icefall-asr-librispeech-conformer-ctc2-jit-bpe-500-2022-07-21
/
log
/log-attention-decoder
/log-decode-2022-07-20-21-02-14
2022-07-20 21:02:14,406 INFO [decode.py:653] Decoding started | |
2022-07-20 21:02:14,406 INFO [decode.py:654] {'subsampling_factor': 4, 'feature_dim': 80, 'nhead': 8, 'dim_feedforward': 2048, 'encoder_dim': 512, 'num_encoder_layers': 12, 'search_beam': 20, 'output_beam': 8, 'min_active_states': 30, 'max_active_states': 10000, 'use_double_scores': True, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '350e449fe5d7b4231f77eb0add764782eed9f5d2', 'k2-git-date': 'Thu May 26 22:56:24 2022', 'lhotse-version': '1.3.0.dev+git.232f3eb.dirty', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'conformer_ctc2', 'icefall-git-sha1': 'd812f82-dirty', 'icefall-git-date': 'Wed Jul 20 19:47:36 2022', 'icefall-path': '/home/storage23/wangquandong/experiment/open_source/icefall', 'k2-path': '/home/storage23/wangquandong/tools/k2/k2/python/k2/__init__.py', 'lhotse-path': '/home/storage23/wangquandong/tools/lhotse/lhotse/__init__.py', 'hostname': 'tj1-asr-train-v100-30.kscn', 'IP address': '10.38.22.183'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'method': 'attention-decoder', 'use_averaged_model': True, 'num_decoder_layers': 6, 'num_paths': 100, 'nbest_scale': 0.5, 'exp_dir': PosixPath('pruned_transducer_stateless_smooth/quandongtest_8gpu_ctc_attnetion2-exp'), 'lang_dir': PosixPath('data/lang_bpe_500'), 'lm_dir': PosixPath('data/lm'), 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 20, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures'} | |
2022-07-20 21:02:14,821 INFO [lexicon.py:176] Loading pre-compiled data/lang_bpe_500/Linv.pt | |
2022-07-20 21:02:14,886 INFO [decode.py:664] device: cuda:0 | |
2022-07-20 21:02:21,301 INFO [decode.py:730] Loading pre-compiled G_4_gram.pt | |
2022-07-20 21:02:26,829 INFO [decode.py:821] Calculating the averaged model over epoch range from 22 (excluded) to 30 | |
2022-07-20 21:02:29,635 INFO [decode.py:837] Number of model parameters: 103071035 | |
2022-07-20 21:02:29,635 INFO [asr_datamodule.py:444] About to get test-clean cuts | |
2022-07-20 21:02:29,639 INFO [asr_datamodule.py:451] About to get test-other cuts | |
2022-07-20 21:02:31,600 INFO [decode.py:588] batch 0/?, cuts processed until now is 1 | |
2022-07-20 21:04:08,163 INFO [decode.py:588] batch 100/?, cuts processed until now is 212 | |
2022-07-20 21:05:41,871 INFO [decode.py:588] batch 200/?, cuts processed until now is 459 | |
2022-07-20 21:07:13,153 INFO [decode.py:588] batch 300/?, cuts processed until now is 717 | |
2022-07-20 21:08:43,103 INFO [decode.py:588] batch 400/?, cuts processed until now is 949 | |
2022-07-20 21:10:19,640 INFO [decode.py:588] batch 500/?, cuts processed until now is 1163 | |
2022-07-20 21:11:51,100 INFO [decode.py:588] batch 600/?, cuts processed until now is 1411 | |
2022-07-20 21:13:20,028 INFO [decode.py:588] batch 700/?, cuts processed until now is 1652 | |
2022-07-20 21:14:53,913 INFO [decode.py:588] batch 800/?, cuts processed until now is 1867 | |
2022-07-20 21:16:20,862 INFO [decode.py:588] batch 900/?, cuts processed until now is 2122 | |
2022-07-20 21:17:51,185 INFO [decode.py:588] batch 1000/?, cuts processed until now is 2321 | |
2022-07-20 21:19:26,869 INFO [decode.py:588] batch 1100/?, cuts processed until now is 2468 | |
2022-07-20 21:20:57,079 INFO [decode.py:588] batch 1200/?, cuts processed until now is 2601 | |
2022-07-20 21:24:52,558 INFO [decode.py:637] | |
For test-clean, WER of different settings are: | |
ngram_lm_scale_0.6_attention_scale_0.5 2.59 best for test-clean | |
ngram_lm_scale_0.7_attention_scale_1.1 2.59 | |
ngram_lm_scale_0.7_attention_scale_1.2 2.59 | |
ngram_lm_scale_0.7_attention_scale_1.3 2.59 | |
ngram_lm_scale_0.9_attention_scale_0.5 2.59 | |
ngram_lm_scale_0.9_attention_scale_0.6 2.59 | |
ngram_lm_scale_0.9_attention_scale_1.3 2.59 | |
ngram_lm_scale_1.0_attention_scale_0.6 2.59 | |
ngram_lm_scale_1.0_attention_scale_0.7 2.59 | |
ngram_lm_scale_1.0_attention_scale_1.5 2.59 | |
ngram_lm_scale_1.1_attention_scale_0.6 2.59 | |
ngram_lm_scale_1.1_attention_scale_0.9 2.59 | |
ngram_lm_scale_1.2_attention_scale_1.1 2.59 | |
ngram_lm_scale_1.5_attention_scale_1.5 2.59 | |
ngram_lm_scale_0.6_attention_scale_0.9 2.6 | |
ngram_lm_scale_0.6_attention_scale_1.0 2.6 | |
ngram_lm_scale_0.6_attention_scale_1.1 2.6 | |
ngram_lm_scale_0.6_attention_scale_1.2 2.6 | |
ngram_lm_scale_0.6_attention_scale_1.3 2.6 | |
ngram_lm_scale_0.6_attention_scale_1.9 2.6 | |
ngram_lm_scale_0.6_attention_scale_2.0 2.6 | |
ngram_lm_scale_0.7_attention_scale_0.5 2.6 | |
ngram_lm_scale_0.7_attention_scale_0.6 2.6 | |
ngram_lm_scale_0.7_attention_scale_0.7 2.6 | |
ngram_lm_scale_0.7_attention_scale_0.9 2.6 | |
ngram_lm_scale_0.7_attention_scale_1.0 2.6 | |
ngram_lm_scale_0.7_attention_scale_2.3 2.6 | |
ngram_lm_scale_0.9_attention_scale_0.7 2.6 | |
ngram_lm_scale_0.9_attention_scale_0.9 2.6 | |
ngram_lm_scale_0.9_attention_scale_1.0 2.6 | |
ngram_lm_scale_0.9_attention_scale_1.1 2.6 | |
ngram_lm_scale_0.9_attention_scale_1.2 2.6 | |
ngram_lm_scale_0.9_attention_scale_1.5 2.6 | |
ngram_lm_scale_0.9_attention_scale_1.7 2.6 | |
ngram_lm_scale_0.9_attention_scale_1.9 2.6 | |
ngram_lm_scale_1.0_attention_scale_0.9 2.6 | |
ngram_lm_scale_1.0_attention_scale_1.0 2.6 | |
ngram_lm_scale_1.0_attention_scale_1.1 2.6 | |
ngram_lm_scale_1.0_attention_scale_1.7 2.6 | |
ngram_lm_scale_1.1_attention_scale_0.7 2.6 | |
ngram_lm_scale_1.1_attention_scale_1.0 2.6 | |
ngram_lm_scale_1.1_attention_scale_1.7 2.6 | |
ngram_lm_scale_1.1_attention_scale_1.9 2.6 | |
ngram_lm_scale_1.1_attention_scale_2.0 2.6 | |
ngram_lm_scale_1.1_attention_scale_2.1 2.6 | |
ngram_lm_scale_1.1_attention_scale_2.2 2.6 | |
ngram_lm_scale_1.2_attention_scale_0.9 2.6 | |
ngram_lm_scale_1.2_attention_scale_1.0 2.6 | |
ngram_lm_scale_1.2_attention_scale_2.2 2.6 | |
ngram_lm_scale_1.2_attention_scale_2.3 2.6 | |
ngram_lm_scale_1.3_attention_scale_1.0 2.6 | |
ngram_lm_scale_1.3_attention_scale_1.1 2.6 | |
ngram_lm_scale_1.3_attention_scale_1.2 2.6 | |
ngram_lm_scale_1.3_attention_scale_1.3 2.6 | |
ngram_lm_scale_1.5_attention_scale_1.7 2.6 | |
ngram_lm_scale_1.5_attention_scale_2.1 2.6 | |
ngram_lm_scale_1.7_attention_scale_1.9 2.6 | |
ngram_lm_scale_0.5_attention_scale_1.2 2.61 | |
ngram_lm_scale_0.5_attention_scale_1.3 2.61 | |
ngram_lm_scale_0.5_attention_scale_1.5 2.61 | |
ngram_lm_scale_0.5_attention_scale_1.7 2.61 | |
ngram_lm_scale_0.5_attention_scale_1.9 2.61 | |
ngram_lm_scale_0.5_attention_scale_2.0 2.61 | |
ngram_lm_scale_0.5_attention_scale_2.2 2.61 | |
ngram_lm_scale_0.6_attention_scale_0.6 2.61 | |
ngram_lm_scale_0.6_attention_scale_0.7 2.61 | |
ngram_lm_scale_0.6_attention_scale_1.5 2.61 | |
ngram_lm_scale_0.6_attention_scale_1.7 2.61 | |
ngram_lm_scale_0.6_attention_scale_2.1 2.61 | |
ngram_lm_scale_0.6_attention_scale_2.2 2.61 | |
ngram_lm_scale_0.6_attention_scale_2.3 2.61 | |
ngram_lm_scale_0.6_attention_scale_2.5 2.61 | |
ngram_lm_scale_0.7_attention_scale_0.3 2.61 | |
ngram_lm_scale_0.7_attention_scale_1.5 2.61 | |
ngram_lm_scale_0.7_attention_scale_1.7 2.61 | |
ngram_lm_scale_0.7_attention_scale_1.9 2.61 | |
ngram_lm_scale_0.7_attention_scale_2.2 2.61 | |
ngram_lm_scale_0.7_attention_scale_2.5 2.61 | |
ngram_lm_scale_0.9_attention_scale_2.0 2.61 | |
ngram_lm_scale_0.9_attention_scale_2.1 2.61 | |
ngram_lm_scale_0.9_attention_scale_2.2 2.61 | |
ngram_lm_scale_0.9_attention_scale_2.3 2.61 | |
ngram_lm_scale_0.9_attention_scale_2.5 2.61 | |
ngram_lm_scale_0.9_attention_scale_3.0 2.61 | |
ngram_lm_scale_1.0_attention_scale_0.5 2.61 | |
ngram_lm_scale_1.0_attention_scale_1.2 2.61 | |
