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mrm8488/bert-base-german-finetuned-ler

The German BERT model was fine-tuned on the Legal-Entity-Recognition dataset for the named entity recognition (NER) task, achieving an F1 score of 85.67% on the evaluation set. The model uses a pre-trained BERT base model and is trained with a provided script from Hugging Face. The labels covered include various types of legal entities, such as companies, organizations, and individuals.

The German BERT model was fine-tuned on the Legal-Entity-Recognition dataset for the named entity recognition (NER) task, achieving an F1 score of 85.67% on the evaluation set. The model uses a pre-trained BERT base model and is trained with a provided script from Hugging Face. The labels covered include various types of legal entities, such as companies, organizations, and individuals.

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$0.0005 / sec
demoapi

025ad559e4cefe898079e3cbaf89f6a54b00636d

2023-03-03T03:03:32+00:00