metadata
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: bert-base-uncased-sst2
results: []
bert-base-uncased-sst2
This model is exactly the same as 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