Added LoRA PCA network

20251102_135320_481765/lightning_logs/version_0/checkpoints/best.ckpt

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20251102_135320_481765/lightning_logs/version_0/checkpoints/last.ckpt

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20251102_135320_481765/manifest.json

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20251102_135320_481765/options.json

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+    "pretrained": true,
+    "manifest_path": null
+  },
+  "interim_dump": true,
+  "dataloader_options": {
+    "shuffle_train": true,
+    "shuffle_validation": false,
+    "num_workers": 8,
+    "batch_size": 128,
+    "interim_dump": true
+  },
+  "logging_options": {
+    "logger": "csv",
+    "maximum_time": "00:48:00:00",
+    "max_epochs": null,
+    "early_stopping_delta": 1e-06,
+    "early_stopping_patience": 20,
+    "tqdm_refresh_rate": 50,
+    "batch_finder": false
+  },
+  "training_options": {
+    "optimizer": "adam",
+    "optimizer_momentum": 0.9,
+    "learning_rate": 0.01,
+    "loss_validation": "mse",
+    "loss_test": [
+      "mse",
+      "sam",
+      "ssim",
+      "psnr"
+    ],
+    "scheduler": {
+      "id": "reduce_on_plateau",
+      "max_iterations": 50,
+      "reduction_factor": 0.1,
+      "patience": 10,
+      "tolerance": 1e-06
+    }
+  },
+  "adaptor_options": {
+    "enable": true,
+    "train_denoiser": false,
+    "grouper": {
+      "group_id": "sequential",
+      "selector_embedder_stages": 2,
+      "selector_transformer_layers": 2,
+      "selector_transformer_hidden_dim": 128,
+      "batched": false
+    },
+    "projection": {
+      "projection_id": "pca",
+      "projection_rank": 3,
+      "ensure_lipschitz": true,
+      "decoder_hidden_channels": 128,
+      "pca_basis_path": null,
+      "encoder_hidden_channels": 64,
+      "encoder_n_layers": 2,
+      "encoder_use_batchnorm": false,
+      "injection_steps": null,
+      "decoder_heads": 4,
+      "decoder_ff_dim": 128,
+      "decoder_layers": 2
+    },
+    "skip": {
+      "skip_id": "none",
+      "attention_kernel_size": 3,
+      "attention_stages": 2
+    },
+    "hook": {
+      "hook_id": "lora",
+      "lora_layers": [
+        {
+          "name": "model.m_head",
+          "rank": 4,
+          "alpha": 4.0,
+          "dropout": 0.0
+        },
+        {
+          "name": "model.m_down1.2.res.2",
+          "rank": 4,
+          "alpha": 4.0,
+          "dropout": 0.0
+        },
+        {
+          "name": "model.m_down2.2.res.2",
+          "rank": 8,
+          "alpha": 8.0,
+          "dropout": 0.0
+        },
+        {
+          "name": "model.m_down3.2.res.2",
+          "rank": 8,
+          "alpha": 8.0,
+          "dropout": 0.0
+        },
+        {
+          "name": "model.m_body.1.res.0",
+          "rank": 8,
+          "alpha": 8.0,
+          "dropout": 0.0
+        },
+        {
+          "name": "model.m_up3.0",
+          "rank": 8,
+          "alpha": 8.0,
+          "dropout": 0.0
+        },
+        {
+          "name": "model.m_up2.0",
+          "rank": 4,
+          "alpha": 4.0,
+          "dropout": 0.0
+        },
+        {
+          "name": "model.m_up1.0",
+          "rank": 2,
+          "alpha": 2.0,
+          "dropout": 0.0
+        }
+      ],
+      "use_spatial_pool": true,
+      "use_spectral_pool": true,
+      "denoiser_layers": [],
+      "feature_dim": 128,
+      "bounded_gamma": true,
+      "groups": 1
+    }
+  }
+}

README.md

@@ -24,7 +24,7 @@ In particular the weights contained in this folder are associated to the followi
 - `20251031_173527_494979` - `film_full`: FiLM full network
 - `20251031_173706_076420` - `lora_medium`: LoRA network with medium hooked layers.
 - `20251031_173750_753297` - `lora_big`: LoRA network with a lot of hooked layers.
-
+- `20251102_135320_481765` - `lora_pca_big`: LoRA network applied on a PCA decomposition.
 
 # Credits