icia_config.json

{
    "output_path": "/home/compartido/antonio/fonemas/Vits",
    "logger_uri": null,
    "run_name": "proba_icia_vits_fon",
    "project_name": null,
    "run_description": "\ud83d\udc38Coqui trainer run.",
    "print_step": 25,
    "plot_step": 100,
    "model_param_stats": false,
    "wandb_entity": null,
    "dashboard_logger": "tensorboard",
    "log_model_step": null,
    "save_step": 10000,
    "save_n_checkpoints": 5,
    "save_checkpoints": true,
    "save_all_best": false,
    "save_best_after": 10000,
    "target_loss": null,
    "print_eval": true,
    "test_delay_epochs": -1,
    "run_eval": true,
    "run_eval_steps": null,
    "distributed_backend": "nccl",
    "distributed_url": "tcp://localhost:54321",
    "mixed_precision": true,
    "epochs": 1000,
    "batch_size": 32,
    "eval_batch_size": 16,
    "grad_clip": [
        1000,
        1000
    ],
    "scheduler_after_epoch": true,
    "lr": 0.001,
    "optimizer": "AdamW",
    "optimizer_params": {
        "betas": [
            0.8,
            0.99
        ],
        "eps": 1e-09,
        "weight_decay": 0.01
    },
    "lr_scheduler": null,
    "lr_scheduler_params": {},
    "use_grad_scaler": false,
    "cudnn_enable": true,
    "cudnn_deterministic": false,
    "cudnn_benchmark": false,
    "training_seed": 54321,
    "model": "vits",
    "num_loader_workers": 8,
    "num_eval_loader_workers": 4,
    "use_noise_augment": false,
    "audio": {
        "fft_size": 1024,
        "sample_rate": 16000,
        "win_length": 1024,
        "hop_length": 256,
        "num_mels": 80,
        "mel_fmin": 0,
        "mel_fmax": null
    },
    "use_phonemes": false,
    "phonemizer": null,
    "phoneme_language": null,
    "compute_input_seq_cache": null,
    "text_cleaner": null,
    "enable_eos_bos_chars": false,
    "test_sentences_file": "",
    "phoneme_cache_path": null,
    "characters": {
        "characters_class": "TTS.tts.utils.text.characters.Graphemes",
        "vocab_dict": null,
        "pad": "<PAD>",
        "eos": "<EOS>",
        "bos": "<BOS>",
        "blank": "<BLNK>",
        "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZ\u00c7\u00c1\u00c9\u00cd\u00d3\u00da\u00dcabcdefghijklmnopqrstuvwxyz\u00f1\u00e1\u00e9\u00ed\u00f3\u00fa\u00fc\"\n",
        "punctuations": "!\u00a1'(),-.:;\u00bf? ",
        "phonemes": null,
        "is_unique": true,
        "is_sorted": true
    },
    "add_blank": true,
    "batch_group_size": 5,
    "loss_masking": null,
    "min_audio_len": 1,
    "max_audio_len": Infinity,
    "min_text_len": 1,
    "max_text_len": Infinity,
    "compute_f0": false,
    "compute_energy": false,
    "compute_linear_spec": true,
    "precompute_num_workers": 0,
    "start_by_longest": false,
    "shuffle": false,
    "drop_last": false,
    "datasets": [
        {
            "formatter": "ljspeech",
            "dataset_name": "",
            "path": "/home/antonio.moscoso.sanchez/Coqui-ai/icia/",
            "meta_file_train": "metadata16F3.csv",
            "ignored_speakers": null,
            "language": "",
            "phonemizer": "",
            "meta_file_val": "",
            "meta_file_attn_mask": ""
        }
    ],
    "test_sentences": [
        "proB\u00e1ndo uNa fr\u00e1se n\u00d3Ba.",
        "b\u00f3as t\u00e1rDes a t\u00f3Do o m\u00fando.",
        "\u00f3Se o D\u00eda \u00c9 maraBiZ\u00f3so.",
        "n\u00f3N s\u00e9j ke t\u00e1l se me \u00d3e."
