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# 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 Sat Sep  7 07:27:42 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] 2024-09-07 07:28:01,465 (speechlm:274) INFO: Vocabulary size: 8645
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:01,470 (speechlm:283) INFO: Token Bias: {'codec': 256, 'text_bpe': 8448}
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:01,558 (transformer:47) INFO: Build Transformer Decoder with internal implementation
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:03,270 (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] 2024-09-07 07:28:03,276 (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] 2024-09-07 07:28:03,276 (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] 2024-09-07 07:28:03,276 (abs_task:1402) INFO: Scheduler: WarmupLR(warmup_steps=25000)
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:03,277 (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] 2024-09-07 07:28:14,153 (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 0x7f30087238b0>)

[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,153 (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] 2024-09-07 07:28:14,158 (abs_task:1813) INFO: [train] mini-batch sizes summary: N-batch=25390, mean=24.1, min=19, max=32
rootroot-4U4G-SPC621D8:3466195:3466195 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ^lo,docker,virbr,vmnet,vboxnet
rootroot-4U4G-SPC621D8:3466195:3466195 [0] NCCL INFO Bootstrap : Using eno2:140.112.20.2<0>
rootroot-4U4G-SPC621D8:3466195:3466195 [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-SPC621D8:3466195:3466195 [0] NCCL INFO cudaDriverVersion 12020
NCCL version 2.20.5+cuda11.0
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,518 (synchronize_batches:28) INFO: Synchronize sharded dataset across all process
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,519 (synchronize_batches:29) INFO: #Batches: 25390 -> 25502
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,652 (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 0x7f2fee4f37f0>)

[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,653 (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] 2024-09-07 07:28:14,653 (abs_task:1813) INFO: [valid] mini-batch sizes summary: N-batch=316, mean=23.9, min=19, max=30
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,664 (synchronize_batches:28) INFO: Synchronize sharded dataset across all process
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,664 (synchronize_batches:29) INFO: #Batches: 316 -> 319
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,723 (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 0x7f2fee4f28c0>)

[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:28:14,723 (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] 2024-09-07 07:28:14,723 (abs_task:1813) INFO: [plot_att] mini-batch sizes summary: N-batch=3, mean=1.0, min=1, max=1
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Failed to open libibverbs.so[.1]
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ^lo,docker,virbr,vmnet,vboxnet
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO NET/Socket : Using [0]eno2:140.112.20.2<0> [1]veth6157d93:fe80::ec47:48ff:febd:cf3c%veth6157d93<0>
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Using non-device net plugin version 0
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Using network Socket
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO comm 0x11b14890 rank 0 nranks 2 cudaDev 0 nvmlDev 0 busId 18000 commId 0x4fc71607f9893923 - Init START
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Setting affinity for GPU 0 to ffffffff
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO comm 0x11b14890 rank 0 nRanks 2 nNodes 1 localRanks 2 localRank 0 MNNVL 0
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Channel 00/02 :    0   1
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Channel 01/02 :    0   1
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Trees [0] 1/-1/-1->0->-1 [1] 1/-1/-1->0->-1
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO P2P Chunksize set to 131072
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Channel 00 : 0[0] -> 1[1] via SHM/direct/direct
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Channel 01 : 0[0] -> 1[1] via SHM/direct/direct
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Connected all rings
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO Connected all trees
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO threadThresholds 8/8/64 | 16/8/64 | 512 | 512
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO 2 coll channels, 0 collnet channels, 0 nvls channels, 2 p2p channels, 2 p2p channels per peer
rootroot-4U4G-SPC621D8:3466195:3466490 [0] NCCL INFO comm 0x11b14890 rank 0 nranks 2 cudaDev 0 nvmlDev 0 busId 18000 commId 0x4fc71607f9893923 - Init COMPLETE
[rank0]:[W Utils.hpp:108] Warning: Environment variable NCCL_BLOCKING_WAIT is deprecated; use TORCH_NCCL_BLOCKING_WAIT instead (function getCvarString)
rootroot-4U4G-SPC621D8:3466196:3466196 [1] NCCL INFO cudaDriverVersion 12020
rootroot-4U4G-SPC621D8:3466196:3466196 [1] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ^lo,docker,virbr,vmnet,vboxnet
rootroot-4U4G-SPC621D8:3466196:3466196 [1] NCCL INFO Bootstrap : Using eno2:140.112.20.2<0>
rootroot-4U4G-SPC621D8:3466196:3466196 [1] 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-SPC621D8:3466196:3466491 [1] NCCL INFO Failed to open libibverbs.so[.1]
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO NCCL_SOCKET_IFNAME set by environment to ^lo,docker,virbr,vmnet,vboxnet
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO NET/Socket : Using [0]eno2:140.112.20.2<0> [1]veth6157d93:fe80::ec47:48ff:febd:cf3c%veth6157d93<0>
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Using non-device net plugin version 0
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Using network Socket
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO comm 0xc3c4980 rank 1 nranks 2 cudaDev 1 nvmlDev 1 busId 51000 commId 0x4fc71607f9893923 - Init START
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Setting affinity for GPU 1 to ffffffff
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO comm 0xc3c4980 rank 1 nRanks 2 nNodes 1 localRanks 2 localRank 1 MNNVL 0
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Trees [0] -1/-1/-1->1->0 [1] -1/-1/-1->1->0
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO P2P Chunksize set to 131072
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Channel 00 : 1[1] -> 0[0] via SHM/direct/direct
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Channel 01 : 1[1] -> 0[0] via SHM/direct/direct
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Connected all rings
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO Connected all trees
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO threadThresholds 8/8/64 | 16/8/64 | 512 | 512
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO 2 coll channels, 0 collnet channels, 0 nvls channels, 2 p2p channels, 2 p2p channels per peer
rootroot-4U4G-SPC621D8:3466196:3466491 [1] NCCL INFO comm 0xc3c4980 rank 1 nranks 2 cudaDev 1 nvmlDev 1 busId 51000 commId 0x4fc71607f9893923 - Init COMPLETE
[rank1]:[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] 2024-09-07 07:28:14,847 (trainer:333) INFO: 1/50epoch started
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:38:59,740 (trainer:827) INFO: 1epoch:train:1-500batch: iter_time=0.003, forward_time=0.264, loss=8.944, acc=0.006, acc_ar=0.013, acc_nar=1.624e-04, backward_time=0.534, grad_norm=1.024, clip=0.000e+00, loss_scale=6.554e+04, optim_step_time=0.194, optim0_lr0=1.006e-06, train_time=1.290
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:46:30,761 (trainer:827) INFO: 1epoch:train:501-1000batch: iter_time=1.116e-04, forward_time=0.261, loss=8.490, acc=0.021, acc_ar=0.040, acc_nar=7.168e-04, backward_time=0.535, grad_norm=0.750, clip=0.000e+00, loss_scale=6.554e+04, optim_step_time=0.020, optim0_lr0=3.006e-06, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 07:54:00,399 (trainer:827) INFO: 1epoch:train:1001-1500batch: iter_time=1.056e-04, forward_time=0.261, loss=7.930, acc=0.037, acc_ar=0.073, acc_nar=0.001, backward_time=0.534, grad_norm=0.638, clip=0.000e+00, loss_scale=6.554e+04, optim_step_time=0.020, optim0_lr0=5.006e-06, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:01:29,635 (trainer:827) INFO: 1epoch:train:1501-2000batch: iter_time=1.050e-04, forward_time=0.261, loss=7.482, acc=0.061, acc_ar=0.120, acc_nar=0.002, backward_time=0.535, grad_norm=0.655, clip=0.000e+00, loss_scale=6.554e+04, optim_step_time=0.020, optim0_lr0=7.006e-06, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:08:58,764 (trainer:827) INFO: 1epoch:train:2001-2500batch: iter_time=9.990e-05, forward_time=0.261, loss=7.089, acc=0.076, acc_ar=0.151, acc_nar=0.002, backward_time=0.535, grad_norm=0.747, clip=0.000e+00, loss_scale=1.311e+05, optim_step_time=0.019, optim0_lr0=9.006e-06, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:16:26,788 (trainer:827) INFO: 1epoch:train:2501-3000batch: iter_time=1.010e-04, forward_time=0.261, loss=6.710, acc=0.086, acc_ar=0.171, acc_nar=0.002, backward_time=0.534, grad_norm=0.934, clip=0.000e+00, loss_scale=1.311e+05, optim_step_time=0.020, optim0_lr0=1.101e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:23:54,368 (trainer:827) INFO: 1epoch:train:3001-3500batch: iter_time=9.508e-05, forward_time=0.261, loss=6.254, acc=0.093, acc_ar=0.184, acc_nar=0.002, backward_time=0.533, grad_norm=1.038, clip=0.000e+00, loss_scale=1.311e+05, optim_step_time=0.020, optim0_lr0=1.301e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:31:22,744 (trainer:827) INFO: 1epoch:train:3501-4000batch: iter_time=9.865e-05, forward_time=0.260, loss=5.765, acc=0.097, acc_ar=0.191, acc_nar=0.003, backward_time=0.534, grad_norm=1.091, clip=0.000e+00, loss_scale=1.311e+05, optim_step_time=0.020, optim0_lr0=1.501e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:38:49,573 (trainer:827) INFO: 1epoch:train:4001-4500batch: iter_time=1.017e-04, forward_time=0.260, loss=5.513, acc=0.101, acc_ar=0.196, acc_nar=0.005, backward_time=0.531, grad_norm=1.057, clip=0.000e+00, loss_scale=2.621e+05, optim_step_time=0.020, optim0_lr0=1.701e-05, train_time=0.893
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:46:17,366 (trainer:827) INFO: 1epoch:train:4501-5000batch: iter_time=1.001e-04, forward_time=0.261, loss=5.429, acc=0.102, acc_ar=0.197, acc_nar=0.006, backward_time=0.533, grad_norm=0.974, clip=0.000e+00, loss_scale=2.621e+05, optim_step_time=0.019, optim0_lr0=1.901e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 08:53:45,478 (trainer:827) INFO: 1epoch:train:5001-5500batch: iter_time=1.002e-04, forward_time=0.261, loss=5.389, acc=0.103, acc_ar=0.198, acc_nar=0.007, backward_time=0.533, grad_norm=0.942, clip=0.000e+00, loss_scale=2.621e+05, optim_step_time=0.019, optim0_lr0=2.101e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:01:13,598 (trainer:827) INFO: 1epoch:train:5501-6000batch: iter_time=9.739e-05, forward_time=0.261, loss=5.366, acc=0.103, acc_ar=0.199, acc_nar=0.007, backward_time=0.534, grad_norm=0.913, clip=0.000e+00, loss_scale=2.621e+05, optim_step_time=0.020, optim0_lr0=2.301e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:08:41,507 (trainer:827) INFO: 1epoch:train:6001-6500batch: iter_time=1.029e-04, forward_time=0.261, loss=5.337, acc=0.105, acc_ar=0.201, acc_nar=0.008, backward_time=0.533, grad_norm=0.900, clip=0.000e+00, loss_scale=5.243e+05, optim_step_time=0.020, optim0_lr0=2.501e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:16:08,086 (trainer:827) INFO: 1epoch:train:6501-7000batch: iter_time=9.725e-05, forward_time=0.260, loss=5.308, acc=0.106, acc_ar=0.204, acc_nar=0.008, backward_time=0.531, grad_norm=0.916, clip=0.000e+00, loss_scale=5.243e+05, optim_step_time=0.020, optim0_lr0=2.701e-05, train_time=0.893
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:23:35,403 (trainer:827) INFO: 1epoch:train:7001-7500batch: iter_time=9.994e-05, forward_time=0.261, loss=5.275, acc=0.108, acc_ar=0.206, acc_nar=0.009, backward_time=0.533, grad_norm=0.939, clip=0.000e+00, loss_scale=5.243e+05, optim_step_time=0.020, optim0_lr0=2.901e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:31:03,898 (trainer:827) INFO: 1epoch:train:7501-8000batch: iter_time=1.016e-04, forward_time=0.260, loss=5.262, acc=0.108, acc_ar=0.206, acc_nar=0.009, backward_time=0.534, grad_norm=0.935, clip=0.000e+00, loss_scale=5.243e+05, optim_step_time=0.020, optim0_lr0=3.101e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:38:31,806 (trainer:827) INFO: 1epoch:train:8001-8500batch: iter_time=9.748e-05, forward_time=0.261, loss=5.228, acc=0.110, acc_ar=0.210, acc_nar=0.009, backward_time=0.532, grad_norm=0.928, clip=0.000e+00, loss_scale=1.049e+06, optim_step_time=0.020, optim0_lr0=3.301e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:45:59,196 (trainer:827) INFO: 1epoch:train:8501-9000batch: iter_time=1.058e-04, forward_time=0.261, loss=5.206, acc=0.111, acc_ar=0.213, acc_nar=0.010, backward_time=0.533, grad_norm=0.892, clip=0.000e+00, loss_scale=1.049e+06, optim_step_time=0.019, optim0_lr0=3.501e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 09:53:27,549 (trainer:827) INFO: 1epoch:train:9001-9500batch: iter_time=9.931e-05, forward_time=0.261, loss=5.196, acc=0.111, acc_ar=0.211, acc_nar=0.010, backward_time=0.534, grad_norm=0.837, clip=0.000e+00, loss_scale=1.049e+06, optim_step_time=0.020, optim0_lr0=3.701e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:00:55,200 (trainer:827) INFO: 1epoch:train:9501-10000batch: iter_time=1.045e-04, forward_time=0.261, loss=5.173, acc=0.112, acc_ar=0.214, acc_nar=0.010, backward_time=0.534, grad_norm=0.804, clip=0.000e+00, loss_scale=1.049e+06, optim_step_time=0.019, optim0_lr0=3.901e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:08:23,414 (trainer:827) INFO: 1epoch:train:10001-10500batch: iter_time=1.005e-04, forward_time=0.261, loss=5.158, acc=0.113, acc_ar=0.215, acc_nar=0.011, backward_time=0.534, grad_norm=0.782, clip=0.000e+00, loss_scale=2.097e+06, optim_step_time=0.019, optim0_lr0=4.101e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:15:51,262 (trainer:827) INFO: 1epoch:train:10501-11000batch: iter_time=1.005e-04, forward_time=0.261, loss=5.143, acc=0.114, acc_ar=0.216, acc_nar=0.011, backward_time=0.534, grad_norm=0.745, clip=0.000e+00, loss_scale=2.097e+06, optim_step_time=0.020, optim0_lr0=4.301e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:23:19,123 (trainer:827) INFO: 1epoch:train:11001-11500batch: iter_time=9.782e-05, forward_time=0.261, loss=5.132, acc=0.114, acc_ar=0.217, acc_nar=0.011, backward_time=0.533, grad_norm=0.718, clip=0.000e+00, loss_scale=2.097e+06, optim_step_time=0.020, optim0_lr0=4.501e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:30:47,552 (trainer:827) INFO: 1epoch:train:11501-12000batch: iter_time=9.855e-05, forward_time=0.261, loss=5.110, acc=0.116, acc_ar=0.221, acc_nar=0.012, backward_time=0.534, grad_norm=0.693, clip=0.000e+00, loss_scale=2.097e+06, optim_step_time=0.020, optim0_lr0=4.701e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:38:16,144 (trainer:827) INFO: 1epoch:train:12001-12500batch: iter_time=9.947e-05, forward_time=0.261, loss=5.093, acc=0.117, acc_ar=0.223, acc_nar=0.012, backward_time=0.534, grad_norm=0.668, clip=0.000e+00, loss_scale=4.194e+06, optim_step_time=0.020, optim0_lr0=4.901e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:45:43,853 (trainer:827) INFO: 1epoch:train:12501-13000batch: iter_time=1.006e-04, forward_time=0.261, loss=5.090, acc=0.117, acc_ar=0.222, acc_nar=0.013, backward_time=0.534, grad_norm=0.648, clip=0.000e+00, loss_scale=4.194e+06, optim_step_time=0.020, optim0_lr0=5.101e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 10:53:11,572 (trainer:827) INFO: 1epoch:train:13001-13500batch: iter_time=1.018e-04, forward_time=0.261, loss=5.066, acc=0.119, acc_ar=0.225, acc_nar=0.013, backward_time=0.534, grad_norm=0.616, clip=0.000e+00, loss_scale=4.194e+06, optim_step_time=0.020, optim0_lr0=5.301e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:00:39,277 (trainer:827) INFO: 1epoch:train:13501-14000batch: iter_time=1.055e-04, forward_time=0.261, loss=5.066, acc=0.119, acc_ar=0.224, acc_nar=0.013, backward_time=0.533, grad_norm=0.607, clip=0.000e+00, loss_scale=4.194e+06, optim_step_time=0.019, optim0_lr0=5.501e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:08:07,367 (trainer:827) INFO: 1epoch:train:14001-14500batch: iter_time=1.037e-04, forward_time=0.261, loss=5.057, acc=0.119, acc_ar=0.225, acc_nar=0.013, backward_time=0.534, grad_norm=0.594, clip=0.000e+00, loss_scale=8.389e+06, optim_step_time=0.019, optim0_lr0=5.701e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:15:34,425 (trainer:827) INFO: 1epoch:train:14501-15000batch: iter_time=9.890e-05, forward_time=0.261, loss=5.040, acc=0.120, acc_ar=0.225, acc_nar=0.014, backward_time=0.533, grad_norm=0.580, clip=0.000e+00, loss_scale=8.389e+06, optim_step_time=0.019, optim0_lr0=5.901e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:23:02,872 (trainer:827) INFO: 1epoch:train:15001-15500batch: iter_time=9.677e-05, forward_time=0.261, loss=5.024, acc=0.121, acc_ar=0.227, acc_nar=0.014, backward_time=0.533, grad_norm=0.570, clip=0.000e+00, loss_scale=8.389e+06, optim_step_time=0.020, optim0_lr0=6.101e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:30:31,298 (trainer:827) INFO: 1epoch:train:15501-16000batch: iter_time=9.995e-05, forward_time=0.261, loss=5.005, acc=0.122, acc_ar=0.229, acc_nar=0.015, backward_time=0.534, grad_norm=0.567, clip=0.000e+00, loss_scale=8.389e+06, optim_step_time=0.020, optim0_lr0=6.301e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:37:59,166 (trainer:827) INFO: 1epoch:train:16001-16500batch: iter_time=1.007e-04, forward_time=0.261, loss=4.988, acc=0.123, acc_ar=0.230, acc_nar=0.016, backward_time=0.533, grad_norm=0.550, clip=0.000e+00, loss_scale=1.678e+07, optim_step_time=0.020, optim0_lr0=6.501e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:45:26,364 (trainer:827) INFO: 1epoch:train:16501-17000batch: iter_time=1.017e-04, forward_time=0.261, loss=4.987, acc=0.121, acc_ar=0.227, acc_nar=0.016, backward_time=0.534, grad_norm=0.532, clip=0.000e+00, loss_scale=1.678e+07, optim_step_time=0.019, optim0_lr0=6.701e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 11:52:55,028 (trainer:827) INFO: 1epoch:train:17001-17500batch: iter_time=1.022e-04, forward_time=0.261, loss=4.954, acc=0.123, acc_ar=0.229, acc_nar=0.017, backward_time=0.533, grad_norm=0.542, clip=0.000e+00, loss_scale=1.678e+07, optim_step_time=0.020, optim0_lr0=6.901e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:00:23,428 (trainer:827) INFO: 1epoch:train:17501-18000batch: iter_time=1.049e-04, forward_time=0.261, loss=4.926, acc=0.123, acc_ar=0.228, acc_nar=0.019, backward_time=0.535, grad_norm=0.529, clip=0.000e+00, loss_scale=1.678e+07, optim_step_time=0.019, optim0_lr0=7.101e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:07:51,671 (trainer:827) INFO: 1epoch:train:18001-18500batch: iter_time=9.771e-05, forward_time=0.261, loss=4.893, acc=0.125, acc_ar=0.231, acc_nar=0.020, backward_time=0.534, grad_norm=0.543, clip=0.000e+00, loss_scale=3.355e+07, optim_step_time=0.020, optim0_lr0=7.301e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:15:20,102 (trainer:827) INFO: 1epoch:train:18501-19000batch: iter_time=9.752e-05, forward_time=0.261, loss=4.869, acc=0.127, acc_ar=0.232, acc_nar=0.021, backward_time=0.533, grad_norm=0.539, clip=0.000e+00, loss_scale=3.355e+07, optim_step_time=0.020, optim0_lr0=7.501e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:22:48,250 (trainer:827) INFO: 1epoch:train:19001-19500batch: iter_time=1.005e-04, forward_time=0.261, loss=4.846, acc=0.127, acc_ar=0.232, acc_nar=0.022, backward_time=0.534, grad_norm=0.539, clip=0.000e+00, loss_scale=3.355e+07, optim_step_time=0.019, optim0_lr0=7.701e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:30:14,971 (trainer:827) INFO: 1epoch:train:19501-20000batch: iter_time=9.680e-05, forward_time=0.261, loss=4.823, acc=0.128, acc_ar=0.232, acc_nar=0.023, backward_time=0.532, grad_norm=0.528, clip=0.000e+00, loss_scale=3.355e+07, optim_step_time=0.020, optim0_lr0=7.901e-05, train_time=0.893
