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  ---
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  license: apache-2.0
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  datasets:
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- - rigonsallauka/polish_ner_dataset
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  language:
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  - pl
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  metrics:
@@ -41,7 +41,8 @@ PROBLEM`: Diseases, symptoms, and medical conditions.
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  - **Data Augmentation**: The training dataset underwent data augmentation techniques to improve the model's ability to generalize to different text structures.
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  - **Dataset Split**:
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  - **Training Set**: 80%
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- - **Validation Set**: 10%
 
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  - **Test Set**: 10%
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  ## Model Training
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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- model_name = "rigonsallauka/polish_medical_ner"
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  # Load the tokenizer and model
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
 
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  ---
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  license: apache-2.0
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  datasets:
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+ - HUMADEX/polish_ner_dataset
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  language:
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  - pl
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  metrics:
 
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  - **Data Augmentation**: The training dataset underwent data augmentation techniques to improve the model's ability to generalize to different text structures.
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  - **Dataset Split**:
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  - **Training Set**: 80%
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+ -
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+ **Validation Set**: 10%
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  - **Test Set**: 10%
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  ## Model Training
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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+ model_name = "HUMADEX/polish_medical_ner"
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  # Load the tokenizer and model
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  tokenizer = AutoTokenizer.from_pretrained(model_name)