This model conducts simple post training quantization of textattack/bert-base-uncased-SST-2 on the GLUE SST2 dataset.
It achieves the following results on the evaluation set:
torch loss: 0.2140
torch accuracy: 0.9243
OpenVINO IR accuracy: 0.9174
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
