---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: test.mobilebert-uncased-squadv1
  results:
  - task:
      name: Question Answering
      type: question-answering
    dataset:
      name: Squadv1
      type: squadv1
      split: validation
    metrics:
    - name: F1
      type: f1
      value: 90.9013
    - name: EM
      type: exact_match
      value: 83.9735
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test.mobilebert-uncased-squadv1

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.

Eval results: (pad_to_max_length=True, max_length=384)

- torch model eval_exact_match: 83.9735
- torch model eval_f1: 90.9013



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Optimum-intel 1.7.0
- NNCF 2.4.0
- Openvino-dev 2023.0.0.dev20230217