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Question_Generation_ComQ_6_2
Gayathri142214002/Question_Generation_ComQ_6_2
Question_Generation_ComQ_6_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
- Jan 24, 2024
- Updated
- Jan 24, 2024
- SHA
- 71f30846
Base models
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. -->
Question_Generation_ComQ_6_2
This model is a fine-tuned version of Gayathri142214002/Question_Generation_ComQ_5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3553
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 |
|---|---|---|---|
| 0.2627 | 0.25 | 100 | 0.2558 |
| 0.3047 | 0.51 | 200 | 0.2629 |
| 0.2856 | 0.76 | 300 | 0.2784 |
| 0.2711 | 1.02 | 400 | 0.2951 |
| 0.2411 | 1.27 | 500 | 0.3052 |
| 0.2528 | 1.53 | 600 | 0.2968 |
| 0.2443 | 1.78 | 700 | 0.2970 |
| 0.2451 | 2.04 | 800 | 0.3079 |
| 0.2095 | 2.29 | 900 | 0.3276 |
| 0.2152 | 2.54 | 1000 | 0.3198 |
| 0.2288 | 2.8 | 1100 | 0.3175 |
| 0.218 | 3.05 | 1200 | 0.3187 |
| 0.1876 | 3.31 | 1300 | 0.3400 |
| 0.2007 | 3.56 | 1400 | 0.3390 |
| 0.2113 | 3.82 | 1500 | 0.3313 |
| 0.2037 | 4.07 | 1600 | 0.3351 |
| 0.1699 | 4.33 | 1700 | 0.3525 |
| 0.1916 | 4.58 | 1800 | 0.3478 |
| 0.1967 | 4.83 | 1900 | 0.3392 |
| 0.1847 | 5.09 | 2000 | 0.3451 |
| 0.165 | 5.34 | 2100 | 0.3496 |
| 0.1737 | 5.6 | 2200 | 0.3508 |
| 0.1699 | 5.85 | 2300 | 0.3494 |
| 0.1652 | 6.11 | 2400 | 0.3527 |
| 0.1605 | 6.36 | 2500 | 0.3531 |
| 0.1623 | 6.62 | 2600 | 0.3548 |
| 0.1507 | 6.87 | 2700 | 0.3553 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 24, 2024
- Updated
- Jan 24, 2024