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mireiaplalis
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bert-finetuned-ner

Token Classification
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bert
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@@ -20,58 +20,58 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2315
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- - Precision: 0.5909
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- - Recall: 0.6789
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- - F1: 0.6318
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- - Accuracy: 0.9259
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- - Adr Precision: 0.5587
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- - Adr Recall: 0.6872
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- - Adr F1: 0.6163
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- - Disease Precision: 0.05
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- - Disease Recall: 0.0312
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- - Disease F1: 0.0385
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- - Drug Precision: 0.8364
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- - Drug Recall: 0.9020
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- - Drug F1: 0.8679
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- - Finding Precision: 0.1389
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- - Finding Recall: 0.1724
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- - Finding F1: 0.1538
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- - Symptom Precision: 0.0
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- - Symptom Recall: 0.0
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- - Symptom F1: 0.0
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- - B-adr Precision: 0.7568
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- - B-adr Recall: 0.8279
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- - B-adr F1: 0.7907
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- - B-disease Precision: 0.5
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- - B-disease Recall: 0.0312
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- - B-disease F1: 0.0588
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- - B-drug Precision: 0.9194
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  - B-drug Recall: 0.9557
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- - B-drug F1: 0.9372
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- - B-finding Precision: 0.5417
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  - B-finding Recall: 0.4483
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- - B-finding F1: 0.4906
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- - B-symptom Precision: 0.0
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- - B-symptom Recall: 0.0
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- - B-symptom F1: 0.0
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- - I-adr Precision: 0.5747
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- - I-adr Recall: 0.6892
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- - I-adr F1: 0.6268
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- - I-disease Precision: 0.3684
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- - I-disease Recall: 0.2414
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- - I-disease F1: 0.2917
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- - I-drug Precision: 0.8732
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- - I-drug Recall: 0.9118
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- - I-drug F1: 0.8921
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- - I-finding Precision: 0.3043
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- - I-finding Recall: 0.2593
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- - I-finding F1: 0.2800
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  - I-symptom Precision: 0.0
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  - I-symptom Recall: 0.0
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  - I-symptom F1: 0.0
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- - Macro Avg F1: 0.4368
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- - Weighted Avg F1: 0.7182
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  ## Model description
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  | 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 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|:------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------:|:-------:|:-----------------:|:--------------:|:----------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:------------:|:---------------:|
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- | No log | 1.0 | 127 | 0.2637 | 0.5378 | 0.6338 | 0.5819 | 0.9129 | 0.4869 | 0.6451 | 0.5550 | 0.0 | 0.0 | 0.0 | 0.7828 | 0.8480 | 0.8141 | 0.125 | 0.0690 | 0.0889 | 0.0 | 0.0 | 0.0 | 0.7377 | 0.7746 | 0.7557 | 0.0 | 0.0 | 0.0 | 0.8927 | 0.9015 | 0.8971 | 1.0 | 0.0690 | 0.1290 | 0.0 | 0.0 | 0.0 | 0.4813 | 0.6362 | 0.5480 | 0.0 | 0.0 | 0.0 | 0.8719 | 0.8676 | 0.8698 | 0.1875 | 0.1111 | 0.1395 | 0.0 | 0.0 | 0.0 | 0.3339 | 0.6592 |
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- | No log | 2.0 | 254 | 0.2329 | 0.5826 | 0.6621 | 0.6198 | 0.9242 | 0.5455 | 0.6677 | 0.6004 | 0.0455 | 0.0312 | 0.0370 | 0.8326 | 0.9020 | 0.8659 | 0.0769 | 0.0690 | 0.0727 | 0.0 | 0.0 | 0.0 | 0.7555 | 0.8075 | 0.7806 | 1.0 | 0.0312 | 0.0606 | 0.9159 | 0.9655 | 0.9400 | 0.6 | 0.3103 | 0.4091 | 0.0 | 0.0 | 0.0 | 0.5677 | 0.6819 | 0.6196 | 0.2727 | 0.2069 | 0.2353 | 0.8846 | 0.9020 | 0.8932 | 0.2667 | 0.1481 | 0.1905 | 0.0 | 0.0 | 0.0 | 0.4129 | 0.7090 |
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- | No log | 3.0 | 381 | 0.2315 | 0.5909 | 0.6789 | 0.6318 | 0.9259 | 0.5587 | 0.6872 | 0.6163 | 0.05 | 0.0312 | 0.0385 | 0.8364 | 0.9020 | 0.8679 | 0.1389 | 0.1724 | 0.1538 | 0.0 | 0.0 | 0.0 | 0.7568 | 0.8279 | 0.7907 | 0.5 | 0.0312 | 0.0588 | 0.9194 | 0.9557 | 0.9372 | 0.5417 | 0.4483 | 0.4906 | 0.0 | 0.0 | 0.0 | 0.5747 | 0.6892 | 0.6268 | 0.3684 | 0.2414 | 0.2917 | 0.8732 | 0.9118 | 0.8921 | 0.3043 | 0.2593 | 0.2800 | 0.0 | 0.0 | 0.0 | 0.4368 | 0.7182 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2301
