0.6138 | 0.3045 | 0.6882 | 0.3321 | 0.6904 | 0.2557 | 0.6172 | 0.2741 | 0.6130 | 0.3142 | 0.6739 | 0.3237 | 0.6815 | 0.3253 | 0.6685 | 0.3031 | 0.6217 | 0.3716 | 0.7210 | 0.3695 | 0.7053 | 0.4788 | 0.8165 | 0.4546 | 0.8359 | 0.4817 | 0.8219 | 0.4468 | 0.8340 | 0.4692 | 0.4099 | 0.4539 | 0.4388 | 0.8237 | 0.7638 | 0.8124 | 0.7833 |
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- | 1.0217 | 4444.4444 | 200000 | 2.5104 | 0.0009 | 12.3102 | 3.6218 | 0.2958 | 0.6622 | 0.2923 | 0.6129 | 0.3065 | 0.6850 | 0.3153 | 0.6905 | 0.2557 | 0.6163 | 0.2534 | 0.6137 | 0.3178 | 0.6745 | 0.3106 | 0.6749 | 0.3197 | 0.6679 | 0.2912 | 0.6228 | 0.3705 | 0.7197 | 0.3654 | 0.7058 | 0.4786 | 0.8160 | 0.4629 | 0.8357 | 0.4793 | 0.8216 | 0.4583 | 0.8403 | 0.4593 | 0.4121 | 0.4393 | 0.4372 | 0.8217 | 0.7648 | 0.8064 | 0.7813 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  tags:
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+ - Icelandic
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  - generated_from_trainer
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  model-index:
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  - name: childes-segmentation-800k-2-gpt2_lm-model
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2460
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+ - Model Preparation Time: 0.001
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+ - Perplexity: 9.4500
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+ - Bpc: 3.2403
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+ - Spike Seg Type Fscore Entropy: 0.2303
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+ - Spike Seg Boundary Fscore Entropy: 0.5593
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+ - Absolute Seg Type Fscore Entropy: 0.2397
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+ - Absolute Seg Boundary Fscore Entropy: 0.5432
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+ - Spike Seg Type Fscore Increase in entropy: 0.2424
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+ - Spike Seg Boundary Fscore Increase in entropy: 0.5871
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+ - Absolute Seg Type Fscore Increase in entropy: 0.3028
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+ - Absolute Seg Boundary Fscore Increase in entropy: 0.6192
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+ - Spike Seg Type Fscore Loss: 0.2182
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+ - Spike Seg Boundary Fscore Loss: 0.5346
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+ - Absolute Seg Type Fscore Loss: 0.2164
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+ - Absolute Seg Boundary Fscore Loss: 0.5303
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+ - Spike Seg Type Fscore Increase in loss: 0.2506
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+ - Spike Seg Boundary Fscore Increase in loss: 0.5872
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+ - Absolute Seg Type Fscore Increase in loss: 0.2840
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+ - Absolute Seg Boundary Fscore Increase in loss: 0.6214
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+ - Spike Seg Type Fscore Rank: 0.2748
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+ - Spike Seg Boundary Fscore Rank: 0.5650
