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README.md
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tags:
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- generated_from_keras_callback
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- AVeriTec
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model-index:
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- name: deberta-v3-large-AVeriTeC-nli
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results: []
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license: mit
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language:
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- en
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library_name: transformers
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pipeline_tag: text-classification
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base_model: microsoft/deberta-v3-large
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datasets:
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- chenxwh/AVeriTeC
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---
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---
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model-index:
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- name: deberta-v3-large-AVeriTeC-nli
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results:
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type: text-classification
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dataset:
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name: chenxwh/AVeriTeC
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metrics:
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- name: dev macro F1 score
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type: macro F1 score
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- name: dev accuracy
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type: accuracy
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value: 0.82
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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tags:
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- generated_from_keras_callback
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- AVeriTec
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model-index:
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- name: deberta-v3-large-AVeriTeC-nli
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results:
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type: text-classification
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dataset:
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name: chenxwh/AVeriTeC
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type: chenxwh/AVeriTeC
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metrics:
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- name: dev macro F1 score
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type: macro F1 score
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- name: dev accuracy
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type: accuracy
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value: 0.82
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license: mit
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language:
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- en
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library_name: transformers
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pipeline_tag: text-classification
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base_model: microsoft/deberta-v3-large
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datasets:
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- chenxwh/AVeriTeC
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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