| sample_rate: 24_000
|
| audio_backend: "vocos"
|
|
|
| models:
|
| - name: "ar+nar-tts+stt"
|
| size: "full"
|
| resp_levels: 8
|
| prom_levels: 8
|
| tasks: 9
|
| langs: 2
|
| tones: 1
|
| arch_type: llama
|
| training: False
|
| version: 5
|
| attention: auto
|
| dropout: 0.1
|
|
|
|
|
|
|
|
|
| capabilities: ["ar", "nar"]
|
| experimental:
|
| p_rvq_levels: "auto"
|
| audio_embedding_sums: True
|
| unified_position_ids: False
|
| split_classifiers: True
|
|
|
| causal_size: 1
|
| interleave: False
|
| rvq_level_range: []
|
| tie_classifier_to_embedding: False
|
|
|
| loras:
|
| - name : "lora-max"
|
| rank: 128
|
| alpha: 128
|
| training: True
|
| rvq_levels: []
|
|
|
| hyperparameters:
|
| batch_size: 32
|
| gradient_accumulation_steps: 8
|
| gradient_clipping: 1.0
|
| warmup_steps: 10
|
|
|
| optimizer: Prodigy
|
| learning_rate: 1.0
|
| torch_optimizer: True
|
|
|
| scheduler: ""
|
| torch_scheduler: True
|
|
|
| evaluation:
|
| batch_size: 4
|
| frequency: 250
|
| size: 4
|
|
|
| steps: 500
|
| ar_temperature: 1.0
|
| nar_temperature: 0.0
|
|
|
| trainer:
|
| iterations: 1_000_000
|
| save_frequency: 250
|
| keep_last_checkpoints: 4
|
|
|
| resize_modules: True
|
|
|
| check_for_oom: False
|
| gradient_checkpointing: True
|
|
|
| weight_dtype: bfloat16
|
| amp: True
|
|
|
| backend: deepspeed
|
| deepspeed:
|
| inferencing: False
|
| amp: False
|
|
|
| load_webui: False
|
|
|
| inference:
|
| backend: local
|
| normalize: False
|
|
|
| weight_dtype: bfloat16
|
| amp: True
|
|
|
| optimizations:
|
| injects: False
|
| replace: True
|
|
|
| linear: False
|
| embedding: False
|
| optimizers: True
|
|
|
| bitsandbytes: False
|
| dadaptation: False
|
| bitnet: False
|
| fp8: False
|
|
|
| dataset:
|
| use_hdf5: True
|
| hdf5_flag: r
|
|
|
| use_metadata: True
|
| validate: True
|
|
|
| workers: 1
|
| cache: True
|
|
|
| duration_range: [3.0, 12.0]
|
|
|
| random_utterance: 1.0
|
| max_prompts: 1
|
| prompt_duration_range: [3.0, 3.0]
|
|
|
| max_resps: 1
|
| p_resp_append: 0.25
|
|
|
| sample_type: path
|
| sample_order: duration
|
| sample_max_duration_batch: 300
|
| sample_shuffle: False
|
|
|
| tasks_list: [ "tts", "stt" ]
|
|
|
| training: []
|
| validation: []
|
| noise: [] |
