初始化项目,由ModelHub XC社区提供模型
Model: jbenbudd/ADPrLlama Source: Original Platform
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training_args.yaml
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38
training_args.yaml
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bf16: true
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cutoff_len: 2048
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dataset: adpr_train
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dataset_dir: data
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ddp_timeout: 180000000
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do_train: true
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eval_steps: 100
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eval_strategy: steps
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finetuning_type: lora
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flash_attn: auto
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gradient_accumulation_steps: 8
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include_num_input_tokens_seen: true
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learning_rate: 5.0e-05
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logging_steps: 5
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lora_alpha: 128
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lora_dropout: 0.01
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lora_rank: 64
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lora_target: q_proj,v_proj,k_proj,o_proj,gate_proj,down_proj,up_proj
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lr_scheduler_type: cosine
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max_grad_norm: 1.0
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max_samples: 100000
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model_name_or_path: GreatCaptainNemo/ProLLaMA
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num_train_epochs: 3.0
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optim: adamw_torch
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output_dir: saves/Custom/lora/train_2025-04-05-23-57-03
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packing: false
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per_device_eval_batch_size: 16
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per_device_train_batch_size: 16
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plot_loss: true
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preprocessing_num_workers: 16
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report_to: none
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resize_vocab: true
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save_steps: 100
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stage: sft
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template: alpaca
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trust_remote_code: true
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val_size: 0.1
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warmup_steps: 20
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