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
2a5c14c
•
1 Parent(s): 0958cd4

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: 0.3873
24
- - Precision: 0.4488
25
- - Recall: 0.4483
26
- - F1: 0.4485
27
- - Accuracy: 0.8907
28
- - Adr Precision: 0.3791
29
- - Adr Recall: 0.4375
30
- - Adr F1: 0.4062
31
  - Disease Precision: 0.0
32
  - Disease Recall: 0.0
33
  - Disease F1: 0.0
34
- - Drug Precision: 0.7527
35
- - Drug Recall: 0.7287
36
- - Drug F1: 0.7405
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: 0.6329
44
- - B-adr Recall: 0.5512
45
- - B-adr F1: 0.5892
46
  - B-disease Precision: 0.0
47
  - B-disease Recall: 0.0
48
  - B-disease F1: 0.0
49
- - B-drug Precision: 0.9718
50
- - B-drug Recall: 0.7340
51
- - B-drug F1: 0.8364
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: 0.3287
59
- - I-adr Recall: 0.3860
60
- - I-adr F1: 0.3551
61
  - I-disease Precision: 0.0
62
  - I-disease Recall: 0.0
63
  - I-disease F1: 0.0
64
- - I-drug Precision: 0.8066
65
- - I-drug Recall: 0.7807
66
- - I-drug F1: 0.7935
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: 0.2574
74
- - Weighted Avg F1: 0.5041
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 | 0.8554 | 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 | 0.6110 | 0.1709 | 0.0901 | 0.1180 | 0.8226 | 0.1709 | 0.1279 | 0.1463 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0699 | 0.0646 | 0.0672 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0067 | 0.0215 |
107
- | No log | 3.0 | 48 | 0.5114 | 0.2118 | 0.1433 | 0.1709 | 0.8496 | 0.2612 | 0.2035 | 0.2288 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.55 | 0.0173 | 0.0336 | 0.0 | 0.0 | 0.0 | 0.984 | 0.6543 | 0.7859 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0918 | 0.0880 | 0.0898 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0909 | 0.1259 |
108
- | No log | 4.0 | 64 | 0.4618 | 0.4412 | 0.3224 | 0.3726 | 0.8660 | 0.3271 | 0.2791 | 0.3012 | 0.0 | 0.0 | 0.0 | 0.9685 | 0.6543 | 0.7810 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6375 | 0.0803 | 0.1427 | 0.0 | 0.0 | 0.0 | 0.9843 | 0.6649 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1209 | 0.1257 | 0.1232 | 0.0 | 0.0 | 0.0 | 0.9685 | 0.6578 | 0.7834 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1843 | 0.2613 |
109
- | No log | 5.0 | 80 | 0.4254 | 0.4072 | 0.3460 | 0.3741 | 0.8679 | 0.3080 | 0.3125 | 0.3102 | 0.0 | 0.0 | 0.0 | 0.9318 | 0.6543 | 0.7688 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5960 | 0.1858 | 0.2833 | 0.0 | 0.0 | 0.0 | 0.9843 | 0.6649 | 0.7937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1381 | 0.1652 | 0.1504 | 0.0 | 0.0 | 0.0 | 0.9394 | 0.6631 | 0.7774 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2005 | 0.3207 |
110
- | No log | 6.0 | 96 | 0.4048 | 0.4377 | 0.4063 | 0.4214 | 0.8835 | 0.3634 | 0.3983 | 0.3800 | 0.0 | 0.0 | 0.0 | 0.8039 | 0.6543 | 0.7214 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6335 | 0.4409 | 0.5200 | 0.0 | 0.0 | 0.0 | 0.9766 | 0.6649 | 0.7911 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2772 | 0.3250 | 0.2992 | 0.0 | 0.0 | 0.0 | 0.8618 | 0.7005 | 0.7729 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2383 | 0.4538 |
111
