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README.md
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## Evaluation metrics
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- eval_loss = 0.24279939405748557
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- f1_score = 0.8006730836297691
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- precision = 0.8084832904884319
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- recall = 0.7930123311802701
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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import torch
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model_name = "rigonsallauka/english_medical_ner"
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## Evaluation metrics
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- eval_loss = 0.24279939405748557
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- f1_score = 0.8006730836297691
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+
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- precision = 0.8084832904884319
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- recall = 0.7930123311802701
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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model_name = "rigonsallauka/english_medical_ner"
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