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t5-end2end-questions-generation
oatbibi/t5-end2end-questions-generation
t5-end2end-questions-generation is a machine learning model from oatbibi. 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
- Apr 29, 2023
- Updated
- Apr 29, 2023
- SHA
- 3a7f4d77
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 t5-base on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.5655
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
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.589 | 0.34 | 100 | 1.9141 |
| 1.9691 | 0.68 | 200 | 1.7299 |
| 1.8456 | 1.02 | 300 | 1.6699 |
| 1.743 | 1.35 | 400 | 1.6386 |
| 1.7176 | 1.69 | 500 | 1.6178 |
| 1.694 | 2.03 | 600 | 1.6061 |
| 1.6359 | 2.37 | 700 | 1.5953 |
| 1.6307 | 2.71 | 800 | 1.5893 |
| 1.6172 | 3.05 | 900 | 1.5893 |
| 1.5758 | 3.39 | 1000 | 1.5868 |
| 1.5725 | 3.73 | 1100 | 1.5728 |
| 1.5546 | 4.06 | 1200 | 1.5698 |
| 1.5399 | 4.4 | 1300 | 1.5719 |
| 1.5257 | 4.74 | 1400 | 1.5709 |
| 1.521 | 5.08 | 1500 | 1.5716 |
| 1.5011 | 5.42 | 1600 | 1.5757 |
| 1.4911 | 5.76 | 1700 | 1.5676 |
| 1.505 | 6.1 | 1800 | 1.5666 |
| 1.4808 | 6.44 | 1900 | 1.5673 |
| 1.4839 | 6.77 | 2000 | 1.5655 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 29, 2023
- Updated
- Apr 29, 2023