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Fine-tuned-T5-for-MCQGenerator
sherwinseah/Fine-tuned-T5-for-MCQGenerator
Fine-tuned-T5-for-MCQGenerator is a machine learning model from sherwinseah. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Aug 7, 2022
- Updated
- Aug 7, 2022
- SHA
- 25a19a5d
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. -->
Fine-tuned-T5-for-MCQGenerator
This model is a fine-tuned version of ramsrigouthamg/t5_squad_v1 on the squad_modified_for_t5_qg 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
Framework versions
- Transformers 4.21.1
- Pytorch 1.11.0+cpu
- Datasets 2.4.0
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- Created
- Aug 7, 2022
- Updated
- Aug 7, 2022