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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: 0.3768
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- - Precision: 0.4818
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- - Recall: 0.4749
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- - F1: 0.4784
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- - Accuracy: 0.8942
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- - Adr Precision: 0.4034
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- - Adr Recall: 0.4549
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- - Adr F1: 0.4276
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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: 0.6343
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- - B-adr Recall: 0.5654
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- - B-adr F1: 0.5978
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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: 0.9632
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- - B-drug Recall: 0.8351
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- - B-drug F1: 0.8946
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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: 0.3549
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- - I-adr Recall: 0.3932
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- - I-adr F1: 0.3731
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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: 0.8270
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- - I-drug Recall: 0.8182
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- - I-drug F1: 0.8226
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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: 0.2688
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- - Weighted Avg F1: 0.5224
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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 | 0.8076 | 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 | 0.5384 | 0.1984 | 0.1044 | 0.1368 | 0.8425 | 0.2081 | 0.1192 | 0.1516 | 0.0 | 0.0 | 0.0 | 0.1667 | 0.1064 | 0.1299 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9833 | 0.6277 | 0.7662 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0736 | 0.0521 | 0.0610 | 0.0 | 0.0 | 0.0 | 1.0 | 0.1070 | 0.1932 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1020 | 0.1230 |
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- | No log | 3.0 | 57 | 0.4591 | 0.4023 | 0.2866 | 0.3347 | 0.8624 | 0.2761 | 0.2267 | 0.2490 | 0.0 | 0.0 | 0.0 | 0.9466 | 0.6596 | 0.7774 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5625 | 0.0992 | 0.1687 | 0.0 | 0.0 | 0.0 | 0.9846 | 0.6809 | 0.8050 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1178 | 0.1131 | 0.1154 | 0.0 | 0.0 | 0.0 | 0.9690 | 0.6684 | 0.7911 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1880 | 0.2703 |
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- | No log | 4.0 | 76 | 0.4170 | 0.3997 | 0.3183 | 0.3544 | 0.8616 | 0.2945 | 0.2645 | 0.2787 | 0.0 | 0.0 | 0.0 | 0.8063 | 0.6862 | 0.7414 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6596 | 0.0488 | 0.0909 | 0.0 | 0.0 | 0.0 | 0.9592 | 0.75 | 0.8418 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0786 | 0.0862 | 0.0822 | 0.0 | 0.0 | 0.0 | 0.8397 | 0.7005 | 0.7638 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1779 | 0.2324 |
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- | No log | 5.0 | 95 | 0.3934 | 0.4318 | 0.3756 | 0.4018 | 0.8761 | 0.3328 | 0.3241 | 0.3284 | 0.0 | 0.0 | 0.0 | 0.8 | 0.7660 | 0.7826 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6260 | 0.2583 | 0.3657 | 0.0 | 0.0 | 0.0 | 0.9551 | 0.7926 | 0.8663 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1842 | 0.2011 | 0.1923 | 0.0 | 0.0 | 0.0 | 0.8371 | 0.7968 | 0.8164 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2241 | 0.3761 |
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- | No log | 6.0 | 114 | 0.3851 | 0.4452 | 0.3992 | 0.4209 | 0.8863 | 0.3453 | 0.3503 | 0.3478 | 0.0 | 0.0 | 0.0 | 0.8371 | 0.7926 | 0.8142 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6438 | 0.3701 | 0.47 | 0.0 | 0.0 | 0.0 | 0.9745 | 0.8138 | 0.8870 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2438 | 0.2639 | 0.2534 | 0.0 | 0.0 | 0.0 | 0.8531 | 0.8075 | 0.8297 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2440 | 0.4374 |
