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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: 0.3503
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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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@@ -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 | 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
 
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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: 0.3506
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+ - Precision: 0.5141
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+ - Recall: 0.5609
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+ - F1: 0.5365
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+ - Accuracy: 0.9010
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+ - Adr Precision: 0.4552
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+ - Adr Recall: 0.5683
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+ - Adr F1: 0.5055
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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: 0.7659
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+ - Drug Recall: 0.8351
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+ - Drug F1: 0.7990
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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: 0.6573
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+ - B-adr Recall: 0.7339
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+ - B-adr F1: 0.6935
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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: 0.9318
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+ - B-drug Recall: 0.8723
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+ - B-drug F1: 0.9011
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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: 0.4521
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+ - I-adr Recall: 0.5422
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+ - I-adr F1: 0.4931
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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: 0.7960
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+ - I-drug Recall: 0.8556
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+ - I-drug F1: 0.8247
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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: 0.2912
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+ - Weighted Avg F1: 0.5966
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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 | 26 | 0.6925 | 0.0 | 0.0 | 0.0 | 0.7877 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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 | 52 | 0.4818 | 0.3775 | 0.2508 | 0.3014 | 0.8527 | 0.2356 | 0.1788 | 0.2033 | 0.0 | 0.0 | 0.0 | 0.9606 | 0.6489 | 0.7746 | 0.0 | 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 | 0.0632 | 0.0592 | 0.0612 | 0.0 | 0.0 | 0.0 | 0.9685 | 0.6578 | 0.7834 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1634 | 0.1890 |
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+ | No log | 3.0 | 78 | 0.4090 | 0.3740 | 0.3234 | 0.3469 | 0.8761 | 0.2779 | 0.2747 | 0.2763 | 0.0 | 0.0 | 0.0 | 0.7697 | 0.6755 | 0.7195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6431 | 0.2583 | 0.3685 | 0.0 | 0.0 | 0.0 | 0.9524 | 0.7447 | 0.8358 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1645 | 0.1813 | 0.1725 | 0.0 | 0.0 | 0.0 | 0.8375 | 0.7166 | 0.7723 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2149 | 0.3628 |
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+ | No log | 4.0 | 104 | 0.3834 | 0.4128 | 0.3562 | 0.3824 | 0.8813 | 0.3096 | 0.3038 | 0.3067 | 0.0 | 0.0 | 0.0 | 0.8274 | 0.7394 | 0.7809 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6346 | 0.4047 | 0.4942 | 0.0 | 0.0 | 0.0 | 0.9664 | 0.7660 | 0.8546 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2382 | 0.2442 | 0.2411 | 0.0 | 0.0 | 0.0 | 0.8735 | 0.7754 | 0.8215 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2411 | 0.4379 |
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+ | No log | 5.0 | 130 | 0.3587 | 0.4437 | 0.4882 | 0.4649 | 0.8960 | 0.3705 | 0.4782 | 0.4175 | 0.0 | 0.0 | 0.0 | 0.7914 | 0.7872 | 0.7893 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6234 | 0.6803 | 0.6506 | 0.0 | 0.0 | 0.0 | 0.9682 | 0.8085 | 0.8812 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3689 | 0.4345 | 0.3990 | 0.0 | 0.0 | 0.0 | 0.8065 | 0.8021 | 0.8043 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2735 | 0.5465 |
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+ | No log | 6.0 | 156 | 0.3549 | 0.4600 | 0.5005 | 0.4794 | 0.8960 | 0.3876 | 0.4913 | 0.4333 | 0.0 | 0.0 | 0.0 | 0.7906 | 0.8032 | 0.7968 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6281 | 0.7102 | 0.6667 | 0.0 | 0.0 | 0.0 | 0.9625 | 0.8191 | 0.8851 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3861 | 0.4596 | 0.4197 | 0.0 | 0.0 | 0.0 | 0.8211 | 0.8342 | 0.8276 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2799 | 0.5619 |
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+ | No log | 7.0 | 182 | 0.3583 | 0.4842 | 0.5333 | 0.5075 | 0.9013 | 0.4205 | 0.5305 | 0.4692 | 0.0 | 0.0 | 0.0 | 0.75 | 0.8298 | 0.7879 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6412 | 0.7260 | 0.6809 | 0.0 | 0.0 | 0.0 | 0.9310 | 0.8617 | 0.8950 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4238 | 0.4794 | 0.4499 | 0.0 | 0.0 | 0.0 | 0.7892 | 0.8610 | 0.8235 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2849 | 0.5774 |
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+ | No log | 8.0 | 208 | 0.3442 | 0.4954 | 0.5455 | 0.5192 | 0.8986 | 0.4320 | 0.5451 | 0.4820 | 0.0 | 0.0 | 0.0 | 0.7670 | 0.8404 | 0.8020 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6561 | 0.7150 | 0.6843 | 0.0 | 0.0 | 0.0 | 0.9326 | 0.8830 | 0.9071 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4279 | 0.5224 | 0.4705 | 0.0 | 0.0 | 0.0 | 0.8010 | 0.8610 | 0.8299 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2892 | 0.5872 |
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+ | No log | 9.0 | 234 | 0.3499 | 0.5075 | 0.5517 | 0.5287 | 0.9003 | 0.4480 | 0.5567 | 0.4964 | 0.0 | 0.0 | 0.0 | 0.7610 | 0.8298 | 0.7939 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6585 | 0.7228 | 0.6892 | 0.0 | 0.0 | 0.0 | 0.9314 | 0.8670 | 0.8981 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4466 | 0.5404 | 0.4890 | 0.0 | 0.0 | 0.0 | 0.7960 | 0.8556 | 0.8247 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2901 | 0.5934 |
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+ | No log | 10.0 | 260 | 0.3506 | 0.5141 | 0.5609 | 0.5365 | 0.9010 | 0.4552 | 0.5683 | 0.5055 | 0.0 | 0.0 | 0.0 | 0.7659 | 0.8351 | 0.7990 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6573 | 0.7339 | 0.6935 | 0.0 | 0.0 | 0.0 | 0.9318 | 0.8723 | 0.9011 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4521 | 0.5422 | 0.4931 | 0.0 | 0.0 | 0.0 | 0.7960 | 0.8556 | 0.8247 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2912 | 0.5966 |
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  ### Framework versions