train.log

# python3 -m espnet2.bin.speechlm_train --use_preprocessor true --token_list data/token_list/tts_mls_all_espnet_mls-multi_encodec_16k/token_list --token_bias data/token_list/tts_mls_all_espnet_mls-multi_encodec_16k/token_bias.json --non_linguistic_symbols none --cleaner None --g2p g2p_en --bpemodel dump_16000/raw_tts_mls_ESPnet_espnet_mls-multi_encodec_16k/mls_all_train_subset/token_lists/text_bpe --multi_task_dataset true --sharded_dataset true --resume true --output_dir exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k --config conf/train_valle.yaml --train_data_path_and_name_and_type exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/train/mls_all_train_subset//split2/JOB/data.JOB.json,_,dataset_json --valid_data_path_and_name_and_type exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev//split2/JOB/data.JOB.json,_,dataset_json --train_shape_file exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/train/dec_seq_lengths.JOB --valid_shape_file exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/dec_seq_lengths.JOB --ngpu 2 --multiprocessing_distributed True 
# Started at Tue Sep 10 00:29:54 CST 2024
#
/home/stan/miniconda3/envs/espnet_codec/bin/python3 /mnt/data/stan/codec_espnet/espnet2/bin/speechlm_train.py --use_preprocessor true --token_list data/token_list/tts_mls_all_espnet_mls-multi_encodec_16k/token_list --token_bias data/token_list/tts_mls_all_espnet_mls-multi_encodec_16k/token_bias.json --non_linguistic_symbols none --cleaner None --g2p g2p_en --bpemodel dump_16000/raw_tts_mls_ESPnet_espnet_mls-multi_encodec_16k/mls_all_train_subset/token_lists/text_bpe --multi_task_dataset true --sharded_dataset true --resume true --output_dir exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k --config conf/train_valle.yaml --train_data_path_and_name_and_type exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/train/mls_all_train_subset//split2/JOB/data.JOB.json,_,dataset_json --valid_data_path_and_name_and_type exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev//split2/JOB/data.JOB.json,_,dataset_json --train_shape_file exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/train/dec_seq_lengths.JOB --valid_shape_file exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/dec_seq_lengths.JOB --ngpu 2 --multiprocessing_distributed True
[W Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function getCvarBool)
[W Utils.hpp:166] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function getCvarBool)
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:12,147 (speechlm:274) INFO: Vocabulary size: 8645
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:12,148 (speechlm:283) INFO: Token Bias: {'codec': 256, 'text_bpe': 8448}
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:12,223 (transformer:47) INFO: Build Transformer Decoder with internal implementation
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:13,582 (abs_task:1397) INFO: pytorch.version=2.3.0+cu118, cuda.available=True, cudnn.version=8700, cudnn.benchmark=False, cudnn.deterministic=True
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:13,587 (abs_task:1398) INFO: Model structure:
ESPnetSpeechLMModel(
  (corelm): ValleLM(
    (emb): Embedding(8645, 512)
    (lm_head): Linear(in_features=512, out_features=8645, bias=False)
    (ar_decoder): TransformerDecoder(
      (model): TransformerDecoder(
        (pos_emb): Embedding(3000, 512)
        (blocks): ModuleList(
          (0-11): 12 x ResidualAttentionBlock(
            (attn): MultiHeadAttention(
              (query): Linear(in_features=512, out_features=512, bias=True)
              (key): Linear(in_features=512, out_features=512, bias=False)
              (value): Linear(in_features=512, out_features=512, bias=True)
              (out): Linear(in_features=512, out_features=512, bias=True)
              (q_norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True)
              (k_norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True)
            )
            (attn_ln): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
            (attn_dropout): Dropout(p=0.0, inplace=False)
            (mlp): Sequential(
              (0): Linear(in_features=512, out_features=2048, bias=True)
              (1): GELU(approximate='none')
              (2): Linear(in_features=2048, out_features=512, bias=True)
            )
            (mlp_ln): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
            (mlp_dropout): Dropout(p=0.0, inplace=False)
          )
        )
        (ln): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
      )
    )
    (nar_decoder): ValleNARDecoder(
      (pos_emb): Embedding(3000, 512)
      (blocks): ModuleList(
        (0-11): 12 x ResidualAttentionBlockAdaLN(
          (attn): MultiHeadAttention(
            (query): Linear(in_features=512, out_features=512, bias=True)
            (key): Linear(in_features=512, out_features=512, bias=False)
            (value): Linear(in_features=512, out_features=512, bias=True)
            (out): Linear(in_features=512, out_features=512, bias=True)
            (q_norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True)
            (k_norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True)
          )
          (attn_ln): AdaLN(
            (weight): Linear(in_features=512, out_features=512, bias=False)
            (bias): Linear(in_features=512, out_features=512, bias=False)
          )
          (attn_dropout): Dropout(p=0.0, inplace=False)
          (mlp): Sequential(
            (0): Linear(in_features=512, out_features=2048, bias=True)
            (1): GELU(approximate='none')
            (2): Linear(in_features=2048, out_features=512, bias=True)
          )
          (mlp_ln): AdaLN(
            (weight): Linear(in_features=512, out_features=512, bias=False)
            (bias): Linear(in_features=512, out_features=512, bias=False)
          )
          (mlp_dropout): Dropout(p=0.0, inplace=False)
        )
      )
      (ln): AdaLN(
        (weight): Linear(in_features=512, out_features=512, bias=False)
        (bias): Linear(in_features=512, out_features=512, bias=False)
      )
      (level_emb): Embedding(7, 512)
    )
  )
)

Model summary:
    Class Name: ESPnetSpeechLMModel
    Total Number of model parameters: 100.66 M
    Number of trainable parameters: 100.66 M (100.0%)
    Size: 402.65 MB
    Type: torch.float32
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:13,587 (abs_task:1401) INFO: Optimizer:
AdamW (
Parameter Group 0
    amsgrad: False
    betas: [0.9, 0.95]
    capturable: False
    differentiable: False
    eps: 1e-08
    foreach: None
    fused: None
    initial_lr: 0.0001
    lr: 4e-09
    maximize: False
    weight_decay: 0.01
)
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:13,587 (abs_task:1402) INFO: Scheduler: WarmupLR(warmup_steps=25000)
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:13,587 (abs_task:1411) INFO: Saving the configuration in exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/config.yaml
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:20,850 (abs_task:1811) INFO: [train] dataset:
##### Multi-Task Dataset #####
## Sub-Dataset: 0; Task: tts ##
EspnetSpeechLMDataset(
  text: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/train/mls_all_train_subset/split2/1/text", "type": "text"}
  utt2spk: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/train/mls_all_train_subset/split2/1/utt2spk", "type": "text"}
  wav.scp: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/train/mls_all_train_subset/split2/1/wav.scp", "type": "kaldi_ark"}
  preprocess: <espnet2.train.preprocessor.SpeechLMPreprocessor object at 0x7f2436c178b0>)

[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:20,850 (abs_task:1812) INFO: [train] Batch sampler: NumElementsBatchSampler(N-batch=25390, batch_bins=32000, sort_in_batch=descending, sort_batch=descending)
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:20,854 (abs_task:1813) INFO: [train] mini-batch sizes summary: N-batch=25390, mean=24.1, min=19, max=32
rootroot-4U4G-SPC621D8:1496971:1496971 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ^lo,docker,virbr,vmnet,vboxnet
rootroot-4U4G-SPC621D8:1496971:1496971 [0] NCCL INFO Bootstrap : Using eno2:140.112.20.2<0>
rootroot-4U4G-SPC621D8:1496971:1496971 [0] NCCL INFO NET/Plugin : dlerror=libnccl-net.so: cannot open shared object file: No such file or directory No plugin found (libnccl-net.so), using internal implementation
rootroot-4U4G-SPC621D8:1496971:1496971 [0] NCCL INFO cudaDriverVersion 12020
NCCL version 2.20.5+cuda11.0
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,156 (synchronize_batches:28) INFO: Synchronize sharded dataset across all process
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,156 (synchronize_batches:29) INFO: #Batches: 25390 -> 25502
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,249 (abs_task:1811) INFO: [valid] dataset:
##### Multi-Task Dataset #####
## Sub-Dataset: 0; Task: tts ##
EspnetSpeechLMDataset(
  text: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev/split2/1/text", "type": "text"}
  utt2spk: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev/split2/1/utt2spk", "type": "text"}
  wav.scp: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev/split2/1/wav.scp", "type": "kaldi_ark"}
  preprocess: <espnet2.train.preprocessor.SpeechLMPreprocessor object at 0x7f242c9877f0>)

[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,249 (abs_task:1812) INFO: [valid] Batch sampler: NumElementsBatchSampler(N-batch=316, batch_bins=32000, sort_in_batch=descending, sort_batch=descending)
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,250 (abs_task:1813) INFO: [valid] mini-batch sizes summary: N-batch=316, mean=23.9, min=19, max=30
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,271 (synchronize_batches:28) INFO: Synchronize sharded dataset across all process
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,271 (synchronize_batches:29) INFO: #Batches: 316 -> 319
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,328 (abs_task:1811) INFO: [plot_att] dataset:
##### Multi-Task Dataset #####
## Sub-Dataset: 0; Task: tts ##
EspnetSpeechLMDataset(
  text: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev/split2/1/text", "type": "text"}
  utt2spk: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev/split2/1/utt2spk", "type": "text"}
  wav.scp: {"path": "exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/mls_all_dev/split2/1/wav.scp", "type": "kaldi_ark"}
  preprocess: <espnet2.train.preprocessor.SpeechLMPreprocessor object at 0x7f242c9868c0>)