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:37:43,530 (trainer:827) INFO: 1epoch:train:20001-20500batch: iter_time=9.856e-05, forward_time=0.261, loss=4.797, acc=0.129, acc_ar=0.234, acc_nar=0.024, backward_time=0.534, grad_norm=0.536, clip=0.000e+00, loss_scale=6.711e+07, optim_step_time=0.020, optim0_lr0=8.101e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:45:12,802 (trainer:827) INFO: 1epoch:train:20501-21000batch: iter_time=1.031e-04, forward_time=0.261, loss=4.769, acc=0.131, acc_ar=0.236, acc_nar=0.025, backward_time=0.535, grad_norm=0.535, clip=0.000e+00, loss_scale=6.711e+07, optim_step_time=0.019, optim0_lr0=8.301e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 12:52:41,710 (trainer:827) INFO: 1epoch:train:21001-21500batch: iter_time=1.003e-04, forward_time=0.261, loss=4.740, acc=0.131, acc_ar=0.236, acc_nar=0.027, backward_time=0.535, grad_norm=0.539, clip=0.000e+00, loss_scale=6.711e+07, optim_step_time=0.019, optim0_lr0=8.501e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:00:10,124 (trainer:827) INFO: 1epoch:train:21501-22000batch: iter_time=9.972e-05, forward_time=0.262, loss=4.720, acc=0.132, acc_ar=0.237, acc_nar=0.028, backward_time=0.534, grad_norm=0.548, clip=0.000e+00, loss_scale=6.711e+07, optim_step_time=0.020, optim0_lr0=8.701e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:07:37,525 (trainer:827) INFO: 1epoch:train:22001-22500batch: iter_time=9.716e-05, forward_time=0.261, loss=4.699, acc=0.134, acc_ar=0.239, acc_nar=0.029, backward_time=0.534, grad_norm=0.542, clip=0.000e+00, loss_scale=1.342e+08, optim_step_time=0.020, optim0_lr0=8.901e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:15:06,283 (trainer:827) INFO: 1epoch:train:22501-23000batch: iter_time=9.967e-05, forward_time=0.261, loss=4.682, acc=0.134, acc_ar=0.239, acc_nar=0.030, backward_time=0.533, grad_norm=0.546, clip=0.000e+00, loss_scale=1.342e+08, optim_step_time=0.019, optim0_lr0=9.101e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:22:36,713 (trainer:827) INFO: 1epoch:train:23001-23500batch: iter_time=9.840e-05, forward_time=0.262, loss=4.672, acc=0.134, acc_ar=0.237, acc_nar=0.031, backward_time=0.537, grad_norm=0.542, clip=0.000e+00, loss_scale=1.342e+08, optim_step_time=0.020, optim0_lr0=9.301e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:30:04,881 (trainer:827) INFO: 1epoch:train:23501-24000batch: iter_time=9.644e-05, forward_time=0.261, loss=4.635, acc=0.136, acc_ar=0.241, acc_nar=0.032, backward_time=0.534, grad_norm=0.546, clip=0.000e+00, loss_scale=1.342e+08, optim_step_time=0.019, optim0_lr0=9.501e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:37:33,994 (trainer:827) INFO: 1epoch:train:24001-24500batch: iter_time=9.824e-05, forward_time=0.262, loss=4.625, acc=0.137, acc_ar=0.240, acc_nar=0.033, backward_time=0.535, grad_norm=0.553, clip=0.000e+00, loss_scale=2.684e+08, optim_step_time=0.020, optim0_lr0=9.701e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:45:02,115 (trainer:827) INFO: 1epoch:train:24501-25000batch: iter_time=1.002e-04, forward_time=0.261, loss=4.596, acc=0.138, acc_ar=0.240, acc_nar=0.035, backward_time=0.533, grad_norm=0.553, clip=0.000e+00, loss_scale=2.684e+08, optim_step_time=0.019, optim0_lr0=9.901e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:52:30,857 (trainer:827) INFO: 1epoch:train:25001-25500batch: iter_time=9.900e-05, forward_time=0.261, loss=4.576, acc=0.138, acc_ar=0.239, acc_nar=0.037, backward_time=0.534, grad_norm=0.567, clip=0.000e+00, loss_scale=2.684e+08, optim_step_time=0.019, optim0_lr0=9.950e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:59:01,977 (trainer:387) INFO: 1epoch results: [train] iter_time=1.569e-04, forward_time=0.261, loss=5.375, acc=0.111, acc_ar=0.206, acc_nar=0.015, backward_time=0.534, grad_norm=0.706, clip=0.000e+00, loss_scale=3.686e+07, optim_step_time=0.023, optim0_lr0=5.098e-05, train_time=0.904, time=6 hours, 24 minutes and 38.63 seconds, total_count=25502, gpu_max_cached_mem_GB=42.719, [valid] loss=4.682, acc=0.128, acc_ar=0.220, acc_nar=0.036, time=5 minutes and 4.98 seconds, total_count=319, gpu_max_cached_mem_GB=42.719, [att_plot] time=1 minute and 3.52 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:59:05,906 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 13:59:05,906 (trainer:321) INFO: 2/50epoch started. Estimated time to finish: 1 week, 6 days and 7 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 14:07:58,025 (trainer:827) INFO: 2epoch:train:1-500batch: iter_time=7.704e-04, forward_time=0.261, loss=4.537, acc=0.141, acc_ar=0.242, acc_nar=0.039, backward_time=0.534, grad_norm=0.579, clip=0.000e+00, loss_scale=2.695e+08, optim_step_time=0.020, optim0_lr0=9.853e-05, train_time=1.064
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 14:15:27,531 (trainer:827) INFO: 2epoch:train:501-1000batch: iter_time=9.676e-05, forward_time=0.262, loss=4.513, acc=0.142, acc_ar=0.243, acc_nar=0.041, backward_time=0.536, grad_norm=0.584, clip=0.000e+00, loss_scale=5.369e+08, optim_step_time=0.020, optim0_lr0=9.758e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 14:22:56,484 (trainer:827) INFO: 2epoch:train:1001-1500batch: iter_time=1.024e-04, forward_time=0.261, loss=4.476, acc=0.144, acc_ar=0.246, acc_nar=0.042, backward_time=0.535, grad_norm=0.609, clip=0.000e+00, loss_scale=5.369e+08, optim_step_time=0.019, optim0_lr0=9.667e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 14:30:25,084 (trainer:827) INFO: 2epoch:train:1501-2000batch: iter_time=1.084e-04, forward_time=0.261, loss=4.442, acc=0.147, acc_ar=0.250, acc_nar=0.044, backward_time=0.533, grad_norm=0.626, clip=0.000e+00, loss_scale=5.369e+08, optim_step_time=0.019, optim0_lr0=9.578e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 14:37:53,874 (trainer:827) INFO: 2epoch:train:2001-2500batch: iter_time=9.979e-05, forward_time=0.261, loss=4.416, acc=0.148, acc_ar=0.251, acc_nar=0.045, backward_time=0.534, grad_norm=0.644, clip=0.000e+00, loss_scale=5.390e+08, optim_step_time=0.020, optim0_lr0=9.491e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 14:45:22,334 (trainer:827) INFO: 2epoch:train:2501-3000batch: iter_time=1.012e-04, forward_time=0.261, loss=4.394, acc=0.150, acc_ar=0.253, acc_nar=0.046, backward_time=0.534, grad_norm=0.646, clip=0.000e+00, loss_scale=1.074e+09, optim_step_time=0.020, optim0_lr0=9.407e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 14:52:52,235 (trainer:827) INFO: 2epoch:train:3001-3500batch: iter_time=1.027e-04, forward_time=0.262, loss=4.372, acc=0.151, acc_ar=0.256, acc_nar=0.047, backward_time=0.536, grad_norm=0.653, clip=0.000e+00, loss_scale=1.074e+09, optim_step_time=0.020, optim0_lr0=9.325e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:00:23,628 (trainer:827) INFO: 2epoch:train:3501-4000batch: iter_time=1.012e-04, forward_time=0.261, loss=4.346, acc=0.153, acc_ar=0.258, acc_nar=0.048, backward_time=0.534, grad_norm=0.653, clip=0.000e+00, loss_scale=1.074e+09, optim_step_time=0.025, optim0_lr0=9.245e-05, train_time=0.903
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:07:52,435 (trainer:827) INFO: 2epoch:train:4001-4500batch: iter_time=1.007e-04, forward_time=0.261, loss=4.335, acc=0.153, acc_ar=0.258, acc_nar=0.049, backward_time=0.534, grad_norm=0.650, clip=0.000e+00, loss_scale=1.078e+09, optim_step_time=0.020, optim0_lr0=9.167e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:15:21,542 (trainer:827) INFO: 2epoch:train:4501-5000batch: iter_time=9.547e-05, forward_time=0.261, loss=4.319, acc=0.154, acc_ar=0.259, acc_nar=0.050, backward_time=0.535, grad_norm=0.651, clip=0.000e+00, loss_scale=2.147e+09, optim_step_time=0.020, optim0_lr0=9.090e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:22:50,486 (trainer:827) INFO: 2epoch:train:5001-5500batch: iter_time=9.982e-05, forward_time=0.261, loss=4.293, acc=0.156, acc_ar=0.262, acc_nar=0.051, backward_time=0.535, grad_norm=0.650, clip=0.000e+00, loss_scale=2.147e+09, optim_step_time=0.020, optim0_lr0=9.016e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:30:19,930 (trainer:827) INFO: 2epoch:train:5501-6000batch: iter_time=9.950e-05, forward_time=0.261, loss=4.272, acc=0.158, acc_ar=0.265, acc_nar=0.052, backward_time=0.535, grad_norm=0.651, clip=0.000e+00, loss_scale=2.147e+09, optim_step_time=0.020, optim0_lr0=8.944e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:37:49,241 (trainer:827) INFO: 2epoch:train:6001-6500batch: iter_time=1.003e-04, forward_time=0.261, loss=4.274, acc=0.157, acc_ar=0.262, acc_nar=0.052, backward_time=0.536, grad_norm=0.646, clip=0.000e+00, loss_scale=2.156e+09, optim_step_time=0.020, optim0_lr0=8.873e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:45:18,945 (trainer:827) INFO: 2epoch:train:6501-7000batch: iter_time=9.867e-05, forward_time=0.261, loss=4.240, acc=0.161, acc_ar=0.268, acc_nar=0.053, backward_time=0.536, grad_norm=0.652, clip=0.000e+00, loss_scale=4.295e+09, optim_step_time=0.020, optim0_lr0=8.804e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 15:52:47,610 (trainer:827) INFO: 2epoch:train:7001-7500batch: iter_time=9.653e-05, forward_time=0.261, loss=4.226, acc=0.161, acc_ar=0.268, acc_nar=0.055, backward_time=0.534, grad_norm=0.645, clip=0.000e+00, loss_scale=4.295e+09, optim_step_time=0.020, optim0_lr0=8.737e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:00:15,458 (trainer:827) INFO: 2epoch:train:7501-8000batch: iter_time=9.494e-05, forward_time=0.261, loss=4.210, acc=0.162, acc_ar=0.268, acc_nar=0.056, backward_time=0.533, grad_norm=0.642, clip=0.000e+00, loss_scale=4.295e+09, optim_step_time=0.020, optim0_lr0=8.671e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:07:45,377 (trainer:827) INFO: 2epoch:train:8001-8500batch: iter_time=1.017e-04, forward_time=0.261, loss=4.195, acc=0.164, acc_ar=0.271, acc_nar=0.056, backward_time=0.536, grad_norm=0.632, clip=0.000e+00, loss_scale=4.312e+09, optim_step_time=0.020, optim0_lr0=8.606e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:15:14,110 (trainer:827) INFO: 2epoch:train:8501-9000batch: iter_time=9.728e-05, forward_time=0.261, loss=4.181, acc=0.164, acc_ar=0.270, acc_nar=0.058, backward_time=0.534, grad_norm=0.627, clip=0.000e+00, loss_scale=8.590e+09, optim_step_time=0.020, optim0_lr0=8.543e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:22:43,002 (trainer:827) INFO: 2epoch:train:9001-9500batch: iter_time=9.884e-05, forward_time=0.261, loss=4.174, acc=0.164, acc_ar=0.270, acc_nar=0.058, backward_time=0.534, grad_norm=0.617, clip=0.000e+00, loss_scale=8.590e+09, optim_step_time=0.020, optim0_lr0=8.482e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:30:11,189 (trainer:827) INFO: 2epoch:train:9501-10000batch: iter_time=9.902e-05, forward_time=0.261, loss=4.158, acc=0.165, acc_ar=0.271, acc_nar=0.060, backward_time=0.534, grad_norm=0.616, clip=0.000e+00, loss_scale=8.590e+09, optim_step_time=0.020, optim0_lr0=8.421e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:37:40,198 (trainer:827) INFO: 2epoch:train:10001-10500batch: iter_time=1.009e-04, forward_time=0.261, loss=4.144, acc=0.166, acc_ar=0.272, acc_nar=0.060, backward_time=0.535, grad_norm=0.617, clip=0.000e+00, loss_scale=8.610e+09, optim_step_time=0.020, optim0_lr0=8.362e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:45:10,378 (trainer:827) INFO: 2epoch:train:10501-11000batch: iter_time=9.874e-05, forward_time=0.262, loss=4.133, acc=0.168, acc_ar=0.274, acc_nar=0.061, backward_time=0.536, grad_norm=0.606, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=8.304e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 16:52:39,489 (trainer:827) INFO: 2epoch:train:11001-11500batch: iter_time=1.011e-04, forward_time=0.261, loss=4.114, acc=0.169, acc_ar=0.277, acc_nar=0.062, backward_time=0.535, grad_norm=0.610, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=8.248e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:00:07,882 (trainer:827) INFO: 2epoch:train:11501-12000batch: iter_time=1.024e-04, forward_time=0.261, loss=4.121, acc=0.168, acc_ar=0.274, acc_nar=0.062, backward_time=0.534, grad_norm=0.604, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=8.192e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:07:38,180 (trainer:827) INFO: 2epoch:train:12001-12500batch: iter_time=9.982e-05, forward_time=0.262, loss=4.106, acc=0.170, acc_ar=0.277, acc_nar=0.063, backward_time=0.536, grad_norm=0.600, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=8.138e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:15:07,275 (trainer:827) INFO: 2epoch:train:12501-13000batch: iter_time=1.013e-04, forward_time=0.261, loss=4.108, acc=0.169, acc_ar=0.276, acc_nar=0.063, backward_time=0.535, grad_norm=0.602, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=8.084e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:22:36,684 (trainer:827) INFO: 2epoch:train:13001-13500batch: iter_time=9.702e-05, forward_time=0.261, loss=4.091, acc=0.171, acc_ar=0.279, acc_nar=0.063, backward_time=0.536, grad_norm=0.598, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=8.032e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:30:05,407 (trainer:827) INFO: 2epoch:train:13501-14000batch: iter_time=1.017e-04, forward_time=0.261, loss=4.076, acc=0.173, acc_ar=0.281, acc_nar=0.064, backward_time=0.535, grad_norm=0.597, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.981e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:37:36,131 (trainer:827) INFO: 2epoch:train:14001-14500batch: iter_time=9.853e-05, forward_time=0.262, loss=4.079, acc=0.171, acc_ar=0.278, acc_nar=0.064, backward_time=0.537, grad_norm=0.594, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.930e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:45:05,942 (trainer:827) INFO: 2epoch:train:14501-15000batch: iter_time=9.827e-05, forward_time=0.261, loss=4.080, acc=0.171, acc_ar=0.278, acc_nar=0.064, backward_time=0.536, grad_norm=0.592, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=7.881e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 17:52:35,210 (trainer:827) INFO: 2epoch:train:15001-15500batch: iter_time=9.657e-05, forward_time=0.261, loss=4.058, acc=0.174, acc_ar=0.282, acc_nar=0.066, backward_time=0.535, grad_norm=0.592, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.832e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:00:04,066 (trainer:827) INFO: 2epoch:train:15501-16000batch: iter_time=1.001e-04, forward_time=0.261, loss=4.060, acc=0.173, acc_ar=0.281, acc_nar=0.066, backward_time=0.535, grad_norm=0.588, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.785e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:07:32,979 (trainer:827) INFO: 2epoch:train:16001-16500batch: iter_time=1.043e-04, forward_time=0.261, loss=4.061, acc=0.173, acc_ar=0.280, acc_nar=0.066, backward_time=0.535, grad_norm=0.588, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.738e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:15:02,440 (trainer:827) INFO: 2epoch:train:16501-17000batch: iter_time=9.896e-05, forward_time=0.262, loss=4.049, acc=0.174, acc_ar=0.282, acc_nar=0.066, backward_time=0.535, grad_norm=0.586, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=7.692e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:22:32,476 (trainer:827) INFO: 2epoch:train:17001-17500batch: iter_time=9.725e-05, forward_time=0.262, loss=4.034, acc=0.176, acc_ar=0.285, acc_nar=0.067, backward_time=0.536, grad_norm=0.585, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.647e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:30:02,301 (trainer:827) INFO: 2epoch:train:17501-18000batch: iter_time=9.842e-05, forward_time=0.262, loss=4.038, acc=0.175, acc_ar=0.283, acc_nar=0.067, backward_time=0.536, grad_norm=0.585, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.603e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:37:31,828 (trainer:827) INFO: 2epoch:train:18001-18500batch: iter_time=1.005e-04, forward_time=0.262, loss=4.045, acc=0.174, acc_ar=0.281, acc_nar=0.067, backward_time=0.536, grad_norm=0.580, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.559e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:45:01,068 (trainer:827) INFO: 2epoch:train:18501-19000batch: iter_time=1.018e-04, forward_time=0.261, loss=4.030, acc=0.176, acc_ar=0.284, acc_nar=0.067, backward_time=0.535, grad_norm=0.580, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=7.516e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 18:52:30,243 (trainer:827) INFO: 2epoch:train:19001-19500batch: iter_time=1.041e-04, forward_time=0.261, loss=4.028, acc=0.176, acc_ar=0.285, acc_nar=0.067, backward_time=0.536, grad_norm=0.584, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.474e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:00:00,509 (trainer:827) INFO: 2epoch:train:19501-20000batch: iter_time=9.947e-05, forward_time=0.262, loss=4.029, acc=0.175, acc_ar=0.282, acc_nar=0.068, backward_time=0.536, grad_norm=0.579, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.433e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:07:30,075 (trainer:827) INFO: 2epoch:train:20001-20500batch: iter_time=1.019e-04, forward_time=0.262, loss=4.014, acc=0.177, acc_ar=0.287, acc_nar=0.068, backward_time=0.536, grad_norm=0.579, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.392e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:15:00,214 (trainer:827) INFO: 2epoch:train:20501-21000batch: iter_time=9.550e-05, forward_time=0.262, loss=4.010, acc=0.178, acc_ar=0.287, acc_nar=0.068, backward_time=0.536, grad_norm=0.579, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=7.352e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:22:27,905 (trainer:827) INFO: 2epoch:train:21001-21500batch: iter_time=9.928e-05, forward_time=0.261, loss=4.010, acc=0.178, acc_ar=0.287, acc_nar=0.069, backward_time=0.533, grad_norm=0.578, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.312e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:29:57,640 (trainer:827) INFO: 2epoch:train:21501-22000batch: iter_time=1.012e-04, forward_time=0.262, loss=4.005, acc=0.178, acc_ar=0.288, acc_nar=0.069, backward_time=0.536, grad_norm=0.579, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.274e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:37:26,807 (trainer:827) INFO: 2epoch:train:22001-22500batch: iter_time=1.024e-04, forward_time=0.261, loss=4.006, acc=0.178, acc_ar=0.287, acc_nar=0.069, backward_time=0.536, grad_norm=0.577, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.236e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:44:54,990 (trainer:827) INFO: 2epoch:train:22501-23000batch: iter_time=1.004e-04, forward_time=0.261, loss=3.992, acc=0.180, acc_ar=0.290, acc_nar=0.069, backward_time=0.534, grad_norm=0.574, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=7.198e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:52:24,194 (trainer:827) INFO: 2epoch:train:23001-23500batch: iter_time=1.014e-04, forward_time=0.262, loss=4.008, acc=0.177, acc_ar=0.286, acc_nar=0.069, backward_time=0.536, grad_norm=0.574, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.161e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 19:59:54,545 (trainer:827) INFO: 2epoch:train:23501-24000batch: iter_time=9.899e-05, forward_time=0.262, loss=3.996, acc=0.179, acc_ar=0.288, acc_nar=0.069, backward_time=0.536, grad_norm=0.574, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.124e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:07:23,933 (trainer:827) INFO: 2epoch:train:24001-24500batch: iter_time=9.904e-05, forward_time=0.262, loss=3.995, acc=0.178, acc_ar=0.287, acc_nar=0.070, backward_time=0.536, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.089e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:14:53,437 (trainer:827) INFO: 2epoch:train:24501-25000batch: iter_time=9.551e-05, forward_time=0.262, loss=3.980, acc=0.180, acc_ar=0.290, acc_nar=0.070, backward_time=0.535, grad_norm=0.573, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=7.053e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:22:22,608 (trainer:827) INFO: 2epoch:train:25001-25500batch: iter_time=9.711e-05, forward_time=0.261, loss=3.990, acc=0.179, acc_ar=0.288, acc_nar=0.070, backward_time=0.534, grad_norm=0.572, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=7.018e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:28:49,320 (trainer:387) INFO: 2epoch results: [train] iter_time=1.129e-04, forward_time=0.261, loss=4.154, acc=0.167, acc_ar=0.273, acc_nar=0.060, backward_time=0.535, grad_norm=0.605, clip=0.000e+00, loss_scale=7.197e+09, optim_step_time=0.020, optim0_lr0=8.202e-05, train_time=0.902, time=6 hours, 23 minutes and 33.86 seconds, total_count=51004, gpu_max_cached_mem_GB=42.719, [valid] loss=4.186, acc=0.158, acc_ar=0.251, acc_nar=0.065, time=5 minutes and 4.27 seconds, total_count=638, gpu_max_cached_mem_GB=42.719, [att_plot] time=1 minute and 5.27 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:28:56,935 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:28:56,936 (trainer:321) INFO: 3/50epoch started. Estimated time to finish: 1 week, 6 days and 16 minutes
