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

Token Classification
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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: 0.3989
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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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@@ -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 | 0.8682 | 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
 
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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: 0.3901
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+ - Precision: 0.4698
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+ - Recall: 0.4545
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+ - F1: 0.4620
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+ - Accuracy: 0.8897
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+ - Adr Precision: 0.3853
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+ - Adr Recall: 0.4346
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+ - Adr F1: 0.4085
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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: 0.8580
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+ - Drug Recall: 0.7713
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+ - Drug F1: 0.8123
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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: 0.6599
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+ - B-adr Recall: 0.5591
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+ - B-adr F1: 0.6053
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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: 0.9603
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+ - B-drug Recall: 0.7713
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+ - B-drug F1: 0.8555
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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: 0.3103
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+ - I-adr Recall: 0.3465
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+ - I-adr F1: 0.3274
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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: 0.8795
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+ - I-drug Recall: 0.7807
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+ - I-drug F1: 0.8272
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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: 0.2615
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+ - Weighted Avg F1: 0.5067
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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 | 0.8397 | 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 | 0.5737 | 0.2370 | 0.1167 | 0.1564 | 0.8337 | 0.2370 | 0.1657 | 0.1950 | 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 | 0.0790 | 0.0682 | 0.0732 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0073 | 0.0234 |
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+ | No log | 3.0 | 48 | 0.4825 | 0.3952 | 0.2876 | 0.3329 | 0.8615 | 0.2740 | 0.2326 | 0.2516 | 0.0 | 0.0 | 0.0 | 0.9528 | 0.6436 | 0.7683 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0079 | 0.0156 | 0.0 | 0.0 | 0.0 | 0.9843 | 0.6649 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0839 | 0.0880 | 0.0859 | 0.0 | 0.0 | 0.0 | 0.968 | 0.6471 | 0.7756 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1671 | 0.2022 |
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+ | No log | 4.0 | 64 | 0.4367 | 0.4251 | 0.3193 | 0.3647 | 0.8662 | 0.3134 | 0.2747 | 0.2928 | 0.0 | 0.0 | 0.0 | 0.9389 | 0.6543 | 0.7712 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7885 | 0.0646 | 0.1194 | 0.0 | 0.0 | 0.0 | 0.9847 | 0.6862 | 0.8088 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1085 | 0.1167 | 0.1125 | 0.0 | 0.0 | 0.0 | 0.9535 | 0.6578 | 0.7785 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1819 | 0.2505 |
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+ | No log | 5.0 | 80 | 0.4087 | 0.4222 | 0.3501 | 0.3828 | 0.8723 | 0.3237 | 0.3081 | 0.3157 | 0.0 | 0.0 | 0.0 | 0.8387 | 0.6915 | 0.7580 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6937 | 0.1748 | 0.2792 | 0.0 | 0.0 | 0.0 | 0.9860 | 0.75 | 0.8520 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1302 | 0.1472 | 0.1382 | 0.0 | 0.0 | 0.0 | 0.8562 | 0.7005 | 0.7706 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2040 | 0.3208 |
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+ | No log | 6.0 | 96 | 0.3987 | 0.4269 | 0.3736 | 0.3985 | 0.8798 | 0.3219 | 0.3270 | 0.3244 | 0.0 | 0.0 | 0.0 | 0.8974 | 0.7447 | 0.8140 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6791 | 0.3433 | 0.4561 | 0.0 | 0.0 | 0.0 | 0.9796 | 0.7660 | 0.8597 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1987 | 0.2244 | 0.2108 | 0.0 | 0.0 | 0.0 | 0.9161 | 0.7594 | 0.8304 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2357 | 0.4158 |
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+ | No log | 7.0 | 112 | 0.3915 | 0.4266 | 0.3869 | 0.4058 | 0.8814 | 0.3278 | 0.3430 | 0.3352 | 0.0 | 0.0 | 0.0 | 0.8554 | 0.7553 | 0.8023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6821 | 0.3953 | 0.5005 | 0.0 | 0.0 | 0.0 | 0.9603 | 0.7713 | 0.8555 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2186 | 0.2496 | 0.2330 | 0.0 | 0.0 | 0.0 | 0.8841 | 0.7754 | 0.8262 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2415 | 0.4382 |
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+ | No log | 8.0 | 128 | 0.3920 | 0.4643 | 0.4391 | 0.4513 | 0.8879 | 0.3776 | 0.4172 | 0.3964 | 0.0 | 0.0 | 0.0 | 0.8659 | 0.7553 | 0.8068 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6613 | 0.5197 | 0.5820 | 0.0 | 0.0 | 0.0 | 0.9664 | 0.7660 | 0.8546 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2915 | 0.3250 | 0.3073 | 0.0 | 0.0 | 0.0 | 0.8827 | 0.7647 | 0.8195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2563 | 0.4909 |
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+ | No log | 9.0 | 144 | 0.3911 | 0.4720 | 0.4483 | 0.4598 | 0.8891 | 0.3863 | 0.4273 | 0.4058 | 0.0 | 0.0 | 0.0 | 0.8623 | 0.7660 | 0.8113 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6706 | 0.5386 | 0.5974 | 0.0 | 0.0 | 0.0 | 0.9603 | 0.7713 | 0.8555 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3076 | 0.3429 | 0.3243 | 0.0 | 0.0 | 0.0 | 0.8780 | 0.7701 | 0.8205 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2598 | 0.5021 |
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+ | No log | 10.0 | 160 | 0.3901 | 0.4698 | 0.4545 | 0.4620 | 0.8897 | 0.3853 | 0.4346 | 0.4085 | 0.0 | 0.0 | 0.0 | 0.8580 | 0.7713 | 0.8123 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6599 | 0.5591 | 0.6053 | 0.0 | 0.0 | 0.0 | 0.9603 | 0.7713 | 0.8555 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3103 | 0.3465 | 0.3274 | 0.0 | 0.0 | 0.0 | 0.8795 | 0.7807 | 0.8272 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2615 | 0.5067 |
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  ### Framework versions