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Question_Generation_ComQ_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: 0.6371
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 |
---|---|---|---|
0.7584 | 0.68 | 50 | 0.6208 |
0.6386 | 1.37 | 100 | 0.5892 |
0.4861 | 2.05 | 150 | 0.5883 |
0.3701 | 2.74 | 200 | 0.6363 |
0.3259 | 3.42 | 250 | 0.6271 |
0.347 | 4.11 | 300 | 0.6165 |
0.2786 | 4.79 | 350 | 0.6287 |
0.2611 | 5.48 | 400 | 0.6314 |
0.247 | 6.16 | 450 | 0.6305 |
0.2395 | 6.85 | 500 | 0.6371 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3