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dataset: |
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training: [ |
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] |
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validation: [ |
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] |
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noise: [ |
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] |
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|
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speaker_name_getter: "lambda p: f'{p.parts[-3]}_{p.parts[-2]}'" |
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|
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use_hdf5: True |
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use_metadata: True |
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hdf5_flag: r |
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validate: True |
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|
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workers: 4 |
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cache: True |
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|
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phones_range: [4, 256] |
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duration_range: [1.0, 16.0] |
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|
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random_utterance: 1.0 |
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max_prompts: 3 |
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prompt_duration: 3.0 |
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|
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sample_type: speaker |
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|
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tasks_list: ["tts"] |
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|
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models: |
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_prom_levels: 4 |
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_max_levels: 8 |
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|
|
_models: |
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- name: "ar" |
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size: "full" |
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resp_levels: 1 |
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prom_levels: 2 |
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tasks: 8 |
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arch_type: "retnet" |
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training: True |
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- name: "nar" |
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size: "full" |
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resp_levels: 3 |
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prom_levels: 4 |
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tasks: 8 |
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arch_type: "retnet" |
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training: True |
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|
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|
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hyperparameters: |
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batch_size: 8 |
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gradient_accumulation_steps: 1 |
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gradient_clipping: 100 |
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|
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optimizer: AdamW |
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learning_rate: 1.0e-5 |
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|
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scheduler_type: "" |
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|
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evaluation: |
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batch_size: 16 |
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frequency: 500 |
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size: 16 |
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|
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steps: 300 |
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ar_temperature: 0.95 |
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nar_temperature: 0.25 |
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load_disabled_engines: True |
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|
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trainer: |
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iterations: 1_000_000 |
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|
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save_tag: step |
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save_on_oom: True |
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save_on_quit: True |
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save_frequency: 500 |
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export_on_save: True |
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|
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keep_last_checkpoints: 4 |
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|
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aggressive_optimizations: False |
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load_disabled_engines: False |
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|
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load_state_dict: True |
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|
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gc_mode: None |
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|
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weight_dtype: float32 |
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amp: False |
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|
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backend: local |
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deepspeed: |
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zero_optimization_level: 0 |
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use_compression_training: True |
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|
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inference: |
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weight_dtype: float32 |
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amp: False |
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|
|
use_vocos: True |
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normalize: False |
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|
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recurrent_chunk_size: 0 |
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recurrent_forward: False |
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|
|
bitsandbytes: |
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enabled: False |
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injects: True |
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linear: True |
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embedding: True |
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|
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device: cpu |
