# Model defaults for unsloth/Qwen3-0.6B
# Based on Qwen3_(0_6B)-Phone_Deployment.ipynb
# Also applies to: unsloth/Qwen3-0.6B-unsloth-bnb-4bit, Qwen/Qwen3-0.6B, unsloth/Qwen3-0.6B-bnb-4bit, Qwen/Qwen3-0.6B-FP8, unsloth/Qwen3-0.6B-FP8
# added inference parameters from Ollama

training:
  max_seq_length: 1024
  # num_epochs: 4
  num_epochs: 0
  learning_rate: 5e-5
  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: 16
  lora_alpha: 16
  lora_dropout: 0.0
  target_modules:
    - "q_proj"
    - "k_proj"
    - "v_proj"
    - "o_proj"
    - "gate_proj"
    - "up_proj"
    - "down_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: 0.6
  top_k: 20
  top_p: 0.95