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distilbert-base-uncased-finetuned-ner-cadec-active

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distilbert
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@@ -20,58 +20,58 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3951
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- - Precision: 0.4203
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- - Recall: 0.3695
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- - F1: 0.3932
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- - Accuracy: 0.8804
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- - Adr Precision: 0.3174
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- - Adr Recall: 0.3081
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- - Adr F1: 0.3127
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  - Disease Precision: 0.0
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  - Disease Recall: 0.0
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  - Disease F1: 0.0
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- - Drug Precision: 0.7801
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- - Drug Recall: 0.7926
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- - Drug F1: 0.7863
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  - Finding Precision: 0.0
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  - Finding Recall: 0.0
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  - Finding F1: 0.0
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  - Symptom Precision: 0.0
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  - Symptom Recall: 0.0
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  - Symptom F1: 0.0
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- - B-adr Precision: 0.5866
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- - B-adr Recall: 0.2614
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- - B-adr F1: 0.3617
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  - B-disease Precision: 0.0
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  - B-disease Recall: 0.0
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  - B-disease F1: 0.0
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- - B-drug Precision: 0.9733
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- - B-drug Recall: 0.7766
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- - B-drug F1: 0.8639
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  - B-finding Precision: 0.0
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  - B-finding Recall: 0.0
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  - B-finding F1: 0.0
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  - B-symptom Precision: 0.0
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  - B-symptom Recall: 0.0
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  - B-symptom F1: 0.0
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- - I-adr Precision: 0.1839
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- - I-adr Recall: 0.1885
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- - I-adr F1: 0.1862
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  - I-disease Precision: 0.0
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  - I-disease Recall: 0.0
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  - I-disease F1: 0.0
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- - I-drug Precision: 0.7842
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- - I-drug Recall: 0.7968
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- - I-drug F1: 0.7905
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  - I-finding Precision: 0.0
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  - I-finding Recall: 0.0
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  - I-finding F1: 0.0
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  - I-symptom Precision: 0.0
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  - I-symptom Recall: 0.0
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  - I-symptom F1: 0.0
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- - Macro Avg F1: 0.2202
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- - Weighted Avg F1: 0.3697
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  ## Model description
