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bert-finetuned-ner

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bert
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  1. README.md +63 -63
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@@ -25,16 +25,16 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.5091743119266054
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  - name: Recall
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  type: recall
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- value: 0.3086190917516219
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  - name: F1
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  type: f1
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- value: 0.38430467397576457
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  - name: Accuracy
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  type: accuracy
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- value: 0.935251256281407
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  ---
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  <!-- 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. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the wnut_17 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4256
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- - Precision: 0.5092
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- - Recall: 0.3086
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- - F1: 0.3843
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- - Accuracy: 0.9353
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- - Corporation Precision: 0.2188
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- - Corporation Recall: 0.2121
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- - Corporation F1: 0.2154
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- - Creative-work Precision: 0.3768
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- - Creative-work Recall: 0.1831
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- - Creative-work F1: 0.2464
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- - Group Precision: 0.3594
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- - Group Recall: 0.1394
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- - Group F1: 0.2009
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- - Location Precision: 0.5439
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- - Location Recall: 0.4133
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- - Location F1: 0.4697
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- - Person Precision: 0.7538
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- - Person Recall: 0.4569
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- - Person F1: 0.5689
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- - Product Precision: 0.1446
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- - Product Recall: 0.0945
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- - Product F1: 0.1143
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- - B-corporation Precision: 0.3333
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- - B-corporation Recall: 0.2424
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- - B-corporation F1: 0.2807
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- - B-creative-work Precision: 0.8158
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- - B-creative-work Recall: 0.2183
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- - B-creative-work F1: 0.3444
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- - B-group Precision: 0.4906
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- - B-group Recall: 0.1576
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- - B-group F1: 0.2385
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- - B-location Precision: 0.6606
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  - B-location Recall: 0.48
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- - B-location F1: 0.5560
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- - B-person Precision: 0.8423
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- - B-person Recall: 0.4732
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- - B-person F1: 0.6060
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- - B-product Precision: 0.4792
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- - B-product Recall: 0.1811
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- - B-product F1: 0.2629
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- - I-corporation Precision: 0.3404
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- - I-corporation Recall: 0.2909
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- - I-corporation F1: 0.3137
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- - I-creative-work Precision: 0.4559
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- - I-creative-work Recall: 0.2403
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- - I-creative-work F1: 0.3147
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- - I-group Precision: 0.3333
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  - I-group Recall: 0.1150
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- - I-group F1: 0.1711
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- - I-location Precision: 0.5849
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- - I-location Recall: 0.3263
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- - I-location F1: 0.4189
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- - I-person Precision: 0.7375
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  - I-person Recall: 0.3512
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- - I-person F1: 0.4758
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- - I-product Precision: 0.2206
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- - I-product Recall: 0.1240
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- - I-product F1: 0.1587
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  ## Model description
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@@ -133,9 +133,9 @@ The following hyperparameters were used during training:
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  | 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 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:---------------------:|:------------------:|:--------------:|:-----------------------:|:--------------------:|:----------------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|
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- | 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 |
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- | 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 |
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- | 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 |
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  ### Framework versions
 
25
  metrics:
26
  - name: Precision
27
  type: precision
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+ value: 0.5254237288135594
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  - name: Recall
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  type: recall
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+ value: 0.3160333642261353
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  - name: F1
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  type: f1
