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Upload training_config.json

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  1. training_config.json +55 -0
training_config.json ADDED
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+ {
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+ "project_name": "vits_kbd",
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+ "push_to_hub": true,
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+ "hub_model_id": "mms_finetune_kbd_murat",
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+ "overwrite_output_dir": false,
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+ "output_dir": "./tmp/vits_kbd_finetuned_che_model",
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+
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+ "dataset_name": "anzorq/kbd_speech",
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+ "audio_column_name": "audio",
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+ "text_column_name": "transcription",
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+ "train_split_name": "train",
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+ "eval_split_name": "train",
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+ "speaker_id_column_name": "speaker_id",
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+ "override_speaker_embeddings": true,
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+ "filter_on_speaker_id": 9769125,
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+
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+ "full_generation_sample_text": "укъэмыващэрэт тӏэ уэ щӏалэ цӏыкӏур! - жиӏащ лӏыжьым",
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+
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+ "max_duration_in_seconds": 20,
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+ "min_duration_in_seconds": 1.0,
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+ "max_tokens_length": 500,
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+
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+ "do_lower_case": true,
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+
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+ "model_name_or_path": "anzorq/mms-tts-kbd-discriminator",
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+
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+ "preprocessing_num_workers": 4,
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+
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+ "do_train": true,
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+ "max_steps": 5100,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
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+ "per_device_train_batch_size": 16,
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+ "learning_rate": 1e-4,
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+ "adam_beta1": 0.8,
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+ "adam_beta2": 0.99,
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+ "warmup_ratio": 0.01,
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+ "group_by_length": false,
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+
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+ "do_eval": true,
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+ "eval_steps": 100,
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+ "per_device_eval_batch_size": 16,
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+ "max_eval_samples": 100,
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+ "do_step_schedule_per_epoch": true,
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+
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+ "weight_disc": 3,
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+ "weight_fmaps": 1,
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+ "weight_gen": 1,
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+ "weight_kl": 1.5,
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+ "weight_duration": 1,
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+ "weight_mel": 35,
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+
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+ "fp16": true,
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+ "seed": 456
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+ }