Training complete
Browse files
README.md
CHANGED
@@ -25,16 +25,16 @@ model-index:
|
|
25 |
metrics:
|
26 |
- name: Precision
|
27 |
type: precision
|
28 |
-
value: 0.
|
29 |
- name: Recall
|
30 |
type: recall
|
31 |
-
value: 0.
|
32 |
- name: F1
|
33 |
type: f1
|
34 |
-
value: 0.
|
35 |
- name: Accuracy
|
36 |
type: accuracy
|
37 |
-
value: 0.
|
38 |
---
|
39 |
|
40 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -44,65 +44,65 @@ should probably proofread and complete it, then remove this comment. -->
|
|
44 |
|
45 |
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the wnut_17 dataset.
|
46 |
It achieves the following results on the evaluation set:
|
47 |
-
- Loss: 0.
|
48 |
-
- Precision: 0.
|
49 |
-
- Recall: 0.
|
50 |
-
- F1: 0.
|
51 |
-
- Accuracy: 0.
|
52 |
-
- Corporation Precision: 0.
|
53 |
-
- Corporation Recall: 0.
|
54 |
-
- Corporation F1: 0.
|
55 |
-
- Creative-work Precision: 0.
|
56 |
-
- Creative-work Recall: 0.
|
57 |
-
- Creative-work F1: 0.
|
58 |
-
- Group Precision: 0.
|
59 |
-
- Group Recall: 0.
|
60 |
-
- Group F1: 0.
|
61 |
-
- Location Precision: 0.
|
62 |
-
- Location Recall: 0.
|
63 |
-
- Location F1: 0.
|
64 |
-
- Person Precision: 0.
|
65 |
- Person Recall: 0.4569
|
66 |
-
- Person F1: 0.
|
67 |
-
- Product Precision: 0.
|
68 |
-
- Product Recall: 0.
|
69 |
-
- Product F1: 0.
|
70 |
-
- B-corporation Precision: 0.
|
71 |
-
- B-corporation Recall: 0.
|
72 |
-
- B-corporation F1: 0.
|
73 |
-
- B-creative-work Precision: 0.
|
74 |
-
- B-creative-work Recall: 0.
|
75 |
-
- B-creative-work F1: 0.
|
76 |
- B-group Precision: 0.4906
|
77 |
- B-group Recall: 0.1576
|
78 |
- B-group F1: 0.2385
|
79 |
-
- B-location Precision: 0.
|
80 |
-
- B-location Recall: 0.
|
81 |
-
- B-location F1: 0.
|
82 |
-
- B-person Precision: 0.
|
83 |
-
- B-person Recall: 0.
|
84 |
-
- B-person F1: 0.
|
85 |
-
- B-product Precision: 0.
|
86 |
-
- B-product Recall: 0.
|
87 |
-
- B-product F1: 0.
|
88 |
-
- I-corporation Precision: 0.
|
89 |
-
- I-corporation Recall: 0.
|
90 |
-
- I-corporation F1: 0.
|
91 |
-
- I-creative-work Precision: 0.
|
92 |
-
- I-creative-work Recall: 0.
|
93 |
-
- I-creative-work F1: 0.
|
94 |
-
- I-group Precision: 0.
|
95 |
-
- I-group Recall: 0.
|
96 |
-
- I-group F1: 0.
|
97 |
-
- I-location Precision: 0.
|
98 |
-
- I-location Recall: 0.
|
99 |
-
- I-location F1: 0.
|
100 |
-
- I-person Precision: 0.
|
101 |
-
- I-person Recall: 0.
|
102 |
-
- I-person F1: 0.
|
103 |
-
- I-product Precision: 0.
|
104 |
-
- I-product Recall: 0.
|
105 |
-
- I-product F1: 0.
|
106 |
|
107 |
## Model description
|
108 |
|
@@ -133,9 +133,9 @@ The following hyperparameters were used during training:
|
|
133 |
|
134 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Corporation Precision | Corporation Recall | Corporation F1 | Creative-work Precision | Creative-work Recall | Creative-work F1 | Group Precision | Group Recall | Group F1 | Location Precision | Location Recall | Location F1 | Person Precision | Person Recall | Person F1 | Product Precision | Product Recall | Product F1 | B-corporation Precision | B-corporation Recall | B-corporation F1 | B-creative-work Precision | B-creative-work Recall | B-creative-work F1 | B-group Precision | B-group Recall | B-group F1 | B-location Precision | B-location Recall | B-location F1 | B-person Precision | B-person Recall | B-person F1 | B-product Precision | B-product Recall | B-product F1 | I-corporation Precision | I-corporation Recall | I-corporation F1 | I-creative-work Precision | I-creative-work Recall | I-creative-work F1 | I-group Precision | I-group Recall | I-group F1 | I-location Precision | I-location Recall | I-location F1 | I-person Precision | I-person Recall | I-person F1 | I-product Precision | I-product Recall | I-product F1 |
|
135 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:---------------------:|:------------------:|:--------------:|:-----------------------:|:--------------------:|:----------------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|
|
136 |
-
| No log | 1.0 | 425 | 0.
