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

Text Generation
Transformers
Safetensors
gpt2
English
Generated from Trainer
text-generation-inference
Model card Files Community
codebyzeb commited on
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3172457
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1 Parent(s): 63599e5

Final model for experiment English

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  1. README.md +54 -54
  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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- - 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
@@ -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: 2.2460
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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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@@ -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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- | 1.6175 | 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 |
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- | 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 |
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- | 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 |
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  ### Framework versions
 
1
  ---
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  library_name: transformers
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  tags:
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+ - English
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  - generated_from_trainer
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  model-index:
7
  - 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.
17
  It achieves the following results on the evaluation set:
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+ - Loss: 2.6290
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  - Model Preparation Time: 0.001
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+ - Perplexity: 13.8603
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+ - Bpc: 3.7929
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+ - Spike Seg Type Fscore Entropy: 0.2980
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+ - Spike Seg Boundary Fscore Entropy: 0.6260
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+ - Absolute Seg Type Fscore Entropy: 0.2485
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+ - Absolute Seg Boundary Fscore Entropy: 0.5617
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+ - Spike Seg Type Fscore Increase in entropy: 0.2963
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+ - Spike Seg Boundary Fscore Increase in entropy: 0.6503
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+ - Absolute Seg Type Fscore Increase in entropy: 0.3176
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+ - Absolute Seg Boundary Fscore Increase in entropy: 0.6553
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+ - Spike Seg Type Fscore Loss: 0.2602
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+ - Spike Seg Boundary Fscore Loss: 0.5793
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+ - Absolute Seg Type Fscore Loss: 0.2205
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+ - Absolute Seg Boundary Fscore Loss: 0.5444
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+ - Spike Seg Type Fscore Increase in loss: 0.3181
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+ - Spike Seg Boundary Fscore Increase in loss: 0.6476
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+ - Absolute Seg Type Fscore Increase in loss: 0.3157
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+ - Absolute Seg Boundary Fscore Increase in loss: 0.6526