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:37:49,803 (trainer:827) INFO: 3epoch:train:1-500batch: iter_time=6.159e-04, forward_time=0.262, loss=3.982, acc=0.180, acc_ar=0.290, acc_nar=0.070, backward_time=0.536, grad_norm=0.574, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.984e-05, train_time=1.065
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:45:20,427 (trainer:827) INFO: 3epoch:train:501-1000batch: iter_time=9.659e-05, forward_time=0.262, loss=3.976, acc=0.181, acc_ar=0.291, acc_nar=0.070, backward_time=0.537, grad_norm=0.575, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.950e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 20:52:50,099 (trainer:827) INFO: 3epoch:train:1001-1500batch: iter_time=1.058e-04, forward_time=0.262, loss=3.972, acc=0.181, acc_ar=0.291, acc_nar=0.071, backward_time=0.535, grad_norm=0.569, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.019, optim0_lr0=6.917e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:00:19,342 (trainer:827) INFO: 3epoch:train:1501-2000batch: iter_time=1.027e-04, forward_time=0.261, loss=3.978, acc=0.180, acc_ar=0.290, acc_nar=0.070, backward_time=0.537, grad_norm=0.574, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.884e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:07:49,164 (trainer:827) INFO: 3epoch:train:2001-2500batch: iter_time=1.058e-04, forward_time=0.262, loss=3.973, acc=0.181, acc_ar=0.291, acc_nar=0.071, backward_time=0.535, grad_norm=0.572, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=6.852e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:15:17,858 (trainer:827) INFO: 3epoch:train:2501-3000batch: iter_time=1.052e-04, forward_time=0.261, loss=3.968, acc=0.181, acc_ar=0.291, acc_nar=0.072, backward_time=0.534, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=6.820e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:22:47,819 (trainer:827) INFO: 3epoch:train:3001-3500batch: iter_time=1.016e-04, forward_time=0.262, loss=3.966, acc=0.182, acc_ar=0.292, acc_nar=0.071, backward_time=0.535, grad_norm=0.572, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=6.788e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:30:17,765 (trainer:827) INFO: 3epoch:train:3501-4000batch: iter_time=1.017e-04, forward_time=0.261, loss=3.969, acc=0.181, acc_ar=0.291, acc_nar=0.071, backward_time=0.536, grad_norm=0.569, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.757e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:37:51,268 (trainer:827) INFO: 3epoch:train:4001-4500batch: iter_time=1.057e-04, forward_time=0.262, loss=3.963, acc=0.182, acc_ar=0.292, acc_nar=0.071, backward_time=0.535, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.028, optim0_lr0=6.726e-05, train_time=0.907
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:45:20,296 (trainer:827) INFO: 3epoch:train:4501-5000batch: iter_time=9.756e-05, forward_time=0.262, loss=3.958, acc=0.182, acc_ar=0.292, acc_nar=0.072, backward_time=0.535, grad_norm=0.571, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.696e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 21:52:50,028 (trainer:827) INFO: 3epoch:train:5001-5500batch: iter_time=1.007e-04, forward_time=0.262, loss=3.951, acc=0.183, acc_ar=0.293, acc_nar=0.072, backward_time=0.536, grad_norm=0.570, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=6.666e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:00:22,401 (trainer:827) INFO: 3epoch:train:5501-6000batch: iter_time=1.042e-04, forward_time=0.261, loss=3.956, acc=0.182, acc_ar=0.293, acc_nar=0.072, backward_time=0.534, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.024, optim0_lr0=6.637e-05, train_time=0.905
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:07:52,848 (trainer:827) INFO: 3epoch:train:6001-6500batch: iter_time=9.749e-05, forward_time=0.262, loss=3.952, acc=0.182, acc_ar=0.292, acc_nar=0.072, backward_time=0.536, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.608e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:15:22,739 (trainer:827) INFO: 3epoch:train:6501-7000batch: iter_time=9.973e-05, forward_time=0.261, loss=3.954, acc=0.182, acc_ar=0.292, acc_nar=0.072, backward_time=0.533, grad_norm=0.571, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.023, optim0_lr0=6.579e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:22:52,771 (trainer:827) INFO: 3epoch:train:7001-7500batch: iter_time=1.031e-04, forward_time=0.262, loss=3.935, acc=0.184, acc_ar=0.296, acc_nar=0.073, backward_time=0.537, grad_norm=0.573, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=6.551e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:30:22,891 (trainer:827) INFO: 3epoch:train:7501-8000batch: iter_time=1.059e-04, forward_time=0.262, loss=3.942, acc=0.184, acc_ar=0.295, acc_nar=0.072, backward_time=0.536, grad_norm=0.574, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.523e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:37:52,044 (trainer:827) INFO: 3epoch:train:8001-8500batch: iter_time=1.033e-04, forward_time=0.262, loss=3.936, acc=0.185, acc_ar=0.296, acc_nar=0.073, backward_time=0.535, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.495e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:45:19,699 (trainer:827) INFO: 3epoch:train:8501-9000batch: iter_time=1.039e-04, forward_time=0.261, loss=3.943, acc=0.183, acc_ar=0.294, acc_nar=0.073, backward_time=0.534, grad_norm=0.576, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.468e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 22:52:49,374 (trainer:827) INFO: 3epoch:train:9001-9500batch: iter_time=1.032e-04, forward_time=0.262, loss=3.943, acc=0.183, acc_ar=0.294, acc_nar=0.073, backward_time=0.536, grad_norm=0.575, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=6.441e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:00:18,895 (trainer:827) INFO: 3epoch:train:9501-10000batch: iter_time=1.005e-04, forward_time=0.262, loss=3.933, acc=0.184, acc_ar=0.296, acc_nar=0.073, backward_time=0.536, grad_norm=0.575, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.415e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:07:48,700 (trainer:827) INFO: 3epoch:train:10001-10500batch: iter_time=9.897e-05, forward_time=0.262, loss=3.938, acc=0.184, acc_ar=0.295, acc_nar=0.073, backward_time=0.537, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.388e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:15:18,853 (trainer:827) INFO: 3epoch:train:10501-11000batch: iter_time=1.024e-04, forward_time=0.262, loss=3.935, acc=0.184, acc_ar=0.295, acc_nar=0.073, backward_time=0.536, grad_norm=0.578, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.363e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:22:55,840 (trainer:827) INFO: 3epoch:train:11001-11500batch: iter_time=1.062e-04, forward_time=0.262, loss=3.937, acc=0.184, acc_ar=0.295, acc_nar=0.073, backward_time=0.536, grad_norm=0.574, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.025, optim0_lr0=6.337e-05, train_time=0.914
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:30:25,175 (trainer:827) INFO: 3epoch:train:11501-12000batch: iter_time=1.020e-04, forward_time=0.261, loss=3.928, acc=0.185, acc_ar=0.296, acc_nar=0.073, backward_time=0.535, grad_norm=0.573, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.312e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:37:55,004 (trainer:827) INFO: 3epoch:train:12001-12500batch: iter_time=9.892e-05, forward_time=0.262, loss=3.928, acc=0.185, acc_ar=0.296, acc_nar=0.073, backward_time=0.536, grad_norm=0.576, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.287e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:45:24,608 (trainer:827) INFO: 3epoch:train:12501-13000batch: iter_time=1.016e-04, forward_time=0.261, loss=3.920, acc=0.186, acc_ar=0.297, acc_nar=0.074, backward_time=0.535, grad_norm=0.575, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.262e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-07 23:52:54,812 (trainer:827) INFO: 3epoch:train:13001-13500batch: iter_time=1.006e-04, forward_time=0.262, loss=3.932, acc=0.184, acc_ar=0.294, acc_nar=0.074, backward_time=0.535, grad_norm=0.576, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=6.238e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:00:23,670 (trainer:827) INFO: 3epoch:train:13501-14000batch: iter_time=1.036e-04, forward_time=0.261, loss=3.934, acc=0.183, acc_ar=0.294, acc_nar=0.073, backward_time=0.535, grad_norm=0.579, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.213e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:07:53,513 (trainer:827) INFO: 3epoch:train:14001-14500batch: iter_time=1.001e-04, forward_time=0.261, loss=3.928, acc=0.184, acc_ar=0.295, acc_nar=0.074, backward_time=0.536, grad_norm=0.577, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=6.190e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:15:23,402 (trainer:827) INFO: 3epoch:train:14501-15000batch: iter_time=1.028e-04, forward_time=0.262, loss=3.920, acc=0.185, acc_ar=0.297, acc_nar=0.074, backward_time=0.535, grad_norm=0.578, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.166e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:22:53,303 (trainer:827) INFO: 3epoch:train:15001-15500batch: iter_time=1.034e-04, forward_time=0.262, loss=3.915, acc=0.186, acc_ar=0.298, acc_nar=0.075, backward_time=0.535, grad_norm=0.581, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=6.143e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:30:23,114 (trainer:827) INFO: 3epoch:train:15501-16000batch: iter_time=1.041e-04, forward_time=0.262, loss=3.920, acc=0.186, acc_ar=0.297, acc_nar=0.074, backward_time=0.536, grad_norm=0.577, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.120e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:37:51,453 (trainer:827) INFO: 3epoch:train:16001-16500batch: iter_time=1.000e-04, forward_time=0.261, loss=3.913, acc=0.187, acc_ar=0.298, acc_nar=0.075, backward_time=0.535, grad_norm=0.582, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.097e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:45:21,682 (trainer:827) INFO: 3epoch:train:16501-17000batch: iter_time=1.033e-04, forward_time=0.262, loss=3.914, acc=0.186, acc_ar=0.297, acc_nar=0.075, backward_time=0.535, grad_norm=0.579, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.074e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 00:52:50,998 (trainer:827) INFO: 3epoch:train:17001-17500batch: iter_time=1.022e-04, forward_time=0.262, loss=3.919, acc=0.185, acc_ar=0.296, acc_nar=0.074, backward_time=0.536, grad_norm=0.579, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=6.052e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:00:20,142 (trainer:827) INFO: 3epoch:train:17501-18000batch: iter_time=1.011e-04, forward_time=0.261, loss=3.914, acc=0.186, acc_ar=0.298, acc_nar=0.075, backward_time=0.534, grad_norm=0.581, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.030e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:07:50,874 (trainer:827) INFO: 3epoch:train:18001-18500batch: iter_time=9.827e-05, forward_time=0.262, loss=3.916, acc=0.185, acc_ar=0.296, acc_nar=0.074, backward_time=0.537, grad_norm=0.579, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=6.008e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:15:20,074 (trainer:827) INFO: 3epoch:train:18501-19000batch: iter_time=9.988e-05, forward_time=0.262, loss=3.909, acc=0.186, acc_ar=0.297, acc_nar=0.075, backward_time=0.534, grad_norm=0.580, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.987e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:22:49,954 (trainer:827) INFO: 3epoch:train:19001-19500batch: iter_time=1.026e-04, forward_time=0.262, loss=3.897, acc=0.188, acc_ar=0.300, acc_nar=0.076, backward_time=0.537, grad_norm=0.580, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.965e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:30:20,809 (trainer:827) INFO: 3epoch:train:19501-20000batch: iter_time=1.034e-04, forward_time=0.262, loss=3.903, acc=0.187, acc_ar=0.298, acc_nar=0.076, backward_time=0.537, grad_norm=0.584, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.944e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:37:49,586 (trainer:827) INFO: 3epoch:train:20001-20500batch: iter_time=1.010e-04, forward_time=0.262, loss=3.898, acc=0.188, acc_ar=0.300, acc_nar=0.076, backward_time=0.534, grad_norm=0.584, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.923e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:45:18,423 (trainer:827) INFO: 3epoch:train:20501-21000batch: iter_time=1.016e-04, forward_time=0.261, loss=3.892, acc=0.189, acc_ar=0.302, acc_nar=0.076, backward_time=0.534, grad_norm=0.583, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.903e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 01:52:48,368 (trainer:827) INFO: 3epoch:train:21001-21500batch: iter_time=9.751e-05, forward_time=0.262, loss=3.895, acc=0.188, acc_ar=0.301, acc_nar=0.075, backward_time=0.537, grad_norm=0.581, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.882e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:00:17,649 (trainer:827) INFO: 3epoch:train:21501-22000batch: iter_time=1.053e-04, forward_time=0.262, loss=3.902, acc=0.187, acc_ar=0.299, acc_nar=0.075, backward_time=0.536, grad_norm=0.586, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.862e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:07:46,695 (trainer:827) INFO: 3epoch:train:22001-22500batch: iter_time=1.005e-04, forward_time=0.262, loss=3.898, acc=0.187, acc_ar=0.299, acc_nar=0.076, backward_time=0.534, grad_norm=0.586, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.842e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:15:16,643 (trainer:827) INFO: 3epoch:train:22501-23000batch: iter_time=1.027e-04, forward_time=0.262, loss=3.905, acc=0.186, acc_ar=0.297, acc_nar=0.075, backward_time=0.535, grad_norm=0.586, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.822e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:22:46,632 (trainer:827) INFO: 3epoch:train:23001-23500batch: iter_time=9.860e-05, forward_time=0.262, loss=3.895, acc=0.188, acc_ar=0.300, acc_nar=0.075, backward_time=0.536, grad_norm=0.584, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.802e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:30:17,147 (trainer:827) INFO: 3epoch:train:23501-24000batch: iter_time=1.007e-04, forward_time=0.262, loss=3.892, acc=0.188, acc_ar=0.300, acc_nar=0.076, backward_time=0.537, grad_norm=0.587, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.783e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:37:47,325 (trainer:827) INFO: 3epoch:train:24001-24500batch: iter_time=1.074e-04, forward_time=0.262, loss=3.887, acc=0.189, acc_ar=0.301, acc_nar=0.076, backward_time=0.536, grad_norm=0.590, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.764e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:45:16,479 (trainer:827) INFO: 3epoch:train:24501-25000batch: iter_time=1.018e-04, forward_time=0.261, loss=3.899, acc=0.187, acc_ar=0.298, acc_nar=0.076, backward_time=0.535, grad_norm=0.589, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.745e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:52:46,269 (trainer:827) INFO: 3epoch:train:25001-25500batch: iter_time=1.022e-04, forward_time=0.262, loss=3.892, acc=0.188, acc_ar=0.300, acc_nar=0.076, backward_time=0.536, grad_norm=0.591, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.726e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:59:20,691 (trainer:387) INFO: 3epoch results: [train] iter_time=1.121e-04, forward_time=0.262, loss=3.930, acc=0.185, acc_ar=0.296, acc_nar=0.073, backward_time=0.535, grad_norm=0.578, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.020, optim0_lr0=6.294e-05, train_time=0.903, time=6 hours, 24 minutes and 16.57 seconds, total_count=76506, gpu_max_cached_mem_GB=42.719, [valid] loss=4.109, acc=0.164, acc_ar=0.258, acc_nar=0.070, time=5 minutes and 5.07 seconds, total_count=957, gpu_max_cached_mem_GB=42.719, [att_plot] time=1 minute and 2.11 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:59:29,908 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 02:59:29,910 (trainer:321) INFO: 4/50epoch started. Estimated time to finish: 1 week, 5 days and 17 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 03:08:27,730 (trainer:827) INFO: 4epoch:train:1-500batch: iter_time=7.387e-04, forward_time=0.262, loss=3.887, acc=0.188, acc_ar=0.300, acc_nar=0.076, backward_time=0.538, grad_norm=0.589, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.707e-05, train_time=1.075
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 03:15:58,995 (trainer:827) INFO: 4epoch:train:501-1000batch: iter_time=9.999e-05, forward_time=0.262, loss=3.889, acc=0.188, acc_ar=0.301, acc_nar=0.076, backward_time=0.538, grad_norm=0.590, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.689e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 03:23:28,704 (trainer:827) INFO: 4epoch:train:1001-1500batch: iter_time=1.036e-04, forward_time=0.261, loss=3.871, acc=0.191, acc_ar=0.305, acc_nar=0.077, backward_time=0.535, grad_norm=0.594, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.670e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 03:30:58,743 (trainer:827) INFO: 4epoch:train:1501-2000batch: iter_time=1.024e-04, forward_time=0.261, loss=3.880, acc=0.189, acc_ar=0.301, acc_nar=0.077, backward_time=0.536, grad_norm=0.590, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.652e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 03:38:28,566 (trainer:827) INFO: 4epoch:train:2001-2500batch: iter_time=1.024e-04, forward_time=0.262, loss=3.881, acc=0.189, acc_ar=0.301, acc_nar=0.077, backward_time=0.535, grad_norm=0.592, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.634e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 03:45:58,223 (trainer:827) INFO: 4epoch:train:2501-3000batch: iter_time=1.045e-04, forward_time=0.261, loss=3.885, acc=0.188, acc_ar=0.300, acc_nar=0.076, backward_time=0.535, grad_norm=0.595, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.616e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 03:53:29,207 (trainer:827) INFO: 4epoch:train:3001-3500batch: iter_time=1.045e-04, forward_time=0.262, loss=3.884, acc=0.189, acc_ar=0.301, acc_nar=0.076, backward_time=0.537, grad_norm=0.593, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.599e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:00:58,913 (trainer:827) INFO: 4epoch:train:3501-4000batch: iter_time=9.965e-05, forward_time=0.262, loss=3.881, acc=0.189, acc_ar=0.303, acc_nar=0.076, backward_time=0.536, grad_norm=0.595, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.581e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:08:29,118 (trainer:827) INFO: 4epoch:train:4001-4500batch: iter_time=9.872e-05, forward_time=0.262, loss=3.880, acc=0.189, acc_ar=0.303, acc_nar=0.076, backward_time=0.536, grad_norm=0.595, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.564e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:16:00,437 (trainer:827) INFO: 4epoch:train:4501-5000batch: iter_time=9.927e-05, forward_time=0.262, loss=3.884, acc=0.188, acc_ar=0.301, acc_nar=0.076, backward_time=0.538, grad_norm=0.595, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.547e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:23:29,183 (trainer:827) INFO: 4epoch:train:5001-5500batch: iter_time=1.016e-04, forward_time=0.261, loss=3.881, acc=0.189, acc_ar=0.301, acc_nar=0.077, backward_time=0.534, grad_norm=0.596, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.530e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:31:00,035 (trainer:827) INFO: 4epoch:train:5501-6000batch: