adapter_config.json

{
  "add_zero_init_conv_layer": false,
  "auto_mapping": {
    "base_model_class": "PeftWrapperPolicy",
    "parent_library": "__main__"
  },
  "base_model_name_or_path": null,
  "batch_first": true,
  "discriminator_cfg": {
    "batch_first": true,
    "feature_dim": 512,
    "feature_fusion": false,
    "fused_feature_dim": null,
    "hidden_dim": 256,
    "latent_dim": 128,
    "lora_alpha": 32,
    "lora_rank": 32,
    "max_batches_tracked": 2000,
    "momentum": 0.1,
    "num_tokens": 16,
    "type": "autoencoder",
    "use_lora": false,
    "use_momentum": true
  },
  "feature_dim": 512,
  "func_adapter_cfg": {
    "hidden_dim": 256,
    "lora_alpha": 32,
    "lora_rank": 32,
    "use_lora": false
  },
  "inference_mode": true,
  "num_learned_task": 1,
  "out_feature_dim": 512,
  "peft_type": "OUR_ADAPTER",
  "revision": null,
  "structure": {
    "decoder.layers.0": [
      1,
      1
    ],
    "decoder.layers.1": [
      1,
      1
    ],
    "decoder.layers.2": [
      1,
      1
    ],
    "decoder.layers.3": [
      1,
      1
    ],
    "decoder.layers.4": [
      1,
      1
    ],
    "decoder.layers.5": [
      1,
      1
    ]
  },
  "target_modules": ".*velocity_net.(?P<layer_name>decoder.layers).(?P<layer_id>\\d+).mlp",
  "task_type": null,
  "use_trainable_copy": false
}