[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,328 (abs_task:1812) INFO: [plot_att] Batch sampler: UnsortedBatchSampler(N-batch=7549, batch_size=1, key_file=exp_ar_tts/speechlm_stats_tts_mls_all_espnet_mls-multi_encodec_16k/sharded_stats_ngpu2/valid/dec_seq_lengths.1, 
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:21,328 (abs_task:1813) INFO: [plot_att] mini-batch sizes summary: N-batch=3, mean=1.0, min=1, max=1
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:25,009 (trainer:189) INFO: The training was resumed using exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/checkpoint.pth
rootroot-4U4G-SPC621D8:1496972:1496972 [1] NCCL INFO cudaDriverVersion 12020
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[rank1]:[W Utils.hpp:108] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function getCvarString)
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rootroot-4U4G-SPC621D8:1496971:1497233 [0] NCCL INFO Channel 00 : 0[0] -> 1[1] via SHM/direct/direct
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rootroot-4U4G-SPC621D8:1496971:1497233 [0] NCCL INFO Connected all rings
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rootroot-4U4G-SPC621D8:1496971:1497233 [0] NCCL INFO 2 coll channels, 0 collnet channels, 0 nvls channels, 2 p2p channels, 2 p2p channels per peer
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[rank0]:[W Utils.hpp:108] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function getCvarString)
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:30:25,142 (trainer:333) INFO: 10/50epoch started
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:39:21,747 (trainer:827) INFO: 10epoch:train:1-500batch: iter_time=7.880e-04, forward_time=0.261, loss=3.732, acc=0.204, acc_ar=0.321, acc_nar=0.086, backward_time=0.535, grad_norm=0.903, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.299e-05, train_time=1.073
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:46:54,674 (trainer:827) INFO: 10epoch:train:501-1000batch: iter_time=9.583e-05, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.321, acc_nar=0.086, backward_time=0.532, grad_norm=0.904, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.295e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 00:54:28,763 (trainer:827) INFO: 10epoch:train:1001-1500batch: iter_time=8.732e-05, forward_time=0.261, loss=3.738, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.533, grad_norm=0.906, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.291e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:02:01,791 (trainer:827) INFO: 10epoch:train:1501-2000batch: iter_time=8.745e-05, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.321, acc_nar=0.086, backward_time=0.532, grad_norm=0.906, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.288e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:09:35,300 (trainer:827) INFO: 10epoch:train:2001-2500batch: iter_time=9.210e-05, forward_time=0.261, loss=3.729, acc=0.204, acc_ar=0.322, acc_nar=0.086, backward_time=0.534, grad_norm=0.909, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.284e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:17:07,266 (trainer:827) INFO: 10epoch:train:2501-3000batch: iter_time=9.052e-05, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.531, grad_norm=0.911, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.281e-05, train_time=0.904
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:24:40,240 (trainer:827) INFO: 10epoch:train:3001-3500batch: iter_time=9.605e-05, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.532, grad_norm=0.912, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.277e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:32:13,802 (trainer:827) INFO: 10epoch:train:3501-4000batch: iter_time=9.387e-05, forward_time=0.261, loss=3.746, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.533, grad_norm=0.914, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.274e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:39:46,878 (trainer:827) INFO: 10epoch:train:4001-4500batch: iter_time=9.568e-05, forward_time=0.260, loss=3.729, acc=0.204, acc_ar=0.322, acc_nar=0.087, backward_time=0.533, grad_norm=0.911, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.270e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:47:20,386 (trainer:827) INFO: 10epoch:train:4501-5000batch: iter_time=8.947e-05, forward_time=0.261, loss=3.744, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.532, grad_norm=0.915, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.267e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 01:54:52,016 (trainer:827) INFO: 10epoch:train:5001-5500batch: iter_time=8.783e-05, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.531, grad_norm=0.918, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.263e-05, train_time=0.903
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:02:26,053 (trainer:827) INFO: 10epoch:train:5501-6000batch: iter_time=9.247e-05, forward_time=0.261, loss=3.736, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.532, grad_norm=0.920, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.260e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:10:00,083 (trainer:827) INFO: 10epoch:train:6001-6500batch: iter_time=9.775e-05, forward_time=0.261, loss=3.723, acc=0.205, acc_ar=0.322, acc_nar=0.087, backward_time=0.534, grad_norm=0.918, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.256e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:17:34,508 (trainer:827) INFO: 10epoch:train:6501-7000batch: iter_time=9.238e-05, forward_time=0.261, loss=3.741, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.918, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.030, optim0_lr0=3.253e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:25:09,153 (trainer:827) INFO: 10epoch:train:7001-7500batch: iter_time=9.764e-05, forward_time=0.261, loss=3.745, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.921, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.249e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:32:43,212 (trainer:827) INFO: 10epoch:train:7501-8000batch: iter_time=9.242e-05, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.924, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.246e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:40:16,922 (trainer:827) INFO: 10epoch:train:8001-8500batch: iter_time=9.576e-05, forward_time=0.261, loss=3.746, acc=0.202, acc_ar=0.317, acc_nar=0.086, backward_time=0.533, grad_norm=0.918, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.243e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:47:51,889 (trainer:827) INFO: 10epoch:train:8501-9000batch: iter_time=9.445e-05, forward_time=0.261, loss=3.733, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.536, grad_norm=0.924, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.239e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 02:55:26,542 (trainer:827) INFO: 10epoch:train:9001-9500batch: iter_time=9.706e-05, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.535, grad_norm=0.927, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.236e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:02:59,608 (trainer:827) INFO: 10epoch:train:9501-10000batch: iter_time=9.490e-05, forward_time=0.261, loss=3.733, acc=0.204, acc_ar=0.321, acc_nar=0.086, backward_time=0.534, grad_norm=0.923, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.232e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:10:33,018 (trainer:827) INFO: 10epoch:train:10001-10500batch: iter_time=9.614e-05, forward_time=0.261, loss=3.749, acc=0.201, acc_ar=0.316, acc_nar=0.086, backward_time=0.534, grad_norm=0.930, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.229e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:18:06,526 (trainer:827) INFO: 10epoch:train:10501-11000batch: iter_time=9.187e-05, forward_time=0.261, loss=3.735, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.535, grad_norm=0.930, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.030, optim0_lr0=3.226e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:25:40,349 (trainer:827) INFO: 10epoch:train:11001-11500batch: iter_time=9.087e-05, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.318, acc_nar=0.087, backward_time=0.534, grad_norm=0.927, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.222e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:33:13,329 (trainer:827) INFO: 10epoch:train:11501-12000batch: iter_time=9.394e-05, forward_time=0.260, loss=3.735, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.931, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.219e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:40:46,135 (trainer:827) INFO: 10epoch:train:12001-12500batch: iter_time=9.230e-05, forward_time=0.260, loss=3.743, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.532, grad_norm=0.932, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.216e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:48:19,608 (trainer:827) INFO: 10epoch:train:12501-13000batch: iter_time=9.505e-05, forward_time=0.261, loss=3.727, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=0.930, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.212e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 03:55:53,774 (trainer:827) INFO: 10epoch:train:13001-13500batch: iter_time=9.313e-05, forward_time=0.261, loss=3.741, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.935, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.209e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:03:28,558 (trainer:827) INFO: 10epoch:train:13501-14000batch: iter_time=9.356e-05, forward_time=0.261, loss=3.741, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.933, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.206e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:11:02,046 (trainer:827) INFO: 10epoch:train:14001-14500batch: iter_time=9.148e-05, forward_time=0.261, loss=3.735, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.534, grad_norm=0.938, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.202e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:18:35,414 (trainer:827) INFO: 10epoch:train:14501-15000batch: iter_time=9.382e-05, forward_time=0.261, loss=3.732, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=0.937, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.199e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:26:09,397 (trainer:827) INFO: 10epoch:train:15001-15500batch: iter_time=9.600e-05, forward_time=0.260, loss=3.740, acc=0.202, acc_ar=0.317, acc_nar=0.087, backward_time=0.533, grad_norm=0.940, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.196e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:33:43,083 (trainer:827) INFO: 10epoch:train:15501-16000batch: iter_time=9.614e-05, forward_time=0.261, loss=3.730, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=0.939, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.193e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:41:17,480 (trainer:827) INFO: 10epoch:train:16001-16500batch: iter_time=9.114e-05, forward_time=0.261, loss=3.738, acc=0.202, acc_ar=0.318, acc_nar=0.087, backward_time=0.536, grad_norm=0.940, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.189e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:48:52,285 (trainer:827) INFO: 10epoch:train:16501-17000batch: iter_time=9.485e-05, forward_time=0.261, loss=3.733, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.536, grad_norm=0.942, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.186e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 04:56:26,751 (trainer:827) INFO: 10epoch:train:17001-17500batch: iter_time=9.412e-05, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.318, acc_nar=0.087, backward_time=0.534, grad_norm=0.942, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.183e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:04:01,214 (trainer:827) INFO: 10epoch:train:17501-18000batch: iter_time=9.474e-05, forward_time=0.261, loss=3.736, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.535, grad_norm=0.945, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.180e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:11:33,777 (trainer:827) INFO: 10epoch:train:18001-18500batch: iter_time=9.311e-05, forward_time=0.260, loss=3.738, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.532, grad_norm=0.952, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.176e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:19:07,106 (trainer:827) INFO: 10epoch:train:18501-19000batch: iter_time=9.326e-05, forward_time=0.260, loss=3.728, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.533, grad_norm=0.952, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.173e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:26:40,022 (trainer:827) INFO: 10epoch:train:19001-19500batch: iter_time=9.173e-05, forward_time=0.261, loss=3.735, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.953, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.170e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:34:13,157 (trainer:827) INFO: 10epoch:train:19501-20000batch: iter_time=9.240e-05, forward_time=0.261, loss=3.739, acc=0.202, acc_ar=0.317, acc_nar=0.087, backward_time=0.534, grad_norm=0.952, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.167e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:41:45,441 (trainer:827) INFO: 10epoch:train:20001-20500batch: iter_time=9.471e-05, forward_time=0.260, loss=3.733, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.533, grad_norm=0.954, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.164e-05, train_time=0.904
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:49:18,447 (trainer:827) INFO: 10epoch:train:20501-21000batch: iter_time=9.035e-05, forward_time=0.260, loss=3.737, acc=0.202, acc_ar=0.318, acc_nar=0.087, backward_time=0.533, grad_norm=0.957, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.161e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 05:56:52,071 (trainer:827) INFO: 10epoch:train:21001-21500batch: iter_time=9.194e-05, forward_time=0.261, loss=3.729, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.533, grad_norm=0.952, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.157e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:04:25,197 (trainer:827) INFO: 10epoch:train:21501-22000batch: iter_time=9.271e-05, forward_time=0.261, loss=3.723, acc=0.204, acc_ar=0.322, acc_nar=0.087, backward_time=0.534, grad_norm=0.956, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.154e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:11:57,870 (trainer:827) INFO: 10epoch:train:22001-22500batch: iter_time=9.306e-05, forward_time=0.260, loss=3.734, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.533, grad_norm=0.960, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.151e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:19:32,358 (trainer:827) INFO: 10epoch:train:22501-23000batch: iter_time=9.234e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=0.953, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.030, optim0_lr0=3.148e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:27:05,918 (trainer:827) INFO: 10epoch:train:23001-23500batch: iter_time=9.374e-05, forward_time=0.261, loss=3.731, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.535, grad_norm=0.957, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=3.145e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:34:40,109 (trainer:827) INFO: 10epoch:train:23501-24000batch: iter_time=9.242e-05, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.535, grad_norm=0.961, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.142e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:42:12,700 (trainer:827) INFO: 10epoch:train:24001-24500batch: iter_time=9.266e-05, forward_time=0.260, loss=3.726, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.532, grad_norm=0.962, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.139e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:49:47,138 (trainer:827) INFO: 10epoch:train:24501-25000batch: iter_time=9.303e-05, forward_time=0.261, loss=3.732, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.535, grad_norm=0.962, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.030, optim0_lr0=3.136e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 06:57:20,604 (trainer:827) INFO: 10epoch:train:25001-25500batch: iter_time=9.601e-05, forward_time=0.261, loss=3.736, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.534, grad_norm=0.965, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.133e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:03:41,832 (trainer:387) INFO: 10epoch results: [train] iter_time=1.069e-04, forward_time=0.261, loss=3.735, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.534, grad_norm=0.934, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.031, optim0_lr0=3.213e-05, train_time=0.910, time=6 hours, 27 minutes and 17.99 seconds, total_count=255020, gpu_max_cached_mem_GB=43.836, [valid] loss=3.997, acc=0.172, acc_ar=0.265, acc_nar=0.079, time=4 minutes and 58.9 seconds, total_count=3190, gpu_max_cached_mem_GB=43.836, [att_plot] time=59.8 seconds, total_count=0, gpu_max_cached_mem_GB=43.836
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:03:48,986 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:03:48,986 (average_nbest_models:69) INFO: Averaging 5best models: criterion="valid.acc": exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/valid.acc.ave_5best.till10epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:03:55,572 (average_nbest_models:69) INFO: Averaging 5best models: criterion="valid.total_count": exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/valid.total_count.ave_5best.till10epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:03:56,576 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/5epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:03:56,576 (trainer:321) INFO: 11/50epoch started. Estimated time to finish: 1 week, 3 days and 22 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:12:59,349 (trainer:827) INFO: 11epoch:train:1-500batch: iter_time=8.137e-04, forward_time=0.260, loss=3.734, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.534, grad_norm=0.967, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.129e-05, train_time=1.085
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:20:32,824 (trainer:827) INFO: 11epoch:train:501-1000batch: iter_time=9.385e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=0.969, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.126e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:28:06,901 (trainer:827) INFO: 11epoch:train:1001-1500batch: iter_time=9.463e-05, forward_time=0.261, loss=3.724, acc=0.204, acc_ar=0.322, acc_nar=0.087, backward_time=0.534, grad_norm=0.970, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.123e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:35:40,572 (trainer:827) INFO: 11epoch:train:1501-2000batch: iter_time=9.855e-05, forward_time=0.261, loss=3.723, acc=0.205, acc_ar=0.322, acc_nar=0.087, backward_time=0.535, grad_norm=0.968, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.120e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:43:14,319 (trainer:827) INFO: 11epoch:train:2001-2500batch: iter_time=9.363e-05, forward_time=0.261, loss=3.730, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=0.974, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.117e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:50:49,133 (trainer:827) INFO: 11epoch:train:2501-3000batch: iter_time=9.371e-05, forward_time=0.261, loss=3.727, acc=0.204, acc_ar=0.322, acc_nar=0.087, backward_time=0.535, grad_norm=0.973, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.114e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 07:58:23,368 (trainer:827) INFO: 11epoch:train:3001-3500batch: iter_time=9.770e-05, forward_time=0.261, loss=3.722, acc=0.205, acc_ar=0.322, acc_nar=0.087, backward_time=0.534, grad_norm=0.977, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.111e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:05:57,066 (trainer:827) INFO: 11epoch:train:3501-4000batch: iter_time=9.504e-05, forward_time=0.261, loss=3.732, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.534, grad_norm=0.976, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.108e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:13:30,897 (trainer:827) INFO: 11epoch:train:4001-4500batch: iter_time=9.331e-05, forward_time=0.261, loss=3.722, acc=0.205, acc_ar=0.322, acc_nar=0.087, backward_time=0.534, grad_norm=0.977, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.105e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:21:05,506 (trainer:827) INFO: 11epoch:train:4501-5000batch: iter_time=9.584e-05, forward_time=0.261, loss=3.728, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=0.979, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.102e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:28:39,602 (trainer:827) INFO: 11epoch:train:5001-5500batch: iter_time=1.139e-04, forward_time=0.261, loss=3.726, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=0.978, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.099e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:36:13,536 (trainer:827) INFO: 