First_LLM_Project / adapter_config.json
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Fine tuning on first 10k dataset for 5 epochs, made the model's head as Trainable
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{
"auto_mapping": null,
"base_model_name_or_path": "google/flan-t5-large",
"bias": "none",
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layers_pattern": null,
"layers_to_transform": null,
"lora_alpha": 16,
"lora_dropout": 0.05,
"modules_to_save": null,
"peft_type": "LORA",
"r": 8,
"revision": null,
"target_modules": [
"q",
"v"
],
"task_type": "SEQ_2_SEQ_LM"
}