diff --git "a/log/train.log" "b/log/train.log" new file mode 100644--- /dev/null +++ "b/log/train.log" @@ -0,0 +1,7446 @@ +2023-01-29 15:37:40 | INFO | fairseq.distributed.utils | distributed init (rank 1): tcp://localhost:13784 +2023-01-29 15:37:40 | INFO | fairseq.distributed.utils | distributed init (rank 3): tcp://localhost:13784 +2023-01-29 15:37:40 | INFO | fairseq.distributed.utils | distributed init (rank 2): tcp://localhost:13784 +2023-01-29 15:37:40 | INFO | fairseq.distributed.utils | distributed init (rank 0): tcp://localhost:13784 +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 1 +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 3 +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 2 +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 0 +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 15:37:41 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 1 +2023-01-29 15:37:41 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 0 +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 15:37:41 | INFO | torch.distributed.distributed_c10d | Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 15:37:41 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 3 +2023-01-29 15:37:41 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 2 +2023-01-29 15:37:45 | INFO | fairseq_cli.train | {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 10, 'log_format': 'json', 'log_file': None, 'tensorboard_logdir': '/home/wangrui/projects/SpeechT5/experimental/s2c', 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': True, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'on_cpu_convert_precision': False, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'amp': False, 'amp_batch_retries': 2, 'amp_init_scale': 128, 'amp_scale_window': None, 'user_dir': '/home/wangrui/projects/SpeechT5/SpeechT5/fairseq/examples/speecht5', 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 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lr_scheduler='triangular', lr_shrink=0.5, mask=0.3, mask_channel_length=64, mask_channel_min_space=1, mask_channel_other=0, mask_channel_prob=0.0, mask_channel_selection='static', mask_length='span-poisson', mask_min_space=1, mask_other=0, mask_prob=0.0, mask_random=0.1, mask_selection='static', max_distance=1280, max_epoch=0, max_lr=0.0002, max_speech_positions=4000, max_speech_sample_size=None, max_text_positions=600, max_tokens=None, max_tokens_valid=None, max_update=60000, max_valid_steps=None, maximize_best_checkpoint_metric=True, memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, min_speech_sample_size=None, model_parallel_size=1, modules_applied_guided_attn=('encoder-decoder',), modules_filter=None, no_epoch_checkpoints=True, no_freeze_encoder_layer=None, no_last_checkpoints=False, no_mask_channel_overlap=False, no_mask_overlap=False, no_progress_bar=False, no_reshard_after_forward=False, no_save=False, no_save_optimizer_state=False, no_scale_embedding=True, no_seed_provided=False, no_token_positional_embeddings=False, normalize=False, nprocs_per_node=4, num_buckets=320, num_heads_applied_guided_attn=2, num_layers_applied_guided_attn=2, num_shards=1, num_workers=4, on_cpu_convert_precision=False, optimizer='adam', optimizer_overrides='{}', pad=1, pad_audio=False, patience=-1, permute=0.0, permute_sentences=0.0, pipeline_balance=None, pipeline_checkpoint='never', pipeline_chunks=0, pipeline_decoder_balance=None, pipeline_decoder_devices=None, pipeline_devices=None, pipeline_encoder_balance=None, pipeline_encoder_devices=None, pipeline_model_parallel=False, plasma_path='/tmp/plasma', poisson_lambda=3.5, post_process='sentencepiece', postnet_chans=256, postnet_dropout_rate=0.5, postnet_filts=5, postnet_layers=5, pred_masked_weight=1.0, pred_nomask_weight=0.0, profile=False, quant_noise_pq=0, quantization_config_path=None, quantizer_depth=1, quantizer_factor=3, random_crop=False, reduction_factor=2, relative_position_embedding=True, replace_length=1, report_accuracy=True, required_batch_size_multiple=1, required_seq_len_multiple=1, reset_dataloader=False, reset_logging=False, reset_lr_scheduler=False, reset_meters=False, reset_optimizer=False, restore_file='checkpoint_last.pt', rotate=0.0, sample_break_mode='eos', sample_rate=16000.0, sample_ratios=None, save_dir='/home/wangrui/projects/SpeechT5/experimental/s2c', save_interval=1, save_interval_updates=10000, scoring='bleu', se_decoder_input='previous_target', se_predict=None, seed=1, sentence_avg=False, shard_id=0, share_ctc_embed=False, share_input_output_embed=True, shorten_data_split_list='', shorten_method='none', shrink_min=False, sid_decoder_attn_dim=128, sid_embed_dim=128, sid_encoder_cls=None, sid_no_embed_postnet=True, sid_no_pooling_bn=True, sid_pooling_layer='decoder', sid_softmax_type='softmax', single_target=False, skip_invalid_size_inputs_valid_test=True, skip_masked=False, skip_nomask=False, slowmo_algorithm='LocalSGD', slowmo_momentum=None, softmax_easy_margin=False, softmax_margin=0.0, softmax_scale=1.0, spk_embed_dim=512, spk_embed_integration_type='pre', stop_min_lr=-1.0, stop_time_hours=0, subsample_stride='2,2', suppress_crashes=False, t5_task='s2c', target_glu=False, task='speecht5', tensorboard_logdir='/home/wangrui/projects/SpeechT5/experimental/s2c', threshold_loss_scale=None, tokenizer=None, tokens_per_sample=512, tpu=False, train_subset='train', transformer_dec_positional_dropout_rate=0.1, transformer_enc_positional_dropout_rate=0.1, unb_enc_layer=-1, unk=3, untie_final_proj=True, update_freq=[2], use_batch_norm=True, use_bmuf=False, use_codebook=False, use_conv_pos=True, use_guided_attn_loss=False, use_masking=True, use_old_adam=False, use_plasma_view=False, use_sent_enc_layer=True, use_sharded_state=False, use_sinc_pos=True, use_weighted_masking=False, user_dir='/home/wangrui/projects/SpeechT5/SpeechT5/fairseq/examples/speecht5', valid_subset='valid', validate_after_updates=20000, validate_interval=1, validate_interval_updates=0, wandb_project=None, weight_decay=0.1, wer_args=None, wer_kenlm_model=None, wer_lexicon=None, wer_lm_weight=2.0, wer_word_score=-1.0, write_checkpoints_asynchronously=False, zero_infinity=False, zero_sharding='none'), 'task': Namespace(_name='speecht5', activation_dropout=0.1, activation_fn='gelu', adam_betas=(0.9, 0.999), adam_eps=1e-08, adaptive_input=False, adaptive_softmax_cutoff=None, adaptive_softmax_dropout=0, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, arch='t5_transformer_base_asr', attention_dropout=0.1, azureml_logging=False, bart_weight=1.0, batch_ratio=None, batch_size=8, batch_size_valid=8, bce_loss_lambda=1.0, bce_pos_weight=5.0, bert_init=True, best_checkpoint_metric='s2c_accuracy', bf16=False, bpe=None, bpe_tokenizer=None, broadcast_buffers=False, bucket_cap_mb=25, ce_weight=1.0, checkpoint_shard_count=1, checkpoint_suffix='', clip_norm=0.0, codebook_prob=0.5, combine_valid_subsets=None, config_yaml='config.yaml', conv_bias=False, conv_channels=1024, conv_feature_layers='[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', conv_kernel_sizes='5,5', conv_pos=128, conv_pos_groups=16, cpu=False, cpu_offload=False, criterion='speecht5', ctc_weight=0.0, curriculum=0, data='/home/wangrui/projects/SpeechT5/manifest', data_buffer_size=0, dataset_impl=None, ddp_backend='legacy_ddp', ddp_comm_hook='none', dec_use_scaled_pos_enc=True, dec_weight=1.0, decoder_attention_heads=12, decoder_embed_dim=768, decoder_ffn_embed_dim=3072, decoder_input_dim=768, decoder_layerdrop=0.1, decoder_layers=6, decoder_learned_pos=False, decoder_max_relative_position=160, decoder_normalize_before=False, decoder_output_dim=768, device_id=0, disable_validation=False, distributed_backend='nccl', distributed_init_method=None, distributed_no_spawn=False, distributed_num_procs=4, distributed_port=0, distributed_rank=0, distributed_world_size=4, 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freeze_decoder_updates=0, freeze_encoder_updates=0, gen_subset='test', guided_attn_loss_lambda=10.0, guided_attn_loss_sigma=0.4, heartbeat_timeout=-1, hubert_label_dir=None, hubert_labels=['km'], hubert_mask_length=10, hubert_weight=1.0, ignore_prefix_size=0, ignore_unused_valid_subsets=False, iid_noise_target=False, initial_decoder_alpha=1.0, initial_encoder_alpha=1.0, insert=0.0, keep_best_checkpoints=-1, keep_interval_updates=-1, keep_interval_updates_pattern=-1, keep_last_epochs=-1, label_rates=-1, label_smoothing=0.0, latent_dim=0, latent_groups=2, latent_temp=(2, 0.5, 0.999995), latent_vars=100, layer_norm_eps=1e-05, layer_norm_first=False, load_checkpoint_on_all_dp_ranks=False, localsgd_frequency=3, log_file=None, log_format='json', log_interval=10, log_keys=[], logit_temp=0.1, loss_type='L1', loss_weights=[0.1], lr=[1e-08], lr_period_updates=60000.0, lr_scheduler='triangular', lr_shrink=0.5, mask=0.3, mask_channel_length=64, mask_channel_min_space=1, mask_channel_other=0, mask_channel_prob=0.0, mask_channel_selection='static', mask_length='span-poisson', mask_min_space=1, mask_other=0, mask_prob=0.0, mask_random=0.1, mask_selection='static', max_distance=1280, max_epoch=0, max_lr=0.0002, max_speech_positions=4000, max_speech_sample_size=None, max_text_positions=600, max_tokens=None, max_tokens_valid=None, max_update=60000, max_valid_steps=None, maximize_best_checkpoint_metric=True, memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, min_speech_sample_size=None, model_parallel_size=1, modules_applied_guided_attn=('encoder-decoder',), modules_filter=None, no_epoch_checkpoints=True, no_freeze_encoder_layer=None, no_last_checkpoints=False, no_mask_channel_overlap=False, no_mask_overlap=False, no_progress_bar=False, no_reshard_after_forward=False, no_save=False, no_save_optimizer_state=False, no_scale_embedding=True, no_seed_provided=False, no_token_positional_embeddings=False, normalize=False, nprocs_per_node=4, num_buckets=320, num_heads_applied_guided_attn=2, num_layers_applied_guided_attn=2, num_shards=1, num_workers=4, on_cpu_convert_precision=False, optimizer='adam', optimizer_overrides='{}', pad=1, pad_audio=False, patience=-1, permute=0.0, permute_sentences=0.0, pipeline_balance=None, pipeline_checkpoint='never', pipeline_chunks=0, pipeline_decoder_balance=None, pipeline_decoder_devices=None, pipeline_devices=None, pipeline_encoder_balance=None, pipeline_encoder_devices=None, pipeline_model_parallel=False, plasma_path='/tmp/plasma', poisson_lambda=3.5, post_process='sentencepiece', postnet_chans=256, postnet_dropout_rate=0.5, postnet_filts=5, postnet_layers=5, pred_masked_weight=1.0, pred_nomask_weight=0.0, profile=False, quant_noise_pq=0, quantization_config_path=None, quantizer_depth=1, quantizer_factor=3, random_crop=False, reduction_factor=2, relative_position_embedding=True, replace_length=1, report_accuracy=True, required_batch_size_multiple=1, required_seq_len_multiple=1, reset_dataloader=False, reset_logging=False, reset_lr_scheduler=False, reset_meters=False, reset_optimizer=False, restore_file='checkpoint_last.pt', rotate=0.0, sample_break_mode='eos', sample_rate=16000.0, sample_ratios=None, save_dir='/home/wangrui/projects/SpeechT5/experimental/s2c', save_interval=1, save_interval_updates=10000, scoring='bleu', se_decoder_input='previous_target', se_predict=None, seed=1, sentence_avg=False, shard_id=0, share_ctc_embed=False, share_input_output_embed=True, shorten_data_split_list='', shorten_method='none', shrink_min=False, sid_decoder_attn_dim=128, sid_embed_dim=128, sid_encoder_cls=None, sid_no_embed_postnet=True, sid_no_pooling_bn=True, sid_pooling_layer='decoder', sid_softmax_type='softmax', single_target=False, skip_invalid_size_inputs_valid_test=True, skip_masked=False, skip_nomask=False, slowmo_algorithm='LocalSGD', slowmo_momentum=None, softmax_easy_margin=False, softmax_margin=0.0, softmax_scale=1.0, spk_embed_dim=512, spk_embed_integration_type='pre', stop_min_lr=-1.0, stop_time_hours=0, subsample_stride='2,2', suppress_crashes=False, t5_task='s2c', target_glu=False, task='speecht5', tensorboard_logdir='/home/wangrui/projects/SpeechT5/experimental/s2c', threshold_loss_scale=None, tokenizer=None, tokens_per_sample=512, tpu=False, train_subset='train', transformer_dec_positional_dropout_rate=0.1, transformer_enc_positional_dropout_rate=0.1, unb_enc_layer=-1, unk=3, untie_final_proj=True, update_freq=[2], use_batch_norm=True, use_bmuf=False, use_codebook=False, use_conv_pos=True, use_guided_attn_loss=False, use_masking=True, use_old_adam=False, use_plasma_view=False, use_sent_enc_layer=True, use_sharded_state=False, use_sinc_pos=True, use_weighted_masking=False, user_dir='/home/wangrui/projects/SpeechT5/SpeechT5/fairseq/examples/speecht5', valid_subset='valid', validate_after_updates=20000, validate_interval=1, validate_interval_updates=0, wandb_project=None, weight_decay=0.1, wer_args=None, wer_kenlm_model=None, wer_lexicon=None, wer_lm_weight=2.0, wer_word_score=-1.0, write_checkpoints_asynchronously=False, zero_infinity=False, zero_sharding='none'), 'criterion': {'_name': 'speecht5', 'zero_infinity': False, 'sentence_avg': False, 'post_process': 'sentencepiece', 'wer_kenlm_model': None, 'wer_lexicon': None, 'wer_lm_weight': 2.0, 'wer_word_score': -1.0, 'wer_args': None, 'label_smoothing': 0.0, 'report_accuracy': True, 'ignore_prefix_size': 0, 'ce_weight': 1.0, 'ctc_weight': 0.0, 'use_masking': True, 'use_weighted_masking': False, 'loss_type': 'L1', 'bce_pos_weight': 5.0, 'bce_loss_lambda': 1.0, 'use_guided_attn_loss': False, 'guided_attn_loss_sigma': 0.4, 'guided_attn_loss_lambda': 10.0, 'num_layers_applied_guided_attn': 2, 'num_heads_applied_guided_attn': 2, 'modules_applied_guided_attn': ['encoder-decoder'], 'pred_masked_weight': 1.0, 'pred_nomask_weight': 0.0, 'loss_weights': [0.1], 'log_keys': [], 'hubert_weight': 1.0, 'dec_weight': 1.0, 'bart_weight': 1.0}, 'optimizer': {'_name': 'adam', 'adam_betas': [0.9, 0.999], 'adam_eps': 1e-08, 'weight_decay': 0.1, 'use_old_adam': False, 'tpu': False, 'lr': [1e-08]}, 'lr_scheduler': {'_name': 'triangular', 'max_lr': 0.0002, 'lr_period_updates': 60000.0, 'lr_shrink': 0.5, 'shrink_min': False, 'lr': [1e-08]}, 'scoring': {'_name': 'bleu', 'pad': 1, 'eos': 2, 'unk': 3}, 'bpe': None, 'tokenizer': None} +2023-01-29 15:37:45 | INFO | speecht5.tasks.speecht5 | No config file for s2c +2023-01-29 15:37:45 | INFO | speecht5.tasks.speecht5 | Cannot set input_feat_per_channel, input_channels, since: +2023-01-29 15:37:45 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 15:37:45 | INFO | speecht5.tasks.speecht5 | Set to: 80 and 1 +2023-01-29 15:37:45 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 15:37:45 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 15:37:45 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 15:37:48 | INFO | speecht5.criterions.speech_to_text_loss | Only using CE loss +2023-01-29 15:37:48 | INFO | fairseq_cli.train | T5TransformerModel( + (encoder): TransformerEncoder( + (dropout_module): FairseqDropout() + (layers): ModuleList( + (0): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (1): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (2): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (3): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (4): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (5): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (6): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (7): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (8): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (9): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (10): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (11): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + ) + (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (proj): Linear(in_features=768, out_features=1257, bias=True) + (pos_emb): RelativePositionalEncoding( + (pe_k): Embedding(320, 64) + ) + ) + (decoder): TransformerDecoder( + (dropout_module): FairseqDropout() + (layers): LayerDropModuleList( + (0): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (1): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (2): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (3): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (4): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (5): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + ) + (pos_emb): RelativePositionalEncoding( + (pe_k): Embedding(320, 64) + ) + ) + (text_encoder_prenet): TextEncoderPrenet( + (encoder_prenet): Sequential( + (0): Embedding(1257, 768, padding_idx=1) + (1): ScaledPositionalEncoding( + (dropout): Dropout(p=0.1, inplace=False) + ) + ) + ) + (speech_encoder_prenet): SpeechEncoderPrenet( + (dropout_module): FairseqDropout() + (feature_extractor): ConvFeatureExtractionModel( + (conv_layers): ModuleList( + (0): Sequential( + (0): Conv1d(1, 512, kernel_size=(10,), stride=(5,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): Fp32GroupNorm(512, 512, eps=1e-05, affine=True) + (3): GELU() + ) + (1): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (2): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (3): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (4): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (5): Sequential( + (0): Conv1d(512, 512, kernel_size=(2,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (6): Sequential( + (0): Conv1d(512, 512, kernel_size=(2,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + ) + ) + (post_extract_proj): Linear(in_features=512, out_features=768, bias=True) + (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) + (pos_conv): Sequential( + (0): Conv1d(768, 768, kernel_size=(128,), stride=(1,), padding=(64,), groups=16) + (1): SamePad() + (2): GELU() + ) + (embed_positions): SinusoidalPositionalEmbedding() + ) + (text_decoder_prenet): TextDecoderPrenet( + (dropout_module): FairseqDropout() + (embed_tokens): Embedding(1257, 768, padding_idx=1) + (embed_positions): SinusoidalPositionalEmbedding() + ) + (speech_decoder_prenet): SpeechDecoderPrenet( + (decoder_prenet): Sequential( + (0): Sequential( + (0): Prenet( + (prenet): ModuleList( + (0): Sequential( + (0): Linear(in_features=80, out_features=256, bias=True) + (1): ReLU() + ) + (1): Sequential( + (0): Linear(in_features=256, out_features=256, bias=True) + (1): ReLU() + ) + ) + ) + (1): Linear(in_features=256, out_features=768, bias=True) + ) + (1): ScaledPositionalEncoding( + (dropout): Dropout(p=0.1, inplace=False) + ) + ) + (spkembs_layer): Sequential( + (0): Linear(in_features=1280, out_features=768, bias=True) + (1): ReLU() + ) + ) + (text_decoder_postnet): TextDecoderPostnet( + (output_projection): Linear(in_features=768, out_features=1257, bias=False) + ) + (speech_decoder_postnet): SpeechDecoderPostnet( + (feat_out): Linear(in_features=768, out_features=160, bias=True) + (prob_out): Linear(in_features=768, out_features=2, bias=True) + (postnet): Postnet( + (postnet): ModuleList( + (0): Sequential( + (0): Conv1d(80, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (1): Sequential( + (0): Conv1d(256, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (2): Sequential( + (0): Conv1d(256, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (3): Sequential( + (0): Conv1d(256, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (4): Sequential( + (0): Conv1d(256, 80, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(80, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Dropout(p=0.5, inplace=False) + ) + ) + ) + ) + (speaker_decoder_postnet): SpeakerDecoderPostnet( + (output_projection): Linear(in_features=768, out_features=1257, bias=False) + ) +) +2023-01-29 15:37:48 | INFO | fairseq_cli.train | task: SpeechT5Task +2023-01-29 15:37:48 | INFO | fairseq_cli.train | model: T5TransformerModel +2023-01-29 15:37:48 | INFO | fairseq_cli.train | criterion: SpeechT5Criterion +2023-01-29 15:37:48 | INFO | fairseq_cli.train | num. shared model params: 156,605,357 (num. trained: 156,605,357) +2023-01-29 15:37:48 | INFO | fairseq_cli.train | num. expert model params: 0 (num. trained: 0) +2023-01-29 15:37:48 | INFO | speecht5.data.speech_to_class_dataset | max_keep=1024000, min_keep=None, loaded 6903, skipped 0 short and 1 long, longest-loaded=975361, shortest-loaded=63361 +2023-01-29 15:37:48 | INFO | speecht5.data.speech_to_class_dataset | max_length=76800, normalize=False +2023-01-29 15:37:48 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:2 to store for rank: 0 +2023-01-29 15:37:48 | INFO | torch.distributed.distributed_c10d | Rank 0: Completed store-based barrier for key:store_based_barrier_key:2 with 4 nodes. +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: text_encoder_prenet.encoder_prenet.0.weight <- text_decoder_prenet.embed_tokens.weight +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: text_encoder_prenet.encoder_prenet.0.weight <- text_decoder_postnet.output_projection.weight +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.1.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.2.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.3.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.4.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.5.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.6.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- text_decoder_postnet.output_projection.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.0.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.1.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.2.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.3.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.4.0.bias +2023-01-29 15:37:48 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speaker_decoder_postnet.output_projection.bias +2023-01-29 15:37:48 | INFO | fairseq.utils | ***********************CUDA enviroments for all 4 workers*********************** +2023-01-29 15:37:48 | INFO | fairseq.utils | rank 0: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 15:37:48 | INFO | fairseq.utils | rank 1: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 15:37:48 | INFO | fairseq.utils | rank 2: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 15:37:48 | INFO | fairseq.utils | rank 3: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 15:37:48 | INFO | fairseq.utils | ***********************CUDA enviroments for all 4 workers*********************** +2023-01-29 15:37:48 | INFO | fairseq_cli.train | training on 4 devices (GPUs/TPUs) +2023-01-29 15:37:48 | INFO | fairseq_cli.train | max tokens per device = None and max sentences per device = 8 +2023-01-29 15:37:48 | INFO | fairseq.checkpoint_utils | loading pretrained model from /nfs-data/user1/PhDHub/ckpt/speecht5_base.pt: optimizer, lr scheduler, meters, dataloader will be reset +2023-01-29 15:37:48 | INFO | fairseq.trainer | Preparing to load checkpoint /nfs-data/user1/PhDHub/ckpt/speecht5_base.pt +2023-01-29 15:37:50 | WARNING | speecht5.models.speecht5 | not equal dictionary between model and checkpoint: 1257 vs 81 +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | reset model dictionary with size of 1257 +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | removed loaded checkpoint: encoder.proj.weight +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | removed loaded checkpoint: encoder.proj.bias +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | removed loaded checkpoint: text_encoder_prenet.encoder_prenet.0.weight +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | removed loaded checkpoint: text_encoder_prenet.encoder_prenet.1.alpha +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | removed loaded checkpoint: text_decoder_prenet.embed_tokens.weight +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | removed loaded checkpoint: text_decoder_prenet.embed_positions._float_tensor +2023-01-29 15:37:50 | INFO | speecht5.models.speecht5 | removed loaded checkpoint: text_decoder_postnet.output_projection.weight +2023-01-29 15:37:51 | INFO | fairseq.trainer | Loaded checkpoint /nfs-data/user1/PhDHub/ckpt/speecht5_base.pt (epoch 39 @ 0 updates) +2023-01-29 15:37:51 | INFO | fairseq.trainer | loading train data for epoch 1 +2023-01-29 15:37:51 | INFO | speecht5.data.speech_to_class_dataset | max_keep=1024000, min_keep=None, loaded 138333, skipped 0 short and 28 long, longest-loaded=1015681, shortest-loaded=63361 +2023-01-29 15:37:51 | INFO | speecht5.data.speech_to_class_dataset | max_length=51200, normalize=False +2023-01-29 15:37:51 | WARNING | speecht5.models.speecht5 | not equal dictionary between model and checkpoint: 1257 vs 81 +2023-01-29 15:37:51 | WARNING | speecht5.models.speecht5 | not equal dictionary between model and checkpoint: 1257 vs 81 +2023-01-29 15:37:51 | WARNING | speecht5.models.speecht5 | not equal dictionary between model and checkpoint: 1257 vs 81 +2023-01-29 15:37:57 | INFO | fairseq.trainer | begin training epoch 1 +2023-01-29 15:37:57 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 15:38:01 | INFO | train_inner | {"epoch": 1, "update": 0.005, "s2c_loss": "10.381", "loss": "7.19523", "s2c_nll_loss": "10.381", "s2c_accuracy": "0", "s2c_total": "64", "s2c_n_correct": "0", "wps": "255.5", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "10", "lr": "7.66633e-08", "gnorm": "5.896", "loss_scale": "128", "train_wall": "4", "gb_free": "7.3", "wall": "13"} +2023-01-29 15:38:04 | INFO | train_inner | {"epoch": 1, "update": 0.009, "s2c_loss": "10.358", "loss": "7.17947", "s2c_nll_loss": "10.358", "s2c_accuracy": "0", "s2c_total": "64", "s2c_n_correct": "0", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "20", "lr": "1.43327e-07", "gnorm": "5.624", "loss_scale": "128", "train_wall": "2", "gb_free": "7.3", "wall": "15"} +2023-01-29 15:38:06 | INFO | train_inner | {"epoch": 1, "update": 0.014, "s2c_loss": "10.343", "loss": "7.16907", "s2c_nll_loss": "10.343", "s2c_accuracy": "0", "s2c_total": "64", "s2c_n_correct": "0", "wps": "250.1", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "30", "lr": "2.0999e-07", "gnorm": "5.58", "loss_scale": "128", "train_wall": "3", "gb_free": "7.2", "wall": "18"} +2023-01-29 15:38:09 | INFO | train_inner | {"epoch": 1, "update": 0.019, "s2c_loss": "10.358", "loss": "7.17943", "s2c_nll_loss": "10.358", "s2c_accuracy": "0", "s2c_total": "64", "s2c_n_correct": "0", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "40", "lr": "2.76653e-07", "gnorm": "5.798", "loss_scale": "128", "train_wall": "3", "gb_free": "7.3", "wall": "21"} +2023-01-29 15:38:11 | INFO | train_inner | {"epoch": 1, "update": 0.023, "s2c_loss": "10.361", "loss": "7.18196", "s2c_nll_loss": "10.361", "s2c_accuracy": "0.156", "s2c_total": "64", "s2c_n_correct": "0.1", "wps": 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INFO | train_inner | {"epoch": 1, "update": 0.037, "s2c_loss": "10.365", "loss": "7.1846", "s2c_nll_loss": "10.365", "s2c_accuracy": "0.312", "s2c_total": "64", "s2c_n_correct": "0.2", "wps": "251", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "80", "lr": "5.43307e-07", "gnorm": "5.733", "loss_scale": "128", "train_wall": "3", "gb_free": "7.2", "wall": "31"} +2023-01-29 15:38:22 | INFO | train_inner | {"epoch": 1, "update": 0.042, "s2c_loss": "10.348", "loss": "7.17294", "s2c_nll_loss": "10.348", "s2c_accuracy": "0.156", "s2c_total": "64", "s2c_n_correct": "0.1", "wps": "250.4", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "90", "lr": "6.0997e-07", "gnorm": "5.592", "loss_scale": "128", "train_wall": "3", "gb_free": "7.3", "wall": "33"} +2023-01-29 15:38:24 | INFO | train_inner | {"epoch": 1, "update": 0.046, "s2c_loss": "10.348", "loss": "7.17296", "s2c_nll_loss": "10.348", "s2c_accuracy": "0", "s2c_total": "64", "s2c_n_correct": "0", "wps": "255.9", "ups": "4", 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"train_wall": "3", "gb_free": "7.2", "wall": "491"} +2023-01-29 15:46:02 | INFO | train_inner | {"epoch": 1, "update": 0.883, "s2c_loss": "8.947", "loss": "6.20128", "s2c_nll_loss": "8.947", "s2c_accuracy": "8.125", "s2c_total": "64", "s2c_n_correct": "5.2", "wps": "255", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "1910", "lr": "1.27427e-05", "gnorm": "4.065", "loss_scale": "128", "train_wall": "2", "gb_free": "7.4", "wall": "494"} +2023-01-29 15:46:04 | INFO | train_inner | {"epoch": 1, "update": 0.888, "s2c_loss": "8.957", "loss": "6.2085", "s2c_nll_loss": "8.957", "s2c_accuracy": "5.469", "s2c_total": "64", "s2c_n_correct": "3.5", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "1920", "lr": "1.28094e-05", "gnorm": "4.046", "loss_scale": "128", "train_wall": "2", "gb_free": "7.3", "wall": "496"} +2023-01-29 15:46:07 | INFO | train_inner | {"epoch": 1, "update": 0.893, "s2c_loss": "8.926", "loss": "6.18724", "s2c_nll_loss": "8.926", 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"train_wall": "2", "gb_free": "7.3", "wall": "504"} +2023-01-29 15:46:14 | INFO | train_inner | {"epoch": 1, "update": 0.907, "s2c_loss": "9.087", "loss": "6.29887", "s2c_nll_loss": "9.087", "s2c_accuracy": "5.312", "s2c_total": "64", "s2c_n_correct": "3.4", "wps": "257.6", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "1960", "lr": "1.3076e-05", "gnorm": "4.148", "loss_scale": "128", "train_wall": "2", "gb_free": "7.3", "wall": "506"} +2023-01-29 15:46:17 | INFO | train_inner | {"epoch": 1, "update": 0.911, "s2c_loss": "8.8", "loss": "6.09968", "s2c_nll_loss": "8.8", "s2c_accuracy": "8.125", "s2c_total": "64", "s2c_n_correct": "5.2", "wps": "250.5", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "1970", "lr": "1.31427e-05", "gnorm": "4.364", "loss_scale": "128", "train_wall": "3", "gb_free": "7.2", "wall": "509"} +2023-01-29 15:46:20 | INFO | train_inner | {"epoch": 1, "update": 0.916, "s2c_loss": "8.916", "loss": "6.17989", "s2c_nll_loss": "8.916", "s2c_accuracy": 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"gb_free": "7.4", "wall": "529"} +2023-01-29 15:46:40 | INFO | train_inner | {"epoch": 1, "update": 0.953, "s2c_loss": "8.816", "loss": "6.11072", "s2c_nll_loss": "8.816", "s2c_accuracy": "6.406", "s2c_total": "64", "s2c_n_correct": "4.1", "wps": "254", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "2060", "lr": "1.37426e-05", "gnorm": "4.099", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "531"} +2023-01-29 15:46:42 | INFO | train_inner | {"epoch": 1, "update": 0.957, "s2c_loss": "8.733", "loss": "6.05325", "s2c_nll_loss": "8.733", "s2c_accuracy": "6.406", "s2c_total": "64", "s2c_n_correct": "4.1", "wps": "253.9", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "2070", "lr": "1.38093e-05", "gnorm": "3.93", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "534"} +2023-01-29 15:46:45 | INFO | train_inner | {"epoch": 1, "update": 0.962, "s2c_loss": "8.75", "loss": "6.0647", "s2c_nll_loss": "8.75", "s2c_accuracy": "7.031", "s2c_total": "64", "s2c_n_correct": "4.5", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "2080", "lr": "1.3876e-05", "gnorm": "4.15", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "536"} +2023-01-29 15:46:47 | INFO | train_inner | {"epoch": 1, "update": 0.967, "s2c_loss": "8.73", "loss": "6.05133", "s2c_nll_loss": "8.73", "s2c_accuracy": "7.5", "s2c_total": "64", "s2c_n_correct": "4.8", "wps": "255.5", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "2090", "lr": "1.39426e-05", "gnorm": "4.466", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "539"} +2023-01-29 15:46:50 | INFO | train_inner | {"epoch": 1, "update": 0.971, "s2c_loss": "8.658", "loss": "6.00158", "s2c_nll_loss": "8.658", "s2c_accuracy": "9.219", "s2c_total": "64", "s2c_n_correct": "5.9", "wps": "255.8", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "2100", "lr": "1.40093e-05", "gnorm": "4.161", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "541"} +2023-01-29 15:46:52 | INFO | train_inner | {"epoch": 1, "update": 0.976, "s2c_loss": "8.852", "loss": "6.13542", "s2c_nll_loss": "8.852", "s2c_accuracy": "7.969", "s2c_total": "64", "s2c_n_correct": "5.1", "wps": "260.5", "ups": "4.07", "wpb": "64", "bsz": "64", "num_updates": "2110", "lr": "1.4076e-05", "gnorm": "4.421", "loss_scale": "256", "train_wall": "2", "gb_free": "7.4", "wall": "544"} +2023-01-29 15:46:55 | INFO | train_inner | {"epoch": 1, "update": 0.981, "s2c_loss": "8.7", "loss": "6.03031", "s2c_nll_loss": "8.7", "s2c_accuracy": "7.812", "s2c_total": "64", "s2c_n_correct": "5", "wps": "254.5", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "2120", "lr": "1.41426e-05", "gnorm": "4.456", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "546"} +2023-01-29 15:46:57 | INFO | train_inner | {"epoch": 1, "update": 0.985, "s2c_loss": "8.601", "loss": "5.96154", "s2c_nll_loss": "8.601", "s2c_accuracy": "8.438", "s2c_total": "64", "s2c_n_correct": "5.4", "wps": "255.7", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "2130", "lr": "1.42093e-05", "gnorm": "4.439", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "549"} +2023-01-29 15:47:00 | INFO | train_inner | {"epoch": 1, "update": 0.99, "s2c_loss": "8.708", "loss": "6.03607", "s2c_nll_loss": "8.708", "s2c_accuracy": "7.344", "s2c_total": "64", "s2c_n_correct": "4.7", "wps": "249", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "2140", "lr": "1.4276e-05", "gnorm": "4.2", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "551"} +2023-01-29 15:47:02 | INFO | train_inner | {"epoch": 1, "update": 0.994, "s2c_loss": "8.664", "loss": "6.00573", "s2c_nll_loss": "8.664", "s2c_accuracy": "6.719", "s2c_total": "64", "s2c_n_correct": "4.3", "wps": "251.6", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "2150", "lr": "1.43426e-05", "gnorm": "3.963", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "554"} +2023-01-29 15:47:05 | INFO | train_inner | {"epoch": 1, "update": 0.999, "s2c_loss": "8.563", "loss": "5.93525", "s2c_nll_loss": "8.563", "s2c_accuracy": "8.125", "s2c_total": "64", "s2c_n_correct": "5.2", "wps": "256", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "2160", "lr": "1.44093e-05", "gnorm": "4.081", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "557"} +2023-01-29 15:47:05 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 1 @ 2162 updates +2023-01-29 15:47:05 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 15:47:09 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 15:47:09 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 1 @ 2162 updates, score None) (writing took 3.261515055783093 seconds) +2023-01-29 15:47:09 | INFO | fairseq_cli.train | end of epoch 1 (average epoch stats below) +2023-01-29 15:47:09 | INFO | train | {"epoch": 1, "train_s2c_loss": "9.794", "train_loss": "6.78837", "train_s2c_nll_loss": "9.794", "train_s2c_accuracy": "2.346", "train_s2c_total": "63.9838", "train_s2c_n_correct": "1.50093", "train_wps": "251.6", "train_ups": "3.93", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "2162", "train_lr": "1.44226e-05", "train_gnorm": "4.101", "train_loss_scale": "256", "train_train_wall": "540", "train_gb_free": "7.5", "train_wall": "560"} +2023-01-29 16:11:33 | INFO | fairseq.distributed.utils | distributed init (rank 3): tcp://localhost:12742 +2023-01-29 16:11:33 | INFO | fairseq.distributed.utils | distributed init (rank 1): tcp://localhost:12742 +2023-01-29 16:11:33 | INFO | fairseq.distributed.utils | distributed init (rank 2): tcp://localhost:12742 +2023-01-29 16:11:33 | INFO | fairseq.distributed.utils | distributed init (rank 0): tcp://localhost:12742 +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 3 +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 1 +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 2 +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 0 +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 16:11:34 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 0 +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 16:11:34 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 2 +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 16:11:34 | INFO | torch.distributed.distributed_c10d | Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +2023-01-29 16:11:34 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 3 +2023-01-29 16:11:34 | INFO | fairseq.distributed.utils | initialized host ubuntu as rank 1 +2023-01-29 16:11:39 | INFO | fairseq_cli.train | {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 10, 'log_format': 'json', 'log_file': None, 'tensorboard_logdir': '/home/wangrui/projects/SpeechT5/experimental/s2c', 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': True, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 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maximize_best_checkpoint_metric=True, memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, min_speech_sample_size=None, model_parallel_size=1, modules_applied_guided_attn=('encoder-decoder',), modules_filter=None, no_epoch_checkpoints=True, no_freeze_encoder_layer=None, no_last_checkpoints=False, no_mask_channel_overlap=False, no_mask_overlap=False, no_progress_bar=False, no_reshard_after_forward=False, no_save=False, no_save_optimizer_state=False, no_scale_embedding=True, no_seed_provided=False, no_token_positional_embeddings=False, normalize=False, nprocs_per_node=4, num_buckets=320, num_heads_applied_guided_attn=2, num_layers_applied_guided_attn=2, num_shards=1, num_workers=4, on_cpu_convert_precision=False, optimizer='adam', optimizer_overrides='{}', pad=1, pad_audio=False, patience=-1, permute=0.0, permute_sentences=0.0, pipeline_balance=None, pipeline_checkpoint='never', pipeline_chunks=0, pipeline_decoder_balance=None, pipeline_decoder_devices=None, pipeline_devices=None, pipeline_encoder_balance=None, pipeline_encoder_devices=None, pipeline_model_parallel=False, plasma_path='/tmp/plasma', poisson_lambda=3.5, post_process='sentencepiece', postnet_chans=256, postnet_dropout_rate=0.5, postnet_filts=5, postnet_layers=5, pred_masked_weight=1.0, pred_nomask_weight=0.0, profile=False, quant_noise_pq=0, quantization_config_path=None, quantizer_depth=1, quantizer_factor=3, random_crop=False, reduction_factor=2, relative_position_embedding=True, replace_length=1, report_accuracy=True, required_batch_size_multiple=1, required_seq_len_multiple=1, reset_dataloader=False, reset_logging=False, reset_lr_scheduler=False, reset_meters=False, reset_optimizer=False, restore_file='checkpoint_last.pt', rotate=0.0, sample_break_mode='eos', sample_rate=16000.0, sample_ratios=None, save_dir='/home/wangrui/projects/SpeechT5/experimental/s2c', save_interval=1, save_interval_updates=10000, scoring='bleu', se_decoder_input='previous_target', se_predict=None, seed=1, sentence_avg=False, shard_id=0, share_ctc_embed=False, share_input_output_embed=True, shorten_data_split_list='', shorten_method='none', shrink_min=False, sid_decoder_attn_dim=128, sid_embed_dim=128, sid_encoder_cls=None, sid_no_embed_postnet=True, sid_no_pooling_bn=True, sid_pooling_layer='decoder', sid_softmax_type='softmax', single_target=False, skip_invalid_size_inputs_valid_test=True, skip_masked=False, skip_nomask=False, slowmo_algorithm='LocalSGD', slowmo_momentum=None, softmax_easy_margin=False, softmax_margin=0.0, softmax_scale=1.0, spk_embed_dim=512, spk_embed_integration_type='pre', stop_min_lr=-1.0, stop_time_hours=0, subsample_stride='2,2', suppress_crashes=False, t5_task='s2c', target_glu=False, task='speecht5', tensorboard_logdir='/home/wangrui/projects/SpeechT5/experimental/s2c', threshold_loss_scale=None, tokenizer=None, tokens_per_sample=512, tpu=False, train_subset='train', transformer_dec_positional_dropout_rate=0.1, transformer_enc_positional_dropout_rate=0.1, unb_enc_layer=-1, unk=3, untie_final_proj=True, update_freq=[2], use_batch_norm=True, use_bmuf=False, use_codebook=False, use_conv_pos=True, use_guided_attn_loss=False, use_masking=True, use_old_adam=False, use_plasma_view=False, use_sent_enc_layer=True, use_sharded_state=False, use_sinc_pos=True, use_weighted_masking=False, user_dir='/home/wangrui/projects/SpeechT5/SpeechT5/fairseq/examples/speecht5', valid_subset='valid', validate_after_updates=20000, validate_interval=1, validate_interval_updates=0, wandb_project=None, weight_decay=0.1, wer_args=None, wer_kenlm_model=None, wer_lexicon=None, wer_lm_weight=2.0, wer_word_score=-1.0, write_checkpoints_asynchronously=False, zero_infinity=False, zero_sharding='none'), 'task': Namespace(_name='speecht5', activation_dropout=0.1, activation_fn='gelu', adam_betas=(0.9, 0.999), adam_eps=1e-08, adaptive_input=False, adaptive_softmax_cutoff=None, adaptive_softmax_dropout=0, all_gather_list_size=16384, 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min_speech_sample_size=None, model_parallel_size=1, modules_applied_guided_attn=('encoder-decoder',), modules_filter=None, no_epoch_checkpoints=True, no_freeze_encoder_layer=None, no_last_checkpoints=False, no_mask_channel_overlap=False, no_mask_overlap=False, no_progress_bar=False, no_reshard_after_forward=False, no_save=False, no_save_optimizer_state=False, no_scale_embedding=True, no_seed_provided=False, no_token_positional_embeddings=False, normalize=False, nprocs_per_node=4, num_buckets=320, num_heads_applied_guided_attn=2, num_layers_applied_guided_attn=2, num_shards=1, num_workers=4, on_cpu_convert_precision=False, optimizer='adam', optimizer_overrides='{}', pad=1, pad_audio=False, patience=-1, permute=0.0, permute_sentences=0.0, pipeline_balance=None, pipeline_checkpoint='never', pipeline_chunks=0, pipeline_decoder_balance=None, pipeline_decoder_devices=None, pipeline_devices=None, pipeline_encoder_balance=None, pipeline_encoder_devices=None, pipeline_model_parallel=False, plasma_path='/tmp/plasma', poisson_lambda=3.5, post_process='sentencepiece', postnet_chans=256, postnet_dropout_rate=0.5, postnet_filts=5, postnet_layers=5, pred_masked_weight=1.0, pred_nomask_weight=0.0, profile=False, quant_noise_pq=0, quantization_config_path=None, quantizer_depth=1, quantizer_factor=3, random_crop=False, reduction_factor=2, relative_position_embedding=True, replace_length=1, report_accuracy=True, required_batch_size_multiple=1, required_seq_len_multiple=1, reset_dataloader=False, reset_logging=False, reset_lr_scheduler=False, reset_meters=False, reset_optimizer=False, restore_file='checkpoint_last.pt', rotate=0.0, sample_break_mode='eos', sample_rate=16000.0, sample_ratios=None, save_dir='/home/wangrui/projects/SpeechT5/experimental/s2c', save_interval=1, save_interval_updates=10000, scoring='bleu', se_decoder_input='previous_target', se_predict=None, seed=1, sentence_avg=False, shard_id=0, share_ctc_embed=False, share_input_output_embed=True, shorten_data_split_list='', shorten_method='none', shrink_min=False, sid_decoder_attn_dim=128, sid_embed_dim=128, sid_encoder_cls=None, sid_no_embed_postnet=True, sid_no_pooling_bn=True, sid_pooling_layer='decoder', sid_softmax_type='softmax', single_target=False, skip_invalid_size_inputs_valid_test=True, skip_masked=False, skip_nomask=False, slowmo_algorithm='LocalSGD', slowmo_momentum=None, softmax_easy_margin=False, softmax_margin=0.0, softmax_scale=1.0, spk_embed_dim=512, spk_embed_integration_type='pre', stop_min_lr=-1.0, stop_time_hours=0, subsample_stride='2,2', suppress_crashes=False, t5_task='s2c', target_glu=False, task='speecht5', tensorboard_logdir='/home/wangrui/projects/SpeechT5/experimental/s2c', threshold_loss_scale=None, tokenizer=None, tokens_per_sample=512, tpu=False, train_subset='train', transformer_dec_positional_dropout_rate=0.1, transformer_enc_positional_dropout_rate=0.1, unb_enc_layer=-1, unk=3, untie_final_proj=True, update_freq=[2], use_batch_norm=True, use_bmuf=False, use_codebook=False, use_conv_pos=True, use_guided_attn_loss=False, use_masking=True, use_old_adam=False, use_plasma_view=False, use_sent_enc_layer=True, use_sharded_state=False, use_sinc_pos=True, use_weighted_masking=False, user_dir='/home/wangrui/projects/SpeechT5/SpeechT5/fairseq/examples/speecht5', valid_subset='valid', validate_after_updates=20000, validate_interval=1, validate_interval_updates=0, wandb_project=None, weight_decay=0.1, wer_args=None, wer_kenlm_model=None, wer_lexicon=None, wer_lm_weight=2.0, wer_word_score=-1.0, write_checkpoints_asynchronously=False, zero_infinity=False, zero_sharding='none'), 