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t5-end2end-questions-generation
abokbot/t5-end2end-questions-generation
t5-end2end-questions-generation is a machine learning model from abokbot. 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 23, 2023
- Updated
- Jun 4, 2023
- SHA
- 461b3030
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-v1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5835
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3236 | 0.95 | 100 | 1.6878 |
| 1.5359 | 1.91 | 200 | 1.6104 |
| 1.5523 | 2.86 | 300 | 1.5967 |
| 1.5121 | 3.82 | 400 | 1.5945 |
| 1.4837 | 4.77 | 500 | 1.5844 |
| 1.4688 | 5.72 | 600 | 1.5872 |
| 1.4392 | 6.68 | 700 | 1.5874 |
| 1.4257 | 7.63 | 800 | 1.5849 |
| 1.4161 | 8.59 | 900 | 1.5833 |
| 1.413 | 9.54 | 1000 | 1.5835 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 23, 2023
- Updated
- Jun 4, 2023