    ],
    "eval_split_max_size": null,
    "eval_split_size": 0.01,
    "use_speaker_weighted_sampler": false,
    "speaker_weighted_sampler_alpha": 1.0,
    "use_language_weighted_sampler": false,
    "language_weighted_sampler_alpha": 1.0,
    "use_length_weighted_sampler": false,
    "length_weighted_sampler_alpha": 1.0,
    "model_args": {
        "num_chars": 85,
        "out_channels": 513,
        "spec_segment_size": 32,
        "hidden_channels": 192,
        "hidden_channels_ffn_text_encoder": 768,
        "num_heads_text_encoder": 2,
        "num_layers_text_encoder": 6,
        "kernel_size_text_encoder": 3,
        "dropout_p_text_encoder": 0.1,
        "dropout_p_duration_predictor": 0.5,
        "kernel_size_posterior_encoder": 5,
        "dilation_rate_posterior_encoder": 1,
        "num_layers_posterior_encoder": 16,
        "kernel_size_flow": 5,
        "dilation_rate_flow": 1,
        "num_layers_flow": 4,
        "resblock_type_decoder": "1",
        "resblock_kernel_sizes_decoder": [
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            7,
            11
        ],
        "resblock_dilation_sizes_decoder": [
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                1,
                3,
                5
            ],
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                1,
                3,
                5
            ],
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                3,
                5
            ]
        ],
        "upsample_rates_decoder": [
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            8,
            2,
            2
        ],
        "upsample_initial_channel_decoder": 512,
        "upsample_kernel_sizes_decoder": [
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            16,
            4,
            4
        ],
        "periods_multi_period_discriminator": [
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            3,
            5,
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            11
        ],
        "use_sdp": true,
        "noise_scale": 1.0,
        "inference_noise_scale": 0.667,
        "length_scale": 1,
        "noise_scale_dp": 1.0,
        "inference_noise_scale_dp": 1.0,
        "max_inference_len": null,
        "init_discriminator": true,
        "use_spectral_norm_disriminator": false,
        "use_speaker_embedding": false,
        "num_speakers": 0,
        "speakers_file": null,
        "d_vector_file": null,
        "speaker_embedding_channels": 256,
        "use_d_vector_file": false,
        "d_vector_dim": 0,
        "detach_dp_input": true,
        "use_language_embedding": false,
        "embedded_language_dim": 4,
        "num_languages": 0,
        "language_ids_file": null,
        "use_speaker_encoder_as_loss": false,
        "speaker_encoder_config_path": "",
        "speaker_encoder_model_path": "",
        "condition_dp_on_speaker": true,
        "freeze_encoder": false,
        "freeze_DP": false,
        "freeze_PE": false,
        "freeze_flow_decoder": false,
        "freeze_waveform_decoder": false,
        "encoder_sample_rate": null,
        "interpolate_z": true,
        "reinit_DP": false,
        "reinit_text_encoder": false
    },
    "lr_gen": 0.0002,
    "lr_disc": 0.0002,
    "lr_scheduler_gen": "ExponentialLR",
    "lr_scheduler_gen_params": {
        "gamma": 0.999875,
        "last_epoch": -1
    },
    "lr_scheduler_disc": "ExponentialLR",
    "lr_scheduler_disc_params": {
        "gamma": 0.999875,
        "last_epoch": -1
    },
    "kl_loss_alpha": 1.0,
    "disc_loss_alpha": 1.0,
    "gen_loss_alpha": 1.0,
    "feat_loss_alpha": 1.0,
    "mel_loss_alpha": 45.0,
    "dur_loss_alpha": 1.0,
    "speaker_encoder_loss_alpha": 1.0,
    "return_wav": true,
    "use_weighted_sampler": false,
    "weighted_sampler_attrs": {},
    "weighted_sampler_multipliers": {},
    "r": 1,
    "num_speakers": 0,
    "use_speaker_embedding": false,
    "speakers_file": null,
    "speaker_embedding_channels": 256,
    "language_ids_file": null,
    "use_language_embedding": false,
    "use_d_vector_file": false,
    "d_vector_file": null,
    "d_vector_dim": 0,
    "restore_path": "/home/compartido/nos/OUTPUT/MODELOS/TTS/Celtia/celtia1/celtia1.pth",
    "github_branch": "inside_docker"
}