11epoch:train:5501-6000batch: iter_time=9.397e-05, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=0.982, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.096e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:43:47,311 (trainer:827) INFO: 11epoch:train:6001-6500batch: iter_time=9.611e-05, forward_time=0.261, loss=3.731, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=0.983, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.093e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:51:21,541 (trainer:827) INFO: 11epoch:train:6501-7000batch: iter_time=1.029e-04, forward_time=0.261, loss=3.727, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.535, grad_norm=0.983, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.090e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 08:58:56,841 (trainer:827) INFO: 11epoch:train:7001-7500batch: iter_time=9.425e-05, forward_time=0.261, loss=3.723, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=0.984, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.087e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:06:31,208 (trainer:827) INFO: 11epoch:train:7501-8000batch: iter_time=9.794e-05, forward_time=0.261, loss=3.719, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.536, grad_norm=0.984, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.084e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:14:04,698 (trainer:827) INFO: 11epoch:train:8001-8500batch: iter_time=9.248e-05, forward_time=0.260, loss=3.729, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.533, grad_norm=0.987, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.082e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:21:38,685 (trainer:827) INFO: 11epoch:train:8501-9000batch: iter_time=9.788e-05, forward_time=0.261, loss=3.731, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=0.985, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.079e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:29:13,268 (trainer:827) INFO: 11epoch:train:9001-9500batch: iter_time=9.470e-05, forward_time=0.261, loss=3.728, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=0.988, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.076e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:36:47,200 (trainer:827) INFO: 11epoch:train:9501-10000batch: iter_time=9.574e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=0.993, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.073e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:44:22,259 (trainer:827) INFO: 11epoch:train:10001-10500batch: iter_time=9.454e-05, forward_time=0.261, loss=3.724, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.536, grad_norm=0.988, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.070e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:51:55,896 (trainer:827) INFO: 11epoch:train:10501-11000batch: iter_time=9.414e-05, forward_time=0.261, loss=3.737, acc=0.202, acc_ar=0.318, acc_nar=0.087, backward_time=0.534, grad_norm=0.990, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.067e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 09:59:30,139 (trainer:827) INFO: 11epoch:train:11001-11500batch: iter_time=9.248e-05, forward_time=0.261, loss=3.733, acc=0.203, acc_ar=0.318, acc_nar=0.087, backward_time=0.536, grad_norm=0.990, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.064e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 10:07:04,879 (trainer:827) INFO: 11epoch:train:11501-12000batch: iter_time=9.291e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.322, acc_nar=0.087, backward_time=0.535, grad_norm=0.991, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.061e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 10:14:38,802 (trainer:827) INFO: 11epoch:train:12001-12500batch: iter_time=9.456e-05, forward_time=0.261, loss=3.729, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.534, grad_norm=0.992, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.058e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 10:22:13,344 (trainer:827) INFO: 11epoch:train:12501-13000batch: iter_time=9.587e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=0.999, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.056e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 10:29:45,677 (trainer:827) INFO: 11epoch:train:13001-13500batch: iter_time=9.581e-05, forward_time=0.260, loss=3.729, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.533, grad_norm=1.002, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.053e-05, train_time=0.904
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 10:37:20,887 (trainer:827) INFO: 11epoch:train:13501-14000batch: iter_time=9.484e-05, forward_time=0.261, loss=3.729, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.536, grad_norm=1.000, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.050e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 10:44:54,602 (trainer:827) INFO: 11epoch:train:14001-14500batch: iter_time=9.498e-05, forward_time=0.261, loss=3.728, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.001, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.047e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 10:52:28,830 (trainer:827) INFO: 11epoch:train:14501-15000batch: iter_time=9.668e-05, forward_time=0.261, loss=3.731, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.535, grad_norm=1.002, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.044e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:00:02,444 (trainer:827) INFO: 11epoch:train:15001-15500batch: iter_time=9.434e-05, forward_time=0.261, loss=3.727, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=1.005, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.041e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:07:36,617 (trainer:827) INFO: 11epoch:train:15501-16000batch: iter_time=9.538e-05, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.534, grad_norm=1.007, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.039e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:15:10,888 (trainer:827) INFO: 11epoch:train:16001-16500batch: iter_time=9.472e-05, forward_time=0.261, loss=3.720, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.535, grad_norm=1.008, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.036e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:22:44,696 (trainer:827) INFO: 11epoch:train:16501-17000batch: iter_time=9.696e-05, forward_time=0.261, loss=3.728, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=1.009, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.033e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:30:19,387 (trainer:827) INFO: 11epoch:train:17001-17500batch: iter_time=9.293e-05, forward_time=0.261, loss=3.730, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.005, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.030e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:37:52,630 (trainer:827) INFO: 11epoch:train:17501-18000batch: iter_time=9.416e-05, forward_time=0.260, loss=3.729, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=1.009, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.027e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:45:27,065 (trainer:827) INFO: 11epoch:train:18001-18500batch: iter_time=9.430e-05, forward_time=0.261, loss=3.720, acc=0.205, acc_ar=0.322, acc_nar=0.087, backward_time=0.535, grad_norm=1.009, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.025e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 11:53:01,799 (trainer:827) INFO: 11epoch:train:18501-19000batch: iter_time=9.374e-05, forward_time=0.261, loss=3.726, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.009, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.022e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:00:36,119 (trainer:827) INFO: 11epoch:train:19001-19500batch: iter_time=9.404e-05, forward_time=0.260, loss=3.724, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=1.013, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.019e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:08:10,203 (trainer:827) INFO: 11epoch:train:19501-20000batch: iter_time=9.869e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.534, grad_norm=1.012, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.016e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:15:44,583 (trainer:827) INFO: 11epoch:train:20001-20500batch: iter_time=1.014e-04, forward_time=0.261, loss=3.730, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.016, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.014e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:23:18,927 (trainer:827) INFO: 11epoch:train:20501-21000batch: iter_time=9.540e-05, forward_time=0.261, loss=3.733, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.534, grad_norm=1.019, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.011e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:30:53,084 (trainer:827) INFO: 11epoch:train:21001-21500batch: iter_time=9.768e-05, forward_time=0.261, loss=3.717, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.534, grad_norm=1.019, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=3.008e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:38:27,413 (trainer:827) INFO: 11epoch:train:21501-22000batch: iter_time=9.645e-05, forward_time=0.261, loss=3.726, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.020, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.005e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:46:00,811 (trainer:827) INFO: 11epoch:train:22001-22500batch: iter_time=9.575e-05, forward_time=0.260, loss=3.720, acc=0.205, acc_ar=0.323, acc_nar=0.087, backward_time=0.533, grad_norm=1.023, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.003e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 12:53:34,645 (trainer:827) INFO: 11epoch:train:22501-23000batch: iter_time=9.628e-05, forward_time=0.261, loss=3.709, acc=0.206, acc_ar=0.324, acc_nar=0.088, backward_time=0.533, grad_norm=1.019, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=3.000e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:01:09,962 (trainer:827) INFO: 11epoch:train:23001-23500batch: iter_time=9.564e-05, forward_time=0.261, loss=3.717, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.536, grad_norm=1.020, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.997e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:08:43,125 (trainer:827) INFO: 11epoch:train:23501-24000batch: iter_time=9.562e-05, forward_time=0.260, loss=3.719, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.026, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.995e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:16:17,358 (trainer:827) INFO: 11epoch:train:24001-24500batch: iter_time=9.560e-05, forward_time=0.261, loss=3.726, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.024, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.992e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:23:51,606 (trainer:827) INFO: 11epoch:train:24501-25000batch: iter_time=9.512e-05, forward_time=0.261, loss=3.721, acc=0.205, acc_ar=0.322, acc_nar=0.087, backward_time=0.534, grad_norm=1.024, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.989e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:31:26,364 (trainer:827) INFO: 11epoch:train:25001-25500batch: iter_time=9.241e-05, forward_time=0.261, loss=3.727, acc=0.204, acc_ar=0.319, acc_nar=0.088, backward_time=0.534, grad_norm=1.022, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.987e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:38:02,036 (trainer:387) INFO: 11epoch results: [train] iter_time=1.099e-04, forward_time=0.261, loss=3.726, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.534, grad_norm=0.997, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.031, optim0_lr0=3.056e-05, train_time=0.912, time=6 hours, 28 minutes and 3.29 seconds, total_count=280522, gpu_max_cached_mem_GB=43.836, [valid] loss=3.990, acc=0.173, acc_ar=0.266, acc_nar=0.080, time=5 minutes and 1.5 seconds, total_count=3509, gpu_max_cached_mem_GB=43.836, [att_plot] time=1 minute and 0.66 seconds, total_count=0, gpu_max_cached_mem_GB=43.836