ngram_lm_scale_1.0_attention_scale_1.3 2.61 | |
ngram_lm_scale_1.0_attention_scale_1.9 2.61 | |
ngram_lm_scale_1.0_attention_scale_2.2 2.61 | |
ngram_lm_scale_1.0_attention_scale_2.3 2.61 | |
ngram_lm_scale_1.0_attention_scale_2.5 2.61 | |
ngram_lm_scale_1.0_attention_scale_3.0 2.61 | |
ngram_lm_scale_1.1_attention_scale_1.1 2.61 | |
ngram_lm_scale_1.1_attention_scale_1.2 2.61 | |
ngram_lm_scale_1.1_attention_scale_1.3 2.61 | |
ngram_lm_scale_1.1_attention_scale_1.5 2.61 | |
ngram_lm_scale_1.1_attention_scale_2.3 2.61 | |
ngram_lm_scale_1.2_attention_scale_0.7 2.61 | |
ngram_lm_scale_1.2_attention_scale_1.2 2.61 | |
ngram_lm_scale_1.2_attention_scale_1.3 2.61 | |
ngram_lm_scale_1.2_attention_scale_1.7 2.61 | |
ngram_lm_scale_1.2_attention_scale_1.9 2.61 | |
ngram_lm_scale_1.2_attention_scale_2.0 2.61 | |
ngram_lm_scale_1.2_attention_scale_2.1 2.61 | |
ngram_lm_scale_1.2_attention_scale_2.5 2.61 | |
ngram_lm_scale_1.2_attention_scale_5.0 2.61 | |
ngram_lm_scale_1.3_attention_scale_0.9 2.61 | |
ngram_lm_scale_1.3_attention_scale_1.5 2.61 | |
ngram_lm_scale_1.3_attention_scale_1.7 2.61 | |
ngram_lm_scale_1.3_attention_scale_1.9 2.61 | |
ngram_lm_scale_1.3_attention_scale_2.2 2.61 | |
ngram_lm_scale_1.3_attention_scale_2.3 2.61 | |
ngram_lm_scale_1.3_attention_scale_2.5 2.61 | |
ngram_lm_scale_1.3_attention_scale_3.0 2.61 | |
ngram_lm_scale_1.3_attention_scale_5.0 2.61 | |
ngram_lm_scale_1.5_attention_scale_1.3 2.61 | |
ngram_lm_scale_1.5_attention_scale_1.9 2.61 | |
ngram_lm_scale_1.5_attention_scale_2.0 2.61 | |
ngram_lm_scale_1.5_attention_scale_2.2 2.61 | |
ngram_lm_scale_1.5_attention_scale_2.3 2.61 | |
ngram_lm_scale_1.5_attention_scale_2.5 2.61 | |
ngram_lm_scale_1.5_attention_scale_3.0 2.61 | |
ngram_lm_scale_1.5_attention_scale_5.0 2.61 | |
ngram_lm_scale_1.7_attention_scale_2.0 2.61 | |
ngram_lm_scale_1.7_attention_scale_2.1 2.61 | |
ngram_lm_scale_1.7_attention_scale_2.2 2.61 | |
ngram_lm_scale_1.7_attention_scale_2.3 2.61 | |
ngram_lm_scale_1.7_attention_scale_2.5 2.61 | |
ngram_lm_scale_1.7_attention_scale_5.0 2.61 | |
ngram_lm_scale_2.0_attention_scale_2.5 2.61 | |
ngram_lm_scale_2.3_attention_scale_4.0 2.61 | |
ngram_lm_scale_2.5_attention_scale_5.0 2.61 | |
ngram_lm_scale_0.5_attention_scale_0.3 2.62 | |
ngram_lm_scale_0.5_attention_scale_0.6 2.62 | |
ngram_lm_scale_0.5_attention_scale_0.7 2.62 | |
ngram_lm_scale_0.5_attention_scale_0.9 2.62 | |
ngram_lm_scale_0.5_attention_scale_1.0 2.62 | |
ngram_lm_scale_0.5_attention_scale_1.1 2.62 | |
ngram_lm_scale_0.5_attention_scale_2.1 2.62 | |
ngram_lm_scale_0.5_attention_scale_2.3 2.62 | |
ngram_lm_scale_0.5_attention_scale_2.5 2.62 | |
ngram_lm_scale_0.5_attention_scale_3.0 2.62 | |
ngram_lm_scale_0.6_attention_scale_0.3 2.62 | |
ngram_lm_scale_0.6_attention_scale_3.0 2.62 | |
ngram_lm_scale_0.7_attention_scale_2.0 2.62 | |
ngram_lm_scale_0.7_attention_scale_2.1 2.62 | |
ngram_lm_scale_0.7_attention_scale_3.0 2.62 | |
ngram_lm_scale_0.9_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.0_attention_scale_2.0 2.62 | |
ngram_lm_scale_1.0_attention_scale_2.1 2.62 | |
ngram_lm_scale_1.0_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.0_attention_scale_5.0 2.62 | |
ngram_lm_scale_1.1_attention_scale_0.5 2.62 | |
ngram_lm_scale_1.1_attention_scale_2.5 2.62 | |
ngram_lm_scale_1.1_attention_scale_3.0 2.62 | |
ngram_lm_scale_1.1_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.1_attention_scale_5.0 2.62 | |
ngram_lm_scale_1.2_attention_scale_1.5 2.62 | |
ngram_lm_scale_1.2_attention_scale_3.0 2.62 | |
ngram_lm_scale_1.2_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.3_attention_scale_2.0 2.62 | |
ngram_lm_scale_1.3_attention_scale_2.1 2.62 | |
ngram_lm_scale_1.3_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.5_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.7_attention_scale_1.7 2.62 | |
ngram_lm_scale_1.7_attention_scale_3.0 2.62 | |
ngram_lm_scale_1.7_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.9_attention_scale_1.9 2.62 | |
ngram_lm_scale_1.9_attention_scale_2.0 2.62 | |
ngram_lm_scale_1.9_attention_scale_2.1 2.62 | |
ngram_lm_scale_1.9_attention_scale_2.2 2.62 | |
ngram_lm_scale_1.9_attention_scale_2.3 2.62 | |
ngram_lm_scale_1.9_attention_scale_2.5 2.62 | |
ngram_lm_scale_1.9_attention_scale_3.0 2.62 | |
ngram_lm_scale_1.9_attention_scale_4.0 2.62 | |
ngram_lm_scale_1.9_attention_scale_5.0 2.62 | |
ngram_lm_scale_2.0_attention_scale_2.0 2.62 | |
ngram_lm_scale_2.0_attention_scale_2.1 2.62 | |
ngram_lm_scale_2.0_attention_scale_2.2 2.62 | |
ngram_lm_scale_2.0_attention_scale_2.3 2.62 | |
ngram_lm_scale_2.0_attention_scale_3.0 2.62 | |
ngram_lm_scale_2.0_attention_scale_4.0 2.62 | |
ngram_lm_scale_2.0_attention_scale_5.0 2.62 | |
ngram_lm_scale_2.1_attention_scale_4.0 2.62 | |
ngram_lm_scale_2.1_attention_scale_5.0 2.62 | |
ngram_lm_scale_2.2_attention_scale_3.0 2.62 | |
ngram_lm_scale_2.2_attention_scale_4.0 2.62 | |
ngram_lm_scale_2.2_attention_scale_5.0 2.62 | |
ngram_lm_scale_2.3_attention_scale_3.0 2.62 | |
ngram_lm_scale_2.3_attention_scale_5.0 2.62 | |
ngram_lm_scale_0.3_attention_scale_1.5 2.63 | |
ngram_lm_scale_0.5_attention_scale_0.5 2.63 | |
ngram_lm_scale_0.6_attention_scale_4.0 2.63 | |
ngram_lm_scale_0.7_attention_scale_4.0 2.63 | |
ngram_lm_scale_0.7_attention_scale_5.0 2.63 | |
ngram_lm_scale_0.9_attention_scale_5.0 2.63 | |
ngram_lm_scale_1.2_attention_scale_0.6 2.63 | |
ngram_lm_scale_1.5_attention_scale_1.2 2.63 | |
ngram_lm_scale_1.7_attention_scale_1.5 2.63 | |
ngram_lm_scale_2.0_attention_scale_1.9 2.63 | |
ngram_lm_scale_2.1_attention_scale_2.1 2.63 | |
ngram_lm_scale_2.1_attention_scale_2.2 2.63 | |
ngram_lm_scale_2.1_attention_scale_2.3 2.63 | |
ngram_lm_scale_2.1_attention_scale_2.5 2.63 | |
ngram_lm_scale_2.1_attention_scale_3.0 2.63 | |
ngram_lm_scale_2.2_attention_scale_2.3 2.63 | |
ngram_lm_scale_2.3_attention_scale_2.5 2.63 | |
ngram_lm_scale_3.0_attention_scale_4.0 2.63 | |
ngram_lm_scale_3.0_attention_scale_5.0 2.63 | |
ngram_lm_scale_0.3_attention_scale_0.5 2.64 | |
ngram_lm_scale_0.3_attention_scale_0.6 2.64 | |
ngram_lm_scale_0.3_attention_scale_0.9 2.64 | |
ngram_lm_scale_0.3_attention_scale_1.2 2.64 | |
ngram_lm_scale_0.3_attention_scale_1.3 2.64 | |
ngram_lm_scale_0.3_attention_scale_1.7 2.64 | |
ngram_lm_scale_0.3_attention_scale_1.9 2.64 | |
ngram_lm_scale_0.5_attention_scale_0.08 2.64 | |
ngram_lm_scale_0.5_attention_scale_0.1 2.64 | |
ngram_lm_scale_0.5_attention_scale_4.0 2.64 | |
ngram_lm_scale_0.9_attention_scale_0.3 2.64 | |
ngram_lm_scale_1.2_attention_scale_0.5 2.64 | |
ngram_lm_scale_1.3_attention_scale_0.7 2.64 | |
ngram_lm_scale_1.5_attention_scale_1.1 2.64 | |
ngram_lm_scale_1.9_attention_scale_1.7 2.64 | |
ngram_lm_scale_2.2_attention_scale_2.2 2.64 | |
ngram_lm_scale_2.2_attention_scale_2.5 2.64 | |
ngram_lm_scale_2.3_attention_scale_2.3 2.64 | |
ngram_lm_scale_2.5_attention_scale_2.5 2.64 | |
ngram_lm_scale_2.5_attention_scale_3.0 2.64 | |
ngram_lm_scale_2.5_attention_scale_4.0 2.64 | |
ngram_lm_scale_0.3_attention_scale_0.3 2.65 | |
ngram_lm_scale_0.3_attention_scale_0.7 2.65 | |
ngram_lm_scale_0.3_attention_scale_1.0 2.65 | |
ngram_lm_scale_0.3_attention_scale_1.1 2.65 | |
ngram_lm_scale_0.3_attention_scale_2.0 2.65 | |
ngram_lm_scale_0.3_attention_scale_2.1 2.65 | |
ngram_lm_scale_0.3_attention_scale_2.2 2.65 | |
ngram_lm_scale_0.3_attention_scale_2.3 2.65 | |
ngram_lm_scale_0.3_attention_scale_2.5 2.65 | |
ngram_lm_scale_0.3_attention_scale_3.0 2.65 | |
ngram_lm_scale_0.5_attention_scale_0.05 2.65 | |
ngram_lm_scale_0.6_attention_scale_0.05 2.65 | |
ngram_lm_scale_0.6_attention_scale_0.08 2.65 | |
