BaOsa / config.json
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Rename con1fig.json to config.json
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{
"model_type": "CustomModel",
"input_size": 768,
"hidden_size": 128,
"output_size": 2,
"a": 0.5,
"epsilon": 0.1,
"init_weights_range": "-1 to 1",
"architecture": "Single layer linear transformation followed by Ba-inspired activation and another linear transformation.",
"activation_function": "Ba-inspired custom activation",
"num_labels": 2,
"problem_type": "Classification",
"vocab_size": 30522, // Assuming you're using a tokenizer similar to BERT's; adjust accordingly.
"_comment": "This is a custom model configuration. Some fields are specific to this custom implementation and may require custom handling code."
}