'criterion': {'_name': 'speecht5', 'zero_infinity': False, 'sentence_avg': False, 'post_process': 'sentencepiece', 'wer_kenlm_model': None, 'wer_lexicon': None, 'wer_lm_weight': 2.0, 'wer_word_score': -1.0, 'wer_args': None, 'label_smoothing': 0.0, 'report_accuracy': True, 'ignore_prefix_size': 0, 'ce_weight': 1.0, 'ctc_weight': 0.0, 'use_masking': True, 'use_weighted_masking': False, 'loss_type': 'L1', 'bce_pos_weight': 5.0, 'bce_loss_lambda': 1.0, 'use_guided_attn_loss': False, 'guided_attn_loss_sigma': 0.4, 'guided_attn_loss_lambda': 10.0, 'num_layers_applied_guided_attn': 2, 'num_heads_applied_guided_attn': 2, 'modules_applied_guided_attn': ['encoder-decoder'], 'pred_masked_weight': 1.0, 'pred_nomask_weight': 0.0, 'loss_weights': [0.1], 'log_keys': [], 'hubert_weight': 1.0, 'dec_weight': 1.0, 'bart_weight': 1.0}, 'optimizer': {'_name': 'adam', 'adam_betas': [0.9, 0.999], 'adam_eps': 1e-08, 'weight_decay': 0.1, 'use_old_adam': False, 'tpu': False, 'lr': [1e-08]}, 'lr_scheduler': {'_name': 'triangular', 'max_lr': 0.0002, 'lr_period_updates': 60000.0, 'lr_shrink': 0.5, 'shrink_min': False, 'lr': [1e-08]}, 'scoring': {'_name': 'bleu', 'pad': 1, 'eos': 2, 'unk': 3}, 'bpe': None, 'tokenizer': None} +2023-01-29 16:11:39 | INFO | speecht5.tasks.speecht5 | No config file for s2c +2023-01-29 16:11:39 | INFO | speecht5.tasks.speecht5 | Cannot set input_feat_per_channel, input_channels, since: +2023-01-29 16:11:39 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 16:11:39 | INFO | speecht5.tasks.speecht5 | Set to: 80 and 1 +2023-01-29 16:11:39 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 16:11:39 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 16:11:39 | WARNING | speecht5.tasks.speecht5 | 'NoneType' object has no attribute 'input_feat_per_channel' +2023-01-29 16:11:42 | INFO | speecht5.criterions.speech_to_text_loss | Only using CE loss +2023-01-29 16:11:42 | INFO | fairseq_cli.train | T5TransformerModel( + (encoder): TransformerEncoder( + (dropout_module): FairseqDropout() + (layers): ModuleList( + (0): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (1): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (2): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (3): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (4): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (5): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (6): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (7): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (8): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (9): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (10): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (11): TransformerSentenceEncoderLayer( + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + (dropout3): Dropout(p=0.1, inplace=False) + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + ) + (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (proj): Linear(in_features=768, out_features=1257, bias=True) + (pos_emb): RelativePositionalEncoding( + (pe_k): Embedding(320, 64) + ) + ) + (decoder): TransformerDecoder( + (dropout_module): FairseqDropout() + (layers): LayerDropModuleList( + (0): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (1): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (2): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (3): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (4): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + (5): TransformerDecoderLayer( + (dropout_module): FairseqDropout() + (self_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (activation_dropout_module): FairseqDropout() + (self_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (encoder_attn): MultiheadAttention( + (dropout_module): FairseqDropout() + (k_proj): Linear(in_features=768, out_features=768, bias=True) + (v_proj): Linear(in_features=768, out_features=768, bias=True) + (q_proj): Linear(in_features=768, out_features=768, bias=True) + (out_proj): Linear(in_features=768, out_features=768, bias=True) + ) + (encoder_attn_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (norm_k): LayerNorm((64,), eps=1e-05, elementwise_affine=True) + ) + ) + (pos_emb): RelativePositionalEncoding( + (pe_k): Embedding(320, 64) + ) + ) + (text_encoder_prenet): TextEncoderPrenet( + (encoder_prenet): Sequential( + (0): Embedding(1257, 768, padding_idx=1) + (1): ScaledPositionalEncoding( + (dropout): Dropout(p=0.1, inplace=False) + ) + ) + ) + (speech_encoder_prenet): SpeechEncoderPrenet( + (dropout_module): FairseqDropout() + (feature_extractor): ConvFeatureExtractionModel( + (conv_layers): ModuleList( + (0): Sequential( + (0): Conv1d(1, 512, kernel_size=(10,), stride=(5,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): Fp32GroupNorm(512, 512, eps=1e-05, affine=True) + (3): GELU() + ) + (1): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (2): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (3): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (4): Sequential( + (0): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (5): Sequential( + (0): Conv1d(512, 512, kernel_size=(2,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + (6): Sequential( + (0): Conv1d(512, 512, kernel_size=(2,), stride=(2,), bias=False) + (1): Dropout(p=0.0, inplace=False) + (2): GELU() + ) + ) + ) + (post_extract_proj): Linear(in_features=512, out_features=768, bias=True) + (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True) + (pos_conv): Sequential( + (0): Conv1d(768, 768, kernel_size=(128,), stride=(1,), padding=(64,), groups=16) + (1): SamePad() + (2): GELU() + ) + (embed_positions): SinusoidalPositionalEmbedding() + ) + (text_decoder_prenet): TextDecoderPrenet( + (dropout_module): FairseqDropout() + (embed_tokens): Embedding(1257, 768, padding_idx=1) + (embed_positions): SinusoidalPositionalEmbedding() + ) + (speech_decoder_prenet): SpeechDecoderPrenet( + (decoder_prenet): Sequential( + (0): Sequential( + (0): Prenet( + (prenet): ModuleList( + (0): Sequential( + (0): Linear(in_features=80, out_features=256, bias=True) + (1): ReLU() + ) + (1): Sequential( + (0): Linear(in_features=256, out_features=256, bias=True) + (1): ReLU() + ) + ) + ) + (1): Linear(in_features=256, out_features=768, bias=True) + ) + (1): ScaledPositionalEncoding( + (dropout): Dropout(p=0.1, inplace=False) + ) + ) + (spkembs_layer): Sequential( + (0): Linear(in_features=1280, out_features=768, bias=True) + (1): ReLU() + ) + ) + (text_decoder_postnet): TextDecoderPostnet( + (output_projection): Linear(in_features=768, out_features=1257, bias=False) + ) + (speech_decoder_postnet): SpeechDecoderPostnet( + (feat_out): Linear(in_features=768, out_features=160, bias=True) + (prob_out): Linear(in_features=768, out_features=2, bias=True) + (postnet): Postnet( + (postnet): ModuleList( + (0): Sequential( + (0): Conv1d(80, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (1): Sequential( + (0): Conv1d(256, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (2): Sequential( + (0): Conv1d(256, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (3): Sequential( + (0): Conv1d(256, 256, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Tanh() + (3): Dropout(p=0.5, inplace=False) + ) + (4): Sequential( + (0): Conv1d(256, 80, kernel_size=(5,), stride=(1,), padding=(2,), bias=False) + (1): BatchNorm1d(80, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): Dropout(p=0.5, inplace=False) + ) + ) + ) + ) + (speaker_decoder_postnet): SpeakerDecoderPostnet( + (output_projection): Linear(in_features=768, out_features=1257, bias=False) + ) +) +2023-01-29 16:11:42 | INFO | fairseq_cli.train | task: SpeechT5Task +2023-01-29 16:11:42 | INFO | fairseq_cli.train | model: T5TransformerModel +2023-01-29 16:11:42 | INFO | fairseq_cli.train | criterion: SpeechT5Criterion +2023-01-29 16:11:42 | INFO | fairseq_cli.train | num. shared model params: 156,605,357 (num. trained: 156,605,357) +2023-01-29 16:11:42 | INFO | fairseq_cli.train | num. expert model params: 0 (num. trained: 0) +2023-01-29 16:11:42 | INFO | speecht5.data.speech_to_class_dataset | max_keep=1024000, min_keep=None, loaded 6903, skipped 0 short and 1 long, longest-loaded=975361, shortest-loaded=63361 +2023-01-29 16:11:42 | INFO | speecht5.data.speech_to_class_dataset | max_length=76800, normalize=False +2023-01-29 16:11:42 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:2 to store for rank: 0 +2023-01-29 16:11:42 | INFO | torch.distributed.distributed_c10d | Rank 0: Completed store-based barrier for key:store_based_barrier_key:2 with 4 nodes. +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: text_encoder_prenet.encoder_prenet.0.weight <- text_decoder_prenet.embed_tokens.weight +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: text_encoder_prenet.encoder_prenet.0.weight <- text_decoder_postnet.output_projection.weight +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.1.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.2.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.3.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.4.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.5.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_encoder_prenet.feature_extractor.conv_layers.6.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- text_decoder_postnet.output_projection.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.0.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.1.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.2.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.3.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speech_decoder_postnet.postnet.postnet.4.0.bias +2023-01-29 16:11:42 | INFO | fairseq.trainer | detected shared parameter: speech_encoder_prenet.feature_extractor.conv_layers.0.0.bias <- speaker_decoder_postnet.output_projection.bias +2023-01-29 16:11:42 | INFO | fairseq.utils | ***********************CUDA enviroments for all 4 workers*********************** +2023-01-29 16:11:42 | INFO | fairseq.utils | rank 0: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 16:11:42 | INFO | fairseq.utils | rank 1: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 16:11:42 | INFO | fairseq.utils | rank 2: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 16:11:42 | INFO | fairseq.utils | rank 3: capabilities = 8.6 ; total memory = 11.771 GB ; name = NVIDIA GeForce RTX 3080 Ti +2023-01-29 16:11:42 | INFO | fairseq.utils | ***********************CUDA enviroments for all 4 workers*********************** +2023-01-29 16:11:42 | INFO | fairseq_cli.train | training on 4 devices (GPUs/TPUs) +2023-01-29 16:11:42 | INFO | fairseq_cli.train | max tokens per device = None and max sentences per device = 8 +2023-01-29 16:11:42 | INFO | fairseq.trainer | Preparing to load checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 16:11:45 | INFO | fairseq.trainer | Loaded checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 2 @ 2162 updates) +2023-01-29 16:11:45 | INFO | fairseq.trainer | loading train data for epoch 2 +2023-01-29 16:11:46 | INFO | speecht5.data.speech_to_class_dataset | max_keep=1024000, min_keep=None, loaded 138333, skipped 0 short and 28 long, longest-loaded=1015681, shortest-loaded=63361 +2023-01-29 16:11:46 | INFO | speecht5.data.speech_to_class_dataset | max_length=51200, normalize=False +2023-01-29 16:11:52 | INFO | fairseq.trainer | begin training epoch 2 +2023-01-29 16:11:52 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 16:11:55 | INFO | train_inner | {"epoch": 2, "update": 1.004, "s2c_loss": "8.723", "loss": "6.04611", "s2c_nll_loss": "8.723", "s2c_accuracy": "9.18", "s2c_total": "64", "s2c_n_correct": "5.875", "wps": "252.4", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "2170", "lr": "1.44759e-05", "gnorm": "4.206", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "13"} +2023-01-29 16:11:58 | INFO | train_inner | {"epoch": 2, "update": 1.008, "s2c_loss": "8.657", "loss": "6.00057", "s2c_nll_loss": "8.657", "s2c_accuracy": "7.969", "s2c_total": "64", "s2c_n_correct": "5.1", "wps": "252.5", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "2180", "lr": "1.45426e-05", "gnorm": "4.474", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "16"} +2023-01-29 16:12:01 | INFO | train_inner | {"epoch": 2, "update": 1.013, "s2c_loss": "8.55", "loss": "5.92655", "s2c_nll_loss": "8.55", "s2c_accuracy": "8.281", "s2c_total": "64", "s2c_n_correct": "5.3", "wps": "246.7", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "2190", "lr": "1.46093e-05", "gnorm": "4.27", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "19"} +2023-01-29 16:12:03 | INFO | train_inner | {"epoch": 2, "update": 1.018, "s2c_loss": "8.465", "loss": "5.86777", "s2c_nll_loss": "8.465", "s2c_accuracy": "10", "s2c_total": "64", "s2c_n_correct": "6.4", "wps": "246.4", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "2200", "lr": "1.46759e-05", "gnorm": "4.255", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "21"} +2023-01-29 16:12:06 | INFO | train_inner | {"epoch": 2, "update": 1.022, "s2c_loss": "8.479", "loss": "5.8773", "s2c_nll_loss": "8.479", "s2c_accuracy": "9.844", "s2c_total": "64", "s2c_n_correct": "6.3", "wps": "249.7", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "2210", "lr": "1.47426e-05", "gnorm": "4.575", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "24"} +2023-01-29 16:12:08 | INFO | train_inner | {"epoch": 2, "update": 1.027, "s2c_loss": "8.584", "loss": "5.94977", "s2c_nll_loss": "8.584", "s2c_accuracy": "10.156", "s2c_total": "64", "s2c_n_correct": "6.5", "wps": "248.2", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "2220", "lr": "1.48093e-05", "gnorm": "4.734", "loss_scale": "256", "train_wall": "3", "gb_free": "7.4", "wall": "26"} +2023-01-29 16:12:11 | INFO | train_inner | {"epoch": 2, "update": 1.031, "s2c_loss": "8.5", "loss": "5.89201", "s2c_nll_loss": "8.5", "s2c_accuracy": "7.656", "s2c_total": "64", "s2c_n_correct": "4.9", "wps": "247.4", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "2230", "lr": "1.48759e-05", "gnorm": "4.653", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "29"} +2023-01-29 16:12:14 | INFO | train_inner | {"epoch": 2, "update": 1.036, "s2c_loss": "8.613", 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INFO | train_inner | {"epoch": 2, "update": 1.73, "s2c_loss": "6.226", "loss": "4.31542", "s2c_nll_loss": "6.226", "s2c_accuracy": "31.25", "s2c_total": "64", "s2c_n_correct": "20", "wps": "257.2", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "3740", "lr": "2.49421e-05", "gnorm": "6.984", "loss_scale": "256", "train_wall": "2", "gb_free": "7.4", "wall": "413"} +2023-01-29 16:18:38 | INFO | train_inner | {"epoch": 2, "update": 1.735, "s2c_loss": "5.879", "loss": "4.07472", "s2c_nll_loss": "5.879", "s2c_accuracy": "34.688", "s2c_total": "64", "s2c_n_correct": "22.2", "wps": "246.3", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "3750", "lr": "2.50088e-05", "gnorm": "6.208", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "416"} +2023-01-29 16:18:41 | INFO | train_inner | {"epoch": 2, "update": 1.739, "s2c_loss": "5.995", "loss": "4.15576", "s2c_nll_loss": "5.995", "s2c_accuracy": "32.344", "s2c_total": "64", "s2c_n_correct": "20.7", "wps": "249", 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INFO | train_inner | {"epoch": 2, "update": 1.753, "s2c_loss": "6.058", "loss": "4.1989", "s2c_nll_loss": "6.058", "s2c_accuracy": "29.688", "s2c_total": "64", "s2c_n_correct": "19", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "3790", "lr": "2.52754e-05", "gnorm": "6.692", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "426"} +2023-01-29 16:18:51 | INFO | train_inner | {"epoch": 2, "update": 1.758, "s2c_loss": "6.065", "loss": "4.20386", "s2c_nll_loss": "6.065", "s2c_accuracy": "30.312", "s2c_total": "64", "s2c_n_correct": "19.4", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "3800", "lr": "2.53421e-05", "gnorm": "6.46", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "429"} +2023-01-29 16:18:53 | INFO | train_inner | {"epoch": 2, "update": 1.762, "s2c_loss": "5.946", "loss": "4.12165", "s2c_nll_loss": "5.946", "s2c_accuracy": "31.875", "s2c_total": "64", "s2c_n_correct": "20.4", "wps": "252.5", 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INFO | train_inner | {"epoch": 2, "update": 1.776, "s2c_loss": "6.026", "loss": "4.17686", "s2c_nll_loss": "6.026", "s2c_accuracy": "29.219", "s2c_total": "64", "s2c_n_correct": "18.7", "wps": "247", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "3840", "lr": "2.56087e-05", "gnorm": "6.6", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "439"} +2023-01-29 16:19:03 | INFO | train_inner | {"epoch": 2, "update": 1.781, "s2c_loss": "6.024", "loss": "4.17568", "s2c_nll_loss": "6.024", "s2c_accuracy": "30.312", "s2c_total": "64", "s2c_n_correct": "19.4", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "3850", "lr": "2.56754e-05", "gnorm": "7.449", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "441"} +2023-01-29 16:19:06 | INFO | train_inner | {"epoch": 2, "update": 1.785, "s2c_loss": "5.88", "loss": "4.07563", "s2c_nll_loss": "5.88", "s2c_accuracy": "32.969", "s2c_total": "64", "s2c_n_correct": "21.1", "wps": "253.9", 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INFO | train_inner | {"epoch": 2, "update": 1.822, "s2c_loss": "5.854", "loss": "4.0579", "s2c_nll_loss": "5.854", "s2c_accuracy": "32.031", "s2c_total": "64", "s2c_n_correct": "20.5", "wps": "250", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "3940", "lr": "2.62754e-05", "gnorm": "7.414", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "464"} +2023-01-29 16:19:29 | INFO | train_inner | {"epoch": 2, "update": 1.827, "s2c_loss": "5.806", "loss": "4.02425", "s2c_nll_loss": "5.806", "s2c_accuracy": "35", "s2c_total": "64", "s2c_n_correct": "22.4", "wps": "247.4", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "3950", "lr": "2.6342e-05", "gnorm": "6.092", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "467"} +2023-01-29 16:19:31 | INFO | train_inner | {"epoch": 2, "update": 1.832, "s2c_loss": "5.973", "loss": "4.14004", "s2c_nll_loss": "5.973", "s2c_accuracy": "30.625", "s2c_total": "64", "s2c_n_correct": "19.6", "wps": "251.4", 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INFO | train_inner | {"epoch": 2, "update": 1.869, "s2c_loss": "5.721", "loss": "3.96537", "s2c_nll_loss": "5.721", "s2c_accuracy": "34.844", "s2c_total": "64", "s2c_n_correct": "22.3", "wps": "254.7", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "4040", "lr": "2.6942e-05", "gnorm": "7.399", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "489"} +2023-01-29 16:19:54 | INFO | train_inner | {"epoch": 2, "update": 1.873, "s2c_loss": "5.385", "loss": "3.7329", "s2c_nll_loss": "5.385", "s2c_accuracy": "38.125", "s2c_total": "64", "s2c_n_correct": "24.4", "wps": "254.9", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "4050", "lr": "2.70087e-05", "gnorm": "7.129", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "492"} +2023-01-29 16:19:56 | INFO | train_inner | {"epoch": 2, "update": 1.878, "s2c_loss": "5.753", "loss": "3.98786", "s2c_nll_loss": "5.753", "s2c_accuracy": "35.312", "s2c_total": "64", "s2c_n_correct": "22.6", "wps": 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16:20:04 | INFO | train_inner | {"epoch": 2, "update": 1.892, "s2c_loss": "5.581", "loss": "3.86876", "s2c_nll_loss": "5.581", "s2c_accuracy": "36.406", "s2c_total": "64", "s2c_n_correct": "23.3", "wps": "251.5", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "4090", "lr": "2.72753e-05", "gnorm": "6.577", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "502"} +2023-01-29 16:20:07 | INFO | train_inner | {"epoch": 2, "update": 1.896, "s2c_loss": "5.416", "loss": "3.75409", "s2c_nll_loss": "5.416", "s2c_accuracy": "36.875", "s2c_total": "64", "s2c_n_correct": "23.6", "wps": "251.8", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "4100", "lr": "2.7342e-05", "gnorm": "7.397", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "505"} +2023-01-29 16:20:09 | INFO | train_inner | {"epoch": 2, "update": 1.901, "s2c_loss": "5.313", "loss": "3.68261", "s2c_nll_loss": "5.313", "s2c_accuracy": "39.062", "s2c_total": "64", "s2c_n_correct": "25", 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+2023-01-29 16:20:30 | INFO | train_inner | {"epoch": 2, "update": 1.938, "s2c_loss": "5.376", "loss": "3.72605", "s2c_nll_loss": "5.376", "s2c_accuracy": "38.75", "s2c_total": "64", "s2c_n_correct": "24.8", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "4190", "lr": "2.79419e-05", "gnorm": "6.478", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "528"} +2023-01-29 16:20:32 | INFO | train_inner | {"epoch": 2, "update": 1.943, "s2c_loss": "5.442", "loss": "3.7724", "s2c_nll_loss": "5.442", "s2c_accuracy": "39.688", "s2c_total": "64", "s2c_n_correct": "25.4", "wps": "246.1", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "4200", "lr": "2.80086e-05", "gnorm": "6.574", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "530"} +2023-01-29 16:20:35 | INFO | train_inner | {"epoch": 2, "update": 1.947, "s2c_loss": "5.238", "loss": "3.63063", "s2c_nll_loss": "5.238", "s2c_accuracy": "39.219", "s2c_total": "64", "s2c_n_correct": 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+2023-01-29 16:20:42 | INFO | train_inner | {"epoch": 2, "update": 1.961, "s2c_loss": "5.132", "loss": "3.55752", "s2c_nll_loss": "5.132", "s2c_accuracy": "41.25", "s2c_total": "64", "s2c_n_correct": "26.4", "wps": "244.7", "ups": "3.82", "wpb": "64", "bsz": "64", "num_updates": "4240", "lr": "2.82753e-05", "gnorm": "7.615", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "540"} +2023-01-29 16:20:45 | INFO | train_inner | {"epoch": 2, "update": 1.966, "s2c_loss": "5.435", "loss": "3.76699", "s2c_nll_loss": "5.435", "s2c_accuracy": "39.844", "s2c_total": "64", "s2c_n_correct": "25.5", "wps": "246.9", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "4250", "lr": "2.83419e-05", "gnorm": "6.947", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "543"} +2023-01-29 16:20:48 | INFO | train_inner | {"epoch": 2, "update": 1.97, "s2c_loss": "5.294", "loss": "3.66935", "s2c_nll_loss": "5.294", "s2c_accuracy": "36.562", "s2c_total": "64", "s2c_n_correct": "23.4", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "4260", "lr": "2.84086e-05", "gnorm": "7.601", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "546"} +2023-01-29 16:20:50 | INFO | train_inner | {"epoch": 2, "update": 1.975, "s2c_loss": "5.367", "loss": "3.71983", "s2c_nll_loss": "5.367", "s2c_accuracy": "40.312", "s2c_total": "64", "s2c_n_correct": "25.8", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "4270", "lr": "2.84752e-05", "gnorm": "7.191", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "548"} +2023-01-29 16:20:53 | INFO | train_inner | {"epoch": 2, "update": 1.98, "s2c_loss": "5.425", "loss": "3.76028", "s2c_nll_loss": "5.425", "s2c_accuracy": "38.75", "s2c_total": "64", "s2c_n_correct": "24.8", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "4280", "lr": "2.85419e-05", "gnorm": "7.029", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "551"} +2023-01-29 16:20:55 | INFO | train_inner | {"epoch": 2, "update": 1.984, "s2c_loss": "5.287", "loss": "3.66501", "s2c_nll_loss": "5.287", "s2c_accuracy": "39.219", "s2c_total": "64", "s2c_n_correct": "25.1", "wps": "250.1", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "4290", "lr": "2.86086e-05", "gnorm": "7.489", "loss_scale": "512", "train_wall": "3", "gb_free": "7.4", "wall": "553"} +2023-01-29 16:20:58 | INFO | train_inner | {"epoch": 2, "update": 1.989, "s2c_loss": "5.083", "loss": "3.52344", "s2c_nll_loss": "5.083", "s2c_accuracy": "40.312", "s2c_total": "64", "s2c_n_correct": "25.8", "wps": "247.6", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "4300", "lr": "2.86752e-05", "gnorm": "6.933", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "556"} +2023-01-29 16:21:00 | INFO | train_inner | {"epoch": 2, "update": 1.994, "s2c_loss": "4.906", "loss": "3.4009", "s2c_nll_loss": "4.906", "s2c_accuracy": "42.656", "s2c_total": "64", "s2c_n_correct": "27.3", "wps": "253.1", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "4310", "lr": "2.87419e-05", "gnorm": "7.883", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "558"} +2023-01-29 16:21:03 | INFO | train_inner | {"epoch": 2, "update": 1.998, "s2c_loss": "5.348", "loss": "3.7072", "s2c_nll_loss": "5.348", "s2c_accuracy": "39.688", "s2c_total": "64", "s2c_n_correct": "25.4", "wps": "256.2", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "4320", "lr": "2.88086e-05", "gnorm": "8.355", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "561"} +2023-01-29 16:21:04 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 2 @ 4324 updates +2023-01-29 16:21:04 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 16:21:11 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 16:21:11 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 2 @ 4324 updates, score None) (writing took 6.920269948896021 seconds) +2023-01-29 16:21:11 | INFO | fairseq_cli.train | end of epoch 2 (average epoch stats below) +2023-01-29 16:21:11 | INFO | train | {"epoch": 2, "train_s2c_loss": "6.906", "train_loss": "4.78672", "train_s2c_nll_loss": "6.906", "train_s2c_accuracy": "23.655", "train_s2c_total": "63.9838", "train_s2c_n_correct": "15.1351", "train_wps": "248.2", "train_ups": "3.88", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "4324", "train_lr": "2.88352e-05", "train_gnorm": "5.868", "train_loss_scale": "512", "train_train_wall": "544", "train_gb_free": "7.5", "train_wall": "569"} +2023-01-29 16:21:17 | INFO | fairseq.trainer | begin training epoch 3 +2023-01-29 16:21:17 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 16:21:19 | INFO | train_inner | {"epoch": 3, "update": 2.003, "s2c_loss": "5.365", "loss": "3.71858", "s2c_nll_loss": "5.365", "s2c_accuracy": "36.842", "s2c_total": "60.8", "s2c_n_correct": "22.4", "wps": "38.8", "ups": "0.64", "wpb": "60.8", "bsz": "60.8", "num_updates": "4330", "lr": "2.88752e-05", "gnorm": "8.817", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "576"} +2023-01-29 16:21:21 | INFO | train_inner | {"epoch": 3, "update": 2.007, "s2c_loss": "4.868", "loss": "3.37731", "s2c_nll_loss": "4.868", "s2c_accuracy": "45.997", "s2c_total": "63.7", "s2c_n_correct": "29.3", "wps": "251.6", "ups": "3.95", "wpb": "63.7", "bsz": "63.7", "num_updates": "4340", "lr": "2.89419e-05", "gnorm": "8.938", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "579"} +2023-01-29 16:21:24 | INFO | train_inner | {"epoch": 3, "update": 2.012, "s2c_loss": "5.026", "loss": "3.48351", "s2c_nll_loss": "5.026", "s2c_accuracy": "43.906", "s2c_total": "64", "s2c_n_correct": "28.1", "wps": "251.9", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "4350", "lr": "2.90086e-05", "gnorm": "7.21", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "582"} +2023-01-29 16:21:26 | INFO | train_inner | {"epoch": 3, "update": 2.017, "s2c_loss": "5.298", "loss": "3.67196", "s2c_nll_loss": "5.298", "s2c_accuracy": "38.281", "s2c_total": "64", "s2c_n_correct": "24.5", "wps": "247.8", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "4360", "lr": "2.90752e-05", "gnorm": "8.156", "loss_scale": "512", "train_wall": "3", "gb_free": "7.4", "wall": "584"} +2023-01-29 16:21:29 | INFO | train_inner | {"epoch": 3, "update": 2.021, "s2c_loss": "5.055", "loss": "3.50413", "s2c_nll_loss": "5.055", "s2c_accuracy": "41.719", "s2c_total": "64", "s2c_n_correct": "26.7", "wps": "248.8", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "4370", "lr": "2.91419e-05", "gnorm": "7.634", "loss_scale": "512", "train_wall": 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"loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "612"} +2023-01-29 16:21:57 | INFO | train_inner | {"epoch": 3, "update": 2.072, "s2c_loss": "4.768", "loss": "3.30512", "s2c_nll_loss": "4.768", "s2c_accuracy": "45.625", "s2c_total": "64", "s2c_n_correct": "29.2", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "4480", "lr": "2.98752e-05", "gnorm": "7.673", "loss_scale": "512", "train_wall": "2", "gb_free": "7.4", "wall": "615"} +2023-01-29 16:21:59 | INFO | train_inner | {"epoch": 3, "update": 2.077, "s2c_loss": "4.865", "loss": "3.37228", "s2c_nll_loss": "4.865", "s2c_accuracy": "44.062", "s2c_total": "64", "s2c_n_correct": "28.2", "wps": "254.4", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "4490", "lr": "2.99418e-05", "gnorm": "7.348", "loss_scale": "512", "train_wall": "2", "gb_free": "7.4", "wall": "617"} +2023-01-29 16:22:02 | INFO | train_inner | {"epoch": 3, "update": 2.081, "s2c_loss": "4.883", "loss": "3.38459", 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"s2c_loss": "4.169", "loss": "2.8894", "s2c_nll_loss": "4.169", "s2c_accuracy": "51.094", "s2c_total": "64", "s2c_n_correct": "32.7", "wps": "257.8", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "5300", "lr": "3.53416e-05", "gnorm": "8.908", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "823"} +2023-01-29 16:25:27 | INFO | train_inner | {"epoch": 3, "update": 2.456, "s2c_loss": "3.828", "loss": "2.65358", "s2c_nll_loss": "3.828", "s2c_accuracy": "52.969", "s2c_total": "64", "s2c_n_correct": "33.9", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "5310", "lr": "3.54082e-05", "gnorm": "8.34", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "825"} +2023-01-29 16:25:28 | INFO | fairseq.trainer | NOTE: gradient overflow detected, ignoring gradient, setting loss scale to: 256.0 +2023-01-29 16:25:30 | INFO | train_inner | {"epoch": 3, "update": 2.461, "s2c_loss": "3.808", "loss": "2.63947", "s2c_nll_loss": "3.808", "s2c_accuracy": "56.562", "s2c_total": "64", "s2c_n_correct": "36.2", "wps": "231.6", "ups": "3.62", "wpb": "64", "bsz": "64", "num_updates": "5320", "lr": "3.54749e-05", "gnorm": "8.441", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "828"} +2023-01-29 16:25:33 | INFO | train_inner | {"epoch": 3, "update": 2.466, "s2c_loss": "3.825", "loss": "2.65118", "s2c_nll_loss": "3.825", "s2c_accuracy": "55", "s2c_total": "64", "s2c_n_correct": "35.2", "wps": "251.2", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "5330", "lr": "3.55416e-05", "gnorm": "8.731", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "831"} +2023-01-29 16:25:35 | INFO | train_inner | {"epoch": 3, "update": 2.47, "s2c_loss": "3.752", "loss": "2.60058", "s2c_nll_loss": "3.752", "s2c_accuracy": "56.094", "s2c_total": "64", "s2c_n_correct": "35.9", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "5340", "lr": "3.56082e-05", "gnorm": "8.186", "loss_scale": 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"s2c_n_correct": "42.5", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "6440", "lr": "4.29412e-05", "gnorm": "10.952", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "1112"} +2023-01-29 16:30:17 | INFO | train_inner | {"epoch": 3, "update": 2.984, "s2c_loss": "2.796", "loss": "1.93827", "s2c_nll_loss": "2.796", "s2c_accuracy": "64.375", "s2c_total": "64", "s2c_n_correct": "41.2", "wps": "256.4", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "6450", "lr": "4.30079e-05", "gnorm": "8.769", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "1115"} +2023-01-29 16:30:19 | INFO | train_inner | {"epoch": 3, "update": 2.988, "s2c_loss": "2.443", "loss": "1.69358", "s2c_nll_loss": "2.443", "s2c_accuracy": "70.625", "s2c_total": "64", "s2c_n_correct": "45.2", "wps": "250.8", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "6460", "lr": "4.30745e-05", "gnorm": "8.823", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "1117"} +2023-01-29 16:30:22 | INFO | train_inner | {"epoch": 3, "update": 2.993, "s2c_loss": "2.549", "loss": "1.767", "s2c_nll_loss": "2.549", "s2c_accuracy": "65.781", "s2c_total": "64", "s2c_n_correct": "42.1", "wps": "250.8", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "6470", "lr": "4.31412e-05", "gnorm": "9.425", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "1120"} +2023-01-29 16:30:24 | INFO | train_inner | {"epoch": 3, "update": 2.998, "s2c_loss": "2.519", "loss": "1.74576", "s2c_nll_loss": "2.519", "s2c_accuracy": "68.125", "s2c_total": "64", "s2c_n_correct": "43.6", "wps": "254.2", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "6480", "lr": "4.32078e-05", "gnorm": "8.606", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "1122"} +2023-01-29 16:30:25 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 3 @ 6485 updates +2023-01-29 16:30:25 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 16:30:32 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 16:30:32 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 3 @ 6485 updates, score None) (writing took 7.009676571004093 seconds) +2023-01-29 16:30:32 | INFO | fairseq_cli.train | end of epoch 3 (average epoch stats below) +2023-01-29 16:30:32 | INFO | train | {"epoch": 3, "train_s2c_loss": "3.768", "train_loss": "2.61192", "train_s2c_nll_loss": "3.768", "train_s2c_accuracy": "55.212", "train_s2c_total": "63.9838", "train_s2c_n_correct": "35.3267", "train_wps": "246.1", "train_ups": "3.85", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "6485", "train_lr": "4.32412e-05", "train_gnorm": "8.709", "train_loss_scale": "256", "train_train_wall": "541", 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"1141"} +2023-01-29 16:30:45 | INFO | train_inner | {"epoch": 4, "update": 3.012, "s2c_loss": "2.694", "loss": "1.86768", "s2c_nll_loss": "2.694", "s2c_accuracy": "67.031", "s2c_total": "64", "s2c_n_correct": "42.9", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "6510", "lr": "4.34078e-05", "gnorm": "9.554", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "1143"} +2023-01-29 16:30:48 | INFO | train_inner | {"epoch": 4, "update": 3.016, "s2c_loss": "2.376", "loss": "1.64724", "s2c_nll_loss": "2.376", "s2c_accuracy": "68.125", "s2c_total": "64", "s2c_n_correct": "43.6", "wps": "250.5", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "6520", "lr": "4.34745e-05", "gnorm": "9.832", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "1146"} +2023-01-29 16:30:50 | INFO | train_inner | {"epoch": 4, "update": 3.021, "s2c_loss": "2.679", "loss": "1.85676", "s2c_nll_loss": "2.679", "s2c_accuracy": "66.094", "s2c_total": "64", "s2c_n_correct": "42.3", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "6530", "lr": "4.35412e-05", "gnorm": "10.469", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "1148"} +2023-01-29 16:30:53 | INFO | train_inner | {"epoch": 4, "update": 3.025, "s2c_loss": "2.697", "loss": "1.86973", "s2c_nll_loss": "2.697", "s2c_accuracy": "71.094", "s2c_total": "64", "s2c_n_correct": "45.5", "wps": "257.9", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "6540", "lr": "4.36078e-05", "gnorm": "8.946", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "1151"} +2023-01-29 16:30:55 | INFO | train_inner | {"epoch": 4, "update": 3.03, "s2c_loss": "2.602", "loss": "1.80383", "s2c_nll_loss": "2.602", "s2c_accuracy": "69.062", "s2c_total": "64", "s2c_n_correct": "44.2", "wps": "251.6", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "6550", "lr": "4.36745e-05", "gnorm": "8.791", "loss_scale": "256", "train_wall": "3", "gb_free": 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"gb_free": "7.3", "wall": "1166"} +2023-01-29 16:31:11 | INFO | train_inner | {"epoch": 4, "update": 3.058, "s2c_loss": "2.487", "loss": "1.7237", "s2c_nll_loss": "2.487", "s2c_accuracy": "69.375", "s2c_total": "64", "s2c_n_correct": "44.4", "wps": "244.6", "ups": "3.82", "wpb": "64", "bsz": "64", "num_updates": "6610", "lr": "4.40745e-05", "gnorm": "9.756", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "1169"} +2023-01-29 16:31:14 | INFO | train_inner | {"epoch": 4, "update": 3.062, "s2c_loss": "2.863", "loss": "1.98438", "s2c_nll_loss": "2.863", "s2c_accuracy": "65.312", "s2c_total": "64", "s2c_n_correct": "41.8", "wps": "249.8", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "6620", "lr": "4.41411e-05", "gnorm": "9.433", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "1171"} +2023-01-29 16:31:16 | INFO | train_inner | {"epoch": 4, "update": 3.067, "s2c_loss": "2.35", "loss": "1.62895", "s2c_nll_loss": "2.35", "s2c_accuracy": "69.219", 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INFO | train_inner | {"epoch": 4, "update": 3.391, "s2c_loss": "1.889", "loss": "1.30965", "s2c_nll_loss": "1.889", "s2c_accuracy": "77.969", "s2c_total": "64", "s2c_n_correct": "49.9", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "7330", "lr": "4.88742e-05", "gnorm": "9.001", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "1352"} +2023-01-29 16:34:17 | INFO | train_inner | {"epoch": 4, "update": 3.395, "s2c_loss": "1.848", "loss": "1.28077", "s2c_nll_loss": "1.848", "s2c_accuracy": "74.844", "s2c_total": "64", "s2c_n_correct": "47.9", "wps": "245.7", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "7340", "lr": "4.89409e-05", "gnorm": "9.534", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "1354"} +2023-01-29 16:34:19 | INFO | train_inner | {"epoch": 4, "update": 3.4, "s2c_loss": "1.97", "loss": "1.36517", "s2c_nll_loss": "1.97", "s2c_accuracy": "73.906", "s2c_total": "64", "s2c_n_correct": "47.3", "wps": 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16:34:27 | INFO | train_inner | {"epoch": 4, "update": 3.414, "s2c_loss": "1.769", "loss": "1.22623", "s2c_nll_loss": "1.769", "s2c_accuracy": "75.625", "s2c_total": "64", "s2c_n_correct": "48.4", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "7380", "lr": "4.92075e-05", "gnorm": "9.538", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "1365"} +2023-01-29 16:34:29 | INFO | train_inner | {"epoch": 4, "update": 3.419, "s2c_loss": "2.052", "loss": "1.42224", "s2c_nll_loss": "2.052", "s2c_accuracy": "72.031", "s2c_total": "64", "s2c_n_correct": "46.1", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "7390", "lr": "4.92742e-05", "gnorm": "9.655", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "1367"} +2023-01-29 16:34:32 | INFO | train_inner | {"epoch": 4, "update": 3.423, "s2c_loss": "2.086", "loss": "1.44559", "s2c_nll_loss": "2.086", "s2c_accuracy": "74.531", "s2c_total": "64", "s2c_n_correct": "47.7", 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16:37:16 | INFO | train_inner | {"epoch": 4, "update": 3.724, "s2c_loss": "1.612", "loss": "1.11757", "s2c_nll_loss": "1.612", "s2c_accuracy": "79.688", "s2c_total": "64", "s2c_n_correct": "51", "wps": "250.2", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "8050", "lr": "5.3674e-05", "gnorm": "10.242", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "1534"} +2023-01-29 16:37:18 | INFO | train_inner | {"epoch": 4, "update": 3.728, "s2c_loss": "1.603", "loss": "1.11121", "s2c_nll_loss": "1.603", "s2c_accuracy": "77.188", "s2c_total": "64", "s2c_n_correct": "49.4", "wps": "254.5", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "8060", "lr": "5.37406e-05", "gnorm": "9.801", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "1536"} +2023-01-29 16:37:21 | INFO | train_inner | {"epoch": 4, "update": 3.733, "s2c_loss": "1.605", "loss": "1.1128", "s2c_nll_loss": "1.605", "s2c_accuracy": "77.812", "s2c_total": "64", "s2c_n_correct": "49.8", 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3.964, "s2c_loss": "1.53", "loss": "1.0607", "s2c_nll_loss": "1.53", "s2c_accuracy": "80", "s2c_total": "64", "s2c_n_correct": "51.2", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "8570", "lr": "5.71405e-05", "gnorm": "10.471", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "1666"} +2023-01-29 16:39:31 | INFO | train_inner | {"epoch": 4, "update": 3.969, "s2c_loss": "1.388", "loss": "0.96177", "s2c_nll_loss": "1.388", "s2c_accuracy": "81.562", "s2c_total": "64", "s2c_n_correct": "52.2", "wps": "253.9", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "8580", "lr": "5.72071e-05", "gnorm": "9.158", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "1669"} +2023-01-29 16:39:33 | INFO | train_inner | {"epoch": 4, "update": 3.974, "s2c_loss": "1.446", "loss": "1.00252", "s2c_nll_loss": "1.446", "s2c_accuracy": "80.312", "s2c_total": "64", "s2c_n_correct": "51.4", "wps": "248.5", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "8590", "lr": "5.72738e-05", "gnorm": "9.989", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "1671"} +2023-01-29 16:39:36 | INFO | train_inner | {"epoch": 4, "update": 3.978, "s2c_loss": "1.438", "loss": "0.99705", "s2c_nll_loss": "1.438", "s2c_accuracy": "79.531", "s2c_total": "64", "s2c_n_correct": "50.9", "wps": "245.7", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "8600", "lr": "5.73405e-05", "gnorm": "9.853", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "1674"} +2023-01-29 16:39:38 | INFO | train_inner | {"epoch": 4, "update": 3.983, "s2c_loss": "1.29", "loss": "0.89412", "s2c_nll_loss": "1.29", "s2c_accuracy": "82.344", "s2c_total": "64", "s2c_n_correct": "52.7", "wps": "249.5", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "8610", "lr": "5.74071e-05", "gnorm": "9.913", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "1676"} +2023-01-29 16:39:41 | INFO | train_inner | {"epoch": 4, "update": 3.988, "s2c_loss": "1.36", "loss": "0.94265", "s2c_nll_loss": "1.36", "s2c_accuracy": "81.875", "s2c_total": "64", "s2c_n_correct": "52.4", "wps": "247.1", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "8620", "lr": "5.74738e-05", "gnorm": "10.02", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "1679"} +2023-01-29 16:39:44 | INFO | train_inner | {"epoch": 4, "update": 3.992, "s2c_loss": "1.513", "loss": "1.04882", "s2c_nll_loss": "1.513", "s2c_accuracy": "81.25", "s2c_total": "64", "s2c_n_correct": "52", "wps": "250.2", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "8630", "lr": "5.75405e-05", "gnorm": "9.881", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "1682"} +2023-01-29 16:39:46 | INFO | train_inner | {"epoch": 4, "update": 3.997, "s2c_loss": "1.46", "loss": "1.0118", "s2c_nll_loss": "1.46", "s2c_accuracy": "80.938", "s2c_total": "64", "s2c_n_correct": "51.8", "wps": "241.8", "ups": "3.78", "wpb": "64", "bsz": 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"train_s2c_accuracy": "76.31", "train_s2c_total": "63.9838", "train_s2c_n_correct": "48.8261", "train_wps": "245.9", "train_ups": "3.84", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "8647", "train_lr": "5.76538e-05", "train_gnorm": "9.783", "train_loss_scale": "512", "train_train_wall": "542", "train_gb_free": "7.5", "train_wall": "1693"} +2023-01-29 16:40:01 | INFO | fairseq.trainer | begin training epoch 5 +2023-01-29 16:40:01 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 16:40:02 | INFO | train_inner | {"epoch": 5, "update": 4.001, "s2c_loss": "1.221", "loss": "0.84644", "s2c_nll_loss": "1.221", "s2c_accuracy": "84.046", "s2c_total": "60.8", "s2c_n_correct": "51.1", "wps": "38.1", "ups": "0.63", "wpb": "60.8", "bsz": "60.8", "num_updates": "8650", "lr": "5.76738e-05", "gnorm": "10.311", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "1700"} +2023-01-29 16:40:05 | INFO | train_inner | {"epoch": 5, "update": 4.006, "s2c_loss": 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"s2c_loss": "1.219", "loss": "0.84473", "s2c_nll_loss": "1.219", "s2c_accuracy": "82.656", "s2c_total": "64", "s2c_n_correct": "52.9", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "8710", "lr": "5.80738e-05", "gnorm": "10.651", "loss_scale": "512", "train_wall": "3", "gb_free": "7.4", "wall": "1716"} +2023-01-29 16:40:20 | INFO | train_inner | {"epoch": 5, "update": 