ngram_lm_scale_0.6_attention_scale_0.1 2.65 | |
ngram_lm_scale_0.6_attention_scale_5.0 2.65 | |
ngram_lm_scale_1.0_attention_scale_0.3 2.65 | |
ngram_lm_scale_1.5_attention_scale_1.0 2.65 | |
ngram_lm_scale_1.9_attention_scale_1.5 2.65 | |
ngram_lm_scale_2.0_attention_scale_1.7 2.65 | |
ngram_lm_scale_2.1_attention_scale_2.0 2.65 | |
ngram_lm_scale_2.2_attention_scale_2.0 2.65 | |
ngram_lm_scale_2.2_attention_scale_2.1 2.65 | |
ngram_lm_scale_2.3_attention_scale_2.2 2.65 | |
ngram_lm_scale_4.0_attention_scale_5.0 2.65 | |
ngram_lm_scale_0.08_attention_scale_1.0 2.66 | |
ngram_lm_scale_0.1_attention_scale_1.0 2.66 | |
ngram_lm_scale_0.1_attention_scale_1.1 2.66 | |
ngram_lm_scale_0.3_attention_scale_4.0 2.66 | |
ngram_lm_scale_0.5_attention_scale_0.01 2.66 | |
ngram_lm_scale_0.5_attention_scale_5.0 2.66 | |
ngram_lm_scale_0.7_attention_scale_0.05 2.66 | |
ngram_lm_scale_0.7_attention_scale_0.08 2.66 | |
ngram_lm_scale_0.7_attention_scale_0.1 2.66 | |
ngram_lm_scale_1.3_attention_scale_0.6 2.66 | |
ngram_lm_scale_1.5_attention_scale_0.9 2.66 | |
ngram_lm_scale_1.7_attention_scale_1.1 2.66 | |
ngram_lm_scale_1.7_attention_scale_1.2 2.66 | |
ngram_lm_scale_1.7_attention_scale_1.3 2.66 | |
ngram_lm_scale_2.1_attention_scale_1.7 2.66 | |
ngram_lm_scale_2.1_attention_scale_1.9 2.66 | |
ngram_lm_scale_2.3_attention_scale_2.1 2.66 | |
ngram_lm_scale_0.05_attention_scale_1.0 2.67 | |
ngram_lm_scale_0.05_attention_scale_1.1 2.67 | |
ngram_lm_scale_0.05_attention_scale_1.2 2.67 | |
ngram_lm_scale_0.08_attention_scale_1.1 2.67 | |
ngram_lm_scale_0.08_attention_scale_1.2 2.67 | |
ngram_lm_scale_0.08_attention_scale_1.3 2.67 | |
ngram_lm_scale_0.08_attention_scale_1.5 2.67 | |
ngram_lm_scale_0.08_attention_scale_2.5 2.67 | |
ngram_lm_scale_0.1_attention_scale_1.2 2.67 | |
ngram_lm_scale_0.1_attention_scale_1.3 2.67 | |
ngram_lm_scale_0.1_attention_scale_1.5 2.67 | |
ngram_lm_scale_0.1_attention_scale_2.5 2.67 | |
ngram_lm_scale_0.3_attention_scale_0.05 2.67 | |
ngram_lm_scale_0.3_attention_scale_0.1 2.67 | |
ngram_lm_scale_0.6_attention_scale_0.01 2.67 | |
ngram_lm_scale_2.0_attention_scale_1.5 2.67 | |
ngram_lm_scale_2.2_attention_scale_1.9 2.67 | |
ngram_lm_scale_2.3_attention_scale_1.9 2.67 | |
ngram_lm_scale_2.3_attention_scale_2.0 2.67 | |
ngram_lm_scale_2.5_attention_scale_2.3 2.67 | |
ngram_lm_scale_3.0_attention_scale_3.0 2.67 | |
ngram_lm_scale_0.01_attention_scale_1.3 2.68 | |
ngram_lm_scale_0.05_attention_scale_1.3 2.68 | |
ngram_lm_scale_0.05_attention_scale_1.5 2.68 | |
ngram_lm_scale_0.05_attention_scale_4.0 2.68 | |
ngram_lm_scale_0.08_attention_scale_1.7 2.68 | |
ngram_lm_scale_0.08_attention_scale_2.3 2.68 | |
ngram_lm_scale_0.08_attention_scale_3.0 2.68 | |
ngram_lm_scale_0.08_attention_scale_4.0 2.68 | |
ngram_lm_scale_0.1_attention_scale_0.9 2.68 | |
ngram_lm_scale_0.1_attention_scale_1.7 2.68 | |
ngram_lm_scale_0.1_attention_scale_1.9 2.68 | |
ngram_lm_scale_0.1_attention_scale_2.0 2.68 | |
ngram_lm_scale_0.1_attention_scale_2.1 2.68 | |
ngram_lm_scale_0.1_attention_scale_2.2 2.68 | |
ngram_lm_scale_0.1_attention_scale_2.3 2.68 | |
ngram_lm_scale_0.1_attention_scale_3.0 2.68 | |
ngram_lm_scale_0.1_attention_scale_4.0 2.68 | |
ngram_lm_scale_0.3_attention_scale_0.01 2.68 | |
ngram_lm_scale_0.3_attention_scale_0.08 2.68 | |
ngram_lm_scale_0.3_attention_scale_5.0 2.68 | |
ngram_lm_scale_0.7_attention_scale_0.01 2.68 | |
ngram_lm_scale_1.1_attention_scale_0.3 2.68 | |
ngram_lm_scale_1.9_attention_scale_1.3 2.68 | |
ngram_lm_scale_2.5_attention_scale_2.2 2.68 | |
ngram_lm_scale_0.01_attention_scale_0.9 2.69 | |
ngram_lm_scale_0.01_attention_scale_1.0 2.69 | |
ngram_lm_scale_0.01_attention_scale_1.1 2.69 | |
ngram_lm_scale_0.01_attention_scale_1.2 2.69 | |
ngram_lm_scale_0.01_attention_scale_1.5 2.69 | |
ngram_lm_scale_0.01_attention_scale_2.0 2.69 | |
ngram_lm_scale_0.01_attention_scale_4.0 2.69 | |
ngram_lm_scale_0.01_attention_scale_5.0 2.69 | |
ngram_lm_scale_0.05_attention_scale_0.9 2.69 | |
ngram_lm_scale_0.05_attention_scale_1.7 2.69 | |
ngram_lm_scale_0.05_attention_scale_1.9 2.69 | |
ngram_lm_scale_0.05_attention_scale_2.0 2.69 | |
ngram_lm_scale_0.05_attention_scale_2.1 2.69 | |
ngram_lm_scale_0.05_attention_scale_2.2 2.69 | |
ngram_lm_scale_0.05_attention_scale_2.3 2.69 | |
ngram_lm_scale_0.05_attention_scale_2.5 2.69 | |
ngram_lm_scale_0.05_attention_scale_3.0 2.69 | |
ngram_lm_scale_0.05_attention_scale_5.0 2.69 | |
ngram_lm_scale_0.08_attention_scale_0.7 2.69 | |
ngram_lm_scale_0.08_attention_scale_0.9 2.69 | |
ngram_lm_scale_0.08_attention_scale_1.9 2.69 | |
ngram_lm_scale_0.08_attention_scale_2.0 2.69 | |
ngram_lm_scale_0.08_attention_scale_2.1 2.69 | |
ngram_lm_scale_0.08_attention_scale_2.2 2.69 | |
ngram_lm_scale_0.08_attention_scale_5.0 2.69 | |
ngram_lm_scale_0.1_attention_scale_0.3 2.69 | |
ngram_lm_scale_0.1_attention_scale_0.7 2.69 | |
ngram_lm_scale_0.1_attention_scale_5.0 2.69 | |
ngram_lm_scale_0.9_attention_scale_0.1 2.69 | |
ngram_lm_scale_1.3_attention_scale_0.5 2.69 | |
ngram_lm_scale_2.2_attention_scale_1.7 2.69 | |
ngram_lm_scale_0.01_attention_scale_1.7 2.7 | |
ngram_lm_scale_0.01_attention_scale_1.9 2.7 | |
ngram_lm_scale_0.01_attention_scale_2.1 2.7 | |
ngram_lm_scale_0.01_attention_scale_2.2 2.7 | |
ngram_lm_scale_0.01_attention_scale_2.3 2.7 | |
ngram_lm_scale_0.01_attention_scale_2.5 2.7 | |
ngram_lm_scale_0.01_attention_scale_3.0 2.7 | |
ngram_lm_scale_0.05_attention_scale_0.6 2.7 | |
ngram_lm_scale_0.05_attention_scale_0.7 2.7 | |
ngram_lm_scale_0.08_attention_scale_0.1 2.7 | |
ngram_lm_scale_0.08_attention_scale_0.3 2.7 | |
ngram_lm_scale_0.08_attention_scale_0.5 2.7 | |
ngram_lm_scale_0.08_attention_scale_0.6 2.7 | |
ngram_lm_scale_0.1_attention_scale_0.1 2.7 | |
ngram_lm_scale_0.1_attention_scale_0.5 2.7 | |
ngram_lm_scale_0.1_attention_scale_0.6 2.7 | |
ngram_lm_scale_0.9_attention_scale_0.08 2.7 | |
ngram_lm_scale_1.7_attention_scale_1.0 2.7 | |
ngram_lm_scale_1.9_attention_scale_1.2 2.7 | |
ngram_lm_scale_2.1_attention_scale_1.5 2.7 | |
ngram_lm_scale_2.5_attention_scale_2.0 2.7 | |
ngram_lm_scale_2.5_attention_scale_2.1 2.7 | |
ngram_lm_scale_4.0_attention_scale_4.0 2.7 | |
ngram_lm_scale_0.01_attention_scale_0.3 2.71 | |
ngram_lm_scale_0.01_attention_scale_0.7 2.71 | |
ngram_lm_scale_0.05_attention_scale_0.3 2.71 | |
ngram_lm_scale_0.05_attention_scale_0.5 2.71 | |
ngram_lm_scale_0.08_attention_scale_0.08 2.71 | |
ngram_lm_scale_0.1_attention_scale_0.05 2.71 | |
ngram_lm_scale_0.1_attention_scale_0.08 2.71 | |
ngram_lm_scale_1.5_attention_scale_0.7 2.71 | |
ngram_lm_scale_2.0_attention_scale_1.3 2.71 | |
ngram_lm_scale_2.3_attention_scale_1.7 2.71 | |
ngram_lm_scale_0.01_attention_scale_0.5 2.72 | |
ngram_lm_scale_0.01_attention_scale_0.6 2.72 | |
ngram_lm_scale_0.05_attention_scale_0.08 2.72 | |
ngram_lm_scale_0.05_attention_scale_0.1 2.72 | |
ngram_lm_scale_0.08_attention_scale_0.05 2.72 | |
ngram_lm_scale_0.1_attention_scale_0.01 2.72 | |
ngram_lm_scale_0.9_attention_scale_0.05 2.72 | |
ngram_lm_scale_3.0_attention_scale_2.5 2.72 | |
ngram_lm_scale_0.05_attention_scale_0.05 2.73 | |
ngram_lm_scale_0.08_attention_scale_0.01 2.73 | |
ngram_lm_scale_0.9_attention_scale_0.01 2.73 | |
ngram_lm_scale_1.7_attention_scale_0.9 2.73 | |
ngram_lm_scale_2.5_attention_scale_1.9 2.73 | |
ngram_lm_scale_0.01_attention_scale_0.08 2.74 | |
ngram_lm_scale_0.01_attention_scale_0.1 2.74 | |
ngram_lm_scale_0.05_attention_scale_0.01 2.74 | |
ngram_lm_scale_1.9_attention_scale_1.1 2.74 | |
ngram_lm_scale_2.2_attention_scale_1.5 2.74 | |
ngram_lm_scale_0.01_attention_scale_0.01 2.75 | |
ngram_lm_scale_0.01_attention_scale_0.05 2.75 | |
ngram_lm_scale_1.0_attention_scale_0.1 2.75 | |
