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  license: apache-2.0
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  base_model: GerMedBERT/medbert-512
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  tags:
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- - generated_from_trainer
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  metrics:
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  - precision
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  - recall
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  model-index:
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  - name: GerMedBert_NORMTOP50_V02_BRONCO
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  results: []
 
 
 
 
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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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  # GerMedBert_NORMTOP50_V02_BRONCO
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- This model is a fine-tuned version of [GerMedBERT/medbert-512](https://huggingface.co/GerMedBERT/medbert-512) on the None dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0166
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  - F1 Score: 0.8624
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  - Transformers 4.40.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  license: apache-2.0
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  base_model: GerMedBERT/medbert-512
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  tags:
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+ - medical
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  metrics:
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  - precision
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  - recall
 
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  model-index:
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  - name: GerMedBert_NORMTOP50_V02_BRONCO
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  results: []
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+ datasets:
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+ - bigbio/bronco
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+ language:
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+ - de
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  ---
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  # GerMedBert_NORMTOP50_V02_BRONCO
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+ This model is a fine-tuned version of [GerMedBERT/medbert-512](https://huggingface.co/GerMedBERT/medbert-512) on the BRONCO150 dataset. The task is to normalize
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+ entities into the top50 codes from the ICD10GM, OPS and ATC catalogue.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0166
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  - F1 Score: 0.8624
 
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  - Transformers 4.40.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.0
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+ - Tokenizers 0.19.1