4.034, "s2c_loss": "1.275", "loss": "0.88372", "s2c_nll_loss": "1.275", "s2c_accuracy": "85.469", "s2c_total": "64", "s2c_n_correct": "54.7", "wps": "250.6", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "8720", "lr": "5.81404e-05", "gnorm": "8.975", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "1718"} +2023-01-29 16:40:23 | INFO | train_inner | {"epoch": 5, "update": 4.038, "s2c_loss": "1.29", "loss": "0.89436", "s2c_nll_loss": "1.29", "s2c_accuracy": "83.594", "s2c_total": "64", "s2c_n_correct": "53.5", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "8730", "lr": "5.82071e-05", "gnorm": "9.098", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "1721"} +2023-01-29 16:40:25 | INFO | train_inner | {"epoch": 5, "update": 4.043, "s2c_loss": "1.128", "loss": "0.78209", "s2c_nll_loss": "1.128", "s2c_accuracy": "84.375", "s2c_total": "64", "s2c_n_correct": "54", "wps": "244.2", "ups": "3.81", "wpb": "64", "bsz": "64", "num_updates": "8740", "lr": "5.82738e-05", "gnorm": "9.033", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "1723"} +2023-01-29 16:40:28 | INFO | train_inner | {"epoch": 5, "update": 4.048, "s2c_loss": "1.369", "loss": "0.94895", "s2c_nll_loss": "1.369", "s2c_accuracy": "84.688", "s2c_total": "64", "s2c_n_correct": "54.2", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "8750", "lr": "5.83404e-05", "gnorm": "8.898", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "1726"} +2023-01-29 16:40:31 | INFO | train_inner | {"epoch": 5, 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16:43:15 | INFO | train_inner | {"epoch": 5, "update": 4.353, "s2c_loss": "1.006", "loss": "0.69706", "s2c_nll_loss": "1.006", "s2c_accuracy": "86.875", "s2c_total": "64", "s2c_n_correct": "55.6", "wps": "253.6", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "9410", "lr": "6.27402e-05", "gnorm": "8.734", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "1893"} +2023-01-29 16:43:18 | INFO | train_inner | {"epoch": 5, "update": 4.358, "s2c_loss": "0.958", "loss": "0.6642", "s2c_nll_loss": "0.958", "s2c_accuracy": "87.812", "s2c_total": "64", "s2c_n_correct": "56.2", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "9420", "lr": "6.28069e-05", "gnorm": "8.917", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "1895"} +2023-01-29 16:43:20 | INFO | train_inner | {"epoch": 5, "update": 4.362, "s2c_loss": "1.073", "loss": "0.74388", "s2c_nll_loss": "1.073", "s2c_accuracy": "85.625", "s2c_total": "64", "s2c_n_correct": 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fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 5 @ 10809 updates, score None) (writing took 7.132177956867963 seconds) +2023-01-29 16:49:18 | INFO | fairseq_cli.train | end of epoch 5 (average epoch stats below) +2023-01-29 16:49:18 | INFO | train | {"epoch": 5, "train_s2c_loss": "1.1", "train_loss": "0.76226", "train_s2c_nll_loss": "1.1", "train_s2c_accuracy": "84.949", "train_s2c_total": "63.9838", "train_s2c_n_correct": "54.3538", "train_wps": "245.9", "train_ups": "3.84", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "10809", "train_lr": "7.20664e-05", "train_gnorm": "9.837", "train_loss_scale": "1024", "train_train_wall": "541", "train_gb_free": "7.5", "train_wall": "2256"} +2023-01-29 16:49:24 | INFO | fairseq.trainer | begin training epoch 6 +2023-01-29 16:49:24 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 16:49:24 | INFO | train_inner | {"epoch": 6, "update": 5.0, 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"s2c_loss": "0.723", "loss": "0.50125", "s2c_nll_loss": "0.723", "s2c_accuracy": "89.531", "s2c_total": "64", "s2c_n_correct": "57.3", "wps": "248.7", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "11700", "lr": "7.80061e-05", "gnorm": "8.07", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "2489"} +2023-01-29 16:53:14 | INFO | train_inner | {"epoch": 6, "update": 5.417, "s2c_loss": "0.849", "loss": "0.58842", "s2c_nll_loss": "0.849", "s2c_accuracy": "86.875", "s2c_total": "64", "s2c_n_correct": "55.6", "wps": "256.9", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "11710", "lr": "7.80728e-05", "gnorm": "9.541", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "2492"} +2023-01-29 16:53:16 | INFO | train_inner | {"epoch": 6, "update": 5.421, "s2c_loss": "0.652", "loss": "0.45188", "s2c_nll_loss": "0.652", "s2c_accuracy": "91.094", "s2c_total": "64", "s2c_n_correct": "58.3", "wps": "254", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "11720", "lr": "7.81394e-05", "gnorm": "8.921", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "2494"} +2023-01-29 16:53:19 | INFO | train_inner | {"epoch": 6, "update": 5.426, "s2c_loss": "0.853", "loss": "0.59107", "s2c_nll_loss": "0.853", "s2c_accuracy": "89.531", "s2c_total": "64", "s2c_n_correct": "57.3", "wps": "255.6", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "11730", "lr": "7.82061e-05", "gnorm": "7.982", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "2497"} +2023-01-29 16:53:21 | INFO | train_inner | {"epoch": 6, "update": 5.431, "s2c_loss": "0.737", "loss": "0.51061", "s2c_nll_loss": "0.737", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "251.2", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "11740", "lr": "7.82728e-05", "gnorm": "9.328", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "2499"} +2023-01-29 16:53:24 | INFO | train_inner | {"epoch": 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"s2c_nll_loss": "0.906", "s2c_accuracy": "86.094", "s2c_total": "64", "s2c_n_correct": "55.1", "wps": "246.3", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "11770", "lr": "7.84727e-05", "gnorm": "9.852", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "2507"} +2023-01-29 16:53:32 | INFO | train_inner | {"epoch": 6, "update": 5.45, "s2c_loss": "0.879", "loss": "0.60925", "s2c_nll_loss": "0.879", "s2c_accuracy": "88.125", "s2c_total": "64", "s2c_n_correct": "56.4", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "11780", "lr": "7.85394e-05", "gnorm": "10.018", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "2510"} +2023-01-29 16:53:34 | INFO | train_inner | {"epoch": 6, "update": 5.454, "s2c_loss": "0.781", "loss": "0.54132", "s2c_nll_loss": "0.781", "s2c_accuracy": "87.812", "s2c_total": "64", "s2c_n_correct": "56.2", "wps": "251.8", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "11790", "lr": 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"s2c_loss": "0.944", "loss": "0.65451", "s2c_nll_loss": "0.944", "s2c_accuracy": "85.781", "s2c_total": "64", "s2c_n_correct": "54.9", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "11820", "lr": "7.88061e-05", "gnorm": "9.457", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "2520"} +2023-01-29 16:53:45 | INFO | train_inner | {"epoch": 6, "update": 5.473, "s2c_loss": "0.791", "loss": "0.54834", "s2c_nll_loss": "0.791", "s2c_accuracy": "88.594", "s2c_total": "64", "s2c_n_correct": "56.7", "wps": "254.4", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "11830", "lr": "7.88727e-05", "gnorm": "9.015", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "2522"} +2023-01-29 16:53:47 | INFO | train_inner | {"epoch": 6, "update": 5.477, "s2c_loss": "0.721", "loss": "0.50001", "s2c_nll_loss": "0.721", "s2c_accuracy": "88.281", "s2c_total": "64", "s2c_n_correct": "56.5", "wps": "255", "ups": "3.98", "wpb": "64", "bsz": "64", 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train_inner | {"epoch": 6, "update": 5.537, "s2c_loss": "0.821", "loss": "0.56912", "s2c_nll_loss": "0.821", "s2c_accuracy": "88.438", "s2c_total": "64", "s2c_n_correct": "56.6", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "11970", "lr": "7.9806e-05", "gnorm": "9.14", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "2558"} +2023-01-29 16:54:22 | INFO | train_inner | {"epoch": 6, "update": 5.542, "s2c_loss": "1.015", "loss": "0.70369", "s2c_nll_loss": "1.015", "s2c_accuracy": "86.406", "s2c_total": "64", "s2c_n_correct": "55.3", "wps": "253.9", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "11980", "lr": "7.98727e-05", "gnorm": "9.707", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "2560"} +2023-01-29 16:54:25 | INFO | train_inner | {"epoch": 6, "update": 5.547, "s2c_loss": "0.743", "loss": "0.51499", "s2c_nll_loss": "0.743", "s2c_accuracy": "87.656", "s2c_total": "64", "s2c_n_correct": "56.1", "wps": "253.3", 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16:54:33 | INFO | train_inner | {"epoch": 6, "update": 5.561, "s2c_loss": "0.761", "loss": "0.52774", "s2c_nll_loss": "0.761", "s2c_accuracy": "88.125", "s2c_total": "64", "s2c_n_correct": "56.4", "wps": "251.2", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "12020", "lr": "8.01393e-05", "gnorm": "9.948", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "2571"} +2023-01-29 16:54:35 | INFO | train_inner | {"epoch": 6, "update": 5.565, "s2c_loss": "0.891", "loss": "0.61781", "s2c_nll_loss": "0.891", "s2c_accuracy": "86.719", "s2c_total": "64", "s2c_n_correct": "55.5", "wps": "258.4", "ups": "4.04", "wpb": "64", "bsz": "64", "num_updates": "12030", "lr": "8.0206e-05", "gnorm": "9.106", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "2573"} +2023-01-29 16:54:38 | INFO | train_inner | {"epoch": 6, "update": 5.57, "s2c_loss": "0.907", "loss": "0.62876", "s2c_nll_loss": "0.907", "s2c_accuracy": "88.281", "s2c_total": "64", "s2c_n_correct": 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"s2c_n_correct": "57.9", "wps": "249", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "12090", "lr": "8.0606e-05", "gnorm": "8.363", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "2588"} +2023-01-29 16:54:53 | INFO | train_inner | {"epoch": 6, "update": 5.598, "s2c_loss": "0.832", "loss": "0.57676", "s2c_nll_loss": "0.832", "s2c_accuracy": "86.094", "s2c_total": "64", "s2c_n_correct": "55.1", "wps": "249.2", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "12100", "lr": "8.06726e-05", "gnorm": "11.347", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "2591"} +2023-01-29 16:54:56 | INFO | train_inner | {"epoch": 6, "update": 5.602, "s2c_loss": "0.807", "loss": "0.55938", "s2c_nll_loss": "0.807", "s2c_accuracy": "87.812", "s2c_total": "64", "s2c_n_correct": "56.2", "wps": "252.3", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "12110", "lr": "8.07393e-05", "gnorm": "10.096", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "2593"} +2023-01-29 16:54:58 | INFO | train_inner | {"epoch": 6, "update": 5.607, "s2c_loss": "0.786", "loss": "0.54462", "s2c_nll_loss": "0.786", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "259.2", "ups": "4.05", "wpb": "64", "bsz": "64", "num_updates": "12120", "lr": "8.0806e-05", "gnorm": "8.743", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "2596"} +2023-01-29 16:55:01 | INFO | train_inner | {"epoch": 6, "update": 5.611, "s2c_loss": "0.878", "loss": "0.6083", "s2c_nll_loss": "0.878", "s2c_accuracy": "87.031", "s2c_total": "64", "s2c_n_correct": "55.7", "wps": "253.6", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "12130", "lr": "8.08726e-05", "gnorm": "10.013", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "2598"} +2023-01-29 16:55:03 | INFO | train_inner | {"epoch": 6, "update": 5.616, "s2c_loss": "0.848", "loss": "0.58785", "s2c_nll_loss": "0.848", "s2c_accuracy": 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"1024", "train_wall": "2", "gb_free": "7.3", "wall": "2606"} +2023-01-29 16:55:11 | INFO | train_inner | {"epoch": 6, "update": 5.63, "s2c_loss": "0.895", "loss": "0.6207", "s2c_nll_loss": "0.895", "s2c_accuracy": "87.188", "s2c_total": "64", "s2c_n_correct": "55.8", "wps": "251.8", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "12170", "lr": "8.11393e-05", "gnorm": "9.458", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "2609"} +2023-01-29 16:55:13 | INFO | train_inner | {"epoch": 6, "update": 5.635, "s2c_loss": "0.649", "loss": "0.44962", "s2c_nll_loss": "0.649", "s2c_accuracy": "88.125", "s2c_total": "64", "s2c_n_correct": "56.4", "wps": "253.9", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "12180", "lr": "8.12059e-05", "gnorm": "8.572", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.4", "wall": "2611"} +2023-01-29 16:55:16 | INFO | train_inner | {"epoch": 6, "update": 5.639, "s2c_loss": "0.769", "loss": "0.53297", "s2c_nll_loss": 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"loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "2650"} +2023-01-29 16:55:54 | INFO | train_inner | {"epoch": 6, "update": 5.709, "s2c_loss": "0.803", "loss": "0.55626", "s2c_nll_loss": "0.803", "s2c_accuracy": "86.562", "s2c_total": "64", "s2c_n_correct": "55.4", "wps": "247.1", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "12340", "lr": "8.22726e-05", "gnorm": "9.131", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "2652"} +2023-01-29 16:55:57 | INFO | train_inner | {"epoch": 6, "update": 5.714, "s2c_loss": "0.745", "loss": "0.51644", "s2c_nll_loss": "0.745", "s2c_accuracy": "88.125", "s2c_total": "64", "s2c_n_correct": "56.4", "wps": "248.3", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "12350", "lr": "8.23392e-05", "gnorm": "9.053", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "2655"} +2023-01-29 16:56:00 | INFO | train_inner | {"epoch": 6, "update": 5.718, "s2c_loss": "0.797", "loss": "0.55233", 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{"epoch": 6, "update": 5.788, "s2c_loss": "0.753", "loss": "0.52172", "s2c_nll_loss": "0.753", "s2c_accuracy": "89.062", "s2c_total": "64", "s2c_n_correct": "57", "wps": "248.7", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "12510", "lr": "8.34058e-05", "gnorm": "10.452", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "2696"} +2023-01-29 16:56:40 | INFO | train_inner | {"epoch": 6, "update": 5.792, "s2c_loss": "0.87", "loss": "0.6031", "s2c_nll_loss": "0.87", "s2c_accuracy": "87.188", "s2c_total": "64", "s2c_n_correct": "55.8", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "12520", "lr": "8.34725e-05", "gnorm": "10.542", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "2698"} +2023-01-29 16:56:43 | INFO | train_inner | {"epoch": 6, "update": 5.797, "s2c_loss": "0.717", "loss": "0.49722", "s2c_nll_loss": "0.717", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "255.7", "ups": "4", "wpb": 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/home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 6 @ 12969 updates, score None) (writing took 6.885793385095894 seconds) +2023-01-29 16:58:41 | INFO | fairseq_cli.train | end of epoch 6 (average epoch stats below) +2023-01-29 16:58:41 | INFO | train | {"epoch": 6, "train_s2c_loss": "0.8", "train_loss": "0.55449", "train_s2c_nll_loss": "0.8", "train_s2c_accuracy": "88.062", "train_s2c_total": "63.9838", "train_s2c_n_correct": "56.3454", "train_wps": "245.3", "train_ups": "3.83", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "12969", "train_lr": "8.64657e-05", "train_gnorm": "9.487", "train_loss_scale": "512", "train_train_wall": "543", "train_gb_free": "7.5", "train_wall": "2819"} +2023-01-29 16:58:48 | INFO | fairseq.trainer | begin training epoch 7 +2023-01-29 16:58:48 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 16:58:48 | INFO | train_inner | {"epoch": 7, "update": 6.0, "s2c_loss": "0.753", "loss": "0.52228", 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"gb_free": "7.3", "wall": "3359"} +2023-01-29 17:07:44 | INFO | train_inner | {"epoch": 7, "update": 6.976, "s2c_loss": "0.818", "loss": "0.56667", "s2c_nll_loss": "0.818", "s2c_accuracy": "85.625", "s2c_total": "64", "s2c_n_correct": "54.8", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "15080", "lr": "0.000100538", "gnorm": "9.694", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "3362"} +2023-01-29 17:07:46 | INFO | train_inner | {"epoch": 7, "update": 6.981, "s2c_loss": "0.881", "loss": "0.61054", "s2c_nll_loss": "0.881", "s2c_accuracy": "85.625", "s2c_total": "64", "s2c_n_correct": "54.8", "wps": "248.7", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "15090", "lr": "0.000100605", "gnorm": "10.375", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "3364"} +2023-01-29 17:07:49 | INFO | train_inner | {"epoch": 7, "update": 6.986, "s2c_loss": "0.524", "loss": "0.36345", "s2c_nll_loss": "0.524", "s2c_accuracy": 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"train_wall": "3", "gb_free": "7.3", "wall": "3372"} +2023-01-29 17:07:56 | INFO | train_inner | {"epoch": 7, "update": 7.0, "s2c_loss": "0.831", "loss": "0.5759", "s2c_nll_loss": "0.831", "s2c_accuracy": "85.469", "s2c_total": "64", "s2c_n_correct": "54.7", "wps": "257.7", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "15130", "lr": "0.000100872", "gnorm": "9.596", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "3374"} +2023-01-29 17:07:57 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 7 @ 15131 updates +2023-01-29 17:07:57 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:08:03 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:08:03 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 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train_inner | {"epoch": 8, "update": 7.657, "s2c_loss": "0.699", "loss": "0.4844", "s2c_nll_loss": "0.699", "s2c_accuracy": "88.281", "s2c_total": "64", "s2c_n_correct": "56.5", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "16550", "lr": "0.000110338", "gnorm": "8.941", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "3748"} +2023-01-29 17:14:13 | INFO | train_inner | {"epoch": 8, "update": 7.661, "s2c_loss": "0.582", "loss": "0.40314", "s2c_nll_loss": "0.582", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": "57.7", "wps": "249.6", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "16560", "lr": "0.000110404", "gnorm": "9.556", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "3751"} +2023-01-29 17:14:16 | INFO | train_inner | {"epoch": 8, "update": 7.666, "s2c_loss": "0.474", "loss": "0.32883", "s2c_nll_loss": "0.474", "s2c_accuracy": "91.562", "s2c_total": "64", "s2c_n_correct": "58.6", "wps": "253.3", 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17:14:23 | INFO | train_inner | {"epoch": 8, "update": 7.68, "s2c_loss": "0.58", "loss": "0.40174", "s2c_nll_loss": "0.58", "s2c_accuracy": "89.531", "s2c_total": "64", "s2c_n_correct": "57.3", "wps": "246.2", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "16600", "lr": "0.000110671", "gnorm": "7.963", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "3761"} +2023-01-29 17:14:26 | INFO | train_inner | {"epoch": 8, "update": 7.685, "s2c_loss": "0.68", "loss": "0.47123", "s2c_nll_loss": "0.68", "s2c_accuracy": "89.375", "s2c_total": "64", "s2c_n_correct": "57.2", "wps": "257.6", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "16610", "lr": "0.000110738", "gnorm": "8.895", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "3764"} +2023-01-29 17:14:28 | INFO | train_inner | {"epoch": 8, "update": 7.689, "s2c_loss": "0.611", "loss": "0.42369", "s2c_nll_loss": "0.611", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", 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"train_wall": "3", "gb_free": "7.4", "wall": "3916"} +2023-01-29 17:17:01 | INFO | train_inner | {"epoch": 8, "update": 7.967, "s2c_loss": "0.655", "loss": "0.45394", "s2c_nll_loss": "0.655", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "249.5", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "17220", "lr": "0.000114804", "gnorm": "8.124", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.4", "wall": "3919"} +2023-01-29 17:17:04 | INFO | train_inner | {"epoch": 8, "update": 7.971, "s2c_loss": "0.656", "loss": "0.45495", "s2c_nll_loss": "0.656", "s2c_accuracy": "89.219", "s2c_total": "64", "s2c_n_correct": "57.1", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "17230", "lr": "0.000114871", "gnorm": "8.989", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "3921"} +2023-01-29 17:17:06 | INFO | train_inner | {"epoch": 8, "update": 7.976, "s2c_loss": "0.541", "loss": "0.37521", "s2c_nll_loss": "0.541", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "248.1", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "17240", "lr": "0.000114938", "gnorm": "8.241", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "3924"} +2023-01-29 17:17:09 | INFO | train_inner | {"epoch": 8, "update": 7.981, "s2c_loss": "0.541", "loss": "0.37521", "s2c_nll_loss": "0.541", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "254.4", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "17250", "lr": "0.000115004", "gnorm": "8.927", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.4", "wall": "3927"} +2023-01-29 17:17:11 | INFO | train_inner | {"epoch": 8, "update": 7.985, "s2c_loss": "0.726", "loss": "0.503", "s2c_nll_loss": "0.726", "s2c_accuracy": "88.906", "s2c_total": "64", "s2c_n_correct": "56.9", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "17260", "lr": "0.000115071", "gnorm": "8.174", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "3929"} +2023-01-29 17:17:14 | INFO | train_inner | {"epoch": 8, "update": 7.99, "s2c_loss": "0.547", "loss": "0.37921", "s2c_nll_loss": "0.547", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "249.5", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "17270", "lr": "0.000115138", "gnorm": "8.003", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "3932"} +2023-01-29 17:17:16 | INFO | train_inner | {"epoch": 8, "update": 7.994, "s2c_loss": "0.591", "loss": "0.40991", "s2c_nll_loss": "0.591", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "247.1", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "17280", "lr": "0.000115204", "gnorm": "8.382", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "3934"} +2023-01-29 17:17:19 | INFO | train_inner | {"epoch": 8, "update": 7.999, "s2c_loss": "0.746", "loss": "0.51703", "s2c_nll_loss": "0.746", "s2c_accuracy": "87.5", "s2c_total": "64", "s2c_n_correct": "56", "wps": "256.5", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "17290", "lr": "0.000115271", "gnorm": "9.922", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "3937"} +2023-01-29 17:17:19 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 8 @ 17292 updates +2023-01-29 17:17:19 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:17:26 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:17:26 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 8 @ 17292 updates, score None) (writing took 6.905499142128974 seconds) +2023-01-29 17:17:26 | INFO | fairseq_cli.train | end of epoch 8 (average epoch stats below) 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train_inner | {"epoch": 9, "update": 8.133, "s2c_loss": "0.662", "loss": "0.45898", "s2c_nll_loss": "0.662", "s2c_accuracy": "91.25", "s2c_total": "64", "s2c_n_correct": "58.4", "wps": "248.3", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "17580", "lr": "0.000117204", "gnorm": "7.831", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "4024"} +2023-01-29 17:18:49 | INFO | train_inner | {"epoch": 9, "update": 8.138, "s2c_loss": "0.469", "loss": "0.32535", "s2c_nll_loss": "0.469", "s2c_accuracy": "92.031", "s2c_total": "64", "s2c_n_correct": "58.9", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "17590", "lr": "0.000117271", "gnorm": "7.335", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.4", "wall": "4026"} +2023-01-29 17:18:51 | INFO | train_inner | {"epoch": 9, "update": 8.142, "s2c_loss": "0.714", "loss": "0.49522", "s2c_nll_loss": "0.714", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": "57.7", "wps": 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| train_inner | {"epoch": 9, "update": 8.374, "s2c_loss": "0.535", "loss": "0.371", "s2c_nll_loss": "0.535", "s2c_accuracy": "91.094", "s2c_total": "64", "s2c_n_correct": "58.3", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "18100", "lr": "0.000120671", "gnorm": "7.956", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "4156"} +2023-01-29 17:21:01 | INFO | train_inner | {"epoch": 9, "update": 8.378, "s2c_loss": "0.597", "loss": "0.41407", "s2c_nll_loss": "0.597", "s2c_accuracy": "88.281", "s2c_total": "64", "s2c_n_correct": "56.5", "wps": "254.7", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "18110", "lr": "0.000120737", "gnorm": "8.988", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "4158"} +2023-01-29 17:21:03 | INFO | train_inner | {"epoch": 9, "update": 8.383, "s2c_loss": "0.794", "loss": "0.55026", "s2c_nll_loss": "0.794", "s2c_accuracy": "87.031", "s2c_total": "64", "s2c_n_correct": "55.7", "wps": 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"0.000129537", "gnorm": "6.348", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "4493"} +2023-01-29 17:26:38 | INFO | train_inner | {"epoch": 9, "update": 8.994, "s2c_loss": "0.526", "loss": "0.36428", "s2c_nll_loss": "0.526", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "19440", "lr": "0.000129604", "gnorm": "6.994", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "4496"} +2023-01-29 17:26:41 | INFO | train_inner | {"epoch": 9, "update": 8.999, "s2c_loss": "0.54", "loss": "0.37407", "s2c_nll_loss": "0.54", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "245.6", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "19450", "lr": "0.00012967", "gnorm": "8.388", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "4499"} +2023-01-29 17:26:41 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 9 @ 19453 updates +2023-01-29 17:26:41 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:26:48 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:26:48 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 9 @ 19453 updates, score None) (writing took 7.05967228487134 seconds) +2023-01-29 17:26:48 | INFO | fairseq_cli.train | end of epoch 9 (average epoch stats below) +2023-01-29 17:26:48 | INFO | train | {"epoch": 9, "train_s2c_loss": "0.591", "train_loss": "0.40954", "train_s2c_nll_loss": "0.591", "train_s2c_accuracy": "89.951", "train_s2c_total": "63.9838", "train_s2c_n_correct": "57.5539", "train_wps": "246", "train_ups": "3.84", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "19453", "train_lr": "0.00012969", "train_gnorm": 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| train_inner | {"epoch": 10, "update": 9.16, "s2c_loss": "0.436", "loss": "0.30245", "s2c_nll_loss": "0.436", "s2c_accuracy": "93.125", "s2c_total": "64", "s2c_n_correct": "59.6", "wps": "250.6", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "19800", "lr": "0.000132003", "gnorm": "6.632", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "4601"} +2023-01-29 17:28:26 | INFO | train_inner | {"epoch": 10, "update": 9.165, "s2c_loss": "0.443", "loss": "0.30679", "s2c_nll_loss": "0.443", "s2c_accuracy": "91.875", "s2c_total": "64", "s2c_n_correct": "58.8", "wps": "253.5", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "19810", "lr": "0.00013207", "gnorm": "6.768", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "4603"} +2023-01-29 17:28:28 | INFO | train_inner | {"epoch": 10, "update": 9.17, "s2c_loss": "0.587", "loss": "0.40668", "s2c_nll_loss": "0.587", "s2c_accuracy": "90.312", "s2c_total": "64", "s2c_n_correct": "57.8", "wps": 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"s2c_n_correct": "57.2", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "19870", "lr": "0.00013247", "gnorm": "7.721", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "4619"} +2023-01-29 17:28:43 | INFO | train_inner | {"epoch": 10, "update": 9.198, "s2c_loss": "0.576", "loss": "0.39941", "s2c_nll_loss": "0.576", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "252.4", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "19880", "lr": "0.000132537", "gnorm": "7.168", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "4621"} +2023-01-29 17:28:46 | INFO | train_inner | {"epoch": 10, "update": 9.202, "s2c_loss": "0.494", "loss": "0.34265", "s2c_nll_loss": "0.494", "s2c_accuracy": "92.656", "s2c_total": "64", "s2c_n_correct": "59.3", "wps": "248.5", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "19890", "lr": "0.000132603", "gnorm": "7.861", "loss_scale": "512", "train_wall": "3", "gb_free": 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"s2c_total": "64", "s2c_n_correct": "57.2", "wps": "254", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "19920", "lr": "0.000132803", "gnorm": "8.099", "loss_scale": "512", "train_wall": "2", "gb_free": "7.4", "wall": "4631"} +2023-01-29 17:28:56 | INFO | train_inner | {"epoch": 10, "update": 9.221, "s2c_loss": "0.645", "loss": "0.44677", "s2c_nll_loss": "0.645", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "256.6", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "19930", "lr": "0.00013287", "gnorm": "7.194", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "4634"} +2023-01-29 17:28:58 | INFO | train_inner | {"epoch": 10, "update": 9.225, "s2c_loss": "0.608", "loss": "0.42176", "s2c_nll_loss": "0.608", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "259.2", "ups": "4.05", "wpb": "64", "bsz": "64", "num_updates": "19940", "lr": "0.000132937", "gnorm": "7.996", "loss_scale": "512", "train_wall": 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"train_wall": "3", "gb_free": "7.3", "wall": "4649"} +2023-01-29 17:29:14 | INFO | train_inner | {"epoch": 10, "update": 9.253, "s2c_loss": "0.55", "loss": "0.38098", "s2c_nll_loss": "0.55", "s2c_accuracy": "90.312", "s2c_total": "64", "s2c_n_correct": "57.8", "wps": "246", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "20000", "lr": "0.000133337", "gnorm": "8.151", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "4652"} +2023-01-29 17:29:14 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 17:29:28 | INFO | valid | {"epoch": 10, "valid_s2c_loss": "1.169", "valid_loss": "0.81009", "valid_s2c_nll_loss": "1.169", "valid_s2c_accuracy": "79.473", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "25.3981", "valid_num_updates": "20000"} +2023-01-29 17:29:28 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 10 @ 20000 updates +2023-01-29 17:29:28 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_10_20000.pt +2023-01-29 17:29:31 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_10_20000.pt +2023-01-29 17:29:37 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_10_20000.pt (epoch 10 @ 20000 updates, score 79.473) (writing took 9.000956175848842 seconds) +2023-01-29 17:29:40 | INFO | train_inner | {"epoch": 10, "update": 9.258, "s2c_loss": "0.601", "loss": "0.41649", "s2c_nll_loss": "0.601", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": "57.7", "wps": "24.7", "ups": "0.39", "wpb": "64", "bsz": "64", "num_updates": "20010", "lr": "0.000133403", "gnorm": "8.904", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "4678"} +2023-01-29 17:29:42 | INFO | train_inner | {"epoch": 10, "update": 9.262, "s2c_loss": "0.432", "loss": "0.29928", "s2c_nll_loss": "0.432", 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| train_inner | {"epoch": 10, "update": 9.984, "s2c_loss": "0.477", "loss": "0.33097", "s2c_nll_loss": "0.477", "s2c_accuracy": "92.5", "s2c_total": "64", "s2c_n_correct": "59.2", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "21580", "lr": "0.000143869", "gnorm": "6.534", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "5076"} +2023-01-29 17:36:21 | INFO | train_inner | {"epoch": 10, "update": 9.988, "s2c_loss": "0.631", "loss": "0.43738", "s2c_nll_loss": "0.631", "s2c_accuracy": "89.531", "s2c_total": "64", "s2c_n_correct": "57.3", "wps": "255.9", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "21590", "lr": "0.000143936", "gnorm": "7.557", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "5079"} +2023-01-29 17:36:23 | INFO | train_inner | {"epoch": 10, "update": 9.993, "s2c_loss": "0.655", "loss": "0.45405", "s2c_nll_loss": "0.655", "s2c_accuracy": "88.281", "s2c_total": "64", "s2c_n_correct": "56.5", "wps": 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| fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 10 @ 21615 updates +2023-01-29 17:36:41 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:36:48 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:36:48 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 10 @ 21615 updates, score 79.226) (writing took 7.114160731900483 seconds) +2023-01-29 17:36:48 | INFO | fairseq_cli.train | end of epoch 10 (average epoch stats below) +2023-01-29 17:36:49 | INFO | train | {"epoch": 10, "train_s2c_loss": "0.571", "train_loss": "0.39587", "train_s2c_nll_loss": "0.571", "train_s2c_accuracy": "90.133", "train_s2c_total": "63.9838", "train_s2c_n_correct": "57.6707", "train_wps": "230.5", "train_ups": "3.6", "train_wpb": "64", "train_bsz": "64", 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"bsz": "64", "num_updates": "21630", "lr": "0.000144203", "gnorm": "7.451", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "5117"} +2023-01-29 17:37:01 | INFO | train_inner | {"epoch": 11, "update": 10.012, "s2c_loss": "0.467", "loss": "0.32347", "s2c_nll_loss": "0.467", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "250.5", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "21640", "lr": "0.000144269", "gnorm": "7.649", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.4", "wall": "5119"} +2023-01-29 17:37:04 | INFO | train_inner | {"epoch": 11, "update": 10.016, "s2c_loss": "0.569", "loss": "0.39419", "s2c_nll_loss": "0.569", "s2c_accuracy": "90.312", "s2c_total": "64", "s2c_n_correct": "57.8", "wps": "248.4", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "21650", "lr": "0.000144336", "gnorm": "8.455", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "5122"} +2023-01-29 17:37:06 | INFO | train_inner | {"epoch": 11, "update": 10.021, "s2c_loss": "0.585", "loss": "0.40577", "s2c_nll_loss": "0.585", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "250.9", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "21660", "lr": "0.000144403", "gnorm": "8.152", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "5124"} +2023-01-29 17:37:09 | INFO | train_inner | {"epoch": 11, "update": 10.025, "s2c_loss": "0.534", "loss": "0.37037", "s2c_nll_loss": "0.534", "s2c_accuracy": "90.312", "s2c_total": "64", "s2c_n_correct": "57.8", "wps": "250", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "21670", "lr": "0.000144469", "gnorm": "7.054", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "5127"} +2023-01-29 17:37:12 | INFO | train_inner | {"epoch": 11, "update": 10.03, "s2c_loss": "0.42", "loss": "0.29092", "s2c_nll_loss": "0.42", "s2c_accuracy": "92.656", "s2c_total": "64", "s2c_n_correct": "59.3", "wps": 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17:41:11 | INFO | train_inner | {"epoch": 11, "update": 10.465, "s2c_loss": "0.571", "loss": "0.39611", "s2c_nll_loss": "0.571", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "251.5", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "22620", "lr": "0.000150802", "gnorm": "7.854", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5369"} +2023-01-29 17:41:13 | INFO | train_inner | {"epoch": 11, "update": 10.469, "s2c_loss": "0.548", "loss": "0.38014", "s2c_nll_loss": "0.548", "s2c_accuracy": "89.531", "s2c_total": "64", "s2c_n_correct": "57.3", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "22630", "lr": "0.000150869", "gnorm": "7.765", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5371"} +2023-01-29 17:41:16 | INFO | train_inner | {"epoch": 11, "update": 10.474, "s2c_loss": "0.532", "loss": "0.36845", "s2c_nll_loss": "0.532", "s2c_accuracy": "90.469", "s2c_total": "64", 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| INFO | train_inner | {"epoch": 11, "update": 10.909, "s2c_loss": "0.625", "loss": "0.43337", "s2c_nll_loss": "0.625", "s2c_accuracy": "89.219", "s2c_total": "64", "s2c_n_correct": "57.1", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "23580", "lr": "0.000157202", "gnorm": "7.672", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5613"} +2023-01-29 17:45:18 | INFO | train_inner | {"epoch": 11, "update": 10.914, "s2c_loss": "0.709", "loss": "0.49111", "s2c_nll_loss": "0.709", "s2c_accuracy": "88.125", "s2c_total": "64", "s2c_n_correct": "56.4", "wps": "251.9", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "23590", "lr": "0.000157269", "gnorm": "7.556", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5616"} +2023-01-29 17:45:20 | INFO | train_inner | {"epoch": 11, "update": 10.918, "s2c_loss": "0.643", "loss": "0.44545", "s2c_nll_loss": "0.643", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": 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"0.000158469", "gnorm": "6.521", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5662"} +2023-01-29 17:46:05 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 17:46:20 | INFO | valid | {"epoch": 11, "valid_s2c_loss": "1.076", "valid_loss": "0.74605", "valid_s2c_nll_loss": "1.076", "valid_s2c_accuracy": "81.037", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "25.8981", "valid_num_updates": "23777", "valid_best_s2c_accuracy": "81.037"} +2023-01-29 17:46:20 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 11 @ 23777 updates +2023-01-29 17:46:20 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 17:46:27 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 17:46:31 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 11 @ 23777 updates, score 81.037) (writing took 11.540756722912192 seconds) +2023-01-29 17:46:31 | INFO | fairseq_cli.train | end of epoch 11 (average epoch stats below) +2023-01-29 17:46:31 | INFO | train | {"epoch": 11, "train_s2c_loss": "0.545", "train_loss": "0.37758", "train_s2c_nll_loss": "0.545", "train_s2c_accuracy": "90.33", "train_s2c_total": "63.9838", "train_s2c_n_correct": "57.7965", "train_wps": "237.3", "train_ups": "3.71", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "23777", "train_lr": "0.000158515", "train_gnorm": "7.447", "train_loss_scale": "2048", "train_train_wall": "543", "train_gb_free": "7.5", "train_wall": "5689"} +2023-01-29 17:46:38 | INFO | fairseq.trainer | begin training epoch 12 +2023-01-29 17:46:38 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 17:46:39 | INFO | train_inner | {"epoch": 12, "update": 11.001, "s2c_loss": "0.491", "loss": 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17:47:17 | INFO | train_inner | {"epoch": 12, "update": 11.071, "s2c_loss": "0.629", "loss": "0.43601", "s2c_nll_loss": "0.629", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "250.8", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "23930", "lr": "0.000159535", "gnorm": "7.494", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5735"} +2023-01-29 17:47:20 | INFO | train_inner | {"epoch": 12, "update": 11.075, "s2c_loss": "0.574", "loss": "0.39814", "s2c_nll_loss": "0.574", "s2c_accuracy": "89.219", "s2c_total": "64", "s2c_n_correct": "57.1", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "23940", "lr": "0.000159602", "gnorm": "9.164", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5738"} +2023-01-29 17:47:22 | INFO | train_inner | {"epoch": 12, "update": 11.08, "s2c_loss": "0.599", "loss": "0.4151", "s2c_nll_loss": "0.599", "s2c_accuracy": "89.219", "s2c_total": "64", "s2c_n_correct": 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"wall": "5745"} +2023-01-29 17:47:30 | INFO | train_inner | {"epoch": 12, "update": 11.094, "s2c_loss": "0.344", "loss": "0.23862", "s2c_nll_loss": "0.344", "s2c_accuracy": "94.219", "s2c_total": "64", "s2c_n_correct": "60.3", "wps": "242", "ups": "3.78", "wpb": "64", "bsz": "64", "num_updates": "23980", "lr": "0.000159869", "gnorm": "5.857", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5748"} +2023-01-29 17:47:32 | INFO | train_inner | {"epoch": 12, "update": 11.099, "s2c_loss": "0.499", "loss": "0.34602", "s2c_nll_loss": "0.499", "s2c_accuracy": "90.312", "s2c_total": "64", "s2c_n_correct": "57.8", "wps": "249.7", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "23990", "lr": "0.000159935", "gnorm": "7.268", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "5750"} +2023-01-29 17:47:35 | INFO | train_inner | {"epoch": 12, "update": 11.103, "s2c_loss": "0.396", "loss": "0.27439", "s2c_nll_loss": "0.396", "s2c_accuracy": "92.656", "s2c_total": "64", "s2c_n_correct": "59.3", "wps": "255", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "24000", "lr": "0.000160002", "gnorm": "6.498", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "5753"} +2023-01-29 17:47:38 | INFO | train_inner | {"epoch": 12, "update": 11.108, "s2c_loss": "0.516", "loss": "0.35781", "s2c_nll_loss": "0.516", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "244.5", "ups": "3.82", "wpb": "64", "bsz": "64", "num_updates": "24010", "lr": "0.000160069", "gnorm": "6.022", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5755"} +2023-01-29 17:47:40 | INFO | train_inner | {"epoch": 12, "update": 11.112, "s2c_loss": "0.382", "loss": "0.26501", "s2c_nll_loss": "0.382", "s2c_accuracy": "92.969", "s2c_total": "64", "s2c_n_correct": "59.5", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "24020", "lr": "0.000160135", "gnorm": "5.685", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5758"} +2023-01-29 17:47:43 | INFO | train_inner | {"epoch": 12, "update": 11.117, "s2c_loss": "0.504", "loss": "0.34939", "s2c_nll_loss": "0.504", "s2c_accuracy": "90.469", "s2c_total": "64", "s2c_n_correct": "57.9", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "24030", "lr": "0.000160202", "gnorm": "7.095", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "5761"} +2023-01-29 17:47:45 | INFO | train_inner | {"epoch": 12, "update": 11.122, "s2c_loss": "0.426", "loss": "0.29556", "s2c_nll_loss": "0.426", "s2c_accuracy": "91.875", "s2c_total": "64", "s2c_n_correct": "58.8", "wps": "253.6", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "24040", "lr": "0.000160269", "gnorm": "6.722", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "5763"} +2023-01-29 17:47:48 | INFO | train_inner | {"epoch": 12, "update": 11.126, "s2c_loss": "0.49", "loss": "0.33964", "s2c_nll_loss": 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"s2c_loss": "0.489", "loss": "0.33911", "s2c_nll_loss": "0.489", "s2c_accuracy": "91.406", "s2c_total": "64", "s2c_n_correct": "58.5", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "24470", "lr": "0.000163135", "gnorm": "6.073", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "5872"} +2023-01-29 17:49:36 | INFO | train_inner | {"epoch": 12, "update": 11.325, "s2c_loss": "0.407", "loss": "0.28238", "s2c_nll_loss": "0.407", "s2c_accuracy": "93.125", "s2c_total": "64", "s2c_n_correct": "59.6", "wps": "252.4", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "24480", "lr": "0.000163202", "gnorm": "5.83", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.4", "wall": "5874"} +2023-01-29 17:49:39 | INFO | train_inner | {"epoch": 12, "update": 11.33, "s2c_loss": "0.414", "loss": "0.28709", "s2c_nll_loss": "0.414", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "256", "ups": "4", "wpb": "64", "bsz": "64", 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"lr": "0.000163735", "gnorm": "6.85", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "5895"} +2023-01-29 17:49:59 | INFO | train_inner | {"epoch": 12, "update": 11.367, "s2c_loss": "0.439", "loss": "0.30421", "s2c_nll_loss": "0.439", "s2c_accuracy": "92.031", "s2c_total": "64", "s2c_n_correct": "58.9", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "24570", "lr": "0.000163802", "gnorm": "6.809", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5897"} +2023-01-29 17:50:02 | INFO | train_inner | {"epoch": 12, "update": 11.372, "s2c_loss": "0.548", "loss": "0.37969", "s2c_nll_loss": "0.548", "s2c_accuracy": "90.625", "s2c_total": "64", "s2c_n_correct": "58", "wps": "249.5", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "24580", "lr": "0.000163868", "gnorm": "6.977", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5900"} +2023-01-29 17:50:04 | INFO | train_inner | {"epoch": 12, "update": 11.377, "s2c_loss": "0.382", "loss": "0.26505", "s2c_nll_loss": "0.382", "s2c_accuracy": "92.188", "s2c_total": "64", "s2c_n_correct": "59", "wps": "251.5", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "24590", "lr": "0.000163935", "gnorm": "6.168", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5902"} +2023-01-29 17:50:07 | INFO | train_inner | {"epoch": 12, "update": 11.381, "s2c_loss": "0.543", "loss": "0.37622", "s2c_nll_loss": "0.543", "s2c_accuracy": "89.531", "s2c_total": "64", "s2c_n_correct": "57.3", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "24600", "lr": "0.000164002", "gnorm": "6.89", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5905"} +2023-01-29 17:50:09 | INFO | train_inner | {"epoch": 12, "update": 11.386, "s2c_loss": "0.513", "loss": "0.35588", "s2c_nll_loss": "0.513", "s2c_accuracy": "90.781", "s2c_total": "64", "s2c_n_correct": "58.1", "wps": "256.6", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "24610", "lr": "0.000164068", "gnorm": "6.762", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "5907"} +2023-01-29 17:50:12 | INFO | train_inner | {"epoch": 12, "update": 11.39, "s2c_loss": "0.553", "loss": "0.38343", "s2c_nll_loss": "0.553", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "260.6", "ups": "4.07", "wpb": "64", "bsz": "64", "num_updates": "24620", "lr": "0.000164135", "gnorm": "6.766", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "5910"} +2023-01-29 17:50:14 | INFO | train_inner | {"epoch": 12, "update": 11.395, "s2c_loss": "0.466", "loss": "0.32298", "s2c_nll_loss": "0.466", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "255.6", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "24630", "lr": "0.000164202", "gnorm": "6.266", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "5912"} +2023-01-29 17:50:17 | INFO | train_inner | {"epoch": 12, "update": 11.4, "s2c_loss": "0.591", "loss": "0.40945", "s2c_nll_loss": "0.591", "s2c_accuracy": "89.062", "s2c_total": "64", "s2c_n_correct": "57", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "24640", "lr": "0.000164268", "gnorm": "7.518", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5915"} +2023-01-29 17:50:20 | INFO | train_inner | {"epoch": 12, "update": 11.404, "s2c_loss": "0.594", "loss": "0.41143", "s2c_nll_loss": "0.594", "s2c_accuracy": "88.906", "s2c_total": "64", "s2c_n_correct": "56.9", "wps": "251.6", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "24650", "lr": "0.000164335", "gnorm": "7.965", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "5917"} +2023-01-29 17:50:22 | INFO | train_inner | {"epoch": 12, "update": 11.409, "s2c_loss": "0.546", "loss": "0.37856", "s2c_nll_loss": "0.546", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": "57.7", "wps": "250.8", "ups": 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INFO | train_inner | {"epoch": 12, "update": 11.423, "s2c_loss": "0.58", "loss": "0.40174", "s2c_nll_loss": "0.58", "s2c_accuracy": "90.625", "s2c_total": "64", "s2c_n_correct": "58", "wps": "259.7", "ups": "4.06", "wpb": "64", "bsz": "64", "num_updates": "24690", "lr": "0.000164602", "gnorm": "7.021", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "5927"} +2023-01-29 17:50:32 | INFO | train_inner | {"epoch": 12, "update": 11.427, "s2c_loss": "0.563", "loss": "0.39004", "s2c_nll_loss": "0.563", "s2c_accuracy": "91.094", "s2c_total": "64", "s2c_n_correct": "58.3", "wps": "249", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "24700", "lr": "0.000164668", "gnorm": "6.947", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "5930"} +2023-01-29 17:50:35 | INFO | train_inner | {"epoch": 12, "update": 11.432, "s2c_loss": "0.651", "loss": "0.45152", "s2c_nll_loss": "0.651", "s2c_accuracy": "88.594", "s2c_total": "64", "s2c_n_correct": "56.7", "wps": 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17:54:45 | INFO | train_inner | {"epoch": 12, "update": 11.89, "s2c_loss": "0.513", "loss": "0.35541", "s2c_nll_loss": "0.513", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "251.2", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "25700", "lr": "0.000171335", "gnorm": "7.717", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6183"} +2023-01-29 17:54:47 | INFO | train_inner | {"epoch": 12, "update": 11.895, "s2c_loss": "0.501", "loss": "0.34749", "s2c_nll_loss": "0.501", "s2c_accuracy": "91.25", "s2c_total": "64", "s2c_n_correct": "58.4", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "25710", "lr": "0.000171401", "gnorm": "6.279", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "6185"} +2023-01-29 17:54:50 | INFO | train_inner | {"epoch": 12, "update": 11.899, "s2c_loss": "0.501", "loss": "0.34703", "s2c_nll_loss": "0.501", "s2c_accuracy": "90.781", "s2c_total": "64", "s2c_n_correct": 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"gnorm": "7.243", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "6218"} +2023-01-29 17:55:23 | INFO | train_inner | {"epoch": 12, "update": 11.959, "s2c_loss": "0.559", "loss": "0.38753", "s2c_nll_loss": "0.559", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "251.9", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "25850", "lr": "0.000172335", "gnorm": "6.94", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6221"} +2023-01-29 17:55:25 | INFO | train_inner | {"epoch": 12, "update": 11.964, "s2c_loss": "0.473", "loss": "0.32803", "s2c_nll_loss": "0.473", "s2c_accuracy": "92.812", "s2c_total": "64", "s2c_n_correct": "59.4", "wps": "247.2", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "25860", "lr": "0.000172401", "gnorm": "6.298", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6223"} +2023-01-29 17:55:28 | INFO | train_inner | {"epoch": 12, "update": 11.969, "s2c_loss": "0.53", "loss": "0.36747", "s2c_nll_loss": "0.53", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "249.9", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "25870", "lr": "0.000172468", "gnorm": "6.909", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6226"} +2023-01-29 17:55:31 | INFO | train_inner | {"epoch": 12, "update": 11.973, "s2c_loss": "0.489", "loss": "0.3387", "s2c_nll_loss": "0.489", "s2c_accuracy": "91.562", "s2c_total": "64", "s2c_n_correct": "58.6", "wps": "249.7", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "25880", "lr": "0.000172535", "gnorm": "6.442", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6229"} +2023-01-29 17:55:33 | INFO | train_inner | {"epoch": 12, "update": 11.978, "s2c_loss": "0.539", "loss": "0.37393", "s2c_nll_loss": "0.539", "s2c_accuracy": "89.531", "s2c_total": "64", "s2c_n_correct": "57.3", "wps": "250.1", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": 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11.992, "s2c_loss": "0.467", "loss": "0.32339", "s2c_nll_loss": "0.467", "s2c_accuracy": "91.562", "s2c_total": "64", "s2c_n_correct": "58.6", "wps": "248.3", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "25920", "lr": "0.000172801", "gnorm": "7.326", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6239"} +2023-01-29 17:55:43 | INFO | train_inner | {"epoch": 12, "update": 11.996, "s2c_loss": "0.578", "loss": "0.40079", "s2c_nll_loss": "0.578", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "247.3", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "25930", "lr": "0.000172868", "gnorm": "7.582", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6241"} +2023-01-29 17:55:45 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 17:56:00 | INFO | valid | {"epoch": 12, "valid_s2c_loss": "1.134", "valid_loss": "0.78598", "valid_s2c_nll_loss": "1.134", "valid_s2c_accuracy": "80.24", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "25.6435", "valid_num_updates": "25938", "valid_best_s2c_accuracy": "81.037"} +2023-01-29 17:56:00 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 12 @ 25938 updates +2023-01-29 17:56:00 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:56:07 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 17:56:07 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 12 @ 25938 updates, score 80.24) (writing took 6.953057246282697 seconds) +2023-01-29 17:56:07 | INFO | fairseq_cli.train | end of epoch 12 (average epoch stats below) +2023-01-29 17:56:07 | INFO | train | {"epoch": 12, "train_s2c_loss": "0.528", "train_loss": "0.36612", "train_s2c_nll_loss": "0.528", "train_s2c_accuracy": "90.579", "train_s2c_total": "63.9838", "train_s2c_n_correct": "57.956", "train_wps": "240.3", "train_ups": "3.76", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "25938", "train_lr": "0.000172921", "train_gnorm": "7.115", "train_loss_scale": "2048", "train_train_wall": "540", "train_gb_free": "7.4", "train_wall": "6265"} +2023-01-29 17:56:13 | INFO | fairseq.trainer | begin training epoch 13 +2023-01-29 17:56:13 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 17:56:14 | INFO | train_inner | {"epoch": 13, "update": 12.001, "s2c_loss": "0.679", "loss": "0.4706", "s2c_nll_loss": "0.679", "s2c_accuracy": "87.5", "s2c_total": "60.8", "s2c_n_correct": "53.2", "wps": "19.9", "ups": "0.33", "wpb": "60.8", "bsz": "60.8", "num_updates": "25940", "lr": "0.000172935", "gnorm": "7.83", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "6272"} +2023-01-29 17:56:16 | INFO | train_inner | {"epoch": 13, "update": 12.006, "s2c_loss": "0.494", "loss": "0.34247", "s2c_nll_loss": "0.494", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "245.4", "ups": "3.83", "wpb": "64", "bsz": "64", "num_updates": "25950", "lr": "0.000173001", "gnorm": "6.495", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6274"} +2023-01-29 17:56:19 | INFO | train_inner | {"epoch": 13, "update": 12.01, "s2c_loss": "0.72", "loss": "0.4988", "s2c_nll_loss": "0.72", "s2c_accuracy": "88.125", "s2c_total": "64", "s2c_n_correct": "56.4", "wps": "248.6", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "25960", "lr": "0.000173068", "gnorm": "7.153", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6277"} +2023-01-29 17:56:22 | INFO | train_inner | {"epoch": 13, "update": 12.015, "s2c_loss": "0.574", "loss": "0.39781", "s2c_nll_loss": "0.574", "s2c_accuracy": "91.875", "s2c_total": "64", "s2c_n_correct": "58.8", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "25970", "lr": "0.000173135", "gnorm": "5.741", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6279"} +2023-01-29 17:56:24 | INFO | train_inner | {"epoch": 13, "update": 12.019, "s2c_loss": "0.333", "loss": "0.23101", "s2c_nll_loss": "0.333", "s2c_accuracy": "93.438", "s2c_total": "64", "s2c_n_correct": "59.8", "wps": "247.1", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "25980", "lr": "0.000173201", "gnorm": "5.412", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6282"} +2023-01-29 17:56:27 | INFO | train_inner | {"epoch": 13, "update": 12.024, "s2c_loss": "0.474", "loss": "0.32824", "s2c_nll_loss": "0.474", "s2c_accuracy": "90.781", "s2c_total": "64", "s2c_n_correct": "58.1", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "25990", "lr": "0.000173268", "gnorm": "6.919", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6285"} +2023-01-29 17:56:29 | INFO | train_inner | {"epoch": 13, "update": 12.029, "s2c_loss": "0.456", "loss": "0.31619", "s2c_nll_loss": "0.456", "s2c_accuracy": "90.312", "s2c_total": "64", "s2c_n_correct": "57.8", "wps": "250.1", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "26000", "lr": "0.000173335", "gnorm": "7.019", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6287"} +2023-01-29 17:56:32 | INFO | train_inner | {"epoch": 13, "update": 12.033, "s2c_loss": "0.587", "loss": "0.40684", "s2c_nll_loss": "0.587", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "249.5", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "26010", "lr": "0.000173401", "gnorm": "6.87", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6290"} +2023-01-29 17:56:34 | INFO | train_inner | {"epoch": 13, "update": 12.038, "s2c_loss": "0.365", "loss": "0.25334", "s2c_nll_loss": "0.365", "s2c_accuracy": "93.281", "s2c_total": "64", "s2c_n_correct": "59.7", "wps": "251.1", "ups": 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INFO | train_inner | {"epoch": 13, "update": 12.052, "s2c_loss": "0.501", "loss": "0.34738", "s2c_nll_loss": "0.501", "s2c_accuracy": "91.25", "s2c_total": "64", "s2c_n_correct": "58.4", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "26050", "lr": "0.000173668", "gnorm": "6.71", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6300"} +2023-01-29 17:56:45 | INFO | train_inner | {"epoch": 13, "update": 12.056, "s2c_loss": "0.447", "loss": "0.30978", "s2c_nll_loss": "0.447", "s2c_accuracy": "92.812", "s2c_total": "64", "s2c_n_correct": "59.4", "wps": "251.6", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "26060", "lr": "0.000173735", "gnorm": "6.328", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6302"} +2023-01-29 17:56:47 | INFO | train_inner | {"epoch": 13, "update": 12.061, "s2c_loss": "0.387", "loss": "0.26852", "s2c_nll_loss": "0.387", "s2c_accuracy": "92.812", "s2c_total": "64", "s2c_n_correct": "59.4", 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17:58:03 | INFO | train_inner | {"epoch": 13, "update": 12.2, "s2c_loss": "0.5", "loss": "0.34686", "s2c_nll_loss": "0.5", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": "57.7", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "26370", "lr": "0.000175801", "gnorm": "6.535", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "6381"} +2023-01-29 17:58:06 | INFO | train_inner | {"epoch": 13, "update": 12.204, "s2c_loss": "0.502", "loss": "0.34777", "s2c_nll_loss": "0.502", "s2c_accuracy": "91.094", "s2c_total": "64", "s2c_n_correct": "58.3", "wps": "256.1", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "26380", "lr": "0.000175868", "gnorm": "6.807", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "6383"} +2023-01-29 17:58:08 | INFO | train_inner | {"epoch": 13, "update": 12.209, "s2c_loss": "0.573", "loss": "0.39696", "s2c_nll_loss": "0.573", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", 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"s2c_loss": "0.462", "loss": "0.31997", "s2c_nll_loss": "0.462", "s2c_accuracy": "91.562", "s2c_total": "64", "s2c_n_correct": "58.6", "wps": "249.7", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "26710", "lr": "0.000178068", "gnorm": "7.036", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6467"} +2023-01-29 17:59:32 | INFO | train_inner | {"epoch": 13, "update": 12.362, "s2c_loss": "0.591", "loss": "0.40987", "s2c_nll_loss": "0.591", "s2c_accuracy": "88.594", "s2c_total": "64", "s2c_n_correct": "56.7", "wps": "249.7", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "26720", "lr": "0.000178134", "gnorm": "7.737", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "6470"} +2023-01-29 17:59:35 | INFO | train_inner | {"epoch": 13, "update": 12.367, "s2c_loss": "0.584", "loss": "0.40492", "s2c_nll_loss": "0.584", "s2c_accuracy": "89.062", "s2c_total": "64", "s2c_n_correct": "57", "wps": "252.6", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "26730", "lr": "0.000178201", "gnorm": "7.72", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6473"} +2023-01-29 17:59:37 | INFO | train_inner | {"epoch": 13, "update": 12.371, "s2c_loss": "0.692", "loss": "0.47975", "s2c_nll_loss": "0.692", "s2c_accuracy": "87.656", "s2c_total": "64", "s2c_n_correct": "56.1", "wps": "249.2", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "26740", "lr": "0.000178268", "gnorm": "9.164", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "6475"} +2023-01-29 17:59:40 | INFO | train_inner | {"epoch": 13, "update": 12.376, "s2c_loss": "0.714", "loss": "0.49478", "s2c_nll_loss": "0.714", "s2c_accuracy": "87.5", "s2c_total": "64", "s2c_n_correct": "56", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "26750", "lr": "0.000178334", "gnorm": "7.927", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "6478"} +2023-01-29 17:59:42 | INFO | train_inner | {"epoch": 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| train_inner | {"epoch": 13, "update": 12.404, "s2c_loss": "0.63", "loss": "0.4366", "s2c_nll_loss": "0.63", "s2c_accuracy": "90.625", "s2c_total": "64", "s2c_n_correct": "58", "wps": "254.5", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "26810", "lr": "0.000178734", "gnorm": "6.561", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "6493"} +2023-01-29 17:59:57 | INFO | train_inner | {"epoch": 13, "update": 12.408, "s2c_loss": "0.563", "loss": "0.39057", "s2c_nll_loss": "0.563", "s2c_accuracy": "90.625", "s2c_total": "64", "s2c_n_correct": "58", "wps": "252.2", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "26820", "lr": "0.000178801", "gnorm": "7.382", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "6495"} +2023-01-29 18:00:00 | INFO | train_inner | {"epoch": 13, "update": 12.413, "s2c_loss": "0.573", "loss": "0.39684", "s2c_nll_loss": "0.573", "s2c_accuracy": "88.906", "s2c_total": "64", "s2c_n_correct": "56.9", "wps": 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"s2c_total": "64", "s2c_n_correct": "59", "wps": "262.2", "ups": "4.1", "wpb": "64", "bsz": "64", "num_updates": "27050", "lr": "0.000180334", "gnorm": "6.93", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "6554"} +2023-01-29 18:00:59 | INFO | train_inner | {"epoch": 13, "update": 12.52, "s2c_loss": "0.465", "loss": "0.32231", "s2c_nll_loss": "0.465", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "256.6", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "27060", "lr": "0.000180401", "gnorm": "7.114", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "6557"} +2023-01-29 18:01:01 | INFO | train_inner | {"epoch": 13, "update": 12.525, "s2c_loss": "0.559", "loss": "0.38768", "s2c_nll_loss": "0.559", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "255.3", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "27070", "lr": "0.000180468", "gnorm": "7.984", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "6559"} +2023-01-29 18:01:04 | INFO | train_inner | {"epoch": 13, "update": 12.529, "s2c_loss": "0.608", "loss": "0.42136", "s2c_nll_loss": "0.608", "s2c_accuracy": "89.062", "s2c_total": "64", "s2c_n_correct": "57", "wps": "248.7", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "27080", "lr": "0.000180534", "gnorm": "7.922", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "6562"} +2023-01-29 18:01:06 | INFO | train_inner | {"epoch": 13, "update": 12.534, "s2c_loss": "0.637", "loss": "0.44146", "s2c_nll_loss": "0.637", "s2c_accuracy": "88.281", "s2c_total": "64", "s2c_n_correct": "56.5", "wps": "257.7", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "27090", "lr": "0.000180601", "gnorm": "7.321", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.4", "wall": "6564"} +2023-01-29 18:01:09 | INFO | train_inner | {"epoch": 13, "update": 12.538, "s2c_loss": "0.564", "loss": "0.39115", "s2c_nll_loss": 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18:01:59 | INFO | train_inner | {"epoch": 13, "update": 12.631, "s2c_loss": "0.399", "loss": "0.27643", "s2c_nll_loss": "0.399", "s2c_accuracy": "93.438", "s2c_total": "64", "s2c_n_correct": "59.8", "wps": "255.2", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "27300", "lr": "0.000182001", "gnorm": "5.383", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "6617"} +2023-01-29 18:02:02 | INFO | train_inner | {"epoch": 13, "update": 12.636, "s2c_loss": "0.542", "loss": "0.37603", "s2c_nll_loss": "0.542", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "247", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "27310", "lr": "0.000182068", "gnorm": "7.127", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "6620"} +2023-01-29 18:02:04 | INFO | train_inner | {"epoch": 13, "update": 12.64, "s2c_loss": "0.515", "loss": "0.35724", "s2c_nll_loss": "0.515", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": 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"wall": "6627"} +2023-01-29 18:02:12 | INFO | train_inner | {"epoch": 13, "update": 12.654, "s2c_loss": "0.496", "loss": "0.3435", "s2c_nll_loss": "0.496", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "249.4", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "27350", "lr": "0.000182334", "gnorm": "7.424", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "6630"} +2023-01-29 18:02:14 | INFO | train_inner | {"epoch": 13, "update": 12.659, "s2c_loss": "0.53", "loss": "0.36771", "s2c_nll_loss": "0.53", "s2c_accuracy": "90.469", "s2c_total": "64", "s2c_n_correct": "57.9", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "27360", "lr": "0.000182401", "gnorm": "7.888", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "6632"} +2023-01-29 18:02:17 | INFO | train_inner | {"epoch": 13, "update": 12.663, "s2c_loss": "0.498", "loss": "0.34547", "s2c_nll_loss": "0.498", "s2c_accuracy": "90.938", 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"train_wall": "2", "gb_free": "7.2", "wall": "6640"} +2023-01-29 18:02:25 | INFO | train_inner | {"epoch": 13, "update": 12.677, "s2c_loss": "0.474", "loss": "0.32858", "s2c_nll_loss": "0.474", "s2c_accuracy": "89.688", "s2c_total": "64", "s2c_n_correct": "57.4", "wps": "248.9", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "27400", "lr": "0.000182668", "gnorm": "6.996", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "6643"} +2023-01-29 18:02:27 | INFO | train_inner | {"epoch": 13, "update": 12.682, "s2c_loss": "0.589", "loss": "0.40823", "s2c_nll_loss": "0.589", "s2c_accuracy": "89.219", "s2c_total": "64", "s2c_n_correct": "57.1", "wps": "256.4", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "27410", "lr": "0.000182734", "gnorm": "7.826", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "6645"} +2023-01-29 18:02:28 | INFO | fairseq.trainer | NOTE: gradient overflow detected, ignoring gradient, setting loss scale to: 512.0 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"train_wall": "2", "gb_free": "7.3", "wall": "6764"} +2023-01-29 18:04:28 | INFO | train_inner | {"epoch": 13, "update": 12.904, "s2c_loss": "0.399", "loss": "0.27659", "s2c_nll_loss": "0.399", "s2c_accuracy": "92.188", "s2c_total": "64", "s2c_n_correct": "59", "wps": "248.9", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "27890", "lr": "0.000185934", "gnorm": "6.049", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "6766"} +2023-01-29 18:04:31 | INFO | train_inner | {"epoch": 13, "update": 12.909, "s2c_loss": "0.832", "loss": "0.57669", "s2c_nll_loss": "0.832", "s2c_accuracy": "86.719", "s2c_total": "64", "s2c_n_correct": "55.5", "wps": "262", "ups": "4.09", "wpb": "64", "bsz": "64", "num_updates": "27900", "lr": "0.000186001", "gnorm": "7.1", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "6769"} +2023-01-29 18:04:33 | INFO | train_inner | {"epoch": 13, "update": 12.914, "s2c_loss": "0.534", "loss": "0.37042", "s2c_nll_loss": "0.534", 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"update": 12.983, "s2c_loss": "0.506", "loss": "0.35055", "s2c_nll_loss": "0.506", "s2c_accuracy": "92.344", "s2c_total": "64", "s2c_n_correct": "59.1", "wps": "251.2", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "28060", "lr": "0.000187067", "gnorm": "6.44", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "6809"} +2023-01-29 18:05:14 | INFO | train_inner | {"epoch": 13, "update": 12.988, "s2c_loss": "0.567", "loss": "0.39325", "s2c_nll_loss": "0.567", "s2c_accuracy": "90.312", "s2c_total": "64", "s2c_n_correct": "57.8", "wps": "249.6", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "28070", "lr": "0.000187134", "gnorm": "7.782", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "6812"} +2023-01-29 18:05:17 | INFO | train_inner | {"epoch": 13, "update": 12.992, "s2c_loss": "0.474", "loss": "0.32854", "s2c_nll_loss": "0.474", "s2c_accuracy": "90.781", "s2c_total": "64", "s2c_n_correct": "58.1", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "28080", "lr": "0.000187201", "gnorm": "8.052", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "6815"} +2023-01-29 18:05:19 | INFO | train_inner | {"epoch": 13, "update": 12.997, "s2c_loss": "0.411", "loss": "0.28489", "s2c_nll_loss": "0.411", "s2c_accuracy": "92.188", "s2c_total": "64", "s2c_n_correct": "59", "wps": "256.1", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "28090", "lr": "0.000187267", "gnorm": "8.086", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "6817"} +2023-01-29 18:05:21 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:05:35 | INFO | valid | {"epoch": 13, "valid_s2c_loss": "1.249", "valid_loss": "0.86549", "valid_s2c_nll_loss": "1.249", "valid_s2c_accuracy": "78.386", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "25.0509", "valid_num_updates": "28097", "valid_best_s2c_accuracy": "81.037"} +2023-01-29 18:05:35 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 13 @ 28097 updates +2023-01-29 18:05:35 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 18:05:43 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 18:05:43 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 13 @ 28097 updates, score 78.386) (writing took 7.509505259804428 seconds) +2023-01-29 18:05:43 | INFO | fairseq_cli.train | end of epoch 13 (average epoch stats below) +2023-01-29 18:05:43 | INFO | train | {"epoch": 13, "train_s2c_loss": "0.527", "train_loss": "0.36517", "train_s2c_nll_loss": "0.527", "train_s2c_accuracy": "90.547", "train_s2c_total": "63.9838", "train_s2c_n_correct": "57.9356", "train_wps": "239.8", "train_ups": "3.75", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "28097", 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14, "update": 13.043, "s2c_loss": "0.446", "loss": "0.30881", "s2c_nll_loss": "0.446", "s2c_accuracy": "91.875", "s2c_total": "64", "s2c_n_correct": "58.8", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "28190", "lr": "0.000187934", "gnorm": "7.509", "loss_scale": "512", "train_wall": "2", "gb_free": "7.4", "wall": "6871"} +2023-01-29 18:06:15 | INFO | train_inner | {"epoch": 14, "update": 13.048, "s2c_loss": "0.618", "loss": "0.42858", "s2c_nll_loss": "0.618", "s2c_accuracy": "88.906", "s2c_total": "64", "s2c_n_correct": "56.9", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "28200", "lr": "0.000188001", "gnorm": "7.03", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "6873"} +2023-01-29 18:06:18 | INFO | train_inner | {"epoch": 14, "update": 13.052, "s2c_loss": "0.419", "loss": "0.29035", "s2c_nll_loss": "0.419", "s2c_accuracy": "92.188", "s2c_total": "64", "s2c_n_correct": "59", "wps": "251", "ups": "3.92", "wpb": 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| {"epoch": 14, "update": 13.066, "s2c_loss": "0.591", "loss": "0.40935", "s2c_nll_loss": "0.591", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "252.6", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "28240", "lr": "0.000188267", "gnorm": "6.824", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "6884"} +2023-01-29 18:06:28 | INFO | train_inner | {"epoch": 14, "update": 13.071, "s2c_loss": "0.649", "loss": "0.44967", "s2c_nll_loss": "0.649", "s2c_accuracy": "88.281", "s2c_total": "64", "s2c_n_correct": "56.5", "wps": "252.9", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "28250", "lr": "0.000188334", "gnorm": "6.409", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "6886"} +2023-01-29 18:06:31 | INFO | train_inner | {"epoch": 14, "update": 13.075, "s2c_loss": "0.379", "loss": "0.26258", "s2c_nll_loss": "0.379", "s2c_accuracy": "92.656", "s2c_total": "64", "s2c_n_correct": "59.3", "wps": "246.2", 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18:06:38 | INFO | train_inner | {"epoch": 14, "update": 13.089, "s2c_loss": "0.395", "loss": "0.27351", "s2c_nll_loss": "0.395", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "256", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "28290", "lr": "0.000188601", "gnorm": "5.995", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "6896"} +2023-01-29 18:06:41 | INFO | train_inner | {"epoch": 14, "update": 13.094, "s2c_loss": "0.348", "loss": "0.24141", "s2c_nll_loss": "0.348", "s2c_accuracy": "93.75", "s2c_total": "64", "s2c_n_correct": "60", "wps": "251", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "28300", "lr": "0.000188667", "gnorm": "5.539", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "6899"} +2023-01-29 18:06:44 | INFO | train_inner | {"epoch": 14, "update": 13.099, "s2c_loss": "0.41", "loss": "0.28431", "s2c_nll_loss": "0.41", "s2c_accuracy": "94.219", "s2c_total": "64", "s2c_n_correct": "60.3", 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"s2c_loss": "0.59", "loss": "0.40915", "s2c_nll_loss": "0.59", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "28930", "lr": "0.000192867", "gnorm": "8.11", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "7060"} +2023-01-29 18:09:24 | INFO | train_inner | {"epoch": 14, "update": 13.39, "s2c_loss": "0.487", "loss": "0.33754", "s2c_nll_loss": "0.487", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "251.8", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "28940", "lr": "0.000192934", "gnorm": "6.173", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "7062"} +2023-01-29 18:09:27 | INFO | train_inner | {"epoch": 14, "update": 13.395, "s2c_loss": "0.505", "loss": "0.34978", "s2c_nll_loss": "0.505", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", 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13.876, "s2c_loss": "0.56", "loss": "0.38835", "s2c_nll_loss": "0.56", "s2c_accuracy": "89.375", "s2c_total": "64", "s2c_n_correct": "57.2", "wps": "252.2", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "29990", "lr": "0.000199933", "gnorm": "7.92", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "7330"} +2023-01-29 18:13:55 | INFO | train_inner | {"epoch": 14, "update": 13.881, "s2c_loss": "0.482", "loss": "0.33433", "s2c_nll_loss": "0.482", "s2c_accuracy": "91.406", "s2c_total": "64", "s2c_n_correct": "58.5", "wps": "244.4", "ups": "3.82", "wpb": "64", "bsz": "64", "num_updates": "30000", "lr": "0.0002", "gnorm": "6.871", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "7333"} +2023-01-29 18:13:55 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:14:10 | INFO | valid | {"epoch": 14, "valid_s2c_loss": "1.176", "valid_loss": "0.8149", "valid_s2c_nll_loss": "1.176", "valid_s2c_accuracy": "78.922", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "25.2222", "valid_num_updates": "30000", "valid_best_s2c_accuracy": "81.037"} +2023-01-29 18:14:10 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 14 @ 30000 updates +2023-01-29 18:14:10 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_14_30000.pt +2023-01-29 18:14:13 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_14_30000.pt +2023-01-29 18:14:18 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_14_30000.pt (epoch 14 @ 30000 updates, score 78.922) (writing took 8.41398049890995 seconds) +2023-01-29 18:14:21 | INFO | train_inner | {"epoch": 14, "update": 13.885, "s2c_loss": "0.519", "loss": "0.36009", "s2c_nll_loss": "0.519", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "25", "ups": 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INFO | train_inner | {"epoch": 14, "update": 13.899, "s2c_loss": "0.601", "loss": "0.41663", "s2c_nll_loss": "0.601", "s2c_accuracy": "89.219", "s2c_total": "64", "s2c_n_correct": "57.1", "wps": "249.6", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "30040", "lr": "0.000199733", "gnorm": "7.353", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "7366"} +2023-01-29 18:14:31 | INFO | train_inner | {"epoch": 14, "update": 13.904, "s2c_loss": "0.476", "loss": "0.32984", "s2c_nll_loss": "0.476", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "246.5", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "30050", "lr": "0.000199667", "gnorm": "6.746", "loss_scale": "256", "train_wall": "3", "gb_free": "7.4", "wall": "7369"} +2023-01-29 18:14:34 | INFO | train_inner | {"epoch": 14, "update": 13.908, "s2c_loss": "0.474", "loss": "0.32863", "s2c_nll_loss": "0.474", "s2c_accuracy": "91.406", "s2c_total": "64", "s2c_n_correct": "58.5", 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"gb_free": "7.2", "wall": "7389"} +2023-01-29 18:14:54 | INFO | train_inner | {"epoch": 14, "update": 13.945, "s2c_loss": "0.618", "loss": "0.42836", "s2c_nll_loss": "0.618", "s2c_accuracy": "89.375", "s2c_total": "64", "s2c_n_correct": "57.2", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "30140", "lr": "0.000199067", "gnorm": "8.524", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "7392"} +2023-01-29 18:14:56 | INFO | train_inner | {"epoch": 14, "update": 13.95, "s2c_loss": "0.473", "loss": "0.32783", "s2c_nll_loss": "0.473", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "256.7", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "30150", "lr": "0.000199", "gnorm": "7.462", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "7394"} +2023-01-29 18:14:59 | INFO | train_inner | {"epoch": 14, "update": 13.955, "s2c_loss": "0.471", "loss": "0.32679", "s2c_nll_loss": "0.471", "s2c_accuracy": 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"train_wall": "2", "gb_free": "7.3", "wall": "7402"} +2023-01-29 18:15:07 | INFO | train_inner | {"epoch": 14, "update": 13.969, "s2c_loss": "0.49", "loss": "0.33964", "s2c_nll_loss": "0.49", "s2c_accuracy": "90.781", "s2c_total": "64", "s2c_n_correct": "58.1", "wps": "249.3", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "30190", "lr": "0.000198733", "gnorm": "6.554", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "7405"} +2023-01-29 18:15:09 | INFO | train_inner | {"epoch": 14, "update": 13.973, "s2c_loss": "0.552", "loss": "0.38289", "s2c_nll_loss": "0.552", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": "57.7", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "30200", "lr": "0.000198667", "gnorm": "7.728", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "7407"} +2023-01-29 18:15:12 | INFO | train_inner | {"epoch": 14, "update": 13.978, "s2c_loss": "0.563", "loss": "0.39053", "s2c_nll_loss": "0.563", "s2c_accuracy": "90.156", "s2c_total": "64", "s2c_n_correct": "57.7", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "30210", "lr": "0.0001986", "gnorm": "7.517", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "7410"} +2023-01-29 18:15:14 | INFO | train_inner | {"epoch": 14, "update": 13.982, "s2c_loss": "0.75", "loss": "0.52013", "s2c_nll_loss": "0.75", "s2c_accuracy": "86.562", "s2c_total": "64", "s2c_n_correct": "55.4", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "30220", "lr": "0.000198533", "gnorm": "9.069", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "7412"} +2023-01-29 18:15:17 | INFO | train_inner | {"epoch": 14, "update": 13.987, "s2c_loss": "0.483", "loss": "0.33507", "s2c_nll_loss": "0.483", "s2c_accuracy": "91.25", "s2c_total": "64", "s2c_n_correct": "58.4", "wps": "252.9", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "30230", "lr": "0.000198467", "gnorm": "6.747", "loss_scale": "256", "train_wall": "2", "gb_free": "7.4", "wall": "7415"} +2023-01-29 18:15:19 | INFO | train_inner | {"epoch": 14, "update": 13.992, "s2c_loss": "0.553", "loss": "0.38342", "s2c_nll_loss": "0.553", "s2c_accuracy": "89.219", "s2c_total": "64", "s2c_n_correct": "57.1", "wps": "251.2", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "30240", "lr": "0.0001984", "gnorm": "7.682", "loss_scale": "256", "train_wall": "3", "gb_free": "7.4", "wall": "7417"} +2023-01-29 18:15:22 | INFO | train_inner | {"epoch": 14, "update": 13.996, "s2c_loss": "0.567", "loss": "0.39314", "s2c_nll_loss": "0.567", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "30250", "lr": "0.000198333", "gnorm": "6.61", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "7420"} +2023-01-29 18:15:24 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:15:39 | INFO | valid | {"epoch": 14, "valid_s2c_loss": "0.86", "valid_loss": "0.59612", "valid_s2c_nll_loss": "0.86", "valid_s2c_accuracy": "84.427", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "26.9815", "valid_num_updates": "30258", "valid_best_s2c_accuracy": "84.427"} +2023-01-29 18:15:39 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 14 @ 30258 updates +2023-01-29 18:15:39 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 18:15:46 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 18:15:50 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 14 @ 30258 updates, score 84.427) (writing took 11.687433236278594 seconds) +2023-01-29 18:15:50 | INFO | fairseq_cli.train | end of epoch 14 (average epoch stats below) +2023-01-29 18:15:50 | INFO | train | {"epoch": 14, "train_s2c_loss": "0.517", "train_loss": "0.35864", "train_s2c_nll_loss": "0.517", "train_s2c_accuracy": "90.636", "train_s2c_total": "63.9838", "train_s2c_n_correct": "57.9926", "train_wps": "227.7", "train_ups": "3.56", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "30258", "train_lr": "0.00019828", "train_gnorm": "6.893", "train_loss_scale": "256", "train_train_wall": "544", "train_gb_free": "7.5", "train_wall": "7448"} +2023-01-29 18:15:57 | INFO | fairseq.trainer | begin training epoch 15 +2023-01-29 18:15:57 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 18:15:57 | INFO | train_inner | {"epoch": 15, "update": 14.001, "s2c_loss": "0.51", "loss": "0.35337", "s2c_nll_loss": "0.51", "s2c_accuracy": "91.941", "s2c_total": "60.8", "s2c_n_correct": "55.9", "wps": "17.3", "ups": "0.28", "wpb": "60.8", "bsz": "60.8", "num_updates": "30260", "lr": "0.000198267", "gnorm": "6.16", "loss_scale": "256", "train_wall": "2", "gb_free": "7.3", "wall": "7455"} +2023-01-29 18:16:00 | INFO | train_inner | {"epoch": 15, "update": 14.006, "s2c_loss": "0.575", "loss": "0.39871", "s2c_nll_loss": "0.575", "s2c_accuracy": "90.469", "s2c_total": "64", "s2c_n_correct": "57.9", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "30270", "lr": "0.0001982", "gnorm": "7.406", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "7458"} +2023-01-29 18:16:02 | INFO | train_inner | {"epoch": 15, "update": 14.01, "s2c_loss": "0.578", "loss": "0.40061", "s2c_nll_loss": "0.578", "s2c_accuracy": "89.844", "s2c_total": "64", "s2c_n_correct": "57.5", "wps": "250.4", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "30280", "lr": "0.000198133", "gnorm": "7.805", "loss_scale": "256", "train_wall": "3", "gb_free": "7.4", "wall": "7460"} +2023-01-29 18:16:05 | INFO | train_inner | {"epoch": 15, "update": 14.015, "s2c_loss": "0.487", "loss": "0.33731", "s2c_nll_loss": "0.487", "s2c_accuracy": 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"train_wall": "2", "gb_free": "7.2", "wall": "7468"} +2023-01-29 18:16:12 | INFO | train_inner | {"epoch": 15, "update": 14.029, "s2c_loss": "0.334", "loss": "0.2312", "s2c_nll_loss": "0.334", "s2c_accuracy": "93.438", "s2c_total": "64", "s2c_n_correct": "59.8", "wps": "245.7", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "30320", "lr": "0.000197867", "gnorm": "5.527", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "7470"} +2023-01-29 18:16:15 | INFO | train_inner | {"epoch": 15, "update": 14.033, "s2c_loss": "0.472", "loss": "0.32749", "s2c_nll_loss": "0.472", "s2c_accuracy": "90.938", "s2c_total": "64", "s2c_n_correct": "58.2", "wps": "246", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "30330", "lr": "0.0001978", "gnorm": "6.941", "loss_scale": "256", "train_wall": "3", "gb_free": "7.2", "wall": "7473"} +2023-01-29 18:16:18 | INFO | train_inner | {"epoch": 15, "update": 14.038, "s2c_loss": "0.486", "loss": "0.33662", "s2c_nll_loss": "0.486", 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"loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "7481"} +2023-01-29 18:16:25 | INFO | train_inner | {"epoch": 15, "update": 14.052, "s2c_loss": "0.502", "loss": "0.34782", "s2c_nll_loss": "0.502", "s2c_accuracy": "90", "s2c_total": "64", "s2c_n_correct": "57.6", "wps": "248.2", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "30370", "lr": "0.000197533", "gnorm": "6.949", "loss_scale": "256", "train_wall": "3", "gb_free": "7.3", "wall": "7483"} +2023-01-29 18:16:28 | INFO | train_inner | {"epoch": 15, "update": 14.056, "s2c_loss": "0.491", "loss": "0.3404", "s2c_nll_loss": "0.491", "s2c_accuracy": "91.094", "s2c_total": "64", "s2c_n_correct": "58.3", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "30380", "lr": "0.000197467", "gnorm": "6.059", "loss_scale": "256", "train_wall": "2", "gb_free": "7.2", "wall": "7486"} +2023-01-29 18:16:30 | INFO | train_inner | {"epoch": 15, "update": 14.061, "s2c_loss": "0.403", "loss": "0.27968", 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18:19:21 | INFO | train_inner | {"epoch": 15, "update": 14.371, "s2c_loss": "0.622", "loss": "0.43081", "s2c_nll_loss": "0.622", "s2c_accuracy": "90.781", "s2c_total": "64", "s2c_n_correct": "58.1", "wps": "250.8", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "31060", "lr": "0.000192934", "gnorm": "5.114", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "7659"} +2023-01-29 18:19:24 | INFO | train_inner | {"epoch": 15, "update": 14.376, "s2c_loss": "0.329", "loss": "0.22826", "s2c_nll_loss": "0.329", "s2c_accuracy": "92.969", "s2c_total": "64", "s2c_n_correct": "59.5", "wps": "252.4", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "31070", "lr": "0.000192867", "gnorm": "5.238", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "7662"} +2023-01-29 18:19:26 | INFO | train_inner | {"epoch": 15, "update": 14.38, "s2c_loss": "0.401", "loss": "0.27816", "s2c_nll_loss": "0.401", "s2c_accuracy": "91.875", "s2c_total": "64", "s2c_n_correct": 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train_inner | {"epoch": 15, "update": 14.931, "s2c_loss": "0.357", "loss": "0.24764", "s2c_nll_loss": "0.357", "s2c_accuracy": "93.438", "s2c_total": "64", "s2c_n_correct": "59.8", "wps": "247.9", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "32270", "lr": "0.000184867", "gnorm": "5.844", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "7967"} +2023-01-29 18:24:31 | INFO | train_inner | {"epoch": 15, "update": 14.935, "s2c_loss": "0.391", "loss": "0.27091", "s2c_nll_loss": "0.391", "s2c_accuracy": "92.188", "s2c_total": "64", "s2c_n_correct": "59", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "32280", "lr": "0.000184801", "gnorm": "6.442", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "7969"} +2023-01-29 18:24:34 | INFO | train_inner | {"epoch": 15, "update": 14.94, "s2c_loss": "0.429", "loss": "0.29714", "s2c_nll_loss": "0.429", "s2c_accuracy": "92.344", "s2c_total": "64", "s2c_n_correct": "59.1", "wps": 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+2023-01-29 18:24:41 | INFO | train_inner | {"epoch": 15, "update": 14.954, "s2c_loss": "0.436", "loss": "0.3022", "s2c_nll_loss": "0.436", "s2c_accuracy": "91.562", "s2c_total": "64", "s2c_n_correct": "58.6", "wps": "255.7", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "32320", "lr": "0.000184534", "gnorm": "6.933", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "7979"} +2023-01-29 18:24:44 | INFO | train_inner | {"epoch": 15, "update": 14.958, "s2c_loss": "0.398", "loss": "0.27558", "s2c_nll_loss": "0.398", "s2c_accuracy": "93.281", "s2c_total": "64", "s2c_n_correct": "59.7", "wps": "254.9", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "32330", "lr": "0.000184467", "gnorm": "6.56", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "7982"} +2023-01-29 18:24:47 | INFO | train_inner | {"epoch": 15, "update": 14.963, "s2c_loss": "0.371", "loss": "0.25748", "s2c_nll_loss": "0.371", "s2c_accuracy": "92.812", "s2c_total": "64", 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"gb_free": "7.3", "wall": "7989"} +2023-01-29 18:24:54 | INFO | train_inner | {"epoch": 15, "update": 