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43 lines
890 B
YAML
43 lines
890 B
YAML
model: unsloth/Qwen2.5-0.5B
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data:
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dataset: tatsu-lab/alpaca
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format_type: auto
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training:
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training_type: lora
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max_seq_length: 2048
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load_in_4bit: true
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output_dir: outputs
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num_epochs: 1
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learning_rate: 0.0002
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batch_size: 2
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gradient_accumulation_steps: 4
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warmup_steps: 5
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max_steps: 0
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save_steps: 0
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weight_decay: 0.001
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random_seed: 3407
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packing: false
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train_on_completions: false
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gradient_checkpointing: "unsloth"
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lora:
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lora_r: 64
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lora_alpha: 16
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lora_dropout: 0.0
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target_modules: "q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj"
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vision_all_linear: false
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use_rslora: false
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use_loftq: false
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finetune_vision_layers: true
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finetune_language_layers: true
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finetune_attention_modules: true
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finetune_mlp_modules: true
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logging:
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enable_wandb: false
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wandb_project: unsloth-training
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enable_tensorboard: false
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tensorboard_dir: runs
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