9B_full.yaml

# Config for multi-device full finetuning in full_finetune_distributed.py
# using a gemma2 9B model
#
# This config assumes that you've run the following command before launching
# this run:
#   tune download google/gemma-2-9b --ignore-patterns "gemma-2-9b.gguf"  --hf-token <HF_TOKEN>
#
# To launch on 4 devices, run the following command from root:
#   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config gemma2/9B_full
#
# You can add specific overrides through the command line. For example
# to override the checkpointer directory while launching training
# you can run:
#   tune run --nnodes 1 --nproc_per_node 4 full_finetune_distributed --config gemma2/9B_full checkpointer.checkpoint_dir=<YOUR_CHECKPOINT_DIR>
#
# This config works only when the model is being fine-tuned on 2+ GPUs.


# Tokenizer
tokenizer:
  _component_: torchtune.models.gemma.gemma_tokenizer
  path: /tmp/gemma-2-9b/tokenizer.model

# Dataset
dataset:
  packed: False # Set to true for great speed ups
  _component_: torchtune.datasets.alpaca_dataset
seed: null
shuffle: True

# Model Arguments
model:
  _component_: torchtune.models.gemma2.gemma2_9b

checkpointer:
  _component_: torchtune.training.FullModelHFCheckpointer
  checkpoint_dir: /tmp/gemma-2-9b/
  checkpoint_files:
    filename_format: model-{}-of-{}.safetensors
    max_filename: "00008"
  recipe_checkpoint: null
  output_dir: /tmp/gemma-2-9b
  model_type: GEMMA2
resume_from_checkpoint: False

# Fine-tuning arguments
batch_size: 1
epochs: 1
optimizer:
  _component_: torch.optim.AdamW
  fused: True
  lr: 2e-5
loss:
  _component_: torchtune.modules.loss.CEWithChunkedOutputLoss
max_steps_per_epoch: null
gradient_accumulation_steps: 1
compile: False  # pytorch compile, set to true for perf/memory improvement

# Training env
device: cuda

# Memory management
enable_activation_checkpointing: True

# Reduced precision
dtype: bf16

# Logging
metric_logger:
  _component_: torchtune.training.metric_logging.DiskLogger
  log_dir: ${output_dir}
output_dir: /tmp/alpaca-gemma2-9b-finetune
log_every_n_steps: 1
log_peak_memory_stats: True