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| "output_path": "/kaggle/working/train_output", | |
| "logger_uri": null, | |
| "run_name": "glow-tts-finetune", | |
| "project_name": null, | |
| "run_description": "\ud83d\udc38Coqui trainer run.", | |
| "print_step": 25, | |
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| 0.998 | |
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| "num_mels": 80, | |
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| "do_amp_to_db_mel": true, | |
| "pitch_fmax": 640.0, | |
| "pitch_fmin": 1.0, | |
| "signal_norm": true, | |
| "min_level_db": -100, | |
| "symmetric_norm": true, | |
| "max_norm": 4.0, | |
| "clip_norm": true, | |
| "stats_path": null | |
| }, | |
| "use_phonemes": true, | |
| "phonemizer": "espeak", | |
| "phoneme_language": "fa", | |
| "compute_input_seq_cache": false, | |
| "text_cleaner": "basic_cleaners", | |
| "enable_eos_bos_chars": false, | |
| "test_sentences_file": "", | |
| "phoneme_cache_path": "/kaggle/working/train_output/phoneme_cache", | |
| "characters": { | |
| "characters_class": "TTS.tts.utils.text.characters.IPAPhonemes", | |
| "vocab_dict": null, | |
| "pad": "<PAD>", | |
| "eos": "<EOS>", | |
| "bos": "<BOS>", | |
| "blank": "<BLNK>", | |
| "characters": "\u02c8\u02cc\u02d0\u02d1pbtd\u0288\u0256c\u025fk\u0261q\u0262\u0294\u0274\u014b\u0272\u0273n\u0271m\u0299r\u0280\u2c71\u027e\u027d\u0278\u03b2fv\u03b8\u00f0sz\u0283\u0292\u0282\u0290\u00e7\u029dx\u0263\u03c7\u0281\u0127\u0295h\u0266\u026c\u026e\u028b\u0279\u027bj\u0270l\u026d\u028e\u029faegiouwy\u026a\u028a\u0329\u00e6\u0251\u0254\u0259\u025a\u025b\u025d\u0268\u0303\u0289\u028c\u028d0123456789\"#$%*+/=ABCDEFGHIJKLMNOPRSTUVWXYZ[]^_{}", | |
| "punctuations": "!(),-.:;? \u0320\u060c\u061b\u061f\u200c<>", | |
| "phonemes": "\u02c8\u02cc\u02d0\u02d1pbtd\u0288\u0256c\u025fk\u0261q\u0262\u0294\u0274\u014b\u0272\u0273n\u0271m\u0299r\u0280\u2c71\u027e\u027d\u0278\u03b2fv\u03b8\u00f0sz\u0283\u0292\u0282\u0290\u00e7\u029dx\u0263\u03c7\u0281\u0127\u0295h\u0266\u026c\u026e\u028b\u0279\u027bj\u0270l\u026d\u028e\u029faegiouwy\u026a\u028a\u0329\u00e6\u0251\u0254\u0259\u025a\u025b\u025d\u0268\u0303\u0289\u028c\u028d0123456789\"#$%*+/=ABCDEFGHIJKLMNOPRSTUVWXYZ[]^_{}", | |
| "is_unique": true, | |
| "is_sorted": true | |
| }, | |
| "add_blank": false, | |
| "batch_group_size": 0, | |
| "loss_masking": null, | |
| "min_audio_len": 1, | |
| "max_audio_len": Infinity, | |
| "min_text_len": 1, | |
| "max_text_len": Infinity, | |
| "compute_f0": false, | |
| "compute_linear_spec": false, | |
| "precompute_num_workers": 0, | |
| "start_by_longest": false, | |
| "shuffle": false, | |
| "drop_last": false, | |
| "datasets": [ | |
| { | |
| "formatter": "mozilla", | |
| "dataset_name": "", | |
| "path": "/kaggle/input/persian-tts-dataset", | |
| "meta_file_train": "metadata.csv", | |
| "ignored_speakers": null, | |
| "language": "", | |
| "meta_file_val": "", | |
| "meta_file_attn_mask": "" | |
| } | |
| ], | |
| "test_sentences": [ | |
| "\u0633\u0644\u0637\u0627\u0646 \u0645\u062d\u0645\u0648\u062f \u062f\u0631 \u0632\u0645\u0633\u062a\u0627\u0646\u06cc \u0633\u062e\u062a \u0628\u0647 \u0637\u0644\u062e\u06a9 \u06af\u0641\u062a \u06a9\u0647: \u0628\u0627 \u0627\u06cc\u0646 \u062c\u0627\u0645\u0647 \u06cc \u06cc\u06a9 \u0644\u0627 \u062f\u0631 \u0627\u06cc\u0646 \u0633\u0631\u0645\u0627 \u0686\u0647 \u0645\u06cc \u06a9\u0646\u06cc ", | |
| "\u0645\u0631\u062f\u06cc \u0646\u0632\u062f \u0628\u0642\u0627\u0644\u06cc \u0622\u0645\u062f \u0648 \u06af\u0641\u062a \u067e\u06cc\u0627\u0632 \u0647\u0645 \u062f\u0647 \u062a\u0627 \u062f\u0647\u0627\u0646 \u0628\u062f\u0627\u0646 \u062e\u0648 \u0634\u0628\u0648\u06cc \u0633\u0627\u0632\u0645.", | |
| "\u0627\u0632 \u0645\u0627\u0644 \u062e\u0648\u062f \u067e\u0627\u0631\u0647 \u0627\u06cc \u06af\u0648\u0634\u062a \u0628\u0633\u062a\u0627\u0646 \u0648 \u0632\u06cc\u0631\u0647 \u0628\u0627\u06cc\u06cc \u0645\u0639\u0637\u0651\u0631 \u0628\u0633\u0627\u0632", | |
| "\u06cc\u06a9 \u0628\u0627\u0631 \u0647\u0645 \u0627\u0632 \u062c\u0647\u0646\u0645 \u0628\u06af\u0648\u06cc\u06cc\u062f.", | |
| "\u06cc\u06a9\u06cc \u0627\u0633\u0628\u06cc \u0628\u0647 \u0639\u0627\u0631\u06cc\u062a \u062e\u0648\u0627\u0633\u062a" | |
| ], | |
| "eval_split_max_size": null, | |
| "eval_split_size": 0.01, | |
| "use_speaker_weighted_sampler": false, | |
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| "language_weighted_sampler_alpha": 1.0, | |
| "use_length_weighted_sampler": false, | |
| "length_weighted_sampler_alpha": 1.0, | |
| "num_chars": 156, | |
| "encoder_type": "rel_pos_transformer", | |
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| }, | |
| "use_encoder_prenet": true, | |
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| "min_seq_len": 3, | |
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| "r": 1, | |
| "restore_path": "train_output/kagg/best_model.pth", | |
| "github_branch": "inside_docker" | |
| } |