Question_Generation_ComQ_16
This model is a fine-tuned version of Gayathri142214002/Question_Generation_ComQ_15 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1983
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 |
---|---|---|---|
0.164 | 0.78 | 100 | 0.1533 |
0.1544 | 1.55 | 200 | 0.1668 |
0.1493 | 2.33 | 300 | 0.1790 |
0.1461 | 3.1 | 400 | 0.1849 |
0.1409 | 3.88 | 500 | 0.1900 |
0.135 | 4.65 | 600 | 0.1935 |
0.1329 | 5.43 | 700 | 0.1950 |
0.1321 | 6.2 | 800 | 0.1978 |
0.1268 | 6.98 | 900 | 0.1983 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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