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Add README.md
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README.md
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- XLM_R_Galen
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license: mit
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datasets:
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metrics:
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- f1
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model-index:
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- name: IIC/XLM_R_Galen-
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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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# XLM_R_Galen-
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This model is a finetuned version of XLM_R_Galen for the
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Please refer to the original publication for more information TODO LINK
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- XLM_R_Galen
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license: mit
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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/XLM_R_Galen-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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# XLM_R_Galen-ehealth_kd
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This model is a finetuned version of XLM_R_Galen for the eHealth-KD dataset used in a benchmark in the paper TODO. The model has a F1 of 0.83
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Please refer to the original publication for more information TODO LINK
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