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+ - Spike Seg Type Fscore Rank: 0.3241
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+ - Spike Seg Boundary Fscore Rank: 0.6053
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+ - Absolute Seg Type Fscore Rank: 0.2705
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+ - Absolute Seg Boundary Fscore Rank: 0.5571
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+ - Spike Seg Type Fscore Increase in rank: 0.3497
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+ - Spike Seg Boundary Fscore Increase in rank: 0.6572
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+ - Absolute Seg Type Fscore Increase in rank: 0.3818
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+ - Absolute Seg Boundary Fscore Increase in rank: 0.6636
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+ - Spike Seg Type Fscore Boundary prediction: 0.4136
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+ - Spike Seg Boundary Fscore Boundary prediction: 0.7427
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+ - Absolute Seg Type Fscore Boundary prediction: 0.2589
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+ - Absolute Seg Boundary Fscore Boundary prediction: 0.6639
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+ - Spike Seg Type Fscore Increase in boundary prediction: 0.3999
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+ - Spike Seg Boundary Fscore Increase in boundary prediction: 0.7307
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+ - Absolute Seg Type Fscore Increase in boundary prediction: 0.2801
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+ - Absolute Seg Boundary Fscore Increase in boundary prediction: 0.6821
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+ - Spike Seg Type Fscore Majority vote cutoff: 0.3951
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+ - Spike Seg Type Fscore Majority vote spike: 0.3563
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+ - Absolute Seg Type Fscore Majority vote cutoff: 0.3641
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+ - Absolute Seg Type Fscore Majority vote spike: 0.4161
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+ - Spike Seg Boundary Fscore Majority vote cutoff: 0.7457
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+ - Spike Seg Boundary Fscore Majority vote spike: 0.7125
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+ - Absolute Seg Boundary Fscore Majority vote cutoff: 0.7296
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+ - Absolute Seg Boundary Fscore Majority vote spike: 0.7315
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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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+ | 1.8651 | 454.5455 | 20000 | 2.0874 | 0.001 | 8.0640 | 3.0115 | 0.3263 | 0.6601 | 0.2752 | 0.5959 | 0.3176 | 0.6853 | 0.3379 | 0.6883 | 0.2959 | 0.6244 | 0.2416 | 0.5645 | 0.3535 | 0.6937 | 0.3706 | 0.6917 | 0.3132 | 0.6027 | 0.2718 | 0.5530 | 0.3514 | 0.6561 | 0.3839 | 0.6656 | 0.4018 | 0.7333 | 0.2765 | 0.6572 | 0.3782 | 0.7210 | 0.2325 | 0.6770 | 0.4298 | 0.3697 | 0.3931 | 0.4421 | 0.7635 | 0.7324 | 0.7376 | 0.7577 |
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+ | 1.5625 | 909.0909 | 40000 | 2.2034 | 0.001 | 9.0558 | 3.1788 | 0.3292 | 0.6672 | 0.2759 | 0.5938 | 0.3178 | 0.6859 | 0.3462 | 0.6900 | 0.2804 | 0.6049 | 0.2290 | 0.5588 | 0.3411 | 0.6775 | 0.3549 | 0.6742 | 0.3306 | 0.6113 | 0.2786 | 0.5473 | 0.3527 | 0.6563 | 0.3794 | 0.6638 | 0.4332 | 0.7623 | 0.3306 | 0.6813 | 0.3938 | 0.7449 | 0.3307 | 0.6991 | 0.4348 | 0.3605 | 0.4386 | 0.4414 | 0.7644 | 0.7272 | 0.7465 | 0.7593 |