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:38:08,794 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:38:08,811 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/6epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:38:08,811 (trainer:321) INFO: 12/50epoch started. Estimated time to finish: 1 week, 3 days and 16 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:47:06,847 (trainer:827) INFO: 12epoch:train:1-500batch: iter_time=6.594e-04, forward_time=0.260, loss=3.720, acc=0.205, acc_ar=0.323, acc_nar=0.087, backward_time=0.533, grad_norm=1.029, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.984e-05, train_time=1.076
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 13:54:40,178 (trainer:827) INFO: 12epoch:train:501-1000batch: iter_time=9.877e-05, forward_time=0.261, loss=3.720, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.029, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.981e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:02:15,374 (trainer:827) INFO: 12epoch:train:1001-1500batch: iter_time=9.507e-05, forward_time=0.261, loss=3.716, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.535, grad_norm=1.026, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.979e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:09:50,232 (trainer:827) INFO: 12epoch:train:1501-2000batch: iter_time=9.747e-05, forward_time=0.261, loss=3.718, acc=0.205, acc_ar=0.323, acc_nar=0.087, backward_time=0.536, grad_norm=1.036, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.976e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:17:25,159 (trainer:827) INFO: 12epoch:train:2001-2500batch: iter_time=9.248e-05, forward_time=0.261, loss=3.718, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.033, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.973e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:24:58,048 (trainer:827) INFO: 12epoch:train:2501-3000batch: iter_time=9.444e-05, forward_time=0.260, loss=3.728, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.533, grad_norm=1.038, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.971e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:32:33,250 (trainer:827) INFO: 12epoch:train:3001-3500batch: iter_time=9.158e-05, forward_time=0.262, loss=3.720, acc=0.204, acc_ar=0.321, acc_nar=0.087, backward_time=0.537, grad_norm=1.032, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.968e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:40:06,514 (trainer:827) INFO: 12epoch:train:3501-4000batch: iter_time=9.226e-05, forward_time=0.260, loss=3.710, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.533, grad_norm=1.036, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.966e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:47:41,022 (trainer:827) INFO: 12epoch:train:4001-4500batch: iter_time=9.773e-05, forward_time=0.261, loss=3.719, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.535, grad_norm=1.032, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.963e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 14:55:14,790 (trainer:827) INFO: 12epoch:train:4501-5000batch: iter_time=9.434e-05, forward_time=0.261, loss=3.712, acc=0.206, acc_ar=0.324, acc_nar=0.088, backward_time=0.533, grad_norm=1.040, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.960e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:02:49,347 (trainer:827) INFO: 12epoch:train:5001-5500batch: iter_time=9.894e-05, forward_time=0.261, loss=3.711, acc=0.205, acc_ar=0.322, acc_nar=0.089, backward_time=0.535, grad_norm=1.037, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.958e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:10:23,402 (trainer:827) INFO: 12epoch:train:5501-6000batch: iter_time=9.513e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.534, grad_norm=1.042, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.955e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:17:58,525 (trainer:827) INFO: 12epoch:train:6001-6500batch: iter_time=9.565e-05, forward_time=0.261, loss=3.722, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.045, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.953e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:25:32,381 (trainer:827) INFO: 12epoch:train:6501-7000batch: iter_time=9.504e-05, forward_time=0.261, loss=3.712, acc=0.206, acc_ar=0.324, acc_nar=0.088, backward_time=0.535, grad_norm=1.046, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.950e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:33:06,092 (trainer:827) INFO: 12epoch:train:7001-7500batch: iter_time=9.706e-05, forward_time=0.261, loss=3.720, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=1.047, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.947e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:40:39,631 (trainer:827) INFO: 12epoch:train:7501-8000batch: iter_time=9.507e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.533, grad_norm=1.043, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.945e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:48:13,159 (trainer:827) INFO: 12epoch:train:8001-8500batch: iter_time=9.490e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.533, grad_norm=1.046, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.942e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 15:55:47,666 (trainer:827) INFO: 12epoch:train:8501-9000batch: iter_time=9.639e-05, forward_time=0.261, loss=3.729, acc=0.203, acc_ar=0.318, acc_nar=0.088, backward_time=0.535, grad_norm=1.044, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.940e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:03:21,339 (trainer:827) INFO: 12epoch:train:9001-9500batch: iter_time=9.667e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=1.051, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.937e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:10:55,042 (trainer:827) INFO: 12epoch:train:9501-10000batch: iter_time=9.771e-05, forward_time=0.260, loss=3.714, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.054, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.935e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:18:28,644 (trainer:827) INFO: 12epoch:train:10001-10500batch: iter_time=9.454e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.533, grad_norm=1.051, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.932e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:26:03,044 (trainer:827) INFO: 12epoch:train:10501-11000batch: iter_time=9.523e-05, forward_time=0.261, loss=3.711, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.534, grad_norm=1.052, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.930e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:33:36,314 (trainer:827) INFO: 12epoch:train:11001-11500batch: iter_time=9.447e-05, forward_time=0.260, loss=3.721, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.533, grad_norm=1.060, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.032, optim0_lr0=2.927e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:41:10,816 (trainer:827) INFO: 12epoch:train:11501-12000batch: iter_time=9.538e-05, forward_time=0.261, loss=3.717, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.050, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.032, optim0_lr0=2.925e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:48:45,327 (trainer:827) INFO: 12epoch:train:12001-12500batch: iter_time=9.588e-05, forward_time=0.261, loss=3.725, acc=0.203, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.052, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.922e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 16:56:19,803 (trainer:827) INFO: 12epoch:train:12501-13000batch: iter_time=9.480e-05, forward_time=0.261, loss=3.713, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.535, grad_norm=1.058, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.920e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:03:53,405 (trainer:827) INFO: 12epoch:train:13001-13500batch: iter_time=9.426e-05, forward_time=0.261, loss=3.717, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=1.056, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.917e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:11:27,795 (trainer:827) INFO: 12epoch:train:13501-14000batch: iter_time=9.784e-05, forward_time=0.261, loss=3.721, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.063, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.915e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:19:00,719 (trainer:827) INFO: 12epoch:train:14001-14500batch: iter_time=9.624e-05, forward_time=0.260, loss=3.718, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.533, grad_norm=1.062, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.912e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:26:35,063 (trainer:827) INFO: 12epoch:train:14501-15000batch: iter_time=9.434e-05, forward_time=0.261, loss=3.720, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.062, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.910e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:34:09,142 (trainer:827) INFO: 12epoch:train:15001-15500batch: