recipes/pref_align_scan/dpo/config_openhermes.yaml

# Model arguments
model_name_or_path: teknium/OpenHermes-2.5-Mistral-7B
torch_dtype: null

# Data training arguments
dataset_mixer:
  HuggingFaceH4/orca_dpo_pairs: 1.0
dataset_splits:
- train_prefs
- test_prefs
preprocessing_num_workers: 12

# Training arguments with sensible defaults
bf16: true
beta: 0.01
loss_type: sigmoid
do_eval: true
do_train: true
eval_strategy: steps
eval_steps: 100
gradient_accumulation_steps: 2
gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: False
hub_model_id: HuggingFaceH4/openhermes-2.5-mistral-7b-dpo
hub_model_revision: v1.0

learning_rate: 5.0e-7
logging_steps: 10
lr_scheduler_type: cosine
max_prompt_length: 512
num_train_epochs: 1
optim: adamw_torch
output_dir: data/openhermes-2.5-mistral-7b-dpo-v1.0
per_device_train_batch_size: 8
per_device_eval_batch_size: 8
save_strategy: "steps"
save_steps: 100
save_total_limit: 1
seed: 42
warmup_ratio: 0.1