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Question Generation without Answers : End to End Generation
TrainingArguments
| Parameter | Value |
|---|---|
evaluation_strategy |
epoch |
learning_rate |
2e-5 |
per_device_train_batch_size |
8 |
per_device_eval_batch_size |
8 |
num_train_epochs |
3 |
weight_decay |
0.01 |
save_strategy |
epoch |
disable_tqdm |
False |
gradient_accumulation_steps |
2 |
Note : The batch size and acclumulation steps were decreased during training due to memory constraints.
Note : This model correcly predicts when called in the application but it is currently not giving correct questions in this inference api.
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