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t5-end2end-questions-generation
dhifanrazaqa/t5-end2end-questions-generation
t5-end2end-questions-generation is a machine learning model from dhifanrazaqa. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jun 2, 2023
- Updated
- Jun 22, 2023
- SHA
- ca516bfd
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. -->
t5-end2end-questions-generation
This model is a fine-tuned version of muchad/idt5-base on the squad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:
- Loss: 1.8449
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.3156 | 0.34 | 100 | 2.2625 |
| 2.5509 | 0.67 | 200 | 2.0394 |
| 2.3619 | 1.01 | 300 | 1.9596 |
| 2.2501 | 1.34 | 400 | 1.9272 |
| 2.2 | 1.68 | 500 | 1.9074 |
| 2.1682 | 2.02 | 600 | 1.8882 |
| 2.1222 | 2.35 | 700 | 1.8893 |
| 2.0874 | 2.69 | 800 | 1.8722 |
| 2.0751 | 3.03 | 900 | 1.8656 |
| 2.0501 | 3.36 | 1000 | 1.8506 |
| 2.0338 | 3.7 | 1100 | 1.8491 |
| 2.0326 | 4.03 | 1200 | 1.8428 |
| 1.9992 | 4.37 | 1300 | 1.8445 |
| 2.0081 | 4.71 | 1400 | 1.8449 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 2, 2023
- Updated
- Jun 22, 2023