2023-06-17 16:21:17,429 INFO [train.py:1064] (2/4) Training started
2023-06-17 16:21:17,429 INFO [train.py:1074] (2/4) Device: cuda:2
2023-06-17 16:21:19,154 INFO [lexicon.py:168] (2/4) Loading pre-compiled data/lang_char/Linv.pt
2023-06-17 16:21:19,380 INFO [train.py:1085] (2/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c51a0b9684442a88ee37f3ce0af686a04b66855b', 'k2-git-date': 'Mon May 1 21:38:03 2023', 'lhotse-version': '1.14.0.dev+git.0f812851.dirty', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'zipformer_wenetspeech', 'icefall-git-sha1': '802bf98-dirty', 'icefall-git-date': 'Fri Jun 16 18:26:55 2023', 'icefall-path': '/star-kw/kangwei/code/icefall_wenetspeech', 'k2-path': '/ceph-hw/kangwei/code/k2_release/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-hw/kangwei/dev_tools/anaconda3/envs/rnnt2/lib/python3.8/site-packages/lhotse-1.14.0.dev0+git.0f812851.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0423201227-84b4557756-8lx4n', 'IP address': '10.177.6.147'}, 'world_size': 4, 'master_port': 12537, 'tensorboard': True, 'num_epochs': 12, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('zipformer/exp_L_small_causal'), 'lang_dir': PosixPath('data/lang_char'), 'base_lr': 0.045, 'lr_batches': 7500, 'lr_epochs': 1.5, 'ref_duration': 600, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'inf_check': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 200, 'use_fp16': True, 'num_encoder_layers': '2,2,2,2,2,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,768,768,768,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,256,256,256,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,192,192,192,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': True, 'chunk_size': '16,32,64,-1', 'left_context_frames': '64,128,256,-1', 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 900, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 8, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'blank_id': 0, 'vocab_size': 5537}
2023-06-17 16:21:19,382 INFO [train.py:1087] (2/4) About to create model
2023-06-17 16:21:20,056 INFO [train.py:1091] (2/4) Number of model parameters: 32669302
2023-06-17 16:21:25,909 INFO [train.py:1106] (2/4) Using DDP
2023-06-17 16:21:26,222 INFO [asr_datamodule.py:390] (2/4) About to get train cuts
2023-06-17 16:21:26,230 INFO [asr_datamodule.py:398] (2/4) About to get dev cuts
2023-06-17 16:21:26,240 INFO [asr_datamodule.py:211] (2/4) About to get Musan cuts
2023-06-17 16:21:28,726 INFO [asr_datamodule.py:216] (2/4) Enable MUSAN
2023-06-17 16:21:28,727 INFO [asr_datamodule.py:239] (2/4) Enable SpecAugment
2023-06-17 16:21:28,727 INFO [asr_datamodule.py:240] (2/4) Time warp factor: 80
2023-06-17 16:21:28,727 INFO [asr_datamodule.py:250] (2/4) Num frame mask: 10
2023-06-17 16:21:28,727 INFO [asr_datamodule.py:263] (2/4) About to create train dataset
2023-06-17 16:21:28,727 INFO [asr_datamodule.py:289] (2/4) Using DynamicBucketingSampler.
2023-06-17 16:21:33,082 INFO [asr_datamodule.py:305] (2/4) About to create train dataloader
2023-06-17 16:21:33,083 INFO [asr_datamodule.py:336] (2/4) About to create dev dataset
2023-06-17 16:21:33,726 INFO [asr_datamodule.py:354] (2/4) About to create dev dataloader