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Upload configs.yaml with huggingface_hub

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  1. configs.yaml +41 -0
configs.yaml ADDED
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+ assistant_tag: assistant
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+ bf16: true
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+ content_tag: value
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+ cutoff_len: 16384
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+ dataset: mlfoundations-dev/extra_verified
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+ dataset_dir: ONLINE
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+ ddp_timeout: 180000000
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+ deepspeed: dcft/train/zero3.json
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+ do_train: true
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+ eval_strategy: 'no'
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+ finetuning_type: full
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+ formatting: sharegpt
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+ global_batch_size: 96
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+ gradient_accumulation_steps: 3
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+ gradient_checkpointing: true
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+ hub_model_id: mlfoundations-dev/qwen_7b_instruct_extra_verified
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+ include_hp: dcft/train/hp_settings/qwen_7b_skyt1.yaml
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+ learning_rate: 1.0e-05
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+ logging_steps: 10
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+ lr_scheduler_type: cosine
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+ max_samples: 1000000
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+ messages: conversations
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+ model_name_or_path: Qwen/Qwen2.5-7B-Instruct
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+ num_train_epochs: 3.0
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+ output_dir: /tmp/dcft_checkpoints/qwen_7b_instruct_extra_verified
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+ overwrite_cache: true
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+ overwrite_output_dir: true
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+ per_device_train_batch_size: 1
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+ plot_loss: true
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+ preprocessing_num_workers: 16
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+ push_to_db: true
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+ push_to_hub: true
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+ report_to: wandb
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+ role_tag: from
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+ run_name: qwen_7b_instruct_extra_verified
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+ save_strategy: epoch
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+ stage: sft
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+ system: system
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+ template: qwen25
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+ user_tag: user
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+ warmup_ratio: 0.1