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+ - Absolute Seg Type Fscore Rank: 0.2565
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+ - Absolute Seg Boundary Fscore Rank: 0.5475
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+ - Spike Seg Type Fscore Increase in rank: 0.3064
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+ - Spike Seg Boundary Fscore Increase in rank: 0.6272
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+ - Absolute Seg Type Fscore Increase in rank: 0.3508
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+ - Absolute Seg Boundary Fscore Increase in rank: 0.6405
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+ - Spike Seg Type Fscore Boundary prediction: 0.3026
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+ - Spike Seg Boundary Fscore Boundary prediction: 0.6885
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+ - Absolute Seg Type Fscore Boundary prediction: 0.3387
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+ - Absolute Seg Boundary Fscore Boundary prediction: 0.6690
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+ - Spike Seg Type Fscore Increase in boundary prediction: 0.2865
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+ - Spike Seg Boundary Fscore Increase in boundary prediction: 0.6711
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+ - Absolute Seg Type Fscore Increase in boundary prediction: 0.3390
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+ - Absolute Seg Boundary Fscore Increase in boundary prediction: 0.6869
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+ - Spike Seg Type Fscore Majority vote cutoff: 0.3724
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+ - Spike Seg Type Fscore Majority vote spike: 0.2526
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+ - Absolute Seg Type Fscore Majority vote cutoff: 0.3758
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+ - Absolute Seg Type Fscore Majority vote spike: 0.3480
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+ - Spike Seg Boundary Fscore Majority vote cutoff: 0.7024
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+ - Spike Seg Boundary Fscore Majority vote spike: 0.6156
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+ - Absolute Seg Boundary Fscore Majority vote cutoff: 0.6946
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+ - Absolute Seg Boundary Fscore Majority vote spike: 0.6919
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Perplexity | Bpc | Spike Seg Type Fscore Entropy | Spike Seg Boundary Fscore Entropy | Absolute Seg Type Fscore Entropy | Absolute Seg Boundary Fscore Entropy | Spike Seg Type Fscore Increase in entropy | Spike Seg Boundary Fscore Increase in entropy | Absolute Seg Type Fscore Increase in entropy | Absolute Seg Boundary Fscore Increase in entropy | Spike Seg Type Fscore Loss | Spike Seg Boundary Fscore Loss | Absolute Seg Type Fscore Loss | Absolute Seg Boundary Fscore Loss | Spike Seg Type Fscore Increase in loss | Spike Seg Boundary Fscore Increase in loss | Absolute Seg Type Fscore Increase in loss | Absolute Seg Boundary Fscore Increase in loss | Spike Seg Type Fscore Rank | Spike Seg Boundary Fscore Rank | Absolute Seg Type Fscore Rank | Absolute Seg Boundary