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feat: full model config
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model_name: "zpn/llama-7b"
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tokenizer_name: "zpn/llama-7b"
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gradient_checkpointing: true
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save_name: "nomic-ai/vicuna-full-multi-turn"
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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.jsonl"
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max_length: 512
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dataset_path: "data_multiturn"
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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: 5.0e-5
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eval_every: 2000
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eval_every: 800
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eval_steps: 100
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save_every: 2000
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output_dir: "ckpts/llama-7b"
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save_every: 800
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output_dir: "ckpts/llama-7b-full-multi"
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checkpoint: null
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lora: false
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warmup_steps: 100
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num_epochs: 2
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# logging
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wandb: false
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wandb_entity: zanussbaum
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wandb_project: llama
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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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