Hugging Face's logo

csNoHug
/
distilbert-base-uncased-finetuned-ner-cadec-active

Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
csNoHug commited on
Commit
93ae107
•
1 Parent(s): e4f283b

Training complete

Browse files
Files changed (1) hide show
  1. README.md +35 -35
README.md CHANGED
@@ -20,58 +20,58 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.4412
24
- - Precision: 0.4150
25
- - Recall: 0.3935
26
- - F1: 0.4039
27
- - Accuracy: 0.8743
28
- - Adr Precision: 0.3457
29
- - Adr Recall: 0.3922
30
- - Adr F1: 0.3675
31
  - Disease Precision: 0.0
32
  - Disease Recall: 0.0
33
  - Disease F1: 0.0
34
- - Drug Precision: 0.7453
35
- - Drug Recall: 0.6090
36
- - Drug F1: 0.6703
37
  - Finding Precision: 0.0
38
  - Finding Recall: 0.0
39
  - Finding F1: 0.0
40
  - Symptom Precision: 0.0
41
  - Symptom Recall: 0.0
42
  - Symptom F1: 0.0
43
- - B-adr Precision: 0.6327
44
- - B-adr Recall: 0.5360
45
- - B-adr F1: 0.5803
46
  - B-disease Precision: 0.0
47
  - B-disease Recall: 0.0
48
  - B-disease F1: 0.0
49
- - B-drug Precision: 0.9536
50
- - B-drug Recall: 0.6275
51
- - B-drug F1: 0.7569
52
  - B-finding Precision: 0.0
53
  - B-finding Recall: 0.0
54
  - B-finding F1: 0.0
55
  - B-symptom Precision: 0.0
56
  - B-symptom Recall: 0.0
57
  - B-symptom F1: 0.0
58
- - I-adr Precision: 0.3171
59
- - I-adr Recall: 0.3569
60
- - I-adr F1: 0.3358
61
  - I-disease Precision: 0.0
62
  - I-disease Recall: 0.0
63
  - I-disease F1: 0.0
64
- - I-drug Precision: 0.8425
65
- - I-drug Recall: 0.6805
66
- - I-drug F1: 0.7529
67
  - I-finding Precision: 0.0
68
  - I-finding Recall: 0.0
69
  - I-finding F1: 0.0
70
  - I-symptom Precision: 0.0
71
  - I-symptom Recall: 0.0
72
  - I-symptom F1: 0.0
73
- - Macro Avg F1: 0.2426
74
- - Weighted Avg F1: 0.4834
75
 
76
  ## Model description
77
 
@@ -102,16 +102,16 @@ The following hyperparameters were used during training:
102
 
103
  | 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 |
104
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|:------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------:|:-------:|:-----------------:|:--------------:|:----------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:------------:|:---------------:|
105
- | No log | 1.0 | 16 | 0.8351 | 0.0 | 0.0 | 0.0 | 0.7726 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
106
- | No log | 2.0 | 32 | 0.6134 | 0.1945 | 0.1326 | 0.1577 | 0.8141 | 0.2006 | 0.1919 | 0.1962 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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 | 0.1023 | 0.1857 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0445 | 0.0519 | 0.0479 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0234 | 0.0357 |
107
- | No log | 3.0 | 48 | 0.5354 | 0.3707 | 0.2591 | 0.3050 | 0.8433 | 0.2612 | 0.2214 | 0.2396 | 0.0 | 0.0 | 0.0 | 0.9378 | 0.5274 | 0.6751 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6628 | 0.0314 | 0.0600 | 0.0 | 0.0 | 0.0 | 0.9920 | 0.5583 | 0.7145 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0717 | 0.0736 | 0.0726 | 0.0 | 0.0 | 0.0 | 0.9882 | 0.5307 | 0.6905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1538 | 0.2005 |
108
- | No log | 4.0 | 64 | 0.4985 | 0.3865 | 0.2823 | 0.3263 | 0.8498 | 0.2805 | 0.2491 | 0.2639 | 0.0 | 0.0 | 0.0 | 0.9429 | 0.5480 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7011 | 0.0860 | 0.1532 | 0.0 | 0.0 | 0.0 | 0.9829 | 0.5691 | 0.7209 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0971 | 0.1036 | 0.1002 | 0.0 | 0.0 | 0.0 | 0.9762 | 0.5542 | 0.7070 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1681 | 0.2455 |
109
- | No log | 5.0 | 80 | 0.4648 | 0.3699 | 0.3099 | 0.3373 | 0.8555 | 0.2758 | 0.2817 | 0.2787 | 0.0 | 0.0 | 0.0 | 0.8730 | 0.5731 | 0.6919 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6282 | 0.2127 | 0.3178 | 0.0 | 0.0 | 0.0 | 0.9750 | 0.5943 | 0.7384 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1388 | 0.1654 | 0.1509 | 0.0 | 0.0 | 0.0 | 0.9095 | 0.5894 | 0.7152 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1922 | 0.3240 |
110
- | No log | 6.0 | 96 | 0.4521 | 0.3858 | 0.3462 | 0.3649 | 0.8659 | 0.3021 | 0.3311 | 0.3159 | 0.0 | 0.0 | 0.0 | 0.8378 | 0.5839 | 0.6882 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6235 | 0.4111 | 0.4955 | 0.0 | 0.0 | 0.0 | 0.9695 | 0.5987 | 0.7403 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2352 | 0.2718 | 0.2522 | 0.0 | 0.0 | 0.0 | 0.8953 | 0.6173 | 0.7308 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2219 | 0.4222 |
111
- | No log | 7.0 | 112 | 0.4401 | 0.3818 | 0.3471 | 0.3636 | 0.8670 | 0.3023 | 0.3295 | 0.3153 | 0.0 | 0.0 | 0.0 | 0.7662 | 0.5937 | 0.6690 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6297 | 0.4026 | 0.4912 | 0.0 | 0.0 | 0.0 | 0.9566 | 0.6131 | 0.7473 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2293 | 0.2661 | 0.2463 | 0.0 | 0.0 | 0.0 | 0.8524 | 0.6516 | 0.7386 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2223 | 0.4204 |
112
- | No log | 8.0 | 128 | 0.4457 | 0.4104 | 0.3754 | 0.3921 | 0.8719 | 0.3365 | 0.3697 | 0.3523 | 0.0 | 0.0 | 0.0 | 0.7706 | 0.5964 | 0.6724 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6325 | 0.4941 | 0.5548 | 0.0 | 0.0 | 0.0 | 0.9607 | 0.6140 | 0.7492 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2955 | 0.3279 | 0.3109 | 0.0 | 0.0 | 0.0 | 0.8663 | 0.6606 | 0.7496 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2364 | 0.4651 |
113
- | No log | 9.0 | 144 | 0.4409 | 0.4104 | 0.3911 | 0.4005 | 0.8740 | 0.3411 | 0.3903 | 0.3641 | 0.0 | 0.0 | 0.0 | 0.7478 | 0.6036 | 0.6680 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6279 | 0.5404 | 0.5809 | 0.0 | 0.0 | 0.0 | 0.9533 | 0.6230 | 0.7535 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3126 | 0.3531 | 0.3316 | 0.0 | 0.0 | 0.0 | 0.8482 | 0.6760 | 0.7524 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2418 | 0.4819 |
114
- | No log | 10.0 | 160 | 0.4412 | 0.4150 | 0.3935 | 0.4039 | 0.8743 | 0.3457 | 0.3922 | 0.3675 | 0.0 | 0.0 | 0.0 | 0.7453 | 0.6090 | 0.6703 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6327 | 0.5360 | 0.5803 | 0.0 | 0.0 | 0.0 | 0.9536 | 0.6275 | 0.7569 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3171 | 0.3569 | 0.3358 | 0.0 | 0.0 | 0.0 | 0.8425 | 0.6805 | 0.7529 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2426 | 0.4834 |
115
 