iter_time=1.097e-04, forward_time=0.262, loss=3.863, acc=0.191, acc_ar=0.305, acc_nar=0.077, backward_time=0.536, grad_norm=0.596, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.513e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:38:30,704 (trainer:827) INFO: 4epoch:train:6001-6500batch: iter_time=1.049e-04, forward_time=0.262, loss=3.873, acc=0.190, acc_ar=0.303, acc_nar=0.077, backward_time=0.536, grad_norm=0.597, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.496e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:46:00,485 (trainer:827) INFO: 4epoch:train:6501-7000batch: iter_time=1.020e-04, forward_time=0.262, loss=3.868, acc=0.191, acc_ar=0.304, acc_nar=0.077, backward_time=0.538, grad_norm=0.597, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.480e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 04:53:30,448 (trainer:827) INFO: 4epoch:train:7001-7500batch: iter_time=1.034e-04, forward_time=0.262, loss=3.861, acc=0.192, acc_ar=0.306, acc_nar=0.078, backward_time=0.535, grad_norm=0.598, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.463e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:01:00,463 (trainer:827) INFO: 4epoch:train:7501-8000batch: iter_time=9.740e-05, forward_time=0.262, loss=3.868, acc=0.190, acc_ar=0.304, acc_nar=0.077, backward_time=0.535, grad_norm=0.601, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.447e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:08:30,930 (trainer:827) INFO: 4epoch:train:8001-8500batch: iter_time=1.081e-04, forward_time=0.262, loss=3.855, acc=0.192, acc_ar=0.305, acc_nar=0.078, backward_time=0.537, grad_norm=0.601, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.431e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:16:00,414 (trainer:827) INFO: 4epoch:train:8501-9000batch: iter_time=9.843e-05, forward_time=0.262, loss=3.867, acc=0.191, acc_ar=0.304, acc_nar=0.077, backward_time=0.536, grad_norm=0.601, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.415e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:23:29,440 (trainer:827) INFO: 4epoch:train:9001-9500batch: iter_time=1.008e-04, forward_time=0.261, loss=3.863, acc=0.191, acc_ar=0.304, acc_nar=0.078, backward_time=0.536, grad_norm=0.603, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.399e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:30:59,166 (trainer:827) INFO: 4epoch:train:9501-10000batch: iter_time=1.015e-04, forward_time=0.261, loss=3.868, acc=0.190, acc_ar=0.303, acc_nar=0.077, backward_time=0.535, grad_norm=0.599, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.384e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:38:29,430 (trainer:827) INFO: 4epoch:train:10001-10500batch: iter_time=1.029e-04, forward_time=0.262, loss=3.861, acc=0.191, acc_ar=0.304, acc_nar=0.078, backward_time=0.535, grad_norm=0.605, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.368e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:45:58,758 (trainer:827) INFO: 4epoch:train:10501-11000batch: iter_time=9.978e-05, forward_time=0.261, loss=3.865, acc=0.190, acc_ar=0.303, acc_nar=0.078, backward_time=0.536, grad_norm=0.603, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.353e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 05:53:29,041 (trainer:827) INFO: 4epoch:train:11001-11500batch: iter_time=1.007e-04, forward_time=0.262, loss=3.860, acc=0.191, acc_ar=0.305, acc_nar=0.077, backward_time=0.536, grad_norm=0.604, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.337e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:00:56,609 (trainer:827) INFO: 4epoch:train:11501-12000batch: iter_time=1.002e-04, forward_time=0.262, loss=3.854, acc=0.192, acc_ar=0.306, acc_nar=0.078, backward_time=0.534, grad_norm=0.604, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.322e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:08:26,129 (trainer:827) INFO: 4epoch:train:12001-12500batch: iter_time=1.006e-04, forward_time=0.262, loss=3.867, acc=0.190, acc_ar=0.303, acc_nar=0.077, backward_time=0.536, grad_norm=0.603, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.307e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:15:56,060 (trainer:827) INFO: 4epoch:train:12501-13000batch: iter_time=1.043e-04, forward_time=0.262, loss=3.863, acc=0.191, acc_ar=0.304, acc_nar=0.078, backward_time=0.536, grad_norm=0.608, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.292e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:23:27,018 (trainer:827) INFO: 4epoch:train:13001-13500batch: iter_time=1.087e-04, forward_time=0.262, loss=3.851, acc=0.193, acc_ar=0.307, acc_nar=0.078, backward_time=0.537, grad_norm=0.605, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.278e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:30:57,623 (trainer:827) INFO: 4epoch:train:13501-14000batch: iter_time=9.912e-05, forward_time=0.262, loss=3.862, acc=0.191, acc_ar=0.303, acc_nar=0.078, backward_time=0.537, grad_norm=0.611, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.263e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:38:26,601 (trainer:827) INFO: 4epoch:train:14001-14500batch: iter_time=1.015e-04, forward_time=0.262, loss=3.855, acc=0.191, acc_ar=0.305, acc_nar=0.078, backward_time=0.535, grad_norm=0.607, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.248e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:45:55,528 (trainer:827) INFO: 4epoch:train:14501-15000batch: iter_time=1.003e-04, forward_time=0.261, loss=3.857, acc=0.192, acc_ar=0.305, acc_nar=0.078, backward_time=0.534, grad_norm=0.610, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.234e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 06:53:25,944 (trainer:827) INFO: 4epoch:train:15001-15500batch: iter_time=1.059e-04, forward_time=0.262, loss=3.852, acc=0.192, acc_ar=0.306, acc_nar=0.078, backward_time=0.536, grad_norm=0.610, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.220e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:00:54,455 (trainer:827) INFO: 4epoch:train:15501-16000batch: iter_time=1.064e-04, forward_time=0.262, loss=3.858, acc=0.191, acc_ar=0.305, acc_nar=0.078, backward_time=0.536, grad_norm=0.610, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.206e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:08:22,875 (trainer:827) INFO: 4epoch:train:16001-16500batch: iter_time=1.095e-04, forward_time=0.262, loss=3.855, acc=0.192, acc_ar=0.305, acc_nar=0.078, backward_time=0.534, grad_norm=0.614, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=5.192e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:15:52,610 (trainer:827) INFO: 4epoch:train:16501-17000batch: iter_time=1.070e-04, forward_time=0.261, loss=3.862, acc=0.191, acc_ar=0.304, acc_nar=0.078, backward_time=0.535, grad_norm=0.614, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.178e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:23:21,017 (trainer:827) INFO: 4epoch:train:17001-17500batch: iter_time=1.004e-04, forward_time=0.261, loss=3.854, acc=0.192, acc_ar=0.305, acc_nar=0.078, backward_time=0.533, grad_norm=0.616, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.164e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:30:51,408 (trainer:827) INFO: 4epoch:train:17501-18000batch: iter_time=9.982e-05, forward_time=0.262, loss=3.849, acc=0.192, acc_ar=0.306, acc_nar=0.079, backward_time=0.537, grad_norm=0.614, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.150e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:38:21,740 (trainer:827) INFO: 4epoch:train:18001-18500batch: iter_time=1.034e-04, forward_time=0.262, loss=3.848, acc=0.192, acc_ar=0.305, acc_nar=0.079, backward_time=0.537, grad_norm=0.618, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.136e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:45:51,855 (trainer:827) INFO: 4epoch:train:18501-19000batch: iter_time=1.015e-04, forward_time=0.261, loss=3.856, acc=0.191, acc_ar=0.303, acc_nar=0.079, backward_time=0.536, grad_norm=0.614, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.123e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 07:53:21,601 (trainer:827) INFO: 4epoch:train:19001-19500batch: iter_time=9.991e-05, forward_time=0.262, loss=3.846, acc=0.193, acc_ar=0.307, acc_nar=0.079, backward_time=0.536, grad_norm=0.619, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.110e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:00:51,180 (trainer:827) INFO: 4epoch:train:19501-20000batch: iter_time=1.035e-04, forward_time=0.261, loss=3.856, acc=0.191, acc_ar=0.304, acc_nar=0.078, backward_time=0.536, grad_norm=0.618, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.096e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:08:20,249 (trainer:827) INFO: 4epoch:train:20001-20500batch: iter_time=1.055e-04, forward_time=0.261, loss=3.849, acc=0.192, acc_ar=0.305, acc_nar=0.079, backward_time=0.534, grad_norm=0.623, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.083e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:15:49,255 (trainer:827) INFO: 4epoch:train:20501-21000batch: iter_time=1.027e-04, forward_time=0.262, loss=3.843, acc=0.193, acc_ar=0.306, acc_nar=0.080, backward_time=0.535, grad_norm=0.621, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.070e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:23:19,909 (trainer:827) INFO: 4epoch:train:21001-21500batch: iter_time=1.003e-04, forward_time=0.262, loss=3.849, acc=0.192, acc_ar=0.306, acc_nar=0.078, backward_time=0.536, grad_norm=0.620, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.057e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:30:49,677 (trainer:827) INFO: 4epoch:train:21501-22000batch: iter_time=1.042e-04, forward_time=0.262, loss=3.844, acc=0.193, acc_ar=0.306, acc_nar=0.079, backward_time=0.536, grad_norm=0.622, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=5.044e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:38:19,481 (trainer:827) INFO: 4epoch:train:22001-22500batch: iter_time=1.040e-04, forward_time=0.261, loss=3.845, acc=0.193, acc_ar=0.306, acc_nar=0.079, backward_time=0.534, grad_norm=0.623, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.031e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:45:49,460 (trainer:827) INFO: 4epoch:train:22501-23000batch: iter_time=1.000e-04, forward_time=0.262, loss=3.837, acc=0.193, acc_ar=0.308, acc_nar=0.079, backward_time=0.536, grad_norm=0.622, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.019e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 08:53:19,452 (trainer:827) INFO: 4epoch:train:23001-23500batch: iter_time=1.008e-04, forward_time=0.262, loss=3.848, acc=0.192, acc_ar=0.305, acc_nar=0.079, backward_time=0.536, grad_norm=0.626, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.006e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:00:49,262 (trainer:827) INFO: 4epoch:train:23501-24000batch: iter_time=1.052e-04, forward_time=0.262, loss=3.852, acc=0.192, acc_ar=0.304, acc_nar=0.079, backward_time=0.536, grad_norm=0.626, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.994e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:08:19,547 (trainer:827) INFO: 4epoch:train:24001-24500batch: iter_time=9.888e-05, forward_time=0.262, loss=3.840, acc=0.193, acc_ar=0.307, acc_nar=0.079, backward_time=0.535, grad_norm=0.625, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.981e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:15:49,402 (trainer:827) INFO: 4epoch:train:24501-25000batch: iter_time=1.063e-04, forward_time=0.262, loss=3.838, acc=0.193, acc_ar=0.306, acc_nar=0.080, backward_time=0.536, grad_norm=0.626, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.969e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:23:18,569 (trainer:827) INFO: 4epoch:train:25001-25500batch: iter_time=1.007e-04, forward_time=0.262, loss=3.850, acc=0.192, acc_ar=0.304, acc_nar=0.079, backward_time=0.535, grad_norm=0.629, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.957e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:29:39,386 (trainer:387) INFO: 4epoch results: [train] iter_time=1.150e-04, forward_time=0.262, loss=3.861, acc=0.191, acc_ar=0.304, acc_nar=0.078, backward_time=0.536, grad_norm=0.608, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=5.306e-05, train_time=0.903, time=6 hours, 24 minutes and 5.13 seconds, total_count=102008, gpu_max_cached_mem_GB=42.719, [valid] loss=4.069, acc=0.167, acc_ar=0.261, acc_nar=0.073, time=5 minutes and 3.01 seconds, total_count=1276, gpu_max_cached_mem_GB=42.719, [att_plot] time=1 minute and 1.34 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:29:45,328 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:29:45,330 (trainer:321) INFO: 5/50epoch started. Estimated time to finish: 1 week, 5 days and 11 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:38:47,799 (trainer:827) INFO: 5epoch:train:1-500batch: iter_time=7.751e-04, forward_time=0.262, loss=3.834, acc=0.194, acc_ar=0.309, acc_nar=0.079, backward_time=0.537, grad_norm=0.627, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.944e-05, train_time=1.085
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:46:17,849 (trainer:827) INFO: 5epoch:train:501-1000batch: iter_time=1.018e-04, forward_time=0.262, loss=3.833, acc=0.194, acc_ar=0.308, acc_nar=0.079, backward_time=0.536, grad_norm=0.629, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.932e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 09:53:47,343 (trainer:827) INFO: 5epoch:train:1001-1500batch: iter_time=9.948e-05, forward_time=0.262, loss=3.833, acc=0.194, acc_ar=0.307, acc_nar=0.080, backward_time=0.535, grad_norm=0.632, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.920e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:01:16,921 (trainer:827) INFO: 5epoch:train:1501-2000batch: iter_time=9.841e-05, forward_time=0.262, loss=3.835, acc=0.193, acc_ar=0.307, acc_nar=0.079, backward_time=0.535, grad_norm=0.631, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.909e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:08:46,843 (trainer:827) INFO: 5epoch:train:2001-2500batch: iter_time=9.858e-05, forward_time=0.262, loss=3.835, acc=0.193, acc_ar=0.307, acc_nar=0.080, backward_time=0.536, grad_norm=0.630, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.897e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:16:16,841 (trainer:827) INFO: 5epoch:train:2501-3000batch: iter_time=1.017e-04, forward_time=0.262, loss=3.832, acc=0.194, acc_ar=0.308, acc_nar=0.080, backward_time=0.536, grad_norm=0.631, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.885e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:23:46,157 (trainer:827) INFO: 5epoch:train:3001-3500batch: iter_time=1.007e-04, forward_time=0.262, loss=3.823, acc=0.195, acc_ar=0.310, acc_nar=0.080, backward_time=0.535, grad_norm=0.635, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.873e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:31:15,985 (trainer:827) INFO: 5epoch:train:3501-4000batch: iter_time=1.000e-04, forward_time=0.262, loss=3.826, acc=0.195, acc_ar=0.310, acc_nar=0.080, backward_time=0.537, grad_norm=0.634, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.862e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:38:45,515 (trainer:827) INFO: 5epoch:train:4001-4500batch: iter_time=1.037e-04, forward_time=0.262, loss=3.831, acc=0.194, acc_ar=0.309, acc_nar=0.079, backward_time=0.536, grad_norm=0.634, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.019, optim0_lr0=4.850e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:46:14,859 (trainer:827) INFO: 5epoch:train:4501-5000batch: iter_time=1.006e-04, forward_time=0.262, loss=3.829, acc=0.194, acc_ar=0.308, acc_nar=0.080, backward_time=0.535, grad_norm=0.634, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.839e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 10:53:43,966 (trainer:827) INFO: 5epoch:train:5001-5500batch: iter_time=1.050e-04, forward_time=0.262, loss=3.840, acc=0.193, acc_ar=0.306, acc_nar=0.079, backward_time=0.535, grad_norm=0.639, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=4.828e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:01:14,448 (trainer:827) INFO: 5epoch:train:5501-6000batch: iter_time=1.032e-04, forward_time=0.262, loss=3.827, acc=0.195, acc_ar=0.309, acc_nar=0.080, backward_time=0.537, grad_norm=0.637, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.817e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:08:44,199 (trainer:827) INFO: 5epoch:train:6001-6500batch: iter_time=1.054e-04, forward_time=0.262, loss=3.818, acc=0.196, acc_ar=0.311, acc_nar=0.080, backward_time=0.535, grad_norm=0.637, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.805e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:16:15,345 (trainer:827) INFO: 5epoch:train:6501-7000batch: iter_time=1.029e-04, forward_time=0.262, loss=3.824, acc=0.195, acc_ar=0.309, acc_nar=0.080, backward_time=0.536, grad_norm=0.641, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=4.794e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:23:45,476 (trainer:827) INFO: 5epoch:train:7001-7500batch: iter_time=9.993e-05, forward_time=0.262, loss=3.831, acc=0.193, acc_ar=0.306, acc_nar=0.080, backward_time=0.536, grad_norm=0.640, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.783e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:31:14,693 (trainer:827) INFO: 5epoch:train:7501-8000batch: iter_time=1.020e-04, forward_time=0.262, loss=3.826, acc=0.194, acc_ar=0.309, acc_nar=0.080, backward_time=0.536, grad_norm=0.644, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.773e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:38:44,594 (trainer:827) INFO: 5epoch:train:8001-8500batch: iter_time=1.040e-04, forward_time=0.262, loss=3.832, acc=0.193, acc_ar=0.307, acc_nar=0.080, backward_time=0.536, grad_norm=0.639, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.762e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:46:13,880 (trainer:827) INFO: 5epoch:train:8501-9000batch: iter_time=1.071e-04, forward_time=0.262, loss=3.825, acc=0.195, acc_ar=0.309, acc_nar=0.080, backward_time=0.535, grad_norm=0.644, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.751e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 11:53:42,745 (trainer:827) INFO: 5epoch:train:9001-9500batch: iter_time=1.030e-04, forward_time=0.262, loss=3.826, acc=0.194, acc_ar=0.309, acc_nar=0.080, backward_time=0.536, grad_norm=0.643, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.740e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:01:12,971 (trainer:827) INFO: 5epoch:train:9501-10000batch: iter_time=1.037e-04, forward_time=0.262, loss=3.824, acc=0.195, acc_ar=0.309, acc_nar=0.080, backward_time=0.536, grad_norm=0.643, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.730e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:08:42,817 (trainer:827) INFO: 5epoch:train:10001-10500batch: iter_time=1.068e-04, forward_time=0.262, loss=3.825, acc=0.194, acc_ar=0.309, acc_nar=0.080, backward_time=0.535, grad_norm=0.648, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.719e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:16:13,268 (trainer:827) INFO: 5epoch:train:10501-11000batch: iter_time=1.049e-04, forward_time=0.262, loss=3.825, acc=0.194, acc_ar=0.309, acc_nar=0.080, backward_time=0.536, grad_norm=0.647, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.709e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:23:43,446 (trainer:827) INFO: 5epoch:train:11001-11500batch: iter_time=1.015e-04, forward_time=0.262, loss=3.813, acc=0.195, acc_ar=0.310, acc_nar=0.081, backward_time=0.536, grad_norm=0.654, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.698e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:31:14,031 (trainer:827) INFO: 5epoch:train:11501-12000batch: iter_time=1.006e-04, forward_time=0.262, loss=3.828, acc=0.194, acc_ar=0.307, acc_nar=0.080, backward_time=0.537, grad_norm=0.647, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.688e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:38:44,114 (trainer:827) INFO: 5epoch:train:12001-12500batch: iter_time=1.091e-04, forward_time=0.262, loss=3.828, acc=0.194, acc_ar=0.308, acc_nar=0.080, backward_time=0.536, grad_norm=0.647, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.678e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:46:14,668 (trainer:827) INFO: 5epoch:train:12501-13000batch: iter_time=1.003e-04, forward_time=0.262, loss=3.820, acc=0.195, acc_ar=0.310, acc_nar=0.080, backward_time=0.535, grad_norm=0.653, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.667e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 12:53:44,592 (trainer:827) INFO: 5epoch:train:13001-13500batch: iter_time=9.929e-05, forward_time=0.262, loss=3.820, acc=0.195, acc_ar=0.310, acc_nar=0.080, backward_time=0.536, grad_norm=0.652, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.657e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:01:14,509 (trainer:827) INFO: 5epoch:train:13501-14000batch: iter_time=1.025e-04, forward_time=0.262, loss=3.830, acc=0.193, acc_ar=0.307, acc_nar=0.080, backward_time=0.536, grad_norm=0.651, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.647e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:08:46,092 (trainer:827) INFO: 5epoch:train:14001-14500batch: iter_time=1.037e-04, forward_time=0.262, loss=3.815, acc=0.195, acc_ar=0.310, acc_nar=0.081, backward_time=0.536, grad_norm=0.654, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.637e-05, train_time=0.903
