initial idea json

code:idea.json

ideas = [

{

"Name": "batch_size_grokking",

"Title": "Batch Size Grokking: Assessing the impact of the training batchsize on the grokking phenomenon",

"Experiment": "Modify the experiments to dynamically adjust the batch size during training, starting with a small batch size and gradually increasing it. This could potentially lead to faster generalization on the validation set.",

"Interestingness": 6,

"Feasibility": 4,

"Novelty": 4,

"novel": True

},

{

"Name": "model_size_grokking",

"Title": "Investigating the Impact of Model Size on the Grokking Phenomenon",

"Experiment": "Modify the Transformer class to accept a variable number of layers and dimension sizes. Test models with 1, 2, 4, and 8 layers, and dimension sizes of 64, 128, 256, and 512. For each dataset and model size, track the step at which grokking occurs (defined as validation accuracy exceeding 99%) and final accuracy vs model size for each task.",

"Interestingness": 8,

"Feasibility": 7,

"Novelty": 7,

"novel": True

}

]

# Print the hypothetical JSON structure

print(json.dumps(ideas, indent=4))