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