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- | No log | 7.0 | 133 | 0.3812 | 0.4546 | 0.4309 | 0.4425 | 0.8906 | 0.3636 | 0.3953 | 0.3788 | 0.0 | 0.0 | 0.0 | 0.8371 | 0.7926 | 0.8142 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6225 | 0.4961 | 0.5521 | 0.0 | 0.0 | 0.0 | 0.9745 | 0.8138 | 0.8870 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3067 | 0.3303 | 0.3181 | 0.0 | 0.0 | 0.0 | 0.8580 | 0.8075 | 0.8320 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2589 | 0.4883 |
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- | No log | 8.0 | 152 | 0.3768 | 0.4640 | 0.4483 | 0.4560 | 0.8927 | 0.3804 | 0.4186 | 0.3986 | 0.0 | 0.0 | 0.0 | 0.8021 | 0.7979 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6374 | 0.5150 | 0.5697 | 0.0 | 0.0 | 0.0 | 0.9630 | 0.8298 | 0.8914 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3279 | 0.3609 | 0.3436 | 0.0 | 0.0 | 0.0 | 0.8216 | 0.8128 | 0.8172 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2622 | 0.5017 |
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- | No log | 9.0 | 171 | 0.3767 | 0.4615 | 0.4534 | 0.4574 | 0.8904 | 0.3787 | 0.4244 | 0.4003 | 0.0 | 0.0 | 0.0 | 0.7989 | 0.8032 | 0.8011 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6273 | 0.5433 | 0.5823 | 0.0 | 0.0 | 0.0 | 0.9632 | 0.8351 | 0.8946 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3285 | 0.3662 | 0.3463 | 0.0 | 0.0 | 0.0 | 0.8191 | 0.8235 | 0.8213 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2645 | 0.5080 |
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- | No log | 10.0 | 190 | 0.3768 | 0.4818 | 0.4749 | 0.4784 | 0.8942 | 0.4034 | 0.4549 | 0.4276 | 0.0 | 0.0 | 0.0 | 0.8075 | 0.8032 | 0.8053 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6343 | 0.5654 | 0.5978 | 0.0 | 0.0 | 0.0 | 0.9632 | 0.8351 | 0.8946 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3549 | 0.3932 | 0.3731 | 0.0 | 0.0 | 0.0 | 0.8270 | 0.8182 | 0.8226 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2688 | 0.5224 |
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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: 0.3991
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+ - Precision: 0.4343
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+ - Recall: 0.3889
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+ - F1: 0.4104
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+ - Accuracy: 0.8844
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+ - Adr Precision: 0.3362
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+ - Adr Recall: 0.3387
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+ - Adr F1: 0.3374
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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: 0.8077
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+ - Drug Recall: 0.7819
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+ - Drug F1: 0.7946
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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: 0.6463
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+ - B-adr Recall: 0.3827
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+ - B-adr F1: 0.4807
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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: 0.9463
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+ - B-drug Recall: 0.75
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+ - B-drug F1: 0.8368
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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: 0.2517
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+ - I-adr Recall: 0.2675
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+ - I-adr F1: 0.2594
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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: 0.7790
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+ - I-drug Recall: 0.7540
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+ - I-drug F1: 0.7663
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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: 0.2343
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+ - Weighted Avg F1: 0.4310
