Update models/config.llama.yaml
Browse filesReduced a lot of unneeded settings in the config YAML
- models/config.llama.yaml +5 -106
models/config.llama.yaml
CHANGED
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@@ -1,117 +1,16 @@
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sample_rate: 24_000
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audio_backend: "vocos"
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models:
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- name: "ar+nar
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size: "full"
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resp_levels: 8
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prom_levels: 8
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tasks: 9
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langs: 4
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tones: 1
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arch_type: llama
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training: False
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version: 5
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attention: auto
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# text: 0.01
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# prom: 0.5
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# resp: 1.0
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capabilities: ["ar", "nar"]
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experimental:
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# modifies model arch
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audio_embedding_sums: True
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unified_position_ids: False
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split_classifiers: True
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#- name : "lora"
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# rank: 128
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# alpha: 128
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# training: True
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# rvq_levels: []
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hyperparameters:
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batch_size: 32
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gradient_accumulation_steps: 8
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gradient_clipping: 1.0
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warmup_steps: 10
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optimizer: Prodigy
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learning_rate: 1.0
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torch_optimizer: True
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scheduler: "" # ScheduleFree
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torch_scheduler: True
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evaluation:
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batch_size: 4
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frequency: 250
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size: 4
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steps: 500
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ar_temperature: 1.0
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nar_temperature: 0.0
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trainer:
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iterations: 1_000_000
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save_frequency: 250
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keep_last_checkpoints: 4
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resize_modules: True
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gradient_checkpointing: True
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weight_dtype: bfloat16
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amp: True
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backend: deepspeed
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deepspeed:
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inferencing: False
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amp: False
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inference:
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backend: local
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weight_dtype: bfloat16
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amp: True
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optimizations:
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injects: False
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replace: True
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linear: False
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embedding: False
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optimizers: True
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bitsandbytes: False
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dadaptation: False
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bitnet: False
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fp8: False
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dataset:
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use_hdf5: True
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hdf5_flag: r
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use_metadata: True
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validate: True
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workers: 1
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cache: True
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duration_range: [3.0, 12.0]
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prompt_max_samples: 1
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prompt_duration_range: [3.0, 3.0]
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resps_max_samples: 1
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sample_type: path # path # speaker
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sample_order: duration
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sample_max_duration_batch: 300
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sample_shuffle: False
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tasks_list: [ "tts", "stt" ]
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training: []
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validation: []
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noise: []
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models:
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- name: "ar+nar"
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size: "full"
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resp_levels: 8
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tasks: 9
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langs: 4
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tones: 1
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arch_type: llama
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attention: auto
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version: 5
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capabilities: ["ar", "nar"]
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experimental:
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split_classifiers: True
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audio_embedding_sums: True
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unified_position_ids: False
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