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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: 0.3842
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- - Precision: 0.4717
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- - Recall: 0.4698
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- - F1: 0.4708
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- - Accuracy: 0.8945
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- - Adr Precision: 0.3890
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- - Adr Recall: 0.4433
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- - Adr F1: 0.4144
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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: 0.8148
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- - Drug Recall: 0.8191
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- - Drug F1: 0.8170
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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: 0.6429
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- - B-adr Recall: 0.5811
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- - B-adr F1: 0.6104
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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: 0.9524
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  - B-drug Recall: 0.8511
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- - B-drug F1: 0.8989
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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: 0.3403
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- - I-adr Recall: 0.3788
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- - I-adr F1: 0.3585
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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: 0.8095
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- - I-drug Recall: 0.8182
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- - I-drug F1: 0.8138
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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: 0.2682
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- - Weighted Avg F1: 0.5218
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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 | 21 | 0.7203 | 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 | 42 | 0.5114 | 0.3886 | 0.2733 | 0.3209 | 0.8529 | 0.2633 | 0.2151 | 0.2368 | 0.0 | 0.0 | 0.0 | 0.952 | 0.6330 | 0.7604 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.984 | 0.6543 | 0.7859 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0606 | 0.0610 | 0.0608 | 0.0 | 0.0 | 0.0 | 0.9675 | 0.6364 | 0.7677 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1615 | 0.1868 |
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- | No log | 3.0 | 63 | 0.4353 | 0.3917 | 0.3275 | 0.3567 | 0.8626 | 0.2927 | 0.2863 | 0.2895 | 0.0 | 0.0 | 0.0 | 0.8542 | 0.6543 | 0.7410 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5614 | 0.0504 | 0.0925 | 0.0 | 0.0 | 0.0 | 0.9845 | 0.6755 | 0.8013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0798 | 0.0934 | 0.0860 | 0.0 | 0.0 | 0.0 | 0.8958 | 0.6898 | 0.7795 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1759 | 0.2315 |
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- | No log | 4.0 | 84 | 0.4147 | 0.4149 | 0.3470 | 0.3779 | 0.8694 | 0.3078 | 0.2922 | 0.2998 | 0.0 | 0.0 | 0.0 | 0.8415 | 0.7340 | 0.7841 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5779 | 0.1402 | 0.2256 | 0.0 | 0.0 | 0.0 | 0.9790 | 0.7447 | 0.8459 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0960 | 0.1041 | 0.0999 | 0.0 | 0.0 | 0.0 | 0.8957 | 0.7807 | 0.8343 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2006 | 0.2952 |
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- | No log | 5.0 | 105 | 0.3940 | 0.4195 | 0.3654 | 0.3906 | 0.8794 | 0.3170 | 0.3110 | 0.3140 | 0.0 | 0.0 | 0.0 | 0.8125 | 0.7606 | 0.7857 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6444 | 0.2740 | 0.3845 | 0.0 | 0.0 | 0.0 | 0.9669 | 0.7766 | 0.8614 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1703 | 0.1813 | 0.1757 | 0.0 | 0.0 | 0.0 | 0.8409 | 0.7914 | 0.8154 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2237 | 0.3770 |
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- | No log | 6.0 | 126 | 0.3881 | 0.4234 | 0.3930 | 0.4076 | 0.8844 | 0.3274 | 0.3459 | 0.3364 | 0.0 | 0.0 | 0.0 | 0.8111 | 0.7766 | 0.7935 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6225 | 0.4 | 0.4871 | 0.0 | 0.0 | 0.0 | 0.9675 | 0.7926 | 0.8713 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2239 | 0.2388 | 0.2311 | 0.0 | 0.0 | 0.0 | 0.8268 | 0.7914 | 0.8087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2398 | 0.4325 |
