109 lines
No EOL
3.3 KiB
YAML
109 lines
No EOL
3.3 KiB
YAML
experiment:
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name: "progressive_reasoning_gemma3_1b_8gpu_ddp"
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base_model: "google/gemma-3-1b-pt"
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output_dir: "./outputs"
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use_wandb: true
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wandb_project: "matsuo-llm-comp-2025"
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model:
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load_in_4bit: true # Enable quantization for memory savings
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bnb_4bit_compute_dtype: "bfloat16"
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bnb_4bit_use_double_quant: true
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device_map: "balanced" # Distribute across all GPUs
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gradient_checkpointing: true # Enable gradient checkpointing
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use_flash_attention_2: false
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use_eager_attention: true
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# Multi-GPU specific settings
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distributed:
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strategy: "ddp" # Distributed Data Parallel
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find_unused_parameters: false
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gradient_as_bucket_view: true
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progressive_stages:
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- name: "basic_cot"
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description: "Basic Chain-of-Thought reasoning"
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dataset_path: "./data/basic_cot/"
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adapter_config:
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r: 8 # Minimal rank for memory
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lora_alpha: 16
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lora_dropout: 0.1
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target_modules: ["q_proj", "k_proj", "v_proj", "o_proj"]
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init_lora_weights: true
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training:
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num_epochs: 2
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per_device_batch_size: 1 # 1 * 8 = 8 total batch size (minimal)
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gradient_accumulation_steps: 8 # Maintain effective batch size
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learning_rate: 5e-4
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warmup_steps: 100
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max_length: 512 # Reduced sequence length
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bf16: true
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max_grad_norm: 1.0
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weight_decay: 0.001
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save_steps: 50
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logging_steps: 10
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dataloader_num_workers: 2
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dataloader_pin_memory: false
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- name: "math_reasoning"
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description: "Mathematical reasoning with OpenR1-Math-220k dataset"
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dataset_path: "open-r1/OpenR1-Math-220k"
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inherit_from: "basic_cot"
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adapter_config:
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r: 8 # Minimal rank for memory
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lora_alpha: 16
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lora_dropout: 0.1
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target_modules: ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"]
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init_lora_weights: true
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training:
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num_epochs: 1
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per_device_batch_size: 1 # 1 * 8 = 8 total batch size (minimal)
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gradient_accumulation_steps: 4
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learning_rate: 3e-4
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warmup_steps: 200
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max_length: 1024 # Reduced sequence length
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bf16: true
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max_grad_norm: 1.0
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weight_decay: 0.001
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save_steps: 100
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logging_steps: 20
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dataloader_num_workers: 2
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dataset_config:
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streaming: true
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max_samples: 400000 # Process substantial data
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split: "train"
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- name: "complex_reasoning"
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description: "Complex multi-step reasoning with Mixture-of-Thoughts"
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dataset_path: "open-r1/Mixture-of-Thoughts"
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inherit_from: "math_reasoning"
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adapter_config:
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r: 8 # Minimal rank for memory
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lora_alpha: 16
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lora_dropout: 0.1
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target_modules: ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"]
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init_lora_weights: true
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training:
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num_epochs: 1
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per_device_batch_size: 1 # 1 * 8 = 8 total batch size (minimal)
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gradient_accumulation_steps: 2
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learning_rate: 2e-4
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warmup_steps: 300
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max_length: 1024 # Reduced sequence length
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bf16: true
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max_grad_norm: 1.0
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weight_decay: 0.001
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save_steps: 200
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logging_steps: 50
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dataloader_num_workers: 2
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dataset_config:
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streaming: true
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max_samples: 600000
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split: "train"
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evaluation:
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benchmarks:
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- "HLE"
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- "Do-Not-Answer"
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save_results: true
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results_dir: "./outputs/evaluation_results" |