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+ | 1.4479 | 1363.6364 | 60000 | 2.2910 | 0.001 | 9.8847 | 3.3052 | 0.3379 | 0.6655 | 0.2968 | 0.5959 | 0.3108 | 0.6807 | 0.3515 | 0.6793 | 0.2677 | 0.5957 | 0.2302 | 0.5620 | 0.3247 | 0.6691 | 0.3407 | 0.6509 | 0.3255 | 0.6078 | 0.2737 | 0.5456 | 0.3515 | 0.6599 | 0.3853 | 0.6667 | 0.4139 | 0.7547 | 0.2746 | 0.6873 | 0.3960 | 0.7465 | 0.2732 | 0.6972 | 0.4149 | 0.3549 | 0.3883 | 0.4265 | 0.7666 | 0.7283 | 0.7260 | 0.7569 |
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+ | 1.3536 | 1818.1818 | 80000 | 2.3933 | 0.001 | 10.9498 | 3.4528 | 0.3237 | 0.6546 | 0.2728 | 0.5732 | 0.3087 | 0.6780 | 0.3305 | 0.6815 | 0.2751 | 0.5899 | 0.2244 | 0.5547 | 0.3312 | 0.6673 | 0.3326 | 0.6629 | 0.3280 | 0.6094 | 0.2747 | 0.5556 | 0.3529 | 0.6600 | 0.3798 | 0.6670 | 0.4242 | 0.7535 | 0.2807 | 0.6809 | 0.4072 | 0.7436 | 0.2394 | 0.6733 | 0.4069 | 0.3614 | 0.3655 | 0.4342 | 0.7606 | 0.7249 | 0.7368 | 0.7543 |
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+ | 1.3014 | 2272.7273 | 100000 | 2.4635 | 0.001 | 11.7458 | 3.5541 | 0.3108 | 0.6408 | 0.2776 | 0.5602 | 0.2945 | 0.6651 | 0.3293 | 0.6602 | 0.2659 | 0.5809 | 0.2129 | 0.5521 | 0.3275 | 0.6579 | 0.3312 | 0.6590 | 0.3260 | 0.6072 | 0.2712 | 0.5478 | 0.3582 | 0.6605 | 0.3823 | 0.6654 | 0.4175 | 0.7463 | 0.2418 | 0.6713 | 0.3911 | 0.7370 | 0.2354 | 0.6848 | 0.4073 | 0.3650 | 0.3910 | 0.4225 | 0.7486 | 0.7195 | 0.7301 | 0.7445 |
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+ | 1.2661 | 2727.2727 | 120000 | 2.5116 | 0.001 | 12.3251 | 3.6235 | 0.3171 | 0.6384 | 0.2771 | 0.5690 | 0.3050 | 0.6623 | 0.3258 | 0.6648 | 0.2671 | 0.5845 | 0.2255 | 0.5534 | 0.3274 | 0.6581 | 0.3285 | 0.6596 | 0.3270 | 0.6098 | 0.2622 | 0.5563 | 0.3522 | 0.6595 | 0.3852 | 0.6691 | 0.4171 | 0.7536 | 0.2788 | 0.6714 | 0.3992 | 0.7411 | 0.3206 | 0.6836 | 0.4117 | 0.3537 | 0.4124 | 0.4199 | 0.7548 | 0.7194 | 0.7365 | 0.7439 |
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+ | 1.2387 | 3181.8182 | 140000 | 2.5537 | 0.001 | 12.8543 | 3.6842 | 0.3096 | 0.6350 | 0.2773 | 0.5630 | 0.2976 | 0.6584 | 0.3292 | 0.6500 | 0.2604 | 0.5838 | 0.2242 | 0.5480 | 0.3229 | 0.6534 | 0.3216 | 0.6523 | 0.3216 | 0.6063 | 0.2638 | 0.5582 | 0.3503 | 0.6558 | 0.3870 | 0.6656 | 0.4184 | 0.7477 | 0.3065 | 0.6704 | 0.3944 | 0.7349 | 0.3327 | 0.6848 | 0.4143 | 0.3538 | 0.4064 | 0.4294 | 0.7501 | 0.7155 | 0.7257 | 0.7391 |
100
+ | 1.218 | 3636.3636 | 160000 | 2.5832 | 0.001 | 13.2399 | 3.7268 | 0.3096 | 0.6375 | 0.2732 | 0.5688 | 0.2932 | 0.6570 | 0.3206 | 0.6599 | 0.2629 | 0.5810 | 0.2168 | 0.5485 | 0.3149 | 0.6505 | 0.3237 | 0.6538 | 0.3238 | 0.6074 | 0.2578 | 0.5455 | 0.3491 | 0.6577 | 0.3852 | 0.6656 | 0.4102 | 0.7414 | 0.2484 | 0.6490 | 0.3989 | 0.7304 | 0.3284 | 0.6682 | 0.4036 | 0.3518 | 0.3991 | 0.4169 | 0.7458 | 0.7165 | 0.7261 | 0.7354 |
101
+ | 1.1982 | 4090.9091 | 180000 | 2.6101 | 0.001 | 13.6006 | 3.7656 | 0.3080 | 0.6330 | 0.2704 | 0.5646 | 0.2936 | 0.6530 | 0.3202 | 0.6523 | 0.2598 | 0.5800 | 0.2208 | 0.5487 | 0.3212 | 0.6507 | 0.3008 | 0.6554 | 0.3275 | 0.6064 | 0.2645 | 0.5489 | 0.3539 | 0.6581 | 0.3863 | 0.6649 | 0.4104 | 0.7413 | 0.2051 | 0.6573 | 0.3963 | 0.7312 | 0.3284 | 0.6694 | 0.4041 | 0.3512 | 0.3855 | 0.4158 | 0.7443 | 0.7138 | 0.7224 | 0.7350 |
102
+ | 1.1838 | 4545.4545 | 200000 | 2.6290 | 0.001 | 13.8603 | 3.7929 | 0.2980 | 0.6260 | 0.2485 | 0.5617 | 0.2963 | 0.6503 | 0.3176 | 0.6553 | 0.2602 | 0.5793 | 0.2205 | 0.5444 | 0.3181 | 0.6476 | 0.3157 | 0.6526 | 0.3241 | 0.6053 | 0.2705 | 0.5571 | 0.3497 | 0.6572 | 0.3818 | 0.6636 | 0.4136 | 0.7427 | 0.2589 | 0.6639 | 0.3999 | 0.7307 | 0.2801 | 0.6821 | 0.3951 | 0.3563 | 0.3641 | 0.4161 | 0.7457 | 0.7125 | 0.7296 | 0.7315 |
103
 
104
 
105
  ### Framework versions
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