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qweninstruct2b_infer_result

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video-retrieval
evaluation
vllm
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Update README with metrics

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  1. README.md +4 -4
README.md CHANGED
@@ -12,16 +12,16 @@ tags:
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  - **Model**: `Qwen/Qwen3-VL-2B-Instruct`
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  - **Dataset**: `happy8825/activitynet_validset`
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- - **Generated**: `2025-12-11 21:38:54Z`
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  ## Metrics
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  | Metric | Value |
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  | --- | --- |
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  | Total samples | 4917 |
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  | With GT | 4917 |
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- | Parsed answers | 3222 |
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- | Top-1 accuracy | 0.235509 |
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- | Recall@5 | 0.235509 |
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  | MRR | 1 |
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  The uploaded JSON contains full per-sample predictions produced via `t3_infer_with_vllm.bash`.
 
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  - **Model**: `Qwen/Qwen3-VL-2B-Instruct`
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  - **Dataset**: `happy8825/activitynet_validset`
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+ - **Generated**: `2025-12-12 03:27:33Z`
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  ## Metrics
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  | Metric | Value |
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  | --- | --- |
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  | Total samples | 4917 |
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  | With GT | 4917 |
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+ | Parsed answers | 4876 |
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+ | Top-1 accuracy | 0.355705 |
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+ | Recall@5 | 0.355705 |
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  | MRR | 1 |
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  The uploaded JSON contains full per-sample predictions produced via `t3_infer_with_vllm.bash`.