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https://github.com/hanzoai/open-instruct.git
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8710794223
* init pr * add script * clean config folders * organization * up * tokenizer fixes * Fix dpo script tokenizer setup + minor fixes (#184) * copy tokenizer setup * minor fixes --------- Co-authored-by: Hamish Ivison <[email protected]>
24 lines
753 B
YAML
24 lines
753 B
YAML
# Note, the exact model was trained on TPUs in a different repo
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# TODO adapt batch sizes to 16+ GPUs for more useful recipe
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model_name_or_path: meta-llama/Llama-2-70b
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model_revision: main
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use_flash_attn: true
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tokenizer_name: meta-llama/Llama-2-70b
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use_slow_tokenizer: true
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dataset_name: allenai/tulu-v2-sft-mixture
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max_seq_length: 8192
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preprocessing_num_workers: 128
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per_device_train_batch_size: 1 # note, this is set up for 8 GPUs
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gradient_accumulation_steps: 16 # effective batch size 128 for tulu 2
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learning_rate: 1.0e-05
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lr_scheduler_type: linear
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warmup_ratio: 0.03
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weight_decay: 0.0
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num_train_epochs: 3
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output_dir: output/tulu_v2_70b/
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with_tracking: true
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report_to:
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- wandb
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logging_steps: 1
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checkpointing_steps: epoch
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gradient_checkpointing: true |