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41 changes: 41 additions & 0 deletions configs/train_configs/dpo/best_current_mix.yaml
Original file line number Diff line number Diff line change
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model_name_or_path: /model
model_revision: main
use_flash_attn: true
gradient_checkpointing: true
dataset_mixer:

#LJ's helpsteer regenerations
# orig Helpsteer2
ai2-adapt-dev/helpsteer2-uf-pipeline-regen: 1.0

#LJ's UF regenerations
ai2-adapt-dev/tulu3.4-sft-replica-50k-gpt4-prefs-on-policy: 1.0

#LJ's regenerations of my datasets
ai2-adapt-dev/DaringAnteater-prefs-RM-filter-uf-pipeline-regen: 1.0
ai2-adapt-dev/WildChat-prefs-280824-uf-pipeline-regen: 1.0
ai2-adapt-dev/Llama-3.1-if_taxonomy_tulu-uf-regen: 1.0

#LJ's unused WildChat regenerations
ai2-adapt-dev/wildchat_v3.9_unused_off_policy: 1.0

tokenizer_name: /model
use_slow_tokenizer: true
max_seq_length: 2048
preprocessing_num_workers: 16
per_device_train_batch_size: 1
gradient_accumulation_steps: 16 # designed for 8 GPUs, so batch size 128
learning_rate: 5.0e-7
lr_scheduler_type: linear
warmup_ratio: 0.1
weight_decay: 0.0
num_train_epochs: 1
output_dir: /output
with_tracking: true
report_to:
- wandb
logging_steps: 1
use_lora: false
dpo_loss_type: dpo_norm
dpo_beta: 5
checkpointing_steps: 1000
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