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config.json

@@ -1,16 +1,37 @@
 {
-  "decoder_hidden_dim": 128,
-  "decoder_layers": 2,
-  "dropout_rate": 0.1,
+  "model_type": "ConvLSTMAutoencoder",
+  "architecture": "ConvLSTM Autoencoder",
+  "seq_len": 50,
+  "input_channels": 1,
   "encoder_hidden_dim": 256,
   "encoder_layers": 2,
-  "input_channels": 1,
+  "decoder_hidden_dim": 128,
+  "decoder_layers": 2,
   "latent_size": 4096,
-  "num_classes": 2,
-  "seq_len": 50,
-  "use_batchnorm": true,
   "use_classifier": false,
-  "use_convlstm": true,
+  "num_classes": 2,
   "use_latent_split": false,
-  "use_residual": true
+  "image_size": 128,
+  "dropout_rate": 0.1,
+  "use_convlstm": true,
+  "use_residual": true,
+  "use_batchnorm": true,
+  "loss_type": "l1",
+  "ms_ssim_weight": 1.0,
+  "rec_weight": 0.0,
+  "temporal_weight": 0.05,
+  "loss_description": "MS-SSIM(1.0) + Temporal(0.05)",
+  "learning_rate": 0.0002,
+  "weight_decay": 1e-05,
+  "optimizer": "Adam",
+  "scheduler": "CosineAnnealingLR",
+  "batch_size": 1,
+  "epochs": 10,
+  "gradient_clip": 5.0,
+  "dataset": "https://zenodo.org/records/7912264",
+  "resize": 128,
+  "normalization": "minmax01",
+  "repo_name": "embryo-convlstm-c477cc64-2026-02-18",
+  "date": "2026-02-18",
+  "hash": "02"
 }