iter_time=9.469e-05, forward_time=0.260, loss=3.713, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.534, grad_norm=1.066, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.907e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:41:41,874 (trainer:827) INFO: 12epoch:train:15501-16000batch: iter_time=9.818e-05, forward_time=0.260, loss=3.719, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.533, grad_norm=1.070, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.905e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:49:16,345 (trainer:827) INFO: 12epoch:train:16001-16500batch: iter_time=9.682e-05, forward_time=0.261, loss=3.716, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.068, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.902e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 17:56:49,993 (trainer:827) INFO: 12epoch:train:16501-17000batch: iter_time=9.631e-05, forward_time=0.261, loss=3.721, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=1.074, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.900e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:04:25,308 (trainer:827) INFO: 12epoch:train:17001-17500batch: iter_time=9.638e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.324, acc_nar=0.088, backward_time=0.535, grad_norm=1.063, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.898e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:12:00,396 (trainer:827) INFO: 12epoch:train:17501-18000batch: iter_time=9.437e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.536, grad_norm=1.070, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.895e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:19:34,029 (trainer:827) INFO: 12epoch:train:18001-18500batch: iter_time=9.550e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.533, grad_norm=1.071, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.893e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:27:08,648 (trainer:827) INFO: 12epoch:train:18501-19000batch: iter_time=9.542e-05, forward_time=0.261, loss=3.726, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.536, grad_norm=1.075, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.890e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:34:42,130 (trainer:827) INFO: 12epoch:train:19001-19500batch: iter_time=9.683e-05, forward_time=0.261, loss=3.720, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=1.072, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.888e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:42:17,452 (trainer:827) INFO: 12epoch:train:19501-20000batch: iter_time=9.194e-05, forward_time=0.261, loss=3.706, acc=0.206, acc_ar=0.322, acc_nar=0.089, backward_time=0.536, grad_norm=1.064, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.885e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:49:52,243 (trainer:827) INFO: 12epoch:train:20001-20500batch: iter_time=9.502e-05, forward_time=0.261, loss=3.721, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.073, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.883e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 18:57:26,594 (trainer:827) INFO: 12epoch:train:20501-21000batch: iter_time=9.858e-05, forward_time=0.261, loss=3.718, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.535, grad_norm=1.076, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.881e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:05:03,850 (trainer:827) INFO: 12epoch:train:21001-21500batch: iter_time=9.412e-05, forward_time=0.261, loss=3.718, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.075, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.878e-05, train_time=0.914
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:12:38,903 (trainer:827) INFO: 12epoch:train:21501-22000batch: iter_time=9.461e-05, forward_time=0.261, loss=3.718, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.536, grad_norm=1.072, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.876e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:20:13,592 (trainer:827) INFO: 12epoch:train:22001-22500batch: iter_time=9.439e-05, forward_time=0.261, loss=3.720, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.079, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.873e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:27:49,077 (trainer:827) INFO: 12epoch:train:22501-23000batch: iter_time=9.446e-05, forward_time=0.261, loss=3.713, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.536, grad_norm=1.080, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.871e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:35:23,079 (trainer:827) INFO: 12epoch:train:23001-23500batch: iter_time=9.622e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.536, grad_norm=1.080, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.869e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:42:56,640 (trainer:827) INFO: 12epoch:train:23501-24000batch: iter_time=9.457e-05, forward_time=0.261, loss=3.718, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.534, grad_norm=1.084, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.866e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:50:30,680 (trainer:827) INFO: 12epoch:train:24001-24500batch: iter_time=9.511e-05, forward_time=0.261, loss=3.713, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.089, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.864e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 19:58:05,591 (trainer:827) INFO: 12epoch:train:24501-25000batch: iter_time=9.575e-05, forward_time=0.261, loss=3.712, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.535, grad_norm=1.082, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.862e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:05:39,906 (trainer:827) INFO: 12epoch:train:25001-25500batch: iter_time=9.348e-05, forward_time=0.261, loss=3.725, acc=0.204, acc_ar=0.320, acc_nar=0.087, backward_time=0.535, grad_norm=1.095, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.859e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:12:02,812 (trainer:387) INFO: 12epoch results: [train] iter_time=1.065e-04, forward_time=0.261, loss=3.717, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.057, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.920e-05, train_time=0.912, time=6 hours, 27 minutes and 55.53 seconds, total_count=306024, gpu_max_cached_mem_GB=43.836, [valid] loss=3.992, acc=0.173, acc_ar=0.266, acc_nar=0.080, time=4 minutes and 58.2 seconds, total_count=3828, gpu_max_cached_mem_GB=43.836, [att_plot] time=1 minute and 0.26 seconds, total_count=0, gpu_max_cached_mem_GB=43.836
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:12:09,227 (trainer:466) INFO: The best model has been updated: valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:12:09,244 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/7epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:12:09,245 (trainer:321) INFO: 13/50epoch started. Estimated time to finish: 1 week, 3 days and 9 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:21:15,376 (trainer:827) INFO: 13epoch:train:1-500batch: iter_time=0.003, forward_time=0.260, loss=3.712, acc=0.206, acc_ar=0.324, acc_nar=0.088, backward_time=0.534, grad_norm=1.099, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.857e-05, train_time=1.092
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:28:50,854 (trainer:827) INFO: 13epoch:train:501-1000batch: iter_time=1.003e-04, forward_time=0.261, loss=3.713, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.537, grad_norm=1.086, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.855e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:36:25,370 (trainer:827) INFO: 13epoch:train:1001-1500batch: iter_time=9.644e-05, forward_time=0.261, loss=3.713, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.097, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.852e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:43:59,873 (trainer:827) INFO: 13epoch:train:1501-2000batch: iter_time=9.617e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.094, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.850e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:51:35,269 (trainer:827) INFO: 13epoch:train:2001-2500batch: iter_time=9.696e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.536, grad_norm=1.092, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.848e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 20:59:08,321 (trainer:827) INFO: 13epoch:train:2501-3000batch: iter_time=9.452e-05, forward_time=0.261, loss=3.710, acc=0.206, acc_ar=0.324, acc_nar=0.088, backward_time=0.535, grad_norm=1.095, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=2.845e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:06:42,594 (trainer:827) INFO: 13epoch:train:3001-3500batch: iter_time=9.705e-05, forward_time=0.261, loss=3.716, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=1.095, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.843e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:14:17,066 (trainer:827) INFO: 13epoch:train:3501-4000batch: iter_time=9.612e-05, forward_time=0.261, loss=3.708, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.535, grad_norm=1.095, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.841e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:21:50,927 (trainer:827) INFO: 13epoch:train:4001-4500batch: iter_time=9.780e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.534, grad_norm=1.101, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.839e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:29:25,901 (trainer:827) INFO: 13epoch:train:4501-5000batch: iter_time=9.345e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.100, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.836e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:37:01,196 (trainer:827) INFO: 13epoch:train:5001-5500batch: iter_time=9.547e-05, forward_time=0.262, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.535, grad_norm=1.097, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.834e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:44:34,957 (trainer:827) INFO: 13epoch:train:5501-6000batch: iter_time=9.649e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.324, acc_nar=0.088, backward_time=0.534, grad_norm=1.098, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.832e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:52:09,632 (trainer:827) INFO: 13epoch:train:6001-6500batch: iter_time=9.568e-05, forward_time=0.261, loss=3.710, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.535, grad_norm=1.101, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.829e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 