7B_full_single_device.yaml

# Config for single device full finetuning in full_finetune_single_device.py
# using a Qwen2 7B
#
# This config assumes that you've run the following command before launching
# this run:
#   tune download Qwen/Qwen2-7B-Instruct --output-dir /tmp/Qwen2-7B-Instruct --ignore-patterns None
#
# The default config uses an optimizer from bitsandbytes. If you do not have it installed,
# you can install it with
#   pip install bitsandbytes
#
# To launch on a single device, run the following command from root:
#   tune run full_finetune_single_device --config qwen2/7B_full_single_device
#
# You can add specific overrides through the command line. For example
# to override the checkpointer directory while launching training
# you can run:
#   tune run full_finetune_single_device --config qwen2/7B_full_single_device checkpointer.checkpoint_dir=<YOUR_CHECKPOINT_DIR>
#
# This config works only for training on single device.

# Tokenizer
tokenizer:
  _component_: torchtune.models.qwen2.qwen2_tokenizer
  path: /tmp/Qwen2-7B-Instruct/vocab.json
  merges_file: /tmp/Qwen2-7B-Instruct/merges.txt
  max_seq_len: null

# Dataset
dataset:
  _component_: torchtune.datasets.alpaca_cleaned_dataset
seed: null
shuffle: True

# Model Arguments
model:
  _component_: torchtune.models.qwen2.qwen2_7b

checkpointer:
  _component_: torchtune.training.FullModelHFCheckpointer
  checkpoint_dir: /tmp/Qwen2-7B-Instruct
  checkpoint_files: [
    model-00001-of-00004.safetensors,
    model-00002-of-00004.safetensors,
    model-00003-of-00004.safetensors,
    model-00004-of-00004.safetensors
  ]
  recipe_checkpoint: null
  output_dir: /tmp/Qwen2-7B-Instruct-finetune
  model_type: QWEN2
resume_from_checkpoint: False

# Fine-tuning arguments
batch_size: 2
epochs: 1
optimizer:
  _component_: bitsandbytes.optim.PagedAdamW
  lr: 5e-6
optimizer_in_bwd: True
loss:
  _component_: torchtune.modules.loss.CEWithChunkedOutputLoss
max_steps_per_epoch: null
gradient_accumulation_steps: 1
compile: False

# Training environment
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/Qwen2-7B-Instruct-finetune
log_every_n_steps: 1
log_peak_memory_stats: False