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unet_sr_baseline/metrics/config.json

@@ -0,0 +1,51 @@
+{
+    "train_dataset": "./data/train_dataset.csv",
+    "valid_dataset": "./data/eval_dataset.csv",
+    "train_duration": 0.38,
+    "valid_test_duration": 3.0,
+    "train_loader_length": null,
+    "batch_size": 32,
+    "num_workers": 16,
+    "num_epochs": 500,
+    "steps_per_sampler": 50000,
+    "learning_rate": 0.0001,
+    "encoder_dim": 64,
+    "encoder_rates": [
+        2,
+        4,
+        8,
+        8
+    ],
+    "latent_dim": null,
+    "decoder_dim": 512,
+    "decoder_rates": [
+        8,
+        8,
+        4,
+        2
+    ],
+    "n_codebooks": 4,
+    "codebook_size": 1024,
+    "codebook_dim": 8,
+    "quantizer_dropout": 0.5,
+    "sample_rate": 48000,
+    "commitment_loss_weight": 0.25,
+    "codebook_loss_weight": 1.0,
+    "l1loss": 1.0,
+    "stftloss": 0.0,
+    "melloss": 1.0,
+    "adam_beta1": 0.9,
+    "adam_beta2": 0.999,
+    "adam_weight_decay": 0.01,
+    "adam_epsilon": 1e-08,
+    "lr_scheduler_type": "cosine",
+    "num_warmup_steps": 0,
+    "gradient_accumulation_steps": 1,
+    "max_train_steps": 25000000,
+    "num_train_epochs": 500,
+    "device": "cuda",
+    "experiment_dir": "./exp",
+    "experiment_name": "mel1_wave1_no_adv",
+    "checkpoint_dir": "checkpoints",
+    "test_output_dir": "test_outputs"
+}