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Create config-2.json

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  1. config-2.json +197 -0
config-2.json ADDED
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+ {
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+ "output_path": "/kaggle/working/train_output",
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+ "logger_uri": null,
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+ "run_name": "run",
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+ "project_name": null,
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+ "run_description": "\ud83d\udc38Coqui trainer run.",
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+ "print_step": 25,
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+ "plot_step": 100,
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+ "model_param_stats": false,
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+ "wandb_entity": null,
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+ "dashboard_logger": "tensorboard",
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+ "log_model_step": null,
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+ "save_step": 1000,
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+ "save_n_checkpoints": 5,
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+ "save_checkpoints": true,
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+ "save_all_best": false,
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+ "save_best_after": 10000,
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+ "print_eval": false,
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+ "run_eval": true,
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+ "distributed_backend": "nccl",
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+ "distributed_url": "tcp://localhost:54321",
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+ "mixed_precision": true,
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+ "epochs": 1000,
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+ "batch_size": 16,
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+ "eval_batch_size": 8,
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+ "grad_clip": 5.0,
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+ "scheduler_after_epoch": true,
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+ "lr": 0.0001,
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+ "optimizer": "RAdam",
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+ "optimizer_params": {
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+ "betas": [
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+ 0.9,
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+ 0.998
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+ ],
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+ "weight_decay": 1e-06
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+ },
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+ "lr_scheduler": "NoamLR",
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+ "lr_scheduler_params": {
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+ "warmup_steps": 4000
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+ },
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+ "use_grad_scaler": false,
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+ "cudnn_enable": true,
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+ "cudnn_deterministic": false,
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+ "cudnn_benchmark": false,
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+ "training_seed": 54321,
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+ "model": "tacotron2",
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+ "num_loader_workers": 0,
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+ "num_eval_loader_workers": 0,
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+ "use_noise_augment": false,
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+ "audio": {
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+ "fft_size": 1024,
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+ "win_length": 1024,
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+ "hop_length": 256,
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+ "frame_length_ms": null,
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+ "stft_pad_mode": "reflect",
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+ "sample_rate": 24000,
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+ "resample": false,
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+ "preemphasis": 0.0,
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+ "ref_level_db": 20,
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+ "do_sound_norm": false,
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+ "log_func": "np.log10",
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+ "do_trim_silence": true,
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+ "trim_db": 45,
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+ "do_rms_norm": false,
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+ "db_level": null,
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+ "power": 1.5,
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+ "griffin_lim_iters": 60,
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+ "num_mels": 80,
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+ "mel_fmin": 0.0,
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+ "mel_fmax": null,
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+ "spec_gain": 20,
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+ "do_amp_to_db_linear": true,
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+ "do_amp_to_db_mel": true,
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+ "pitch_fmax": 640.0,
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+ "pitch_fmin": 1.0,
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+ "signal_norm": true,
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+ "min_level_db": -100,
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+ "symmetric_norm": true,
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+ "max_norm": 4.0,
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+ "clip_norm": true,
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+ "stats_path": null
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+ },
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+ "use_phonemes": true,
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+ "phonemizer": "espeak",
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+ "phoneme_language": "fa",
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+ "compute_input_seq_cache": false,
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+ "text_cleaner": "basic_cleaners",
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+ "enable_eos_bos_chars": false,
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+ "test_sentences_file": "",
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+ "phoneme_cache_path": "/kaggle/working/train_output/phoneme_cache",
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+ "characters": {
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+ "characters_class": "TTS.tts.utils.text.characters.IPAPhonemes",
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+ "vocab_dict": null,
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+ "pad": "<PAD>",
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+ "eos": "<EOS>",
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+ "bos": "<BOS>",
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+ "blank": "<BLNK>",
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+ "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\"#$%*+/=ABCDEFGHIJKLMNOPRSTUVWXYZ[]^_{}",
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+ "punctuations": "!(),-.:;? \u0320\u060c\u061b\u061f\u200c<>",
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+ "phonemes": "\u02c8\u02cc\u02d0\u02d1pbtd\u0288\u0256c\u025fk\u0261q\u0262\u0294\u0274\u014b\u0272\u0273n\u0271m\u0299r\u0280\u2c71\u027e\u027d\u0278\u03b2fv\u03b8\u00f0sz\u0283\u0292\u0282\u0290\u00e7\u029dx\u0263\u03c7\u0281\u0127\u0295h\u0266\u026c\u026e\u028b\u0279\u027bj\u0270l\u026d\u028e\u029faegiouwy\u026a\u028a\u0329\u00e6\u0251\u0254\u0259\u025a\u025b\u025d\u0268\u0303\u0289\u028c\u028d0123456789\"#$%*+/=ABCDEFGHIJKLMNOPRSTUVWXYZ[]^_{}",
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+ "is_unique": true,
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+ "is_sorted": true
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+ },
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+ "add_blank": false,
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+ "batch_group_size": 0,
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+ "loss_masking": true,
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+ "min_audio_len": 1,
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+ "max_audio_len": Infinity,
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+ "min_text_len": 1,
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+ "max_text_len": Infinity,
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+ "compute_f0": false,
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+ "compute_linear_spec": false,
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+ "precompute_num_workers": 0,
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+ "start_by_longest": false,
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+ "shuffle": false,
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+ "drop_last": false,
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+ "datasets": [
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+ {
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+ "formatter": "mozilla",
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+ "dataset_name": "",
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+ "path": "/kaggle/input/persian-tts-dataset-famale",
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+ "meta_file_train": "metadata.csv",
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+ "ignored_speakers": null,
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+ "language": "",
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+ "meta_file_val": "",
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+ "meta_file_attn_mask": ""
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+ }
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+ ],
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+ "test_sentences": [
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+ "\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 ",
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+ "\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.",
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+ "\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",
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+ "\u06cc\u06a9 \u0628\u0627\u0631 \u0647\u0645 \u0627\u0632 \u062c\u0647\u0646\u0645 \u0628\u06af\u0648\u06cc\u06cc\u062f.",
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+ "\u06cc\u06a9\u06cc \u0627\u0633\u0628\u06cc \u0628\u0647 \u0639\u0627\u0631\u06cc\u062a \u062e\u0648\u0627\u0633\u062a"
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+ ],
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+ "eval_split_max_size": null,
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+ "eval_split_size": 0.01,
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+ "use_speaker_weighted_sampler": false,
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+ "speaker_weighted_sampler_alpha": 1.0,
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+ "num_chars": 156,
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+ "r": 2,
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+ "memory_size": -1,
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+ "prenet_type": "original",
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+ "prenet_dropout": true,
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+ "prenet_dropout_at_inference": false,
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+ "stopnet": true,
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+ "separate_stopnet": true,
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+ "stopnet_pos_weight": 0.2,
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+ "max_decoder_steps": 10000,
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+ "attention_type": "original",
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+ "attention_norm": "sigmoid",
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+ "location_attn": true,
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+ "bidirectional_decoder": false,
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+ "speakers_file": null,
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+ "use_speaker_embedding": false,
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+ "speaker_embedding_dim": 512,
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+ "use_d_vector_file": false,
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+ "seq_len_norm": false,
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+ "decoder_loss_alpha": 0.25,
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+ "postnet_loss_alpha": 0.25,
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+ "ga_alpha": 5.0,
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+ "restore_path": "/kaggle/working/train_output/kagg/checkpoint_18000.pth",
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+ "github_branch": "inside_docker"
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+ }