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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: 0.3797
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- - Precision: 0.4683
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- - Recall: 0.4688
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- - F1: 0.4685
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- - Accuracy: 0.8922
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- - Adr Precision: 0.3881
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- - Adr Recall: 0.4462
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- - Adr F1: 0.4151
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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: 0.8075
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- - Drug Recall: 0.8032
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- - Drug F1: 0.8053
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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: 0.6058
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- - B-adr Recall: 0.5591
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- - B-adr F1: 0.5815
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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: 0.9571
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- - B-drug Recall: 0.8298
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- - B-drug F1: 0.8889
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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: 0.3421
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- - I-adr Recall: 0.3734
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- - I-adr F1: 0.3571
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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: 0.8370
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- - I-drug Recall: 0.8235
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- - I-drug F1: 0.8302
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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: 0.2658
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- - Weighted Avg F1: 0.5115
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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 | 19 | 0.8069 | 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 | 38 | 0.5346 | 0.3171 | 0.1668 | 0.2186 | 0.8475 | 0.2268 | 0.1279 | 0.1636 | 0.0 | 0.0 | 0.0 | 0.5952 | 0.3989 | 0.4777 | 0.0 | 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 | 0.0747 | 0.0521 | 0.0614 | 0.0 | 0.0 | 0.0 | 0.9615 | 0.4011 | 0.5660 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1417 | 0.1657 |
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- | No log | 3.0 | 57 | 0.4568 | 0.4028 | 0.2907 | 0.3377 | 0.8619 | 0.2777 | 0.2297 | 0.2514 | 0.0 | 0.0 | 0.0 | 0.9265 | 0.6702 | 0.7778 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5124 | 0.0976 | 0.1640 | 0.0 | 0.0 | 0.0 | 0.9846 | 0.6809 | 0.8050 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1075 | 0.1023 | 0.1049 | 0.0 | 0.0 | 0.0 | 0.9338 | 0.6791 | 0.7864 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1860 | 0.2648 |
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- | No log | 4.0 | 76 | 0.4164 | 0.4110 | 0.3286 | 0.3652 | 0.8643 | 0.3018 | 0.2733 | 0.2868 | 0.0 | 0.0 | 0.0 | 0.8418 | 0.7074 | 0.7688 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6184 | 0.0740 | 0.1322 | 0.0 | 0.0 | 0.0 | 0.9662 | 0.7606 | 0.8512 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0855 | 0.0934 | 0.0893 | 0.0 | 0.0 | 0.0 | 0.8590 | 0.7166 | 0.7813 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1854 | 0.2526 |
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- | No log | 5.0 | 95 | 0.3960 | 0.4371 | 0.3838 | 0.4087 | 0.8776 | 0.3417 | 0.3358 | 0.3387 | 0.0 | 0.0 | 0.0 | 0.7912 | 0.7660 | 0.7784 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6197 | 0.2772 | 0.3830 | 0.0 | 0.0 | 0.0 | 0.9490 | 0.7926 | 0.8638 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1893 | 0.2029 | 0.1958 | 0.0 | 0.0 | 0.0 | 0.8483 | 0.8075 | 0.8274 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2270 | 0.3845 |
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- | No log | 6.0 | 114 | 0.3851 | 0.4465 | 0.4145 | 0.4299 | 0.8859 | 0.3537 | 0.3706 | 0.3620 | 0.0 | 0.0 | 0.0 | 0.8065 | 0.7979 | 0.8021 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6179 | 0.3921 | 0.4798 | 0.0 | 0.0 | 0.0 | 0.9565 | 0.8191 | 0.8825 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2441 | 0.2621 | 0.2528 | 0.0 | 0.0 | 0.0 | 0.8352 | 0.8128 | 0.8238 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2439 | 0.4397 |
