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Upload configs.yaml with huggingface_hub

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  1. configs.yaml +47 -0
configs.yaml ADDED
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+ adam_beta1: '0.9'
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+ adam_beta2: '0.999'
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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: '2048'
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+ dataset: mlfoundations-dev/oh-dcft-v3-llama3.1-nemotron-70b_shareGPT_format
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+ dataset_dir: ONLINE
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+ ddp_timeout: '180000000'
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+ deepspeed: /opt/ml/code/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: '4096'
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+ gradient_accumulation_steps: '8'
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+ gradient_checkpointing: 'True'
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+ hub_model_id: mlfoundations-dev/hp_ablations_grid_mistral_bsz4096_lr2e-6_scheduler-cosine-warmup0.05-minlr5e-7
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+ learning_rate: 2e-06
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+ logging_steps: '10'
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+ lr_scheduler_kwargs: min_lr=5e-07
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+ lr_scheduler_type: cosine_with_min_lr
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+ max_grad_norm: '1'
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+ messages: conversations
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+ model_name_or_path: mistralai/Mistral-7B-v0.1
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+ neat_packing: 'True'
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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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+ overwrite_output_dir: 'True'
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+ packing: 'True'
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+ per_device_train_batch_size: '8'
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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: hp_ablations_grid_mistral_bsz4096_lr2e-6_scheduler-cosine-warmup0.05-minlr5e-7
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+ save_strategy: epoch
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+ stage: sft
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+ template: mistral
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+ user_tag: human
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+ val_size: '0.05'
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+ warmup_ratio: '0.05'
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+ weight_decay: '0.1'