ngram_lm_scale_1.2_attention_scale_0.3 2.75 | |
ngram_lm_scale_5.0_attention_scale_5.0 2.75 | |
ngram_lm_scale_1.5_attention_scale_0.6 2.76 | |
ngram_lm_scale_2.0_attention_scale_1.2 2.76 | |
ngram_lm_scale_1.0_attention_scale_0.08 2.77 | |
ngram_lm_scale_2.1_attention_scale_1.3 2.77 | |
ngram_lm_scale_2.3_attention_scale_1.5 2.78 | |
ngram_lm_scale_1.9_attention_scale_1.0 2.79 | |
ngram_lm_scale_2.5_attention_scale_1.7 2.79 | |
ngram_lm_scale_1.0_attention_scale_0.05 2.8 | |
ngram_lm_scale_2.0_attention_scale_1.1 2.8 | |
ngram_lm_scale_2.1_attention_scale_1.2 2.81 | |
ngram_lm_scale_3.0_attention_scale_2.3 2.81 | |
ngram_lm_scale_1.0_attention_scale_0.01 2.82 | |
ngram_lm_scale_1.1_attention_scale_0.1 2.82 | |
ngram_lm_scale_1.3_attention_scale_0.3 2.82 | |
ngram_lm_scale_2.2_attention_scale_1.3 2.82 | |
ngram_lm_scale_1.7_attention_scale_0.7 2.83 | |
ngram_lm_scale_3.0_attention_scale_2.2 2.83 | |
ngram_lm_scale_1.1_attention_scale_0.08 2.84 | |
ngram_lm_scale_1.5_attention_scale_0.5 2.84 | |
ngram_lm_scale_3.0_attention_scale_2.1 2.85 | |
ngram_lm_scale_1.1_attention_scale_0.05 2.86 | |
ngram_lm_scale_1.9_attention_scale_0.9 2.86 | |
ngram_lm_scale_2.0_attention_scale_1.0 2.86 | |
ngram_lm_scale_2.1_attention_scale_1.1 2.86 | |
ngram_lm_scale_2.2_attention_scale_1.2 2.87 | |
ngram_lm_scale_2.3_attention_scale_1.3 2.87 | |
ngram_lm_scale_1.1_attention_scale_0.01 2.89 | |
ngram_lm_scale_2.5_attention_scale_1.5 2.89 | |
ngram_lm_scale_3.0_attention_scale_2.0 2.9 | |
ngram_lm_scale_1.2_attention_scale_0.1 2.92 | |
ngram_lm_scale_2.0_attention_scale_0.9 2.92 | |
ngram_lm_scale_1.2_attention_scale_0.08 2.93 | |
ngram_lm_scale_1.7_attention_scale_0.6 2.93 | |
ngram_lm_scale_2.1_attention_scale_1.0 2.93 | |
ngram_lm_scale_2.2_attention_scale_1.1 2.95 | |
ngram_lm_scale_2.3_attention_scale_1.2 2.95 | |
ngram_lm_scale_1.2_attention_scale_0.05 2.97 | |
ngram_lm_scale_4.0_attention_scale_3.0 2.97 | |
ngram_lm_scale_3.0_attention_scale_1.9 2.99 | |
ngram_lm_scale_5.0_attention_scale_4.0 2.99 | |
ngram_lm_scale_1.3_attention_scale_0.1 3.0 | |
ngram_lm_scale_1.5_attention_scale_0.3 3.0 | |
ngram_lm_scale_1.7_attention_scale_0.5 3.0 | |
ngram_lm_scale_1.2_attention_scale_0.01 3.01 | |
ngram_lm_scale_1.9_attention_scale_0.7 3.01 | |
ngram_lm_scale_2.1_attention_scale_0.9 3.01 | |
ngram_lm_scale_2.2_attention_scale_1.0 3.01 | |
ngram_lm_scale_1.3_attention_scale_0.08 3.02 | |
ngram_lm_scale_2.3_attention_scale_1.1 3.02 | |
ngram_lm_scale_2.5_attention_scale_1.3 3.02 | |
ngram_lm_scale_1.3_attention_scale_0.05 3.09 | |
ngram_lm_scale_1.9_attention_scale_0.6 3.1 | |
ngram_lm_scale_2.0_attention_scale_0.7 3.1 | |
ngram_lm_scale_2.2_attention_scale_0.9 3.1 | |
ngram_lm_scale_2.3_attention_scale_1.0 3.1 | |
ngram_lm_scale_2.5_attention_scale_1.2 3.1 | |
ngram_lm_scale_3.0_attention_scale_1.7 3.1 | |
ngram_lm_scale_1.3_attention_scale_0.01 3.15 | |
ngram_lm_scale_2.5_attention_scale_1.1 3.18 | |
ngram_lm_scale_2.3_attention_scale_0.9 3.19 | |
ngram_lm_scale_4.0_attention_scale_2.5 3.19 | |
ngram_lm_scale_1.9_attention_scale_0.5 3.21 | |
ngram_lm_scale_2.1_attention_scale_0.7 3.21 | |
ngram_lm_scale_2.0_attention_scale_0.6 3.22 | |
ngram_lm_scale_1.7_attention_scale_0.3 3.23 | |
ngram_lm_scale_3.0_attention_scale_1.5 3.24 | |
ngram_lm_scale_2.5_attention_scale_1.0 3.27 | |
ngram_lm_scale_4.0_attention_scale_2.3 3.27 | |
ngram_lm_scale_1.5_attention_scale_0.1 3.29 | |
ngram_lm_scale_2.2_attention_scale_0.7 3.29 | |
ngram_lm_scale_2.1_attention_scale_0.6 3.3 | |
ngram_lm_scale_2.0_attention_scale_0.5 3.31 | |
ngram_lm_scale_1.5_attention_scale_0.08 3.32 | |
ngram_lm_scale_4.0_attention_scale_2.2 3.32 | |
ngram_lm_scale_2.5_attention_scale_0.9 3.34 | |
ngram_lm_scale_3.0_attention_scale_1.3 3.34 | |
ngram_lm_scale_2.3_attention_scale_0.7 3.35 | |
ngram_lm_scale_2.2_attention_scale_0.6 3.36 | |
ngram_lm_scale_5.0_attention_scale_3.0 3.36 | |
ngram_lm_scale_2.1_attention_scale_0.5 3.37 | |
ngram_lm_scale_1.5_attention_scale_0.05 3.38 | |
ngram_lm_scale_4.0_attention_scale_2.1 3.38 | |
ngram_lm_scale_3.0_attention_scale_1.2 3.42 | |
ngram_lm_scale_4.0_attention_scale_2.0 3.42 | |
ngram_lm_scale_1.5_attention_scale_0.01 3.45 | |
ngram_lm_scale_1.9_attention_scale_0.3 3.45 | |
ngram_lm_scale_2.3_attention_scale_0.6 3.46 | |
ngram_lm_scale_4.0_attention_scale_1.9 3.48 | |
ngram_lm_scale_2.2_attention_scale_0.5 3.51 | |
ngram_lm_scale_3.0_attention_scale_1.1 3.53 | |
ngram_lm_scale_1.7_attention_scale_0.1 3.54 | |
ngram_lm_scale_2.5_attention_scale_0.7 3.54 | |
ngram_lm_scale_1.7_attention_scale_0.08 3.58 | |
ngram_lm_scale_2.0_attention_scale_0.3 3.58 | |
ngram_lm_scale_5.0_attention_scale_2.5 3.59 | |
ngram_lm_scale_3.0_attention_scale_1.0 3.61 | |
ngram_lm_scale_2.3_attention_scale_0.5 3.62 | |
ngram_lm_scale_4.0_attention_scale_1.7 3.64 | |
ngram_lm_scale_1.7_attention_scale_0.05 3.65 | |
ngram_lm_scale_2.1_attention_scale_0.3 3.67 | |
ngram_lm_scale_2.5_attention_scale_0.6 3.67 | |
ngram_lm_scale_5.0_attention_scale_2.3 3.71 | |
ngram_lm_scale_1.7_attention_scale_0.01 3.72 | |
ngram_lm_scale_3.0_attention_scale_0.9 3.72 | |
ngram_lm_scale_4.0_attention_scale_1.5 3.76 | |
ngram_lm_scale_5.0_attention_scale_2.2 3.76 | |
ngram_lm_scale_2.2_attention_scale_0.3 3.78 | |
ngram_lm_scale_1.9_attention_scale_0.1 3.79 | |
ngram_lm_scale_2.5_attention_scale_0.5 3.81 | |
ngram_lm_scale_5.0_attention_scale_2.1 3.81 | |
ngram_lm_scale_1.9_attention_scale_0.08 3.83 | |
ngram_lm_scale_5.0_attention_scale_2.0 3.87 | |
ngram_lm_scale_1.9_attention_scale_0.05 3.88 | |
ngram_lm_scale_2.3_attention_scale_0.3 3.88 | |
ngram_lm_scale_2.0_attention_scale_0.1 3.9 | |
ngram_lm_scale_3.0_attention_scale_0.7 3.92 | |
ngram_lm_scale_5.0_attention_scale_1.9 3.93 | |
ngram_lm_scale_4.0_attention_scale_1.3 3.94 | |
ngram_lm_scale_2.0_attention_scale_0.08 3.95 | |
ngram_lm_scale_1.9_attention_scale_0.01 3.96 | |
ngram_lm_scale_4.0_attention_scale_1.2 3.99 | |
ngram_lm_scale_2.0_attention_scale_0.05 4.0 | |
ngram_lm_scale_2.1_attention_scale_0.1 4.01 | |
ngram_lm_scale_3.0_attention_scale_0.6 4.02 | |
ngram_lm_scale_2.1_attention_scale_0.08 4.05 | |
ngram_lm_scale_2.5_attention_scale_0.3 4.05 | |
ngram_lm_scale_5.0_attention_scale_1.7 4.06 | |
ngram_lm_scale_2.0_attention_scale_0.01 4.1 | |
ngram_lm_scale_4.0_attention_scale_1.1 4.1 | |
ngram_lm_scale_2.1_attention_scale_0.05 4.11 | |
ngram_lm_scale_2.2_attention_scale_0.1 4.12 | |
ngram_lm_scale_2.2_attention_scale_0.08 4.15 | |
ngram_lm_scale_3.0_attention_scale_0.5 4.16 | |
ngram_lm_scale_2.1_attention_scale_0.01 4.18 | |
ngram_lm_scale_2.2_attention_scale_0.05 4.19 | |
ngram_lm_scale_4.0_attention_scale_1.0 4.19 | |
ngram_lm_scale_5.0_attention_scale_1.5 4.19 | |
ngram_lm_scale_2.3_attention_scale_0.1 4.2 | |
ngram_lm_scale_2.3_attention_scale_0.08 4.23 | |
ngram_lm_scale_2.2_attention_scale_0.01 4.27 | |
ngram_lm_scale_2.3_attention_scale_0.05 4.28 | |
ngram_lm_scale_4.0_attention_scale_0.9 4.28 | |
ngram_lm_scale_2.3_attention_scale_0.01 4.34 | |
ngram_lm_scale_2.5_attention_scale_0.1 4.35 | |
ngram_lm_scale_5.0_attention_scale_1.3 4.35 | |
ngram_lm_scale_2.5_attention_scale_0.08 4.39 | |
ngram_lm_scale_3.0_attention_scale_0.3 4.4 | |
ngram_lm_scale_5.0_attention_scale_1.2 4.41 | |
ngram_lm_scale_2.5_attention_scale_0.05 4.43 | |
ngram_lm_scale_4.0_attention_scale_0.7 4.45 | |
ngram_lm_scale_5.0_attention_scale_1.1 4.46 | |
ngram_lm_scale_2.5_attention_scale_0.01 4.48 | |
ngram_lm_scale_4.0_attention_scale_0.6 4.54 | |
ngram_lm_scale_5.0_attention_scale_1.0 4.54 | |
ngram_lm_scale_5.0_attention_scale_0.9 4.62 | |
ngram_lm_scale_3.0_attention_scale_0.1 4.64 | |
