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+ ======================================================================
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+ MODEL 4.2: XLM-RoBERTa with Data Augmentation
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+ ======================================================================
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+ Date: 2025-12-25 16:18:05
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+
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+ SPECIFICATION:
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+ Model: xlm-roberta-large
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+ Batch Size: 8 (Grad Accum: 2)
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+ Learning Rate: 1e-05
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+ Max Length: 128
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+ Epochs: 3/5
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+ Seed: 42
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+ Augmentation: Yes (Target minority 5%)
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+
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+ DATA AUGMENTATION:
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+ Original train size: 15699
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+ Augmented train size: 16156
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+ Samples added: 457
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+
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+ TEST RESULTS:
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+ Macro F1: 0.6822
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+ Weighted F1: 0.7843
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+ Accuracy: 0.7832
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+
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+ TRAINING TIME:
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+ Total: 81.88 minutes
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+ Per epoch: 982.5s