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+ value: 0.3946759259259259
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9350753768844221
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  ---
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:
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+ - Loss: 0.4362
48
+ - Precision: 0.5254
49
+ - Recall: 0.3160
50
+ - F1: 0.3947
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+ - Accuracy: 0.9351
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+ - Corporation Precision: 0.1833
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+ - Corporation Recall: 0.1667
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+ - Corporation F1: 0.1746
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+ - Creative-work Precision: 0.4308
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+ - Creative-work Recall: 0.1972
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+ - Creative-work F1: 0.2705
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+ - Group Precision: 0.3467
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+ - Group Recall: 0.1576
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+ - Group F1: 0.2167
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+ - Location Precision: 0.55
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+ - Location Recall: 0.44
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+ - Location F1: 0.4889
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+ - Person Precision: 0.8008
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+ - Person Recall: 0.4592
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+ - Person F1: 0.5837
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+ - Product Precision: 0.1566
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+ - Product Recall: 0.1024
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+ - Product F1: 0.1238
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+ - B-corporation Precision: 0.3256
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+ - B-corporation Recall: 0.2121
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+ - B-corporation F1: 0.2569
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+ - B-creative-work Precision: 0.76
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+ - B-creative-work Recall: 0.2676
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+ - B-creative-work F1: 0.3958
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+ - B-group Precision: 0.5179
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+ - B-group Recall: 0.1758
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+ - B-group F1: 0.2624
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+ - B-location Precision: 0.6792
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  - B-location Recall: 0.48
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+ - B-location F1: 0.5625
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+ - B-person Precision: 0.8615
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+ - B-person Recall: 0.4639
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+ - B-person F1: 0.6030
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+ - B-product Precision: 0.4468
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+ - B-product Recall: 0.1654
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+ - B-product F1: 0.2414
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+ - I-corporation Precision: 0.2889
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+ - I-corporation Recall: 0.2364
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+ - I-corporation F1: 0.26
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+ - I-creative-work Precision: 0.45
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+ - I-creative-work Recall: 0.2093
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+ - I-creative-work F1: 0.2857
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+ - I-group Precision: 0.2549
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  - I-group Recall: 0.1150
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+ - I-group F1: 0.1585
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+ - I-location Precision: 0.5606
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+ - I-location Recall: 0.3895
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+ - I-location F1: 0.4596
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+ - I-person Precision: 0.7564
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  - I-person Recall: 0.3512
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+ - I-person F1: 0.4797
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+ - I-product Precision: 0.1972
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+ - I-product Recall: 0.1157
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+ - I-product F1: 0.1458
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  ## Model description
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  | 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 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:---------------------:|:------------------:|:--------------:|:-----------------------:|:--------------------:|:----------------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|:-----------------------:|:--------------------:|:----------------:|:-------------------------:|:----------------------:|:------------------:|:-----------------:|:--------------:|:----------:|:--------------------:|:-----------------:|:-------------:|:------------------:|:---------------:|:-----------:|:-------------------:|:----------------:|:------------:|
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+ | No log | 1.0 | 425 | 0.3879 | 0.5038 | 0.2484 | 0.3327 | 0.9296 | 0.0714 | 0.0455 | 0.0556 | 0.1429 | 0.0070 | 0.0134 | 0.1667 | 0.0909 | 0.1176 | 0.4583 | 0.3667 | 0.4074 | 0.7569 | 0.4499 | 0.5643 | 0.0556 | 0.0079 | 0.0138 | 0.3333 | 0.1364 | 0.1935 | 1.0 | 0.0282 | 0.0548 | 0.4722 | 0.1030 | 0.1692 | 0.6162 | 0.4067 | 0.4900 | 0.9037 | 0.4592 | 0.6090 | 0.5 | 0.0157 | 0.0305 | 0.1111 | 0.0545 | 0.0732 | 0.5 | 0.0155 | 0.0301 | 0.12 | 0.0796 | 0.0957 | 0.4595 | 0.3579 | 0.4024 | 0.7108 | 0.3512 | 0.4701 | 0.125 | 0.0165 | 0.0292 |
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+ | 0.196 | 2.0 | 850 | 0.4338 | 0.5712 | 0.2864 | 0.3815 | 0.9328 | 0.2174 | 0.2273 | 0.2222 | 0.4762 | 0.1408 | 0.2174 | 0.35 | 0.0848 | 0.1366 | 0.5727 | 0.42 | 0.4846 | 0.7992 | 0.4452 | 0.5719 | 0.1463 | 0.0472 | 0.0714 | 0.3208 | 0.2576 | 0.2857 | 0.8065 | 0.1761 | 0.2890 | 0.6 | 0.0909 | 0.1579 | 0.7216 | 0.4667 | 0.5668 | 0.8807 | 0.4476 | 0.5935 | 0.6522 | 0.1181 | 0.2 | 0.2917 | 0.2545 | 0.2718 | 0.6 | 0.1860 | 0.2840 | 0.2857 | 0.0708 | 0.1135 | 0.5625 | 0.3789 | 0.4528 | 0.7566 | 0.3423 | 0.4713 | 0.1765 | 0.0496 | 0.0774 |
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+ | 0.0785 | 3.0 | 1275 | 0.4362 | 0.5254 | 0.3160 | 0.3947 | 0.9351 | 0.1833 | 0.1667 | 0.1746 | 0.4308 | 0.1972 | 0.2705 | 0.3467 | 0.1576 | 0.2167 | 0.55 | 0.44 | 0.4889 | 0.8008 | 0.4592 | 0.5837 | 0.1566 | 0.1024 | 0.1238 | 0.3256 | 0.2121 | 0.2569 | 0.76 | 0.2676 | 0.3958 | 0.5179 | 0.1758 | 0.2624 | 0.6792 | 0.48 | 0.5625 | 0.8615 | 0.4639 | 0.6030 | 0.4468 | 0.1654 | 0.2414 | 0.2889 | 0.2364 | 0.26 | 0.45 | 0.2093 | 0.2857 | 0.2549 | 0.1150 | 0.1585 | 0.5606 | 0.3895 | 0.4596 | 0.7564 | 0.3512 | 0.4797 | 0.1972 | 0.1157 | 0.1458 |
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  ### Framework versions