14.977, "s2c_loss": "0.468", "loss": "0.32412", "s2c_nll_loss": "0.468", "s2c_accuracy": "91.25", "s2c_total": "64", "s2c_n_correct": "58.4", "wps": "256.9", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "32370", "lr": "0.000184201", "gnorm": "5.749", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "7992"} +2023-01-29 18:24:56 | INFO | train_inner | {"epoch": 15, "update": 14.981, "s2c_loss": "0.461", "loss": "0.31934", "s2c_nll_loss": "0.461", "s2c_accuracy": "91.562", "s2c_total": "64", "s2c_n_correct": "58.6", "wps": "262.1", "ups": "4.09", "wpb": "64", "bsz": "64", "num_updates": "32380", "lr": "0.000184134", "gnorm": "6.423", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "7994"} +2023-01-29 18:24:59 | INFO | train_inner | {"epoch": 15, "update": 14.986, "s2c_loss": "0.421", "loss": "0.29168", "s2c_nll_loss": "0.421", "s2c_accuracy": 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"512", "train_wall": "3", "gb_free": "7.3", "wall": "8002"} +2023-01-29 18:25:07 | INFO | train_inner | {"epoch": 15, "update": 15.0, "s2c_loss": "0.406", "loss": "0.28148", "s2c_nll_loss": "0.406", "s2c_accuracy": "92.434", "s2c_total": "60.8", "s2c_n_correct": "56.2", "wps": "252.9", "ups": "4.16", "wpb": "60.8", "bsz": "60.8", "num_updates": "32420", "lr": "0.000183867", "gnorm": "5.448", "loss_scale": "512", "train_wall": "2", "gb_free": "7.5", "wall": "8004"} +2023-01-29 18:25:07 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:25:21 | INFO | valid | {"epoch": 15, "valid_s2c_loss": "0.798", "valid_loss": "0.55338", "valid_s2c_nll_loss": "0.798", "valid_s2c_accuracy": "85.745", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "27.4028", "valid_num_updates": "32420", "valid_best_s2c_accuracy": "85.745"} +2023-01-29 18:25:21 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 15 @ 32420 updates +2023-01-29 18:25:21 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 18:25:28 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 18:25:33 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 15 @ 32420 updates, score 85.745) (writing took 11.846482349094003 seconds) +2023-01-29 18:25:33 | INFO | fairseq_cli.train | end of epoch 15 (average epoch stats below) +2023-01-29 18:25:33 | INFO | train | {"epoch": 15, "train_s2c_loss": "0.473", "train_loss": "0.32785", "train_s2c_nll_loss": "0.473", "train_s2c_accuracy": "91.425", "train_s2c_total": "63.9838", "train_s2c_n_correct": "58.4972", "train_wps": "237.3", "train_ups": "3.71", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "32420", "train_lr": "0.000183867", "train_gnorm": "6.503", "train_loss_scale": "512", "train_train_wall": "542", "train_gb_free": "7.5", "train_wall": "8031"} +2023-01-29 18:25:40 | INFO | fairseq.trainer | begin training epoch 16 +2023-01-29 18:25:40 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 18:25:42 | INFO | train_inner | {"epoch": 16, "update": 15.005, "s2c_loss": "0.853", "loss": "0.59116", "s2c_nll_loss": "0.853", "s2c_accuracy": "87.812", "s2c_total": "64", "s2c_n_correct": "56.2", "wps": "17.9", "ups": "0.28", "wpb": "64", "bsz": "64", "num_updates": "32430", "lr": "0.000183801", "gnorm": "5.609", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "8040"} +2023-01-29 18:25:45 | INFO | train_inner | {"epoch": 16, "update": 15.009, "s2c_loss": "0.39", "loss": "0.27063", "s2c_nll_loss": "0.39", "s2c_accuracy": "93.125", "s2c_total": "64", "s2c_n_correct": "59.6", "wps": "254.1", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "32440", "lr": "0.000183734", "gnorm": "5.815", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "8043"} +2023-01-29 18:25:47 | INFO | train_inner | {"epoch": 16, "update": 15.014, "s2c_loss": "0.281", "loss": "0.19449", "s2c_nll_loss": "0.281", "s2c_accuracy": "94.844", "s2c_total": "64", "s2c_n_correct": "60.7", "wps": "247.5", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "32450", "lr": "0.000183667", "gnorm": "4.77", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "8045"} +2023-01-29 18:25:50 | INFO | train_inner | {"epoch": 16, "update": 15.019, "s2c_loss": "0.32", "loss": "0.22174", "s2c_nll_loss": "0.32", "s2c_accuracy": "94.531", "s2c_total": "64", "s2c_n_correct": "60.5", "wps": "247.1", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "32460", "lr": "0.000183601", "gnorm": "5.958", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "8048"} +2023-01-29 18:25:53 | INFO | train_inner | {"epoch": 16, "update": 15.023, "s2c_loss": "0.283", "loss": "0.19608", "s2c_nll_loss": "0.283", "s2c_accuracy": 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| train_inner | {"epoch": 16, "update": 15.971, "s2c_loss": "0.383", "loss": "0.26574", "s2c_nll_loss": "0.383", "s2c_accuracy": "93.75", "s2c_total": "64", "s2c_n_correct": "60", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "34520", "lr": "0.000169868", "gnorm": "5.692", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "8567"} +2023-01-29 18:34:31 | INFO | train_inner | {"epoch": 16, "update": 15.976, "s2c_loss": "0.483", "loss": "0.33472", "s2c_nll_loss": "0.483", "s2c_accuracy": "91.719", "s2c_total": "64", "s2c_n_correct": "58.7", "wps": "254.1", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "34530", "lr": "0.000169802", "gnorm": "6.251", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "8569"} +2023-01-29 18:34:34 | INFO | train_inner | {"epoch": 16, "update": 15.981, "s2c_loss": "0.443", "loss": "0.30705", "s2c_nll_loss": "0.443", "s2c_accuracy": "92.188", "s2c_total": "64", "s2c_n_correct": "59", "wps": 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+2023-01-29 18:34:41 | INFO | train_inner | {"epoch": 16, "update": 15.994, "s2c_loss": "0.372", "loss": "0.25789", "s2c_nll_loss": "0.372", "s2c_accuracy": "94.219", "s2c_total": "64", "s2c_n_correct": "60.3", "wps": "251.9", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "34570", "lr": "0.000169535", "gnorm": "5.749", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "8579"} +2023-01-29 18:34:44 | INFO | train_inner | {"epoch": 16, "update": 15.999, "s2c_loss": "0.388", "loss": "0.26901", "s2c_nll_loss": "0.388", "s2c_accuracy": "92.656", "s2c_total": "64", "s2c_n_correct": "59.3", "wps": "249.4", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "34580", "lr": "0.000169468", "gnorm": "5.69", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "8582"} +2023-01-29 18:34:44 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:34:59 | INFO | valid | {"epoch": 16, "valid_s2c_loss": "0.824", "valid_loss": "0.57106", "valid_s2c_nll_loss": "0.824", "valid_s2c_accuracy": "85.427", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "27.3009", "valid_num_updates": "34582", "valid_best_s2c_accuracy": "85.745"} +2023-01-29 18:34:59 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 16 @ 34582 updates +2023-01-29 18:34:59 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 18:35:06 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 18:35:06 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 16 @ 34582 updates, score 85.427) (writing took 7.10306018171832 seconds) +2023-01-29 18:35:06 | INFO | fairseq_cli.train | end of epoch 16 (average epoch stats below) +2023-01-29 18:35:06 | INFO | train | {"epoch": 16, "train_s2c_loss": "0.357", 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| train_inner | {"epoch": 17, "update": 16.008, "s2c_loss": "0.312", "loss": "0.21652", "s2c_nll_loss": "0.312", "s2c_accuracy": "94.375", "s2c_total": "64", "s2c_n_correct": "60.4", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "34600", "lr": "0.000169335", "gnorm": "4.895", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "8615"} +2023-01-29 18:35:19 | INFO | train_inner | {"epoch": 17, "update": 16.013, "s2c_loss": "0.288", "loss": "0.19937", "s2c_nll_loss": "0.288", "s2c_accuracy": "94.531", "s2c_total": "64", "s2c_n_correct": "60.5", "wps": "253.9", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "34610", "lr": "0.000169268", "gnorm": "4.779", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "8617"} +2023-01-29 18:35:22 | INFO | train_inner | {"epoch": 17, "update": 16.018, "s2c_loss": "0.237", "loss": "0.16405", "s2c_nll_loss": "0.237", "s2c_accuracy": "95.312", "s2c_total": "64", "s2c_n_correct": "61", "wps": 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"update": 16.383, "s2c_loss": "0.348", "loss": "0.24094", "s2c_nll_loss": "0.348", "s2c_accuracy": "94.219", "s2c_total": "64", "s2c_n_correct": "60.3", "wps": "254", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "35410", "lr": "0.000163935", "gnorm": "4.888", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "8820"} +2023-01-29 18:38:44 | INFO | train_inner | {"epoch": 17, "update": 16.388, "s2c_loss": "0.259", "loss": "0.17971", "s2c_nll_loss": "0.259", "s2c_accuracy": "94.688", "s2c_total": "64", "s2c_n_correct": "60.6", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "35420", "lr": "0.000163868", "gnorm": "5.173", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "8822"} +2023-01-29 18:38:47 | INFO | train_inner | {"epoch": 17, "update": 16.393, "s2c_loss": "0.286", "loss": "0.19834", "s2c_nll_loss": "0.286", "s2c_accuracy": "95", "s2c_total": "64", "s2c_n_correct": "60.8", "wps": "250.8", "ups": "3.92", "wpb": 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train_inner | {"epoch": 17, "update": 16.407, "s2c_loss": "0.3", "loss": "0.20773", "s2c_nll_loss": "0.3", "s2c_accuracy": "94.219", "s2c_total": "64", "s2c_n_correct": "60.3", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "35460", "lr": "0.000163602", "gnorm": "5.739", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "8832"} +2023-01-29 18:38:57 | INFO | train_inner | {"epoch": 17, "update": 16.411, "s2c_loss": "0.258", "loss": "0.17887", "s2c_nll_loss": "0.258", "s2c_accuracy": "95.156", "s2c_total": "64", "s2c_n_correct": "60.9", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "35470", "lr": "0.000163535", "gnorm": "5.499", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "8835"} +2023-01-29 18:38:59 | INFO | train_inner | {"epoch": 17, "update": 16.416, "s2c_loss": "0.286", "loss": "0.19833", "s2c_nll_loss": "0.286", "s2c_accuracy": "95", "s2c_total": "64", "s2c_n_correct": "60.8", "wps": "251.8", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "35480", "lr": "0.000163468", "gnorm": "5.923", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "8837"} +2023-01-29 18:39:02 | INFO | train_inner | {"epoch": 17, "update": 16.42, "s2c_loss": "0.33", "loss": "0.22872", "s2c_nll_loss": "0.33", "s2c_accuracy": "93.438", "s2c_total": "64", "s2c_n_correct": "59.8", "wps": "256.3", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "35490", "lr": "0.000163402", "gnorm": "5.477", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "8840"} +2023-01-29 18:39:04 | INFO | train_inner | {"epoch": 17, "update": 16.425, "s2c_loss": "0.345", "loss": "0.2394", "s2c_nll_loss": "0.345", "s2c_accuracy": "93.75", "s2c_total": "64", "s2c_n_correct": "60", "wps": "254.5", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "35500", "lr": "0.000163335", "gnorm": "5.215", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "8842"} +2023-01-29 18:39:07 | INFO | train_inner | {"epoch": 17, "update": 16.43, "s2c_loss": "0.282", "loss": "0.19519", "s2c_nll_loss": "0.282", "s2c_accuracy": "94.844", "s2c_total": "64", "s2c_n_correct": "60.7", "wps": "255.7", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "35510", "lr": "0.000163269", "gnorm": "4.833", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "8845"} +2023-01-29 18:39:10 | INFO | train_inner | {"epoch": 17, "update": 16.434, "s2c_loss": "0.249", "loss": "0.17284", "s2c_nll_loss": "0.249", "s2c_accuracy": "95.938", "s2c_total": "64", "s2c_n_correct": "61.4", "wps": "252.3", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "35520", "lr": "0.000163202", "gnorm": "4.888", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "8847"} +2023-01-29 18:39:12 | INFO | train_inner | {"epoch": 17, "update": 16.439, "s2c_loss": "0.298", "loss": "0.2068", "s2c_nll_loss": "0.298", "s2c_accuracy": "95", "s2c_total": "64", "s2c_n_correct": 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18:40:28 | INFO | train_inner | {"epoch": 17, "update": 16.578, "s2c_loss": "0.28", "loss": "0.19416", "s2c_nll_loss": "0.28", "s2c_accuracy": "95.625", "s2c_total": "64", "s2c_n_correct": "61.2", "wps": "257.1", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "35830", "lr": "0.000161135", "gnorm": "4.441", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "8926"} +2023-01-29 18:40:31 | INFO | train_inner | {"epoch": 17, "update": 16.582, "s2c_loss": "0.259", "loss": "0.17969", "s2c_nll_loss": "0.259", "s2c_accuracy": "94.844", "s2c_total": "64", "s2c_n_correct": "60.7", "wps": "248.9", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "35840", "lr": "0.000161069", "gnorm": "4.223", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "8929"} +2023-01-29 18:40:33 | INFO | train_inner | {"epoch": 17, "update": 16.587, "s2c_loss": "0.345", "loss": "0.23947", "s2c_nll_loss": "0.345", "s2c_accuracy": "93.438", "s2c_total": "64", "s2c_n_correct": 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18:43:22 | INFO | train_inner | {"epoch": 17, "update": 16.897, "s2c_loss": "0.277", "loss": "0.19172", "s2c_nll_loss": "0.277", "s2c_accuracy": "95.156", "s2c_total": "64", "s2c_n_correct": "60.9", "wps": "254.5", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "36520", "lr": "0.000156536", "gnorm": "4.756", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9100"} +2023-01-29 18:43:25 | INFO | train_inner | {"epoch": 17, "update": 16.901, "s2c_loss": "0.165", "loss": "0.11467", "s2c_nll_loss": "0.165", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "250.2", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "36530", "lr": "0.000156469", "gnorm": "3.73", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9103"} +2023-01-29 18:43:27 | INFO | train_inner | {"epoch": 17, "update": 16.906, "s2c_loss": "0.198", "loss": "0.13705", "s2c_nll_loss": "0.198", "s2c_accuracy": "97.031", "s2c_total": "64", 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"loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "9136"} +2023-01-29 18:44:00 | INFO | train_inner | {"epoch": 17, "update": 16.966, "s2c_loss": "0.299", "loss": "0.20693", "s2c_nll_loss": "0.299", "s2c_accuracy": "95.156", "s2c_total": "64", "s2c_n_correct": "60.9", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "36670", "lr": "0.000155536", "gnorm": "5.44", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "9138"} +2023-01-29 18:44:03 | INFO | train_inner | {"epoch": 17, "update": 16.971, "s2c_loss": "0.261", "loss": "0.1808", "s2c_nll_loss": "0.261", "s2c_accuracy": "95.312", "s2c_total": "64", "s2c_n_correct": "61", "wps": "254.4", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "36680", "lr": "0.000155469", "gnorm": "4.351", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "9141"} +2023-01-29 18:44:05 | INFO | train_inner | {"epoch": 17, "update": 16.975, "s2c_loss": "0.27", "loss": "0.18713", 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"gnorm": "5.458", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9148"} +2023-01-29 18:44:13 | INFO | train_inner | {"epoch": 17, "update": 16.989, "s2c_loss": "0.524", "loss": "0.36349", "s2c_nll_loss": "0.524", "s2c_accuracy": "92.5", "s2c_total": "64", "s2c_n_correct": "59.2", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "36720", "lr": "0.000155202", "gnorm": "6.565", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "9151"} +2023-01-29 18:44:15 | INFO | train_inner | {"epoch": 17, "update": 16.994, "s2c_loss": "0.26", "loss": "0.1805", "s2c_nll_loss": "0.26", "s2c_accuracy": "94.219", "s2c_total": "64", "s2c_n_correct": "60.3", "wps": "252.3", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "36730", "lr": "0.000155136", "gnorm": "5.971", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9153"} +2023-01-29 18:44:18 | INFO | train_inner | {"epoch": 17, "update": 16.999, "s2c_loss": "0.299", "loss": "0.20703", "s2c_nll_loss": "0.299", "s2c_accuracy": "95.469", "s2c_total": "64", "s2c_n_correct": "61.1", "wps": "255.7", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "36740", "lr": "0.000155069", "gnorm": "5.687", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9156"} +2023-01-29 18:44:19 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:44:33 | INFO | valid | {"epoch": 17, "valid_s2c_loss": "0.839", "valid_loss": "0.58127", "valid_s2c_nll_loss": "0.839", "valid_s2c_accuracy": "85.311", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "27.2639", "valid_num_updates": "36743", "valid_best_s2c_accuracy": "85.745"} +2023-01-29 18:44:33 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 17 @ 36743 updates +2023-01-29 18:44:33 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 18:44:40 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 18:44:40 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 17 @ 36743 updates, score 85.311) (writing took 6.66662970604375 seconds) +2023-01-29 18:44:40 | INFO | fairseq_cli.train | end of epoch 17 (average epoch stats below) +2023-01-29 18:44:40 | INFO | train | {"epoch": 17, "train_s2c_loss": "0.308", "train_loss": "0.2136", "train_s2c_nll_loss": "0.308", "train_s2c_accuracy": "94.464", "train_s2c_total": "63.9838", "train_s2c_n_correct": "60.4419", "train_wps": "240.9", "train_ups": "3.76", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "36743", "train_lr": "0.000155049", "train_gnorm": "5.051", "train_loss_scale": "1024", "train_train_wall": "539", "train_gb_free": "7.5", "train_wall": "9178"} +2023-01-29 18:44:46 | INFO | fairseq.trainer | begin training epoch 18 +2023-01-29 18:44:46 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 18:44:48 | INFO | train_inner | {"epoch": 18, "update": 17.003, "s2c_loss": "0.296", "loss": "0.20522", "s2c_nll_loss": "0.296", "s2c_accuracy": "93.586", "s2c_total": "60.8", "s2c_n_correct": "56.9", "wps": "20.3", "ups": "0.33", "wpb": "60.8", "bsz": "60.8", "num_updates": "36750", "lr": "0.000155002", "gnorm": "8.084", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9186"} +2023-01-29 18:44:50 | INFO | train_inner | {"epoch": 18, "update": 17.008, "s2c_loss": "0.285", "loss": "0.19727", "s2c_nll_loss": "0.285", "s2c_accuracy": "95", "s2c_total": "64", "s2c_n_correct": "60.8", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "36760", "lr": "0.000154936", "gnorm": "5.331", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "9188"} +2023-01-29 18:44:53 | INFO | train_inner | {"epoch": 18, "update": 17.012, "s2c_loss": "0.287", "loss": "0.19894", "s2c_nll_loss": 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"gnorm": "4.592", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9196"} +2023-01-29 18:45:01 | INFO | train_inner | {"epoch": 18, "update": 17.026, "s2c_loss": "0.249", "loss": "0.17245", "s2c_nll_loss": "0.249", "s2c_accuracy": "94.219", "s2c_total": "64", "s2c_n_correct": "60.3", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "36800", "lr": "0.000154669", "gnorm": "5.065", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9199"} +2023-01-29 18:45:03 | INFO | train_inner | {"epoch": 18, "update": 17.031, "s2c_loss": "0.269", "loss": "0.18639", "s2c_nll_loss": "0.269", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "252.3", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "36810", "lr": "0.000154602", "gnorm": "4.045", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9201"} +2023-01-29 18:45:06 | INFO | train_inner | {"epoch": 18, "update": 17.036, "s2c_loss": 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18:52:54 | INFO | train_inner | {"epoch": 18, "update": 17.891, "s2c_loss": "0.217", "loss": "0.15022", "s2c_nll_loss": "0.217", "s2c_accuracy": "95.938", "s2c_total": "64", "s2c_n_correct": "61.4", "wps": "247.2", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "38670", "lr": "0.000142203", "gnorm": "4.417", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "9672"} +2023-01-29 18:52:56 | INFO | train_inner | {"epoch": 18, "update": 17.896, "s2c_loss": "0.186", "loss": "0.12884", "s2c_nll_loss": "0.186", "s2c_accuracy": "96.875", "s2c_total": "64", "s2c_n_correct": "62", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "38680", "lr": "0.000142136", "gnorm": "4.524", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "9674"} +2023-01-29 18:52:59 | INFO | train_inner | {"epoch": 18, "update": 17.901, "s2c_loss": "0.269", "loss": "0.18645", "s2c_nll_loss": "0.269", "s2c_accuracy": "95.156", "s2c_total": "64", "s2c_n_correct": 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"9682"} +2023-01-29 18:53:06 | INFO | train_inner | {"epoch": 18, "update": 17.914, "s2c_loss": "0.272", "loss": "0.18857", "s2c_nll_loss": "0.272", "s2c_accuracy": "95.312", "s2c_total": "64", "s2c_n_correct": "61", "wps": "256.5", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "38720", "lr": "0.00014187", "gnorm": "5.268", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "9684"} +2023-01-29 18:53:09 | INFO | train_inner | {"epoch": 18, "update": 17.919, "s2c_loss": "0.303", "loss": "0.21005", "s2c_nll_loss": "0.303", "s2c_accuracy": "93.906", "s2c_total": "64", "s2c_n_correct": "60.1", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "38730", "lr": "0.000141803", "gnorm": "5.148", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "9687"} +2023-01-29 18:53:11 | INFO | train_inner | {"epoch": 18, "update": 17.924, "s2c_loss": "0.251", "loss": "0.17392", "s2c_nll_loss": "0.251", "s2c_accuracy": "95.312", "s2c_total": 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"gb_free": "7.2", "wall": "9694"} +2023-01-29 18:53:19 | INFO | train_inner | {"epoch": 18, "update": 17.938, "s2c_loss": "0.383", "loss": "0.26567", "s2c_nll_loss": "0.383", "s2c_accuracy": "95", "s2c_total": "64", "s2c_n_correct": "60.8", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "38770", "lr": "0.000141536", "gnorm": "3.583", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "9697"} +2023-01-29 18:53:22 | INFO | train_inner | {"epoch": 18, "update": 17.942, "s2c_loss": "0.258", "loss": "0.17868", "s2c_nll_loss": "0.258", "s2c_accuracy": "95.469", "s2c_total": "64", "s2c_n_correct": "61.1", "wps": "250.1", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "38780", "lr": "0.00014147", "gnorm": "4.747", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "9699"} +2023-01-29 18:53:24 | INFO | train_inner | {"epoch": 18, "update": 17.947, "s2c_loss": "0.341", "loss": "0.23664", "s2c_nll_loss": "0.341", "s2c_accuracy": 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"2048", "train_wall": "2", "gb_free": "7.3", "wall": "9707"} +2023-01-29 18:53:32 | INFO | train_inner | {"epoch": 18, "update": 17.961, "s2c_loss": "0.227", "loss": "0.15748", "s2c_nll_loss": "0.227", "s2c_accuracy": "96.25", "s2c_total": "64", "s2c_n_correct": "61.6", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "38820", "lr": "0.000141203", "gnorm": "4.111", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "9709"} +2023-01-29 18:53:34 | INFO | train_inner | {"epoch": 18, "update": 17.965, "s2c_loss": "0.394", "loss": "0.27306", "s2c_nll_loss": "0.394", "s2c_accuracy": "92.344", "s2c_total": "64", "s2c_n_correct": "59.1", "wps": "255.3", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "38830", "lr": "0.000141136", "gnorm": "6.797", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "9712"} +2023-01-29 18:53:37 | INFO | train_inner | {"epoch": 18, "update": 17.97, "s2c_loss": "0.234", "loss": "0.16193", "s2c_nll_loss": "0.234", "s2c_accuracy": "95.469", "s2c_total": "64", "s2c_n_correct": "61.1", "wps": "257.1", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "38840", "lr": "0.00014107", "gnorm": "5.144", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "9714"} +2023-01-29 18:53:39 | INFO | train_inner | {"epoch": 18, "update": 17.975, "s2c_loss": "0.184", "loss": "0.12756", "s2c_nll_loss": "0.184", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", "wps": "254.9", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "38850", "lr": "0.000141003", "gnorm": "4.179", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "9717"} +2023-01-29 18:53:42 | INFO | train_inner | {"epoch": 18, "update": 17.979, "s2c_loss": "0.224", "loss": "0.15513", "s2c_nll_loss": "0.224", "s2c_accuracy": "95.312", "s2c_total": "64", "s2c_n_correct": "61", "wps": "255", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "38860", "lr": "0.000140936", "gnorm": "5.494", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "9719"} +2023-01-29 18:53:43 | INFO | fairseq.trainer | NOTE: gradient overflow detected, ignoring gradient, setting loss scale to: 1024.0 +2023-01-29 18:53:44 | INFO | train_inner | {"epoch": 18, "update": 17.984, "s2c_loss": "0.256", "loss": "0.1774", "s2c_nll_loss": "0.256", "s2c_accuracy": "96.094", "s2c_total": "64", "s2c_n_correct": "61.5", "wps": "229.1", "ups": "3.58", "wpb": "64", "bsz": "64", "num_updates": "38870", "lr": "0.00014087", "gnorm": "4.036", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9722"} +2023-01-29 18:53:47 | INFO | train_inner | {"epoch": 18, "update": 17.989, "s2c_loss": "0.205", "loss": "0.14177", "s2c_nll_loss": "0.205", "s2c_accuracy": "95.781", "s2c_total": "64", "s2c_n_correct": "61.3", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "38880", "lr": "0.000140803", "gnorm": "4.229", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9725"} +2023-01-29 18:53:49 | INFO | train_inner | {"epoch": 18, "update": 17.994, "s2c_loss": "0.195", "loss": "0.13509", "s2c_nll_loss": "0.195", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "38890", "lr": "0.000140736", "gnorm": "4.171", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9727"} +2023-01-29 18:53:52 | INFO | train_inner | {"epoch": 18, "update": 17.998, "s2c_loss": "0.23", "loss": "0.15949", "s2c_nll_loss": "0.23", "s2c_accuracy": "95.469", "s2c_total": "64", "s2c_n_correct": "61.1", "wps": "256", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "38900", "lr": "0.00014067", "gnorm": "4.558", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "9730"} +2023-01-29 18:53:53 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:54:07 | INFO | valid | {"epoch": 18, "valid_s2c_loss": "0.754", "valid_loss": "0.52233", "valid_s2c_nll_loss": "0.754", "valid_s2c_accuracy": "86.774", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "27.7315", "valid_num_updates": "38904", "valid_best_s2c_accuracy": "86.774"} +2023-01-29 18:54:07 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 18 @ 38904 updates +2023-01-29 18:54:07 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 18:54:14 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 18:54:19 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 18 @ 38904 updates, score 86.774) (writing took 11.75264347018674 seconds) +2023-01-29 18:54:19 | INFO | fairseq_cli.train | end of epoch 18 (average epoch stats below) +2023-01-29 18:54:19 | INFO | train | {"epoch": 18, "train_s2c_loss": "0.248", "train_loss": "0.17168", "train_s2c_nll_loss": "0.248", "train_s2c_accuracy": "95.566", "train_s2c_total": "63.9838", "train_s2c_n_correct": "61.1467", "train_wps": "238.7", "train_ups": "3.73", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "38904", "train_lr": "0.000140643", "train_gnorm": "4.651", "train_loss_scale": "1024", "train_train_wall": "540", "train_gb_free": "7.5", "train_wall": "9757"} +2023-01-29 18:54:25 | INFO | fairseq.trainer | begin training epoch 19 +2023-01-29 18:54:25 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 18:54:27 | INFO | train_inner | {"epoch": 19, "update": 18.003, "s2c_loss": "0.157", "loss": "0.10914", "s2c_nll_loss": "0.157", "s2c_accuracy": "97.862", "s2c_total": "60.8", "s2c_n_correct": "59.5", "wps": "17.3", "ups": "0.28", "wpb": "60.8", "bsz": "60.8", "num_updates": "38910", "lr": "0.000140603", "gnorm": "3.168", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9765"} +2023-01-29 18:54:30 | INFO | train_inner | {"epoch": 19, "update": 18.007, "s2c_loss": "0.149", "loss": "0.10341", "s2c_nll_loss": "0.149", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "38920", "lr": "0.000140536", "gnorm": "3.706", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9767"} +2023-01-29 18:54:32 | INFO | train_inner | {"epoch": 19, "update": 18.012, "s2c_loss": "0.171", "loss": "0.1188", "s2c_nll_loss": "0.171", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "255.3", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "38930", "lr": "0.00014047", "gnorm": "4.304", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.4", "wall": "9770"} +2023-01-29 18:54:35 | INFO | train_inner | {"epoch": 19, "update": 18.017, "s2c_loss": "0.226", "loss": "0.15684", "s2c_nll_loss": "0.226", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "252.6", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "38940", "lr": "0.000140403", "gnorm": "4.467", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9773"} +2023-01-29 18:54:37 | INFO | train_inner | {"epoch": 19, "update": 18.021, "s2c_loss": "0.177", "loss": "0.12279", "s2c_nll_loss": "0.177", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", "wps": "253.5", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "38950", "lr": "0.000140336", "gnorm": "3.799", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "9775"} +2023-01-29 18:54:40 | INFO | train_inner | {"epoch": 19, "update": 18.026, "s2c_loss": "0.152", "loss": "0.10552", "s2c_nll_loss": "0.152", "s2c_accuracy": "97.344", "s2c_total": "64", "s2c_n_correct": "62.3", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "38960", "lr": "0.00014027", "gnorm": "3.908", "loss_scale": "1024", 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| INFO | train_inner | {"epoch": 19, "update": 18.28, "s2c_loss": "0.166", "loss": "0.11489", "s2c_nll_loss": "0.166", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "39510", "lr": "0.000136603", "gnorm": "3.945", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9917"} +2023-01-29 18:57:01 | INFO | train_inner | {"epoch": 19, "update": 18.285, "s2c_loss": "0.181", "loss": "0.12534", "s2c_nll_loss": "0.181", "s2c_accuracy": "97.344", "s2c_total": "64", "s2c_n_correct": "62.3", "wps": "245.7", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "39520", "lr": "0.000136537", "gnorm": "3.748", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9919"} +2023-01-29 18:57:04 | INFO | train_inner | {"epoch": 19, "update": 18.29, "s2c_loss": "0.15", "loss": "0.10429", "s2c_nll_loss": "0.15", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", 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+2023-01-29 18:57:12 | INFO | train_inner | {"epoch": 19, "update": 18.303, "s2c_loss": "0.187", "loss": "0.12934", "s2c_nll_loss": "0.187", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "39560", "lr": "0.00013627", "gnorm": "3.781", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9930"} +2023-01-29 18:57:14 | INFO | train_inner | {"epoch": 19, "update": 18.308, "s2c_loss": "0.177", "loss": "0.12284", "s2c_nll_loss": "0.177", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", "wps": "249.6", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "39570", "lr": "0.000136203", "gnorm": "3.429", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "9932"} +2023-01-29 18:57:17 | INFO | train_inner | {"epoch": 19, "update": 18.313, "s2c_loss": "0.265", "loss": "0.18353", "s2c_nll_loss": "0.265", "s2c_accuracy": "94.375", "s2c_total": "64", "s2c_n_correct": "60.4", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "39580", "lr": "0.000136137", "gnorm": "4.195", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9935"} +2023-01-29 18:57:19 | INFO | train_inner | {"epoch": 19, "update": 18.317, "s2c_loss": "0.222", "loss": "0.15413", "s2c_nll_loss": "0.222", "s2c_accuracy": "95.781", "s2c_total": "64", "s2c_n_correct": "61.3", "wps": "254.9", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "39590", "lr": "0.00013607", "gnorm": "3.897", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9937"} +2023-01-29 18:57:22 | INFO | train_inner | {"epoch": 19, "update": 18.322, "s2c_loss": "0.188", "loss": "0.13053", "s2c_nll_loss": "0.188", "s2c_accuracy": "96.094", "s2c_total": "64", "s2c_n_correct": "61.5", "wps": "255.3", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "39600", "lr": "0.000136003", "gnorm": "4.708", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9940"} +2023-01-29 18:57:24 | INFO | train_inner | {"epoch": 19, "update": 18.327, "s2c_loss": "0.181", "loss": "0.12552", "s2c_nll_loss": "0.181", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "39610", "lr": "0.000135937", "gnorm": "4.091", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9942"} +2023-01-29 18:57:27 | INFO | train_inner | {"epoch": 19, "update": 18.331, "s2c_loss": "0.187", "loss": "0.12992", "s2c_nll_loss": "0.187", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "253.5", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "39620", "lr": "0.00013587", "gnorm": "3.076", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "9945"} +2023-01-29 18:57:29 | INFO | train_inner | {"epoch": 19, "update": 18.336, "s2c_loss": "0.207", "loss": "0.1437", "s2c_nll_loss": "0.207", "s2c_accuracy": 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"loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "9996"} +2023-01-29 18:58:20 | INFO | train_inner | {"epoch": 19, "update": 18.429, "s2c_loss": "0.188", "loss": "0.13001", "s2c_nll_loss": "0.188", "s2c_accuracy": "97.188", "s2c_total": "64", "s2c_n_correct": "62.2", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "39830", "lr": "0.00013447", "gnorm": "4.669", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "9998"} +2023-01-29 18:58:23 | INFO | train_inner | {"epoch": 19, "update": 18.433, "s2c_loss": "0.218", "loss": "0.15114", "s2c_nll_loss": "0.218", "s2c_accuracy": "95.781", "s2c_total": "64", "s2c_n_correct": "61.3", "wps": "250.7", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "39840", "lr": "0.000134403", "gnorm": "5.618", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10001"} +2023-01-29 18:58:25 | INFO | train_inner | {"epoch": 19, "update": 18.438, "s2c_loss": "0.126", "loss": "0.08742", 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"num_updates": "39920", "lr": "0.00013387", "gnorm": "4.11", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10021"} +2023-01-29 18:58:46 | INFO | train_inner | {"epoch": 19, "update": 18.475, "s2c_loss": "0.203", "loss": "0.14085", "s2c_nll_loss": "0.203", "s2c_accuracy": "96.094", "s2c_total": "64", "s2c_n_correct": "61.5", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "39930", "lr": "0.000133803", "gnorm": "4.218", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10024"} +2023-01-29 18:58:48 | INFO | train_inner | {"epoch": 19, "update": 18.48, "s2c_loss": "0.256", "loss": "0.17741", "s2c_nll_loss": "0.256", "s2c_accuracy": "95.781", "s2c_total": "64", "s2c_n_correct": "61.3", "wps": "255.3", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "39940", "lr": "0.000133737", "gnorm": "4.452", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10026"} +2023-01-29 18:58:51 | INFO | train_inner | {"epoch": 19, "update": 18.484, "s2c_loss": "0.25", "loss": "0.17314", "s2c_nll_loss": "0.25", "s2c_accuracy": "95.938", "s2c_total": "64", "s2c_n_correct": "61.4", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "39950", "lr": "0.00013367", "gnorm": "4.523", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10029"} +2023-01-29 18:58:53 | INFO | train_inner | {"epoch": 19, "update": 18.489, "s2c_loss": "0.217", "loss": "0.15066", "s2c_nll_loss": "0.217", "s2c_accuracy": "95.781", "s2c_total": "64", "s2c_n_correct": "61.3", "wps": "256.9", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "39960", "lr": "0.000133603", "gnorm": "4.339", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10031"} +2023-01-29 18:58:56 | INFO | train_inner | {"epoch": 19, "update": 18.494, "s2c_loss": "0.259", "loss": "0.17928", "s2c_nll_loss": "0.259", "s2c_accuracy": "95.625", "s2c_total": "64", "s2c_n_correct": "61.2", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "39970", "lr": "0.000133537", "gnorm": "4.88", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10034"} +2023-01-29 18:58:58 | INFO | train_inner | {"epoch": 19, "update": 18.498, "s2c_loss": "0.16", "loss": "0.11095", "s2c_nll_loss": "0.16", "s2c_accuracy": "97.188", "s2c_total": "64", "s2c_n_correct": "62.2", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "39980", "lr": "0.00013347", "gnorm": "3.608", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10036"} +2023-01-29 18:59:01 | INFO | train_inner | {"epoch": 19, "update": 18.503, "s2c_loss": "0.211", "loss": "0.14639", "s2c_nll_loss": "0.211", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "39990", "lr": "0.000133403", "gnorm": "4.167", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10039"} +2023-01-29 18:59:03 | INFO | train_inner | {"epoch": 19, "update": 18.507, "s2c_loss": "0.229", "loss": "0.15851", "s2c_nll_loss": "0.229", "s2c_accuracy": "95.156", "s2c_total": "64", "s2c_n_correct": "60.9", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "40000", "lr": "0.000133337", "gnorm": "5.266", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10041"} +2023-01-29 18:59:03 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 18:59:18 | INFO | valid | {"epoch": 19, "valid_s2c_loss": "0.682", "valid_loss": "0.47289", "valid_s2c_nll_loss": "0.682", "valid_s2c_accuracy": "87.962", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "28.1111", "valid_num_updates": "40000", "valid_best_s2c_accuracy": "87.962"} +2023-01-29 18:59:18 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 19 @ 40000 updates +2023-01-29 18:59:18 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_19_40000.pt +2023-01-29 18:59:21 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_19_40000.pt +2023-01-29 18:59:31 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_19_40000.pt (epoch 19 @ 40000 updates, score 87.962) (writing took 12.844550338108093 seconds) +2023-01-29 18:59:33 | INFO | train_inner | {"epoch": 19, "update": 18.512, "s2c_loss": "0.169", "loss": "0.11693", "s2c_nll_loss": "0.169", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "21.3", "ups": "0.33", "wpb": "64", "bsz": "64", "num_updates": "40010", "lr": "0.00013327", "gnorm": "3.888", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10071"} +2023-01-29 18:59:36 | INFO | train_inner | {"epoch": 19, "update": 18.517, "s2c_loss": "0.208", "loss": "0.14424", "s2c_nll_loss": "0.208", 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"loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10079"} +2023-01-29 18:59:43 | INFO | train_inner | {"epoch": 19, "update": 18.531, "s2c_loss": "0.233", "loss": "0.16178", "s2c_nll_loss": "0.233", "s2c_accuracy": "96.25", "s2c_total": "64", "s2c_n_correct": "61.6", "wps": "257.2", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "40050", "lr": "0.000133003", "gnorm": "4.796", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10081"} +2023-01-29 18:59:46 | INFO | train_inner | {"epoch": 19, "update": 18.535, "s2c_loss": "0.207", "loss": "0.14333", "s2c_nll_loss": "0.207", "s2c_accuracy": "96.875", "s2c_total": "64", "s2c_n_correct": "62", "wps": "251.5", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "40060", "lr": "0.000132937", "gnorm": "5.748", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10084"} +2023-01-29 18:59:49 | INFO | train_inner | {"epoch": 19, "update": 18.54, "s2c_loss": "0.159", "loss": "0.10987", 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"num_updates": "40140", "lr": "0.000132403", "gnorm": "3.797", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10104"} +2023-01-29 19:00:09 | INFO | train_inner | {"epoch": 19, "update": 18.577, "s2c_loss": "0.137", "loss": "0.09526", "s2c_nll_loss": "0.137", "s2c_accuracy": "97.812", "s2c_total": "64", "s2c_n_correct": "62.6", "wps": "249", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "40150", "lr": "0.000132337", "gnorm": "3.658", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10107"} +2023-01-29 19:00:11 | INFO | train_inner | {"epoch": 19, "update": 18.581, "s2c_loss": "0.16", "loss": "0.11098", "s2c_nll_loss": "0.16", "s2c_accuracy": "97.5", "s2c_total": "64", "s2c_n_correct": "62.4", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "40160", "lr": "0.00013227", "gnorm": "3.447", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10109"} +2023-01-29 19:00:14 | INFO | train_inner | {"epoch": 19, 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train_inner | {"epoch": 19, "update": 18.609, "s2c_loss": "0.16", "loss": "0.11108", "s2c_nll_loss": "0.16", "s2c_accuracy": "97.5", "s2c_total": "64", "s2c_n_correct": "62.4", "wps": "258", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "40220", "lr": "0.00013187", "gnorm": "3.363", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10124"} +2023-01-29 19:00:29 | INFO | train_inner | {"epoch": 19, "update": 18.614, "s2c_loss": "0.167", "loss": "0.11546", "s2c_nll_loss": "0.167", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "40230", "lr": "0.000131803", "gnorm": "3.669", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10127"} +2023-01-29 19:00:32 | INFO | train_inner | {"epoch": 19, "update": 18.618, "s2c_loss": "0.284", "loss": "0.19696", "s2c_nll_loss": "0.284", "s2c_accuracy": "95.625", "s2c_total": "64", "s2c_n_correct": "61.2", "wps": 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+2023-01-29 19:00:39 | INFO | train_inner | {"epoch": 19, "update": 18.632, "s2c_loss": "0.15", "loss": "0.10398", "s2c_nll_loss": "0.15", "s2c_accuracy": "97.344", "s2c_total": "64", "s2c_n_correct": "62.3", "wps": "251", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "40270", "lr": "0.000131537", "gnorm": "3.375", "loss_scale": "512", "train_wall": "3", "gb_free": "7.4", "wall": "10137"} +2023-01-29 19:00:42 | INFO | train_inner | {"epoch": 19, "update": 18.637, "s2c_loss": "0.166", "loss": "0.11494", "s2c_nll_loss": "0.166", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": "256", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "40280", "lr": "0.00013147", "gnorm": "4.133", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10140"} +2023-01-29 19:00:44 | INFO | train_inner | {"epoch": 19, "update": 18.642, "s2c_loss": "0.257", "loss": "0.17824", "s2c_nll_loss": "0.257", "s2c_accuracy": "95.312", "s2c_total": "64", 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"gb_free": "7.3", "wall": "10147"} +2023-01-29 19:00:52 | INFO | train_inner | {"epoch": 19, "update": 18.655, "s2c_loss": "0.155", "loss": "0.1073", "s2c_nll_loss": "0.155", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", "wps": "254.7", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "40320", "lr": "0.000131203", "gnorm": "3.718", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10150"} +2023-01-29 19:00:54 | INFO | train_inner | {"epoch": 19, "update": 18.66, "s2c_loss": "0.169", "loss": "0.11709", "s2c_nll_loss": "0.169", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "40330", "lr": "0.000131137", "gnorm": "3.668", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10152"} +2023-01-29 19:00:57 | INFO | train_inner | {"epoch": 19, "update": 18.665, "s2c_loss": "0.209", "loss": "0.14497", "s2c_nll_loss": "0.209", 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"wpb": "64", "bsz": "64", "num_updates": "40880", "lr": "0.00012747", "gnorm": "4.904", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10292"} +2023-01-29 19:03:16 | INFO | train_inner | {"epoch": 19, "update": 