- | No log | 7.0 | 112 | 0.3952 | 0.4114 | 0.3920 | 0.4015 | 0.8815 | 0.3303 | 0.3663 | 0.3473 | 0.0 | 0.0 | 0.0 | 0.7798 | 0.6968 | 0.7360 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6121 | 0.4126 | 0.4929 | 0.0 | 0.0 | 0.0 | 0.9784 | 0.7234 | 0.8318 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2394 | 0.2926 | 0.2633 | 0.0 | 0.0 | 0.0 | 0.8383 | 0.7487 | 0.7910 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2379 | 0.4388 |
112
- | No log | 8.0 | 128 | 0.3922 | 0.4575 | 0.4411 | 0.4492 | 0.8884 | 0.3821 | 0.4331 | 0.4060 | 0.0 | 0.0 | 0.0 | 0.8210 | 0.7074 | 0.76 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6331 | 0.5354 | 0.5802 | 0.0 | 0.0 | 0.0 | 0.9784 | 0.7234 | 0.8318 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3281 | 0.3788 | 0.3517 | 0.0 | 0.0 | 0.0 | 0.8758 | 0.7540 | 0.8103 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2574 | 0.5010 |
113
- | No log | 9.0 | 144 | 0.3886 | 0.4549 | 0.4391 | 0.4469 | 0.8887 | 0.3815 | 0.4259 | 0.4025 | 0.0 | 0.0 | 0.0 | 0.7771 | 0.7234 | 0.7493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6271 | 0.5244 | 0.5712 | 0.0 | 0.0 | 0.0 | 0.9716 | 0.7287 | 0.8328 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3297 | 0.3770 | 0.3518 | 0.0 | 0.0 | 0.0 | 0.8333 | 0.7754 | 0.8033 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2559 | 0.4971 |
114
- | No log | 10.0 | 160 | 0.3873 | 0.4488 | 0.4483 | 0.4485 | 0.8907 | 0.3791 | 0.4375 | 0.4062 | 0.0 | 0.0 | 0.0 | 0.7527 | 0.7287 | 0.7405 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6329 | 0.5512 | 0.5892 | 0.0 | 0.0 | 0.0 | 0.9718 | 0.7340 | 0.8364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3287 | 0.3860 | 0.3551 | 0.0 | 0.0 | 0.0 | 0.8066 | 0.7807 | 0.7935 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2574 | 0.5041 |
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: 0.3768
24
+ - Precision: 0.4818
25
+ - Recall: 0.4749
26
+ - F1: 0.4784
27
+ - Accuracy: 0.8942
28
+ - Adr Precision: 0.4034
29
+ - Adr Recall: 0.4549
30
+ - Adr F1: 0.4276
31
  - Disease Precision: 0.0
32
  - Disease Recall: 0.0
33
  - Disease F1: 0.0
34
+ - Drug Precision: 0.8075
35
+ - Drug Recall: 0.8032
36
+ - Drug F1: 0.8053
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: 0.6343
44
+ - B-adr Recall: 0.5654
45
+ - B-adr F1: 0.5978
46
  - B-disease Precision: 0.0
47
  - B-disease Recall: 0.0
48
  - B-disease F1: 0.0
49
+ - B-drug Precision: 0.9632
50
+ - B-drug Recall: 0.8351
51
+ - B-drug F1: 0.8946
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: 0.3549
59
+ - I-adr Recall: 0.3932
60
+ - I-adr F1: 0.3731
61
  - I-disease Precision: 0.0
62
  - I-disease Recall: 0.0
63
  - I-disease F1: 0.0
64
+ - I-drug Precision: 0.8270
65
+ - I-drug Recall: 0.8182
66
+ - I-drug F1: 0.8226
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: 0.2688
74
+ - Weighted Avg F1: 0.5224
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 | 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 |
106
+ | 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 |
107
+ | 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 |
108
+ | 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 |
109
+ | 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 |
110
+ | 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 |
111
+ | 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 |
112
+ | 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 |
113
+ | 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 |
114
+ | 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 |
115
 
116
 
117
  ### Framework versions