62 lines
1.5 KiB
YAML
62 lines
1.5 KiB
YAML
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top.adapter_path: []
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top.booster: flashattn2
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top.finetuning_type: lora
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top.model_name: LLaMA3-8B-Chat
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top.quantization_bit: none
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top.rope_scaling: none
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top.template: alpaca
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top.visual_inputs: false
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train.additional_target: ''
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train.badam_mode: layer
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train.badam_switch_interval: 50
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train.badam_switch_mode: ascending
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train.badam_update_ratio: 0.05
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train.batch_size: 2
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train.compute_type: bf16
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train.create_new_adapter: false
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train.cutoff_len: 1024
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train.dataset:
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- KSPDG-LLaMA-3-Alpaca-50
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train.dataset_dir: data
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train.freeze_extra_modules: ''
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train.freeze_trainable_layers: 2
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train.freeze_trainable_modules: all
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train.galore_rank: 16
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train.galore_scale: 0.25
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train.galore_target: all
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train.galore_update_interval: 200
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train.gradient_accumulation_steps: 2
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train.learning_rate: 1e-4
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train.logging_steps: 5
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train.lora_alpha: 8
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train.lora_dropout: 0.05
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train.lora_rank: 16
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train.lora_target: ''
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train.loraplus_lr_ratio: 0
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train.lr_scheduler_type: cosine
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train.max_grad_norm: '1'
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train.max_samples: '100000'
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train.neftune_alpha: 0
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train.num_train_epochs: '3.0'
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train.optim: adamw_8bit
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train.packing: false
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train.ppo_score_norm: false
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train.ppo_whiten_rewards: false
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train.pref_beta: 0.1
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train.pref_ftx: 0
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train.pref_loss: sigmoid
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train.report_to: true
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train.resize_vocab: false
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train.reward_model: null
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train.save_steps: 100
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train.shift_attn: false
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train.training_stage: Supervised Fine-Tuning
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train.upcast_layernorm: false
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train.use_badam: false
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train.use_dora: true
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train.use_galore: false
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train.use_llama_pro: false
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train.use_rslora: false
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train.val_size: 0.01
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train.warmup_steps: 0
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