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Update /home/fit02/dien-workspace/absa/output/infoxlmL-2asloss-Res-top2

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best_model.ckpt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0ab5177d7af2eac65b504b0cf831c5b868fd38bd2806c18beeb5c13e6032c6f8
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+ size 6712302535
log.txt ADDED
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+
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+ Correct Answer Aspects: [202, 40, 176, 78, 104, 513, 374, 92, 192, 100, 98, 286]
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+ Correct Answer Labels: [181, 30, 145, 59, 94, 452, 305, 69, 163, 86, 85, 256]
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+
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+
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+ Evaluation Results for MICRO:
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+ Mean Precision: 89.98
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+ Mean Recall: 85.77
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+ Mean F1: 87.83
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+ ---------------------------------------------
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+
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+
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+ Evaluation Results for MICRO:
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+ Mean Precision: 76.82
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+ Mean Recall: 73.22
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+ Mean F1: 74.98
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+ ---------------------------------------------
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+
test_gold.txt ADDED
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test_predictions.txt ADDED
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version_0/hparams.yaml ADDED
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+ num_aspects: 12
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+ model_name: microsoft/infoxlm-large
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+ output_dir: /home/fit02/dien-workspace/absa/output/infoxlmL-2asloss-Res-top2-1
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+ lambda_contrastive: 0.2
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+ learning_rate: 2.0e-05
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+ topk_layer: 2
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