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- | No log | 7.0 | 133 | 0.3813 | 0.4567 | 0.4483 | 0.4525 | 0.8896 | 0.3697 | 0.4186 | 0.3926 | 0.0 | 0.0 | 0.0 | 0.8333 | 0.7979 | 0.8152 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5981 | 0.5087 | 0.5498 | 0.0 | 0.0 | 0.0 | 0.9747 | 0.8191 | 0.8902 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3088 | 0.3321 | 0.3201 | 0.0 | 0.0 | 0.0 | 0.8436 | 0.8075 | 0.8251 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2585 | 0.4877 |
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- | No log | 8.0 | 152 | 0.3785 | 0.4644 | 0.4534 | 0.4588 | 0.8908 | 0.3817 | 0.4244 | 0.4019 | 0.0 | 0.0 | 0.0 | 0.7989 | 0.8032 | 0.8011 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6143 | 0.4992 | 0.5508 | 0.0 | 0.0 | 0.0 | 0.9512 | 0.8298 | 0.8864 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3245 | 0.3537 | 0.3385 | 0.0 | 0.0 | 0.0 | 0.8432 | 0.8342 | 0.8387 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2614 | 0.4950 |
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- | No log | 9.0 | 171 | 0.3795 | 0.4542 | 0.4565 | 0.4553 | 0.8890 | 0.3711 | 0.4288 | 0.3978 | 0.0 | 0.0 | 0.0 | 0.8075 | 0.8032 | 0.8053 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6049 | 0.5496 | 0.5759 | 0.0 | 0.0 | 0.0 | 0.9573 | 0.8351 | 0.8920 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3236 | 0.3573 | 0.3396 | 0.0 | 0.0 | 0.0 | 0.8432 | 0.8342 | 0.8387 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2646 | 0.5051 |
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- | No log | 10.0 | 190 | 0.3797 | 0.4683 | 0.4688 | 0.4685 | 0.8922 | 0.3881 | 0.4462 | 0.4151 | 0.0 | 0.0 | 0.0 | 0.8075 | 0.8032 | 0.8053 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6058 | 0.5591 | 0.5815 | 0.0 | 0.0 | 0.0 | 0.9571 | 0.8298 | 0.8889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3421 | 0.3734 | 0.3571 | 0.0 | 0.0 | 0.0 | 0.8370 | 0.8235 | 0.8302 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2658 | 0.5115 |
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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: 0.3927
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+ - Precision: 0.4635
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+ - Recall: 0.4545
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+ - F1: 0.4589
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+ - Accuracy: 0.8872
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+ - Adr Precision: 0.3794
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+ - Adr Recall: 0.4230
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+ - Adr F1: 0.4000
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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: 0.8010
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+ - Drug Recall: 0.8138
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+ - Drug F1: 0.8074
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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: 0.6204
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+ - B-adr Recall: 0.4992
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+ - B-adr F1: 0.5532
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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: 0.9518
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+ - B-drug Recall: 0.8404
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+ - B-drug F1: 0.8927
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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: 0.2903
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+ - I-adr Recall: 0.3070
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+ - I-adr F1: 0.2984
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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: 0.8053
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+ - I-drug Recall: 0.8182
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+ - I-drug F1: 0.8117
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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: 0.2556
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+ - Weighted Avg F1: 0.4808
