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# model/tokenizer
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model_name: "EleutherAI/gpt-j-6B"
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tokenizer_name: "EleutherAI/gpt-j-6B"
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gradient_checkpointing: true
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save_name: "nomic-ai/gpt4all-gptj-multinode-deepspeed"
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# dataset
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streaming: false
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num_proc: 64
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dataset_path: "data_multiplus"
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max_length: 1024
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batch_size: 32
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# train dynamics
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lr: 2.0e-5
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min_lr: 0
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weight_decay: 0.0
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eval_every: 500
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eval_steps: 105
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save_every: 500
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log_grads_every: 500
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output_dir: "ckpts/gpt4all-gptj-multinode"
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2023-04-04 20:53:23 +00:00
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checkpoint: null
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lora: false
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warmup_steps: 500
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num_epochs: 4
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# logging
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wandb: true
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wandb_entity: vicuna
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wandb_project_name: vicuna
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seed: 42
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