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  1. README.md +10 -16
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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:
@@ -22,6 +9,7 @@ model-index:
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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
@@ -35,9 +23,15 @@ model-index:
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  - name: dev accuracy
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  type: accuracy
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  value: 0.82
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- source:
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- name: Open LLM Leaderboard
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
 
 
 
 
 
 
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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:
3
  - generated_from_keras_callback
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  - AVeriTec
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  model-index:
6
  - 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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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should