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Question_Generation_ComQ_7
This model is a fine-tuned version of Gayathri142214002/Question_Generation_ComQ_6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2548
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 |
|---|---|---|---|
| 0.2403 | 0.94 | 100 | 0.2070 |
| 0.2145 | 1.88 | 200 | 0.2226 |
| 0.1941 | 2.82 | 300 | 0.2355 |
| 0.1839 | 3.76 | 400 | 0.2418 |
| 0.1795 | 4.69 | 500 | 0.2484 |
| 0.1718 | 5.63 | 600 | 0.2516 |
| 0.1603 | 6.57 | 700 | 0.2548 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gayathri142214002/Question_Generation_ComQ_7") model = AutoModelForSeq2SeqLM.from_pretrained("Gayathri142214002/Question_Generation_ComQ_7", device_map="auto")