21:59:43,690 (trainer:827) INFO: 13epoch:train:6501-7000batch: iter_time=9.868e-05, forward_time=0.261, loss=3.717, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.535, grad_norm=1.109, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.827e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 22:07:16,297 (trainer:827) INFO: 13epoch:train:7001-7500batch: iter_time=9.850e-05, forward_time=0.261, loss=3.703, acc=0.207, acc_ar=0.325, acc_nar=0.089, backward_time=0.534, grad_norm=1.108, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.030, optim0_lr0=2.825e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 22:14:49,612 (trainer:827) INFO: 13epoch:train:7501-8000batch: iter_time=9.757e-05, forward_time=0.261, loss=3.717, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.533, grad_norm=1.122, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.823e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 22:22:23,598 (trainer:827) INFO: 13epoch:train:8001-8500batch: iter_time=9.803e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.534, grad_norm=1.110, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.820e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 22:29:58,224 (trainer:827) INFO: 13epoch:train:8501-9000batch: iter_time=9.697e-05, forward_time=0.261, loss=3.713, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.111, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.818e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 22:37:32,586 (trainer:827) INFO: 13epoch:train:9001-9500batch: iter_time=9.547e-05, forward_time=0.261, loss=3.723, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.533, grad_norm=1.117, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.816e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 22:45:07,344 (trainer:827) INFO: 13epoch:train:9501-10000batch: iter_time=9.927e-05, forward_time=0.261, loss=3.703, acc=0.207, acc_ar=0.325, acc_nar=0.088, backward_time=0.535, grad_norm=1.111, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.032, optim0_lr0=2.814e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 22:52:41,915 (trainer:827) INFO: 13epoch:train:10001-10500batch: iter_time=9.990e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.324, acc_nar=0.089, backward_time=0.535, grad_norm=1.118, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.811e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:00:17,053 (trainer:827) INFO: 13epoch:train:10501-11000batch: iter_time=9.894e-05, forward_time=0.261, loss=3.718, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.117, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.809e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:07:52,563 (trainer:827) INFO: 13epoch:train:11001-11500batch: iter_time=9.498e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.536, grad_norm=1.116, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.807e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:15:26,655 (trainer:827) INFO: 13epoch:train:11501-12000batch: iter_time=9.407e-05, forward_time=0.261, loss=3.709, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.535, grad_norm=1.119, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.805e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:23:00,706 (trainer:827) INFO: 13epoch:train:12001-12500batch: iter_time=9.476e-05, forward_time=0.261, loss=3.717, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.533, grad_norm=1.121, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.803e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:30:35,999 (trainer:827) INFO: 13epoch:train:12501-13000batch: iter_time=9.568e-05, forward_time=0.261, loss=3.705, acc=0.206, acc_ar=0.324, acc_nar=0.089, backward_time=0.535, grad_norm=1.113, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.800e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:38:09,451 (trainer:827) INFO: 13epoch:train:13001-13500batch: iter_time=9.531e-05, forward_time=0.261, loss=3.706, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.534, grad_norm=1.122, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.798e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:45:44,029 (trainer:827) INFO: 13epoch:train:13501-14000batch: iter_time=9.794e-05, forward_time=0.261, loss=3.718, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.128, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.796e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-10 23:53:18,759 (trainer:827) INFO: 13epoch:train:14001-14500batch: iter_time=9.329e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.536, grad_norm=1.123, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.794e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:00:53,008 (trainer:827) INFO: 13epoch:train:14501-15000batch: iter_time=9.555e-05, forward_time=0.261, loss=3.717, acc=0.204, acc_ar=0.321, acc_nar=0.088, backward_time=0.534, grad_norm=1.127, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.792e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:08:27,876 (trainer:827) INFO: 13epoch:train:15001-15500batch: iter_time=9.519e-05, forward_time=0.261, loss=3.714, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.123, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.790e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:16:02,840 (trainer:827) INFO: 13epoch:train:15501-16000batch: iter_time=9.520e-05, forward_time=0.261, loss=3.721, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.536, grad_norm=1.123, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.032, optim0_lr0=2.787e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:23:38,435 (trainer:827) INFO: 13epoch:train:16001-16500batch: iter_time=9.548e-05, forward_time=0.262, loss=3.709, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.536, grad_norm=1.129, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.785e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:31:12,507 (trainer:827) INFO: 13epoch:train:16501-17000batch: iter_time=9.578e-05, forward_time=0.261, loss=3.713, acc=0.205, acc_ar=0.321, acc_nar=0.089, backward_time=0.534, grad_norm=1.129, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.783e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:38:47,753 (trainer:827) INFO: 13epoch:train:17001-17500batch: iter_time=9.467e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.322, acc_nar=0.089, backward_time=0.536, grad_norm=1.129, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.781e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:46:22,048 (trainer:827) INFO: 13epoch:train:17501-18000batch: iter_time=9.466e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.535, grad_norm=1.132, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.779e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 00:53:56,647 (trainer:827) INFO: 13epoch:train:18001-18500batch: iter_time=9.475e-05, forward_time=0.261, loss=3.702, acc=0.207, acc_ar=0.324, acc_nar=0.089, backward_time=0.535, grad_norm=1.132, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.777e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:01:31,828 (trainer:827) INFO: 13epoch:train:18501-19000batch: iter_time=9.499e-05, forward_time=0.261, loss=3.718, acc=0.204, acc_ar=0.320, acc_nar=0.088, backward_time=0.535, grad_norm=1.129, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.774e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:09:07,004 (trainer:827) INFO: 13epoch:train:19001-19500batch: iter_time=9.630e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.536, grad_norm=1.135, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.772e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:16:41,588 (trainer:827) INFO: 13epoch:train:19501-20000batch: iter_time=9.577e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.535, grad_norm=1.141, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.770e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:24:16,565 (trainer:827) INFO: 13epoch:train:20001-20500batch: iter_time=9.959e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.536, grad_norm=1.140, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.768e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:31:51,828 (trainer:827) INFO: 13epoch:train:20501-21000batch: iter_time=9.666e-05, forward_time=0.261, loss=3.709, acc=0.205, acc_ar=0.322, acc_nar=0.089, backward_time=0.535, grad_norm=1.138, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.766e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:39:26,925 (trainer:827) INFO: 13epoch:train:21001-21500batch: iter_time=9.590e-05, forward_time=0.262, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.536, grad_norm=1.137, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.764e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:47:01,679 (trainer:827) INFO: 13epoch:train:21501-22000batch: iter_time=1.006e-04, forward_time=0.262, loss=3.714, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.536, grad_norm=1.138, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.762e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 01:54:35,671 (trainer:827) INFO: 13epoch:train:22001-22500batch: iter_time=9.475e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.534, grad_norm=1.148, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.760e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:02:10,444 (trainer:827) INFO: 13epoch:train:22501-23000batch: iter_time=9.366e-05, forward_time=0.261, loss=3.711, acc=0.205, acc_ar=0.321, acc_nar=0.089, backward_time=0.535, grad_norm=1.142, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.758e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:09:45,094 (trainer:827) INFO: 13epoch:train:23001-23500batch: iter_time=9.752e-05, forward_time=0.261, loss=3.710, acc=0.205, acc_ar=0.322, acc_nar=0.089, backward_time=0.535, grad_norm=1.140, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.755e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:17:17,619 (trainer:827) INFO: 13epoch:train:23501-24000batch: iter_time=9.756e-05, forward_time=0.260, loss=3.706, acc=0.206, acc_ar=0.324, acc_nar=0.089, backward_time=0.532, grad_norm=1.150, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.753e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:24:52,392 (trainer:827) INFO: 13epoch:train:24001-24500batch: iter_time=9.582e-05, forward_time=0.261, loss=3.705, acc=0.206, acc_ar=0.322, acc_nar=0.089, backward_time=0.535, grad_norm=1.144, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.751e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:32:26,535 (trainer:827) INFO: 13epoch:train:24501-25000batch: iter_time=9.650e-05, forward_time=0.261, loss=3.702, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.535, grad_norm=1.149, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.749e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:40:01,539 (trainer:827) INFO: 13epoch:train:25001-25500batch: iter_time=9.270e-05, forward_time=0.261, loss=3.703, acc=0.206, acc_ar=0.324, acc_nar=0.089, backward_time=0.535, grad_norm=1.144, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.747e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:46:26,803 (trainer:387) INFO: 13epoch results: [train] iter_time=1.451e-04, forward_time=0.261, loss=3.711, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.120, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.031, optim0_lr0=2.801e-05, train_time=0.912, time=6 hours, 28 minutes and 15.4 seconds, total_count=331526, gpu_max_cached_mem_GB=43.836, [valid] loss=3.987, acc=0.173, acc_ar=0.265, acc_nar=0.080, time=5 minutes and 1.79 seconds, total_count=4147, gpu_max_cached_mem_GB=43.836, [att_plot] time=1 minute and 0.37 seconds, total_count=0, gpu_max_cached_mem_GB=43.836
