|
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-sam"
|
|
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: [] |
