sedrickkeh
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Upload configs.yaml with huggingface_hub
Browse files- configs.yaml +47 -0
configs.yaml
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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'
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