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t5_Question_Generation_2
Gayathri142214002/t5_Question_Generation_2
t5_Question_Generation_2 is a machine learning model from Gayathri142214002. 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
- Sep 20, 2023
- Updated
- Sep 28, 2023
- SHA
- 479358f5
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_Question_Generation_2
This model is a fine-tuned version of Gayathri142214002/t5_Question_Generation on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5549
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 1.0256 | 0.25 | 100 | 0.7578 |
| 0.7848 | 0.5 | 200 | 0.6872 |
| 0.6682 | 0.75 | 300 | 0.6440 |
| 0.6444 | 1.0 | 400 | 0.5939 |
| 0.4903 | 1.25 | 500 | 0.5944 |
| 0.4894 | 1.5 | 600 | 0.5675 |
| 0.5001 | 1.75 | 700 | 0.5546 |
| 0.4891 | 2.0 | 800 | 0.5469 |
| 0.3779 | 2.25 | 900 | 0.5523 |
| 0.3802 | 2.5 | 1000 | 0.5609 |
| 0.395 | 2.74 | 1100 | 0.5483 |
| 0.3916 | 2.99 | 1200 | 0.5482 |
| 0.3383 | 3.24 | 1300 | 0.5634 |
| 0.3391 | 3.49 | 1400 | 0.5629 |
| 0.3294 | 3.74 | 1500 | 0.5573 |
| 0.3363 | 3.99 | 1600 | 0.5413 |
| 0.2851 | 4.24 | 1700 | 0.5533 |
| 0.3032 | 4.49 | 1800 | 0.5575 |
| 0.2995 | 4.74 | 1900 | 0.5548 |
| 0.3091 | 4.99 | 2000 | 0.5396 |
| 0.2606 | 5.24 | 2100 | 0.5420 |
| 0.2622 | 5.49 | 2200 | 0.5468 |
| 0.2817 | 5.74 | 2300 | 0.5460 |
| 0.2743 | 5.99 | 2400 | 0.5473 |
| 0.2501 | 6.24 | 2500 | 0.5542 |
| 0.2484 | 6.49 | 2600 | 0.5558 |
| 0.2388 | 6.74 | 2700 | 0.5542 |
| 0.2414 | 6.99 | 2800 | 0.5549 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 20, 2023
- Updated
- Sep 28, 2023