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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 | 19 | 0.7835 | 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 | 38 | 0.5158 | 0.3520 | 0.2119 | 0.2645 | 0.8499 | 0.2515 | 0.1773 | 0.2080 | 0.0 | 0.0 | 0.0 | 0.8252 | 0.4521 | 0.5842 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9794 | 0.5053 | 0.6667 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0680 | 0.0592 | 0.0633 | 0.0 | 0.0 | 0.0 | 0.9681 | 0.4866 | 0.6477 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1378 | 0.1618 |
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+ | No log | 3.0 | 57 | 0.4437 | 0.4226 | 0.3296 | 0.3703 | 0.8663 | 0.3128 | 0.2805 | 0.2958 | 0.0 | 0.0 | 0.0 | 0.8897 | 0.6862 | 0.7748 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6104 | 0.0740 | 0.1320 | 0.0 | 0.0 | 0.0 | 0.9786 | 0.7287 | 0.8354 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1073 | 0.1131 | 0.1101 | 0.0 | 0.0 | 0.0 | 0.9085 | 0.6898 | 0.7842 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1862 | 0.2578 |
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+ | No log | 4.0 | 76 | 0.4099 | 0.4342 | 0.3582 | 0.3926 | 0.8663 | 0.3224 | 0.2994 | 0.3105 | 0.0 | 0.0 | 0.0 | 0.8623 | 0.7660 | 0.8113 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5814 | 0.0394 | 0.0737 | 0.0 | 0.0 | 0.0 | 0.9730 | 0.7660 | 0.8571 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0784 | 0.0880 | 0.0829 | 0.0 | 0.0 | 0.0 | 0.8554 | 0.7594 | 0.8045 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1818 | 0.2324 |
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+ | No log | 5.0 | 95 | 0.3957 | 0.4368 | 0.3746 | 0.4033 | 0.8755 | 0.3369 | 0.3183 | 0.3274 | 0.0 | 0.0 | 0.0 | 0.7819 | 0.7819 | 0.7819 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6276 | 0.1937 | 0.2960 | 0.0 | 0.0 | 0.0 | 0.9560 | 0.8085 | 0.8761 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1484 | 0.1580 | 0.1530 | 0.0 | 0.0 | 0.0 | 0.7807 | 0.7807 | 0.7807 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2106 | 0.3354 |
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+ | No log | 6.0 | 114 | 0.3902 | 0.4435 | 0.3859 | 0.4127 | 0.8801 | 0.3464 | 0.3328 | 0.3395 | 0.0 | 0.0 | 0.0 | 0.7831 | 0.7872 | 0.7851 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6364 | 0.2866 | 0.3952 | 0.0 | 0.0 | 0.0 | 0.9455 | 0.8298 | 0.8839 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2042 | 0.2101 | 0.2071 | 0.0 | 0.0 | 0.0 | 0.8 | 0.7914 | 0.7957 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2282 | 0.3913 |
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+ | No log | 7.0 | 133 | 0.3904 | 0.4614 | 0.4278 | 0.4440 | 0.8851 | 0.3747 | 0.3910 | 0.3826 | 0.0 | 0.0 | 0.0 | 0.7926 | 0.7926 | 0.7926 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6376 | 0.4268 | 0.5113 | 0.0 | 0.0 | 0.0 | 0.9458 | 0.8351 | 0.8870 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2622 | 0.2693 | 0.2657 | 0.0 | 0.0 | 0.0 | 0.8098 | 0.7968 | 0.8032 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2467 | 0.4536 |
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+ | No log | 8.0 | 152 | 0.3917 | 0.4598 | 0.4278 | 0.4433 | 0.8846 | 0.3696 | 0.3852 | 0.3772 | 0.0 | 0.0 | 0.0 | 0.7969 | 0.8138 | 0.8053 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6402 | 0.4063 | 0.4971 | 0.0 | 0.0 | 0.0 | 0.9405 | 0.8404 | 0.8876 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2568 | 0.2693 | 0.2629 | 0.0 | 0.0 | 0.0 | 0.8 | 0.8128 | 0.8064 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2454 | 0.4479 |
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+ | No log | 9.0 | 171 | 0.3909 | 0.4478 | 0.4350 | 0.4413 | 0.8837 | 0.3603 | 0.3953 | 0.3770 | 0.0 | 0.0 | 0.0 | 0.7887 | 0.8138 | 0.8010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6333 | 0.4677 | 0.5380 | 0.0 | 0.0 | 0.0 | 0.9353 | 0.8457 | 0.8883 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2633 | 0.2837 | 0.2731 | 0.0 | 0.0 | 0.0 | 0.7969 | 0.8182 | 0.8074 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2507 | 0.4663 |
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+ | No log | 10.0 | 190 | 0.3927 | 0.4635 | 0.4545 | 0.4589 | 0.8872 | 0.3794 | 0.4230 | 0.4000 | 0.0 | 0.0 | 0.0 | 0.8010 | 0.8138 | 0.8074 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6204 | 0.4992 | 0.5532 | 0.0 | 0.0 | 0.0 | 0.9518 | 0.8404 | 0.8927 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2903 | 0.3070 | 0.2984 | 0.0 | 0.0 | 0.0 | 0.8053 | 0.8182 | 0.8117 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2556 | 0.4808 |
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  ### Framework versions