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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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