ngram_lm_scale_4.0_attention_scale_0.5 4.65 | |
ngram_lm_scale_3.0_attention_scale_0.08 4.67 | |
ngram_lm_scale_3.0_attention_scale_0.05 4.7 | |
ngram_lm_scale_3.0_attention_scale_0.01 4.73 | |
ngram_lm_scale_5.0_attention_scale_0.7 4.76 | |
ngram_lm_scale_4.0_attention_scale_0.3 4.8 | |
ngram_lm_scale_5.0_attention_scale_0.6 4.85 | |
ngram_lm_scale_5.0_attention_scale_0.5 4.91 | |
ngram_lm_scale_4.0_attention_scale_0.1 4.99 | |
ngram_lm_scale_4.0_attention_scale_0.08 5.01 | |
ngram_lm_scale_4.0_attention_scale_0.05 5.02 | |
ngram_lm_scale_5.0_attention_scale_0.3 5.06 | |
ngram_lm_scale_4.0_attention_scale_0.01 5.07 | |
ngram_lm_scale_5.0_attention_scale_0.1 5.22 | |
ngram_lm_scale_5.0_attention_scale_0.08 5.24 | |
ngram_lm_scale_5.0_attention_scale_0.05 5.25 | |
ngram_lm_scale_5.0_attention_scale_0.01 5.27 | |
2022-07-20 21:24:54,113 INFO [decode.py:588] batch 0/?, cuts processed until now is 2 | |
2022-07-20 21:26:25,190 INFO [decode.py:588] batch 100/?, cuts processed until now is 249 | |
2022-07-20 21:27:58,029 INFO [decode.py:588] batch 200/?, cuts processed until now is 540 | |
2022-07-20 21:29:23,092 INFO [decode.py:588] batch 300/?, cuts processed until now is 834 | |
2022-07-20 21:30:51,288 INFO [decode.py:588] batch 400/?, cuts processed until now is 1104 | |
2022-07-20 21:32:21,736 INFO [decode.py:588] batch 500/?, cuts processed until now is 1350 | |
2022-07-20 21:33:54,991 INFO [decode.py:588] batch 600/?, cuts processed until now is 1640 | |
2022-07-20 21:35:18,198 INFO [decode.py:588] batch 700/?, cuts processed until now is 1933 | |
2022-07-20 21:36:49,206 INFO [decode.py:588] batch 800/?, cuts processed until now is 2175 | |
2022-07-20 21:38:16,845 INFO [decode.py:588] batch 900/?, cuts processed until now is 2440 | |
2022-07-20 21:38:31,538 INFO [decode.py:783] Caught exception: | |
CUDA out of memory. Tried to allocate 740.00 MiB (GPU 0; 31.75 GiB total capacity; 28.28 GiB already allocated; 447.50 MiB free; 29.92 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF | |
2022-07-20 21:38:31,538 INFO [decode.py:789] num_arcs before pruning: 349313 | |
2022-07-20 21:38:31,538 INFO [decode.py:792] This OOM is not an error. You can ignore it. If your model does not converge well, or --max-duration is too large, or the input sound file is difficult to decode, you will meet this exception. | |
2022-07-20 21:38:31,557 INFO [decode.py:803] num_arcs after pruning: 8796 | |
2022-07-20 21:39:44,765 INFO [decode.py:588] batch 1000/?, cuts processed until now is 2656 | |
2022-07-20 21:41:20,435 INFO [decode.py:588] batch 1100/?, cuts processed until now is 2839 | |
2022-07-20 21:46:22,023 INFO [decode.py:637] | |
For test-other, WER of different settings are: | |
ngram_lm_scale_1.1_attention_scale_0.9 5.54 best for test-other | |
ngram_lm_scale_1.5_attention_scale_1.5 5.54 | |
ngram_lm_scale_1.5_attention_scale_1.7 5.54 | |
ngram_lm_scale_1.7_attention_scale_2.0 5.54 | |
ngram_lm_scale_1.7_attention_scale_2.1 5.54 | |
ngram_lm_scale_1.2_attention_scale_1.1 5.55 | |
ngram_lm_scale_1.3_attention_scale_0.9 5.55 | |
ngram_lm_scale_1.3_attention_scale_1.1 5.55 | |
ngram_lm_scale_1.3_attention_scale_1.2 5.55 | |
ngram_lm_scale_1.7_attention_scale_1.9 5.55 | |
ngram_lm_scale_1.0_attention_scale_0.7 5.56 | |
ngram_lm_scale_1.2_attention_scale_0.6 5.56 | |
ngram_lm_scale_1.2_attention_scale_1.0 5.56 | |
ngram_lm_scale_1.2_attention_scale_1.2 5.56 | |
ngram_lm_scale_1.3_attention_scale_1.0 5.56 | |
ngram_lm_scale_1.5_attention_scale_1.3 5.56 | |
ngram_lm_scale_1.5_attention_scale_1.9 5.56 | |
ngram_lm_scale_1.5_attention_scale_2.0 5.56 | |
ngram_lm_scale_1.7_attention_scale_2.2 5.56 | |
ngram_lm_scale_1.9_attention_scale_2.2 5.56 | |
ngram_lm_scale_1.9_attention_scale_2.3 5.56 | |
ngram_lm_scale_1.9_attention_scale_2.5 5.56 | |
ngram_lm_scale_2.0_attention_scale_2.5 5.56 | |
ngram_lm_scale_2.0_attention_scale_3.0 5.56 | |
ngram_lm_scale_2.2_attention_scale_3.0 5.56 | |
ngram_lm_scale_2.5_attention_scale_4.0 5.56 | |
ngram_lm_scale_3.0_attention_scale_5.0 5.56 | |
ngram_lm_scale_0.9_attention_scale_0.6 5.57 | |
ngram_lm_scale_1.0_attention_scale_0.9 5.57 | |
ngram_lm_scale_1.1_attention_scale_1.0 5.57 | |
ngram_lm_scale_1.1_attention_scale_1.1 5.57 | |
ngram_lm_scale_1.2_attention_scale_0.7 5.57 | |
ngram_lm_scale_1.2_attention_scale_0.9 5.57 | |
ngram_lm_scale_1.2_attention_scale_1.3 5.57 | |
ngram_lm_scale_1.2_attention_scale_1.5 5.57 | |
ngram_lm_scale_1.3_attention_scale_0.7 5.57 | |
ngram_lm_scale_1.3_attention_scale_1.3 5.57 | |
ngram_lm_scale_1.5_attention_scale_2.1 5.57 | |
ngram_lm_scale_1.5_attention_scale_2.2 5.57 | |
ngram_lm_scale_1.5_attention_scale_2.3 5.57 | |
ngram_lm_scale_1.5_attention_scale_2.5 5.57 | |
ngram_lm_scale_1.7_attention_scale_1.7 5.57 | |
ngram_lm_scale_1.7_attention_scale_2.3 5.57 | |
ngram_lm_scale_1.7_attention_scale_2.5 5.57 | |
ngram_lm_scale_1.7_attention_scale_3.0 5.57 | |
ngram_lm_scale_1.9_attention_scale_2.0 5.57 | |
ngram_lm_scale_1.9_attention_scale_2.1 5.57 | |
ngram_lm_scale_1.9_attention_scale_3.0 5.57 | |
ngram_lm_scale_2.0_attention_scale_2.3 5.57 | |
ngram_lm_scale_2.0_attention_scale_4.0 5.57 | |
ngram_lm_scale_2.1_attention_scale_3.0 5.57 | |
ngram_lm_scale_2.1_attention_scale_4.0 5.57 | |
ngram_lm_scale_2.3_attention_scale_3.0 5.57 | |
ngram_lm_scale_0.9_attention_scale_0.7 5.58 | |
ngram_lm_scale_1.0_attention_scale_1.0 5.58 | |
ngram_lm_scale_1.0_attention_scale_1.1 5.58 | |
ngram_lm_scale_1.1_attention_scale_0.5 5.58 | |
ngram_lm_scale_1.1_attention_scale_0.6 5.58 | |
ngram_lm_scale_1.1_attention_scale_1.2 5.58 | |
ngram_lm_scale_1.1_attention_scale_1.5 5.58 | |
ngram_lm_scale_1.3_attention_scale_1.5 5.58 | |
ngram_lm_scale_1.3_attention_scale_1.7 5.58 | |
ngram_lm_scale_1.3_attention_scale_1.9 5.58 | |
ngram_lm_scale_1.3_attention_scale_2.0 5.58 | |
ngram_lm_scale_1.3_attention_scale_2.1 5.58 | |
ngram_lm_scale_1.3_attention_scale_2.2 5.58 | |
ngram_lm_scale_2.0_attention_scale_2.2 5.58 | |
ngram_lm_scale_2.2_attention_scale_4.0 5.58 | |
ngram_lm_scale_2.3_attention_scale_4.0 5.58 | |
ngram_lm_scale_0.9_attention_scale_0.9 5.59 | |
ngram_lm_scale_1.0_attention_scale_1.2 5.59 | |
ngram_lm_scale_1.1_attention_scale_0.7 5.59 | |
ngram_lm_scale_1.1_attention_scale_1.3 5.59 | |
ngram_lm_scale_1.2_attention_scale_1.7 5.59 | |
ngram_lm_scale_1.2_attention_scale_1.9 5.59 | |
ngram_lm_scale_1.2_attention_scale_2.1 5.59 | |
ngram_lm_scale_1.3_attention_scale_2.3 5.59 | |
ngram_lm_scale_1.5_attention_scale_1.0 5.59 | |
ngram_lm_scale_1.5_attention_scale_1.1 5.59 | |
ngram_lm_scale_1.5_attention_scale_1.2 5.59 | |
ngram_lm_scale_1.7_attention_scale_1.5 5.59 | |
ngram_lm_scale_1.9_attention_scale_1.9 5.59 | |
ngram_lm_scale_1.9_attention_scale_4.0 5.59 | |
ngram_lm_scale_2.0_attention_scale_2.1 5.59 | |
ngram_lm_scale_2.1_attention_scale_2.3 5.59 | |
ngram_lm_scale_2.1_attention_scale_2.5 5.59 | |
ngram_lm_scale_2.5_attention_scale_5.0 5.59 | |
ngram_lm_scale_0.9_attention_scale_1.0 5.6 | |
ngram_lm_scale_1.0_attention_scale_0.6 5.6 | |
ngram_lm_scale_1.0_attention_scale_1.3 5.6 | |
ngram_lm_scale_1.1_attention_scale_1.7 5.6 | |
ngram_lm_scale_1.1_attention_scale_1.9 5.6 | |
ngram_lm_scale_1.2_attention_scale_2.0 5.6 | |
ngram_lm_scale_1.7_attention_scale_1.3 5.6 | |
ngram_lm_scale_2.0_attention_scale_2.0 5.6 | |
ngram_lm_scale_2.1_attention_scale_2.2 5.6 | |
ngram_lm_scale_2.2_attention_scale_5.0 5.6 | |
ngram_lm_scale_2.3_attention_scale_2.5 5.6 | |
ngram_lm_scale_2.3_attention_scale_5.0 5.6 | |
ngram_lm_scale_3.0_attention_scale_4.0 5.6 | |
ngram_lm_scale_0.9_attention_scale_0.5 5.61 | |
ngram_lm_scale_1.0_attention_scale_0.5 5.61 | |
