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README.md
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# bert-base-uncased-sst2
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This model is
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It achieves the following results on the evaluation set:
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- eval_samples_per_second: 23.555
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- eval_steps_per_second: 2.944
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- step: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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# bert-base-uncased-sst2
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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.
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It achieves the following results on the evaluation set:
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- torch loss: 0.2819
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- torch accuracy: 0.9243
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- OpenVINO IR accuracy: 0.9243
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### Framework versions
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