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config.json

@@ -0,0 +1,284 @@
+{
+    "output_path": "/mnt/netapp2/Store_uni/home/usc/ci/ams/experimentos/gaspar",
+    "logger_uri": null,
+    "run_name": "gaspar_grap_48_104",
+    "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",
+    "save_on_interrupt": true,
+    "log_model_step": null,
+    "save_step": 10000,
+    "save_n_checkpoints": 10,
+    "save_checkpoints": true,
+    "save_all_best": false,
+    "save_best_after": 400,
+    "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,
+    "precision": "fp16",
+    "epochs": 1300,
+    "batch_size": 48,
+    "eval_batch_size": 16,
+    "grad_clip": [
+        1000,
+        1000
+    ],
+    "scheduler_after_epoch": true,
+    "lr": 0.0001,
+    "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,
+    "allow_tf32": 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": true,
+    "text_cleaner": null,
+    "enable_eos_bos_chars": false,
+    "test_sentences_file": "",
+    "phoneme_cache_path": "/mnt/netapp2/Store_uni/home/usc/ci/ams/experimentos/gaspar/phoneme_cache",
+    "characters": {
+        "characters_class": "TTS.tts.models.vits.VitsCharacters",
+        "vocab_dict": null,
+        "pad": "<PAD>",
+        "eos": "<EOS>",
+        "bos": "<BOS>",
+        "blank": "<BLNK>",
+        "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZ\u00c7\u00c1\u00c9\u00cd\u00cf\u00d3\u00da\u00dcabcdefghijklmnopqrstuvwxyz\u00f1\u00e1\u00e9\u00ed\u00ef\u00f3\u00fa\u00fc",
+        "punctuations": "!\u00a1'(),-.:;\u00bf? \"\n",
+        "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": "nos_grafemas",
+            "dataset_name": "",
+            "path": "/mnt/netapp2/Store_uni/home/usc/ci/ams/experimentos/gaspar/",
+            "meta_file_train": "texto_corpus_masculino_train.csv",
+            "ignored_speakers": null,
+            "language": "",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        }
+    ],
+    "test_sentences": [
+        "como van executar todas estas funci\u00f3ns que lles est\u00e1n a pedir?",
+        "a defensa institucional faina ese goberno e quen goberne, non?",
+        "supo\u00f1o que iso fala dos poucos argumentos que hai enriba da mesa para falar desta cuesti\u00f3n.",
+        "hai xiros da linguaxe con sentido figurado que non deben interpretarse en sentido literal.",
+        "a sentenza completa publicarase nos pr\u00f3ximos d\u00edas.",
+        "as temperaturas descenden lixeiramente, pero seguir\u00e1n elevadas pola tarde.",
+        "era un dos m\u00e1is interesantes proxectos nados na internet galaica.",
+        "falamos xa do tempo: hai avisos no litoral e nalgunhas zonas do interior por vento.",
+        "\u00e9 dif\u00edcil, non?",
+        "a escaseza de vacinas en europa poder\u00eda complicar a administraci\u00f3n da segunda dose.",
+        "que queres!?",
+        "as medidas afectan en galicia a m\u00e1is dun cento de barcos e dous milleiros de mari\u00f1eiros.",
+        "por favor, marque o catrocentos corenta e seis sesenta e oito oitenta e oito oitenta e seis.",
+        "o carballo da retorta ten unha folla revirada que lla revirou o aire unha noite de xeada.",
+        "orden\u00e1molos en par\u00e1grafos de catro li\u00f1as ou de seis?",
+        "\u00e9 licenciada en ciencias econ\u00f3micas e desenvolveu a meirande parte da s\u00faa carreira profesional na administraci\u00f3n p\u00fablica.",
+        "os enxe\u00f1eiros cualificaron a obra de moi complexa debido \u00e1 orograf\u00eda das zonas polas que discorre a v\u00eda.",
+        "ti xa sabes o que debes facer.",
+        "ter\u00e1s algo que contar...",
+        "que esc\u00e1ndalo!",
+        "que ben ole!",
+        "donas e cabaleiros: voulles amosa-lo home m\u00e1is forte do mundo.",
+        "a curuxa!, -berrou o vello.",
+        "a erupci\u00f3n provoca a emanaci\u00f3n de gases \u00e1 atmosfera.",
+        "as autoestradas da xunta (vigo baiona e a coru\u00f1a carballo) estar\u00e1n rematadas no ano mil novecentos noventa e sete.",
+        "investigadores estadounidenses identifican o xene responsable da propagaci\u00f3n das c\u00e9lulas cancer\u00edxenas.",
+        "ai!, e xogando \u00f3 trompo tam\u00e9n hab\u00eda xente que o coll\u00eda \u00e1 u\u00f1a, non sabes?, e velo coller \u00e1 u\u00f1a...",
+        "o valor das n\u00e9coras e das centolas de antano.",
+        "os hostaleiros miran as cifras con preocupaci\u00f3n.",
+        "deber\u00e1 efectuar a comunicaci\u00f3n coa debida antecedencia."
+    ],
+    "eval_split_max_size": null,
+    "eval_split_size": 0.05,
+    "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": [
+            3,
+            7,
+            11
+        ],
+        "resblock_dilation_sizes_decoder": [
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
+                3,
+                5
+            ]
+        ],
+        "upsample_rates_decoder": [
+            8,
+            8,
+            2,
+            2
+        ],
+        "upsample_initial_channel_decoder": 512,
+        "upsample_kernel_sizes_decoder": [
+            16,
+            16,
+            4,
+            4
+        ],
+        "periods_multi_period_discriminator": [
+            2,
+            3,
+            5,
+            7,
+            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,
+    "github_branch": "inside_docker"
+}