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bert-base-uncased-squad-v1-jpqd-ov-int8
helenai/bert-base-uncased-squad-v1-jpqd-ov-int8
bert-base-uncased-squad-v1-jpqd-ov-int8 is a machine learning model from helenai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Feb 21, 2023
- Updated
- Mar 12, 2023
- SHA
- 8bfe414a
Datasets
Model card
From the Hugging Face model README
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
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 21, 2023
- Updated
- Mar 12, 2023