bert-base-uncased-squad-v1-jpqd-ov-int8

This model is a fine-tuned version of bert-base-uncased on the squad dataset. It was compressed using NNCF with Optimum Intel following the JPQD question-answering example.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 16
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8.0
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu117
• Datasets 2.8.0
• Tokenizers 0.13.2