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@@ -102,16 +102,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Adr Precision | Adr Recall | Adr F1 | Disease Precision | Disease Recall | Disease F1 | Drug Precision | Drug Recall | Drug F1 | Finding Precision | Finding Recall | Finding F1 | Symptom Precision | Symptom Recall | Symptom F1 | B-adr Precision | B-adr Recall | B-adr F1 | B-disease Precision | B-disease Recall | B-disease F1 | B-drug Precision | B-drug Recall | B-drug F1 | B-finding Precision | B-finding Recall | B-finding F1 | B-symptom Precision | B-symptom Recall | B-symptom F1 | I-adr Precision | I-adr Recall | I-adr F1 | I-disease Precision | I-disease Recall | I-disease F1 | I-drug Precision | I-drug Recall | I-drug F1 | I-finding Precision | I-finding Recall | I-finding F1 | I-symptom Precision | I-symptom Recall | I-symptom F1 | Macro Avg F1 | Weighted Avg F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|:------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------:|:-------:|:-----------------:|:--------------:|:----------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:------------:|:---------------:|
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- | No log | 1.0 | 16 | 0.8309 | 0.0 | 0.0 | 0.0 | 0.7876 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 32 | 0.5596 | 0.2429 | 0.1136 | 0.1548 | 0.8347 | 0.2429 | 0.1613 | 0.1939 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0678 | 0.0557 | 0.0611 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0061 | 0.0196 |
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- | No log | 3.0 | 48 | 0.4709 | 0.4262 | 0.2897 | 0.3449 | 0.8619 | 0.3035 | 0.2369 | 0.2661 | 0.0 | 0.0 | 0.0 | 0.9449 | 0.6383 | 0.7619 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1667 | 0.0016 | 0.0031 | 0.0 | 0.0 | 0.0 | 0.9843 | 0.6649 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0766 | 0.0736 | 0.0751 | 0.0 | 0.0 | 0.0 | 0.9677 | 0.6417 | 0.7717 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1644 | 0.1938 |
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- | No log | 4.0 | 64 | 0.4306 | 0.4111 | 0.3173 | 0.3582 | 0.8669 | 0.3033 | 0.2645 | 0.2826 | 0.0 | 0.0 | 0.0 | 0.8312 | 0.6809 | 0.7485 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2778 | 0.0079 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.9850 | 0.6968 | 0.8162 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0795 | 0.0844 | 0.0819 | 0.0 | 0.0 | 0.0 | 0.8831 | 0.7273 | 0.7977 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1711 | 0.2056 |
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- | No log | 5.0 | 80 | 0.4080 | 0.4043 | 0.3245 | 0.3600 | 0.8710 | 0.2985 | 0.2660 | 0.2813 | 0.0 | 0.0 | 0.0 | 0.7836 | 0.7128 | 0.7465 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4918 | 0.0472 | 0.0862 | 0.0 | 0.0 | 0.0 | 0.9779 | 0.7074 | 0.8210 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0875 | 0.0934 | 0.0904 | 0.0 | 0.0 | 0.0 | 0.8480 | 0.7754 | 0.8101 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1808 | 0.2360 |
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- | No log | 6.0 | 96 | 0.3996 | 0.4121 | 0.3429 | 0.3743 | 0.8730 | 0.3049 | 0.2805 | 0.2922 | 0.0 | 0.0 | 0.0 | 0.7889 | 0.7553 | 0.7717 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6058 | 0.1307 | 0.2150 | 0.0 | 0.0 | 0.0 | 0.9790 | 0.7447 | 0.8459 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1126 | 0.1203 | 0.1163 | 0.0 | 0.0 | 0.0 | 0.8111 | 0.7807 | 0.7956 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1973 | 0.2924 |
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- | No log | 7.0 | 112 | 0.3983 | 0.4229 | 0.3623 | 0.3903 | 0.8740 | 0.3158 | 0.2965 | 0.3058 | 0.0 | 0.0 | 0.0 | 0.7853 | 0.7979 | 0.7916 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6209 | 0.1496 | 0.2411 | 0.0 | 0.0 | 0.0 | 0.9733 | 0.7766 | 0.8639 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1223 | 0.1329 | 0.1274 | 0.0 | 0.0 | 0.0 | 0.7947 | 0.8075 | 0.8011 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2033 | 0.3080 |
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- | No log | 8.0 | 128 | 0.3997 | 0.4138 | 0.3562 | 0.3828 | 0.8787 | 0.3099 | 0.2951 | 0.3023 | 0.0 | 0.0 | 0.0 | 0.7796 | 0.7713 | 0.7754 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5827 | 0.2331 | 0.3330 | 0.0 | 0.0 | 0.0 | 0.9796 | 0.7660 | 0.8597 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1687 | 0.1741 | 0.1714 | 0.0 | 0.0 | 0.0 | 0.7796 | 0.7754 | 0.7775 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2142 | 0.3526 |
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- | No log | 9.0 | 144 | 0.3952 | 0.4229 | 0.3736 | 0.3967 | 0.8811 | 0.3210 | 0.3140 | 0.3174 | 0.0 | 0.0 | 0.0 | 0.7842 | 0.7926 | 0.7884 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5816 | 0.2693 | 0.3681 | 0.0 | 0.0 | 0.0 | 0.9733 | 0.7766 | 0.8639 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1821 | 0.1867 | 0.1844 | 0.0 | 0.0 | 0.0 | 0.7884 | 0.7968 | 0.7926 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2209 | 0.3717 |
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- | No log | 10.0 | 160 | 0.3951 | 0.4203 | 0.3695 | 0.3932 | 0.8804 | 0.3174 | 0.3081 | 0.3127 | 0.0 | 0.0 | 0.0 | 0.7801 | 0.7926 | 0.7863 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5866 | 0.2614 | 0.3617 | 0.0 | 0.0 | 0.0 | 0.9733 | 0.7766 | 0.8639 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1839 | 0.1885 | 0.1862 | 0.0 | 0.0 | 0.0 | 0.7842 | 0.7968 | 0.7905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2202 | 0.3697 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3989
