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bert-base-uncased-prefix-tuning-squad
anas-awadalla/bert-base-uncased-prefix-tuning-squad
bert-base-uncased-prefix-tuning-squad is a machine learning model from anas-awadalla. 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.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Jun 7, 2022
Repo size
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 7, 2022
- Updated
- Jun 7, 2022
- SHA
- 55e1459b
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-base-uncased-prefix-tuning
This model is a fine-tuned version of bert-base-uncased on the squad dataset.
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.0.0
- Tokenizers 0.11.6
- License
- apache-2.0
- Created
- Jun 7, 2022
- Updated
- Jun 7, 2022