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:16:15,543 (trainer:827) INFO: 5epoch:train:14501-15000batch: iter_time=1.020e-04, forward_time=0.261, loss=3.812, acc=0.196, acc_ar=0.312, acc_nar=0.081, backward_time=0.534, grad_norm=0.655, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.627e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:23:46,304 (trainer:827) INFO: 5epoch:train:15001-15500batch: iter_time=1.003e-04, forward_time=0.262, loss=3.810, acc=0.196, acc_ar=0.312, acc_nar=0.081, backward_time=0.537, grad_norm=0.652, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.617e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:31:16,626 (trainer:827) INFO: 5epoch:train:15501-16000batch: iter_time=9.776e-05, forward_time=0.262, loss=3.821, acc=0.195, acc_ar=0.309, acc_nar=0.080, backward_time=0.535, grad_norm=0.657, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.608e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:38:47,949 (trainer:827) INFO: 5epoch:train:16001-16500batch: iter_time=9.849e-05, forward_time=0.262, loss=3.816, acc=0.195, acc_ar=0.310, acc_nar=0.081, backward_time=0.536, grad_norm=0.655, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.021, optim0_lr0=4.598e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:46:17,782 (trainer:827) INFO: 5epoch:train:16501-17000batch: iter_time=1.017e-04, forward_time=0.262, loss=3.825, acc=0.194, acc_ar=0.307, acc_nar=0.081, backward_time=0.536, grad_norm=0.656, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.588e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 13:53:45,979 (trainer:827) INFO: 5epoch:train:17001-17500batch: iter_time=9.985e-05, forward_time=0.261, loss=3.818, acc=0.195, acc_ar=0.309, acc_nar=0.081, backward_time=0.535, grad_norm=0.660, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.579e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:01:15,335 (trainer:827) INFO: 5epoch:train:17501-18000batch: iter_time=1.059e-04, forward_time=0.262, loss=3.819, acc=0.195, acc_ar=0.308, acc_nar=0.081, backward_time=0.536, grad_norm=0.662, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.569e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:08:45,177 (trainer:827) INFO: 5epoch:train:18001-18500batch: iter_time=1.050e-04, forward_time=0.262, loss=3.811, acc=0.196, acc_ar=0.311, acc_nar=0.081, backward_time=0.536, grad_norm=0.658, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.559e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:16:13,708 (trainer:827) INFO: 5epoch:train:18501-19000batch: iter_time=1.017e-04, forward_time=0.261, loss=3.818, acc=0.195, acc_ar=0.309, acc_nar=0.081, backward_time=0.533, grad_norm=0.663, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.550e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:23:43,289 (trainer:827) INFO: 5epoch:train:19001-19500batch: iter_time=1.038e-04, forward_time=0.261, loss=3.810, acc=0.196, acc_ar=0.312, acc_nar=0.081, backward_time=0.535, grad_norm=0.663, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.541e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:31:13,087 (trainer:827) INFO: 5epoch:train:19501-20000batch: iter_time=1.071e-04, forward_time=0.262, loss=3.808, acc=0.196, acc_ar=0.311, acc_nar=0.081, backward_time=0.536, grad_norm=0.664, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.531e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:38:43,549 (trainer:827) INFO: 5epoch:train:20001-20500batch: iter_time=1.005e-04, forward_time=0.262, loss=3.823, acc=0.194, acc_ar=0.308, acc_nar=0.080, backward_time=0.536, grad_norm=0.665, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.522e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:46:12,957 (trainer:827) INFO: 5epoch:train:20501-21000batch: iter_time=9.770e-05, forward_time=0.261, loss=3.812, acc=0.196, acc_ar=0.311, acc_nar=0.081, backward_time=0.535, grad_norm=0.665, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.513e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 14:53:42,446 (trainer:827) INFO: 5epoch:train:21001-21500batch: iter_time=9.905e-05, forward_time=0.262, loss=3.815, acc=0.195, acc_ar=0.310, acc_nar=0.081, backward_time=0.535, grad_norm=0.667, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.504e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:01:12,670 (trainer:827) INFO: 5epoch:train:21501-22000batch: iter_time=9.946e-05, forward_time=0.262, loss=3.810, acc=0.196, acc_ar=0.310, acc_nar=0.081, backward_time=0.537, grad_norm=0.664, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.494e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:08:42,571 (trainer:827) INFO: 5epoch:train:22001-22500batch: iter_time=1.016e-04, forward_time=0.262, loss=3.822, acc=0.194, acc_ar=0.307, acc_nar=0.081, backward_time=0.536, grad_norm=0.669, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.485e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:16:11,792 (trainer:827) INFO: 5epoch:train:22501-23000batch: iter_time=1.011e-04, forward_time=0.262, loss=3.806, acc=0.196, acc_ar=0.311, acc_nar=0.081, backward_time=0.535, grad_norm=0.667, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.476e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:23:40,888 (trainer:827) INFO: 5epoch:train:23001-23500batch: iter_time=1.031e-04, forward_time=0.262, loss=3.817, acc=0.195, acc_ar=0.309, acc_nar=0.081, backward_time=0.536, grad_norm=0.670, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.468e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:31:10,919 (trainer:827) INFO: 5epoch:train:23501-24000batch: iter_time=9.983e-05, forward_time=0.262, loss=3.805, acc=0.196, acc_ar=0.311, acc_nar=0.081, backward_time=0.536, grad_norm=0.673, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.459e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:38:41,410 (trainer:827) INFO: 5epoch:train:24001-24500batch: iter_time=1.029e-04, forward_time=0.262, loss=3.811, acc=0.195, acc_ar=0.309, acc_nar=0.082, backward_time=0.536, grad_norm=0.671, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.450e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:46:10,436 (trainer:827) INFO: 5epoch:train:24501-25000batch: iter_time=9.937e-05, forward_time=0.261, loss=3.814, acc=0.195, acc_ar=0.309, acc_nar=0.081, backward_time=0.535, grad_norm=0.672, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.441e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:53:40,411 (trainer:827) INFO: 5epoch:train:25001-25500batch: iter_time=9.644e-05, forward_time=0.262, loss=3.812, acc=0.195, acc_ar=0.309, acc_nar=0.081, backward_time=0.537, grad_norm=0.673, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.432e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 15:59:57,204 (trainer:387) INFO: 5epoch results: [train] iter_time=1.151e-04, forward_time=0.262, loss=3.822, acc=0.195, acc_ar=0.309, acc_nar=0.080, backward_time=0.536, grad_norm=0.650, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.020, optim0_lr0=4.675e-05, train_time=0.903, time=6 hours, 24 minutes and 10.38 seconds, total_count=127510, gpu_max_cached_mem_GB=42.719, [valid] loss=4.050, acc=0.168, acc_ar=0.262, acc_nar=0.075, time=5 minutes and 3.3 seconds, total_count=1595, gpu_max_cached_mem_GB=42.719, [att_plot] time=58.19 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:00:03,872 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:00:03,873 (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.till5epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:00:11,678 (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.till5epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:00:12,617 (trainer:321) INFO: 6/50epoch started. Estimated time to finish: 1 week, 5 days and 4 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:09:03,802 (trainer:827) INFO: 6epoch:train:1-500batch: iter_time=6.716e-04, forward_time=0.261, loss=3.803, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.535, grad_norm=0.676, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.424e-05, train_time=1.062
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:16:34,050 (trainer:827) INFO: 6epoch:train:501-1000batch: iter_time=9.456e-05, forward_time=0.262, loss=3.807, acc=0.196, acc_ar=0.312, acc_nar=0.081, backward_time=0.536, grad_norm=0.677, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.415e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:24:03,753 (trainer:827) INFO: 6epoch:train:1001-1500batch: iter_time=1.060e-04, forward_time=0.262, loss=3.807, acc=0.196, acc_ar=0.311, acc_nar=0.081, backward_time=0.536, grad_norm=0.676, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.406e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:31:33,710 (trainer:827) INFO: 6epoch:train:1501-2000batch: iter_time=1.026e-04, forward_time=0.262, loss=3.801, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.536, grad_norm=0.680, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.398e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:39:01,426 (trainer:827) INFO: 6epoch:train:2001-2500batch: iter_time=1.088e-04, forward_time=0.261, loss=3.804, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.534, grad_norm=0.680, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=4.389e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:46:31,319 (trainer:827) INFO: 6epoch:train:2501-3000batch: iter_time=1.005e-04, forward_time=0.262, loss=3.806, acc=0.196, acc_ar=0.311, acc_nar=0.082, backward_time=0.535, grad_norm=0.680, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.381e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 16:54:00,951 (trainer:827) INFO: 6epoch:train:3001-3500batch: iter_time=1.015e-04, forward_time=0.262, loss=3.798, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.536, grad_norm=0.684, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.373e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:01:31,091 (trainer:827) INFO: 6epoch:train:3501-4000batch: iter_time=1.036e-04, forward_time=0.262, loss=3.807, acc=0.196, acc_ar=0.311, acc_nar=0.081, backward_time=0.536, grad_norm=0.682, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.364e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:09:00,972 (trainer:827) INFO: 6epoch:train:4001-4500batch: iter_time=1.006e-04, forward_time=0.262, loss=3.797, acc=0.197, acc_ar=0.311, acc_nar=0.082, backward_time=0.535, grad_norm=0.684, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.356e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:16:32,014 (trainer:827) INFO: 6epoch:train:4501-5000batch: iter_time=9.911e-05, forward_time=0.262, loss=3.806, acc=0.196, acc_ar=0.310, acc_nar=0.081, backward_time=0.538, grad_norm=0.685, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.348e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:24:02,787 (trainer:827) INFO: 6epoch:train:5001-5500batch: iter_time=1.003e-04, forward_time=0.262, loss=3.798, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.537, grad_norm=0.686, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.339e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:31:31,882 (trainer:827) INFO: 6epoch:train:5501-6000batch: iter_time=1.033e-04, forward_time=0.262, loss=3.801, acc=0.197, acc_ar=0.311, acc_nar=0.082, backward_time=0.535, grad_norm=0.690, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.331e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:39:01,580 (trainer:827) INFO: 6epoch:train:6001-6500batch: iter_time=9.840e-05, forward_time=0.262, loss=3.792, acc=0.198, acc_ar=0.315, acc_nar=0.082, backward_time=0.536, grad_norm=0.686, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.323e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:46:30,940 (trainer:827) INFO: 6epoch:train:6501-7000batch: iter_time=9.963e-05, forward_time=0.261, loss=3.796, acc=0.197, acc_ar=0.313, acc_nar=0.082, backward_time=0.535, grad_norm=0.688, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.022, optim0_lr0=4.315e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 17:53:59,161 (trainer:827) INFO: 6epoch:train:7001-7500batch: iter_time=9.895e-05, forward_time=0.261, loss=3.798, acc=0.198, acc_ar=0.313, acc_nar=0.082, backward_time=0.535, grad_norm=0.692, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.307e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:01:27,305 (trainer:827) INFO: 6epoch:train:7501-8000batch: iter_time=1.055e-04, forward_time=0.262, loss=3.792, acc=0.198, acc_ar=0.313, acc_nar=0.082, backward_time=0.535, grad_norm=0.691, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=4.299e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:08:57,517 (trainer:827) INFO: 6epoch:train:8001-8500batch: iter_time=1.004e-04, forward_time=0.262, loss=3.812, acc=0.195, acc_ar=0.308, acc_nar=0.082, backward_time=0.536, grad_norm=0.692, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.291e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:16:28,443 (trainer:827) INFO: 6epoch:train:8501-9000batch: iter_time=1.014e-04, forward_time=0.262, loss=3.796, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.538, grad_norm=0.690, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.283e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:23:57,419 (trainer:827) INFO: 6epoch:train:9001-9500batch: iter_time=1.060e-04, forward_time=0.261, loss=3.791, acc=0.198, acc_ar=0.314, acc_nar=0.082, backward_time=0.534, grad_norm=0.691, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.276e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:31:24,678 (trainer:827) INFO: 6epoch:train:9501-10000batch: iter_time=1.093e-04, forward_time=0.261, loss=3.792, acc=0.198, acc_ar=0.313, acc_nar=0.082, backward_time=0.534, grad_norm=0.697, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.268e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:38:53,635 (trainer:827) INFO: 6epoch:train:10001-10500batch: iter_time=9.945e-05, forward_time=0.261, loss=3.799, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.534, grad_norm=0.696, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.260e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:46:24,167 (trainer:827) INFO: 6epoch:train:10501-11000batch: iter_time=1.086e-04, forward_time=0.261, loss=3.789, acc=0.198, acc_ar=0.313, acc_nar=0.083, backward_time=0.535, grad_norm=0.696, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.252e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 18:53:53,824 (trainer:827) INFO: 6epoch:train:11001-11500batch: iter_time=9.895e-05, forward_time=0.261, loss=3.792, acc=0.198, acc_ar=0.313, acc_nar=0.083, backward_time=0.536, grad_norm=0.698, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.245e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:01:22,572 (trainer:827) INFO: 6epoch:train:11501-12000batch: iter_time=9.905e-05, forward_time=0.261, loss=3.792, acc=0.198, acc_ar=0.314, acc_nar=0.082, backward_time=0.534, grad_norm=0.697, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.237e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:08:51,839 (trainer:827) INFO: 6epoch:train:12001-12500batch: iter_time=1.035e-04, forward_time=0.261, loss=3.789, acc=0.198, acc_ar=0.312, acc_nar=0.083, backward_time=0.534, grad_norm=0.700, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.229e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:16:19,230 (trainer:827) INFO: 6epoch:train:12501-13000batch: iter_time=1.077e-04, forward_time=0.261, loss=3.797, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.534, grad_norm=0.704, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.222e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:23:47,815 (trainer:827) INFO: 6epoch:train:13001-13500batch: iter_time=1.084e-04, forward_time=0.261, loss=3.796, acc=0.197, acc_ar=0.311, acc_nar=0.082, backward_time=0.535, grad_norm=0.704, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.214e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:31:17,382 (trainer:827) INFO: 6epoch:train:13501-14000batch: iter_time=1.030e-04, forward_time=0.261, loss=3.801, acc=0.196, acc_ar=0.311, acc_nar=0.082, backward_time=0.535, grad_norm=0.701, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.207e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:38:45,807 (trainer:827) INFO: 6epoch:train:14001-14500batch: iter_time=1.023e-04, forward_time=0.261, loss=3.791, acc=0.198, acc_ar=0.313, acc_nar=0.083, backward_time=0.534, grad_norm=0.704, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.199e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:46:14,241 (trainer:827) INFO: 6epoch:train:14501-15000batch: iter_time=1.003e-04, forward_time=0.261, loss=3.802, acc=0.196, acc_ar=0.310, acc_nar=0.082, backward_time=0.534, grad_norm=0.705, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.192e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 19:53:42,872 (trainer:827) INFO: 6epoch:train:15001-15500batch: iter_time=9.803e-05, forward_time=0.261, loss=3.793, acc=0.197, acc_ar=0.312, acc_nar=0.083, backward_time=0.534, grad_norm=0.708, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.185e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:01:11,401 (trainer:827) INFO: 6epoch:train:15501-16000batch: iter_time=1.011e-04, forward_time=0.261, loss=3.799, acc=0.197, acc_ar=0.311, acc_nar=0.082, backward_time=0.534, grad_norm=0.706, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.177e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:08:40,039 (trainer:827) INFO: 6epoch:train:16001-16500batch: iter_time=9.841e-05, forward_time=0.261, loss=3.795, acc=0.197, acc_ar=0.311, acc_nar=0.082, backward_time=0.535, grad_norm=0.707, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.170e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:16:07,677 (trainer:827) INFO: 6epoch:train:16501-17000batch: iter_time=1.026e-04, forward_time=0.261, loss=3.791, acc=0.198, acc_ar=0.313, acc_nar=0.083, backward_time=0.534, grad_norm=0.707, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.019, optim0_lr0=4.163e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:23:38,260 (trainer:827) INFO: 6epoch:train:17001-17500batch: iter_time=1.063e-04, forward_time=0.261, loss=3.803, acc=0.196, acc_ar=0.310, acc_nar=0.082, backward_time=0.535, grad_norm=0.710, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.156e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:31:06,633 (trainer:827) INFO: 6epoch:train:17501-18000batch: iter_time=1.042e-04, forward_time=0.261, loss=3.787, acc=0.198, acc_ar=0.312, acc_nar=0.083, backward_time=0.533, grad_norm=0.712, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.149e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:38:35,562 (trainer:827) INFO: 6epoch:train:18001-18500batch: iter_time=1.050e-04, forward_time=0.261, loss=3.789, acc=0.198, acc_ar=0.313, acc_nar=0.083, backward_time=0.535, grad_norm=0.713, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.141e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:46:04,669 (trainer:827) INFO: 6epoch:train:18501-19000batch: iter_time=9.955e-05, forward_time=0.261, loss=3.790, acc=0.198, acc_ar=0.313, acc_nar=0.082, backward_time=0.535, grad_norm=0.711, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.134e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 20:53:33,993 (trainer:827) INFO: 6epoch:train:19001-19500batch: iter_time=1.026e-04, forward_time=0.261, loss=3.794, acc=0.197, acc_ar=0.311, acc_nar=0.083, backward_time=0.535, grad_norm=0.714, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.127e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:01:03,355 (trainer:827) INFO: 6epoch:train:19501-20000batch: iter_time=1.069e-04, forward_time=0.261, loss=3.787, acc=0.198, acc_ar=0.314, acc_nar=0.083, backward_time=0.535, grad_norm=0.717, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=4.120e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:08:32,356 (trainer:827) INFO: 6epoch:train:20001-20500batch: iter_time=1.022e-04, forward_time=0.261, loss=3.794, acc=0.197, acc_ar=0.311, acc_nar=0.082, backward_time=0.535, grad_norm=0.716, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.113e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:16:01,827 (trainer:827) INFO: 6epoch:train:20501-21000batch: iter_time=1.039e-04, forward_time=0.261, loss=3.794, acc=0.197, acc_ar=0.311, acc_nar=0.083, backward_time=0.535, grad_norm=0.715, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.106e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:23:31,521 (trainer:827) INFO: 6epoch:train:21001-21500batch: iter_time=1.006e-04, forward_time=0.261, loss=3.784, acc=0.198, acc_ar=0.314, acc_nar=0.083, backward_time=0.536, grad_norm=0.717, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.099e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:31:00,114 (trainer:827) INFO: 6epoch:train:21501-22000batch: iter_time=9.759e-05, forward_time=0.261, loss=3.788, acc=0.198, acc_ar=0.313, acc_nar=0.083, backward_time=0.535, grad_norm=0.721, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.093e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:38:28,275 (trainer:827) INFO: 6epoch:train:22001-22500batch: iter_time=1.008e-04, forward_time=0.261, loss=3.781, acc=0.199, acc_ar=0.315, acc_nar=0.083, backward_time=0.534, grad_norm=0.719, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.086e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:45:58,377 (trainer:827) INFO: 6epoch:train:22501-23000batch: iter_time=1.018e-04, forward_time=0.261, loss=3.781, acc=0.199, acc_ar=0.314, acc_nar=0.083, backward_time=0.535, grad_norm=0.719, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.021, optim0_lr0=4.079e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 21:53:26,956 (trainer:827) INFO: 6epoch:train:23001-23500batch: iter_time=1.041e-04, forward_time=0.261, loss=3.783, acc=0.198, acc_ar=0.314, acc_nar=0.083, backward_time=0.535, grad_norm=0.724, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=4.072e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:00:56,560 (trainer:827) INFO: 6epoch:train:23501-24000batch: iter_time=9.955e-05, forward_time=0.261, loss=3.774, acc=0.200, acc_ar=0.316, acc_nar=0.083, backward_time=0.535, grad_norm=0.726, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.065e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:08:25,385 (trainer:827) INFO: 6epoch:train:24001-24500batch: iter_time=1.042e-04, forward_time=0.261, loss=3.785, acc=0.198, acc_ar=0.314, acc_nar=0.083, backward_time=0.535, grad_norm=0.723, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.059e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:15:54,179 (trainer:827) INFO: 6epoch:train:24501-25000batch: iter_time=9.868e-05, forward_time=0.261, loss=3.781, acc=0.199, acc_ar=0.315, acc_nar=0.083, backward_time=0.534, grad_norm=0.727, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.052e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:23:23,975 (trainer:827) INFO: 6epoch:train:25001-25500batch: iter_time=9.934e-05, forward_time=0.261, loss=3.790, acc=0.197, acc_ar=0.311, acc_nar=0.083, backward_time=0.535, grad_norm=0.725, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.045e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:29:47,309 (trainer:387) INFO: 6epoch results: [train] iter_time=1.133e-04, forward_time=0.261, loss=3.794, acc=0.197, acc_ar=0.312, acc_nar=0.082, backward_time=0.535, grad_norm=0.701, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.020, optim0_lr0=4.226e-05, train_time=0.901, time=6 hours, 23 minutes and 25.87 seconds, total_count=153012, gpu_max_cached_mem_GB=42.719, [valid] loss=4.032, acc=0.170, acc_ar=0.264, acc_nar=0.076, time=5 minutes and 6.88 seconds, total_count=1914, gpu_max_cached_mem_GB=42.719, [att_plot] time=1 minute and 1.94 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:29:53,429 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:29:53,439 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/1epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:29:53,439 (trainer:321) INFO: 7/50epoch started. Estimated time to finish: 1 week, 4 days and 22 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:38:46,081 (trainer:827) INFO: 7epoch:train:1-500batch: iter_time=5.905e-04, forward_time=0.261, loss=3.777, acc=0.199, acc_ar=0.315, acc_nar=0.084, backward_time=0.535, grad_norm=0.728, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=4.039e-05, train_time=1.065
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:46:13,316 (trainer:827) INFO: 7epoch:train:501-1000batch: iter_time=9.813e-05, forward_time=0.261, loss=3.781, acc=0.198, acc_ar=0.313, acc_nar=0.084, backward_time=0.533, grad_norm=0.728, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.032e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 22:53:42,309 (trainer:827) INFO: 7epoch:train:1001-1500batch: iter_time=1.024e-04, forward_time=0.261, loss=3.774, acc=0.199, acc_ar=0.315, acc_nar=0.084, backward_time=0.533, grad_norm=0.731, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.026e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:01:10,370 (trainer:827) INFO: 7epoch:train:1501-2000batch: iter_time=1.006e-04, forward_time=0.261, loss=3.773, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.533, grad_norm=0.735, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.019e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:08:38,658 (trainer:827) INFO: 7epoch:train:2001-2500batch: iter_time=9.734e-05, forward_time=0.261, loss=3.781, acc=0.199, acc_ar=0.314, acc_nar=0.083, backward_time=0.533, grad_norm=0.733, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.013e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:16:07,252 (trainer:827) INFO: 7epoch:train:2501-3000batch: iter_time=1.030e-04, forward_time=0.261, loss=3.772, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.534, grad_norm=0.735, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=4.006e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:23:35,216 (trainer:827) INFO: 7epoch:train:3001-3500batch: iter_time=1.020e-04, forward_time=0.261, loss=3.781, acc=0.199, acc_ar=0.314, acc_nar=0.083, backward_time=0.533, grad_norm=0.735, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=4.000e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:31:04,758 (trainer:827) INFO: 7epoch:train:3501-4000batch: iter_time=1.010e-04, forward_time=0.261, loss=3.785, acc=0.198, acc_ar=0.314, acc_nar=0.082, backward_time=0.536, grad_norm=0.738, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.993e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:38:33,037 (trainer:827) INFO: 7epoch:train:4001-4500batch: iter_time=1.050e-04, forward_time=0.261, loss=3.782, acc=0.198, acc_ar=0.314, acc_nar=0.083, backward_time=0.534, grad_norm=0.738, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.987e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:46:00,762 (trainer:827) INFO: 7epoch:train:4501-5000batch: iter_time=9.873e-05, forward_time=0.261, loss=3.770, acc=0.200, acc_ar=0.317, acc_nar=0.084, backward_time=0.535, grad_norm=0.741, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.981e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-08 23:53:28,752 (trainer:827) INFO: 7epoch:train:5001-5500batch: iter_time=1.061e-04, forward_time=0.261, loss=3.781, acc=0.199, acc_ar=0.314, acc_nar=0.083, backward_time=0.535, grad_norm=0.741, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.974e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:00:55,422 (trainer:827) INFO: 7epoch:train:5501-6000batch: iter_time=1.084e-04, forward_time=0.261, loss=3.781, acc=0.198, acc_ar=0.312, acc_nar=0.084, backward_time=0.532, grad_norm=0.743, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.968e-05, train_time=0.893
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:08:23,950 (trainer:827) INFO: 7epoch:train:6001-6500batch: iter_time=1.026e-04, forward_time=0.261, loss=3.782, acc=0.198, acc_ar=0.313, acc_nar=0.084, backward_time=0.535, grad_norm=0.743, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.962e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:15:52,231 (trainer:827) INFO: 7epoch:train:6501-7000batch: iter_time=1.048e-04, forward_time=0.261, loss=3.776, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.534, grad_norm=0.742, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.956e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:23:21,236 (trainer:827) INFO: 7epoch:train:7001-7500batch: iter_time=1.040e-04, forward_time=0.261, loss=3.783, acc=0.198, acc_ar=0.313, acc_nar=0.083, backward_time=0.535, grad_norm=0.746, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.950e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:30:49,828 (trainer:827) INFO: 7epoch:train:7501-8000batch: iter_time=1.053e-04, forward_time=0.261, loss=3.773, acc=0.200, acc_ar=0.316, acc_nar=0.083, backward_time=0.533, grad_norm=0.744, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.943e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:38:19,055 (trainer:827) INFO: 7epoch:train:8001-8500batch: iter_time=1.002e-04, forward_time=0.261, loss=3.781, acc=0.198, acc_ar=0.314, acc_nar=0.083, backward_time=0.536, grad_norm=0.747, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.937e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:45:48,997 (trainer:827) INFO: 7epoch:train:8501-9000batch: iter_time=1.006e-04, forward_time=0.262, loss=3.776, acc=0.199, acc_ar=0.315, acc_nar=0.083, backward_time=0.536, grad_norm=0.744, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.931e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 00:53:18,936 (trainer:827) INFO: 7epoch:train:9001-9500batch: iter_time=1.009e-04, forward_time=0.262, loss=3.769, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.535, grad_norm=0.745, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.925e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:00:47,397 (trainer:827) INFO: 7epoch:train:9501-10000batch: iter_time=1.049e-04, forward_time=0.261, loss=3.773, acc=0.199, acc_ar=0.315, acc_nar=0.084, backward_time=0.533, grad_norm=0.750, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.919e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:08:16,503 (trainer:827) INFO: 7epoch:train:10001-10500batch: iter_time=9.842e-05, forward_time=0.261, loss=3.780, acc=0.199, acc_ar=0.313, acc_nar=0.084, backward_time=0.534, grad_norm=0.750, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.913e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:15:46,439 (trainer:827) INFO: 7epoch:train:10501-11000batch: iter_time=1.035e-04, forward_time=0.261, loss=3.770, acc=0.200, acc_ar=0.315, acc_nar=0.084, backward_time=0.534, grad_norm=0.753, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.024, optim0_lr0=3.907e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:23:15,421 (trainer:827) INFO: 7epoch:train:11001-11500batch: iter_time=1.016e-04, forward_time=0.261, loss=3.772, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.534, grad_norm=0.752, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.901e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:30:44,023 (trainer:827) INFO: 7epoch:train:11501-12000batch: iter_time=1.046e-04, forward_time=0.261, loss=3.775, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.533, grad_norm=0.752, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.895e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:38:13,067 (trainer:827) INFO: 7epoch:train:12001-12500batch: iter_time=1.006e-04, forward_time=0.261, loss=3.781, acc=0.198, acc_ar=0.313, acc_nar=0.084, backward_time=0.534, grad_norm=0.755, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.889e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:45:40,581 (trainer:827) INFO: 7epoch:train:12501-13000batch: iter_time=1.066e-04, forward_time=0.261, loss=3.770, acc=0.200, acc_ar=0.315, acc_nar=0.084, backward_time=0.533, grad_norm=0.756, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.884e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 01:53:09,239 (trainer:827) INFO: 7epoch:train:13001-13500batch: iter_time=1.039e-04, forward_time=0.261, loss=3.774, acc=0.199, acc_ar=0.315, acc_nar=0.083, backward_time=0.534, grad_norm=0.755, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.878e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:00:39,208 (trainer:827) INFO: 7epoch:train:13501-14000batch: iter_time=9.937e-05, forward_time=0.261, loss=3.768, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.535, grad_norm=0.756, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.872e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:08:07,683 (trainer:827) INFO: 7epoch:train:14001-14500batch: iter_time=1.007e-04, forward_time=0.261, loss=3.771, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.534, grad_norm=0.760, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.866e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:15:36,186 (trainer:827) INFO: 7epoch:train:14501-15000batch: iter_time=1.040e-04, forward_time=0.261, loss=3.766, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.534, grad_norm=0.763, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.860e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:23:05,164 (trainer:827) INFO: 7epoch:train:15001-15500batch: iter_time=9.976e-05, forward_time=0.261, loss=3.774, acc=0.199, acc_ar=0.315, acc_nar=0.084, backward_time=0.534, grad_norm=0.760, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.855e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:30:34,987 (trainer:827) INFO: 7epoch:train:15501-16000batch: iter_time=1.006e-04, forward_time=0.261, loss=3.775, acc=0.199, acc_ar=0.315, acc_nar=0.083, backward_time=0.535, grad_norm=0.759, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.849e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:38:05,121 (trainer:827) INFO: 7epoch:train:16001-16500batch: iter_time=9.974e-05, forward_time=0.262, loss=3.775, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.536, grad_norm=0.763, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.843e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:45:34,611 (trainer:827) INFO: 7epoch:train:16501-17000batch: iter_time=9.842e-05, forward_time=0.261, loss=3.766, acc=0.201, acc_ar=0.317, acc_nar=0.084, backward_time=0.534, grad_norm=0.766, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.837e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 02:53:04,428 (trainer:827) INFO: 7epoch:train:17001-17500batch: iter_time=1.049e-04, forward_time=0.261, loss=3.767, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.536, grad_norm=0.761, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.832e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:00:32,333 (trainer:827) INFO: 7epoch:train:17501-18000batch: iter_time=1.003e-04, forward_time=0.261, loss=3.775, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.534, grad_norm=0.768, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.826e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:08:01,238 (trainer:827) INFO: 7epoch:train:18001-18500batch: iter_time=9.699e-05, forward_time=0.261, loss=3.770, acc=0.200, acc_ar=0.315, acc_nar=0.084, backward_time=0.534, grad_norm=0.767, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.821e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:15:31,370 (trainer:827) INFO: 7epoch:train:18501-19000batch: iter_time=1.001e-04, forward_time=0.262, loss=3.775, acc=0.198, acc_ar=0.312, acc_nar=0.085, backward_time=0.537, grad_norm=0.768, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.815e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:23:00,604 (trainer:827) INFO: 7epoch:train:19001-19500batch: iter_time=1.045e-04, forward_time=0.261, loss=3.774, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.534, grad_norm=0.771, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.810e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:30:30,156 (trainer:827) INFO: 7epoch:train:19501-20000batch: iter_time=1.019e-04, forward_time=0.261, loss=3.774, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.535, grad_norm=0.769, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.804e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:37:59,726 (trainer:827) INFO: 7epoch:train:20001-20500batch: iter_time=1.022e-04, forward_time=0.261, loss=3.779, acc=0.198, acc_ar=0.313, acc_nar=0.084, backward_time=0.535, grad_norm=0.772, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.799e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:45:29,226 (trainer:827) INFO: 7epoch:train:20501-21000batch: iter_time=9.503e-05, forward_time=0.261, loss=3.764, acc=0.201, acc_ar=0.317, acc_nar=0.084, backward_time=0.536, grad_norm=0.772, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.793e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 03:52:57,106 (trainer:827) INFO: 7epoch:train:21001-21500batch: iter_time=9.712e-05, forward_time=0.261, loss=3.758, acc=0.201, acc_ar=0.318, acc_nar=0.085, backward_time=0.533, grad_norm=0.775, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.788e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:00:26,106 (trainer:827) INFO: 7epoch:train:21501-22000batch: iter_time=1.036e-04, forward_time=0.261, loss=3.781, acc=0.198, acc_ar=0.312, acc_nar=0.084, backward_time=0.534, grad_norm=0.773, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.782e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:07:54,812 (trainer:827) INFO: 7epoch:train:22001-22500batch: iter_time=1.044e-04, forward_time=0.261, loss=3.760, acc=0.201, acc_ar=0.318, acc_nar=0.085, backward_time=0.534, grad_norm=0.776, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.777e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:15:24,011 (trainer:827) INFO: 7epoch:train:22501-23000batch: iter_time=1.059e-04, forward_time=0.261, loss=3.763, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.775, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.771e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:22:53,023 (trainer:827) INFO: 7epoch:train:23001-23500batch: iter_time=1.009e-04, forward_time=0.261, loss=3.771, acc=0.199, acc_ar=0.315, acc_nar=0.084, backward_time=0.534, grad_norm=0.781, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.766e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:30:23,545 (trainer:827) INFO: 7epoch:train:23501-24000batch: iter_time=1.062e-04, forward_time=0.262, loss=3.764, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.537, grad_norm=0.777, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.761e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:37:53,414 (trainer:827) INFO: 7epoch:train:24001-24500batch: iter_time=1.027e-04, forward_time=0.261, loss=3.778, acc=0.198, acc_ar=0.313, acc_nar=0.084, backward_time=0.536, grad_norm=0.778, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.755e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:45:23,190 (trainer:827) INFO: 7epoch:train:24501-25000batch: iter_time=1.042e-04, forward_time=0.261, loss=3.771, acc=0.199, acc_ar=0.314, acc_nar=0.084, backward_time=0.535, grad_norm=0.778, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.750e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:52:52,887 (trainer:827) INFO: 7epoch:train:25001-25500batch: iter_time=9.975e-05, forward_time=0.261, loss=3.767, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.534, grad_norm=0.782, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.745e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:59:20,867 (trainer:387) INFO: 7epoch results: [train] iter_time=1.116e-04, forward_time=0.261, loss=3.774, acc=0.199, acc_ar=0.315, acc_nar=0.084, backward_time=0.534, grad_norm=0.756, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.020, optim0_lr0=3.886e-05, train_time=0.901, time=6 hours, 23 minutes and 17.63 seconds, total_count=178514, gpu_max_cached_mem_GB=42.719, [valid] loss=4.022, acc=0.170, acc_ar=0.264, acc_nar=0.077, time=5 minutes and 5.89 seconds, total_count=2233, gpu_max_cached_mem_GB=42.719, [att_plot] time=1 minute and 3.9 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:59:27,479 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:59:27,491 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/2epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 04:59:27,491 (trainer:321) INFO: 8/50epoch started. Estimated time to finish: 1 week, 4 days and 15 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 05:08:17,493 (trainer:827) INFO: 8epoch:train:1-500batch: iter_time=6.077e-04, forward_time=0.261, loss=3.755, acc=0.202, acc_ar=0.319, acc_nar=0.085, backward_time=0.534, grad_norm=0.788, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.740e-05, train_time=1.060