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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 | 0.8107 | 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 | 0.5639 | 0.2126 | 0.1382 | 0.1675 | 0.8328 | 0.2139 | 0.1962 | 0.2047 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0213 | 0.0417 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0555 | 0.0628 | 0.0589 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0101 | 0.0234 |
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+ | No log | 3.0 | 48 | 0.4822 | 0.4020 | 0.2835 | 0.3325 | 0.8593 | 0.3002 | 0.2456 | 0.2702 | 0.0 | 0.0 | 0.0 | 0.8571 | 0.5745 | 0.6879 | 0.0 | 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 | 0.0552 | 0.0557 | 0.0554 | 0.0 | 0.0 | 0.0 | 0.9730 | 0.5775 | 0.7248 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1570 | 0.1809 |
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+ | No log | 4.0 | 64 | 0.4422 | 0.4168 | 0.3255 | 0.3655 | 0.8608 | 0.3084 | 0.2820 | 0.2946 | 0.0 | 0.0 | 0.0 | 0.9254 | 0.6596 | 0.7702 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0047 | 0.0094 | 0.0 | 0.0 | 0.0 | 0.9767 | 0.6702 | 0.7950 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0653 | 0.0736 | 0.0692 | 0.0 | 0.0 | 0.0 | 0.9549 | 0.6791 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1667 | 0.1967 |
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+ | No log | 5.0 | 80 | 0.4164 | 0.4113 | 0.3347 | 0.3691 | 0.8649 | 0.3130 | 0.2907 | 0.3014 | 0.0 | 0.0 | 0.0 | 0.8141 | 0.6755 | 0.7384 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5833 | 0.0551 | 0.1007 | 0.0 | 0.0 | 0.0 | 0.9699 | 0.6862 | 0.8037 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0905 | 0.1023 | 0.0960 | 0.0 | 0.0 | 0.0 | 0.8903 | 0.7380 | 0.8070 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1808 | 0.2409 |
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+ | No log | 6.0 | 96 | 0.4044 | 0.4079 | 0.3490 | 0.3762 | 0.8746 | 0.3103 | 0.3009 | 0.3055 | 0.0 | 0.0 | 0.0 | 0.7929 | 0.7128 | 0.7507 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6182 | 0.2142 | 0.3181 | 0.0 | 0.0 | 0.0 | 0.9710 | 0.7128 | 0.8221 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1532 | 0.1706 | 0.1614 | 0.0 | 0.0 | 0.0 | 0.8512 | 0.7647 | 0.8056 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2107 | 0.3430 |
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+ | No log | 7.0 | 112 | 0.4013 | 0.4118 | 0.3797 | 0.3951 | 0.8755 | 0.3155 | 0.3256 | 0.3205 | 0.0 | 0.0 | 0.0 | 0.7696 | 0.7819 | 0.7757 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6202 | 0.2803 | 0.3861 | 0.0 | 0.0 | 0.0 | 0.9524 | 0.7447 | 0.8358 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1751 | 0.2047 | 0.1887 | 0.0 | 0.0 | 0.0 | 0.7696 | 0.7861 | 0.7778 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2188 | 0.3750 |
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+ | No log | 8.0 | 128 | 0.4008 | 0.4297 | 0.3756 | 0.4009 | 0.8820 | 0.3275 | 0.3241 | 0.3258 | 0.0 | 0.0 | 0.0 | 0.8324 | 0.7660 | 0.7978 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6507 | 0.3433 | 0.4495 | 0.0 | 0.0 | 0.0 | 0.9653 | 0.7394 | 0.8373 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2271 | 0.2406 | 0.2337 | 0.0 | 0.0 | 0.0 | 0.8129 | 0.7433 | 0.7765 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2297 | 0.4125 |
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+ | No log | 9.0 | 144 | 0.3987 | 0.4323 | 0.3920 | 0.4112 | 0.8843 | 0.3348 | 0.3430 | 0.3388 | 0.0 | 0.0 | 0.0 | 0.8122 | 0.7819 | 0.7967 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6380 | 0.3969 | 0.4893 | 0.0 | 0.0 | 0.0 | 0.9658 | 0.75 | 0.8443 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2487 | 0.2639 | 0.2561 | 0.0 | 0.0 | 0.0 | 0.7790 | 0.7540 | 0.7663 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2356 | 0.4339 |
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+ | No log | 10.0 | 160 | 0.3991 | 0.4343 | 0.3889 | 0.4104 | 0.8844 | 0.3362 | 0.3387 | 0.3374 | 0.0 | 0.0 | 0.0 | 0.8077 | 0.7819 | 0.7946 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6463 | 0.3827 | 0.4807 | 0.0 | 0.0 | 0.0 | 0.9463 | 0.75 | 0.8368 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2517 | 0.2675 | 0.2594 | 0.0 | 0.0 | 0.0 | 0.7790 | 0.7540 | 0.7663 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2343 | 0.4310 |
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  ### Framework versions