Datasets:

happy8825
/

fp8_quantized

pretty_name: >-
  /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350-fp8 ·
  happy8825/valid_ecva_clean results
language:
  - en
tags:
  - video-retrieval
  - evaluation
  - vllm

/hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350-fp8 · happy8825/valid_ecva_clean results

Model: /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350-fp8
Dataset: happy8825/valid_ecva_clean
Generated: 2025-12-24 05:49:28Z

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	0.751082

Run Summary

Saved 924 results to /home/seohyun/vid_understanding/video_retrieval/video_retrieval/output_ecva/fp8_quantized.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": 0.7510822510822511
}
Pushed fp8_quantized.jsonl and README to https://huggingface.co/datasets/happy8825/fp8_quantized