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+ - Precision: 0.4284
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+ - Recall: 0.4258
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+ - F1: 0.4271
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+ - Accuracy: 0.8867
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+ - Adr Precision: 0.3490
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+ - Adr Recall: 0.3997
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+ - Adr F1: 0.3726
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  - Disease Precision: 0.0
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  - Disease Recall: 0.0
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  - Disease F1: 0.0
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+ - Drug Precision: 0.7705
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+ - Drug Recall: 0.75
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+ - Drug F1: 0.7601
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  - Finding Precision: 0.0
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  - Finding Recall: 0.0
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  - Finding F1: 0.0
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  - Symptom Precision: 0.0
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  - Symptom Recall: 0.0
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  - Symptom F1: 0.0
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+ - B-adr Precision: 0.6208
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+ - B-adr Recall: 0.5543
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+ - B-adr F1: 0.5857
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  - B-disease Precision: 0.0
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  - B-disease Recall: 0.0
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  - B-disease F1: 0.0
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+ - B-drug Precision: 0.9545
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+ - B-drug Recall: 0.7819
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+ - B-drug F1: 0.8596
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  - B-finding Precision: 0.0
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  - B-finding Recall: 0.0
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  - B-finding F1: 0.0
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  - B-symptom Precision: 0.0
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  - B-symptom Recall: 0.0
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  - B-symptom F1: 0.0
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+ - I-adr Precision: 0.3112
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+ - I-adr Recall: 0.3627
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+ - I-adr F1: 0.3350
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  - I-disease Precision: 0.0
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  - I-disease Recall: 0.0
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  - I-disease F1: 0.0
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+ - I-drug Precision: 0.8077
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+ - I-drug Recall: 0.7861
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+ - I-drug F1: 0.7967
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  - I-finding Precision: 0.0
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  - I-finding Recall: 0.0
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  - I-finding F1: 0.0
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  - I-symptom Precision: 0.0
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  - I-symptom Recall: 0.0
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  - I-symptom F1: 0.0
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+ - Macro Avg F1: 0.2577
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+ - Weighted Avg F1: 0.4992
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Adr Precision | Adr Recall | Adr F1 | Disease Precision | Disease Recall | Disease F1 | Drug Precision | Drug Recall | Drug F1 | Finding Precision | Finding Recall | Finding F1 | Symptom Precision | Symptom Recall | Symptom F1 | B-adr Precision | B-adr Recall | B-adr F1 | B-disease Precision | B-disease Recall | B-disease F1 | B-drug Precision | B-drug Recall | B-drug F1 | B-finding Precision | B-finding Recall | B-finding F1 | B-symptom Precision | B-symptom Recall | B-symptom F1 | I-adr Precision | I-adr Recall | I-adr F1 | I-disease Precision | I-disease Recall | I-disease F1 | I-drug Precision | I-drug Recall | I-drug F1 | I-finding Precision | I-finding Recall | I-finding F1 | I-symptom Precision | I-symptom Recall | I-symptom F1 | Macro Avg F1 | Weighted Avg F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|:------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------:|:-------:|:-----------------:|:--------------:|:----------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:------------:|:---------------:|
