pix2Struct-peft-docvqa-bks-v2.0 / adapter_config.json
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{
"base_model_name_or_path": "google/pix2struct-docvqa-base",
"bias": "lora_only",
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"lora_alpha": 8,
"lora_dropout": 0.1,
"modules_to_save": [],
"peft_type": "LORA",
"r": 16,
"target_modules": [
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"encoder.encoder.layer.0.attention.key",
"encoder.encoder.layer.0.attention.value",
"decoder.layer.1.self_attention.attention.query",
"decoder.layer.1.self_attention.attention.key",
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"decoder.layer.1.encoder_decoder_attention.attention.query",
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"encoder.encoder.layer.1.attention.query",
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"decoder.layer.2.self_attention.attention.query",
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"decoder.layer.3.self_attention.attention.query",
"decoder.layer.3.self_attention.attention.key",
"decoder.layer.3.self_attention.attention.value",
"decoder.layer.3.encoder_decoder_attention.attention.query",
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"encoder.encoder.layer.3.attention.query",
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"decoder.layer.5.self_attention.attention.query",
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"decoder.layer.6.self_attention.attention.query",
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"encoder.encoder.layer.6.attention.query",
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"encoder.encoder.layer.6.attention.value",
"decoder.layer.7.self_attention.attention.query",
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"decoder.layer.8.self_attention.attention.query",
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"decoder.layer.8.encoder_decoder_attention.attention.query",
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"decoder.layer.9.self_attention.attention.query",
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"decoder.layer.10.self_attention.attention.query",
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"encoder.encoder.layer.11.attention.query",
"encoder.encoder.layer.11.attention.key",
"encoder.encoder.layer.11.attention.value"
],
"task_type": null
}