BramVanroy
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README.md
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---
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license: mit
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---
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language:
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- de
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license: mit
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tags:
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- cefr
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- proficiency assessment
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- written text
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datasets:
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- merlin
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- disko
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metrics:
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- {metric_0} # Example: wer. Use metric id from https://hf.co/metrics
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model-index:
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- name: gbert-base-finetuned-cefr
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results:
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- task:
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type: text-classification
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name: CEFR proficiency prediction
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metrics:
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- type: accuracy
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value: 0.8297872340425532
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- type: f1
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value: 0.831662518023171
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- type: precision
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value: 0.8379770347855454
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- type: qwk
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value: 0.9497893050032643
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- type: recall
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value: 0.8297872340425532
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