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 05:15:46,592 (trainer:827) INFO: 8epoch:train:501-1000batch: iter_time=1.035e-04, forward_time=0.261, loss=3.757, acc=0.201, acc_ar=0.318, acc_nar=0.085, backward_time=0.535, grad_norm=0.785, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.734e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 05:23:17,063 (trainer:827) INFO: 8epoch:train:1001-1500batch: iter_time=1.007e-04, forward_time=0.261, loss=3.766, acc=0.200, acc_ar=0.315, acc_nar=0.084, backward_time=0.537, grad_norm=0.785, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.729e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 05:30:45,975 (trainer:827) INFO: 8epoch:train:1501-2000batch: iter_time=1.007e-04, forward_time=0.261, loss=3.758, acc=0.202, acc_ar=0.319, acc_nar=0.084, backward_time=0.534, grad_norm=0.792, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.724e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 05:38:15,411 (trainer:827) INFO: 8epoch:train:2001-2500batch: iter_time=1.070e-04, forward_time=0.261, loss=3.755, acc=0.201, acc_ar=0.318, acc_nar=0.085, backward_time=0.535, grad_norm=0.790, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.719e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 05:45:44,057 (trainer:827) INFO: 8epoch:train:2501-3000batch: iter_time=1.079e-04, forward_time=0.261, loss=3.762, acc=0.200, acc_ar=0.317, acc_nar=0.084, backward_time=0.534, grad_norm=0.791, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.714e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 05:53:14,082 (trainer:827) INFO: 8epoch:train:3001-3500batch: iter_time=1.000e-04, forward_time=0.262, loss=3.761, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.535, grad_norm=0.790, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.709e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:00:43,914 (trainer:827) INFO: 8epoch:train:3501-4000batch: iter_time=1.046e-04, forward_time=0.261, loss=3.758, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.534, grad_norm=0.792, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.704e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:08:14,399 (trainer:827) INFO: 8epoch:train:4001-4500batch: iter_time=1.043e-04, forward_time=0.261, loss=3.763, acc=0.201, acc_ar=0.317, acc_nar=0.084, backward_time=0.535, grad_norm=0.794, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.698e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:15:44,641 (trainer:827) INFO: 8epoch:train:4501-5000batch: iter_time=1.030e-04, forward_time=0.261, loss=3.769, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.535, grad_norm=0.796, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.693e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:23:14,377 (trainer:827) INFO: 8epoch:train:5001-5500batch: iter_time=0.001, forward_time=0.261, loss=3.764, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.534, grad_norm=0.798, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.688e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:30:43,498 (trainer:827) INFO: 8epoch:train:5501-6000batch: iter_time=1.010e-04, forward_time=0.261, loss=3.761, acc=0.200, acc_ar=0.317, acc_nar=0.084, backward_time=0.535, grad_norm=0.796, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.683e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:38:17,388 (trainer:827) INFO: 8epoch:train:6001-6500batch: iter_time=1.020e-04, forward_time=0.261, loss=3.764, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.536, grad_norm=0.796, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.678e-05, train_time=0.908
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:45:46,885 (trainer:827) INFO: 8epoch:train:6501-7000batch: iter_time=1.035e-04, forward_time=0.261, loss=3.761, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.534, grad_norm=0.799, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.673e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 06:53:14,064 (trainer:827) INFO: 8epoch:train:7001-7500batch: iter_time=1.015e-04, forward_time=0.261, loss=3.764, acc=0.200, acc_ar=0.317, acc_nar=0.084, backward_time=0.533, grad_norm=0.804, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.668e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:00:43,252 (trainer:827) INFO: 8epoch:train:7501-8000batch: iter_time=1.017e-04, forward_time=0.261, loss=3.767, acc=0.199, acc_ar=0.315, acc_nar=0.084, backward_time=0.535, grad_norm=0.805, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.664e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:08:12,625 (trainer:827) INFO: 8epoch:train:8001-8500batch: iter_time=1.047e-04, forward_time=0.261, loss=3.759, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.535, grad_norm=0.802, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.659e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:15:41,150 (trainer:827) INFO: 8epoch:train:8501-9000batch: iter_time=1.022e-04, forward_time=0.261, loss=3.760, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.534, grad_norm=0.805, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.654e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:23:11,249 (trainer:827) INFO: 8epoch:train:9001-9500batch: iter_time=9.977e-05, forward_time=0.261, loss=3.761, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.806, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.649e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:30:39,987 (trainer:827) INFO: 8epoch:train:9501-10000batch: iter_time=1.013e-04, forward_time=0.261, loss=3.758, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.534, grad_norm=0.808, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.644e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:38:11,204 (trainer:827) INFO: 8epoch:train:10001-10500batch: iter_time=1.058e-04, forward_time=0.261, loss=3.765, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.537, grad_norm=0.805, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.639e-05, train_time=0.902
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:45:40,725 (trainer:827) INFO: 8epoch:train:10501-11000batch: iter_time=9.906e-05, forward_time=0.261, loss=3.763, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.535, grad_norm=0.808, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.634e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 07:53:10,563 (trainer:827) INFO: 8epoch:train:11001-11500batch: iter_time=9.866e-05, forward_time=0.261, loss=3.761, acc=0.200, acc_ar=0.316, acc_nar=0.084, backward_time=0.534, grad_norm=0.809, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.630e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:00:39,873 (trainer:827) INFO: 8epoch:train:11501-12000batch: iter_time=1.063e-04, forward_time=0.261, loss=3.760, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.810, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.625e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:08:08,354 (trainer:827) INFO: 8epoch:train:12001-12500batch: iter_time=1.083e-04, forward_time=0.261, loss=3.756, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.534, grad_norm=0.813, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.620e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:15:37,332 (trainer:827) INFO: 8epoch:train:12501-13000batch: iter_time=1.041e-04, forward_time=0.261, loss=3.758, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.810, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.615e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:23:07,816 (trainer:827) INFO: 8epoch:train:13001-13500batch: iter_time=1.008e-04, forward_time=0.261, loss=3.760, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.813, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.611e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:30:38,291 (trainer:827) INFO: 8epoch:train:13501-14000batch: iter_time=9.920e-05, forward_time=0.261, loss=3.755, acc=0.201, acc_ar=0.318, acc_nar=0.085, backward_time=0.534, grad_norm=0.812, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.023, optim0_lr0=3.606e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:38:08,628 (trainer:827) INFO: 8epoch:train:14001-14500batch: iter_time=1.010e-04, forward_time=0.261, loss=3.760, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.534, grad_norm=0.815, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.023, optim0_lr0=3.601e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:45:37,644 (trainer:827) INFO: 8epoch:train:14501-15000batch: iter_time=1.007e-04, forward_time=0.261, loss=3.753, acc=0.201, acc_ar=0.317, acc_nar=0.086, backward_time=0.534, grad_norm=0.816, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.597e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 08:53:07,541 (trainer:827) INFO: 8epoch:train:15001-15500batch: iter_time=1.030e-04, forward_time=0.261, loss=3.754, acc=0.201, acc_ar=0.318, acc_nar=0.085, backward_time=0.534, grad_norm=0.817, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.592e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:00:36,676 (trainer:827) INFO: 8epoch:train:15501-16000batch: iter_time=9.876e-05, forward_time=0.261, loss=3.755, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.533, grad_norm=0.822, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.587e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:08:07,013 (trainer:827) INFO: 8epoch:train:16001-16500batch: iter_time=1.065e-04, forward_time=0.261, loss=3.752, acc=0.202, acc_ar=0.318, acc_nar=0.085, backward_time=0.534, grad_norm=0.821, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.583e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:15:37,212 (trainer:827) INFO: 8epoch:train:16501-17000batch: iter_time=1.019e-04, forward_time=0.261, loss=3.749, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.824, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.022, optim0_lr0=3.578e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:23:06,317 (trainer:827) INFO: 8epoch:train:17001-17500batch: iter_time=1.022e-04, forward_time=0.261, loss=3.760, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.534, grad_norm=0.825, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.574e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:30:35,542 (trainer:827) INFO: 8epoch:train:17501-18000batch: iter_time=1.055e-04, forward_time=0.261, loss=3.758, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.535, grad_norm=0.827, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.569e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:38:04,572 (trainer:827) INFO: 8epoch:train:18001-18500batch: iter_time=9.892e-05, forward_time=0.261, loss=3.760, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.824, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.564e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:45:34,954 (trainer:827) INFO: 8epoch:train:18501-19000batch: iter_time=1.044e-04, forward_time=0.261, loss=3.761, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.536, grad_norm=0.823, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.022, optim0_lr0=3.560e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 09:53:04,055 (trainer:827) INFO: 8epoch:train:19001-19500batch: iter_time=1.058e-04, forward_time=0.261, loss=3.757, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.533, grad_norm=0.826, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.555e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:00:33,247 (trainer:827) INFO: 8epoch:train:19501-20000batch: iter_time=1.043e-04, forward_time=0.261, loss=3.757, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.535, grad_norm=0.824, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.018, optim0_lr0=3.551e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:08:00,574 (trainer:827) INFO: 8epoch:train:20001-20500batch: iter_time=1.089e-04, forward_time=0.261, loss=3.760, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.533, grad_norm=0.827, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.018, optim0_lr0=3.546e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:15:30,222 (trainer:827) INFO: 8epoch:train:20501-21000batch: iter_time=9.909e-05, forward_time=0.261, loss=3.760, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.533, grad_norm=0.830, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.023, optim0_lr0=3.542e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:22:59,711 (trainer:827) INFO: 8epoch:train:21001-21500batch: iter_time=9.739e-05, forward_time=0.261, loss=3.749, acc=0.201, acc_ar=0.317, acc_nar=0.086, backward_time=0.534, grad_norm=0.829, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.538e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:30:29,033 (trainer:827) INFO: 8epoch:train:21501-22000batch: iter_time=9.657e-05, forward_time=0.261, loss=3.743, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.534, grad_norm=0.832, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.022, optim0_lr0=3.533e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:37:57,001 (trainer:827) INFO: 8epoch:train:22001-22500batch: iter_time=9.522e-05, forward_time=0.261, loss=3.761, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.533, grad_norm=0.834, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.529e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:45:25,519 (trainer:827) INFO: 8epoch:train:22501-23000batch: iter_time=1.015e-04, forward_time=0.261, loss=3.755, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.535, grad_norm=0.835, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.524e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 10:52:53,754 (trainer:827) INFO: 8epoch:train:23001-23500batch: iter_time=1.051e-04, forward_time=0.261, loss=3.756, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.834, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.018, optim0_lr0=3.520e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:00:21,348 (trainer:827) INFO: 8epoch:train:23501-24000batch: iter_time=1.012e-04, forward_time=0.261, loss=3.755, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.534, grad_norm=0.841, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.019, optim0_lr0=3.516e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:07:50,517 (trainer:827) INFO: 8epoch:train:24001-24500batch: iter_time=9.612e-05, forward_time=0.261, loss=3.747, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.837, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.511e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:15:18,883 (trainer:827) INFO: 8epoch:train:24501-25000batch: iter_time=9.754e-05, forward_time=0.261, loss=3.754, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.533, grad_norm=0.840, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.507e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:22:47,375 (trainer:827) INFO: 8epoch:train:25001-25500batch: iter_time=9.756e-05, forward_time=0.261, loss=3.762, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.534, grad_norm=0.841, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.503e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:29:19,408 (trainer:387) INFO: 8epoch results: [train] iter_time=1.319e-04, forward_time=0.261, loss=3.758, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.534, grad_norm=0.813, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.617e-05, train_time=0.902, time=6 hours, 23 minutes and 43.64 seconds, total_count=204016, gpu_max_cached_mem_GB=42.719, [valid] loss=4.010, acc=0.172, acc_ar=0.265, acc_nar=0.078, time=5 minutes and 9.47 seconds, total_count=2552, gpu_max_cached_mem_GB=42.719, [att_plot] time=58.8 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:29:25,460 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:29:25,475 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/3epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:29:25,475 (trainer:321) INFO: 9/50epoch started. Estimated time to finish: 1 week, 4 days and 9 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:38:18,402 (trainer:827) INFO: 9epoch:train:1-500batch: iter_time=6.727e-04, forward_time=0.261, loss=3.750, acc=0.202, acc_ar=0.318, acc_nar=0.085, backward_time=0.534, grad_norm=0.842, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.498e-05, train_time=1.066
