rbryant19 commited on
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SVD merge: voiceover_v1 (0.40) + captioner_v2 (0.60) → rank 32

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README.md ADDED
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+ ---
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+ base_model: Qwen/Qwen2.5-VL-72B-Instruct
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+ library_name: peft
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+ pipeline_tag: image-text-to-text
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+ tags:
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+ - base_model:adapter:Qwen/Qwen2.5-VL-72B-Instruct
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+ - lora
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+ - transformers
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+ - orthopaedic-surgery
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+ - frame-captioning
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+ ---
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+
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+ # opscribe-captioner-ortho-tool-v2
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+
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+ SVD task arithmetic merge for Qwen2.5-VL-72B-Instruct surgical frame captioning.
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+
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+ | Adapter | Weight | Rank | Data |
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+ |---|---|---|---|
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+ | captioner_voiceover_v1 | 0.40 | 16 | Surgeon-narrated ortho voiceover dataset — general captioning |
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+ | captioner_v2 | 0.60 | 32 | Targeted v2 dataset (793 train) — priority-tool pass for mallet, reamer, Bovie, saw |
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+
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+ Merged to rank 32 (alpha=32, scale=1.0) via efficient thin-SVD task arithmetic.
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+
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+ ## Training Details
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+ - captioner_v2 best val_loss: 0.0963 (3 epochs)
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+ - Hardware: 4× NVIDIA H200, device_map=auto, bf16
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+ - LoRA targets: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
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+ {% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
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+ You are a helpful assistant.<|im_end|>
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