ngram_lm_scale_1.0_attention_scale_1.5 5.61 | |
ngram_lm_scale_1.1_attention_scale_2.0 5.61 | |
ngram_lm_scale_1.2_attention_scale_0.5 5.61 | |
ngram_lm_scale_1.2_attention_scale_2.2 5.61 | |
ngram_lm_scale_1.3_attention_scale_2.5 5.61 | |
ngram_lm_scale_1.5_attention_scale_0.9 5.61 | |
ngram_lm_scale_1.5_attention_scale_3.0 5.61 | |
ngram_lm_scale_1.7_attention_scale_4.0 5.61 | |
ngram_lm_scale_1.9_attention_scale_1.7 5.61 | |
ngram_lm_scale_2.0_attention_scale_1.7 5.61 | |
ngram_lm_scale_2.0_attention_scale_1.9 5.61 | |
ngram_lm_scale_2.0_attention_scale_5.0 5.61 | |
ngram_lm_scale_2.1_attention_scale_5.0 5.61 | |
ngram_lm_scale_2.2_attention_scale_2.5 5.61 | |
ngram_lm_scale_2.5_attention_scale_3.0 5.61 | |
ngram_lm_scale_0.9_attention_scale_1.1 5.62 | |
ngram_lm_scale_1.0_attention_scale_1.7 5.62 | |
ngram_lm_scale_1.1_attention_scale_2.1 5.62 | |
ngram_lm_scale_1.2_attention_scale_2.3 5.62 | |
ngram_lm_scale_1.7_attention_scale_1.2 5.62 | |
ngram_lm_scale_1.9_attention_scale_1.5 5.62 | |
ngram_lm_scale_2.1_attention_scale_1.9 5.62 | |
ngram_lm_scale_2.1_attention_scale_2.0 5.62 | |
ngram_lm_scale_2.1_attention_scale_2.1 5.62 | |
ngram_lm_scale_2.2_attention_scale_2.2 5.62 | |
ngram_lm_scale_2.2_attention_scale_2.3 5.62 | |
ngram_lm_scale_0.7_attention_scale_0.7 5.63 | |
ngram_lm_scale_0.9_attention_scale_0.3 5.63 | |
ngram_lm_scale_0.9_attention_scale_1.2 5.63 | |
ngram_lm_scale_0.9_attention_scale_1.3 5.63 | |
ngram_lm_scale_1.0_attention_scale_0.3 5.63 | |
ngram_lm_scale_1.0_attention_scale_1.9 5.63 | |
ngram_lm_scale_1.1_attention_scale_2.2 5.63 | |
ngram_lm_scale_1.3_attention_scale_0.6 5.63 | |
ngram_lm_scale_1.9_attention_scale_5.0 5.63 | |
ngram_lm_scale_2.2_attention_scale_2.0 5.63 | |
ngram_lm_scale_2.2_attention_scale_2.1 5.63 | |
ngram_lm_scale_2.3_attention_scale_2.1 5.63 | |
ngram_lm_scale_2.3_attention_scale_2.3 5.63 | |
ngram_lm_scale_0.7_attention_scale_0.3 5.64 | |
ngram_lm_scale_0.7_attention_scale_0.5 5.64 | |
ngram_lm_scale_0.7_attention_scale_0.6 5.64 | |
ngram_lm_scale_0.7_attention_scale_0.9 5.64 | |
ngram_lm_scale_0.7_attention_scale_1.0 5.64 | |
ngram_lm_scale_0.9_attention_scale_1.5 5.64 | |
ngram_lm_scale_1.0_attention_scale_2.0 5.64 | |
ngram_lm_scale_1.1_attention_scale_2.3 5.64 | |
ngram_lm_scale_1.2_attention_scale_2.5 5.64 | |
ngram_lm_scale_1.5_attention_scale_5.0 5.64 | |
ngram_lm_scale_2.2_attention_scale_1.9 5.64 | |
ngram_lm_scale_2.3_attention_scale_2.2 5.64 | |
ngram_lm_scale_0.7_attention_scale_1.1 5.65 | |
ngram_lm_scale_0.9_attention_scale_1.7 5.65 | |
ngram_lm_scale_0.9_attention_scale_1.9 5.65 | |
ngram_lm_scale_1.0_attention_scale_2.1 5.65 | |
ngram_lm_scale_1.0_attention_scale_2.2 5.65 | |
ngram_lm_scale_1.0_attention_scale_2.3 5.65 | |
ngram_lm_scale_1.1_attention_scale_2.5 5.65 | |
ngram_lm_scale_1.3_attention_scale_3.0 5.65 | |
ngram_lm_scale_1.7_attention_scale_1.1 5.65 | |
ngram_lm_scale_1.7_attention_scale_5.0 5.65 | |
ngram_lm_scale_2.5_attention_scale_2.5 5.65 | |
ngram_lm_scale_0.6_attention_scale_0.5 5.66 | |
ngram_lm_scale_0.6_attention_scale_0.6 5.66 | |
ngram_lm_scale_0.6_attention_scale_0.9 5.66 | |
ngram_lm_scale_0.7_attention_scale_1.2 5.66 | |
ngram_lm_scale_0.9_attention_scale_2.3 5.66 | |
ngram_lm_scale_1.0_attention_scale_2.5 5.66 | |
ngram_lm_scale_1.2_attention_scale_3.0 5.66 | |
ngram_lm_scale_1.5_attention_scale_4.0 5.66 | |
ngram_lm_scale_2.3_attention_scale_2.0 5.66 | |
ngram_lm_scale_0.5_attention_scale_0.6 5.67 | |
ngram_lm_scale_0.5_attention_scale_0.7 5.67 | |
ngram_lm_scale_0.5_attention_scale_0.9 5.67 | |
ngram_lm_scale_0.6_attention_scale_0.7 5.67 | |
ngram_lm_scale_0.6_attention_scale_1.0 5.67 | |
ngram_lm_scale_0.6_attention_scale_1.1 5.67 | |
ngram_lm_scale_0.7_attention_scale_1.3 5.67 | |
ngram_lm_scale_0.9_attention_scale_2.0 5.67 | |
ngram_lm_scale_0.9_attention_scale_2.1 5.67 | |
ngram_lm_scale_0.9_attention_scale_2.2 5.67 | |
ngram_lm_scale_0.9_attention_scale_2.5 5.67 | |
ngram_lm_scale_1.1_attention_scale_3.0 5.67 | |
ngram_lm_scale_1.3_attention_scale_4.0 5.67 | |
ngram_lm_scale_2.0_attention_scale_1.5 5.67 | |
ngram_lm_scale_2.1_attention_scale_1.7 5.67 | |
ngram_lm_scale_2.5_attention_scale_2.3 5.67 | |
ngram_lm_scale_4.0_attention_scale_5.0 5.67 | |
ngram_lm_scale_0.5_attention_scale_1.0 5.68 | |
ngram_lm_scale_0.6_attention_scale_0.3 5.68 | |
ngram_lm_scale_1.0_attention_scale_3.0 5.68 | |
ngram_lm_scale_1.2_attention_scale_4.0 5.68 | |
ngram_lm_scale_2.3_attention_scale_1.9 5.68 | |
ngram_lm_scale_2.5_attention_scale_2.2 5.68 | |
ngram_lm_scale_3.0_attention_scale_3.0 5.68 | |
ngram_lm_scale_0.5_attention_scale_0.5 5.69 | |
ngram_lm_scale_0.5_attention_scale_1.1 5.69 | |
ngram_lm_scale_0.6_attention_scale_1.2 5.69 | |
ngram_lm_scale_1.1_attention_scale_0.3 5.69 | |
ngram_lm_scale_1.3_attention_scale_0.5 5.69 | |
ngram_lm_scale_1.7_attention_scale_1.0 5.69 | |
ngram_lm_scale_1.9_attention_scale_1.3 5.69 | |
ngram_lm_scale_0.5_attention_scale_1.2 5.7 | |
ngram_lm_scale_0.6_attention_scale_1.3 5.7 | |
ngram_lm_scale_0.6_attention_scale_1.5 5.7 | |
ngram_lm_scale_0.7_attention_scale_1.5 5.7 | |
ngram_lm_scale_0.7_attention_scale_1.7 5.7 | |
ngram_lm_scale_0.7_attention_scale_1.9 5.7 | |
ngram_lm_scale_0.7_attention_scale_2.0 5.7 | |
ngram_lm_scale_0.9_attention_scale_3.0 5.7 | |
ngram_lm_scale_2.1_attention_scale_1.5 5.7 | |
ngram_lm_scale_2.2_attention_scale_1.7 5.7 | |
ngram_lm_scale_0.5_attention_scale_1.3 5.71 | |
ngram_lm_scale_0.6_attention_scale_1.7 5.71 | |
ngram_lm_scale_0.7_attention_scale_2.1 5.71 | |
ngram_lm_scale_0.7_attention_scale_2.2 5.71 | |
ngram_lm_scale_1.1_attention_scale_4.0 5.71 | |
ngram_lm_scale_1.3_attention_scale_5.0 5.71 | |
ngram_lm_scale_2.5_attention_scale_2.1 5.71 | |
ngram_lm_scale_0.5_attention_scale_0.3 5.72 | |
ngram_lm_scale_0.6_attention_scale_1.9 5.72 | |
ngram_lm_scale_1.0_attention_scale_4.0 5.72 | |
ngram_lm_scale_1.5_attention_scale_0.7 5.72 | |
ngram_lm_scale_1.9_attention_scale_1.2 5.72 | |
ngram_lm_scale_2.3_attention_scale_1.7 5.72 | |
ngram_lm_scale_2.5_attention_scale_2.0 5.72 | |
ngram_lm_scale_0.5_attention_scale_1.5 5.73 | |
ngram_lm_scale_0.6_attention_scale_0.1 5.73 | |
ngram_lm_scale_0.7_attention_scale_2.3 5.73 | |
ngram_lm_scale_0.9_attention_scale_4.0 5.73 | |
ngram_lm_scale_1.2_attention_scale_5.0 5.73 | |
ngram_lm_scale_2.0_attention_scale_1.3 5.73 | |
ngram_lm_scale_0.5_attention_scale_1.7 5.74 | |
ngram_lm_scale_0.5_attention_scale_1.9 5.74 | |
ngram_lm_scale_0.5_attention_scale_2.0 5.74 | |
ngram_lm_scale_0.5_attention_scale_2.2 5.74 | |
ngram_lm_scale_0.5_attention_scale_2.3 5.74 | |
ngram_lm_scale_0.6_attention_scale_0.08 5.74 | |
ngram_lm_scale_0.6_attention_scale_2.0 5.74 | |
ngram_lm_scale_0.6_attention_scale_2.1 5.74 | |
ngram_lm_scale_0.6_attention_scale_2.2 5.74 | |
ngram_lm_scale_0.6_attention_scale_2.5 5.74 | |
ngram_lm_scale_0.7_attention_scale_0.1 5.74 | |
ngram_lm_scale_0.7_attention_scale_2.5 5.74 | |
ngram_lm_scale_0.7_attention_scale_3.0 5.74 | |
ngram_lm_scale_1.1_attention_scale_5.0 5.74 | |
ngram_lm_scale_1.7_attention_scale_0.9 5.74 | |
ngram_lm_scale_4.0_attention_scale_4.0 5.74 | |
ngram_lm_scale_0.3_attention_scale_1.1 5.75 | |
ngram_lm_scale_0.3_attention_scale_1.2 5.75 | |
ngram_lm_scale_0.5_attention_scale_2.1 5.75 | |
ngram_lm_scale_0.5_attention_scale_2.5 5.75 | |
ngram_lm_scale_0.6_attention_scale_0.05 5.75 | |
ngram_lm_scale_0.6_attention_scale_2.3 5.75 | |
ngram_lm_scale_0.6_attention_scale_3.0 5.75 | |
ngram_lm_scale_0.7_attention_scale_0.05 5.75 | |
ngram_lm_scale_0.7_attention_scale_0.08 5.75 | |
ngram_lm_scale_0.9_attention_scale_5.0 5.75 | |
ngram_lm_scale_1.0_attention_scale_5.0 5.75 | |
ngram_lm_scale_2.2_attention_scale_1.5 5.75 | |
