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bert-finetuned-ner

Token Classification
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bert
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - wnut_17
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: bert-finetuned-ner
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+ results:
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+ - task:
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+ name: Token Classification
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+ type: token-classification
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+ dataset:
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+ name: wnut_17
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+ type: wnut_17
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+ config: wnut_17
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+ split: test
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+ args: wnut_17
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+ metrics:
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+ - name: Precision
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+ type: precision
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+ value: 0.5180180180180181
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+ - name: Recall
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+ type: recall
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+ value: 0.31974050046339203
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+ - name: F1
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+ type: f1
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+ value: 0.39541547277936967
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9357035175879397
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+ ---
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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
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert-finetuned-ner
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+
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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: 0.4235
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+ - Precision: 0.5180
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+ - Recall: 0.3197
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+ - F1: 0.3954
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+ - Accuracy: 0.9357
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+ - Corporation Precision: 0.2222
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+ - Corporation Recall: 0.2121
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+ - Corporation F1: 0.2171
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+ - Creative-work Precision: 0.4462
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+ - Creative-work Recall: 0.2042
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+ - Creative-work F1: 0.2802
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+ - Group Precision: 0.4030
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+ - Group Recall: 0.1636
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+ - Group F1: 0.2328
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+ - Location Precision: 0.5161
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+ - Location Recall: 0.4267
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+ - Location F1: 0.4672
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+ - Person Precision: 0.7747
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+ - Person Recall: 0.4569
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+ - Person F1: 0.5748
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+ - Product Precision: 0.1596
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+ - Product Recall: 0.1181
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+ - Product F1: 0.1357
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+ - B-corporation Precision: 0.3696
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+ - B-corporation Recall: 0.2576
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+ - B-corporation F1: 0.3036
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+ - B-creative-work Precision: 0.75
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+ - B-creative-work Recall: 0.2535
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+ - B-creative-work F1: 0.3789
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+ - B-group Precision: 0.5
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+ - B-group Recall: 0.1636
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+ - B-group F1: 0.2466
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+ - B-location Precision: 0.6293
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+ - B-location Recall: 0.4867
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+ - B-location F1: 0.5489
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+ - B-person Precision: 0.8608
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+ - B-person Recall: 0.4755
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+ - B-person F1: 0.6126
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+ - B-product Precision: 0.4545
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+ - B-product Recall: 0.1969
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+ - B-product F1: 0.2747
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+ - I-corporation Precision: 0.3333
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+ - I-corporation Recall: 0.2727
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+ - I-corporation F1: 0.3
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+ - I-creative-work Precision: 0.4262
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+ - I-creative-work Recall: 0.2016
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+ - I-creative-work F1: 0.2737
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+ - I-group Precision: 0.3478
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+ - I-group Recall: 0.1416
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+ - I-group F1: 0.2013
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+ - I-location Precision: 0.5932
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+ - I-location Recall: 0.3684
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+ - I-location F1: 0.4545
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+ - I-person Precision: 0.7625
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+ - I-person Recall: 0.3631
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+ - I-person F1: 0.4919
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+ - I-product Precision: 0.2222
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+ - I-product Recall: 0.1488
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+ - I-product F1: 0.1782
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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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 | 0.3858 | 0.4406 | 0.2576 | 0.3251 | 0.9303 | 0.0741 | 0.0606 | 0.0667 | 0.0667 | 0.0141 | 0.0233 | 0.1458 | 0.0848 | 0.1073 | 0.3829 | 0.4467 | 0.4123 | 0.7235 | 0.4452 | 0.5512 | 0.0 | 0.0 | 0.0 | 0.2391 | 0.1667 | 0.1964 | 0.0 | 0.0 | 0.0 | 0.375 | 0.0909 | 0.1463 | 0.5137 | 0.5 | 0.5068 | 0.8675 | 0.4732 | 0.6124 | 0.0 | 0.0 | 0.0 | 0.1923 | 0.0909 | 0.1235 | 0.3 | 0.0698 | 0.1132 | 0.1447 | 0.0973 | 0.1164 | 0.3636 | 0.3789 | 0.3711 | 0.7184 | 0.3720 | 0.4902 | 0.0 | 0.0 | 0.0 |
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+ | 0.199 | 2.0 | 850 | 0.4265 | 0.5295 | 0.2743 | 0.3614 | 0.9326 | 0.1444 | 0.1970 | 0.1667 | 0.4583 | 0.1549 | 0.2316 | 0.4483 | 0.0788 | 0.1340 | 0.5263 | 0.4 | 0.4545 | 0.7839 | 0.4312 | 0.5564 | 0.0714 | 0.0236 | 0.0355 | 0.2969 | 0.2879 | 0.2923 | 0.7297 | 0.1901 | 0.3017 | 0.7368 | 0.0848 | 0.1522 | 0.6635 | 0.46 | 0.5433 | 0.8981 | 0.4522 | 0.6016 | 0.5 | 0.0630 | 0.1119 | 0.2090 | 0.2545 | 0.2295 | 0.5581 | 0.1860 | 0.2791 | 0.3 | 0.0531 | 0.0902 | 0.5536 | 0.3263 | 0.4106 | 0.7619 | 0.3333 | 0.4638 | 0.1538 | 0.0496 | 0.075 |
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+ | 0.0799 | 3.0 | 1275 | 0.4235 | 0.5180 | 0.3197 | 0.3954 | 0.9357 | 0.2222 | 0.2121 | 0.2171 | 0.4462 | 0.2042 | 0.2802 | 0.4030 | 0.1636 | 0.2328 | 0.5161 | 0.4267 | 0.4672 | 0.7747 | 0.4569 | 0.5748 | 0.1596 | 0.1181 | 0.1357 | 0.3696 | 0.2576 | 0.3036 | 0.75 | 0.2535 | 0.3789 | 0.5 | 0.1636 | 0.2466 | 0.6293 | 0.4867 | 0.5489 | 0.8608 | 0.4755 | 0.6126 | 0.4545 | 0.1969 | 0.2747 | 0.3333 | 0.2727 | 0.3 | 0.4262 | 0.2016 | 0.2737 | 0.3478 | 0.1416 | 0.2013 | 0.5932 | 0.3684 | 0.4545 | 0.7625 | 0.3631 | 0.4919 | 0.2222 | 0.1488 | 0.1782 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1