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SamChen567/VideoBenchEval-results

phase3_qbase_full_hybrid_lr1e-5:評測與 ablation 結果 截至 2026-10-23(UTC+8)。模型:SamChen567/phase3_qbase_full_hybrid_lr1e-5。評測程式快照在 code/(VideoBenchEval:vbe/infer.py 主評測、vbe/ablate.py ablation)。 三個 benchmark 全集:Video-MME(2,700 題,無字幕)、MLVU dev(2,174 題)、LongVideoBench val(1,337 題)。每支影片的 LLM 端 vision token 預算 B = 1k / 2k / 4k / 8k / 16k。官方 VideoLLaMA3 prompt 與答案解析,greedy、16 個新 token。所有 run 皆完整,無錯誤。 結論 qbase 的價值在高壓縮率。 切段和預算都不變,只把每個壓縮段換成「選一幀再 resize / merge」:1k、2k 時 Video-MME… See the full description on the dataset page: https://huggingface.co/datasets/SamChen567/VideoBenchEval-results.

Author / organizationSamChen567
License (as declared)other
Downloads323 (as reported by Hugging Face)
Likes1
Created22 October 2026
Last updated at source23 October 2026
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