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t5-end2end-questions-generation
TingChenChang/t5-end2end-questions-generation
t5-end2end-questions-generation is a machine learning model from TingChenChang. 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
- Oct 27, 2022
- Updated
- Oct 28, 2022
- SHA
- 6162c959
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 TingChenChang/t5-end2end-questions-generation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5291
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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 |
|---|---|---|---|
| 1.5711 | 0.4 | 100 | 1.6119 |
| 1.5353 | 0.8 | 200 | 1.6052 |
| 1.502 | 1.2 | 300 | 1.6082 |
| 1.4525 | 1.6 | 400 | 1.5918 |
| 1.4463 | 2.0 | 500 | 1.5847 |
| 1.3885 | 2.4 | 600 | 1.6236 |
| 1.4029 | 2.8 | 700 | 1.5962 |
| 1.3947 | 3.2 | 800 | 1.5932 |
| 1.3685 | 3.6 | 900 | 1.5898 |
| 1.3926 | 4.0 | 1000 | 1.5624 |
| 1.4666 | 4.4 | 1100 | 1.5535 |
| 1.4573 | 4.8 | 1200 | 1.5483 |
| 1.4342 | 5.2 | 1300 | 1.5449 |
| 1.4281 | 5.6 | 1400 | 1.5347 |
| 1.4031 | 6.0 | 1500 | 1.5456 |
| 1.375 | 6.4 | 1600 | 1.5375 |
| 1.3867 | 6.8 | 1700 | 1.5393 |
| 1.3763 | 7.2 | 1800 | 1.5401 |
| 1.357 | 7.6 | 1900 | 1.5361 |
| 1.3568 | 8.0 | 2000 | 1.5295 |
| 1.3503 | 8.4 | 2100 | 1.5377 |
| 1.3335 | 8.8 | 2200 | 1.5353 |
| 1.3416 | 9.2 | 2300 | 1.5288 |
| 1.3179 | 9.6 | 2400 | 1.5324 |
| 1.3276 | 10.0 | 2500 | 1.5291 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu102
- Datasets 2.6.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- Created
- Oct 27, 2022
- Updated
- Oct 28, 2022