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update model card README.md

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  ---
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- license: apache-2.0
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # korean_disease_ner
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- This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0455
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- - Precision: 0.9460
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- - Recall: 0.9475
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- - F1: 0.9467
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- - Accuracy: 0.9873
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0755 | 1.0 | 3025 | 0.0610 | 0.9243 | 0.9204 | 0.9223 | 0.9813 |
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- | 0.0448 | 2.0 | 6050 | 0.0500 | 0.9362 | 0.9400 | 0.9381 | 0.9854 |
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- | 0.0317 | 3.0 | 9075 | 0.0444 | 0.9436 | 0.9424 | 0.9430 | 0.9865 |
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- | 0.0237 | 4.0 | 12100 | 0.0445 | 0.9498 | 0.9418 | 0.9457 | 0.9872 |
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- | 0.0183 | 5.0 | 15125 | 0.0455 | 0.9460 | 0.9475 | 0.9467 | 0.9873 |
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  ### Framework versions
 
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  ---
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+ license: cc-by-sa-4.0
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # korean_disease_ner
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+ This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0422
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+ - Precision: 0.9558
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+ - Recall: 0.9581
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+ - F1: 0.9569
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+ - Accuracy: 0.9897
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0445 | 1.0 | 3025 | 0.0378 | 0.9408 | 0.9585 | 0.9496 | 0.9875 |
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+ | 0.0253 | 2.0 | 6050 | 0.0351 | 0.9510 | 0.9564 | 0.9537 | 0.9890 |
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+ | 0.0175 | 3.0 | 9075 | 0.0338 | 0.9546 | 0.9571 | 0.9558 | 0.9895 |
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+ | 0.0123 | 4.0 | 12100 | 0.0372 | 0.9510 | 0.9640 | 0.9575 | 0.9896 |
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+ | 0.0091 | 5.0 | 15125 | 0.0422 | 0.9558 | 0.9581 | 0.9569 | 0.9897 |
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  ### Framework versions