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modern-bert-finetuned-qaconv
MahmoudAbdelWahed/modern-bert-finetuned-qaconv
modern-bert-finetuned-qaconv is a question answering model from MahmoudAbdelWahed. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- modernbert
- Access
- Public
- Created
- Apr 2, 2025
- Updated
- Apr 3, 2025
- SHA
- ba57bd5b
Try a prompt
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. -->
modern-bert-finetuned-qaconv
This model was trained from scratch on an unknown 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.51.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Question Answering
- Library
- transformers
- Type
- modernbert
- Created
- Apr 2, 2025
- Updated
- Apr 3, 2025