tokenizer:
  _component_: torchtune.models.gemma.gemma_tokenizer
  path: ./target/gemma-2b/tokenizer.model
dataset:
  _component_: torchtune.datasets.alpaca_dataset
seed: null
shuffle: true
model:
  _component_: torchtune.models.gemma.lora_gemma_2b
  lora_attn_modules:
  - q_proj
  - k_proj
  - v_proj
  apply_lora_to_mlp: true
  lora_rank: 64
  lora_alpha: 128
  lora_dropout: 0.0
checkpointer:
  _component_: torchtune.training.FullModelHFCheckpointer
  checkpoint_dir: ./target/gemma-2b/
  checkpoint_files:
  - model-00001-of-00002.safetensors
  - model-00002-of-00002.safetensors
  recipe_checkpoint: null
  output_dir: ${output_dir}/weights
  model_type: GEMMA
resume_from_checkpoint: false
save_adapter_weights_only: false
optimizer:
  _component_: torch.optim.AdamW
  fused: false
  lr: 2.0e-05
lr_scheduler:
  _component_: torchtune.modules.get_cosine_schedule_with_warmup
  num_warmup_steps: 10
loss:
  _component_: torchtune.modules.loss.CEWithChunkedOutputLoss
batch_size: 4
epochs: 1
max_steps_per_epoch: 10
gradient_accumulation_steps: 4
compile: false
device: mps
enable_activation_checkpointing: true
enable_activation_offloading: false
dtype: bf16
metric_logger:
  _component_: torchtune.training.metric_logging.DiskLogger
  log_dir: ${output_dir}
output_dir: ./target/gemma_tmp
log_every_n_steps: 1
log_peak_memory_stats: false
profiler:
  _component_: torchtune.training.setup_torch_profiler
  enabled: false
  output_dir: ${output_dir}/profiling_outputs
  cpu: true
  cuda: true
  profile_memory: false
  with_stack: false
  record_shapes: true
  with_flops: false
  wait_steps: 5
  warmup_steps: 5
  active_steps: 2
  num_cycles: 1