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  # bert-base-uncased-sst2
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- This model is a fine-tuned version of [textattack/bert-base-uncased-SST-2](https://huggingface.co/textattack/bert-base-uncased-SST-2) on the GLUE SST2 dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.2819
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- - eval_accuracy: 0.9243
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- - eval_runtime: 37.0195
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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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