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--nohelp |
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--nohelpfull |
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--nohelpshort |
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--nohelpxml |
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--noonly_check_args |
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--nopdb |
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--nopdb_post_mortem |
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--norun_with_pdb |
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--norun_with_profiling |
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--use_cprofile_for_profiling |
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--noalsologtostderr |
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--log_dir= |
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--logger_levels= |
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--nologtostderr |
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--showprefixforinfo |
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--stderrthreshold=fatal |
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--verbosity=0 |
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--test_random_seed=301 |
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--test_randomize_ordering_seed= |
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--test_srcdir= |
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--test_tmpdir=/tmp/absl_testing |
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--xml_output_file= |
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--alphabet_config_path=data/alphabet.txt |
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--audio_sample_rate=16000 |
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--augment=pitch[pitch=1~0.1] |
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--augment=tempo[factor=1~0.1] |
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--augment=resample[p=0.2,rate=12000~4000] |
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--augment=codec[p=0.2,bitrate=32000~16000] |
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--augment=reverb[p=0.2,decay=0.7~0.15,delay=10~8] |
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--augment=volume[p=0.2,dbfs=-10~10] |
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--augment=frequency_mask[p=0.1,n=1:3,size=1:5] |
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--augment=time_mask[p=0.1,domain=signal,n=3:10~2,size=50:100~40] |
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--automatic_mixed_precision |
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--beam_width=1024 |
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--beta1=0.9 |
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--beta2=0.999 |
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--nobytes_output_mode |
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--cache_for_epochs=10 |
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--checkpoint_dir=/home/machinel/Desktop/Mohd/logs/checkpoints_train_all_2024_no_numbers_5_platue |
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--checkpoint_secs=600 |
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--cutoff_prob=1.0 |
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--cutoff_top_n=300 |
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--dev_batch_size=16 |
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--dev_files=/home/machinel/Desktop/Mohd/dev_chunks.csv |
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--drop_source_layers=0 |
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--dropout_rate=0.4 |
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--dropout_rate2=0.4 |
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--dropout_rate3=0.4 |
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--dropout_rate4=0.0 |
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--dropout_rate5=0.0 |
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--dropout_rate6=0.4 |
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--early_stop |
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--epochs=200 |
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--epsilon=1e-08 |
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--es_epochs=10 |
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--es_min_delta=0.05 |
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--export_author_id=author |
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--export_batch_size=1 |
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--export_beam_width=500 |
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--export_contact_info=<public contact information of the author. Can be an email address, or a link to a contact form, issue tracker, or discussion forum. Must provide a way to reach the model authors> |
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--export_description=<Freeform description of the model being exported. Markdown accepted. You can also leave this flag unchanged and edit the generated .md file directly. Useful things to describe are demographic and acoustic characteristics of the data used to train the model, any architectural changes, names of public datasets that were used when applicable, hyperparameters used for training, evaluation results on standard benchmark datasets, etc.> |
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--export_dir=/home/machinel/Desktop/Mohd/logs/output_models_train_all_2024_no_numberss_5_platue |
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--export_file_name=output_graph |
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--export_language=<language the model was trained on - IETF BCP 47 language tag including at least language, script and region subtags. E.g. "en-Latn-UK" or "de-Latn-DE" or "cmn-Hans-CN". Include as much info as you can without loss of precision. For example, if a model is trained on Scottish English, include the variant subtag: "en-Latn-GB-Scotland".> |
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--export_license=<SPDX identifier of the license of the exported model. See https://spdx.org/licenses/. If the license does not have an SPDX identifier, use the license name.> |
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--export_max_ds_version=<maximum DeepSpeech version (inclusive) the exported model is compatible with> |
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--export_min_ds_version=<minimum DeepSpeech version (inclusive) the exported model is compatible with> |
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--export_model_name=model |
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--export_model_version=0.0.1 |
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--noexport_tflite |
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--noexport_zip |
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--feature_cache= |
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--feature_win_len=32 |
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--feature_win_step=20 |
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--noforce_initialize_learning_rate |
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--inter_op_parallelism_threads=0 |
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--intra_op_parallelism_threads=0 |
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--nolayer_norm |
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--learning_rate=3e-05 |
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--limit_dev=0 |
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--limit_test=0 |
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--limit_train=0 |
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--lm_alpha=0.5982427068031976 |
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--lm_alpha_max=5.0 |
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--lm_beta=4.8959982942120135 |
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--lm_beta_max=5.0 |
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--load_checkpoint_dir=/home/machinel/Desktop/Mohd/logs/checkpoints_train_all_2024_no_numbers_5_platue |
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--noload_cudnn |
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--load_evaluate=auto |
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--load_train=auto |
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--log_level=1 |
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--nolog_placement |
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--max_to_keep=5 |
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--metrics_files= |
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--n_hidden=2048 |
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--n_steps=16 |
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--n_trials=2400 |
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--one_shot_infer= |
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--plateau_epochs=5 |
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--plateau_reduction=0.1 |
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--random_seed=4568 |
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--read_buffer=1048576 |
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--reduce_lr_on_plateau |
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--relu_clip=20.0 |
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--noremove_export |
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--report_count=5 |
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--noreverse_dev |
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--noreverse_test |
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--noreverse_train |
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--save_checkpoint_dir=/home/machinel/Desktop/Mohd/logs/checkpoints_train_all_2024_no_numbers_5_platue |
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--scorer=/home/machinel/Desktop/Mohd/lm/masc.scorer |
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--scorer_path=/home/machinel/Desktop/Mohd/lm/masc.scorer |
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--show_progressbar |
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--summary_dir=/home/machinel/Desktop/Mohd/logs/summary_train_all_2024_no_numberss_5_platue |
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--test_batch_size=16 |
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--test_files=/home/machinel/Desktop/Mohd/dev_chunks.csv |
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--test_output_file= |
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--train_batch_size=32 |
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--train_cudnn |
|
--train_files=/home/machinel/Desktop/Mohd/chunks_filtered.csv |
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--use_allow_growth |
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--noop_conversion_fallback_to_while_loop |
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