116
 
117
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.3960
24
+ - Precision: 0.4297
25
+ - Recall: 0.3910
26
+ - F1: 0.4094
27
+ - Accuracy: 0.8851
28
+ - Adr Precision: 0.3380
29
+ - Adr Recall: 0.3474
30
+ - Adr F1: 0.3427
31
  - Disease Precision: 0.0
32
  - Disease Recall: 0.0
33
  - Disease F1: 0.0
34
+ - Drug Precision: 0.7857
35
+ - Drug Recall: 0.7606
36
+ - Drug F1: 0.7730
37
  - Finding Precision: 0.0
38
  - Finding Recall: 0.0
39
  - Finding F1: 0.0
40
  - Symptom Precision: 0.0
41
  - Symptom Recall: 0.0
42
  - Symptom F1: 0.0
43
+ - B-adr Precision: 0.6115
44
+ - B-adr Recall: 0.4189
45
+ - B-adr F1: 0.4972
46
  - B-disease Precision: 0.0
47
  - B-disease Recall: 0.0
48
  - B-disease F1: 0.0
49
+ - B-drug Precision: 0.9605
50
+ - B-drug Recall: 0.7766
51
+ - B-drug F1: 0.8588
52
  - B-finding Precision: 0.0
53
  - B-finding Recall: 0.0
54
  - B-finding F1: 0.0
55
  - B-symptom Precision: 0.0
56
  - B-symptom Recall: 0.0
57
  - B-symptom F1: 0.0
58
+ - I-adr Precision: 0.2584
59
+ - I-adr Recall: 0.2621
60
+ - I-adr F1: 0.2602
61
  - I-disease Precision: 0.0
62
  - I-disease Recall: 0.0
63
  - I-disease F1: 0.0
64
+ - I-drug Precision: 0.8362
65
+ - I-drug Recall: 0.7914
66
+ - I-drug F1: 0.8132
67
  - I-finding Precision: 0.0
68
  - I-finding Recall: 0.0
69
  - I-finding F1: 0.0
70
  - I-symptom Precision: 0.0
71
  - I-symptom Recall: 0.0
72
  - I-symptom F1: 0.0
73
+ - Macro Avg F1: 0.2429
74
+ - Weighted Avg F1: 0.4447
75
 
76
  ## Model description
77
 
 
102
 
103
  | 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 |
104
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|:------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------:|:-------:|:-----------------:|:--------------:|:----------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:------------:|:---------------:|
105
+ | 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 |
106
+ | 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 |
107
+ | 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 |
108
+ | 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 |
109
+ | 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 |
110
+ | 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 |
111
+ | 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 |
112
+ | 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 |
113
+ | 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 |
114
+ | 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 |
115
 
116
 
117
  ### Framework versions