|
137 |
-
| 0.
|
138 |
-
| 0.
|
139 |
|
140 |
|
141 |
### Framework versions
|
|
|
25 |
metrics:
|
26 |
- name: Precision
|
27 |
type: precision
|
28 |
+
value: 0.5091743119266054
|
29 |
- name: Recall
|
30 |
type: recall
|
31 |
+
value: 0.3086190917516219
|
32 |
- name: F1
|
33 |
type: f1
|
34 |
+
value: 0.38430467397576457
|
35 |
- name: Accuracy
|
36 |
type: accuracy
|
37 |
+
value: 0.935251256281407
|
38 |
---
|
39 |
|
40 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
44 |
|
45 |
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the wnut_17 dataset.
|
46 |
It achieves the following results on the evaluation set:
|
47 |
+
- Loss: 0.4256
|
48 |
+
- Precision: 0.5092
|
49 |
+
- Recall: 0.3086
|
50 |
+
- F1: 0.3843
|
51 |
+
- Accuracy: 0.9353
|
52 |
+
- Corporation Precision: 0.2188
|
53 |
+
- Corporation Recall: 0.2121
|
54 |
+
- Corporation F1: 0.2154
|
55 |
+
- Creative-work Precision: 0.3768
|
56 |
+
- Creative-work Recall: 0.1831
|
57 |
+
- Creative-work F1: 0.2464
|
58 |
+
- Group Precision: 0.3594
|
59 |
+
- Group Recall: 0.1394
|
60 |
+
- Group F1: 0.2009
|
61 |
+
- Location Precision: 0.5439
|
62 |
+
- Location Recall: 0.4133
|
63 |
+
- Location F1: 0.4697
|
64 |
+
- Person Precision: 0.7538
|
65 |
- Person Recall: 0.4569
|
66 |
+
- Person F1: 0.5689
|
67 |
+
- Product Precision: 0.1446
|
68 |
+
- Product Recall: 0.0945
|
69 |
+
- Product F1: 0.1143
|
70 |
+
- B-corporation Precision: 0.3333
|
71 |
+
- B-corporation Recall: 0.2424
|
72 |
+
- B-corporation F1: 0.2807
|
73 |
+
- B-creative-work Precision: 0.8158
|
74 |
+
- B-creative-work Recall: 0.2183
|
75 |
+
- B-creative-work F1: 0.3444
|
76 |
- B-group Precision: 0.4906
|
77 |
- B-group Recall: 0.1576
|
78 |
- B-group F1: 0.2385
|
79 |
+
- B-location Precision: 0.6606
|
80 |
+
- B-location Recall: 0.48
|
81 |
+
- B-location F1: 0.5560
|
82 |
+
- B-person Precision: 0.8423
|
83 |
+
- B-person Recall: 0.4732
|
84 |
+
- B-person F1: 0.6060
|
85 |
+
- B-product Precision: 0.4792
|
86 |
+
- B-product Recall: 0.1811
|
87 |
+
- B-product F1: 0.2629
|
88 |
+
- I-corporation Precision: 0.3404
|
89 |
+
- I-corporation Recall: 0.2909
|
90 |
+
- I-corporation F1: 0.3137
|
91 |
+
- I-creative-work Precision: 0.4559
|
92 |
+
- I-creative-work Recall: 0.2403
|
93 |
+
- I-creative-work F1: 0.3147
|
94 |
+
- I-group Precision: 0.3333
|
95 |
+
- I-group Recall: 0.1150
|
96 |
+
- I-group F1: 0.1711
|
97 |
+
- I-location Precision: 0.5849
|
98 |
+
- I-location Recall: 0.3263
|
99 |
+
- I-location F1: 0.4189
|
100 |
+
- I-person Precision: 0.7375
|
101 |
+
- I-person Recall: 0.3512
|
102 |
+
- I-person F1: 0.4758
|
103 |
+
- I-product Precision: 0.2206
|
104 |
+
- I-product Recall: 0.1240
|
105 |
+
- I-product F1: 0.1587
|
106 |
|
107 |
## Model description
|
108 |
|
|
|
133 |
|
