eyegazer-vit-binary / adapter_config.json
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{
"alpha_pattern": {},
"auto_mapping": {
"base_model_class": "ViTForImageClassification",
"parent_library": "transformers.models.vit.modeling_vit"
},
"base_model_name_or_path": "google/vit-large-patch16-224",
"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": 0.1,
"modules_to_save": [
"classifier"
],
"peft_type": "LORA",
"r": 16,
"rank_pattern": {},
"revision": null,
"target_modules": [
"value",
"query"
],
"task_type": null
}