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qwuestion_answering_T5_policy_qa_2
Meziane/qwuestion_answering_T5_policy_qa_2
qwuestion_answering_T5_policy_qa_2 is a question answering model from Meziane. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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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. -->
qwuestion_answering_T5_policy_qa_2
This model is a fine-tuned version of google-t5/t5-small 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 1, 2024
- Updated
- Jul 1, 2024