18.919, "s2c_loss": "0.142", "loss": "0.09814", "s2c_nll_loss": "0.142", "s2c_accuracy": "97.188", "s2c_total": "64", "s2c_n_correct": "62.2", "wps": "254.9", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "40890", "lr": "0.000127404", "gnorm": "3.575", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10294"} +2023-01-29 19:03:19 | INFO | train_inner | {"epoch": 19, "update": 18.924, "s2c_loss": "0.199", "loss": "0.13777", "s2c_nll_loss": "0.199", "s2c_accuracy": "96.875", "s2c_total": "64", "s2c_n_correct": "62", "wps": "250.1", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "40900", "lr": "0.000127337", "gnorm": "4.332", "loss_scale": "512", "train_wall": "3", "gb_free": "7.4", "wall": "10297"} +2023-01-29 19:03:21 | INFO | train_inner | {"epoch": 19, "update": 18.928, "s2c_loss": "0.192", "loss": "0.13326", "s2c_nll_loss": "0.192", "s2c_accuracy": "96.875", "s2c_total": "64", "s2c_n_correct": "62", "wps": "248.3", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "40910", "lr": "0.00012727", "gnorm": "3.581", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10299"} +2023-01-29 19:03:24 | INFO | train_inner | {"epoch": 19, "update": 18.933, "s2c_loss": "0.151", "loss": "0.1049", "s2c_nll_loss": "0.151", "s2c_accuracy": "96.406", "s2c_total": "64", "s2c_n_correct": "61.7", "wps": "249.7", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "40920", "lr": "0.000127204", "gnorm": "3.808", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10302"} +2023-01-29 19:03:26 | INFO | train_inner | {"epoch": 19, "update": 18.938, "s2c_loss": "0.204", "loss": "0.14151", "s2c_nll_loss": "0.204", "s2c_accuracy": "96.562", "s2c_total": "64", "s2c_n_correct": "61.8", "wps": 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+2023-01-29 19:03:34 | INFO | train_inner | {"epoch": 19, "update": 18.951, "s2c_loss": "0.198", "loss": "0.13733", "s2c_nll_loss": "0.198", "s2c_accuracy": "96.094", "s2c_total": "64", "s2c_n_correct": "61.5", "wps": "250.9", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "40960", "lr": "0.000126937", "gnorm": "5.05", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10312"} +2023-01-29 19:03:37 | INFO | train_inner | {"epoch": 19, "update": 18.956, "s2c_loss": "0.166", "loss": "0.11532", "s2c_nll_loss": "0.166", "s2c_accuracy": "96.406", "s2c_total": "64", "s2c_n_correct": "61.7", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "40970", "lr": "0.00012687", "gnorm": "3.788", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10315"} +2023-01-29 19:03:39 | INFO | train_inner | {"epoch": 19, "update": 18.961, "s2c_loss": "0.164", "loss": "0.11386", "s2c_nll_loss": "0.164", "s2c_accuracy": "97.188", "s2c_total": "64", "s2c_n_correct": "62.2", "wps": "249.9", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "40980", "lr": "0.000126804", "gnorm": "3.53", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10317"} +2023-01-29 19:03:42 | INFO | train_inner | {"epoch": 19, "update": 18.965, "s2c_loss": "0.119", "loss": "0.08282", "s2c_nll_loss": "0.119", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "252.2", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "40990", "lr": "0.000126737", "gnorm": "3.17", "loss_scale": "512", "train_wall": "3", "gb_free": "7.2", "wall": "10320"} +2023-01-29 19:03:44 | INFO | train_inner | {"epoch": 19, "update": 18.97, "s2c_loss": "0.146", "loss": "0.10127", "s2c_nll_loss": "0.146", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", "wps": "254.2", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "41000", "lr": "0.00012667", "gnorm": "3.834", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10322"} +2023-01-29 19:03:47 | INFO | train_inner | {"epoch": 19, "update": 18.975, "s2c_loss": "0.146", "loss": "0.10096", "s2c_nll_loss": "0.146", "s2c_accuracy": "97.188", "s2c_total": "64", "s2c_n_correct": "62.2", "wps": "256.5", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "41010", "lr": "0.000126604", "gnorm": "3.795", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10325"} +2023-01-29 19:03:49 | INFO | train_inner | {"epoch": 19, "update": 18.979, "s2c_loss": "0.192", "loss": "0.13283", "s2c_nll_loss": "0.192", "s2c_accuracy": "97.344", "s2c_total": "64", "s2c_n_correct": "62.3", "wps": "258.7", "ups": "4.04", "wpb": "64", "bsz": "64", "num_updates": "41020", "lr": "0.000126537", "gnorm": "4.954", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10327"} +2023-01-29 19:03:52 | INFO | train_inner | {"epoch": 19, "update": 18.984, "s2c_loss": "0.196", "loss": "0.13564", "s2c_nll_loss": "0.196", "s2c_accuracy": 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"512", "train_wall": "2", "gb_free": "7.3", "wall": "10335"} +2023-01-29 19:03:59 | INFO | train_inner | {"epoch": 19, "update": 18.998, "s2c_loss": "0.298", "loss": "0.20635", "s2c_nll_loss": "0.298", "s2c_accuracy": "95", "s2c_total": "64", "s2c_n_correct": "60.8", "wps": "258.9", "ups": "4.05", "wpb": "64", "bsz": "64", "num_updates": "41060", "lr": "0.00012627", "gnorm": "4.176", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10337"} +2023-01-29 19:04:00 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 19:04:15 | INFO | valid | {"epoch": 19, "valid_s2c_loss": "0.831", "valid_loss": "0.57618", "valid_s2c_nll_loss": "0.831", "valid_s2c_accuracy": "85.905", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "27.4537", "valid_num_updates": "41065", "valid_best_s2c_accuracy": "87.962"} +2023-01-29 19:04:15 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 19 @ 41065 updates +2023-01-29 19:04:15 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 19:04:22 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 19:04:22 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 19 @ 41065 updates, score 85.905) (writing took 7.004900731146336 seconds) +2023-01-29 19:04:22 | INFO | fairseq_cli.train | end of epoch 19 (average epoch stats below) +2023-01-29 19:04:22 | INFO | train | {"epoch": 19, "train_s2c_loss": "0.2", "train_loss": "0.13881", "train_s2c_nll_loss": "0.2", "train_s2c_accuracy": "96.45", "train_s2c_total": "63.9838", "train_s2c_n_correct": "61.7122", "train_wps": "229.3", "train_ups": "3.58", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "41065", "train_lr": "0.000126237", "train_gnorm": "4.088", "train_loss_scale": "512", 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"train_wall": "2", "gb_free": "7.2", "wall": "10370"} +2023-01-29 19:04:35 | INFO | train_inner | {"epoch": 20, "update": 19.012, "s2c_loss": "0.222", "loss": "0.15367", "s2c_nll_loss": "0.222", "s2c_accuracy": "96.094", "s2c_total": "64", "s2c_n_correct": "61.5", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "41090", "lr": "0.00012607", "gnorm": "5.081", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10373"} +2023-01-29 19:04:37 | INFO | train_inner | {"epoch": 20, "update": 19.016, "s2c_loss": "0.142", "loss": "0.09857", "s2c_nll_loss": "0.142", "s2c_accuracy": "97.656", "s2c_total": "64", "s2c_n_correct": "62.5", "wps": "253.1", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "41100", "lr": "0.000126004", "gnorm": "3.5", "loss_scale": "512", "train_wall": "2", "gb_free": "7.2", "wall": "10375"} +2023-01-29 19:04:40 | INFO | train_inner | {"epoch": 20, "update": 19.021, "s2c_loss": "0.184", "loss": "0.12756", "s2c_nll_loss": 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19:05:30 | INFO | train_inner | {"epoch": 20, "update": 19.113, "s2c_loss": "0.141", "loss": "0.09799", "s2c_nll_loss": "0.141", "s2c_accuracy": "96.875", "s2c_total": "64", "s2c_n_correct": "62", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "41310", "lr": "0.000124604", "gnorm": "3.69", "loss_scale": "512", "train_wall": "2", "gb_free": "7.3", "wall": "10428"} +2023-01-29 19:05:33 | INFO | train_inner | {"epoch": 20, "update": 19.118, "s2c_loss": "0.12", "loss": "0.0835", "s2c_nll_loss": "0.12", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "249", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "41320", "lr": "0.000124537", "gnorm": "3.36", "loss_scale": "512", "train_wall": "3", "gb_free": "7.3", "wall": "10431"} +2023-01-29 19:05:35 | INFO | train_inner | {"epoch": 20, "update": 19.123, "s2c_loss": "0.214", "loss": "0.14841", "s2c_nll_loss": "0.214", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", 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"s2c_accuracy": "95.156", "s2c_total": "64", "s2c_n_correct": "60.9", "wps": "253.1", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "43200", "lr": "0.000112004", "gnorm": "4.032", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "10906"} +2023-01-29 19:13:31 | INFO | train_inner | {"epoch": 20, "update": 19.992, "s2c_loss": "0.155", "loss": "0.1071", "s2c_nll_loss": "0.155", "s2c_accuracy": "97.188", "s2c_total": "64", "s2c_n_correct": "62.2", "wps": "255", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "43210", "lr": "0.000111938", "gnorm": "3.332", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.2", "wall": "10908"} +2023-01-29 19:13:33 | INFO | train_inner | {"epoch": 20, "update": 19.997, "s2c_loss": "0.175", "loss": "0.12163", "s2c_nll_loss": "0.175", "s2c_accuracy": "96.406", "s2c_total": "64", "s2c_n_correct": "61.7", "wps": "256.2", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "43220", "lr": "0.000111871", "gnorm": "3.563", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.4", "wall": "10911"} +2023-01-29 19:13:35 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 19:13:49 | INFO | valid | {"epoch": 20, "valid_s2c_loss": "0.669", "valid_loss": "0.46378", "valid_s2c_nll_loss": "0.669", "valid_s2c_accuracy": "88.614", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "28.3194", "valid_num_updates": "43227", "valid_best_s2c_accuracy": "88.614"} +2023-01-29 19:13:49 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 20 @ 43227 updates +2023-01-29 19:13:49 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:13:56 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:14:01 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 20 @ 43227 updates, score 88.614) (writing took 11.73061581607908 seconds) +2023-01-29 19:14:01 | INFO | fairseq_cli.train | end of epoch 20 (average epoch stats below) +2023-01-29 19:14:01 | INFO | train | {"epoch": 20, "train_s2c_loss": "0.165", "train_loss": "0.11433", "train_s2c_nll_loss": "0.165", "train_s2c_accuracy": "97.143", "train_s2c_total": "63.9838", "train_s2c_n_correct": "62.1559", "train_wps": "239", "train_ups": "3.73", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "43227", "train_lr": "0.000111824", "train_gnorm": "3.638", "train_loss_scale": "1024", "train_train_wall": "539", "train_gb_free": "7.5", "train_wall": "10939"} +2023-01-29 19:14:07 | INFO | fairseq.trainer | begin training epoch 21 +2023-01-29 19:14:07 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 19:14:08 | INFO | train_inner | {"epoch": 21, "update": 20.001, "s2c_loss": "0.19", "loss": "0.13167", "s2c_nll_loss": "0.19", "s2c_accuracy": "97.368", "s2c_total": 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"train_wall": "3", "gb_free": "7.2", "wall": "10951"} +2023-01-29 19:14:16 | INFO | train_inner | {"epoch": 21, "update": 20.015, "s2c_loss": "0.069", "loss": "0.04787", "s2c_nll_loss": "0.069", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "250.4", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "43260", "lr": "0.000111604", "gnorm": "2.215", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "10954"} +2023-01-29 19:14:18 | INFO | train_inner | {"epoch": 21, "update": 20.02, "s2c_loss": "0.08", "loss": "0.0556", "s2c_nll_loss": "0.08", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "43270", "lr": "0.000111538", "gnorm": "2.557", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "10956"} +2023-01-29 19:14:21 | INFO | train_inner | {"epoch": 21, "update": 20.025, "s2c_loss": "0.11", "loss": "0.07655", "s2c_nll_loss": 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"gnorm": "3.611", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.3", "wall": "10964"} +2023-01-29 19:14:29 | INFO | train_inner | {"epoch": 21, "update": 20.038, "s2c_loss": "0.117", "loss": "0.08118", "s2c_nll_loss": "0.117", "s2c_accuracy": "97.188", "s2c_total": "64", "s2c_n_correct": "62.2", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "43310", "lr": "0.000111271", "gnorm": "3.896", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "10967"} +2023-01-29 19:14:31 | INFO | train_inner | {"epoch": 21, "update": 20.043, "s2c_loss": "0.194", "loss": "0.1344", "s2c_nll_loss": "0.194", "s2c_accuracy": "96.094", "s2c_total": "64", "s2c_n_correct": "61.5", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "43320", "lr": "0.000111204", "gnorm": "4.194", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "10969"} +2023-01-29 19:14:34 | INFO | train_inner | {"epoch": 21, "update": 20.048, "s2c_loss": 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19:14:59 | INFO | train_inner | {"epoch": 21, "update": 20.094, "s2c_loss": "0.087", "loss": "0.06024", "s2c_nll_loss": "0.087", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "250.8", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "43430", "lr": "0.000110471", "gnorm": "2.47", "loss_scale": "1024", "train_wall": "3", "gb_free": "7.2", "wall": "10997"} +2023-01-29 19:15:02 | INFO | train_inner | {"epoch": 21, "update": 20.099, "s2c_loss": "0.243", "loss": "0.16837", "s2c_nll_loss": "0.243", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "261.9", "ups": "4.09", "wpb": "64", "bsz": "64", "num_updates": "43440", "lr": "0.000110404", "gnorm": "3.82", "loss_scale": "1024", "train_wall": "2", "gb_free": "7.3", "wall": "11000"} +2023-01-29 19:15:04 | INFO | train_inner | {"epoch": 21, "update": 20.103, "s2c_loss": "0.084", "loss": "0.05818", "s2c_nll_loss": "0.084", "s2c_accuracy": "98.438", "s2c_total": "64", 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19:17:16 | INFO | train_inner | {"epoch": 21, "update": 20.344, "s2c_loss": "0.192", "loss": "0.13285", "s2c_nll_loss": "0.192", "s2c_accuracy": "97.344", "s2c_total": "64", "s2c_n_correct": "62.3", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "43970", "lr": "0.000106871", "gnorm": "3.024", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11134"} +2023-01-29 19:17:19 | INFO | train_inner | {"epoch": 21, "update": 20.348, "s2c_loss": "0.118", "loss": "0.08212", "s2c_nll_loss": "0.118", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "43980", "lr": "0.000106805", "gnorm": "3.118", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11136"} +2023-01-29 19:17:21 | INFO | train_inner | {"epoch": 21, "update": 20.353, "s2c_loss": "0.107", "loss": "0.07408", "s2c_nll_loss": "0.107", "s2c_accuracy": "98.281", "s2c_total": "64", 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INFO | train_inner | {"epoch": 21, "update": 20.843, "s2c_loss": "0.13", "loss": "0.08997", "s2c_nll_loss": "0.13", "s2c_accuracy": "97.5", "s2c_total": "64", "s2c_n_correct": "62.4", "wps": "256.2", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "45050", "lr": "9.96717e-05", "gnorm": "4.051", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11407"} +2023-01-29 19:21:51 | INFO | train_inner | {"epoch": 21, "update": 20.848, "s2c_loss": "0.116", "loss": "0.08061", "s2c_nll_loss": "0.116", "s2c_accuracy": "97.969", "s2c_total": "64", "s2c_n_correct": "62.7", "wps": "255.2", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "45060", "lr": "9.9605e-05", "gnorm": "3.665", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11409"} +2023-01-29 19:21:54 | INFO | train_inner | {"epoch": 21, "update": 20.852, "s2c_loss": "0.151", "loss": "0.10496", "s2c_nll_loss": "0.151", "s2c_accuracy": "97.344", "s2c_total": "64", "s2c_n_correct": "62.3", "wps": 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{"epoch": 21, "update": 20.968, "s2c_loss": "0.102", "loss": "0.07036", "s2c_nll_loss": "0.102", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "45320", "lr": "9.78718e-05", "gnorm": "3.774", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11475"} +2023-01-29 19:23:00 | INFO | train_inner | {"epoch": 21, "update": 20.973, "s2c_loss": "0.17", "loss": "0.1176", "s2c_nll_loss": "0.17", "s2c_accuracy": "96.25", "s2c_total": "64", "s2c_n_correct": "61.6", "wps": "247.2", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "45330", "lr": "9.78051e-05", "gnorm": "3.829", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11478"} +2023-01-29 19:23:02 | INFO | train_inner | {"epoch": 21, "update": 20.977, "s2c_loss": "0.124", "loss": "0.08569", "s2c_nll_loss": "0.124", "s2c_accuracy": "97.812", "s2c_total": "64", "s2c_n_correct": "62.6", "wps": "255.1", "ups": 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19:23:10 | INFO | train_inner | {"epoch": 21, "update": 20.991, "s2c_loss": "0.111", "loss": "0.07662", "s2c_nll_loss": "0.111", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "248.5", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "45370", "lr": "9.75385e-05", "gnorm": "3.126", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11488"} +2023-01-29 19:23:12 | INFO | train_inner | {"epoch": 21, "update": 20.996, "s2c_loss": "0.152", "loss": "0.10546", "s2c_nll_loss": "0.152", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "255", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "45380", "lr": "9.74718e-05", "gnorm": "3.466", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11490"} +2023-01-29 19:23:15 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 19:23:29 | INFO | valid | {"epoch": 21, "valid_s2c_loss": "0.551", "valid_loss": "0.38198", "valid_s2c_nll_loss": "0.551", "valid_s2c_accuracy": "90.019", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "28.7685", "valid_num_updates": "45389", "valid_best_s2c_accuracy": "90.019"} +2023-01-29 19:23:29 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 21 @ 45389 updates +2023-01-29 19:23:29 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:23:36 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:23:41 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 21 @ 45389 updates, score 90.019) (writing took 11.87856262922287 seconds) +2023-01-29 19:23:41 | INFO | fairseq_cli.train | end of epoch 21 (average epoch stats below) +2023-01-29 19:23:41 | INFO | train | {"epoch": 21, "train_s2c_loss": "0.132", "train_loss": "0.09172", "train_s2c_nll_loss": "0.132", "train_s2c_accuracy": "97.74", "train_s2c_total": "63.9838", "train_s2c_n_correct": "62.5375", "train_wps": "238.5", "train_ups": "3.73", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "45389", "train_lr": "9.74118e-05", "train_gnorm": "3.213", "train_loss_scale": "2048", "train_train_wall": "540", "train_gb_free": "7.5", "train_wall": "11519"} +2023-01-29 19:23:48 | INFO | fairseq.trainer | begin training epoch 22 +2023-01-29 19:23:48 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 19:23:48 | INFO | train_inner | {"epoch": 22, "update": 21.0, "s2c_loss": "0.133", "loss": "0.09206", "s2c_nll_loss": "0.133", "s2c_accuracy": "98.026", "s2c_total": "60.8", "s2c_n_correct": "59.6", "wps": "17.1", "ups": "0.28", "wpb": "60.8", "bsz": "60.8", "num_updates": "45390", "lr": "9.74051e-05", "gnorm": "3.058", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11526"} +2023-01-29 19:23:50 | INFO | train_inner | {"epoch": 22, "update": 21.005, "s2c_loss": "0.073", "loss": "0.05083", "s2c_nll_loss": "0.073", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "249.9", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "45400", "lr": "9.73385e-05", "gnorm": "1.996", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11528"} +2023-01-29 19:23:53 | INFO | train_inner | {"epoch": 22, "update": 21.01, "s2c_loss": "0.116", "loss": "0.08069", "s2c_nll_loss": "0.116", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "254.2", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "45410", "lr": "9.72718e-05", "gnorm": "2.469", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11531"} +2023-01-29 19:23:55 | INFO | train_inner | {"epoch": 22, "update": 21.014, "s2c_loss": "0.077", "loss": "0.05324", "s2c_nll_loss": "0.077", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", 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"11538"} +2023-01-29 19:24:03 | INFO | train_inner | {"epoch": 22, "update": 21.028, "s2c_loss": "0.138", "loss": "0.09536", "s2c_nll_loss": "0.138", "s2c_accuracy": "97.969", "s2c_total": "64", "s2c_n_correct": "62.7", "wps": "245.6", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "45450", "lr": "9.70052e-05", "gnorm": "2.661", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11541"} +2023-01-29 19:24:06 | INFO | train_inner | {"epoch": 22, "update": 21.033, "s2c_loss": "0.082", "loss": "0.05653", "s2c_nll_loss": "0.082", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "251.5", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "45460", "lr": "9.69385e-05", "gnorm": "2.389", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11544"} +2023-01-29 19:24:08 | INFO | train_inner | {"epoch": 22, "update": 21.037, "s2c_loss": "0.08", "loss": "0.05545", "s2c_nll_loss": "0.08", "s2c_accuracy": "99.219", "s2c_total": 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"lr": "9.60719e-05", "gnorm": "2.6", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11576"} +2023-01-29 19:24:41 | INFO | train_inner | {"epoch": 22, "update": 21.098, "s2c_loss": "0.095", "loss": "0.06601", "s2c_nll_loss": "0.095", "s2c_accuracy": "97.969", "s2c_total": "64", "s2c_n_correct": "62.7", "wps": "259.6", "ups": "4.06", "wpb": "64", "bsz": "64", "num_updates": "45600", "lr": "9.60052e-05", "gnorm": "2.947", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11579"} +2023-01-29 19:24:43 | INFO | train_inner | {"epoch": 22, "update": 21.102, "s2c_loss": "0.094", "loss": "0.06518", "s2c_nll_loss": "0.094", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "258.1", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "45610", "lr": "9.59385e-05", "gnorm": "2.98", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11581"} +2023-01-29 19:24:46 | INFO | train_inner | {"epoch": 22, "update": 21.107, "s2c_loss": "0.089", "loss": "0.06141", "s2c_nll_loss": "0.089", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "252.2", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "45620", "lr": "9.58719e-05", "gnorm": "3.744", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11584"} +2023-01-29 19:24:49 | INFO | train_inner | {"epoch": 22, "update": 21.111, "s2c_loss": "0.109", "loss": "0.0755", "s2c_nll_loss": "0.109", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "45630", "lr": "9.58052e-05", "gnorm": "2.681", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11586"} +2023-01-29 19:24:51 | INFO | train_inner | {"epoch": 22, "update": 21.116, "s2c_loss": "0.141", "loss": "0.09796", "s2c_nll_loss": "0.141", "s2c_accuracy": "97.812", "s2c_total": "64", "s2c_n_correct": "62.6", "wps": "251.8", "ups": "3.93", "wpb": "64", "bsz": 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{"epoch": 22, "update": 21.13, "s2c_loss": "0.061", "loss": "0.04249", "s2c_nll_loss": "0.061", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "258.4", "ups": "4.04", "wpb": "64", "bsz": "64", "num_updates": "45670", "lr": "9.55386e-05", "gnorm": "1.698", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11596"} +2023-01-29 19:25:01 | INFO | train_inner | {"epoch": 22, "update": 21.135, "s2c_loss": "0.112", "loss": "0.07737", "s2c_nll_loss": "0.112", "s2c_accuracy": "97.969", "s2c_total": "64", "s2c_n_correct": "62.7", "wps": "256.7", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "45680", "lr": "9.54719e-05", "gnorm": "2.489", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11599"} +2023-01-29 19:25:04 | INFO | train_inner | {"epoch": 22, "update": 21.139, "s2c_loss": "0.047", "loss": "0.0324", "s2c_nll_loss": "0.047", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "249", "ups": 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19:25:11 | INFO | train_inner | {"epoch": 22, "update": 21.153, "s2c_loss": "0.066", "loss": "0.04599", "s2c_nll_loss": "0.066", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "257.2", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "45720", "lr": "9.52052e-05", "gnorm": "2.508", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11609"} +2023-01-29 19:25:14 | INFO | train_inner | {"epoch": 22, "update": 21.158, "s2c_loss": "0.066", "loss": "0.04568", "s2c_nll_loss": "0.066", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "45730", "lr": "9.51386e-05", "gnorm": "2.549", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11612"} +2023-01-29 19:25:16 | INFO | train_inner | {"epoch": 22, "update": 21.162, "s2c_loss": "0.088", "loss": "0.0609", "s2c_nll_loss": "0.088", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "253.5", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "45740", "lr": "9.50719e-05", "gnorm": "2.44", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11614"} +2023-01-29 19:25:19 | INFO | train_inner | {"epoch": 22, "update": 21.167, "s2c_loss": "0.095", "loss": "0.06592", "s2c_nll_loss": "0.095", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "45750", "lr": "9.50053e-05", "gnorm": "2.605", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11617"} +2023-01-29 19:25:21 | INFO | train_inner | {"epoch": 22, "update": 21.172, "s2c_loss": "0.064", "loss": "0.0447", "s2c_nll_loss": "0.064", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "252.3", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "45760", "lr": "9.49386e-05", "gnorm": "2.536", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11619"} +2023-01-29 19:25:24 | INFO | train_inner | {"epoch": 22, "update": 21.176, "s2c_loss": "0.128", "loss": "0.08907", "s2c_nll_loss": "0.128", "s2c_accuracy": "97.344", "s2c_total": "64", "s2c_n_correct": "62.3", "wps": "253.6", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "45770", "lr": "9.48719e-05", "gnorm": "3.962", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11622"} +2023-01-29 19:25:26 | INFO | train_inner | {"epoch": 22, "update": 21.181, "s2c_loss": "0.118", "loss": "0.08176", "s2c_nll_loss": "0.118", "s2c_accuracy": "97.5", "s2c_total": "64", "s2c_n_correct": "62.4", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "45780", "lr": "9.48053e-05", "gnorm": "4.342", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11624"} +2023-01-29 19:25:29 | INFO | train_inner | {"epoch": 22, "update": 21.185, "s2c_loss": "0.089", "loss": "0.06184", "s2c_nll_loss": "0.089", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "45790", "lr": "9.47386e-05", "gnorm": "2.57", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "11627"} +2023-01-29 19:25:30 | INFO | fairseq.trainer | NOTE: gradient overflow detected, ignoring gradient, setting loss scale to: 2048.0 +2023-01-29 19:25:32 | INFO | train_inner | {"epoch": 22, "update": 21.191, "s2c_loss": "0.084", "loss": "0.0581", "s2c_nll_loss": "0.084", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "234.8", "ups": "3.67", "wpb": "64", "bsz": "64", "num_updates": "45800", "lr": "9.46719e-05", "gnorm": "2.628", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11630"} +2023-01-29 19:25:34 | INFO | train_inner | {"epoch": 22, "update": 21.195, "s2c_loss": "0.067", "loss": "0.04659", "s2c_nll_loss": "0.067", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": 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"wall": "11637"} +2023-01-29 19:25:42 | INFO | train_inner | {"epoch": 22, "update": 21.209, "s2c_loss": "0.105", "loss": "0.07309", "s2c_nll_loss": "0.105", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "258.2", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "45840", "lr": "9.44053e-05", "gnorm": "2.641", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11640"} +2023-01-29 19:25:44 | INFO | train_inner | {"epoch": 22, "update": 21.214, "s2c_loss": "0.156", "loss": "0.10822", "s2c_nll_loss": "0.156", "s2c_accuracy": "96.875", "s2c_total": "64", "s2c_n_correct": "62", "wps": "256.3", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "45850", "lr": "9.43386e-05", "gnorm": "3.722", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11642"} +2023-01-29 19:25:47 | INFO | train_inner | {"epoch": 22, "update": 21.218, "s2c_loss": "0.085", "loss": "0.05872", "s2c_nll_loss": "0.085", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "45860", "lr": "9.4272e-05", "gnorm": "2.803", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11645"} +2023-01-29 19:25:49 | INFO | train_inner | {"epoch": 22, "update": 21.223, "s2c_loss": "0.132", "loss": "0.09169", "s2c_nll_loss": "0.132", "s2c_accuracy": "97.5", "s2c_total": "64", "s2c_n_correct": "62.4", "wps": "254.9", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "45870", "lr": "9.42053e-05", "gnorm": "4.883", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "11647"} +2023-01-29 19:25:52 | INFO | train_inner | {"epoch": 22, "update": 21.228, "s2c_loss": "0.129", "loss": "0.0896", "s2c_nll_loss": "0.129", "s2c_accuracy": "97.656", "s2c_total": "64", "s2c_n_correct": "62.5", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "45880", "lr": "9.41386e-05", "gnorm": "3.417", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "11650"} +2023-01-29 19:25:54 | INFO | train_inner | {"epoch": 22, "update": 21.232, "s2c_loss": "0.104", "loss": "0.07175", "s2c_nll_loss": "0.104", "s2c_accuracy": "97.969", "s2c_total": "64", "s2c_n_correct": "62.7", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "45890", "lr": "9.4072e-05", "gnorm": "3.442", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11652"} +2023-01-29 19:25:57 | INFO | train_inner | {"epoch": 22, "update": 21.237, "s2c_loss": "0.14", "loss": "0.09693", "s2c_nll_loss": "0.14", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "45900", "lr": "9.40053e-05", "gnorm": "2.864", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11655"} +2023-01-29 19:25:59 | INFO | train_inner | {"epoch": 22, "update": 21.241, "s2c_loss": "0.14", "loss": "0.09705", "s2c_nll_loss": 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"2.45", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11662"} +2023-01-29 19:26:07 | INFO | train_inner | {"epoch": 22, "update": 21.255, "s2c_loss": "0.121", "loss": "0.08371", "s2c_nll_loss": "0.121", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "250.8", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "45940", "lr": "9.37386e-05", "gnorm": "2.808", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11665"} +2023-01-29 19:26:09 | INFO | train_inner | {"epoch": 22, "update": 21.26, "s2c_loss": "0.07", "loss": "0.0487", "s2c_nll_loss": "0.07", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "45950", "lr": "9.3672e-05", "gnorm": "1.976", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11667"} +2023-01-29 19:26:12 | INFO | train_inner | {"epoch": 22, "update": 21.265, "s2c_loss": "0.064", "loss": 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"lr": "9.3472e-05", "gnorm": "3.092", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11675"} +2023-01-29 19:26:19 | INFO | train_inner | {"epoch": 22, "update": 21.278, "s2c_loss": "0.11", "loss": "0.07651", "s2c_nll_loss": "0.11", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "254", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "45990", "lr": "9.34053e-05", "gnorm": "3.006", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11677"} +2023-01-29 19:26:22 | INFO | train_inner | {"epoch": 22, "update": 21.283, "s2c_loss": "0.083", "loss": "0.05773", "s2c_nll_loss": "0.083", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "46000", "lr": "9.33387e-05", "gnorm": "2.808", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11680"} +2023-01-29 19:26:24 | INFO | train_inner | {"epoch": 22, "update": 21.288, "s2c_loss": "0.102", "loss": "0.07084", "s2c_nll_loss": "0.102", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "257.1", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "46010", "lr": "9.3272e-05", "gnorm": "2.172", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11682"} +2023-01-29 19:26:27 | INFO | train_inner | {"epoch": 22, "update": 21.292, "s2c_loss": "0.087", "loss": "0.06053", "s2c_nll_loss": "0.087", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "250", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "46020", "lr": "9.32053e-05", "gnorm": "3.598", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11685"} +2023-01-29 19:26:30 | INFO | train_inner | {"epoch": 22, "update": 21.297, "s2c_loss": "0.083", "loss": "0.05757", "s2c_nll_loss": "0.083", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "252.6", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "46030", "lr": "9.31387e-05", "gnorm": "2.589", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11688"} +2023-01-29 19:26:32 | INFO | train_inner | {"epoch": 22, "update": 21.302, "s2c_loss": "0.114", "loss": "0.07905", "s2c_nll_loss": "0.114", "s2c_accuracy": "97.969", "s2c_total": "64", "s2c_n_correct": "62.7", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "46040", "lr": "9.3072e-05", "gnorm": "3.027", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11690"} +2023-01-29 19:26:35 | INFO | train_inner | {"epoch": 22, "update": 21.306, "s2c_loss": "0.185", "loss": "0.12853", "s2c_nll_loss": "0.185", "s2c_accuracy": "96.25", "s2c_total": "64", "s2c_n_correct": "61.6", "wps": "261.1", "ups": "4.08", "wpb": "64", "bsz": "64", "num_updates": "46050", "lr": "9.30054e-05", "gnorm": "3.34", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11692"} +2023-01-29 19:26:37 | INFO | train_inner | {"epoch": 22, "update": 21.311, "s2c_loss": "0.11", "loss": "0.07623", "s2c_nll_loss": "0.11", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "46060", "lr": "9.29387e-05", "gnorm": "2.64", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11695"} +2023-01-29 19:26:40 | INFO | train_inner | {"epoch": 22, "update": 21.315, "s2c_loss": "0.101", "loss": "0.07032", "s2c_nll_loss": "0.101", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "46070", "lr": "9.2872e-05", "gnorm": "2.79", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11698"} +2023-01-29 19:26:42 | INFO | train_inner | {"epoch": 22, "update": 21.32, "s2c_loss": "0.304", "loss": "0.21046", "s2c_nll_loss": "0.304", "s2c_accuracy": "96.25", "s2c_total": "64", "s2c_n_correct": "61.6", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "46080", "lr": "9.28054e-05", "gnorm": "2.983", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "11700"} +2023-01-29 19:26:45 | INFO | train_inner | {"epoch": 22, "update": 21.325, "s2c_loss": "0.109", "loss": "0.07554", "s2c_nll_loss": "0.109", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "246.8", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "46090", "lr": "9.27387e-05", "gnorm": "2.76", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "11703"} +2023-01-29 19:26:47 | INFO | train_inner | {"epoch": 22, "update": 21.329, "s2c_loss": "0.091", "loss": "0.0633", "s2c_nll_loss": "0.091", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "255", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "46100", "lr": "9.2672e-05", "gnorm": "2.482", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11705"} +2023-01-29 19:26:50 | INFO | train_inner | {"epoch": 22, "update": 21.334, "s2c_loss": "0.1", "loss": "0.06945", "s2c_nll_loss": "0.1", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "46110", "lr": "9.26054e-05", "gnorm": "2.697", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11708"} +2023-01-29 19:26:52 | INFO | train_inner | {"epoch": 22, "update": 21.339, "s2c_loss": "0.074", "loss": "0.05134", "s2c_nll_loss": "0.074", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "256.9", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "46120", "lr": "9.25387e-05", "gnorm": "2.078", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11710"} +2023-01-29 19:26:55 | INFO | train_inner | {"epoch": 22, "update": 21.343, "s2c_loss": "0.113", "loss": "0.0786", "s2c_nll_loss": "0.113", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": 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19:28:11 | INFO | train_inner | {"epoch": 22, "update": 21.482, "s2c_loss": "0.107", "loss": "0.07396", "s2c_nll_loss": "0.107", "s2c_accuracy": "97.812", "s2c_total": "64", "s2c_n_correct": "62.6", "wps": "258.1", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "46430", "lr": "9.04721e-05", "gnorm": "3.278", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "11788"} +2023-01-29 19:28:13 | INFO | train_inner | {"epoch": 22, "update": 21.487, "s2c_loss": "0.079", "loss": "0.05456", "s2c_nll_loss": "0.079", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "46440", "lr": "9.04055e-05", "gnorm": "2.392", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11791"} +2023-01-29 19:28:16 | INFO | train_inner | {"epoch": 22, "update": 21.491, "s2c_loss": "0.094", "loss": "0.06549", "s2c_nll_loss": "0.094", "s2c_accuracy": "98.125", "s2c_total": "64", 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19:29:19 | INFO | train_inner | {"epoch": 22, "update": 21.607, "s2c_loss": "0.114", "loss": "0.07916", "s2c_nll_loss": "0.114", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "244.3", "ups": "3.82", "wpb": "64", "bsz": "64", "num_updates": "46700", "lr": "8.86722e-05", "gnorm": "2.45", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11857"} +2023-01-29 19:29:21 | INFO | train_inner | {"epoch": 22, "update": 21.611, "s2c_loss": "0.084", "loss": "0.05815", "s2c_nll_loss": "0.084", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "249.6", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "46710", "lr": "8.86056e-05", "gnorm": "2.623", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "11859"} +2023-01-29 19:29:24 | INFO | train_inner | {"epoch": 22, "update": 21.616, "s2c_loss": "0.104", "loss": "0.07215", "s2c_nll_loss": "0.104", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": 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19:32:54 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 19:33:09 | INFO | valid | {"epoch": 22, "valid_s2c_loss": "0.593", "valid_loss": "0.41123", "valid_s2c_nll_loss": "0.593", "valid_s2c_accuracy": "89.845", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "28.713", "valid_num_updates": "47550", "valid_best_s2c_accuracy": "90.019"} +2023-01-29 19:33:09 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 22 @ 47550 updates +2023-01-29 19:33:09 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 19:33:16 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt +2023-01-29 19:33:16 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_last.pt (epoch 22 @ 47550 updates, score 89.845) (writing took 7.029357954859734 seconds) +2023-01-29 19:33:16 | INFO | fairseq_cli.train | end of epoch 22 (average epoch stats below) +2023-01-29 19:33:16 | INFO | train | {"epoch": 22, "train_s2c_loss": "0.103", "train_loss": "0.07153", "train_s2c_nll_loss": "0.103", "train_s2c_accuracy": "98.365", "train_s2c_total": "63.9838", "train_s2c_n_correct": "62.9375", "train_wps": "240.6", "train_ups": "3.76", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "47550", "train_lr": "8.30059e-05", "train_gnorm": "2.752", "train_loss_scale": "2048", "train_train_wall": "539", "train_gb_free": "7.4", "train_wall": "12094"} +2023-01-29 19:33:22 | INFO | fairseq.trainer | begin training epoch 23 +2023-01-29 19:33:22 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 19:33:25 | INFO | train_inner | {"epoch": 23, "update": 22.005, "s2c_loss": "0.108", "loss": "0.07477", "s2c_nll_loss": "0.108", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "20.9", "ups": "0.33", "wpb": "64", "bsz": 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{"epoch": 23, "update": 22.019, "s2c_loss": "0.047", "loss": "0.03283", "s2c_nll_loss": "0.047", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "249.3", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "47590", "lr": "8.27392e-05", "gnorm": "1.795", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12110"} +2023-01-29 19:33:35 | INFO | train_inner | {"epoch": 23, "update": 22.023, "s2c_loss": "0.073", "loss": "0.05077", "s2c_nll_loss": "0.073", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "255.6", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "47600", "lr": "8.26725e-05", "gnorm": "2.766", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12113"} +2023-01-29 19:33:37 | INFO | train_inner | {"epoch": 23, "update": 22.028, "s2c_loss": "0.064", "loss": "0.04433", "s2c_nll_loss": "0.064", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "256.6", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "47610", "lr": "8.26059e-05", "gnorm": "2.046", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12115"} +2023-01-29 19:33:40 | INFO | train_inner | {"epoch": 23, "update": 22.032, "s2c_loss": "0.088", "loss": "0.06113", "s2c_nll_loss": "0.088", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "256.5", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "47620", "lr": "8.25392e-05", "gnorm": "2.216", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12118"} +2023-01-29 19:33:42 | INFO | train_inner | {"epoch": 23, "update": 22.037, "s2c_loss": "0.087", "loss": "0.06056", "s2c_nll_loss": "0.087", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "261.2", "ups": "4.08", "wpb": "64", "bsz": "64", "num_updates": "47630", "lr": "8.24725e-05", "gnorm": "2.422", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12120"} +2023-01-29 19:33:45 | INFO | train_inner | {"epoch": 23, "update": 22.042, "s2c_loss": "0.069", "loss": "0.04772", "s2c_nll_loss": "0.069", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "255.7", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "47640", "lr": "8.24059e-05", "gnorm": "2.083", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12123"} +2023-01-29 19:33:47 | INFO | train_inner | {"epoch": 23, "update": 22.046, "s2c_loss": "0.076", "loss": "0.05235", "s2c_nll_loss": "0.076", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "254.7", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "47650", "lr": "8.23392e-05", "gnorm": "1.853", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12125"} +2023-01-29 19:33:50 | INFO | train_inner | {"epoch": 23, "update": 22.051, "s2c_loss": "0.2", "loss": "0.13833", "s2c_nll_loss": "0.2", "s2c_accuracy": "96.719", "s2c_total": "64", "s2c_n_correct": "61.9", "wps": "256.9", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "47660", "lr": "8.22726e-05", "gnorm": "3.935", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12128"} +2023-01-29 19:33:52 | INFO | train_inner | {"epoch": 23, "update": 22.056, "s2c_loss": "0.11", "loss": "0.07601", "s2c_nll_loss": "0.11", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "255.5", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "47670", "lr": "8.22059e-05", "gnorm": "2.965", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12130"} +2023-01-29 19:33:55 | INFO | train_inner | {"epoch": 23, "update": 22.06, "s2c_loss": "0.057", "loss": "0.03932", "s2c_nll_loss": "0.057", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "47680", "lr": "8.21392e-05", "gnorm": "1.933", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12133"} +2023-01-29 19:33:57 | INFO | train_inner | {"epoch": 23, "update": 22.065, "s2c_loss": "0.056", "loss": "0.03887", "s2c_nll_loss": "0.056", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "47690", "lr": "8.20726e-05", "gnorm": "2.144", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12135"} +2023-01-29 19:34:00 | INFO | train_inner | {"epoch": 23, "update": 22.069, "s2c_loss": "0.052", "loss": "0.03631", "s2c_nll_loss": "0.052", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "254.1", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "47700", "lr": "8.20059e-05", "gnorm": "2.07", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12138"} +2023-01-29 