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---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: bert-base-uncased-sst2
results: []
---
<!-- 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. -->
# bert-base-uncased-sst2
This model is **exactly the same** as [textattack/bert-base-uncased-SST-2](https://huggingface.co/textattack/bert-base-uncased-SST-2) but is also converted to OpenVINO IR format.
It achieves the following results on the evaluation set:
- torch loss: 0.2819
- torch accuracy: 0.9243
- OpenVINO IR accuracy: 0.9243
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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