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Update README with metrics
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metadata
pretty_name: >-
  /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350 ·
  happy8825/valid_ecva_clean results
language:
  - en
tags:
  - video-retrieval
  - evaluation
  - vllm

/hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350 · happy8825/valid_ecva_clean results

  • Model: /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350
  • Dataset: happy8825/valid_ecva_clean
  • Generated: 2026-01-08 11:28:44Z

Metrics

Metric Value
Total samples 924
With GT 0
Parsed answers 0
Top-1 accuracy 0
Recall@5 0
MRR 0

The uploaded JSON contains full per-sample predictions produced via t3_infer_with_vllm.bash.

EVQA/ECVA Metrics

Metric Value
EVQA total 924
EVQA with GT label 924
EVQA accuracy 0.731602

Run Summary

Saved 924 results to /home/seohyun/vid_understanding/video_retrieval/video_retrieval/output_ecva/experiment_bitsandbytes.json
Metrics: {
  "total": 924,
  "with_gt": 0,
  "with_parsed_answer": 0,
  "top1_acc": 0.0,
  "recall_at_5": 0.0,
  "mrr": 0.0,
  "num_shards": 1,
  "shard_index": 0,
  "evqa_total": 924,
  "evqa_with_gt_label": 924,
  "evqa_acc": 0.7316017316017316
}
Pushed experiment_bitsandbytes.jsonl and README to https://huggingface.co/datasets/happy8825/experiment_bitsandbytes