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bert-base-cased-qnli
andeskyl/bert-base-cased-qnli
bert-base-cased-qnli is a machine learning model from andeskyl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model is a fine-tuned version of bert-base-cased on the GLUE QNLI dataset. It achieves the following results on the evaluation set: - Loss: 0.2835 - Accuracy: 0.9077
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At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 24, 2024
- Updated
- Sep 25, 2024
- SHA
- 71bbfcd7
Base models
Datasets
Model card
From the Hugging Face model README
bert-base-cased-qnli
This model is a fine-tuned version of bert-base-cased on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.2835
- Accuracy: 0.9077
Model description
Please refer to this repository.
Intended uses
This model is for the artifact evaluation of the paper "SHAFT: Secure, Handy, Accurate, and Fast Transformer Inference."
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Sep 24, 2024
- Updated
- Sep 25, 2024