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mou3az
/
IT-General_Question-Generation

PEFT
Safetensors
English
IT purpose
General purpose
Text2text Generation
Model card Files
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- ### Model Card
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  # Information:
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  Evaluation Loss: 1.109059
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- ### Loading the model
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  ```python
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  from peft import PeftModel, PeftConfig
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  QG_model = PeftModel.from_pretrained(model, peft_model_id)
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  ```
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- ### At inference time
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  ```python
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  def get_question(context, answer):
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  return out
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  ```
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- ### Training parameters and hyperparameters
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  The following were used during training:
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  lr_scheduler_type="linear"
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- ### Training Results
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  | Epoch | Training Loss | Validation Loss |
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  |-------|---------------|-----------------|
 
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+ ### Model Card ###
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  # Information:
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  Evaluation Loss: 1.109059
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+ ### Loading the model ###
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  ```python
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  from peft import PeftModel, PeftConfig
 
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  QG_model = PeftModel.from_pretrained(model, peft_model_id)
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  ```
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+ ### At inference time ###
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  ```python
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  def get_question(context, answer):
 
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  return out
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  ```
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+ ### Training parameters and hyperparameters ###
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  The following were used during training:
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  lr_scheduler_type="linear"
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+ ### Training Results ###
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  | Epoch | Training Loss | Validation Loss |
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  |-------|---------------|-----------------|