Training complete
Browse files
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.
|
24 |
-
- Precision: 0.
|
25 |
-
- Recall: 0.
|
26 |
-
- F1: 0.
|
27 |
-
- Accuracy: 0.
|
28 |
-
- Adr Precision: 0.
|
29 |
-
- Adr Recall: 0.
|
30 |
-
- Adr F1: 0.
|
31 |
- Disease Precision: 0.0
|
32 |
- Disease Recall: 0.0
|
33 |
- Disease F1: 0.0
|
34 |
-
- Drug Precision: 0.
|
35 |
-
- Drug Recall: 0.
|
36 |
-
- Drug F1: 0.
|
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.
|
44 |
-
- B-adr Recall: 0.
|
45 |
-
- B-adr F1: 0.
|
46 |
- B-disease Precision: 0.0
|
47 |
- B-disease Recall: 0.0
|
48 |
- B-disease F1: 0.0
|
49 |
-
- B-drug Precision: 0.
|
50 |
-
- B-drug Recall: 0.
|
51 |
-
- B-drug F1: 0.
|
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.
|
59 |
-
- I-adr Recall: 0.
|
60 |
-
- I-adr F1: 0.
|
61 |
- I-disease Precision: 0.0
|
62 |
- I-disease Recall: 0.0
|
63 |
- I-disease F1: 0.0
|
64 |
-
- I-drug Precision: 0.
|
65 |
-
- I-drug Recall: 0.
|
66 |
-
- I-drug F1: 0.
|
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.
|
74 |
-
- Weighted Avg F1: 0.
|
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.
|
106 |
-
| No log | 2.0 | 32 | 0.
|
107 |
-
| No log | 3.0 | 48 | 0.
|
108 |
-
| No log | 4.0 | 64 | 0.
|
109 |
-
| No log | 5.0 | 80 | 0.
|
110 |
-
| No log | 6.0 | 96 | 0.
|
111 |
-
| No log | 7.0 | 112 | 0.
|
112 |
-
| No log | 8.0 | 128 | 0.
|
113 |
-
| No log | 9.0 | 144 | 0.
|
114 |
-
| No log | 10.0 | 160 | 0.
|
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
|