Use role-based names instead of internal experiment run names

alignment.yaml

@@ -14,10 +14,10 @@
 
 seed: 3407
 __set_seed: !apply:speechbrain.utils.seed_everything [3407]
-output_folder: results/conformer_transducer_char/3407
-output_wer_folder: results/conformer_transducer_char/3407/
-save_folder: results/conformer_transducer_char/3407/save
-train_log: results/conformer_transducer_char/3407/train_log.txt
+output_folder: results/conformer_transducer_char/alignment
+output_wer_folder: results/conformer_transducer_char/alignment/
+save_folder: results/conformer_transducer_char/alignment/save
+train_log: results/conformer_transducer_char/alignment/train_log.txt
 
 # Data files
 data_folder: /home/datasets/LibriTTS
@@ -200,7 +200,7 @@ fea_augment: !new:speechbrain.augment.augmenter.Augmenter
 
 ############################## Pretrained ###################################
 pretrained_source: speechbrain/asr-streaming-conformer-librispeech
-pretrained_save: results/conformer_transducer_char/3407/pretrained
+pretrained_save: results/conformer_transducer_char/alignment/pretrained
 
 
 ############################## Models ##########################################
@@ -327,7 +327,7 @@ noam_annealing: &id018 !new:speechbrain.nnet.schedulers.NoamScheduler
 ############################## Logging and Checkpointing #######################
 
 checkpointer: !new:speechbrain.utils.checkpoints.Checkpointer
-  checkpoints_dir: results/conformer_transducer_char/3407/save
+  checkpoints_dir: results/conformer_transducer_char/alignment/save
   recoverables:
     model: *id017
     scheduler: *id018
@@ -337,7 +337,7 @@ train_logger: !new:speechbrain.utils.train_logger.WandBLogger
   initializer: !name:wandb.init
     project: streamingAlign
     name: subalign
-    dir: results/conformer_transducer_char/3407/wandb
+    dir: results/conformer_transducer_char/alignment/wandb
     reinit: true
     resume: false
 

streaming_asr/chunk_streaming_word_fastemit.yaml

@@ -12,13 +12,13 @@
 
 seed: 3415
 __set_seed: !apply:speechbrain.utils.seed_everything [3415]
-output_folder: results/conformer_transducer_char/3415_fastemit
-output_wer_folder: results/conformer_transducer_char/3415_fastemit/
-save_folder: results/conformer_transducer_char/3407/save
-checkpoint_folder: results/conformer_transducer_char/3415_fastemit/save
-train_log: results/conformer_transducer_char/3415_fastemit/train_log.txt
+output_folder: results/conformer_transducer_char/word_fastemit
+output_wer_folder: results/conformer_transducer_char/word_fastemit/
+save_folder: results/conformer_transducer_char/alignment/save
+checkpoint_folder: results/conformer_transducer_char/word_fastemit/save
+train_log: results/conformer_transducer_char/word_fastemit/train_log.txt
 pretrain_source: speechbrain/asr-streaming-conformer-librispeech
-pretrain_folder: results/conformer_transducer_char/3415_fastemit/pretrained
+pretrain_folder: results/conformer_transducer_char/word_fastemit/pretrained
 
 # Data files
 data_folder: /home/datasets/LibriSpeech
@@ -27,15 +27,15 @@ emilia_train_csv: /home/datasets/Emilia/emilia_en_400h.csv
 
 # CSV files (LibriSpeech, pre-existing from 3409 save)
 train_csv:
-   - results/conformer_transducer_char/3409/train-clean-100.csv
-   - results/conformer_transducer_char/3409/train-clean-360.csv
-   - results/conformer_transducer_char/3409/train-other-500.csv
+   - results/conformer_transducer_char/char_asr/train-clean-100.csv
+   - results/conformer_transducer_char/char_asr/train-clean-360.csv
+   - results/conformer_transducer_char/char_asr/train-other-500.csv
 
-valid_csv: results/conformer_transducer_char/3409/dev-clean.csv
+valid_csv: results/conformer_transducer_char/char_asr/dev-clean.csv
 
 test_csv:
-   - results/conformer_transducer_char/3409/test-clean.csv
-   - results/conformer_transducer_char/3409/test-other.csv
+   - results/conformer_transducer_char/char_asr/test-clean.csv
+   - results/conformer_transducer_char/char_asr/test-other.csv
 
 ckpt_interval_minutes: 5
 # Language model (LM) pretraining
@@ -398,7 +398,7 @@ train_logger: !new:speechbrain.utils.train_logger.WandBLogger
   initializer: !name:wandb.init
     project: streaming-asr
     name: conformer_transducer_char
-    dir: results/conformer_transducer_char/3415_casual/wandb
+    dir: results/conformer_transducer_char/streaming_asr/wandb
     reinit: true
     resume: false