Question_Generation_ComQ_9
This model is a fine-tuned version of Gayathri142214002/Question_Generation_ComQ_8 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2350
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: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 0.208 | 0.86 | 100 | 0.1829 |
| 0.1923 | 1.72 | 200 | 0.2000 |
| 0.1765 | 2.59 | 300 | 0.2145 |
| 0.1704 | 3.45 | 400 | 0.2209 |
| 0.1688 | 4.31 | 500 | 0.2266 |
| 0.1603 | 5.17 | 600 | 0.2314 |
| 0.1528 | 6.03 | 700 | 0.2337 |
| 0.1499 | 6.9 | 800 | 0.2350 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2