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output path: zeronlg-4langs-vc/evaluations_caption/vatex/en
Creating model from zeronlg-4langs-vc
Evaluation settings: {'lang': 'en', 'num_beams': 3, 'max_length': 20, 'min_length': 3, 'repetition_penalty': 1.0}
Load dataset from data/annotations/vatex/en/test.json
Load CLIP embs from data/annotations/vatex/clip-ViT-B-32_test.pkl
There are 5792 vision inputs
Save caption results to zeronlg-4langs-vc/evaluations_caption/vatex/en/test_captions.json
Save detailed scores to zeronlg-4langs-vc/evaluations_caption/vatex/en/test_detailed_scores.json
Save scores to zeronlg-4langs-vc/evaluations_caption/vatex/en/test_scores.json
[test] Bleu_1 0.42168940639806163
[test] Bleu_2 0.24590583953294565
[test] Bleu_3 0.12531948515900065
[test] Bleu_4 0.06335825765892944
[test] METEOR 0.1165194842146988
[test] ROUGE_L 0.2934526708651432
[test] CIDEr 0.09084566361351876
[test] SPICE 0.03951599733101809