ngram_lm_scale_2.5_attention_scale_1.9 5.75 | |
ngram_lm_scale_0.3_attention_scale_0.9 5.76 | |
ngram_lm_scale_0.3_attention_scale_1.0 5.76 | |
ngram_lm_scale_0.3_attention_scale_1.3 5.76 | |
ngram_lm_scale_0.5_attention_scale_0.1 5.76 | |
ngram_lm_scale_0.7_attention_scale_4.0 5.76 | |
ngram_lm_scale_2.0_attention_scale_1.2 5.76 | |
ngram_lm_scale_0.5_attention_scale_0.08 5.77 | |
ngram_lm_scale_0.5_attention_scale_3.0 5.77 | |
ngram_lm_scale_0.6_attention_scale_4.0 5.77 | |
ngram_lm_scale_0.7_attention_scale_5.0 5.77 | |
ngram_lm_scale_1.9_attention_scale_1.1 5.77 | |
ngram_lm_scale_3.0_attention_scale_2.5 5.77 | |
ngram_lm_scale_0.3_attention_scale_0.6 5.78 | |
ngram_lm_scale_0.3_attention_scale_0.7 5.78 | |
ngram_lm_scale_0.3_attention_scale_1.5 5.78 | |
ngram_lm_scale_0.5_attention_scale_0.01 5.78 | |
ngram_lm_scale_0.5_attention_scale_0.05 5.78 | |
ngram_lm_scale_0.6_attention_scale_0.01 5.78 | |
ngram_lm_scale_0.9_attention_scale_0.1 5.78 | |
ngram_lm_scale_2.1_attention_scale_1.3 5.78 | |
ngram_lm_scale_0.3_attention_scale_0.5 5.79 | |
ngram_lm_scale_0.3_attention_scale_1.7 5.79 | |
ngram_lm_scale_0.7_attention_scale_0.01 5.79 | |
ngram_lm_scale_0.3_attention_scale_2.0 5.8 | |
ngram_lm_scale_0.3_attention_scale_2.1 5.8 | |
ngram_lm_scale_0.3_attention_scale_2.2 5.8 | |
ngram_lm_scale_0.5_attention_scale_4.0 5.8 | |
ngram_lm_scale_0.6_attention_scale_5.0 5.8 | |
ngram_lm_scale_0.9_attention_scale_0.08 5.8 | |
ngram_lm_scale_1.2_attention_scale_0.3 5.8 | |
ngram_lm_scale_0.3_attention_scale_1.9 5.81 | |
ngram_lm_scale_0.3_attention_scale_2.3 5.81 | |
ngram_lm_scale_0.5_attention_scale_5.0 5.81 | |
ngram_lm_scale_1.5_attention_scale_0.6 5.81 | |
ngram_lm_scale_0.3_attention_scale_2.5 5.82 | |
ngram_lm_scale_2.3_attention_scale_1.5 5.82 | |
ngram_lm_scale_0.3_attention_scale_3.0 5.83 | |
ngram_lm_scale_0.3_attention_scale_4.0 5.83 | |
ngram_lm_scale_0.3_attention_scale_5.0 5.83 | |
ngram_lm_scale_1.0_attention_scale_0.1 5.83 | |
ngram_lm_scale_2.0_attention_scale_1.1 5.83 | |
ngram_lm_scale_2.1_attention_scale_1.2 5.83 | |
ngram_lm_scale_5.0_attention_scale_5.0 5.83 | |
ngram_lm_scale_0.08_attention_scale_1.3 5.84 | |
ngram_lm_scale_0.08_attention_scale_1.7 5.84 | |
ngram_lm_scale_0.1_attention_scale_1.3 5.84 | |
ngram_lm_scale_0.9_attention_scale_0.05 5.84 | |
ngram_lm_scale_1.9_attention_scale_1.0 5.84 | |
ngram_lm_scale_3.0_attention_scale_2.3 5.84 | |
ngram_lm_scale_0.08_attention_scale_1.2 5.85 | |
ngram_lm_scale_0.08_attention_scale_1.5 5.85 | |
ngram_lm_scale_0.08_attention_scale_1.9 5.85 | |
ngram_lm_scale_0.1_attention_scale_1.0 5.85 | |
ngram_lm_scale_0.1_attention_scale_1.1 5.85 | |
ngram_lm_scale_0.1_attention_scale_1.2 5.85 | |
ngram_lm_scale_0.1_attention_scale_1.5 5.85 | |
ngram_lm_scale_0.1_attention_scale_1.7 5.85 | |
ngram_lm_scale_0.1_attention_scale_1.9 5.85 | |
ngram_lm_scale_0.1_attention_scale_2.0 5.85 | |
ngram_lm_scale_0.1_attention_scale_2.1 5.85 | |
ngram_lm_scale_0.1_attention_scale_2.2 5.85 | |
ngram_lm_scale_0.3_attention_scale_0.3 5.85 | |
ngram_lm_scale_2.5_attention_scale_1.7 5.85 | |
ngram_lm_scale_0.05_attention_scale_1.3 5.86 | |
ngram_lm_scale_0.08_attention_scale_1.0 5.86 | |
ngram_lm_scale_0.08_attention_scale_2.0 5.86 | |
ngram_lm_scale_0.08_attention_scale_2.1 5.86 | |
ngram_lm_scale_0.08_attention_scale_2.2 5.86 | |
ngram_lm_scale_0.1_attention_scale_0.9 5.86 | |
ngram_lm_scale_0.1_attention_scale_2.3 5.86 | |
ngram_lm_scale_0.1_attention_scale_2.5 5.86 | |
ngram_lm_scale_1.0_attention_scale_0.08 5.86 | |
ngram_lm_scale_2.2_attention_scale_1.3 5.86 | |
ngram_lm_scale_0.05_attention_scale_1.5 5.87 | |
ngram_lm_scale_0.05_attention_scale_1.7 5.87 | |
ngram_lm_scale_0.05_attention_scale_1.9 5.87 | |
ngram_lm_scale_0.05_attention_scale_2.0 5.87 | |
ngram_lm_scale_0.05_attention_scale_2.5 5.87 | |
ngram_lm_scale_0.08_attention_scale_0.9 5.87 | |
ngram_lm_scale_0.08_attention_scale_1.1 5.87 | |
ngram_lm_scale_0.08_attention_scale_2.3 5.87 | |
ngram_lm_scale_0.08_attention_scale_2.5 5.87 | |
ngram_lm_scale_0.1_attention_scale_3.0 5.87 | |
ngram_lm_scale_0.9_attention_scale_0.01 5.87 | |
ngram_lm_scale_0.01_attention_scale_1.5 5.88 | |
ngram_lm_scale_0.01_attention_scale_1.7 5.88 | |
ngram_lm_scale_0.01_attention_scale_2.5 5.88 | |
ngram_lm_scale_0.01_attention_scale_3.0 5.88 | |
ngram_lm_scale_0.05_attention_scale_1.0 5.88 | |
ngram_lm_scale_0.05_attention_scale_1.1 5.88 | |
ngram_lm_scale_0.05_attention_scale_1.2 5.88 | |
ngram_lm_scale_0.05_attention_scale_2.1 5.88 | |
ngram_lm_scale_0.05_attention_scale_2.2 5.88 | |
ngram_lm_scale_0.05_attention_scale_2.3 5.88 | |
ngram_lm_scale_0.08_attention_scale_3.0 5.88 | |
ngram_lm_scale_0.3_attention_scale_0.1 5.88 | |
ngram_lm_scale_3.0_attention_scale_2.2 5.88 | |
ngram_lm_scale_0.01_attention_scale_1.9 5.89 | |
ngram_lm_scale_0.01_attention_scale_2.0 5.89 | |
ngram_lm_scale_0.01_attention_scale_2.1 5.89 | |
ngram_lm_scale_0.05_attention_scale_0.9 5.89 | |
ngram_lm_scale_0.05_attention_scale_3.0 5.89 | |
ngram_lm_scale_0.08_attention_scale_4.0 5.89 | |
ngram_lm_scale_0.1_attention_scale_0.7 5.89 | |
ngram_lm_scale_0.1_attention_scale_4.0 5.89 | |
ngram_lm_scale_0.1_attention_scale_5.0 5.89 | |
ngram_lm_scale_0.3_attention_scale_0.08 5.89 | |
ngram_lm_scale_0.01_attention_scale_1.3 5.9 | |
ngram_lm_scale_0.01_attention_scale_2.2 5.9 | |
ngram_lm_scale_0.01_attention_scale_2.3 5.9 | |
ngram_lm_scale_0.05_attention_scale_4.0 5.9 | |
ngram_lm_scale_0.05_attention_scale_5.0 5.9 | |
ngram_lm_scale_0.08_attention_scale_0.7 5.9 | |
ngram_lm_scale_0.08_attention_scale_5.0 5.9 | |
ngram_lm_scale_0.01_attention_scale_1.1 5.91 | |
ngram_lm_scale_0.01_attention_scale_1.2 5.91 | |
ngram_lm_scale_0.01_attention_scale_4.0 5.91 | |
ngram_lm_scale_0.01_attention_scale_5.0 5.91 | |
ngram_lm_scale_0.1_attention_scale_0.6 5.91 | |
ngram_lm_scale_0.3_attention_scale_0.05 5.91 | |
ngram_lm_scale_1.3_attention_scale_0.3 5.91 | |
ngram_lm_scale_1.5_attention_scale_0.5 5.91 | |
ngram_lm_scale_1.7_attention_scale_0.7 5.91 | |
ngram_lm_scale_1.9_attention_scale_0.9 5.91 | |
ngram_lm_scale_2.0_attention_scale_1.0 5.91 | |
ngram_lm_scale_2.1_attention_scale_1.1 5.91 | |
ngram_lm_scale_0.01_attention_scale_0.9 5.92 | |
ngram_lm_scale_0.01_attention_scale_1.0 5.92 | |
ngram_lm_scale_0.05_attention_scale_0.6 5.92 | |
ngram_lm_scale_0.05_attention_scale_0.7 5.92 | |
ngram_lm_scale_0.08_attention_scale_0.6 5.92 | |
ngram_lm_scale_0.1_attention_scale_0.5 5.92 | |
ngram_lm_scale_1.0_attention_scale_0.05 5.92 | |
ngram_lm_scale_0.01_attention_scale_0.7 5.94 | |
ngram_lm_scale_0.05_attention_scale_0.5 5.94 | |
ngram_lm_scale_0.08_attention_scale_0.5 5.94 | |
ngram_lm_scale_2.2_attention_scale_1.2 5.94 | |
ngram_lm_scale_2.3_attention_scale_1.3 5.95 | |
ngram_lm_scale_3.0_attention_scale_2.1 5.95 | |
ngram_lm_scale_0.01_attention_scale_0.6 5.96 | |
ngram_lm_scale_0.3_attention_scale_0.01 5.96 | |
ngram_lm_scale_1.1_attention_scale_0.1 5.97 | |
ngram_lm_scale_1.0_attention_scale_0.01 5.98 | |
ngram_lm_scale_2.5_attention_scale_1.5 5.98 | |
ngram_lm_scale_0.01_attention_scale_0.5 5.99 | |
ngram_lm_scale_0.08_attention_scale_0.3 5.99 | |
ngram_lm_scale_0.1_attention_scale_0.3 5.99 | |
ngram_lm_scale_3.0_attention_scale_2.0 6.0 | |
ngram_lm_scale_1.1_attention_scale_0.08 6.01 | |
ngram_lm_scale_1.7_attention_scale_0.6 6.01 | |
ngram_lm_scale_0.05_attention_scale_0.3 6.02 | |
ngram_lm_scale_2.1_attention_scale_1.0 6.02 | |
ngram_lm_scale_2.0_attention_scale_0.9 6.03 | |
ngram_lm_scale_2.2_attention_scale_1.1 6.03 | |
ngram_lm_scale_2.3_attention_scale_1.2 6.03 | |
ngram_lm_scale_0.01_attention_scale_0.3 6.04 | |
