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checkpoint/epoch_2nd_00000.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:417add804578d77a85a35674855ac0d40e197a55dbe1a809d83ec367b8a62bb3
+size 1499858424

config.yml

@@ -7,11 +7,11 @@ epochs_1st: 20 # number of epochs for first stage training (pre-training)
 epochs_2nd: 100 # number of peochs for second stage training (joint training)
 # first epoch = 3x650
 # second epoch = 2x440
-
+# second stage 1st epoch = 2x300
 batch_size: 2
-max_len: 440 # maximum number of frames
+max_len: 305 # maximum number of frames
 pretrained_model: "epoch_1st_00000.pth"
-second_stage_load_pretrained: false # set to true if the pre-trained model is for 2nd stage
+second_stage_load_pretrained: true # set to true if the pre-trained model is for 2nd stage
 load_only_params: false # set to true if do not want to load epoch numbers and optimizer parameters
 
 F0_path: "Utils/JDC/bst.t7"
@@ -101,7 +101,7 @@ loss_params:
     lambda_diff: 1. # score matching loss (2nd stage)
     
     diff_epoch: 0 # style diffusion starting epoch (2nd stage)
-    joint_epoch: 1000000000000000 # joint training starting epoch (2nd stage)
+    joint_epoch: 30 # joint training starting epoch (2nd stage)
 
 optimizer_params:
   lr: 0.0001 # general learning rate

epoch_1st_00000.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d3b760a25a9a9c67ade5bbb7ad12737f6133f558ebd11277975fc73d91c9734
-size 1210583604
+oid sha256:417add804578d77a85a35674855ac0d40e197a55dbe1a809d83ec367b8a62bb3
+size 1499858424

tensorboard/events.out.tfevents.1742831193.a31e41537750.4050.0

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fc47ed09b85962f915e02da19cebefda7ac84ab0e6b90f59eaaaa4f02a948fbc
+size 156744