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t5-end2end-questions-generation
Edvent/t5-end2end-questions-generation
t5-end2end-questions-generation is a machine learning model from Edvent. 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 4, 2023
- Updated
- Jun 4, 2023
- SHA
- 0d3e306c
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_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:
- Loss: 1.5681
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 |
|---|---|---|---|
| 2.5733 | 0.34 | 100 | 1.9072 |
| 1.9659 | 0.68 | 200 | 1.7279 |
| 1.8436 | 1.02 | 300 | 1.6666 |
| 1.7433 | 1.35 | 400 | 1.6389 |
| 1.7143 | 1.69 | 500 | 1.6149 |
| 1.6904 | 2.03 | 600 | 1.6086 |
| 1.6305 | 2.37 | 700 | 1.5930 |
| 1.6268 | 2.71 | 800 | 1.5896 |
| 1.6151 | 3.05 | 900 | 1.5926 |
| 1.5712 | 3.39 | 1000 | 1.5857 |
| 1.5671 | 3.73 | 1100 | 1.5736 |
| 1.5518 | 4.06 | 1200 | 1.5784 |
| 1.5372 | 4.4 | 1300 | 1.5825 |
| 1.5244 | 4.74 | 1400 | 1.5702 |
| 1.5178 | 5.08 | 1500 | 1.5708 |
| 1.4954 | 5.42 | 1600 | 1.5712 |
| 1.4866 | 5.76 | 1700 | 1.5692 |
| 1.5027 | 6.1 | 1800 | 1.5685 |
| 1.4778 | 6.44 | 1900 | 1.5712 |
| 1.477 | 6.77 | 2000 | 1.5681 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 4, 2023
- Updated
- Jun 4, 2023