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+ - Precision: 0.5948
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+ - Recall: 0.6779
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+ - F1: 0.6336
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+ - Accuracy: 0.9265
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+ - Adr Precision: 0.5579
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+ - Adr Recall: 0.6812
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+ - Adr F1: 0.6134
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+ - Disease Precision: 0.2273
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+ - Disease Recall: 0.1562
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+ - Disease F1: 0.1852
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+ - Drug Precision: 0.8136
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+ - Drug Recall: 0.8775
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+ - Drug F1: 0.8443
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+ - Finding Precision: 0.2667
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+ - Finding Recall: 0.2759
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+ - Finding F1: 0.2712
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+ - Symptom Precision: 0.5
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+ - Symptom Recall: 0.0435
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+ - Symptom F1: 0.08
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+ - B-adr Precision: 0.7749
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+ - B-adr Recall: 0.8513
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+ - B-adr F1: 0.8113
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+ - B-disease Precision: 1.0
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+ - B-disease Recall: 0.1562
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+ - B-disease F1: 0.2703
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+ - B-drug Precision: 0.9327
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  - B-drug Recall: 0.9557
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+ - B-drug F1: 0.9440
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+ - B-finding Precision: 0.5909
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  - B-finding Recall: 0.4483
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+ - B-finding F1: 0.5098
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+ - B-symptom Precision: 0.5
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+ - B-symptom Recall: 0.0435
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+ - B-symptom F1: 0.08
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+ - I-adr Precision: 0.5725
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+ - I-adr Recall: 0.6782
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+ - I-adr F1: 0.6209
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+ - I-disease Precision: 0.4091
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+ - I-disease Recall: 0.3103
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+ - I-disease F1: 0.3529
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+ - I-drug Precision: 0.8458
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+ - I-drug Recall: 0.8873
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+ - I-drug F1: 0.8660
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+ - I-finding Precision: 0.3529
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+ - I-finding Recall: 0.2222
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+ - I-finding F1: 0.2727
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  - I-symptom Precision: 0.0
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  - I-symptom Recall: 0.0
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  - I-symptom F1: 0.0
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+ - Macro Avg F1: 0.4728
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+ - Weighted Avg F1: 0.7278
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  ## Model description
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  | 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 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|:------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------:|:-------:|:-----------------:|:--------------:|:----------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:------------:|:---------------:|
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+ | No log | 1.0 | 127 | 0.2653 | 0.5472 | 0.6201 | 0.5814 | 0.9128 | 0.4942 | 0.6376 | 0.5568 | 0.0 | 0.0 | 0.0 | 0.7952 | 0.8186 | 0.8068 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7530 | 0.7731 | 0.7629 | 0.0 | 0.0 | 0.0 | 0.9179 | 0.8818 | 0.8995 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4915 | 0.6325 | 0.5532 | 0.1429 | 0.0345 | 0.0556 | 0.855 | 0.8382 | 0.8465 | 0.3333 | 0.0370 | 0.0667 | 0.0 | 0.0 | 0.0 | 0.3184 | 0.6587 |
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+ | No log | 2.0 | 254 | 0.2307 | 0.5896 | 0.6632 | 0.6242 | 0.9254 | 0.5546 | 0.6722 | 0.6077 | 0.2222 | 0.1875 | 0.2034 | 0.8093 | 0.8529 | 0.8305 | 0.2083 | 0.1724 | 0.1887 | 0.0 | 0.0 | 0.0 | 0.7663 | 0.8263 | 0.7952 | 1.0 | 0.1562 | 0.2703 | 0.9366 | 0.9458 | 0.9412 | 0.625 | 0.3448 | 0.4444 | 0.0 | 0.0 | 0.0 | 0.5649 | 0.6600 | 0.6088 | 0.2963 | 0.2759 | 0.2857 | 0.8495 | 0.8578 | 0.8537 | 0.3846 | 0.1852 | 0.25 | 0.0 | 0.0 | 0.0 | 0.4449 | 0.7127 |
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+ | No log | 3.0 | 381 | 0.2301 | 0.5948 | 0.6779 | 0.6336 | 0.9265 | 0.5579 | 0.6812 | 0.6134 | 0.2273 | 0.1562 | 0.1852 | 0.8136 | 0.8775 | 0.8443 | 0.2667 | 0.2759 | 0.2712 | 0.5 | 0.0435 | 0.08 | 0.7749 | 0.8513 | 0.8113 | 1.0 | 0.1562 | 0.2703 | 0.9327 | 0.9557 | 0.9440 | 0.5909 | 0.4483 | 0.5098 | 0.5 | 0.0435 | 0.08 | 0.5725 | 0.6782 | 0.6209 | 0.4091 | 0.3103 | 0.3529 | 0.8458 | 0.8873 | 0.8660 | 0.3529 | 0.2222 | 0.2727 | 0.0 | 0.0 | 0.0 | 0.4728 | 0.7278 |
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  ### Framework versions