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2ee384f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | {
"test_macro_f1_mean": 0.6937477912021662,
"test_macro_f1_std": 0.004536414285693068,
"test_macro_f1_text": "0.6937 ± 0.0045",
"test_accuracy_mean": 0.6952117863720074,
"test_accuracy_std": 0.003987225615950428,
"test_accuracy_text": "0.6952 ± 0.0040",
"test_macro_precision_mean": 0.6955007583676345,
"test_macro_precision_std": 0.0053962198757247,
"test_macro_precision_text": "0.6955 ± 0.0054",
"test_macro_recall_mean": 0.6935251566187915,
"test_macro_recall_std": 0.004259167819556978,
"test_macro_recall_text": "0.6935 ± 0.0043",
"dev_macro_f1_mean": 0.7248417464601334,
"dev_macro_f1_std": 0.00291168417848945,
"dev_macro_f1_text": "0.7248 ± 0.0029",
"task": "ViFactCheck-full-context",
"dataset": "ViFactCheck",
"model_key": "cafebert",
"model_name": "CafeBERT",
"base_model": "uitnlp/CafeBERT",
"seeds": [
22,
42,
202
],
"representative_seed": 202,
"selection_rule": "maximum development Macro-F1; seed ascending tie-break",
"split_policy": "merged_stratified_80_10_10",
"split_seed": 42,
"max_length": 256,
"epochs": 3,
"effective_batch_size": 8
} |