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@@ -7,18 +7,18 @@ tags:
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  - mdeberta-v3-base
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  license: mit
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  datasets:
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- - "bigbio/distemist"
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  metrics:
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  - f1
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  model-index:
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- - name: IIC/mdeberta-v3-base-distemist
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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: distemist
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- type: bigbio/distemist
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  split: test
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  metrics:
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  - name: f1
@@ -28,9 +28,9 @@ pipeline_tag: token-classification
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  ---
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- # mdeberta-v3-base-distemist
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- This model is a finetuned version of mdeberta-v3-base for the distemist dataset used in a benchmark in the paper TODO. The model has a F1 of 0.844
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  Please refer to the original publication for more information TODO LINK
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  - mdeberta-v3-base
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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/mdeberta-v3-base-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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+ # mdeberta-v3-base-ehealth_kd
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+ This model is a finetuned version of mdeberta-v3-base for the eHealth-KD dataset used in a benchmark in the paper TODO. The model has a F1 of 0.844
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  Please refer to the original publication for more information TODO LINK
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