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:46:32,784 (trainer:466) INFO: The best model has been updated: valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:46:32,799 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/8epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:46:32,800 (trainer:321) INFO: 14/50epoch started. Estimated time to finish: 1 week, 3 days and 2 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 02:55:36,878 (trainer:827) INFO: 14epoch:train:1-500batch: iter_time=6.570e-04, forward_time=0.261, loss=3.701, acc=0.207, acc_ar=0.325, acc_nar=0.089, backward_time=0.535, grad_norm=1.147, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.745e-05, train_time=1.088
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:03:10,645 (trainer:827) INFO: 14epoch:train:501-1000batch: iter_time=9.462e-05, forward_time=0.261, loss=3.703, acc=0.206, acc_ar=0.324, acc_nar=0.089, backward_time=0.534, grad_norm=1.151, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.743e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:10:45,879 (trainer:827) INFO: 14epoch:train:1001-1500batch: iter_time=9.377e-05, forward_time=0.261, loss=3.699, acc=0.207, acc_ar=0.325, acc_nar=0.089, backward_time=0.536, grad_norm=1.147, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.741e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:18:21,067 (trainer:827) INFO: 14epoch:train:1501-2000batch: iter_time=9.320e-05, forward_time=0.261, loss=3.709, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.152, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.739e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:25:55,798 (trainer:827) INFO: 14epoch:train:2001-2500batch: iter_time=9.398e-05, forward_time=0.261, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.536, grad_norm=1.150, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.737e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:33:30,804 (trainer:827) INFO: 14epoch:train:2501-3000batch: iter_time=9.613e-05, forward_time=0.261, loss=3.700, acc=0.207, acc_ar=0.324, acc_nar=0.089, backward_time=0.535, grad_norm=1.152, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.735e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:41:05,850 (trainer:827) INFO: 14epoch:train:3001-3500batch: iter_time=9.533e-05, forward_time=0.261, loss=3.711, acc=0.205, acc_ar=0.323, acc_nar=0.088, backward_time=0.535, grad_norm=1.161, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.733e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:48:38,893 (trainer:827) INFO: 14epoch:train:3501-4000batch: iter_time=9.419e-05, forward_time=0.261, loss=3.708, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.535, grad_norm=1.166, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.731e-05, train_time=0.906
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 03:56:13,087 (trainer:827) INFO: 14epoch:train:4001-4500batch: iter_time=9.651e-05, forward_time=0.261, loss=3.699, acc=0.207, acc_ar=0.324, acc_nar=0.089, backward_time=0.535, grad_norm=1.154, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.729e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:03:47,731 (trainer:827) INFO: 14epoch:train:4501-5000batch: iter_time=9.373e-05, forward_time=0.262, loss=3.708, acc=0.205, acc_ar=0.322, acc_nar=0.089, backward_time=0.535, grad_norm=1.156, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.727e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:11:22,223 (trainer:827) INFO: 14epoch:train:5001-5500batch: iter_time=1.104e-04, forward_time=0.261, loss=3.700, acc=0.207, acc_ar=0.324, acc_nar=0.089, backward_time=0.534, grad_norm=1.160, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.725e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:18:55,813 (trainer:827) INFO: 14epoch:train:5501-6000batch: iter_time=9.336e-05, forward_time=0.261, loss=3.699, acc=0.207, acc_ar=0.324, acc_nar=0.089, backward_time=0.533, grad_norm=1.162, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.723e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:26:30,169 (trainer:827) INFO: 14epoch:train:6001-6500batch: iter_time=9.526e-05, forward_time=0.261, loss=3.709, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.534, grad_norm=1.169, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.721e-05, train_time=0.909
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:34:05,690 (trainer:827) INFO: 14epoch:train:6501-7000batch: iter_time=9.584e-05, forward_time=0.261, loss=3.709, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.167, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.719e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:41:40,920 (trainer:827) INFO: 14epoch:train:7001-7500batch: iter_time=9.688e-05, forward_time=0.261, loss=3.706, acc=0.206, acc_ar=0.323, acc_nar=0.089, backward_time=0.535, grad_norm=1.166, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.717e-05, train_time=0.910
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:49:16,513 (trainer:827) INFO: 14epoch:train:7501-8000batch: iter_time=9.683e-05, forward_time=0.262, loss=3.701, acc=0.206, acc_ar=0.324, acc_nar=0.089, backward_time=0.536, grad_norm=1.169, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.715e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 04:56:50,667 (trainer:827) INFO: 14epoch:train:8001-8500batch: iter_time=9.515e-05, forward_time=0.261, loss=3.712, acc=0.205, acc_ar=0.322, acc_nar=0.088, backward_time=0.535, grad_norm=1.170, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.713e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 05:04:24,630 (trainer:827) INFO: 14epoch:train:8501-9000batch: iter_time=9.360e-05, forward_time=0.261, loss=3.715, acc=0.205, acc_ar=0.321, acc_nar=0.088, backward_time=0.536, grad_norm=1.167, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.031, optim0_lr0=2.711e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 05:12:00,466 (trainer:827) INFO: 14epoch:train:9001-9500batch: iter_time=9.725e-05, forward_time=0.262, loss=3.707, acc=0.206, acc_ar=0.323, acc_nar=0.088, backward_time=0.536, grad_norm=1.171, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.709e-05, train_time=0.911
[rootroot-4U4G-SPC621D8:0/2] 2024-09-11 05:19:34,796 (trainer:827) INFO: 14epoch:train:9501-10000batch: iter_time=9.698e-05, forward_time=0.261, loss=3.701, acc=0.207, acc_ar=0.324, acc_nar=0.089, backward_time=0.534, grad_norm=1.173, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.031, optim0_lr0=2.707e-05, train_time=0.908
Traceback (most recent call last):
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/mnt/data/stan/codec_espnet/espnet2/bin/speechlm_train.py", line 22, in <module>
    main()
  File "/mnt/data/stan/codec_espnet/espnet2/bin/speechlm_train.py", line 18, in main
    SpeechLMTask.main(cmd=cmd)
  File "/mnt/data/stan/codec_espnet/espnet2/tasks/abs_task.py", line 1257, in main
    while not ProcessContext(processes, error_queues).join():
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 117, in join
    ready = multiprocessing.connection.wait(
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/multiprocessing/connection.py", line 931, in wait
    ready = selector.select(timeout)
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/selectors.py", line 416, in select
    fd_event_list = self._selector.poll(timeout)
KeyboardInterrupt
Process SpawnProcess-1:
Traceback (most recent call last):
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/mnt/data/stan/codec_espnet/espnet2/tasks/abs_task.py", line 1576, in main_worker
    cls.trainer.run(
  File "/mnt/data/stan/codec_espnet/espnet2/train/trainer.py", line 339, in run
    all_steps_are_invalid = cls.train_one_epoch(
  File "/mnt/data/stan/codec_espnet/espnet2/train/trainer.py", line 712, in train_one_epoch
    scaler.scale(loss).backward()
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/_tensor.py", line 525, in backward
    torch.autograd.backward(
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/autograd/__init__.py", line 267, in backward
    _engine_run_backward(
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/autograd/graph.py", line 744, in _engine_run_backward
    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
KeyboardInterrupt
Process SpawnProcess-2:
Traceback (most recent call last):
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/mnt/data/stan/codec_espnet/espnet2/tasks/abs_task.py", line 1576, in main_worker
    cls.trainer.run(
  File "/mnt/data/stan/codec_espnet/espnet2/train/trainer.py", line 339, in run
    all_steps_are_invalid = cls.train_one_epoch(
  File "/mnt/data/stan/codec_espnet/espnet2/train/trainer.py", line 712, in train_one_epoch
    scaler.scale(loss).backward()
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/_tensor.py", line 525, in backward
    torch.autograd.backward(
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/autograd/__init__.py", line 267, in backward
    _engine_run_backward(
  File "/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/autograd/graph.py", line 744, in _engine_run_backward
    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
KeyboardInterrupt
rootroot-4U4G-SPC621D8:1496971:1497235 [0] NCCL INFO [Service thread] Connection closed by localRank 0
rootroot-4U4G-SPC621D8:1496971:1639638 [0] NCCL INFO comm 0xeaec0f0 rank 0 nranks 2 cudaDev 0 busId 18000 - Abort COMPLETE
rootroot-4U4G-SPC621D8:1496972:1497236 [1] NCCL INFO [Service thread] Connection closed by localRank 1
rootroot-4U4G-SPC621D8:1496972:1639664 [0] NCCL INFO comm 0xfd37ac0 rank 1 nranks 2 cudaDev 1 busId 51000 - Abort COMPLETE