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+ | No log | 1.0 | 16 | 0.8682 | 0.0 | 0.0 | 0.0 | 0.7876 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 32 | 0.6041 | 0.1482 | 0.0645 | 0.0899 | 0.8183 | 0.1482 | 0.0916 | 0.1132 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1153 | 0.0880 | 0.0998 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0100 | 0.0319 |
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+ | No log | 3.0 | 48 | 0.5134 | 0.1863 | 0.1310 | 0.1538 | 0.8487 | 0.2282 | 0.1860 | 0.2050 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6154 | 0.0126 | 0.0247 | 0.0 | 0.0 | 0.0 | 0.9841 | 0.6596 | 0.7898 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0964 | 0.0969 | 0.0967 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0911 | 0.1252 |
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+ | No log | 4.0 | 64 | 0.4579 | 0.3852 | 0.2938 | 0.3333 | 0.8634 | 0.2667 | 0.2384 | 0.2517 | 0.0 | 0.0 | 0.0 | 0.9462 | 0.6543 | 0.7736 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6322 | 0.0866 | 0.1524 | 0.0 | 0.0 | 0.0 | 0.9690 | 0.6649 | 0.7886 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1283 | 0.1400 | 0.1339 | 0.0 | 0.0 | 0.0 | 0.9688 | 0.6631 | 0.7873 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1862 | 0.2681 |
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+ | No log | 5.0 | 80 | 0.4296 | 0.3784 | 0.3265 | 0.3505 | 0.8683 | 0.2759 | 0.2791 | 0.2775 | 0.0 | 0.0 | 0.0 | 0.8639 | 0.6755 | 0.7582 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.625 | 0.2520 | 0.3591 | 0.0 | 0.0 | 0.0 | 0.9437 | 0.7128 | 0.8121 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1714 | 0.2047 | 0.1866 | 0.0 | 0.0 | 0.0 | 0.8889 | 0.6845 | 0.7734 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2131 | 0.3615 |
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+ | No log | 6.0 | 96 | 0.4125 | 0.3935 | 0.3613 | 0.3767 | 0.8770 | 0.3005 | 0.3241 | 0.3119 | 0.0 | 0.0 | 0.0 | 0.8387 | 0.6915 | 0.7580 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5982 | 0.4268 | 0.4982 | 0.0 | 0.0 | 0.0 | 0.9324 | 0.7340 | 0.8214 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2348 | 0.2711 | 0.2517 | 0.0 | 0.0 | 0.0 | 0.8553 | 0.6952 | 0.7670 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2338 | 0.4333 |
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+ | No log | 7.0 | 112 | 0.4026 | 0.4013 | 0.3726 | 0.3864 | 0.8799 | 0.3111 | 0.3328 | 0.3216 | 0.0 | 0.0 | 0.0 | 0.7895 | 0.7181 | 0.7521 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6227 | 0.4236 | 0.5042 | 0.0 | 0.0 | 0.0 | 0.9342 | 0.7553 | 0.8353 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2374 | 0.2783 | 0.2562 | 0.0 | 0.0 | 0.0 | 0.8383 | 0.7487 | 0.7910 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2387 | 0.4410 |
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+ | No log | 8.0 | 128 | 0.4034 | 0.4219 | 0.3982 | 0.4097 | 0.8846 | 0.3360 | 0.3677 | 0.3511 | 0.0 | 0.0 | 0.0 | 0.8047 | 0.7234 | 0.7619 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6198 | 0.5134 | 0.5616 | 0.0 | 0.0 | 0.0 | 0.9467 | 0.7553 | 0.8402 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2807 | 0.3160 | 0.2973 | 0.0 | 0.0 | 0.0 | 0.8343 | 0.7540 | 0.7921 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2491 | 0.4758 |
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+ | No log | 9.0 | 144 | 0.4008 | 0.4344 | 0.4237 | 0.4290 | 0.8863 | 0.3535 | 0.3997 | 0.3752 | 0.0 | 0.0 | 0.0 | 0.7943 | 0.7394 | 0.7658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6228 | 0.5512 | 0.5848 | 0.0 | 0.0 | 0.0 | 0.9542 | 0.7766 | 0.8563 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3119 | 0.3573 | 0.3331 | 0.0 | 0.0 | 0.0 | 0.8439 | 0.7807 | 0.8111 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2585 | 0.4994 |
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+ | No log | 10.0 | 160 | 0.3989 | 0.4284 | 0.4258 | 0.4271 | 0.8867 | 0.3490 | 0.3997 | 0.3726 | 0.0 | 0.0 | 0.0 | 0.7705 | 0.75 | 0.7601 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6208 | 0.5543 | 0.5857 | 0.0 | 0.0 | 0.0 | 0.9545 | 0.7819 | 0.8596 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3112 | 0.3627 | 0.3350 | 0.0 | 0.0 | 0.0 | 0.8077 | 0.7861 | 0.7967 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2577 | 0.4992 |
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  ### Framework versions