# Model defaults for OuteAI/Llama-OuteTTS-1.0-1B
# Based on Oute_TTS_(1B).ipynb
# Also applies to: OuteAI/Llama-OuteTTS-1.0-1B
# added inference parameters from unsloth notebook

audio_type: dac

training:
  eval_steps: 0
  max_seq_length: 2048
  # num_epochs: 4
  num_epochs: 0
  learning_rate: 2e-4
  batch_size: 2
  gradient_accumulation_steps: 4
  warmup_steps: 5
  max_steps: 30
  save_steps: 30
  weight_decay: 0.001
  random_seed: 3407
  packing: false
  train_on_completions: true
  gradient_checkpointing: "unsloth"
  optim: "adamw_8bit"
  lr_scheduler_type: "linear"

lora:
  lora_r: 128
  lora_alpha: 128
  lora_dropout: 0.0
  target_modules:
    - "q_proj"
    - "v_proj"
  use_rslora: false
  use_loftq: false
  use_dora: false

logging:
  enable_wandb: false
  wandb_project: "llm-finetuning"
  enable_tensorboard: false
  tensorboard_dir: "runs"
  log_frequency: 10

inference:
  temperature: 0.4
  top_k: 40
  top_p: 0.9
  min_p: 0.05