mirror of https://github.com/razor-ai/soup.git
34 lines
691 B
YAML
34 lines
691 B
YAML
# Vision Fine-tuning Example
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# Train LLaMA-Vision on image-caption pairs
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# Uses LLaVA format (image + conversation)
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model: llama-vision-13b # LLaMA-3.2-Vision-90B or similar
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data:
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path: examples/data/vision_dataset.jsonl
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format: llava
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image_dir: examples/data/images/
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task: sft
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modality: vision
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backend: transformers
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quantization: int8
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lora_r: 128
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lora_alpha: 256
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lora_dropout: 0.1
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lora_target_modules:
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- q_proj
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- v_proj
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- k_proj
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- out_proj
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batch_size: 4
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gradient_accumulation_steps: 4
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num_epochs: 2
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learning_rate: 1e-4
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lr_scheduler_type: cosine
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warmup_ratio: 0.1
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weight_decay: 0.01
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max_seq_length: 4096
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output_dir: ./output_vision/
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seed: 42
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logging_steps: 10
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save_steps: 50
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