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:45:47,655 (trainer:827) INFO: 9epoch:train:501-1000batch: iter_time=1.031e-04, forward_time=0.261, loss=3.750, acc=0.202, acc_ar=0.319, acc_nar=0.085, backward_time=0.535, grad_norm=0.846, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.494e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 11:53:15,949 (trainer:827) INFO: 9epoch:train:1001-1500batch: iter_time=9.734e-05, forward_time=0.261, loss=3.745, acc=0.203, acc_ar=0.321, acc_nar=0.085, backward_time=0.534, grad_norm=0.845, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.490e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:00:45,282 (trainer:827) INFO: 9epoch:train:1501-2000batch: iter_time=1.017e-04, forward_time=0.261, loss=3.747, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.535, grad_norm=0.849, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.486e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:08:15,178 (trainer:827) INFO: 9epoch:train:2001-2500batch: iter_time=9.962e-05, forward_time=0.261, loss=3.744, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.536, grad_norm=0.849, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.481e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:15:43,454 (trainer:827) INFO: 9epoch:train:2501-3000batch: iter_time=9.913e-05, forward_time=0.261, loss=3.745, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.849, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.477e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:23:13,097 (trainer:827) INFO: 9epoch:train:3001-3500batch: iter_time=9.793e-05, forward_time=0.261, loss=3.752, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.534, grad_norm=0.851, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.473e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:30:41,821 (trainer:827) INFO: 9epoch:train:3501-4000batch: iter_time=1.012e-04, forward_time=0.261, loss=3.748, acc=0.202, acc_ar=0.319, acc_nar=0.085, backward_time=0.534, grad_norm=0.853, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.469e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:38:10,337 (trainer:827) INFO: 9epoch:train:4001-4500batch: iter_time=9.955e-05, forward_time=0.261, loss=3.758, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.534, grad_norm=0.854, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.465e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:45:39,484 (trainer:827) INFO: 9epoch:train:4501-5000batch: iter_time=1.023e-04, forward_time=0.261, loss=3.747, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.535, grad_norm=0.855, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.460e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 12:53:08,373 (trainer:827) INFO: 9epoch:train:5001-5500batch: iter_time=1.033e-04, forward_time=0.261, loss=3.743, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.535, grad_norm=0.853, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.456e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:00:38,125 (trainer:827) INFO: 9epoch:train:5501-6000batch: iter_time=1.011e-04, forward_time=0.261, loss=3.753, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.535, grad_norm=0.855, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.452e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:08:07,548 (trainer:827) INFO: 9epoch:train:6001-6500batch: iter_time=9.763e-05, forward_time=0.261, loss=3.758, acc=0.200, acc_ar=0.316, acc_nar=0.085, backward_time=0.535, grad_norm=0.857, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.448e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:15:36,365 (trainer:827) INFO: 9epoch:train:6501-7000batch: iter_time=1.065e-04, forward_time=0.261, loss=3.756, acc=0.201, acc_ar=0.316, acc_nar=0.085, backward_time=0.533, grad_norm=0.861, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.444e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:23:05,062 (trainer:827) INFO: 9epoch:train:7001-7500batch: iter_time=1.019e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.535, grad_norm=0.859, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.440e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:30:34,247 (trainer:827) INFO: 9epoch:train:7501-8000batch: iter_time=1.004e-04, forward_time=0.261, loss=3.753, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.534, grad_norm=0.859, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.436e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:38:03,968 (trainer:827) INFO: 9epoch:train:8001-8500batch: iter_time=1.023e-04, forward_time=0.261, loss=3.754, acc=0.201, acc_ar=0.316, acc_nar=0.086, backward_time=0.535, grad_norm=0.859, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.432e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:45:33,124 (trainer:827) INFO: 9epoch:train:8501-9000batch: iter_time=1.090e-04, forward_time=0.261, loss=3.733, acc=0.204, acc_ar=0.322, acc_nar=0.086, backward_time=0.535, grad_norm=0.862, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.428e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 13:53:01,954 (trainer:827) INFO: 9epoch:train:9001-9500batch: iter_time=1.025e-04, forward_time=0.261, loss=3.741, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.535, grad_norm=0.861, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.424e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:00:31,116 (trainer:827) INFO: 9epoch:train:9501-10000batch: iter_time=1.028e-04, forward_time=0.261, loss=3.752, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.536, grad_norm=0.864, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.420e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:07:58,736 (trainer:827) INFO: 9epoch:train:10001-10500batch: iter_time=1.055e-04, forward_time=0.261, loss=3.742, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.868, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.416e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:15:29,432 (trainer:827) INFO: 9epoch:train:10501-11000batch: iter_time=1.047e-04, forward_time=0.262, loss=3.740, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.535, grad_norm=0.868, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.412e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:22:57,123 (trainer:827) INFO: 9epoch:train:11001-11500batch: iter_time=1.049e-04, forward_time=0.261, loss=3.746, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.869, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.408e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:30:26,572 (trainer:827) INFO: 9epoch:train:11501-12000batch: iter_time=1.027e-04, forward_time=0.262, loss=3.744, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.536, grad_norm=0.869, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.404e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:37:54,763 (trainer:827) INFO: 9epoch:train:12001-12500batch: iter_time=9.931e-05, forward_time=0.261, loss=3.742, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.872, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.400e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:45:24,137 (trainer:827) INFO: 9epoch:train:12501-13000batch: iter_time=9.853e-05, forward_time=0.261, loss=3.743, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.872, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.396e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 14:52:52,648 (trainer:827) INFO: 9epoch:train:13001-13500batch: iter_time=1.002e-04, forward_time=0.261, loss=3.750, acc=0.201, acc_ar=0.317, acc_nar=0.086, backward_time=0.534, grad_norm=0.873, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.392e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:00:21,888 (trainer:827) INFO: 9epoch:train:13501-14000batch: iter_time=1.024e-04, forward_time=0.261, loss=3.758, acc=0.200, acc_ar=0.315, acc_nar=0.085, backward_time=0.534, grad_norm=0.876, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.388e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:07:50,793 (trainer:827) INFO: 9epoch:train:14001-14500batch: iter_time=1.050e-04, forward_time=0.261, loss=3.742, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.534, grad_norm=0.878, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.384e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:15:18,831 (trainer:827) INFO: 9epoch:train:14501-15000batch: iter_time=1.003e-04, forward_time=0.261, loss=3.746, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.879, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.380e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:22:49,114 (trainer:827) INFO: 9epoch:train:15001-15500batch: iter_time=9.561e-05, forward_time=0.261, loss=3.744, acc=0.202, acc_ar=0.319, acc_nar=0.085, backward_time=0.536, grad_norm=0.876, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.377e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:30:17,780 (trainer:827) INFO: 9epoch:train:15501-16000batch: iter_time=9.979e-05, forward_time=0.261, loss=3.738, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.534, grad_norm=0.878, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.373e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:37:46,529 (trainer:827) INFO: 9epoch:train:16001-16500batch: iter_time=9.771e-05, forward_time=0.261, loss=3.748, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.880, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.369e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:45:14,823 (trainer:827) INFO: 9epoch:train:16501-17000batch: iter_time=9.823e-05, forward_time=0.261, loss=3.744, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.879, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.365e-05, train_time=0.896
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 15:52:43,678 (trainer:827) INFO: 9epoch:train:17001-17500batch: iter_time=9.969e-05, forward_time=0.261, loss=3.749, acc=0.201, acc_ar=0.317, acc_nar=0.085, backward_time=0.536, grad_norm=0.886, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.361e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:00:13,373 (trainer:827) INFO: 9epoch:train:17501-18000batch: iter_time=1.014e-04, forward_time=0.261, loss=3.750, acc=0.201, acc_ar=0.317, acc_nar=0.086, backward_time=0.535, grad_norm=0.885, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.358e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:07:41,982 (trainer:827) INFO: 9epoch:train:18001-18500batch: iter_time=1.043e-04, forward_time=0.261, loss=3.743, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.884, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.354e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:15:10,768 (trainer:827) INFO: 9epoch:train:18501-19000batch: iter_time=1.016e-04, forward_time=0.261, loss=3.740, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.886, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.350e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:22:39,177 (trainer:827) INFO: 9epoch:train:19001-19500batch: iter_time=1.029e-04, forward_time=0.261, loss=3.750, acc=0.201, acc_ar=0.317, acc_nar=0.086, backward_time=0.534, grad_norm=0.891, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.346e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:30:08,415 (trainer:827) INFO: 9epoch:train:19501-20000batch: iter_time=1.038e-04, forward_time=0.261, loss=3.740, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.535, grad_norm=0.885, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.343e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:37:37,315 (trainer:827) INFO: 9epoch:train:20001-20500batch: iter_time=9.745e-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=0.891, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.339e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:45:06,138 (trainer:827) INFO: 9epoch:train:20501-21000batch: iter_time=9.913e-05, forward_time=0.261, loss=3.743, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.893, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.335e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 16:52:33,154 (trainer:827) INFO: 9epoch:train:21001-21500batch: iter_time=9.946e-05, forward_time=0.261, loss=3.745, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.533, grad_norm=0.893, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.331e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:00:01,554 (trainer:827) INFO: 9epoch:train:21501-22000batch: iter_time=1.045e-04, forward_time=0.261, loss=3.744, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.895, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.328e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:07:29,975 (trainer:827) INFO: 9epoch:train:22001-22500batch: iter_time=9.939e-05, forward_time=0.261, loss=3.742, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.895, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.324e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:14:59,140 (trainer:827) INFO: 9epoch:train:22501-23000batch: iter_time=1.033e-04, forward_time=0.261, loss=3.751, acc=0.201, acc_ar=0.316, acc_nar=0.086, backward_time=0.536, grad_norm=0.897, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.320e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:22:27,554 (trainer:827) INFO: 9epoch:train:23001-23500batch: iter_time=1.005e-04, forward_time=0.261, loss=3.743, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.894, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.317e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:29:55,079 (trainer:827) INFO: 9epoch:train:23501-24000batch: iter_time=1.039e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.532, grad_norm=0.902, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.313e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:37:22,839 (trainer:827) INFO: 9epoch:train:24001-24500batch: iter_time=1.047e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.533, grad_norm=0.900, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.309e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:44:51,965 (trainer:827) INFO: 9epoch:train:24501-25000batch: iter_time=1.052e-04, forward_time=0.261, loss=3.749, acc=0.202, acc_ar=0.317, acc_nar=0.086, backward_time=0.534, grad_norm=0.902, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.306e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:52:19,776 (trainer:827) INFO: 9epoch:train:25001-25500batch: iter_time=1.036e-04, forward_time=0.261, loss=3.740, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.900, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.302e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:58:51,025 (trainer:387) INFO: 9epoch results: [train] iter_time=1.128e-04, forward_time=0.261, loss=3.746, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.873, clip=0.000e+00, loss_scale=1.001e+10, optim_step_time=0.020, optim0_lr0=3.398e-05, train_time=0.901, time=6 hours, 23 minutes and 11.74 seconds, total_count=229518, gpu_max_cached_mem_GB=42.719, [valid] loss=4.001, acc=0.172, acc_ar=0.266, acc_nar=0.078, time=5 minutes and 6.54 seconds, total_count=2871, gpu_max_cached_mem_GB=42.719, [att_plot] time=1 minute and 7.27 seconds, total_count=0, gpu_max_cached_mem_GB=42.719
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:58:57,100 (trainer:466) INFO: The best model has been updated: valid.acc, valid.total_count
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:58:57,116 (trainer:520) INFO: The model files were removed: exp_ar_tts/speechlm_tts_mls_all_train_valle_espnet_mls-multi_encodec_16k/4epoch.pth
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 17:58:57,117 (trainer:321) INFO: 10/50epoch started. Estimated time to finish: 1 week, 4 days and 2 hours
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 18:07:48,410 (trainer:827) INFO: 10epoch:train:1-500batch: iter_time=8.358e-04, forward_time=0.261, loss=3.732, acc=0.204, acc_ar=0.321, acc_nar=0.086, backward_time=0.534, grad_norm=0.903, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.299e-05, train_time=1.062
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 18:15:17,499 (trainer:827) INFO: 10epoch:train:501-1000batch: iter_time=1.002e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.321, acc_nar=0.086, backward_time=0.534, grad_norm=0.905, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.295e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 18:22:47,438 (trainer:827) INFO: 10epoch:train:1001-1500batch: iter_time=1.014e-04, forward_time=0.262, loss=3.738, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.536, grad_norm=0.907, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.291e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 18:30:16,390 (trainer:827) INFO: 10epoch:train:1501-2000batch: iter_time=9.880e-05, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.321, acc_nar=0.086, backward_time=0.535, grad_norm=0.907, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.288e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 18:37:43,506 (trainer:827) INFO: 10epoch:train:2001-2500batch: iter_time=1.089e-04, forward_time=0.261, loss=3.729, acc=0.204, acc_ar=0.322, acc_nar=0.086, backward_time=0.535, grad_norm=0.909, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.284e-05, train_time=0.894
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 18:45:12,316 (trainer:827) INFO: 10epoch:train:2501-3000batch: iter_time=1.057e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.912, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.281e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 18:52:40,848 (trainer:827) INFO: 10epoch:train:3001-3500batch: iter_time=1.073e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.535, grad_norm=0.912, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.019, optim0_lr0=3.277e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:00:09,724 (trainer:827) INFO: 10epoch:train:3501-4000batch: iter_time=1.007e-04, forward_time=0.261, loss=3.746, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.914, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.274e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:07:38,366 (trainer:827) INFO: 10epoch:train:4001-4500batch: iter_time=1.026e-04, forward_time=0.261, loss=3.729, acc=0.204, acc_ar=0.322, acc_nar=0.087, backward_time=0.534, grad_norm=0.911, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.270e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:15:07,882 (trainer:827) INFO: 10epoch:train:4501-5000batch: iter_time=9.718e-05, forward_time=0.261, loss=3.744, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.535, grad_norm=0.915, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.267e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:22:36,531 (trainer:827) INFO: 10epoch:train:5001-5500batch: iter_time=1.032e-04, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.534, grad_norm=0.917, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.263e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:30:05,247 (trainer:827) INFO: 10epoch:train:5501-6000batch: iter_time=1.016e-04, forward_time=0.261, loss=3.736, acc=0.203, acc_ar=0.320, acc_nar=0.086, backward_time=0.534, grad_norm=0.920, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.260e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:37:34,095 (trainer:827) INFO: 10epoch:train:6001-6500batch: iter_time=1.000e-04, 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=0.020, optim0_lr0=3.256e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:45:03,773 (trainer:827) INFO: 10epoch:train:6501-7000batch: iter_time=9.839e-05, forward_time=0.261, loss=3.741, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.534, grad_norm=0.919, clip=0.000e+00, loss_scale=1.002e+10, optim_step_time=0.020, optim0_lr0=3.253e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 19:52:33,593 (trainer:827) INFO: 10epoch:train:7001-7500batch: iter_time=1.027e-04, forward_time=0.261, loss=3.745, acc=0.202, acc_ar=0.318, acc_nar=0.086, backward_time=0.536, grad_norm=0.921, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.249e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:00:02,358 (trainer:827) INFO: 10epoch:train:7501-8000batch: iter_time=1.007e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.926, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.246e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:07:30,181 (trainer:827) INFO: 10epoch:train:8001-8500batch: iter_time=9.787e-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=0.020, optim0_lr0=3.243e-05, train_time=0.895
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:15:00,477 (trainer:827) INFO: 10epoch:train:8501-9000batch: iter_time=9.706e-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=0.020, optim0_lr0=3.239e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:22:31,294 (trainer:827) INFO: 10epoch:train:9001-9500batch: iter_time=1.019e-04, forward_time=0.261, loss=3.734, acc=0.203, acc_ar=0.319, acc_nar=0.087, backward_time=0.536, grad_norm=0.927, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.023, optim0_lr0=3.236e-05, train_time=0.901
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:30:00,260 (trainer:827) INFO: 10epoch:train:9501-10000batch: iter_time=9.709e-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=0.020, optim0_lr0=3.232e-05, train_time=0.898
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:37:30,070 (trainer:827) INFO: 10epoch:train:10001-10500batch: iter_time=9.872e-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=0.931, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.229e-05, train_time=0.899
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:44:58,504 (trainer:827) INFO: 10epoch:train:10501-11000batch: iter_time=1.104e-04, 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=0.019, optim0_lr0=3.226e-05, train_time=0.897
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 20:52:28,441 (trainer:827) INFO: 10epoch:train:11001-11500batch: iter_time=1.023e-04, forward_time=0.261, loss=3.737, acc=0.203, acc_ar=0.318, acc_nar=0.087, backward_time=0.535, grad_norm=0.927, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.021, optim0_lr0=3.222e-05, train_time=0.900
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 21:00:00,137 (trainer:827) INFO: 10epoch:train:11501-12000batch: iter_time=1.035e-04, forward_time=0.261, loss=3.735, acc=0.203, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.931, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.219e-05, train_time=0.903
[rootroot-4U4G-SPC621D8:0/2] 2024-09-09 21:07:28,264 (trainer:827) INFO: 10epoch:train:12001-12500batch: iter_time=1.008e-04, forward_time=0.261, loss=3.743, acc=0.202, acc_ar=0.319, acc_nar=0.086, backward_time=0.534, grad_norm=0.933, clip=0.000e+00, loss_scale=1.000e+10, optim_step_time=0.020, optim0_lr0=3.216e-05, train_time=0.896
W0909 21:14:15.863000 140503231457088 torch/multiprocessing/spawn.py:145] Terminating process 3466196 via signal SIGTERM
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 162, in join
    if not os.access(self.error_files[error_index], os.R_OK):
TypeError: access: path should be string, bytes or os.PathLike, not SimpleQueue
# Accounting: time=222404 threads=1
# Ended (code 1) at Mon Sep  9 21:14:26 CST 2024, elapsed time 222404 seconds
/home/stan/miniconda3/envs/espnet_codec/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 64 leaked semaphore objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '