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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- squad
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model-index:
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- name: test.mobilebert-uncased-squadv1
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results:
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- task:
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name: Question Answering
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type: question-answering
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dataset:
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name: Squadv1
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type: squadv1
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split: validation
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metrics:
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- name: F1
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type: f1
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value: 90.9013
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- name: EM
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type: exact_match
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value: 83.9735
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# test.mobilebert-uncased-squadv1
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This model takes the same weights as [neuralmagic/mobilebert-uncased-finetuned-squadv1](https://huggingface.co/neuralmagic/mobilebert-uncased-finetuned-squadv1) but is converted to OpenVINO IR format.
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Eval results: (pad_to_max_length=True, max_length=384)
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- eval_exact_match: 83.9735
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- eval_f1: 90.9013
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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- Optimum-intel 1.7.0
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- NNCF 2.4.0
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