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logs/train2_instructpix2pix_3d_3_pad/checkpoints/epoch=000019.ckpt

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logs/train2_instructpix2pix_3d_3_pad/configs/2025-11-04T15-40-04-lightning.yaml

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+lightning:
+  callbacks:
+    image_logger:
+      target: main.ImageLogger
+      params:
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+        max_images: 2
+        increase_log_steps: false
+  trainer:
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+    benchmark: true
+    accumulate_grad_batches: 4
+    check_val_every_n_epoch: 4
+    accelerator: ddp
+    gpus: 0,1,2,3,4,5,6,7

logs/train2_instructpix2pix_3d_3_pad/configs/2025-11-04T15-40-04-project.yaml

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+model:
+  base_learning_rate: 1.0e-05
+  target: ldm.models.diffusion.ddpm_edit.LatentDiffusion
+  params:
+    ckpt_path: stable_diffusion/models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
+    linear_start: 0.00085
+    linear_end: 0.012
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: edited
+    cond_stage_key: edit
+    image_size: 32
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: hybrid
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: true
+    load_ema: false
+    scheduler_config:
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
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+        - 0
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+        - 10000000000000
+        f_start:
+        - 1.0e-06
+        f_max:
+        - 1.0
+        f_min:
+        - 1.0
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel_pseudo3D.UNetModel
+      params:
+        image_size: 32
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+        out_channels: 4
+        model_channels: 320
+        attention_resolutions:
+        - 4
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+        - 1
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+        use_checkpoint: true
+        legacy: false
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
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+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenBioMedCLIPEmbedder
+data:
+  target: main.DataModuleFromConfig
+  params:
+    batch_size: 2
+    num_workers: 8
+    train:
+      target: ldm.data.ct_clip_data_train.CTReportDataset
+      params:
+        data_folder: /workspace/jifu/data/dataset/train_fixed
+        csv_file: /workspace/jifu/data/data_json/radiology_text_reports/train_reports.csv
+    validation:
+      target: ldm.data.ct_clip_data_eval.CTReportDatasetinfer
+      params:
+        data_folder: /workspace/jifu/data/dataset/valid_fixed
+        csv_file: /workspace/jifu/data/data_json/radiology_text_reports/valid_reports.csv
+        labels: /workspace/jifu/data/data_json/multi_abnormality_labels/valid_predicted_labels.csv

logs/train2_instructpix2pix_3d_3_pad/configs/2025-11-05T05-00-07-lightning.yaml

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+lightning:
+  callbacks:
+    image_logger:
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+      params:
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+        max_images: 2
+        increase_log_steps: false
+  trainer:
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+    benchmark: true
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+    accelerator: ddp
+    gpus: 0,1,2,3,4,5,6,7
+    resume_from_checkpoint: logs/train2_instructpix2pix_3d_3_pad/checkpoints/last.ckpt

logs/train2_instructpix2pix_3d_3_pad/configs/2025-11-05T05-00-07-project.yaml

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+model:
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+  target: ldm.models.diffusion.ddpm_edit.LatentDiffusion
+  params:
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+    linear_start: 0.00085
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+    cond_stage_key: edit
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+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
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+        f_min:
+        - 1.0
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel_pseudo3D.UNetModel
+      params:
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+        use_checkpoint: true
+        legacy: false
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
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+          ch: 128
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+          - 1
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+          - 4
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+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenBioMedCLIPEmbedder
+data:
+  target: main.DataModuleFromConfig
+  params:
+    batch_size: 2
+    num_workers: 8
+    train:
+      target: ldm.data.ct_clip_data_train.CTReportDataset
+      params:
+        data_folder: /workspace/jifu/data/dataset/train_fixed
+        csv_file: /workspace/jifu/data/data_json/radiology_text_reports/train_reports.csv
+    validation:
+      target: ldm.data.ct_clip_data_eval.CTReportDatasetinfer
+      params:
+        data_folder: /workspace/jifu/data/dataset/valid_fixed
+        csv_file: /workspace/jifu/data/data_json/radiology_text_reports/valid_reports.csv
+        labels: /workspace/jifu/data/data_json/multi_abnormality_labels/valid_predicted_labels.csv

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