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t5_Question_Generation_3
This model is a fine-tuned version of Gayathri142214002/t5_Question_Generation_2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4250
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 |
|---|---|---|---|
| 0.5741 | 0.39 | 500 | 0.4854 |
| 0.5319 | 0.78 | 1000 | 0.4408 |
| 0.4804 | 1.17 | 1500 | 0.4402 |
| 0.4163 | 1.57 | 2000 | 0.4260 |
| 0.4199 | 1.96 | 2500 | 0.4183 |
| 0.355 | 2.35 | 3000 | 0.4318 |
| 0.3643 | 2.74 | 3500 | 0.4217 |
| 0.3437 | 3.13 | 4000 | 0.4291 |
| 0.3187 | 3.52 | 4500 | 0.4280 |
| 0.3294 | 3.91 | 5000 | 0.4160 |
| 0.2915 | 4.31 | 5500 | 0.4248 |
| 0.2949 | 4.7 | 6000 | 0.4236 |
| 0.2902 | 5.09 | 6500 | 0.4176 |
| 0.267 | 5.48 | 7000 | 0.4244 |
| 0.2722 | 5.87 | 7500 | 0.4216 |
| 0.2537 | 6.26 | 8000 | 0.4269 |
| 0.2532 | 6.65 | 8500 | 0.4250 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