ngram_lm_scale_4.0_attention_scale_3.0 6.05 | |
ngram_lm_scale_3.0_attention_scale_1.9 6.07 | |
ngram_lm_scale_0.08_attention_scale_0.08 6.08 | |
ngram_lm_scale_0.08_attention_scale_0.1 6.08 | |
ngram_lm_scale_0.1_attention_scale_0.08 6.08 | |
ngram_lm_scale_0.1_attention_scale_0.1 6.08 | |
ngram_lm_scale_1.1_attention_scale_0.05 6.08 | |
ngram_lm_scale_5.0_attention_scale_4.0 6.08 | |
ngram_lm_scale_0.1_attention_scale_0.05 6.09 | |
ngram_lm_scale_0.05_attention_scale_0.1 6.11 | |
ngram_lm_scale_0.08_attention_scale_0.05 6.11 | |
ngram_lm_scale_0.05_attention_scale_0.08 6.12 | |
ngram_lm_scale_0.1_attention_scale_0.01 6.12 | |
ngram_lm_scale_2.1_attention_scale_0.9 6.12 | |
ngram_lm_scale_2.2_attention_scale_1.0 6.12 | |
ngram_lm_scale_2.5_attention_scale_1.3 6.12 | |
ngram_lm_scale_0.05_attention_scale_0.05 6.13 | |
ngram_lm_scale_0.08_attention_scale_0.01 6.13 | |
ngram_lm_scale_1.2_attention_scale_0.1 6.13 | |
ngram_lm_scale_2.3_attention_scale_1.1 6.13 | |
ngram_lm_scale_0.01_attention_scale_0.1 6.14 | |
ngram_lm_scale_1.2_attention_scale_0.08 6.15 | |
ngram_lm_scale_1.9_attention_scale_0.7 6.15 | |
ngram_lm_scale_1.1_attention_scale_0.01 6.16 | |
ngram_lm_scale_0.01_attention_scale_0.08 6.17 | |
ngram_lm_scale_1.7_attention_scale_0.5 6.17 | |
ngram_lm_scale_0.05_attention_scale_0.01 6.18 | |
ngram_lm_scale_1.5_attention_scale_0.3 6.2 | |
ngram_lm_scale_0.01_attention_scale_0.05 6.21 | |
ngram_lm_scale_1.2_attention_scale_0.05 6.21 | |
ngram_lm_scale_2.2_attention_scale_0.9 6.24 | |
ngram_lm_scale_0.01_attention_scale_0.01 6.25 | |
ngram_lm_scale_1.3_attention_scale_0.1 6.25 | |
ngram_lm_scale_2.3_attention_scale_1.0 6.25 | |
ngram_lm_scale_3.0_attention_scale_1.7 6.25 | |
ngram_lm_scale_2.0_attention_scale_0.7 6.26 | |
ngram_lm_scale_1.9_attention_scale_0.6 6.27 | |
ngram_lm_scale_2.5_attention_scale_1.2 6.27 | |
ngram_lm_scale_1.2_attention_scale_0.01 6.28 | |
ngram_lm_scale_1.3_attention_scale_0.08 6.29 | |
ngram_lm_scale_2.5_attention_scale_1.1 6.35 | |
ngram_lm_scale_2.3_attention_scale_0.9 6.36 | |
ngram_lm_scale_4.0_attention_scale_2.5 6.36 | |
ngram_lm_scale_1.3_attention_scale_0.05 6.38 | |
ngram_lm_scale_2.0_attention_scale_0.6 6.39 | |
ngram_lm_scale_2.1_attention_scale_0.7 6.39 | |
ngram_lm_scale_3.0_attention_scale_1.5 6.4 | |
ngram_lm_scale_1.9_attention_scale_0.5 6.42 | |
ngram_lm_scale_2.5_attention_scale_1.0 6.44 | |
ngram_lm_scale_1.3_attention_scale_0.01 6.45 | |
ngram_lm_scale_4.0_attention_scale_2.3 6.49 | |
ngram_lm_scale_1.7_attention_scale_0.3 6.5 | |
ngram_lm_scale_2.2_attention_scale_0.7 6.5 | |
ngram_lm_scale_2.1_attention_scale_0.6 6.51 | |
ngram_lm_scale_2.0_attention_scale_0.5 6.54 | |
ngram_lm_scale_4.0_attention_scale_2.2 6.54 | |
ngram_lm_scale_2.5_attention_scale_0.9 6.56 | |
ngram_lm_scale_3.0_attention_scale_1.3 6.59 | |
ngram_lm_scale_5.0_attention_scale_3.0 6.59 | |
ngram_lm_scale_1.5_attention_scale_0.1 6.62 | |
ngram_lm_scale_4.0_attention_scale_2.1 6.63 | |
ngram_lm_scale_2.3_attention_scale_0.7 6.64 | |
ngram_lm_scale_1.5_attention_scale_0.08 6.67 | |
ngram_lm_scale_2.2_attention_scale_0.6 6.68 | |
ngram_lm_scale_2.1_attention_scale_0.5 6.7 | |
ngram_lm_scale_3.0_attention_scale_1.2 6.72 | |
ngram_lm_scale_4.0_attention_scale_2.0 6.73 | |
ngram_lm_scale_1.5_attention_scale_0.05 6.75 | |
ngram_lm_scale_2.3_attention_scale_0.6 6.79 | |
ngram_lm_scale_4.0_attention_scale_1.9 6.82 | |
ngram_lm_scale_1.9_attention_scale_0.3 6.83 | |
ngram_lm_scale_2.2_attention_scale_0.5 6.83 | |
ngram_lm_scale_1.5_attention_scale_0.01 6.84 | |
ngram_lm_scale_3.0_attention_scale_1.1 6.84 | |
ngram_lm_scale_2.5_attention_scale_0.7 6.86 | |
ngram_lm_scale_5.0_attention_scale_2.5 6.9 | |
ngram_lm_scale_3.0_attention_scale_1.0 6.92 | |
ngram_lm_scale_1.7_attention_scale_0.1 6.93 | |
ngram_lm_scale_2.0_attention_scale_0.3 6.95 | |
ngram_lm_scale_4.0_attention_scale_1.7 6.96 | |
ngram_lm_scale_1.7_attention_scale_0.08 6.98 | |
ngram_lm_scale_2.3_attention_scale_0.5 6.98 | |
ngram_lm_scale_5.0_attention_scale_2.3 7.02 | |
ngram_lm_scale_2.5_attention_scale_0.6 7.04 | |
ngram_lm_scale_1.7_attention_scale_0.05 7.06 | |
ngram_lm_scale_3.0_attention_scale_0.9 7.07 | |
ngram_lm_scale_5.0_attention_scale_2.2 7.09 | |
ngram_lm_scale_2.1_attention_scale_0.3 7.1 | |
ngram_lm_scale_4.0_attention_scale_1.5 7.14 | |
ngram_lm_scale_1.7_attention_scale_0.01 7.15 | |
ngram_lm_scale_5.0_attention_scale_2.1 7.18 | |
ngram_lm_scale_2.5_attention_scale_0.5 7.23 | |
ngram_lm_scale_2.2_attention_scale_0.3 7.24 | |
ngram_lm_scale_5.0_attention_scale_2.0 7.25 | |
ngram_lm_scale_1.9_attention_scale_0.1 7.26 | |
ngram_lm_scale_1.9_attention_scale_0.08 7.31 | |
ngram_lm_scale_4.0_attention_scale_1.3 7.34 | |
ngram_lm_scale_2.3_attention_scale_0.3 7.35 | |
ngram_lm_scale_5.0_attention_scale_1.9 7.35 | |
ngram_lm_scale_3.0_attention_scale_0.7 7.36 | |
ngram_lm_scale_1.9_attention_scale_0.05 7.38 | |
ngram_lm_scale_2.0_attention_scale_0.1 7.39 | |
ngram_lm_scale_2.0_attention_scale_0.08 7.42 | |
ngram_lm_scale_4.0_attention_scale_1.2 7.46 | |
ngram_lm_scale_1.9_attention_scale_0.01 7.49 | |
ngram_lm_scale_2.0_attention_scale_0.05 7.49 | |
ngram_lm_scale_2.1_attention_scale_0.1 7.51 | |
ngram_lm_scale_3.0_attention_scale_0.6 7.52 | |
ngram_lm_scale_5.0_attention_scale_1.7 7.55 | |
ngram_lm_scale_2.1_attention_scale_0.08 7.56 | |
ngram_lm_scale_2.5_attention_scale_0.3 7.56 | |
ngram_lm_scale_4.0_attention_scale_1.1 7.57 | |
ngram_lm_scale_2.0_attention_scale_0.01 7.61 | |
ngram_lm_scale_2.1_attention_scale_0.05 7.62 | |
ngram_lm_scale_2.2_attention_scale_0.1 7.62 | |
ngram_lm_scale_3.0_attention_scale_0.5 7.65 | |
ngram_lm_scale_2.2_attention_scale_0.08 7.66 | |
ngram_lm_scale_4.0_attention_scale_1.0 7.69 | |
ngram_lm_scale_5.0_attention_scale_1.5 7.7 | |
ngram_lm_scale_2.3_attention_scale_0.1 7.71 | |
ngram_lm_scale_2.1_attention_scale_0.01 7.72 | |
ngram_lm_scale_2.2_attention_scale_0.05 7.72 | |
ngram_lm_scale_2.3_attention_scale_0.08 7.75 | |
ngram_lm_scale_2.2_attention_scale_0.01 7.79 | |
ngram_lm_scale_4.0_attention_scale_0.9 7.79 | |
ngram_lm_scale_2.3_attention_scale_0.05 7.81 | |
ngram_lm_scale_5.0_attention_scale_1.3 7.89 | |
ngram_lm_scale_2.3_attention_scale_0.01 7.92 | |
ngram_lm_scale_2.5_attention_scale_0.1 7.92 | |
ngram_lm_scale_2.5_attention_scale_0.08 7.96 | |
ngram_lm_scale_3.0_attention_scale_0.3 7.97 | |
ngram_lm_scale_5.0_attention_scale_1.2 7.98 | |
ngram_lm_scale_2.5_attention_scale_0.05 8.01 | |
ngram_lm_scale_4.0_attention_scale_0.7 8.04 | |
ngram_lm_scale_5.0_attention_scale_1.1 8.06 | |
ngram_lm_scale_2.5_attention_scale_0.01 8.08 | |
ngram_lm_scale_4.0_attention_scale_0.6 8.14 | |
ngram_lm_scale_5.0_attention_scale_1.0 8.17 | |
ngram_lm_scale_5.0_attention_scale_0.9 8.27 | |
ngram_lm_scale_4.0_attention_scale_0.5 8.28 | |
ngram_lm_scale_3.0_attention_scale_0.1 8.3 | |
ngram_lm_scale_3.0_attention_scale_0.08 8.34 | |
ngram_lm_scale_3.0_attention_scale_0.05 8.38 | |
ngram_lm_scale_5.0_attention_scale_0.7 8.43 | |
ngram_lm_scale_3.0_attention_scale_0.01 8.46 | |
ngram_lm_scale_4.0_attention_scale_0.3 8.48 | |
ngram_lm_scale_5.0_attention_scale_0.6 8.51 | |
ngram_lm_scale_5.0_attention_scale_0.5 8.58 | |
ngram_lm_scale_4.0_attention_scale_0.1 8.68 | |
ngram_lm_scale_4.0_attention_scale_0.08 8.71 | |
ngram_lm_scale_4.0_attention_scale_0.05 8.73 | |
ngram_lm_scale_5.0_attention_scale_0.3 8.75 | |
ngram_lm_scale_4.0_attention_scale_0.01 8.8 | |
ngram_lm_scale_5.0_attention_scale_0.1 8.97 | |
ngram_lm_scale_5.0_attention_scale_0.08 8.98 | |
ngram_lm_scale_5.0_attention_scale_0.05 9.0 | |
ngram_lm_scale_5.0_attention_scale_0.01 9.03 | |
2022-07-20 21:46:22,023 INFO [decode.py:868] Done! | |