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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: 0.3960
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- - Precision: 0.4297
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- - Recall: 0.3910
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- - F1: 0.4094
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- - Accuracy: 0.8851
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- - Adr Precision: 0.3380
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- - Adr Recall: 0.3474
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- - Adr F1: 0.3427
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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: 0.7857
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- - Drug Recall: 0.7606
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- - Drug F1: 0.7730
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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: 0.6115
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- - B-adr Recall: 0.4189
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- - B-adr F1: 0.4972
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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: 0.9605
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- - B-drug Recall: 0.7766
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- - B-drug F1: 0.8588
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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: 0.2584
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- - I-adr Recall: 0.2621
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- - I-adr F1: 0.2602
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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: 0.8362
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- - I-drug Recall: 0.7914
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- - I-drug F1: 0.8132
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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: 0.2429
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- - Weighted Avg F1: 0.4447
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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 | 0.8678 | 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 | 0.6019 | 0.1340 | 0.0665 | 0.0889 | 0.8179 | 0.1340 | 0.0945 | 0.1108 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0742 | 0.0646 | 0.0691 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0069 | 0.0221 |
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- | No log | 3.0 | 48 | 0.5072 | 0.2736 | 0.1812 | 0.2180 | 0.8520 | 0.2615 | 0.1991 | 0.2261 | 0.0 | 0.0 | 0.0 | 0.3252 | 0.2128 | 0.2572 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4828 | 0.0220 | 0.0422 | 0.0 | 0.0 | 0.0 | 0.9837 | 0.6436 | 0.7781 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0870 | 0.0808 | 0.0838 | 0.0 | 0.0 | 0.0 | 0.9756 | 0.2139 | 0.3509 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1255 | 0.1639 |
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- | No log | 4.0 | 64 | 0.4559 | 0.3937 | 0.3050 | 0.3437 | 0.8617 | 0.2798 | 0.2558 | 0.2673 | 0.0 | 0.0 | 0.0 | 0.9531 | 0.6489 | 0.7722 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4340 | 0.0362 | 0.0669 | 0.0 | 0.0 | 0.0 | 0.9843 | 0.6649 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0882 | 0.0969 | 0.0924 | 0.0 | 0.0 | 0.0 | 0.9685 | 0.6578 | 0.7834 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1736 | 0.2238 |
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- | No log | 5.0 | 80 | 0.4265 | 0.3860 | 0.3275 | 0.3544 | 0.8675 | 0.2885 | 0.2834 | 0.2859 | 0.0 | 0.0 | 0.0 | 0.8170 | 0.6649 | 0.7331 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5561 | 0.1638 | 0.2530 | 0.0 | 0.0 | 0.0 | 0.9845 | 0.6755 | 0.8013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1221 | 0.1346 | 0.1281 | 0.0 | 0.0 | 0.0 | 0.8627 | 0.7059 | 0.7765 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1959 | 0.3032 |
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- | No log | 6.0 | 96 | 0.4091 | 0.3964 | 0.3388 | 0.3653 | 0.8748 | 0.2965 | 0.2922 | 0.2943 | 0.0 | 0.0 | 0.0 | 0.8280 | 0.6915 | 0.7536 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5956 | 0.2551 | 0.3572 | 0.0 | 0.0 | 0.0 | 0.9852 | 0.7074 | 0.8235 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1712 | 0.1813 | 0.1761 | 0.0 | 0.0 | 0.0 | 0.8599 | 0.7219 | 0.7849 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2142 | 0.3599 |
