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README.md
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- roberta-large-bne
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license: apache-2.0
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datasets:
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- "
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metrics:
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- f1
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model-index:
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- name: IIC/roberta-large-bne-
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results:
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- task:
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type: token-classification
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dataset:
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name:
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type:
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split: test
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metrics:
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- name: f1
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---
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# roberta-large-bne-
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This model is a finetuned version of roberta-large-bne for the
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Please refer to the original publication for more information TODO LINK
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- roberta-large-bne
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license: apache-2.0
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datasets:
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- "ehealth_kd"
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metrics:
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- f1
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model-index:
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- name: IIC/roberta-large-bne-ehealth_kd
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results:
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- task:
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type: token-classification
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dataset:
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name: eHealth-KD
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type: ehealth_kd
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split: test
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metrics:
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- name: f1
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---
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# roberta-large-bne-ehealth_kd
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This model is a finetuned version of roberta-large-bne for the eHealth-KD dataset used in a benchmark in the paper TODO. The model has a F1 of 0.836
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Please refer to the original publication for more information TODO LINK
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