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- | No log | 7.0 | 147 | 0.3871 | 0.4264 | 0.4094 | 0.4178 | 0.8877 | 0.3342 | 0.3648 | 0.3489 | 0.0 | 0.0 | 0.0 | 0.7968 | 0.7926 | 0.7947 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6203 | 0.4630 | 0.5302 | 0.0 | 0.0 | 0.0 | 0.9565 | 0.8191 | 0.8825 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2537 | 0.2783 | 0.2654 | 0.0 | 0.0 | 0.0 | 0.8235 | 0.8235 | 0.8235 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2502 | 0.4621 |
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- | No log | 8.0 | 168 | 0.3906 | 0.4556 | 0.4616 | 0.4586 | 0.8926 | 0.3720 | 0.4331 | 0.4003 | 0.0 | 0.0 | 0.0 | 0.8095 | 0.8138 | 0.8117 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6241 | 0.5780 | 0.6002 | 0.0 | 0.0 | 0.0 | 0.9521 | 0.8457 | 0.8958 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3188 | 0.3537 | 0.3353 | 0.0 | 0.0 | 0.0 | 0.8148 | 0.8235 | 0.8191 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2650 | 0.5109 |
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- | No log | 9.0 | 189 | 0.3822 | 0.4607 | 0.4565 | 0.4586 | 0.8931 | 0.3744 | 0.4244 | 0.3978 | 0.0 | 0.0 | 0.0 | 0.8191 | 0.8191 | 0.8191 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6406 | 0.5669 | 0.6015 | 0.0 | 0.0 | 0.0 | 0.9581 | 0.8511 | 0.9014 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3237 | 0.3609 | 0.3413 | 0.0 | 0.0 | 0.0 | 0.8138 | 0.8182 | 0.8160 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2660 | 0.5136 |
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- | No log | 10.0 | 210 | 0.3842 | 0.4717 | 0.4698 | 0.4708 | 0.8945 | 0.3890 | 0.4433 | 0.4144 | 0.0 | 0.0 | 0.0 | 0.8148 | 0.8191 | 0.8170 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6429 | 0.5811 | 0.6104 | 0.0 | 0.0 | 0.0 | 0.9524 | 0.8511 | 0.8989 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3403 | 0.3788 | 0.3585 | 0.0 | 0.0 | 0.0 | 0.8095 | 0.8182 | 0.8138 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2682 | 0.5218 |
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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: 0.3503
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+ - Precision: 0.4853
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+ - Recall: 0.5067
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+ - F1: 0.4957
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+ - Accuracy: 0.9003
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+ - Adr Precision: 0.4156
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+ - Adr Recall: 0.4971
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+ - Adr F1: 0.4527
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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: 0.7766
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+ - Drug Recall: 0.8138
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+ - Drug F1: 0.7948
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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: 0.6582
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+ - B-adr Recall: 0.6551
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+ - B-adr F1: 0.6567
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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: 0.9639
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  - B-drug Recall: 0.8511
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+ - B-drug F1: 0.9040
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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: 0.4091
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+ - I-adr Recall: 0.4686
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+ - I-adr F1: 0.4368
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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: 0.8112
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+ - I-drug Recall: 0.8503
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+ - I-drug F1: 0.8303
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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: 0.2828
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+ - Weighted Avg F1: 0.5661