19:34:02 | INFO | train_inner | {"epoch": 23, "update": 22.074, "s2c_loss": "0.047", "loss": "0.03254", "s2c_nll_loss": "0.047", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "260.7", "ups": "4.07", "wpb": "64", "bsz": "64", "num_updates": "47710", "lr": "8.19392e-05", "gnorm": "2.609", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12140"} +2023-01-29 19:34:05 | INFO | train_inner | {"epoch": 23, "update": 22.079, "s2c_loss": "0.074", "loss": "0.05102", "s2c_nll_loss": "0.074", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "258.4", "ups": "4.04", "wpb": "64", "bsz": "64", "num_updates": "47720", "lr": "8.18726e-05", "gnorm": "2.215", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "12143"} +2023-01-29 19:34:07 | INFO | train_inner | {"epoch": 23, "update": 22.083, "s2c_loss": "0.053", "loss": "0.03642", "s2c_nll_loss": "0.053", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "251.6", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "47730", "lr": "8.18059e-05", "gnorm": "2.193", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12145"} +2023-01-29 19:34:10 | INFO | train_inner | {"epoch": 23, "update": 22.088, "s2c_loss": "0.052", "loss": "0.03595", "s2c_nll_loss": "0.052", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "256.5", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "47740", "lr": "8.17392e-05", "gnorm": "1.969", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12148"} +2023-01-29 19:34:12 | INFO | train_inner | {"epoch": 23, "update": 22.093, "s2c_loss": "0.029", "loss": "0.02029", "s2c_nll_loss": "0.029", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "253.1", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "47750", "lr": "8.16726e-05", "gnorm": "1.168", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12150"} +2023-01-29 19:34:15 | INFO | train_inner | {"epoch": 23, "update": 22.097, "s2c_loss": "0.065", "loss": "0.04482", "s2c_nll_loss": "0.065", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "257.1", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "47760", "lr": "8.16059e-05", "gnorm": "2.14", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12153"} +2023-01-29 19:34:17 | INFO | train_inner | {"epoch": 23, "update": 22.102, "s2c_loss": "0.076", "loss": "0.0529", "s2c_nll_loss": "0.076", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "47770", "lr": "8.15393e-05", "gnorm": "2.569", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12155"} +2023-01-29 19:34:20 | INFO | train_inner | {"epoch": 23, "update": 22.106, "s2c_loss": "0.058", "loss": "0.03994", "s2c_nll_loss": "0.058", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "249.4", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": 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"update": 22.12, "s2c_loss": "0.067", "loss": "0.04665", "s2c_nll_loss": "0.067", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "47810", "lr": "8.12726e-05", "gnorm": "2.488", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12166"} +2023-01-29 19:34:30 | INFO | train_inner | {"epoch": 23, "update": 22.125, "s2c_loss": "0.109", "loss": "0.07547", "s2c_nll_loss": "0.109", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "254.2", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "47820", "lr": "8.12059e-05", "gnorm": "2.775", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12168"} +2023-01-29 19:34:33 | INFO | train_inner | {"epoch": 23, "update": 22.13, "s2c_loss": "0.064", "loss": "0.04441", "s2c_nll_loss": "0.064", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "254.6", "ups": "3.98", "wpb": 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| train_inner | {"epoch": 23, "update": 22.143, "s2c_loss": "0.106", "loss": "0.07365", "s2c_nll_loss": "0.106", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "47860", "lr": "8.09393e-05", "gnorm": "2.758", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "12178"} +2023-01-29 19:34:43 | INFO | train_inner | {"epoch": 23, "update": 22.148, "s2c_loss": "0.104", "loss": "0.07203", "s2c_nll_loss": "0.104", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "47870", "lr": "8.08726e-05", "gnorm": "2.444", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12181"} +2023-01-29 19:34:45 | INFO | train_inner | {"epoch": 23, "update": 22.153, "s2c_loss": "0.06", "loss": "0.04169", "s2c_nll_loss": "0.06", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": 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+2023-01-29 19:34:53 | INFO | train_inner | {"epoch": 23, "update": 22.167, "s2c_loss": "0.076", "loss": "0.05286", "s2c_nll_loss": "0.076", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "251.9", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "47910", "lr": "8.0606e-05", "gnorm": "2.341", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "12191"} +2023-01-29 19:34:55 | INFO | train_inner | {"epoch": 23, "update": 22.171, "s2c_loss": "0.07", "loss": "0.04874", "s2c_nll_loss": "0.07", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "254.2", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "47920", "lr": "8.05393e-05", "gnorm": "2.757", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.4", "wall": "12193"} +2023-01-29 19:34:58 | INFO | train_inner | {"epoch": 23, "update": 22.176, "s2c_loss": "0.086", "loss": "0.05964", "s2c_nll_loss": "0.086", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "254.7", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "47930", "lr": "8.04726e-05", "gnorm": "2.827", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "12196"} +2023-01-29 19:35:00 | INFO | train_inner | {"epoch": 23, "update": 22.18, "s2c_loss": "0.08", "loss": "0.05563", "s2c_nll_loss": "0.08", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "249.5", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "47940", "lr": "8.0406e-05", "gnorm": "2.472", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12198"} +2023-01-29 19:35:03 | INFO | train_inner | {"epoch": 23, "update": 22.185, "s2c_loss": "0.073", "loss": "0.05048", "s2c_nll_loss": "0.073", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "255.9", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "47950", "lr": "8.03393e-05", "gnorm": "2.61", "loss_scale": "4096", "train_wall": "2", "gb_free": 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"4096", "train_wall": "2", "gb_free": "7.2", "wall": "12213"} +2023-01-29 19:35:18 | INFO | train_inner | {"epoch": 23, "update": 22.213, "s2c_loss": "0.068", "loss": "0.04729", "s2c_nll_loss": "0.068", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "251.3", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "48010", "lr": "7.99393e-05", "gnorm": "2.305", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12216"} +2023-01-29 19:35:18 | INFO | fairseq.trainer | NOTE: gradient overflow detected, ignoring gradient, setting loss scale to: 2048.0 +2023-01-29 19:35:21 | INFO | train_inner | {"epoch": 23, "update": 22.218, "s2c_loss": "0.065", "loss": "0.04475", "s2c_nll_loss": "0.065", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "231.5", "ups": "3.62", "wpb": "64", "bsz": "64", "num_updates": "48020", "lr": "7.98727e-05", "gnorm": "2.398", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12219"} +2023-01-29 19:35:23 | INFO | train_inner | {"epoch": 23, "update": 22.222, "s2c_loss": "0.066", "loss": "0.04572", "s2c_nll_loss": "0.066", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "48030", "lr": "7.9806e-05", "gnorm": "2.29", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12221"} +2023-01-29 19:35:26 | INFO | train_inner | {"epoch": 23, "update": 22.227, "s2c_loss": "0.063", "loss": "0.04398", "s2c_nll_loss": "0.063", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "48040", "lr": "7.97393e-05", "gnorm": "2.297", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12224"} +2023-01-29 19:35:28 | INFO | train_inner | {"epoch": 23, "update": 22.232, "s2c_loss": "0.104", "loss": "0.07218", "s2c_nll_loss": "0.104", "s2c_accuracy": "98.594", "s2c_total": 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"gb_free": "7.2", "wall": "12231"} +2023-01-29 19:35:36 | INFO | train_inner | {"epoch": 23, "update": 22.246, "s2c_loss": "0.037", "loss": "0.0256", "s2c_nll_loss": "0.037", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "48080", "lr": "7.94727e-05", "gnorm": "1.519", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12234"} +2023-01-29 19:35:38 | INFO | train_inner | {"epoch": 23, "update": 22.25, "s2c_loss": "0.055", "loss": "0.03844", "s2c_nll_loss": "0.055", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "256", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "48090", "lr": "7.9406e-05", "gnorm": "2.077", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12236"} +2023-01-29 19:35:41 | INFO | train_inner | {"epoch": 23, "update": 22.255, "s2c_loss": "0.081", "loss": "0.05588", "s2c_nll_loss": "0.081", "s2c_accuracy": 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| INFO | train_inner | {"epoch": 23, "update": 22.347, "s2c_loss": "0.065", "loss": "0.04518", "s2c_nll_loss": "0.065", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "48300", "lr": "7.80061e-05", "gnorm": "2.102", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12289"} +2023-01-29 19:36:34 | INFO | train_inner | {"epoch": 23, "update": 22.352, "s2c_loss": "0.061", "loss": "0.04204", "s2c_nll_loss": "0.061", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "48310", "lr": "7.79394e-05", "gnorm": "2.362", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12292"} +2023-01-29 19:36:36 | INFO | train_inner | {"epoch": 23, "update": 22.357, "s2c_loss": "0.105", "loss": "0.07287", "s2c_nll_loss": "0.105", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": 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19:41:28 | INFO | train_inner | {"epoch": 23, "update": 22.893, "s2c_loss": "0.052", "loss": "0.03627", "s2c_nll_loss": "0.052", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "49480", "lr": "7.01398e-05", "gnorm": "1.964", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12586"} +2023-01-29 19:41:31 | INFO | train_inner | {"epoch": 23, "update": 22.898, "s2c_loss": "0.063", "loss": "0.04341", "s2c_nll_loss": "0.063", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "255.1", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "49490", "lr": "7.00732e-05", "gnorm": "2.112", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12589"} +2023-01-29 19:41:34 | INFO | train_inner | {"epoch": 23, "update": 22.902, "s2c_loss": "0.064", "loss": "0.04438", "s2c_nll_loss": "0.064", "s2c_accuracy": "98.906", "s2c_total": "64", 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"2048", "train_wall": "2", "gb_free": "7.3", "wall": "12609"} +2023-01-29 19:41:54 | INFO | train_inner | {"epoch": 23, "update": 22.939, "s2c_loss": "0.087", "loss": "0.06007", "s2c_nll_loss": "0.087", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "49580", "lr": "6.94732e-05", "gnorm": "2.58", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12612"} +2023-01-29 19:41:56 | INFO | train_inner | {"epoch": 23, "update": 22.944, "s2c_loss": "0.097", "loss": "0.06689", "s2c_nll_loss": "0.097", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "49590", "lr": "6.94065e-05", "gnorm": "2.753", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12614"} +2023-01-29 19:41:59 | INFO | train_inner | {"epoch": 23, "update": 22.949, "s2c_loss": "0.081", "loss": "0.05591", "s2c_nll_loss": "0.081", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "250.9", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "49600", "lr": "6.93399e-05", "gnorm": "2.611", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12617"} +2023-01-29 19:42:01 | INFO | train_inner | {"epoch": 23, "update": 22.953, "s2c_loss": "0.048", "loss": "0.03361", "s2c_nll_loss": "0.048", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "260.2", "ups": "4.07", "wpb": "64", "bsz": "64", "num_updates": "49610", "lr": "6.92732e-05", "gnorm": "1.692", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12619"} +2023-01-29 19:42:04 | INFO | train_inner | {"epoch": 23, "update": 22.958, "s2c_loss": "0.076", "loss": "0.0526", "s2c_nll_loss": "0.076", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "255.6", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "49620", "lr": 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"s2c_loss": "0.097", "loss": "0.06748", "s2c_nll_loss": "0.097", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "257.3", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "49650", "lr": "6.90065e-05", "gnorm": "2.423", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12629"} +2023-01-29 19:42:14 | INFO | train_inner | {"epoch": 23, "update": 22.976, "s2c_loss": "0.053", "loss": "0.03698", "s2c_nll_loss": "0.053", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "257.9", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "49660", "lr": "6.89399e-05", "gnorm": "1.631", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12632"} +2023-01-29 19:42:16 | INFO | train_inner | {"epoch": 23, "update": 22.981, "s2c_loss": "0.068", "loss": "0.04719", "s2c_nll_loss": "0.068", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "248.5", "ups": "3.88", "wpb": "64", "bsz": 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{"epoch": 23, "update": 22.995, "s2c_loss": "0.112", "loss": "0.07771", "s2c_nll_loss": "0.112", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "252.3", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "49700", "lr": "6.86732e-05", "gnorm": "2.75", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12642"} +2023-01-29 19:42:26 | INFO | train_inner | {"epoch": 23, "update": 23.0, "s2c_loss": "0.149", "loss": "0.10358", "s2c_nll_loss": "0.149", "s2c_accuracy": "97.031", "s2c_total": "64", "s2c_n_correct": "62.1", "wps": "256.4", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "49710", "lr": "6.86066e-05", "gnorm": "4.028", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12644"} +2023-01-29 19:42:26 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 19:42:41 | INFO | valid | {"epoch": 23, "valid_s2c_loss": "0.474", "valid_loss": "0.32819", "valid_s2c_nll_loss": "0.474", "valid_s2c_accuracy": "91.525", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "29.25", "valid_num_updates": "49711", "valid_best_s2c_accuracy": "91.525"} +2023-01-29 19:42:41 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 23 @ 49711 updates +2023-01-29 19:42:41 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:42:48 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:42:53 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 23 @ 49711 updates, score 91.525) (writing took 11.531933432910591 seconds) +2023-01-29 19:42:53 | INFO | fairseq_cli.train | end of epoch 23 (average epoch stats below) +2023-01-29 19:42:53 | INFO | train | {"epoch": 23, "train_s2c_loss": "0.075", "train_loss": "0.05189", "train_s2c_nll_loss": "0.075", "train_s2c_accuracy": "98.826", "train_s2c_total": "63.9838", "train_s2c_n_correct": "63.2328", "train_wps": "239.7", "train_ups": "3.75", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "49711", "train_lr": "6.85999e-05", "train_gnorm": "2.27", "train_loss_scale": "2048", "train_train_wall": "537", "train_gb_free": "7.4", "train_wall": "12670"} +2023-01-29 19:42:59 | INFO | fairseq.trainer | begin training epoch 24 +2023-01-29 19:42:59 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 19:43:01 | INFO | train_inner | {"epoch": 24, "update": 23.004, "s2c_loss": "0.073", "loss": "0.05056", "s2c_nll_loss": "0.073", "s2c_accuracy": "99.178", "s2c_total": "60.8", "s2c_n_correct": "60.3", "wps": "17.3", "ups": "0.29", "wpb": "60.8", "bsz": "60.8", "num_updates": "49720", "lr": "6.85399e-05", "gnorm": "2.275", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12679"} +2023-01-29 19:43:04 | INFO | train_inner | {"epoch": 24, "update": 23.009, "s2c_loss": "0.1", "loss": "0.06949", "s2c_nll_loss": "0.1", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "49730", "lr": "6.84732e-05", "gnorm": "2.091", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12682"} +2023-01-29 19:43:06 | INFO | train_inner | {"epoch": 24, "update": 23.013, "s2c_loss": "0.049", "loss": "0.03394", "s2c_nll_loss": "0.049", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "49740", "lr": "6.84066e-05", "gnorm": "2.062", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12684"} +2023-01-29 19:43:09 | INFO | train_inner | {"epoch": 24, "update": 23.018, "s2c_loss": "0.039", "loss": "0.0272", "s2c_nll_loss": "0.039", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "256.7", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "49750", "lr": "6.83399e-05", "gnorm": "1.443", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12687"} +2023-01-29 19:43:11 | INFO | train_inner | {"epoch": 24, "update": 23.023, "s2c_loss": "0.069", "loss": "0.04756", "s2c_nll_loss": "0.069", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "49760", "lr": "6.82733e-05", "gnorm": "2.104", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12689"} +2023-01-29 19:43:14 | INFO | train_inner | {"epoch": 24, "update": 23.027, "s2c_loss": "0.05", "loss": "0.03436", "s2c_nll_loss": "0.05", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "250.6", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "49770", "lr": "6.82066e-05", "gnorm": "1.369", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12692"} +2023-01-29 19:43:16 | INFO | train_inner | {"epoch": 24, "update": 23.032, "s2c_loss": "0.064", "loss": "0.04439", "s2c_nll_loss": "0.064", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "49780", "lr": "6.81399e-05", "gnorm": "1.35", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12694"} +2023-01-29 19:43:19 | INFO | train_inner | {"epoch": 24, "update": 23.037, "s2c_loss": "0.042", "loss": "0.02941", "s2c_nll_loss": "0.042", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "255.8", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "49790", "lr": "6.80733e-05", "gnorm": "1.749", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "12697"} +2023-01-29 19:43:22 | INFO | train_inner | {"epoch": 24, "update": 23.041, "s2c_loss": "0.075", "loss": "0.05185", "s2c_nll_loss": "0.075", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": 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"wall": "12705"} +2023-01-29 19:43:29 | INFO | train_inner | {"epoch": 24, "update": 23.055, "s2c_loss": "0.07", "loss": "0.04819", "s2c_nll_loss": "0.07", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "254.3", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "49830", "lr": "6.78066e-05", "gnorm": "2.626", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12707"} +2023-01-29 19:43:32 | INFO | train_inner | {"epoch": 24, "update": 23.06, "s2c_loss": "0.053", "loss": "0.03663", "s2c_nll_loss": "0.053", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "49840", "lr": "6.77399e-05", "gnorm": "1.95", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12710"} +2023-01-29 19:43:34 | INFO | train_inner | {"epoch": 24, "update": 23.064, "s2c_loss": "0.055", "loss": "0.03822", "s2c_nll_loss": "0.055", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "251.8", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "49850", "lr": "6.76733e-05", "gnorm": "2.127", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12712"} +2023-01-29 19:43:37 | INFO | train_inner | {"epoch": 24, "update": 23.069, "s2c_loss": "0.055", "loss": "0.03787", "s2c_nll_loss": "0.055", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "49860", "lr": "6.76066e-05", "gnorm": "1.998", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12715"} +2023-01-29 19:43:39 | INFO | train_inner | {"epoch": 24, "update": 23.074, "s2c_loss": "0.03", "loss": "0.02047", "s2c_nll_loss": "0.03", "s2c_accuracy": "99.843", "s2c_total": "63.7", "s2c_n_correct": "63.6", "wps": "251.6", "ups": "3.95", "wpb": "63.7", "bsz": "63.7", "num_updates": "49870", "lr": "6.754e-05", "gnorm": "1.167", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12717"} +2023-01-29 19:43:42 | INFO | train_inner | {"epoch": 24, "update": 23.078, "s2c_loss": "0.028", "loss": "0.0192", "s2c_nll_loss": "0.028", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "49880", "lr": "6.74733e-05", "gnorm": "1.217", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12720"} +2023-01-29 19:43:45 | INFO | train_inner | {"epoch": 24, "update": 23.083, "s2c_loss": "0.039", "loss": "0.02701", "s2c_nll_loss": "0.039", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "243.3", "ups": "3.8", "wpb": "64", "bsz": "64", "num_updates": "49890", "lr": "6.74066e-05", "gnorm": "1.254", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12722"} +2023-01-29 19:43:47 | INFO | train_inner | {"epoch": 24, "update": 23.087, "s2c_loss": "0.077", "loss": "0.05363", "s2c_nll_loss": "0.077", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "253.6", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "49900", "lr": "6.734e-05", "gnorm": "1.94", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12725"} +2023-01-29 19:43:50 | INFO | train_inner | {"epoch": 24, "update": 23.092, "s2c_loss": "0.029", "loss": "0.02042", "s2c_nll_loss": "0.029", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "251.8", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "49910", "lr": "6.72733e-05", "gnorm": "1.299", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12727"} +2023-01-29 19:43:52 | INFO | train_inner | {"epoch": 24, "update": 23.097, "s2c_loss": "0.03", "loss": "0.02109", "s2c_nll_loss": "0.03", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "49920", "lr": 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"s2c_loss": "0.018", "loss": "0.01273", "s2c_nll_loss": "0.018", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "243.4", "ups": "3.8", "wpb": "64", "bsz": "64", "num_updates": "49950", "lr": "6.70066e-05", "gnorm": "0.852", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12738"} +2023-01-29 19:44:02 | INFO | train_inner | {"epoch": 24, "update": 23.115, "s2c_loss": "0.045", "loss": "0.03094", "s2c_nll_loss": "0.045", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "49960", "lr": "6.694e-05", "gnorm": "1.294", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12740"} +2023-01-29 19:44:05 | INFO | train_inner | {"epoch": 24, "update": 23.12, "s2c_loss": "0.032", "loss": "0.02225", "s2c_nll_loss": "0.032", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "252.8", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "49970", "lr": "6.68733e-05", "gnorm": "1.51", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12743"} +2023-01-29 19:44:07 | INFO | train_inner | {"epoch": 24, "update": 23.124, "s2c_loss": "0.031", "loss": "0.02141", "s2c_nll_loss": "0.031", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "244", "ups": "3.81", "wpb": "64", "bsz": "64", "num_updates": "49980", "lr": "6.68067e-05", "gnorm": "1.333", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12745"} +2023-01-29 19:44:10 | INFO | train_inner | {"epoch": 24, "update": 23.129, "s2c_loss": "0.067", "loss": "0.04669", "s2c_nll_loss": "0.067", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "250.6", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "49990", "lr": "6.674e-05", "gnorm": "2.413", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12748"} +2023-01-29 19:44:13 | INFO | train_inner | {"epoch": 24, "update": 23.134, "s2c_loss": "0.067", "loss": "0.04637", "s2c_nll_loss": "0.067", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "256", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "50000", "lr": "6.66733e-05", "gnorm": "2.528", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "12750"} +2023-01-29 19:44:13 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 19:44:27 | INFO | valid | {"epoch": 24, "valid_s2c_loss": "0.488", "valid_loss": "0.33796", "valid_s2c_nll_loss": "0.488", "valid_s2c_accuracy": "91.439", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "29.2222", "valid_num_updates": "50000", "valid_best_s2c_accuracy": "91.525"} +2023-01-29 19:44:27 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 24 @ 50000 updates +2023-01-29 19:44:27 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_24_50000.pt +2023-01-29 19:44:31 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_24_50000.pt +2023-01-29 19:44:35 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_24_50000.pt (epoch 24 @ 50000 updates, score 91.439) (writing took 8.275092105846852 seconds) +2023-01-29 19:44:38 | INFO | train_inner | {"epoch": 24, "update": 23.138, "s2c_loss": "0.061", "loss": "0.0423", "s2c_nll_loss": "0.061", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "25.1", "ups": "0.39", "wpb": "64", "bsz": "64", "num_updates": "50010", "lr": "6.66067e-05", "gnorm": "2.5", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12776"} +2023-01-29 19:44:41 | INFO | train_inner | {"epoch": 24, "update": 23.143, "s2c_loss": "0.04", "loss": "0.02805", "s2c_nll_loss": "0.04", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "250.9", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "50020", "lr": "6.654e-05", "gnorm": "1.526", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12778"} +2023-01-29 19:44:43 | INFO | train_inner | {"epoch": 24, "update": 23.148, "s2c_loss": "0.064", "loss": "0.04422", "s2c_nll_loss": "0.064", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "252.7", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "50030", "lr": "6.64733e-05", "gnorm": "1.972", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12781"} +2023-01-29 19:44:46 | INFO | train_inner | {"epoch": 24, "update": 23.152, "s2c_loss": "0.071", "loss": "0.04923", "s2c_nll_loss": "0.071", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "249.5", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "50040", "lr": "6.64067e-05", "gnorm": "2.021", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "12784"} +2023-01-29 19:44:48 | INFO | train_inner | {"epoch": 24, "update": 23.157, "s2c_loss": "0.067", "loss": "0.04643", "s2c_nll_loss": "0.067", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "242.9", "ups": "3.8", "wpb": "64", "bsz": "64", "num_updates": "50050", "lr": "6.634e-05", "gnorm": "1.588", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "12786"} +2023-01-29 19:44:51 | INFO | train_inner | {"epoch": 24, "update": 23.161, "s2c_loss": "0.057", "loss": "0.03972", "s2c_nll_loss": "0.057", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "50060", "lr": "6.62734e-05", "gnorm": "1.881", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12789"} +2023-01-29 19:44:53 | INFO | train_inner | {"epoch": 24, "update": 23.166, "s2c_loss": "0.066", "loss": "0.04595", "s2c_nll_loss": "0.066", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "50070", "lr": "6.62067e-05", "gnorm": "1.996", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "12791"} +2023-01-29 19:44:56 | INFO | train_inner | {"epoch": 24, "update": 23.171, "s2c_loss": "0.034", "loss": "0.02352", "s2c_nll_loss": "0.034", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "50080", "lr": "6.614e-05", "gnorm": "1.386", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "12794"} +2023-01-29 19:44:59 | INFO | train_inner | {"epoch": 24, "update": 23.175, "s2c_loss": "0.099", "loss": "0.06833", "s2c_nll_loss": "0.099", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "238.6", "ups": "3.73", "wpb": "64", "bsz": "64", "num_updates": "50090", "lr": "6.60734e-05", "gnorm": "2.388", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12796"} +2023-01-29 19:45:01 | INFO | train_inner | {"epoch": 24, "update": 23.18, "s2c_loss": "0.066", "loss": "0.04541", "s2c_nll_loss": "0.066", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "240.2", "ups": "3.75", "wpb": "64", "bsz": "64", "num_updates": "50100", "lr": "6.60067e-05", "gnorm": "2.036", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "12799"} +2023-01-29 19:45:04 | INFO | train_inner | {"epoch": 24, "update": 23.185, "s2c_loss": "0.064", "loss": "0.04419", "s2c_nll_loss": "0.064", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "252.2", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "50110", "lr": "6.594e-05", "gnorm": "2.356", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12802"} +2023-01-29 19:45:06 | INFO | train_inner | {"epoch": 24, "update": 23.189, "s2c_loss": "0.062", "loss": "0.04265", "s2c_nll_loss": "0.062", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "249.1", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "50120", "lr": "6.58734e-05", "gnorm": "2.298", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12804"} +2023-01-29 19:45:09 | INFO | train_inner | {"epoch": 24, "update": 23.194, "s2c_loss": "0.051", "loss": "0.03533", "s2c_nll_loss": "0.051", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "245.2", "ups": "3.83", "wpb": "64", "bsz": "64", "num_updates": "50130", "lr": "6.58067e-05", "gnorm": "2.038", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "12807"} +2023-01-29 19:45:12 | INFO | train_inner | {"epoch": 24, "update": 23.198, "s2c_loss": "0.068", "loss": "0.04691", "s2c_nll_loss": "0.068", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "248.4", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "50140", "lr": "6.574e-05", "gnorm": "2.43", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12809"} +2023-01-29 19:45:14 | INFO | train_inner | {"epoch": 24, "update": 23.203, "s2c_loss": "0.045", "loss": "0.03101", "s2c_nll_loss": "0.045", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "248.8", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "50150", "lr": "6.56734e-05", "gnorm": "1.256", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "12812"} +2023-01-29 19:45:17 | INFO | train_inner | {"epoch": 24, "update": 23.208, "s2c_loss": "0.081", "loss": "0.05613", "s2c_nll_loss": "0.081", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "254.4", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "50160", "lr": "6.56067e-05", "gnorm": "2.67", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "12815"} +2023-01-29 19:45:18 | INFO | fairseq.trainer | NOTE: gradient overflow detected, ignoring gradient, setting loss scale to: 2048.0 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"gb_free": "7.2", "wall": "12828"} +2023-01-29 19:45:32 | INFO | train_inner | {"epoch": 24, "update": 23.236, "s2c_loss": "0.037", "loss": "0.02563", "s2c_nll_loss": "0.037", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "249", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "50220", "lr": "6.52067e-05", "gnorm": "1.301", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12830"} +2023-01-29 19:45:35 | INFO | train_inner | {"epoch": 24, "update": 23.241, "s2c_loss": "0.036", "loss": "0.02498", "s2c_nll_loss": "0.036", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "254.8", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "50230", "lr": "6.51401e-05", "gnorm": "1.803", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12833"} +2023-01-29 19:45:37 | INFO | train_inner | {"epoch": 24, "update": 23.245, "s2c_loss": "0.041", "loss": "0.02865", "s2c_nll_loss": "0.041", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "247.6", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "50240", "lr": "6.50734e-05", "gnorm": "1.903", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12835"} +2023-01-29 19:45:40 | INFO | train_inner | {"epoch": 24, "update": 23.25, "s2c_loss": "0.04", "loss": "0.02764", "s2c_nll_loss": "0.04", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "50250", "lr": "6.50067e-05", "gnorm": "1.651", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12838"} +2023-01-29 19:45:42 | INFO | train_inner | {"epoch": 24, "update": 23.254, "s2c_loss": "0.076", "loss": "0.05295", "s2c_nll_loss": "0.076", "s2c_accuracy": "98.438", "s2c_total": "64", "s2c_n_correct": "63", "wps": "247.7", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "50260", "lr": "6.49401e-05", "gnorm": "3.257", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12840"} +2023-01-29 19:45:45 | INFO | train_inner | {"epoch": 24, "update": 23.259, "s2c_loss": "0.045", "loss": "0.03117", "s2c_nll_loss": "0.045", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "50270", "lr": "6.48734e-05", "gnorm": "2.03", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12843"} +2023-01-29 19:45:48 | INFO | train_inner | {"epoch": 24, "update": 23.264, "s2c_loss": "0.09", "loss": "0.06263", "s2c_nll_loss": "0.09", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "50280", "lr": "6.48068e-05", "gnorm": "2.58", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12845"} +2023-01-29 19:45:50 | INFO | train_inner | {"epoch": 24, "update": 23.268, "s2c_loss": "0.047", "loss": "0.03286", 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"s2c_loss": "0.061", "loss": "0.04222", "s2c_nll_loss": "0.061", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "50340", "lr": "6.44068e-05", "gnorm": "1.583", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12861"} +2023-01-29 19:46:05 | INFO | train_inner | {"epoch": 24, "update": 23.296, "s2c_loss": "0.058", "loss": "0.03988", "s2c_nll_loss": "0.058", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "50350", "lr": "6.43401e-05", "gnorm": "1.66", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12863"} +2023-01-29 19:46:08 | INFO | train_inner | {"epoch": 24, "update": 23.301, "s2c_loss": "0.024", "loss": "0.0164", "s2c_nll_loss": "0.024", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "254.2", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "50360", "lr": "6.42735e-05", "gnorm": "0.868", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12866"} +2023-01-29 19:46:10 | INFO | train_inner | {"epoch": 24, "update": 23.305, "s2c_loss": "0.051", "loss": "0.03513", "s2c_nll_loss": "0.051", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "252.5", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "50370", "lr": "6.42068e-05", "gnorm": "2.03", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "12868"} +2023-01-29 19:46:13 | INFO | train_inner | {"epoch": 24, "update": 23.31, "s2c_loss": "0.027", "loss": "0.01867", "s2c_nll_loss": "0.027", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "50380", "lr": "6.41401e-05", "gnorm": "0.996", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12871"} +2023-01-29 19:46:15 | INFO | train_inner | {"epoch": 24, "update": 23.315, "s2c_loss": "0.051", "loss": "0.03529", "s2c_nll_loss": "0.051", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "248.6", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "50390", "lr": "6.40735e-05", "gnorm": "1.866", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12873"} +2023-01-29 19:46:18 | INFO | train_inner | {"epoch": 24, "update": 23.319, "s2c_loss": "0.078", "loss": "0.05423", "s2c_nll_loss": "0.078", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "247.3", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "50400", "lr": "6.40068e-05", "gnorm": "2.359", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "12876"} +2023-01-29 19:46:21 | INFO | train_inner | {"epoch": 24, "update": 23.324, "s2c_loss": "0.081", "loss": "0.0562", "s2c_nll_loss": "0.081", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "246.5", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "50410", "lr": "6.39401e-05", "gnorm": "2.459", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12879"} +2023-01-29 19:46:23 | INFO | train_inner | {"epoch": 24, "update": 23.328, "s2c_loss": "0.053", "loss": "0.03666", "s2c_nll_loss": "0.053", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "50420", "lr": "6.38735e-05", "gnorm": "1.902", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12881"} +2023-01-29 19:46:26 | INFO | train_inner | {"epoch": 24, "update": 23.333, "s2c_loss": "0.034", "loss": "0.02378", "s2c_nll_loss": "0.034", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "253.1", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "50430", "lr": "6.38068e-05", "gnorm": "1.31", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "12884"} +2023-01-29 19:46:28 | INFO | train_inner | {"epoch": 24, "update": 23.338, "s2c_loss": "0.083", "loss": "0.05742", "s2c_nll_loss": "0.083", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "257.9", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "50440", "lr": "6.37401e-05", "gnorm": "1.996", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12886"} +2023-01-29 19:46:31 | INFO | train_inner | {"epoch": 24, "update": 23.342, "s2c_loss": "0.073", "loss": "0.05054", "s2c_nll_loss": "0.073", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "255.8", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "50450", "lr": "6.36735e-05", "gnorm": "1.705", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12889"} +2023-01-29 19:46:33 | INFO | train_inner | {"epoch": 24, "update": 23.347, "s2c_loss": "0.085", "loss": "0.05903", "s2c_nll_loss": "0.085", "s2c_accuracy": "98.75", "s2c_total": "64", 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INFO | train_inner | {"epoch": 24, "update": 23.439, "s2c_loss": "0.032", "loss": "0.02233", "s2c_nll_loss": "0.032", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "252.6", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "50660", "lr": "6.22736e-05", "gnorm": "1.183", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "12942"} +2023-01-29 19:47:27 | INFO | train_inner | {"epoch": 24, "update": 23.444, "s2c_loss": "0.036", "loss": "0.02504", "s2c_nll_loss": "0.036", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "256.5", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "50670", "lr": "6.22069e-05", "gnorm": "1.345", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "12944"} +2023-01-29 19:47:29 | INFO | train_inner | {"epoch": 24, "update": 23.449, "s2c_loss": "0.028", "loss": "0.01922", "s2c_nll_loss": "0.028", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": 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+2023-01-29 19:51:58 | INFO | train_inner | {"epoch": 24, "update": 23.939, "s2c_loss": "0.038", "loss": "0.02608", "s2c_nll_loss": "0.038", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "255.6", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "51740", "lr": "5.50739e-05", "gnorm": "2.242", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13216"} +2023-01-29 19:52:00 | INFO | train_inner | {"epoch": 24, "update": 23.944, "s2c_loss": "0.038", "loss": "0.02647", "s2c_nll_loss": "0.038", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "255.9", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "51750", "lr": "5.50072e-05", "gnorm": "1.569", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13218"} +2023-01-29 19:52:03 | INFO | train_inner | {"epoch": 24, "update": 23.948, "s2c_loss": "0.034", "loss": "0.02388", "s2c_nll_loss": "0.034", "s2c_accuracy": "99.531", "s2c_total": "64", 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"gb_free": "7.2", "wall": "13226"} +2023-01-29 19:52:11 | INFO | train_inner | {"epoch": 24, "update": 23.962, "s2c_loss": "0.045", "loss": "0.03105", "s2c_nll_loss": "0.045", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "51790", "lr": "5.47406e-05", "gnorm": "1.184", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13229"} +2023-01-29 19:52:13 | INFO | train_inner | {"epoch": 24, "update": 23.967, "s2c_loss": "0.054", "loss": "0.03731", "s2c_nll_loss": "0.054", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "51800", "lr": "5.46739e-05", "gnorm": "1.676", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13231"} +2023-01-29 19:52:16 | INFO | train_inner | {"epoch": 24, "update": 23.971, "s2c_loss": "0.06", "loss": "0.04132", "s2c_nll_loss": "0.06", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "253.6", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "51810", "lr": "5.46073e-05", "gnorm": "1.848", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13234"} +2023-01-29 19:52:18 | INFO | train_inner | {"epoch": 24, "update": 23.976, "s2c_loss": "0.043", "loss": "0.02946", "s2c_nll_loss": "0.043", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "250.7", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "51820", "lr": "5.45406e-05", "gnorm": "1.602", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "13236"} +2023-01-29 19:52:21 | INFO | train_inner | {"epoch": 24, "update": 23.981, "s2c_loss": "0.034", "loss": "0.02386", "s2c_nll_loss": "0.034", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "254.7", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "51830", "lr": "5.44739e-05", "gnorm": "1.52", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13239"} +2023-01-29 19:52:23 | INFO | train_inner | {"epoch": 24, "update": 23.985, "s2c_loss": "0.198", "loss": "0.13758", "s2c_nll_loss": "0.198", "s2c_accuracy": "98.125", "s2c_total": "64", "s2c_n_correct": "62.8", "wps": "256.5", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "51840", "lr": "5.44073e-05", "gnorm": "1.673", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13241"} +2023-01-29 19:52:26 | INFO | train_inner | {"epoch": 24, "update": 23.99, "s2c_loss": "0.032", "loss": "0.02241", "s2c_nll_loss": "0.032", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "251", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "51850", "lr": "5.43406e-05", "gnorm": "1.651", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "13244"} +2023-01-29 19:52:28 | INFO | train_inner | {"epoch": 24, "update": 23.994, "s2c_loss": "0.036", "loss": "0.02462", "s2c_nll_loss": "0.036", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "254.2", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "51860", "lr": "5.4274e-05", "gnorm": "1.529", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13246"} +2023-01-29 19:52:31 | INFO | train_inner | {"epoch": 24, "update": 23.999, "s2c_loss": "0.064", "loss": "0.04456", "s2c_nll_loss": "0.064", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "258", "ups": "4.03", "wpb": "64", "bsz": "64", "num_updates": "51870", "lr": "5.42073e-05", "gnorm": "2.225", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13249"} +2023-01-29 19:52:31 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 19:52:46 | INFO | valid | {"epoch": 24, "valid_s2c_loss": "0.443", "valid_loss": "0.30684", "valid_s2c_nll_loss": "0.443", "valid_s2c_accuracy": "92.264", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "29.4861", "valid_num_updates": "51872", "valid_best_s2c_accuracy": "92.264"} +2023-01-29 19:52:46 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 24 @ 51872 updates +2023-01-29 19:52:46 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:52:53 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 19:52:57 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 24 @ 51872 updates, score 92.264) (writing took 11.512843424919993 seconds) +2023-01-29 19:52:57 | INFO | fairseq_cli.train | end of epoch 24 (average epoch stats below) +2023-01-29 19:52:57 | INFO | train | {"epoch": 24, "train_s2c_loss": "0.057", "train_loss": "0.03942", "train_s2c_nll_loss": "0.057", "train_s2c_accuracy": "99.192", 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"0.03825", "s2c_nll_loss": "0.055", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "247.9", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "51890", "lr": "5.4074e-05", "gnorm": "2.281", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13286"} +2023-01-29 19:53:11 | INFO | train_inner | {"epoch": 25, "update": 