model_nospace_binary

CKPT.yaml

@@ -1,9 +1,9 @@
 # yamllint disable
-attn_loss: 0.004663344006985426
-attn_weight: 35.35533905029297
+attn_loss: 0.0
+attn_weight: 0.0
 end-of-epoch: true
-epoch: 5
-gate_loss: 0.0033020121045410633
-loss: 0.8078759908676147
-mel_loss: 0.7999106049537659
-unixtime: 1665210947.8861418
+epoch: 128
+gate_loss: 0.0010953631717711687
+loss: 0.44426456093788147
+mel_loss: 0.4431692063808441
+unixtime: 1665297109.2974067

brain.ckpt

@@ -1,3 +1,3 @@
 avg_train_loss: 0.0
-optimizer_step: 920
+optimizer_step: 23552
 step: 0

counter.ckpt

@@ -1 +1 @@
-5
+128

hyperparams.yaml

@@ -13,11 +13,11 @@
 ###################################
 # Experiment Parameters and setup #
 ###################################
-seed: 7234
-__set_seed: !apply:torch.manual_seed [7234]
-output_folder: ./results/tacotron2/7234
-save_folder: ./results/tacotron2/7234/save
-train_log: ./results/tacotron2/7234/train_log.txt
+seed: 9234
+__set_seed: !apply:torch.manual_seed [9234]
+output_folder: ./results/tacotron2/9234
+save_folder: ./results/tacotron2/9234/save
+train_log: ./results/tacotron2/9234/train_log.txt
 epochs: 750
 keep_checkpoint_interval: 50
 
@@ -32,7 +32,7 @@ keep_checkpoint_interval: 50
 progress_samples: true
 
 # The path where the samples will be stored
-progress_sample_path: ./results/tacotron2/7234/samples
+progress_sample_path: ./results/tacotron2/9234/samples
 # The interval, in epochs. For instance, if it is set to 5,
 # progress samples will be output every 5 epochs
 progress_samples_interval: 1
@@ -46,9 +46,9 @@ progress_batch_sample_size: 3
 data_folder: ../../../../LJSpeech-1.1
                           # e.g, /localscratch/ljspeech
 
-train_json: ./results/tacotron2/7234/save/train.json
-valid_json: ./results/tacotron2/7234/save/valid.json
-test_json: ./results/tacotron2/7234/save/test.json
+train_json: ./results/tacotron2/9234/save/train.json
+valid_json: ./results/tacotron2/9234/save/valid.json
+test_json: ./results/tacotron2/9234/save/test.json
 
 splits: [train, valid]
 split_ratio: [90, 10]
@@ -208,7 +208,7 @@ epoch_counter: &id003 !new:speechbrain.utils.epoch_loop.EpochCounter
   limit: 750
 
 train_logger: !new:speechbrain.utils.train_logger.FileTrainLogger
-  save_file: ./results/tacotron2/7234/train_log.txt
+  save_file: ./results/tacotron2/9234/train_log.txt
 
 #annealing_function
 lr_annealing: &id004 !new:speechbrain.nnet.schedulers.IntervalScheduler
@@ -225,22 +225,13 @@ lr_annealing: &id004 !new:speechbrain.nnet.schedulers.IntervalScheduler
 
 #checkpointer
 checkpointer: !new:speechbrain.utils.checkpoints.Checkpointer
-  checkpoints_dir: ./results/tacotron2/7234/save
+  checkpoints_dir: ./results/tacotron2/9234/save
   recoverables:
     model: *id002
     counter: *id003
     scheduler: *id004
 progress_sample_logger: !new:speechbrain.utils.train_logger.ProgressSampleLogger
-  output_path: ./results/tacotron2/7234/samples
+  output_path: ./results/tacotron2/9234/samples
   batch_sample_size: 3
   formats:
     raw_batch: raw
-
-
-text_to_sequence: !name:speechbrain.utils.text_to_sequence.text_to_sequence
-            
-pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
-  loadables:
-    model: !ref <model>
-  paths:
-    model: Daporte/speechbrain_tacotron2_exp/model.ckpt

model.ckpt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35bc1da9ae78fa7d0ffa8a7771e3bc1fde52bde5b51de7596c8b3aa2c262618f
+oid sha256:7b18310779c8d32e1f34eff19600a83843a67be7d599341ef9fef2ef985604ac
 size 112834302

optimizer.ckpt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:459bc00d79101be7dc2d458f3435baf1abd332033d68e6f624ec36247dad7124
-size 225602585
+oid sha256:9804a404d098e71c62b71cd8b2a31cdae83bd26ff3ab7fe7a1c7ec969b7fac45
+size 225603417