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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 | 24 | 0.7793 | 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 | 48 | 0.5127 | 0.3553 | 0.2375 | 0.2847 | 0.8510 | 0.2110 | 0.1613 | 0.1829 | 0.0 | 0.0 | 0.0 | 0.9528 | 0.6436 | 0.7683 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9841 | 0.6596 | 0.7898 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0589 | 0.0557 | 0.0572 | 0.0 | 0.0 | 0.0 | 0.9603 | 0.6471 | 0.7732 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1620 | 0.1866 |
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+ | No log | 3.0 | 72 | 0.4218 | 0.4082 | 0.3275 | 0.3634 | 0.8659 | 0.3101 | 0.2849 | 0.2970 | 0.0 | 0.0 | 0.0 | 0.8158 | 0.6596 | 0.7294 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6667 | 0.0378 | 0.0715 | 0.0 | 0.0 | 0.0 | 0.9577 | 0.7234 | 0.8242 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1003 | 0.1131 | 0.1063 | 0.0 | 0.0 | 0.0 | 0.8658 | 0.6898 | 0.7679 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1770 | 0.2316 |
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+ | No log | 4.0 | 96 | 0.3889 | 0.4168 | 0.3767 | 0.3957 | 0.8763 | 0.3183 | 0.3183 | 0.3183 | 0.0 | 0.0 | 0.0 | 0.7641 | 0.7926 | 0.7781 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6684 | 0.2031 | 0.3116 | 0.0 | 0.0 | 0.0 | 0.95 | 0.8085 | 0.8736 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1453 | 0.1688 | 0.1561 | 0.0 | 0.0 | 0.0 | 0.7824 | 0.8075 | 0.7947 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2136 | 0.3433 |
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+ | No log | 5.0 | 120 | 0.3734 | 0.4409 | 0.3859 | 0.4116 | 0.8866 | 0.3450 | 0.3285 | 0.3366 | 0.0 | 0.0 | 0.0 | 0.755 | 0.8032 | 0.7784 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6884 | 0.3165 | 0.4337 | 0.0 | 0.0 | 0.0 | 0.9691 | 0.8351 | 0.8971 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2305 | 0.2442 | 0.2371 | 0.0 | 0.0 | 0.0 | 0.7588 | 0.8075 | 0.7824 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2350 | 0.4149 |
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+ | No log | 6.0 | 144 | 0.3626 | 0.4608 | 0.4156 | 0.4370 | 0.8903 | 0.3699 | 0.3721 | 0.3710 | 0.0 | 0.0 | 0.0 | 0.7937 | 0.7979 | 0.7958 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6873 | 0.4016 | 0.5070 | 0.0 | 0.0 | 0.0 | 0.9689 | 0.8298 | 0.8940 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2703 | 0.2926 | 0.2810 | 0.0 | 0.0 | 0.0 | 0.8032 | 0.8075 | 0.8053 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2487 | 0.4579 |
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+ | No log | 7.0 | 168 | 0.3535 | 0.4488 | 0.4759 | 0.4620 | 0.8947 | 0.3723 | 0.4491 | 0.4071 | 0.0 | 0.0 | 0.0 | 0.7573 | 0.8298 | 0.7919 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6261 | 0.5827 | 0.6036 | 0.0 | 0.0 | 0.0 | 0.9422 | 0.8670 | 0.9030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3303 | 0.3860 | 0.3560 | 0.0 | 0.0 | 0.0 | 0.7843 | 0.8556 | 0.8184 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2681 | 0.5195 |
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+ | No log | 8.0 | 192 | 0.3528 | 0.4751 | 0.4985 | 0.4865 | 0.8969 | 0.4055 | 0.4898 | 0.4437 | 0.0 | 0.0 | 0.0 | 0.7732 | 0.7979 | 0.7853 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6410 | 0.6299 | 0.6354 | 0.0 | 0.0 | 0.0 | 0.9636 | 0.8457 | 0.9008 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3752 | 0.4399 | 0.4050 | 0.0 | 0.0 | 0.0 | 0.7979 | 0.8235 | 0.8105 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2752 | 0.5457 |
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+ | No log | 9.0 | 216 | 0.3483 | 0.4822 | 0.5005 | 0.4912 | 0.8984 | 0.4108 | 0.4884 | 0.4462 | 0.0 | 0.0 | 0.0 | 0.7806 | 0.8138 | 0.7969 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6589 | 0.6205 | 0.6391 | 0.0 | 0.0 | 0.0 | 0.9639 | 0.8511 | 0.9040 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3777 | 0.4434 | 0.4079 | 0.0 | 0.0 | 0.0 | 0.8103 | 0.8449 | 0.8272 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2778 | 0.5501 |
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+ | No log | 10.0 | 240 | 0.3503 | 0.4853 | 0.5067 | 0.4957 | 0.9003 | 0.4156 | 0.4971 | 0.4527 | 0.0 | 0.0 | 0.0 | 0.7766 | 0.8138 | 0.7948 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6582 | 0.6551 | 0.6567 | 0.0 | 0.0 | 0.0 | 0.9639 | 0.8511 | 0.9040 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4091 | 0.4686 | 0.4368 | 0.0 | 0.0 | 0.0 | 0.8112 | 0.8503 | 0.8303 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2828 | 0.5661 |
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  ### Framework versions