Fscore Rank | Spike Seg Type Fscore Increase in rank | Spike Seg Boundary Fscore Increase in rank | Absolute Seg Type Fscore Increase in rank | Absolute Seg Boundary Fscore Increase in rank | Spike Seg Type Fscore Boundary prediction | Spike Seg Boundary Fscore Boundary prediction | Absolute Seg Type Fscore Boundary prediction | Absolute Seg Boundary Fscore Boundary prediction | Spike Seg Type Fscore Increase in boundary prediction | Spike Seg Boundary Fscore Increase in boundary prediction | Absolute Seg Type Fscore Increase in boundary prediction | Absolute Seg Boundary Fscore Increase in boundary prediction | Spike Seg Type Fscore Majority vote cutoff | Spike Seg Type Fscore Majority vote spike | Absolute Seg Type Fscore Majority vote cutoff | Absolute Seg Type Fscore Majority vote spike | Spike Seg Boundary Fscore Majority vote cutoff | Spike Seg Boundary Fscore Majority vote spike | Absolute Seg Boundary Fscore Majority vote cutoff | Absolute Seg Boundary Fscore Majority vote spike |
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  |:-------------:|:---------:|:------:|:---------------:|:----------------------:|:----------:|:------:|:-----------------------------:|:---------------------------------:|:--------------------------------:|:------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:-----------------------------------------------------:|:---------------------------------------------------------:|:--------------------------------------------------------:|:------------------------------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:----------------------------------------------:|:---------------------------------------------:|:-------------------------------------------------:|:------------------------------------------------:|
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+ | 1.6175 | 444.4444 | 20000 | 1.7489 | 0.001 | 5.7482 | 2.5231 | 0.2642 | 0.5919 | 0.2665 | 0.5212 | 0.2701 | 0.6304 | 0.3317 | 0.6752 | 0.2459 | 0.5798 | 0.2255 | 0.5519 | 0.2756 | 0.6264 | 0.3518 | 0.6567 | 0.2887 | 0.5745 | 0.2524 | 0.5439 | 0.3089 | 0.6256 | 0.3719 | 0.6428 | 0.3112 | 0.7031 | 0.3370 | 0.6692 | 0.2817 | 0.6834 | 0.3256 | 0.6855 | 0.3687 | 0.2712 | 0.4040 | 0.3713 | 0.7265 | 0.6378 | 0.6990 | 0.7175 |
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+ | 1.3535 | 888.8889 | 40000 | 1.8331 | 0.001 | 6.2535 | 2.6447 | 0.2568 | 0.6068 | 0.2685 | 0.5635 | 0.2546 | 0.6167 | 0.3321 | 0.6636 | 0.2374 | 0.5647 | 0.2188 | 0.5477 | 0.2687 | 0.6184 | 0.3092 | 0.6511 | 0.2917 | 0.5771 | 0.2692 | 0.5477 | 0.3131 | 0.6284 | 0.3652 | 0.6418 | 0.3154 | 0.7086 | 0.2492 | 0.6778 | 0.2914 | 0.6866 | 0.2307 | 0.6973 | 0.3841 | 0.2615 | 0.3394 | 0.3690 | 0.7287 | 0.6365 | 0.7182 | 0.7170 |
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+ | 1.2416 | 1333.3333 | 60000 | 1.9317 | 0.001 | 6.9010 | 2.7868 | 0.2597 | 0.5973 | 0.2527 | 0.5656 | 0.2615 | 0.6216 | 0.3329 | 0.6541 | 0.2222 | 0.5536 | 0.2141 | 0.5407 | 0.2630 | 0.6107 | 0.3004 | 0.6387 | 0.2718 | 0.5679 | 0.2517 | 0.5417 | 0.3100 | 0.6270 | 0.3521 | 0.6378 | 0.3130 | 0.7020 | 0.3357 | 0.6839 | 0.2865 | 0.6845 | 0.3476 | 0.7014 | 0.3781 | 0.2598 | 0.3827 | 0.3757 | 0.7260 | 0.6315 | 0.7076 | 0.7102 |