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- | No log | 7.0 | 112 | 0.4000 | 0.3940 | 0.3521 | 0.3719 | 0.8768 | 0.2999 | 0.3038 | 0.3018 | 0.0 | 0.0 | 0.0 | 0.7670 | 0.7181 | 0.7418 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6077 | 0.2976 | 0.3996 | 0.0 | 0.0 | 0.0 | 0.9718 | 0.7340 | 0.8364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1853 | 0.1993 | 0.1920 | 0.0 | 0.0 | 0.0 | 0.8343 | 0.7807 | 0.8066 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2235 | 0.3841 |
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- | No log | 8.0 | 128 | 0.4010 | 0.4306 | 0.3715 | 0.3989 | 0.8816 | 0.3363 | 0.3314 | 0.3338 | 0.0 | 0.0 | 0.0 | 0.8182 | 0.7181 | 0.7649 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.616 | 0.3638 | 0.4574 | 0.0 | 0.0 | 0.0 | 0.9789 | 0.7394 | 0.8424 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2316 | 0.2316 | 0.2316 | 0.0 | 0.0 | 0.0 | 0.8598 | 0.7540 | 0.8034 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2335 | 0.4182 |
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- | No log | 9.0 | 144 | 0.3963 | 0.4247 | 0.3869 | 0.4049 | 0.8839 | 0.3315 | 0.3430 | 0.3371 | 0.0 | 0.0 | 0.0 | 0.7978 | 0.7553 | 0.7760 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6047 | 0.4047 | 0.4849 | 0.0 | 0.0 | 0.0 | 0.9669 | 0.7766 | 0.8614 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2483 | 0.2549 | 0.2516 | 0.0 | 0.0 | 0.0 | 0.8497 | 0.7861 | 0.8167 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2414 | 0.4381 |
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- | No log | 10.0 | 160 | 0.3960 | 0.4297 | 0.3910 | 0.4094 | 0.8851 | 0.3380 | 0.3474 | 0.3427 | 0.0 | 0.0 | 0.0 | 0.7857 | 0.7606 | 0.7730 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6115 | 0.4189 | 0.4972 | 0.0 | 0.0 | 0.0 | 0.9605 | 0.7766 | 0.8588 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2584 | 0.2621 | 0.2602 | 0.0 | 0.0 | 0.0 | 0.8362 | 0.7914 | 0.8132 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2429 | 0.4447 |
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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: 0.3873
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+ - Precision: 0.4488
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+ - Recall: 0.4483
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+ - F1: 0.4485
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+ - Accuracy: 0.8907
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+ - Adr Precision: 0.3791
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+ - Adr Recall: 0.4375
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+ - Adr F1: 0.4062
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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: 0.7527
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+ - Drug Recall: 0.7287
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+ - Drug F1: 0.7405
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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: 0.6329
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+ - B-adr Recall: 0.5512
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+ - B-adr F1: 0.5892
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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: 0.9718
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+ - B-drug Recall: 0.7340
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+ - B-drug F1: 0.8364
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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: 0.3287
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+ - I-adr Recall: 0.3860
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+ - I-adr F1: 0.3551
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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: 0.8066
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+ - I-drug Recall: 0.7807
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+ - I-drug F1: 0.7935
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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: 0.2574
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+ - Weighted Avg F1: 0.5041
