From c6f970b65bee6ba262926e4cea79bf08e89fbd73 Mon Sep 17 00:00:00 2001 From: Eren Golge Date: Thu, 23 May 2019 01:52:27 +0200 Subject: [PATCH] update config --- config_cluster.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/config_cluster.json b/config_cluster.json index f6f38bff..e77d5618 100644 --- a/config_cluster.json +++ b/config_cluster.json @@ -62,10 +62,10 @@ "run_eval": true, "test_delay_epochs": 5, //Until attention is aligned, testing only wastes computation time. - "data_path": "/media/erogol/data_ssd/Data/LJSpeech-1.1", // DATASET-RELATED: can overwritten from command argument - "meta_file_train": "metadata_train.csv", // DATASET-RELATED: metafile for training dataloader. - "meta_file_val": "metadata_val.csv", // DATASET-RELATED: metafile for evaluation dataloader. - "dataset": "ljspeech", // DATASET-RELATED: one of TTS.dataset.preprocessors depending on your target dataset. Use "tts_cache" for pre-computed dataset by extract_features.py + "data_path": "/media/erogol/data_ssd/Data/Mozilla/", // DATASET-RELATED: can overwritten from command argument + "meta_file_train": "metadata_train.txt", // DATASET-RELATED: metafile for training dataloader. + "meta_file_val": "metadata_val.txt", // DATASET-RELATED: metafile for evaluation dataloader. + "dataset": "mozilla", // DATASET-RELATED: one of TTS.dataset.preprocessors depending on your target dataset. Use "tts_cache" for pre-computed dataset by extract_features.py "min_seq_len": 0, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 150, // DATASET-RELATED: maximum text length "output_path": "../keep/", // DATASET-RELATED: output path for all training outputs.