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Upload configs.yaml with huggingface_hub

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  1. configs.yaml +45 -0
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ bf16: true
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+ cutoff_len: 2048
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+ dataset: mlfoundations-dev/oh_v3-1_only_caseus_custom
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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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+ enable_liger_kernel: false
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+ eval_strategy: epoch
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+ finetuning_type: full
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+ formatting: sharegpt
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+ global_batch_size: 512
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+ gradient_accumulation_steps: 32
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+ gradient_checkpointing: true
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+ hub_model_id: mlfoundations-dev/oh_v3-1_only_caseus_custom
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+ include_hp: dcft/train/hp_settings/hritik.yaml
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+ learning_rate: 5.0e-06
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+ logging_steps: 10
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+ lr_scheduler_type: constant
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+ max_grad_norm: 1
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+ messages: conversations
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+ model_name_or_path: meta-llama/Meta-Llama-3.1-8B
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+ neat_packing: true
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+ num_train_epochs: 3.0
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+ output_dir: experiments/train/checkpoints/oh_v3-1_only_caseus_custom
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+ overwrite_cache: true
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+ overwrite_output_dir: true
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+ packing: true
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+ per_device_eval_batch_size: 2
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+ per_device_train_batch_size: 2
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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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+ run_name: oh_v3-1_only_caseus_custom
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+ save_strategy: epoch
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+ stage: sft
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+ template: llama3
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+ val_size: 0.05
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+ warmup_ratio: 0.1
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+ warmup_steps: 1738
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+ weight_decay: 0.1