134 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Corporation Precision | Corporation Recall | Corporation F1 | Creative-work Precision | Creative-work Recall | Creative-work F1 | Group Precision | Group Recall | Group F1 | Location Precision | Location Recall | Location F1 | Person Precision | Person Recall | Person F1 | Product Precision | Product Recall | Product F1 | B-corporation Precision | B-corporation Recall | B-corporation F1 | B-creative-work Precision | B-creative-work Recall | B-creative-work F1 | B-group Precision | B-group Recall | B-group F1 | B-location Precision | B-location Recall | B-location F1 | B-person Precision | B-person Recall | B-person F1 | B-product Precision | B-product Recall | B-product F1 | I-corporation Precision | I-corporation Recall | I-corporation F1 | I-creative-work Precision | I-creative-work Recall | I-creative-work F1 | I-group Precision | I-group Recall | I-group F1 | I-location Precision | I-location Recall | I-location F1 | I-person Precision | I-person Recall | I-person F1 | I-product Precision | I-product Recall | I-product F1 |
|
135 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:---------------------:|:------------------:|:--------------:|:-----------------------:|:--------------------:|:----------------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|
|
136 |
+
| No log | 1.0 | 425 | 0.3964 | 0.4911 | 0.2558 | 0.3364 | 0.9301 | 0.1579 | 0.1364 | 0.1463 | 0.0 | 0.0 | 0.0 | 0.2157 | 0.0667 | 0.1019 | 0.4490 | 0.44 | 0.4444 | 0.7412 | 0.4406 | 0.5526 | 0.0233 | 0.0079 | 0.0118 | 0.2558 | 0.1667 | 0.2018 | 0.0 | 0.0 | 0.0 | 0.52 | 0.0788 | 0.1368 | 0.5703 | 0.4867 | 0.5252 | 0.9019 | 0.4499 | 0.6003 | 0.25 | 0.0079 | 0.0153 | 0.3571 | 0.1818 | 0.2410 | 0.5556 | 0.0388 | 0.0725 | 0.1471 | 0.0442 | 0.0680 | 0.4198 | 0.3579 | 0.3864 | 0.7152 | 0.3512 | 0.4711 | 0.2143 | 0.0744 | 0.1104 |
|
137 |
+
| 0.2016 | 2.0 | 850 | 0.4337 | 0.5407 | 0.2706 | 0.3607 | 0.9327 | 0.1897 | 0.1667 | 0.1774 | 0.3488 | 0.1056 | 0.1622 | 0.3077 | 0.0727 | 0.1176 | 0.5327 | 0.38 | 0.4436 | 0.7837 | 0.4476 | 0.5697 | 0.1042 | 0.0394 | 0.0571 | 0.2979 | 0.2121 | 0.2478 | 0.9048 | 0.1338 | 0.2331 | 0.48 | 0.0727 | 0.1263 | 0.6915 | 0.4333 | 0.5328 | 0.8855 | 0.4685 | 0.6128 | 0.6875 | 0.0866 | 0.1538 | 0.3243 | 0.2182 | 0.2609 | 0.5 | 0.1628 | 0.2456 | 0.25 | 0.0619 | 0.0993 | 0.5660 | 0.3158 | 0.4054 | 0.76 | 0.3393 | 0.4691 | 0.2093 | 0.0744 | 0.1098 |
|
138 |
+
| 0.0823 | 3.0 | 1275 | 0.4256 | 0.5092 | 0.3086 | 0.3843 | 0.9353 | 0.2188 | 0.2121 | 0.2154 | 0.3768 | 0.1831 | 0.2464 | 0.3594 | 0.1394 | 0.2009 | 0.5439 | 0.4133 | 0.4697 | 0.7538 | 0.4569 | 0.5689 | 0.1446 | 0.0945 | 0.1143 | 0.3333 | 0.2424 | 0.2807 | 0.8158 | 0.2183 | 0.3444 | 0.4906 | 0.1576 | 0.2385 | 0.6606 | 0.48 | 0.5560 | 0.8423 | 0.4732 | 0.6060 | 0.4792 | 0.1811 | 0.2629 | 0.3404 | 0.2909 | 0.3137 | 0.4559 | 0.2403 | 0.3147 | 0.3333 | 0.1150 | 0.1711 | 0.5849 | 0.3263 | 0.4189 | 0.7375 | 0.3512 | 0.4758 | 0.2206 | 0.1240 | 0.1587 |
|
139 |
|
140 |
|
141 |
### Framework versions
|