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+ | 1.1496 | 1777.7778 | 80000 | 2.0242 | 0.001 | 7.5700 | 2.9203 | 0.2538 | 0.5928 | 0.2672 | 0.5639 | 0.2558 | 0.6147 | 0.3395 | 0.6619 | 0.2188 | 0.5458 | 0.2236 | 0.5461 | 0.2595 | 0.6061 | 0.3043 | 0.6382 | 0.2788 | 0.5691 | 0.2566 | 0.5498 | 0.3118 | 0.6361 | 0.3734 | 0.6360 | 0.3065 | 0.7090 | 0.3638 | 0.6799 | 0.2927 | 0.6883 | 0.2263 | 0.7091 | 0.3803 | 0.2582 | 0.3775 | 0.3722 | 0.7319 | 0.6326 | 0.7140 | 0.7135 |
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+ | 1.0977 | 2222.2222 | 100000 | 2.0854 | 0.001 | 8.0482 | 3.0087 | 0.2400 | 0.5819 | 0.2511 | 0.5599 | 0.2444 | 0.6038 | 0.3223 | 0.6430 | 0.2132 | 0.5394 | 0.2151 | 0.5225 | 0.2579 | 0.5947 | 0.2917 | 0.6321 | 0.2708 | 0.5629 | 0.2540 | 0.5499 | 0.3128 | 0.6301 | 0.3585 | 0.6439 | 0.3066 | 0.6939 | 0.3616 | 0.6823 | 0.2861 | 0.6798 | 0.3569 | 0.6958 | 0.3720 | 0.2593 | 0.3859 | 0.3467 | 0.7174 | 0.6245 | 0.7012 | 0.6982 |
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+ | 1.0641 | 2666.6667 | 120000 | 2.1344 | 0.001 | 8.4523 | 3.0793 | 0.2390 | 0.5745 | 0.2466 | 0.5600 | 0.2452 | 0.6036 | 0.3256 | 0.6425 | 0.2195 | 0.5380 | 0.2149 | 0.5416 | 0.2536 | 0.5915 | 0.3000 | 0.6261 | 0.2710 | 0.5637 | 0.2416 | 0.5487 | 0.3226 | 0.6284 | 0.3565 | 0.6416 | 0.3004 | 0.6989 | 0.3601 | 0.6745 | 0.2835 | 0.6803 | 0.3514 | 0.6981 | 0.3692 | 0.2592 | 0.3760 | 0.3486 | 0.7128 | 0.6212 | 0.6914 | 0.7015 |
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+ | 1.0362 | 3111.1111 | 140000 | 2.1768 | 0.001 | 8.8182 | 3.1405 | 0.2350 | 0.5715 | 0.2417 | 0.5501 | 0.2420 | 0.5949 | 0.3085 | 0.6333 | 0.2163 | 0.5406 | 0.2176 | 0.5210 | 0.2509 | 0.5914 | 0.2868 | 0.6270 | 0.2794 | 0.5673 | 0.2535 | 0.5519 | 0.3070 | 0.6262 | 0.3482 | 0.6410 | 0.2950 | 0.6880 | 0.3238 | 0.6671 | 0.2837 | 0.6728 | 0.3423 | 0.6846 | 0.3639 | 0.2543 | 0.3627 | 0.3487 | 0.7100 | 0.6206 | 0.6951 | 0.6993 |
100
+ | 1.015 | 3555.5556 | 160000 | 2.2030 | 0.001 | 9.0517 | 3.1782 | 0.2322 | 0.5592 | 0.2485 | 0.5378 | 0.2412 | 0.5873 | 0.3023 | 0.6260 | 0.2133 | 0.5368 | 0.2127 | 0.5354 | 0.2474 | 0.5899 | 0.2989 | 0.6116 | 0.2769 | 0.5650 | 0.2562 | 0.5469 | 0.3076 | 0.6250 | 0.3541 | 0.6272 | 0.3050 | 0.6899 | 0.2633 | 0.6749 | 0.2817 | 0.6715 | 0.2196 | 0.6851 | 0.3431 | 0.2515 | 0.3319 | 0.3523 | 0.7134 | 0.6164 | 0.6674 | 0.6961 |
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+ | 0.9954 | 4000.0 | 180000 | 2.2326 | 0.001 | 9.3245 | 3.2210 | 0.2309 | 0.5631 | 0.2355 | 0.5352 | 0.2431 | 0.5881 | 0.3056 | 0.6252 | 0.2163 | 0.5366 | 0.2154 | 0.5347 | 0.2517 | 0.5891 | 0.2916 | 0.6247 | 0.2736 | 0.5629 | 0.2584 | 0.5451 | 0.3047 | 0.6260 | 0.3487 | 0.6354 | 0.3005 | 0.6886 | 0.3468 | 0.6719 | 0.2850 | 0.6693 | 0.3431 | 0.6886 | 0.3645 | 0.2563 | 0.3672 | 0.3460 | 0.7049 | 0.6166 | 0.6977 | 0.6912 |
102
+ | 0.9805 | 4444.4444 | 200000 | 2.2460 | 0.001 | 9.4500 | 3.2403 | 0.2303 | 0.5593 | 0.2397 | 0.5432 | 0.2424 | 0.5871 | 0.3028 | 0.6192 | 0.2182 | 0.5346 | 0.2164 | 0.5303 | 0.2506 | 0.5872 | 0.2840 | 0.6214 | 0.2748 | 0.5650 | 0.2565 | 0.5475 | 0.3064 | 0.6272 | 0.3508 | 0.6405 | 0.3026 | 0.6885 | 0.3387 | 0.6690 | 0.2865 | 0.6711 | 0.3390 | 0.6869 | 0.3724 | 0.2526 | 0.3758 | 0.3480 | 0.7024 | 0.6156 | 0.6946 | 0.6919 |
103
 
104
 
105
  ### Framework versions
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