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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 | 0.8554 | 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 | 0.6110 | 0.1709 | 0.0901 | 0.1180 | 0.8226 | 0.1709 | 0.1279 | 0.1463 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0699 | 0.0646 | 0.0672 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0067 | 0.0215 |
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+ | No log | 3.0 | 48 | 0.5114 | 0.2118 | 0.1433 | 0.1709 | 0.8496 | 0.2612 | 0.2035 | 0.2288 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.55 | 0.0173 | 0.0336 | 0.0 | 0.0 | 0.0 | 0.984 | 0.6543 | 0.7859 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0918 | 0.0880 | 0.0898 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0909 | 0.1259 |
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+ | No log | 4.0 | 64 | 0.4618 | 0.4412 | 0.3224 | 0.3726 | 0.8660 | 0.3271 | 0.2791 | 0.3012 | 0.0 | 0.0 | 0.0 | 0.9685 | 0.6543 | 0.7810 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6375 | 0.0803 | 0.1427 | 0.0 | 0.0 | 0.0 | 0.9843 | 0.6649 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1209 | 0.1257 | 0.1232 | 0.0 | 0.0 | 0.0 | 0.9685 | 0.6578 | 0.7834 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1843 | 0.2613 |
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+ | No log | 5.0 | 80 | 0.4254 | 0.4072 | 0.3460 | 0.3741 | 0.8679 | 0.3080 | 0.3125 | 0.3102 | 0.0 | 0.0 | 0.0 | 0.9318 | 0.6543 | 0.7688 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5960 | 0.1858 | 0.2833 | 0.0 | 0.0 | 0.0 | 0.9843 | 0.6649 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1381 | 0.1652 | 0.1504 | 0.0 | 0.0 | 0.0 | 0.9394 | 0.6631 | 0.7774 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2005 | 0.3207 |
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+ | No log | 6.0 | 96 | 0.4048 | 0.4377 | 0.4063 | 0.4214 | 0.8835 | 0.3634 | 0.3983 | 0.3800 | 0.0 | 0.0 | 0.0 | 0.8039 | 0.6543 | 0.7214 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6335 | 0.4409 | 0.5200 | 0.0 | 0.0 | 0.0 | 0.9766 | 0.6649 | 0.7911 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2772 | 0.3250 | 0.2992 | 0.0 | 0.0 | 0.0 | 0.8618 | 0.7005 | 0.7729 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2383 | 0.4538 |
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+ | No log | 7.0 | 112 | 0.3952 | 0.4114 | 0.3920 | 0.4015 | 0.8815 | 0.3303 | 0.3663 | 0.3473 | 0.0 | 0.0 | 0.0 | 0.7798 | 0.6968 | 0.7360 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6121 | 0.4126 | 0.4929 | 0.0 | 0.0 | 0.0 | 0.9784 | 0.7234 | 0.8318 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2394 | 0.2926 | 0.2633 | 0.0 | 0.0 | 0.0 | 0.8383 | 0.7487 | 0.7910 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2379 | 0.4388 |
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+ | No log | 8.0 | 128 | 0.3922 | 0.4575 | 0.4411 | 0.4492 | 0.8884 | 0.3821 | 0.4331 | 0.4060 | 0.0 | 0.0 | 0.0 | 0.8210 | 0.7074 | 0.76 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6331 | 0.5354 | 0.5802 | 0.0 | 0.0 | 0.0 | 0.9784 | 0.7234 | 0.8318 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3281 | 0.3788 | 0.3517 | 0.0 | 0.0 | 0.0 | 0.8758 | 0.7540 | 0.8103 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2574 | 0.5010 |
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+ | No log | 9.0 | 144 | 0.3886 | 0.4549 | 0.4391 | 0.4469 | 0.8887 | 0.3815 | 0.4259 | 0.4025 | 0.0 | 0.0 | 0.0 | 0.7771 | 0.7234 | 0.7493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6271 | 0.5244 | 0.5712 | 0.0 | 0.0 | 0.0 | 0.9716 | 0.7287 | 0.8328 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3297 | 0.3770 | 0.3518 | 0.0 | 0.0 | 0.0 | 0.8333 | 0.7754 | 0.8033 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2559 | 0.4971 |
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+ | No log | 10.0 | 160 | 0.3873 | 0.4488 | 0.4483 | 0.4485 | 0.8907 | 0.3791 | 0.4375 | 0.4062 | 0.0 | 0.0 | 0.0 | 0.7527 | 0.7287 | 0.7405 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6329 | 0.5512 | 0.5892 | 0.0 | 0.0 | 0.0 | 0.9718 | 0.7340 | 0.8364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3287 | 0.3860 | 0.3551 | 0.0 | 0.0 | 0.0 | 0.8066 | 0.7807 | 0.7935 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2574 | 0.5041 |
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  ### Framework versions