24.013, "s2c_loss": "0.029", "loss": "0.01978", "s2c_nll_loss": "0.029", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "249.9", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "51900", "lr": "5.40073e-05", "gnorm": "1.124", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "13289"} +2023-01-29 19:53:14 | INFO | train_inner | {"epoch": 25, "update": 24.018, "s2c_loss": "0.08", "loss": "0.05515", "s2c_nll_loss": "0.08", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "255", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "51910", "lr": 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"s2c_loss": "0.018", "loss": "0.01215", "s2c_nll_loss": "0.018", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "251.9", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "51940", "lr": "5.37406e-05", "gnorm": "1.111", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "13299"} +2023-01-29 19:53:24 | INFO | train_inner | {"epoch": 25, "update": 24.036, "s2c_loss": "0.041", "loss": "0.02828", "s2c_nll_loss": "0.041", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "252", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "51950", "lr": "5.3674e-05", "gnorm": "1.474", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13302"} +2023-01-29 19:53:26 | INFO | train_inner | {"epoch": 25, "update": 24.041, "s2c_loss": "0.029", "loss": "0.01994", "s2c_nll_loss": "0.029", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "250.6", "ups": "3.92", "wpb": "64", "bsz": 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{"epoch": 25, "update": 24.055, "s2c_loss": "0.019", "loss": "0.01344", "s2c_nll_loss": "0.019", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "253.7", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "51990", "lr": "5.34073e-05", "gnorm": "0.811", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13312"} +2023-01-29 19:53:36 | INFO | train_inner | {"epoch": 25, "update": 24.059, "s2c_loss": "0.201", "loss": "0.13938", "s2c_nll_loss": "0.201", "s2c_accuracy": "98.281", "s2c_total": "64", "s2c_n_correct": "62.9", "wps": "252.2", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "52000", "lr": "5.33407e-05", "gnorm": "1.735", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "13314"} +2023-01-29 19:53:39 | INFO | train_inner | {"epoch": 25, "update": 24.064, "s2c_loss": "0.204", "loss": "0.14114", "s2c_nll_loss": "0.204", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "250.4", "ups": 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19:53:47 | INFO | train_inner | {"epoch": 25, "update": 24.078, "s2c_loss": "0.035", "loss": "0.02454", "s2c_nll_loss": "0.035", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "256.7", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "52040", "lr": "5.3074e-05", "gnorm": "1.381", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13324"} +2023-01-29 19:53:49 | INFO | train_inner | {"epoch": 25, "update": 24.082, "s2c_loss": "0.038", "loss": "0.02652", "s2c_nll_loss": "0.038", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "251.9", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "52050", "lr": "5.30073e-05", "gnorm": "1.8", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "13327"} +2023-01-29 19:53:52 | INFO | train_inner | {"epoch": 25, "update": 24.087, "s2c_loss": "0.035", "loss": "0.0242", "s2c_nll_loss": "0.035", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": 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"wall": "13335"} +2023-01-29 19:53:59 | INFO | train_inner | {"epoch": 25, "update": 24.101, "s2c_loss": "0.031", "loss": "0.0212", "s2c_nll_loss": "0.031", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "52090", "lr": "5.27407e-05", "gnorm": "1.435", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13337"} +2023-01-29 19:54:02 | INFO | train_inner | {"epoch": 25, "update": 24.105, "s2c_loss": "0.019", "loss": "0.01291", "s2c_nll_loss": "0.019", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "250.6", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "52100", "lr": "5.2674e-05", "gnorm": "1.286", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "13340"} +2023-01-29 19:54:04 | INFO | train_inner | {"epoch": 25, "update": 24.11, "s2c_loss": "0.021", "loss": "0.01455", "s2c_nll_loss": "0.021", "s2c_accuracy": "99.844", 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24.304, "s2c_loss": "0.014", "loss": "0.00967", "s2c_nll_loss": "0.014", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "255.5", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "52530", "lr": "4.98075e-05", "gnorm": "0.563", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "13449"} +2023-01-29 19:55:53 | INFO | train_inner | {"epoch": 25, "update": 24.309, "s2c_loss": "0.024", "loss": "0.01662", "s2c_nll_loss": "0.024", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "255.5", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "52540", "lr": "4.97408e-05", "gnorm": "0.953", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "13451"} +2023-01-29 19:55:56 | INFO | train_inner | {"epoch": 25, "update": 24.314, "s2c_loss": "0.022", "loss": "0.01509", "s2c_nll_loss": "0.022", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "253.1", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "52550", "lr": "4.96742e-05", "gnorm": "0.894", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "13454"} +2023-01-29 19:55:58 | INFO | train_inner | {"epoch": 25, "update": 24.318, "s2c_loss": "0.044", "loss": "0.03055", "s2c_nll_loss": "0.044", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "252.1", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "52560", "lr": "4.96075e-05", "gnorm": "1.393", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "13456"} +2023-01-29 19:56:01 | INFO | train_inner | {"epoch": 25, "update": 24.323, "s2c_loss": "0.035", "loss": "0.02428", "s2c_nll_loss": "0.035", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "251.2", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "52570", "lr": "4.95409e-05", "gnorm": "1.606", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "13459"} +2023-01-29 19:56:03 | INFO | train_inner | {"epoch": 25, "update": 24.327, "s2c_loss": "0.069", "loss": "0.04802", "s2c_nll_loss": "0.069", "s2c_accuracy": "98.906", "s2c_total": "64", "s2c_n_correct": "63.3", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "52580", "lr": "4.94742e-05", "gnorm": "2.575", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "13461"} +2023-01-29 19:56:06 | INFO | train_inner | {"epoch": 25, "update": 24.332, "s2c_loss": "0.032", "loss": "0.02216", "s2c_nll_loss": "0.032", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "255.9", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "52590", "lr": "4.94075e-05", "gnorm": "1.198", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "13464"} +2023-01-29 19:56:08 | INFO | train_inner | {"epoch": 25, "update": 24.337, "s2c_loss": "0.04", "loss": "0.02783", "s2c_nll_loss": "0.04", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": 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+2023-01-29 19:56:14 | INFO | fairseq.trainer | NOTE: gradient overflow detected, ignoring gradient, setting loss scale to: 2048.0 +2023-01-29 19:56:16 | INFO | train_inner | {"epoch": 25, "update": 24.351, "s2c_loss": "0.05", "loss": "0.03498", "s2c_nll_loss": "0.05", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "230.2", "ups": "3.6", "wpb": "64", "bsz": "64", "num_updates": "52630", "lr": "4.91409e-05", "gnorm": "1.49", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "13474"} +2023-01-29 19:56:19 | INFO | train_inner | {"epoch": 25, "update": 24.356, "s2c_loss": "0.044", "loss": "0.03048", "s2c_nll_loss": "0.044", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "52640", "lr": "4.90742e-05", "gnorm": "1.687", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13477"} +2023-01-29 19:56:21 | INFO | train_inner | {"epoch": 25, "update": 24.36, "s2c_loss": "0.041", "loss": "0.02824", "s2c_nll_loss": "0.041", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "250", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "52650", "lr": "4.90076e-05", "gnorm": "1.427", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.4", "wall": "13479"} +2023-01-29 19:56:24 | INFO | train_inner | {"epoch": 25, "update": 24.365, "s2c_loss": "0.028", "loss": "0.01918", "s2c_nll_loss": "0.028", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "52660", "lr": "4.89409e-05", "gnorm": "1.205", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13482"} +2023-01-29 19:56:27 | INFO | train_inner | {"epoch": 25, "update": 24.37, "s2c_loss": "0.049", "loss": "0.03363", "s2c_nll_loss": "0.049", "s2c_accuracy": "99.219", "s2c_total": "64", "s2c_n_correct": "63.5", "wps": "250.9", "ups": "3.92", "wpb": 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train_inner | {"epoch": 25, "update": 24.383, "s2c_loss": "0.052", "loss": "0.03593", "s2c_nll_loss": "0.052", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "252.9", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "52700", "lr": "4.86742e-05", "gnorm": "1.386", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13492"} +2023-01-29 19:56:37 | INFO | train_inner | {"epoch": 25, "update": 24.388, "s2c_loss": "0.079", "loss": "0.05508", "s2c_nll_loss": "0.079", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "52710", "lr": "4.86076e-05", "gnorm": "2.568", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13494"} +2023-01-29 19:56:39 | INFO | train_inner | {"epoch": 25, "update": 24.393, "s2c_loss": "0.056", "loss": "0.03852", "s2c_nll_loss": "0.056", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "251.1", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "52720", "lr": "4.85409e-05", "gnorm": "1.891", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13497"} +2023-01-29 19:56:42 | INFO | train_inner | {"epoch": 25, "update": 24.397, "s2c_loss": "0.055", "loss": "0.03846", "s2c_nll_loss": "0.055", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "255", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "52730", "lr": "4.84742e-05", "gnorm": "1.984", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13500"} +2023-01-29 19:56:44 | INFO | train_inner | {"epoch": 25, "update": 24.402, "s2c_loss": "0.177", "loss": "0.12275", "s2c_nll_loss": "0.177", "s2c_accuracy": "98.75", "s2c_total": "64", "s2c_n_correct": "63.2", "wps": "255.3", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "52740", "lr": "4.84076e-05", "gnorm": "1.359", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13502"} +2023-01-29 19:56:47 | INFO | train_inner | {"epoch": 25, "update": 24.407, "s2c_loss": "0.032", "loss": "0.02251", "s2c_nll_loss": "0.032", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "52750", "lr": "4.83409e-05", "gnorm": "1.216", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13505"} +2023-01-29 19:56:49 | INFO | train_inner | {"epoch": 25, "update": 24.411, "s2c_loss": "0.028", "loss": "0.01942", "s2c_nll_loss": "0.028", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "254.7", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "52760", "lr": "4.82743e-05", "gnorm": "1.309", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13507"} +2023-01-29 19:56:52 | INFO | train_inner | {"epoch": 25, "update": 24.416, "s2c_loss": "0.031", "loss": "0.02175", "s2c_nll_loss": "0.031", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "251.4", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "52770", "lr": "4.82076e-05", "gnorm": "1.405", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13510"} +2023-01-29 19:56:54 | INFO | train_inner | {"epoch": 25, "update": 24.42, "s2c_loss": "0.041", "loss": "0.0282", "s2c_nll_loss": "0.041", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "257.3", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "52780", "lr": "4.81409e-05", "gnorm": "1.586", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13512"} +2023-01-29 19:56:57 | INFO | train_inner | {"epoch": 25, "update": 24.425, "s2c_loss": "0.033", "loss": "0.02322", "s2c_nll_loss": "0.033", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "250.4", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "52790", "lr": "4.80743e-05", "gnorm": "1.343", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13515"} +2023-01-29 19:56:59 | INFO | train_inner | {"epoch": 25, "update": 24.43, "s2c_loss": "0.018", "loss": "0.01271", "s2c_nll_loss": "0.018", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "252.4", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "52800", "lr": "4.80076e-05", "gnorm": "0.839", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13517"} +2023-01-29 19:57:02 | INFO | train_inner | {"epoch": 25, "update": 24.434, "s2c_loss": "0.025", "loss": "0.01752", "s2c_nll_loss": "0.025", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "248.7", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "52810", "lr": "4.79409e-05", "gnorm": "1.223", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13520"} +2023-01-29 19:57:04 | INFO | train_inner | {"epoch": 25, "update": 24.439, "s2c_loss": "0.059", "loss": "0.04068", "s2c_nll_loss": 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{"epoch": 25, "update": 24.985, "s2c_loss": "0.029", "loss": "0.0202", "s2c_nll_loss": "0.029", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "250.4", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "54000", "lr": "4.0008e-05", "gnorm": "1.147", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13821"} +2023-01-29 20:02:05 | INFO | train_inner | {"epoch": 25, "update": 24.989, "s2c_loss": "0.063", "loss": "0.04358", "s2c_nll_loss": "0.063", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "253.4", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "54010", "lr": "3.99413e-05", "gnorm": "1.428", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13823"} +2023-01-29 20:02:08 | INFO | train_inner | {"epoch": 25, "update": 24.994, "s2c_loss": "0.021", "loss": "0.01421", "s2c_nll_loss": "0.021", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "260.1", "ups": "4.06", "wpb": "64", "bsz": "64", "num_updates": "54020", "lr": "3.98747e-05", "gnorm": "1.085", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.4", "wall": "13826"} +2023-01-29 20:02:10 | INFO | train_inner | {"epoch": 25, "update": 24.999, "s2c_loss": "0.02", "loss": "0.01369", "s2c_nll_loss": "0.02", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "255.9", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "54030", "lr": "3.9808e-05", "gnorm": "0.9", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.3", "wall": "13828"} +2023-01-29 20:02:11 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 20:02:26 | INFO | valid | {"epoch": 25, "valid_s2c_loss": "0.377", "valid_loss": "0.26168", "valid_s2c_nll_loss": "0.377", "valid_s2c_accuracy": "93.047", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "29.7361", "valid_num_updates": "54033", "valid_best_s2c_accuracy": "93.047"} +2023-01-29 20:02:26 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 25 @ 54033 updates +2023-01-29 20:02:26 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 20:02:33 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 20:02:38 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 25 @ 54033 updates, score 93.047) (writing took 12.001213863957673 seconds) +2023-01-29 20:02:38 | INFO | fairseq_cli.train | end of epoch 25 (average epoch stats below) +2023-01-29 20:02:38 | INFO | train | {"epoch": 25, "train_s2c_loss": "0.049", "train_loss": "0.03366", "train_s2c_nll_loss": "0.049", "train_s2c_accuracy": "99.362", "train_s2c_total": "63.9838", "train_s2c_n_correct": "63.5757", "train_wps": "238.2", "train_ups": "3.72", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "54033", "train_lr": "3.9788e-05", "train_gnorm": "1.452", "train_loss_scale": "2048", "train_train_wall": "539", "train_gb_free": "7.4", "train_wall": "13856"} +2023-01-29 20:02:44 | INFO | fairseq.trainer | begin training epoch 26 +2023-01-29 20:02:44 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 20:02:46 | INFO | train_inner | {"epoch": 26, "update": 25.003, "s2c_loss": "0.031", "loss": "0.02121", "s2c_nll_loss": "0.031", "s2c_accuracy": "99.671", "s2c_total": "60.8", "s2c_n_correct": "60.6", "wps": "16.9", "ups": "0.28", "wpb": "60.8", "bsz": "60.8", "num_updates": "54040", "lr": "3.97413e-05", "gnorm": "1.176", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13864"} +2023-01-29 20:02:49 | INFO | train_inner | {"epoch": 26, "update": 25.008, "s2c_loss": "0.03", "loss": "0.02092", "s2c_nll_loss": "0.03", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "249.9", "ups": "3.9", "wpb": "64", "bsz": 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| {"epoch": 26, "update": 25.022, "s2c_loss": "0.011", "loss": "0.00769", "s2c_nll_loss": "0.011", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "243.3", "ups": "3.8", "wpb": "64", "bsz": "64", "num_updates": "54080", "lr": "3.94747e-05", "gnorm": "0.656", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.2", "wall": "13874"} +2023-01-29 20:02:59 | INFO | train_inner | {"epoch": 26, "update": 25.026, "s2c_loss": "0.026", "loss": "0.01809", "s2c_nll_loss": "0.026", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "247.7", "ups": "3.87", "wpb": "64", "bsz": "64", "num_updates": "54090", "lr": "3.9408e-05", "gnorm": "1.094", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "13877"} +2023-01-29 20:03:02 | INFO | train_inner | {"epoch": 26, "update": 25.031, "s2c_loss": "0.021", "loss": "0.0147", "s2c_nll_loss": "0.021", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "246.7", "ups": 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| INFO | train_inner | {"epoch": 26, "update": 25.045, "s2c_loss": "0.031", "loss": "0.02118", "s2c_nll_loss": "0.031", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "245.5", "ups": "3.84", "wpb": "64", "bsz": "64", "num_updates": "54130", "lr": "3.91414e-05", "gnorm": "1.634", "loss_scale": "2048", "train_wall": "3", "gb_free": "7.3", "wall": "13887"} +2023-01-29 20:03:12 | INFO | train_inner | {"epoch": 26, "update": 25.049, "s2c_loss": "0.041", "loss": "0.02822", "s2c_nll_loss": "0.041", "s2c_accuracy": "99.375", "s2c_total": "64", "s2c_n_correct": "63.6", "wps": "254.5", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "54140", "lr": "3.90747e-05", "gnorm": "1.343", "loss_scale": "2048", "train_wall": "2", "gb_free": "7.2", "wall": "13890"} +2023-01-29 20:03:14 | INFO | train_inner | {"epoch": 26, "update": 25.054, "s2c_loss": "0.016", "loss": "0.01124", "s2c_nll_loss": "0.016", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": 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"gb_free": "7.2", "wall": "14358"} +2023-01-29 20:11:03 | INFO | train_inner | {"epoch": 26, "update": 25.91, "s2c_loss": "0.008", "loss": "0.00576", "s2c_nll_loss": "0.008", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "56000", "lr": "2.66753e-05", "gnorm": "0.472", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "14361"} +2023-01-29 20:11:05 | INFO | train_inner | {"epoch": 26, "update": 25.914, "s2c_loss": "0.016", "loss": "0.01129", "s2c_nll_loss": "0.016", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "249.8", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "56010", "lr": "2.66087e-05", "gnorm": "0.757", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "14363"} +2023-01-29 20:11:08 | INFO | train_inner | {"epoch": 26, "update": 25.919, "s2c_loss": "0.016", "loss": "0.01128", "s2c_nll_loss": "0.016", "s2c_accuracy": "100", 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"loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "14383"} +2023-01-29 20:11:28 | INFO | train_inner | {"epoch": 26, "update": 25.956, "s2c_loss": "0.012", "loss": "0.00843", "s2c_nll_loss": "0.012", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "255", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "56100", "lr": "2.60087e-05", "gnorm": "1.041", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.4", "wall": "14386"} +2023-01-29 20:11:30 | INFO | train_inner | {"epoch": 26, "update": 25.961, "s2c_loss": "0.012", "loss": "0.00865", "s2c_nll_loss": "0.012", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "255.5", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "56110", "lr": "2.5942e-05", "gnorm": "0.723", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "14388"} +2023-01-29 20:11:33 | INFO | train_inner | {"epoch": 26, "update": 25.965, "s2c_loss": "0.031", "loss": "0.02117", 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"s2c_loss": "0.03", "loss": "0.02049", "s2c_nll_loss": "0.03", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "253.8", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "56170", "lr": "2.55421e-05", "gnorm": "0.643", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "14404"} +2023-01-29 20:11:48 | INFO | train_inner | {"epoch": 26, "update": 25.993, "s2c_loss": "0.013", "loss": "0.00871", "s2c_nll_loss": "0.013", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "251", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "56180", "lr": "2.54754e-05", "gnorm": "0.713", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "14406"} +2023-01-29 20:11:51 | INFO | train_inner | {"epoch": 26, "update": 25.998, "s2c_loss": "0.023", "loss": "0.01602", "s2c_nll_loss": "0.023", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "256.9", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "56190", "lr": "2.54087e-05", "gnorm": "1.005", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "14409"} +2023-01-29 20:11:52 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 20:12:06 | INFO | valid | {"epoch": 26, "valid_s2c_loss": "0.34", "valid_loss": "0.23561", "valid_s2c_nll_loss": "0.34", "valid_s2c_accuracy": "94.147", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "30.088", "valid_num_updates": "56195", "valid_best_s2c_accuracy": "94.147"} +2023-01-29 20:12:06 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 26 @ 56195 updates +2023-01-29 20:12:06 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 20:12:13 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 20:12:18 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 26 @ 56195 updates, score 94.147) (writing took 11.605315372813493 seconds) +2023-01-29 20:12:18 | INFO | fairseq_cli.train | end of epoch 26 (average epoch stats below) +2023-01-29 20:12:18 | INFO | train | {"epoch": 26, "train_s2c_loss": "0.029", "train_loss": "0.01977", "train_s2c_nll_loss": "0.029", "train_s2c_accuracy": "99.665", "train_s2c_total": "63.9838", "train_s2c_n_correct": "63.7697", "train_wps": "238.4", "train_ups": "3.73", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "56195", "train_lr": "2.53754e-05", "train_gnorm": "1.036", "train_loss_scale": "4096", "train_train_wall": "540", "train_gb_free": "7.6", "train_wall": "14436"} +2023-01-29 20:12:24 | INFO | fairseq.trainer | begin training epoch 27 +2023-01-29 20:12:24 | INFO | fairseq_cli.train | Start iterating over samples +2023-01-29 20:12:26 | INFO | train_inner | {"epoch": 27, "update": 26.002, "s2c_loss": "0.033", "loss": 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train_inner | {"epoch": 27, "update": 26.243, "s2c_loss": "0.009", "loss": "0.00603", "s2c_nll_loss": "0.009", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "248.9", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "56720", "lr": "2.18756e-05", "gnorm": "0.596", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.3", "wall": "14576"} +2023-01-29 20:14:40 | INFO | train_inner | {"epoch": 27, "update": 26.247, "s2c_loss": "0.027", "loss": "0.01845", "s2c_nll_loss": "0.027", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "251.8", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "56730", "lr": "2.18089e-05", "gnorm": "0.659", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.2", "wall": "14578"} +2023-01-29 20:14:43 | INFO | train_inner | {"epoch": 27, "update": 26.252, "s2c_loss": "0.021", "loss": "0.01465", "s2c_nll_loss": "0.021", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": 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+2023-01-29 20:14:50 | INFO | train_inner | {"epoch": 27, "update": 26.266, "s2c_loss": "0.019", "loss": "0.01302", "s2c_nll_loss": "0.019", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "56770", "lr": "2.15423e-05", "gnorm": "0.484", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.2", "wall": "14588"} +2023-01-29 20:14:53 | INFO | train_inner | {"epoch": 27, "update": 26.271, "s2c_loss": "0.006", "loss": "0.00446", "s2c_nll_loss": "0.006", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "253.1", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "56780", "lr": "2.14756e-05", "gnorm": "0.251", "loss_scale": "8192", "train_wall": "2", "gb_free": "7.2", "wall": "14591"} +2023-01-29 20:14:55 | INFO | train_inner | {"epoch": 27, "update": 26.275, "s2c_loss": "0.01", "loss": "0.00698", "s2c_nll_loss": "0.01", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "250.2", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "56790", "lr": "2.14089e-05", "gnorm": "0.551", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.2", "wall": "14593"} +2023-01-29 20:14:58 | INFO | train_inner | {"epoch": 27, "update": 26.28, "s2c_loss": "0.012", "loss": "0.00812", "s2c_nll_loss": "0.012", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "241.7", "ups": "3.78", "wpb": "64", "bsz": "64", "num_updates": "56800", "lr": "2.13423e-05", "gnorm": "0.642", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.3", "wall": "14596"} +2023-01-29 20:15:01 | INFO | train_inner | {"epoch": 27, "update": 26.284, "s2c_loss": "0.023", "loss": "0.01565", "s2c_nll_loss": "0.023", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "247.1", "ups": "3.86", "wpb": "64", "bsz": "64", "num_updates": "56810", "lr": "2.12756e-05", "gnorm": "0.753", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.3", "wall": "14599"} +2023-01-29 20:15:03 | INFO | train_inner | {"epoch": 27, "update": 26.289, "s2c_loss": "0.01", "loss": "0.00684", "s2c_nll_loss": "0.01", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "245.2", "ups": "3.83", "wpb": "64", "bsz": "64", "num_updates": "56820", "lr": "2.12089e-05", "gnorm": "0.485", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.4", "wall": "14601"} +2023-01-29 20:15:06 | INFO | train_inner | {"epoch": 27, "update": 26.294, "s2c_loss": "0.008", "loss": "0.00535", "s2c_nll_loss": "0.008", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "251.5", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "56830", "lr": "2.11423e-05", "gnorm": "0.354", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.4", "wall": "14604"} +2023-01-29 20:15:08 | INFO | train_inner | {"epoch": 27, "update": 26.298, "s2c_loss": "0.015", "loss": "0.01033", "s2c_nll_loss": "0.015", "s2c_accuracy": 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"train_wall": "2", "gb_free": "7.2", "wall": "14642"} +2023-01-29 20:15:47 | INFO | train_inner | {"epoch": 27, "update": 26.368, "s2c_loss": "0.008", "loss": "0.00537", "s2c_nll_loss": "0.008", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "56990", "lr": "2.00757e-05", "gnorm": "0.392", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "14644"} +2023-01-29 20:15:49 | INFO | train_inner | {"epoch": 27, "update": 26.373, "s2c_loss": "0.029", "loss": "0.0202", "s2c_nll_loss": "0.029", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "257.5", "ups": "4.02", "wpb": "64", "bsz": "64", "num_updates": "57000", "lr": "2.0009e-05", "gnorm": "0.825", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "14647"} +2023-01-29 20:15:52 | INFO | train_inner | {"epoch": 27, "update": 26.377, "s2c_loss": "0.026", "loss": "0.01776", "s2c_nll_loss": 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"num_updates": "57130", "lr": "1.91424e-05", "gnorm": "0.647", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "14680"} +2023-01-29 20:16:24 | INFO | train_inner | {"epoch": 27, "update": 26.438, "s2c_loss": "0.026", "loss": "0.01768", "s2c_nll_loss": "0.026", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "248.2", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "57140", "lr": "1.90757e-05", "gnorm": "0.567", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "14682"} +2023-01-29 20:16:27 | INFO | train_inner | {"epoch": 27, "update": 26.442, "s2c_loss": "0.007", "loss": "0.00513", "s2c_nll_loss": "0.007", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "246.6", "ups": "3.85", "wpb": "64", "bsz": "64", "num_updates": "57150", "lr": "1.9009e-05", "gnorm": "0.508", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "14685"} +2023-01-29 20:16:30 | INFO | train_inner | {"epoch": 27, "update": 26.447, "s2c_loss": "0.008", "loss": "0.00544", "s2c_nll_loss": "0.008", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "253.2", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "57160", "lr": "1.89424e-05", "gnorm": "0.559", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "14688"} +2023-01-29 20:16:32 | INFO | train_inner | {"epoch": 27, "update": 26.451, "s2c_loss": "0.029", "loss": "0.02006", "s2c_nll_loss": "0.029", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "251.7", "ups": "3.93", "wpb": "64", "bsz": "64", "num_updates": "57170", "lr": "1.88757e-05", "gnorm": "0.705", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "14690"} +2023-01-29 20:16:35 | INFO | train_inner | {"epoch": 27, "update": 26.456, "s2c_loss": "0.012", "loss": "0.00847", "s2c_nll_loss": "0.012", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "250", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "57180", "lr": "1.88091e-05", "gnorm": "0.702", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "14693"} +2023-01-29 20:16:37 | INFO | train_inner | {"epoch": 27, "update": 26.461, "s2c_loss": "0.013", "loss": "0.00885", "s2c_nll_loss": "0.013", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "57190", "lr": "1.87424e-05", "gnorm": "0.621", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "14695"} +2023-01-29 20:16:40 | INFO | train_inner | {"epoch": 27, "update": 26.465, "s2c_loss": "0.016", "loss": "0.01117", "s2c_nll_loss": "0.016", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "254", "ups": "3.97", "wpb": "64", "bsz": "64", "num_updates": "57200", "lr": "1.86757e-05", "gnorm": "0.675", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "14698"} +2023-01-29 20:16:42 | INFO | train_inner | {"epoch": 27, "update": 26.47, "s2c_loss": "0.025", "loss": "0.01764", "s2c_nll_loss": "0.025", "s2c_accuracy": "99.531", "s2c_total": "64", "s2c_n_correct": "63.7", "wps": "255.8", "ups": "4", "wpb": "64", "bsz": "64", "num_updates": "57210", "lr": "1.86091e-05", "gnorm": "1.178", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "14700"} +2023-01-29 20:16:45 | INFO | train_inner | {"epoch": 27, "update": 26.475, "s2c_loss": "0.007", "loss": "0.00487", "s2c_nll_loss": "0.007", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "254.9", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "57220", "lr": "1.85424e-05", "gnorm": "0.368", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "14703"} +2023-01-29 20:16:47 | INFO | train_inner | {"epoch": 27, "update": 26.479, "s2c_loss": "0.035", "loss": "0.0242", "s2c_nll_loss": "0.035", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", 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train_inner | {"epoch": 27, "update": 26.983, "s2c_loss": "0.009", "loss": "0.00614", "s2c_nll_loss": "0.009", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "253", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "58320", "lr": "1.12094e-05", "gnorm": "0.398", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "14982"} +2023-01-29 20:21:27 | INFO | train_inner | {"epoch": 27, "update": 26.988, "s2c_loss": "0.008", "loss": "0.00582", "s2c_nll_loss": "0.008", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "250.9", "ups": "3.92", "wpb": "64", "bsz": "64", "num_updates": "58330", "lr": "1.11428e-05", "gnorm": "0.617", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "14985"} +2023-01-29 20:21:29 | INFO | train_inner | {"epoch": 27, "update": 26.993, "s2c_loss": "0.011", "loss": "0.00767", "s2c_nll_loss": "0.011", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": 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INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 27 @ 58356 updates +2023-01-29 20:21:48 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 20:21:55 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt +2023-01-29 20:22:00 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_best.pt (epoch 27 @ 58356 updates, score 94.727) (writing took 11.766202256083488 seconds) +2023-01-29 20:22:00 | INFO | fairseq_cli.train | end of epoch 27 (average epoch stats below) +2023-01-29 20:22:00 | INFO | train | {"epoch": 27, "train_s2c_loss": "0.019", "train_loss": "0.01339", "train_s2c_nll_loss": "0.019", "train_s2c_accuracy": "99.826", "train_s2c_total": "63.9838", "train_s2c_n_correct": "63.8723", "train_wps": "237.8", "train_ups": "3.72", "train_wpb": "64", "train_bsz": 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| {"epoch": 28, "update": 27.02, "s2c_loss": "0.127", "loss": "0.08813", "s2c_nll_loss": "0.127", "s2c_accuracy": "99.062", "s2c_total": "64", "s2c_n_correct": "63.4", "wps": "248.4", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "58400", "lr": "1.06761e-05", "gnorm": "1.037", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "15035"} +2023-01-29 20:22:20 | INFO | train_inner | {"epoch": 28, "update": 27.025, "s2c_loss": "0.078", "loss": "0.05387", "s2c_nll_loss": "0.078", "s2c_accuracy": "98.594", "s2c_total": "64", "s2c_n_correct": "63.1", "wps": "249.8", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "58410", "lr": "1.06095e-05", "gnorm": "1.106", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "15038"} +2023-01-29 20:22:23 | INFO | train_inner | {"epoch": 28, "update": 27.03, "s2c_loss": "0.004", "loss": "0.00266", "s2c_nll_loss": "0.004", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "252.2", "ups": 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| INFO | train_inner | {"epoch": 28, "update": 27.043, "s2c_loss": "0.006", "loss": "0.00428", "s2c_nll_loss": "0.006", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "256.7", "ups": "4.01", "wpb": "64", "bsz": "64", "num_updates": "58450", "lr": "1.03428e-05", "gnorm": "0.33", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "15048"} +2023-01-29 20:22:33 | INFO | train_inner | {"epoch": 28, "update": 27.048, "s2c_loss": "0.016", "loss": "0.01095", "s2c_nll_loss": "0.016", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "248.6", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "58460", "lr": "1.02762e-05", "gnorm": "0.787", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.4", "wall": "15051"} +2023-01-29 20:22:35 | INFO | train_inner | {"epoch": 28, "update": 27.053, "s2c_loss": "0.013", "loss": "0.00896", "s2c_nll_loss": "0.013", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": 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20:22:43 | INFO | train_inner | {"epoch": 28, "update": 27.067, "s2c_loss": "0.03", "loss": "0.02064", "s2c_nll_loss": "0.03", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "252.9", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "58500", "lr": "1.00095e-05", "gnorm": "0.68", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "15061"} +2023-01-29 20:22:45 | INFO | train_inner | {"epoch": 28, "update": 27.071, "s2c_loss": "0.028", "loss": "0.01957", "s2c_nll_loss": "0.028", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "58510", "lr": "9.94284e-06", "gnorm": "0.566", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.4", "wall": "15063"} +2023-01-29 20:22:48 | INFO | train_inner | {"epoch": 28, "update": 27.076, "s2c_loss": "0.004", "loss": "0.00249", "s2c_nll_loss": "0.004", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", 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"update": 27.455, "s2c_loss": "0.004", "loss": "0.00305", "s2c_nll_loss": "0.004", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "253.1", "ups": "3.95", "wpb": "64", "bsz": "64", "num_updates": "59340", "lr": "4.40978e-06", "gnorm": "0.241", "loss_scale": "8192", "train_wall": "2", "gb_free": "7.2", "wall": "15274"} +2023-01-29 20:26:18 | INFO | train_inner | {"epoch": 28, "update": 27.46, "s2c_loss": "0.011", "loss": "0.00783", "s2c_nll_loss": "0.011", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "254.6", "ups": "3.98", "wpb": "64", "bsz": "64", "num_updates": "59350", "lr": "4.34312e-06", "gnorm": "0.547", "loss_scale": "8192", "train_wall": "2", "gb_free": "7.2", "wall": "15276"} +2023-01-29 20:26:21 | INFO | train_inner | {"epoch": 28, "update": 27.464, "s2c_loss": "0.003", "loss": "0.00213", "s2c_nll_loss": "0.003", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "251", "ups": "3.92", "wpb": "64", 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train_inner | {"epoch": 28, "update": 27.478, "s2c_loss": "0.005", "loss": "0.00328", "s2c_nll_loss": "0.005", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "248.8", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "59390", "lr": "4.07646e-06", "gnorm": "0.183", "loss_scale": "8192", "train_wall": "3", "gb_free": "7.2", "wall": "15286"} +2023-01-29 20:26:31 | INFO | train_inner | {"epoch": 28, "update": 27.483, "s2c_loss": "0.012", "loss": "0.00824", "s2c_nll_loss": "0.012", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "255.4", "ups": "3.99", "wpb": "64", "bsz": "64", "num_updates": "59400", "lr": "4.0098e-06", "gnorm": "0.542", "loss_scale": "8192", "train_wall": "2", "gb_free": "7.3", "wall": "15289"} +2023-01-29 20:26:34 | INFO | train_inner | {"epoch": 28, "update": 27.488, "s2c_loss": "0.004", "loss": "0.00251", "s2c_nll_loss": "0.004", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "252", 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27.511, "s2c_loss": "0.009", "loss": "0.00644", "s2c_nll_loss": "0.009", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "253.3", "ups": "3.96", "wpb": "64", "bsz": "64", "num_updates": "59460", "lr": "3.60982e-06", "gnorm": "0.454", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "15304"} +2023-01-29 20:26:49 | INFO | train_inner | {"epoch": 28, "update": 27.516, "s2c_loss": "0.016", "loss": "0.01113", "s2c_nll_loss": "0.016", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "248.5", "ups": "3.88", "wpb": "64", "bsz": "64", "num_updates": "59470", "lr": "3.54316e-06", "gnorm": "0.707", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "15307"} +2023-01-29 20:26:52 | INFO | train_inner | {"epoch": 28, "update": 27.52, "s2c_loss": "0.02", "loss": "0.01371", "s2c_nll_loss": "0.02", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "256", "ups": "4", "wpb": "64", "bsz": 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{"epoch": 28, "update": 27.534, "s2c_loss": "0.007", "loss": "0.00507", "s2c_nll_loss": "0.007", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "249.2", "ups": "3.89", "wpb": "64", "bsz": "64", "num_updates": "59510", "lr": "3.2765e-06", "gnorm": "0.386", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "15317"} +2023-01-29 20:27:02 | INFO | train_inner | {"epoch": 28, "update": 27.539, "s2c_loss": "0.015", "loss": "0.01052", "s2c_nll_loss": "0.015", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "252.4", "ups": "3.94", "wpb": "64", "bsz": "64", "num_updates": "59520", "lr": "3.20984e-06", "gnorm": "0.472", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.2", "wall": "15320"} +2023-01-29 20:27:04 | INFO | train_inner | {"epoch": 28, "update": 27.543, "s2c_loss": "0.005", "loss": "0.00344", "s2c_nll_loss": "0.005", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "255.5", "ups": 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20:27:12 | INFO | train_inner | {"epoch": 28, "update": 27.557, "s2c_loss": "0.006", "loss": "0.00406", "s2c_nll_loss": "0.006", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": "64", "wps": "258.3", "ups": "4.04", "wpb": "64", "bsz": "64", "num_updates": "59560", "lr": "2.94319e-06", "gnorm": "0.376", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.3", "wall": "15330"} +2023-01-29 20:27:14 | INFO | train_inner | {"epoch": 28, "update": 27.562, "s2c_loss": "0.012", "loss": "0.00855", "s2c_nll_loss": "0.012", "s2c_accuracy": "99.688", "s2c_total": "64", "s2c_n_correct": "63.8", "wps": "259.1", "ups": "4.05", "wpb": "64", "bsz": "64", "num_updates": "59570", "lr": "2.87652e-06", "gnorm": "0.701", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.4", "wall": "15332"} +2023-01-29 20:27:17 | INFO | train_inner | {"epoch": 28, "update": 27.567, "s2c_loss": "0.006", "loss": "0.00404", "s2c_nll_loss": "0.006", "s2c_accuracy": "100", "s2c_total": "64", "s2c_n_correct": 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INFO | train_inner | {"epoch": 28, "update": 27.752, "s2c_loss": "0.009", "loss": "0.00597", "s2c_nll_loss": "0.009", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "259", "ups": "4.05", "wpb": "64", "bsz": "64", "num_updates": "59980", "lr": "1.43327e-07", "gnorm": "0.406", "loss_scale": "4096", "train_wall": "2", "gb_free": "7.2", "wall": "15436"} +2023-01-29 20:29:00 | INFO | train_inner | {"epoch": 28, "update": 27.756, "s2c_loss": "0.008", "loss": "0.00585", "s2c_nll_loss": "0.008", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "250.3", "ups": "3.91", "wpb": "64", "bsz": "64", "num_updates": "59990", "lr": "7.66633e-08", "gnorm": "0.574", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "15438"} +2023-01-29 20:29:03 | INFO | train_inner | {"epoch": 28, "update": 27.761, "s2c_loss": "0.013", "loss": "0.00896", "s2c_nll_loss": "0.013", "s2c_accuracy": "99.844", "s2c_total": "64", "s2c_n_correct": "63.9", "wps": "249.7", "ups": "3.9", "wpb": "64", "bsz": "64", "num_updates": "60000", "lr": "1e-08", "gnorm": "0.53", "loss_scale": "4096", "train_wall": "3", "gb_free": "7.3", "wall": "15441"} +2023-01-29 20:29:03 | INFO | fairseq_cli.train | Stopping training due to num_updates: 60000 >= max_update: 60000 +2023-01-29 20:29:03 | INFO | fairseq_cli.train | begin validation on "valid" subset +2023-01-29 20:29:18 | INFO | valid | {"epoch": 28, "valid_s2c_loss": "0.28", "valid_loss": "0.19381", "valid_s2c_nll_loss": "0.28", "valid_s2c_accuracy": "95.263", "valid_s2c_total": "31.9583", "valid_s2c_n_correct": "30.4444", "valid_num_updates": "60000", "valid_best_s2c_accuracy": "95.263"} +2023-01-29 20:29:18 | INFO | fairseq.checkpoint_utils | Preparing to save checkpoint for epoch 28 @ 60000 updates +2023-01-29 20:29:18 | INFO | fairseq.trainer | Saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_28_60000.pt +2023-01-29 20:29:21 | INFO | fairseq.trainer | Finished saving checkpoint to /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_28_60000.pt +2023-01-29 20:29:30 | INFO | fairseq.checkpoint_utils | Saved checkpoint /home/wangrui/projects/SpeechT5/experimental/s2c/checkpoint_28_60000.pt (epoch 28 @ 60000 updates, score 95.263) (writing took 12.561591240111738 seconds) +2023-01-29 20:29:30 | INFO | fairseq_cli.train | end of epoch 28 (average epoch stats below) +2023-01-29 20:29:30 | INFO | train | {"epoch": 28, "train_s2c_loss": "0.012", "train_loss": "0.0085", "train_s2c_nll_loss": "0.012", "train_s2c_accuracy": "99.895", "train_s2c_total": "63.9982", "train_s2c_n_correct": "63.9313", "train_wps": "233.4", "train_ups": "3.65", "train_wpb": "64", "train_bsz": "64", "train_num_updates": "60000", "train_lr": "1e-08", "train_gnorm": "0.436", "train_loss_scale": "4096", "train_train_wall": "411", "train_gb_free": "7.3", "train_wall": "15468"} +2023-01-29 20:29:30 | INFO | fairseq_cli.train | done training in 15464.5 seconds