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Upload configs.yaml with huggingface_hub

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  1. configs.yaml +36 -0
configs.yaml ADDED
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+ assistant_tag: gpt
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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/dedup_ablation_sim_threshold_none
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+ dataset_dir: ONLINE
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+ ddp_timeout: '180000000'
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+ deepspeed: /opt/ml/code/zero3_offload.json
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+ do_train: 'True'
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+ enable_liger_kernel: 'True'
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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: '12'
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+ hub_model_id: mlfoundations-dev/dedup_ablation_sim_threshold_none
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+ learning_rate: 1e-05
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+ logging_steps: '1'
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+ lr_scheduler_type: cosine
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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: /opt/ml/model
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+ overwrite_cache: '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: dedup_ablation_sim_threshold_none
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+ save_strategy: epoch
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+ stage: sft
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+ template: qwen25
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+ user_tag: human
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+ warmup_ratio: '0.1'