cafebert-ViFactCheck-FC / artifacts /seed_22_run_metadata.json
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{
"status": "completed",
"task": "ViFactCheck-full-context",
"dataset": "ViFactCheck",
"model_key": "cafebert",
"model_name": "CafeBERT",
"model_id": "uitnlp/CafeBERT",
"base_revision": "af76fcf2a04096b2b54b348a3e4eb48253c93c5d",
"seed": 22,
"split_seed": 42,
"smoke_test": false,
"epochs": 3,
"num_labels": 3,
"max_length": 256,
"micro_batch_size": 8,
"gradient_accumulation_steps": 1,
"effective_batch_size": 8,
"pair_truncation": "only_second",
"per_device_eval_batch_size": 8,
"bf16": true,
"tf32": true,
"text_mode_resolved": "raw",
"tokenizer_class": "XLMRobertaTokenizer",
"model_class": "XLMRobertaForSequenceClassification",
"model_type": "xlm-roberta",
"best_checkpoint": "/content/EACL_2027_ViFactCheck/runs_ml256_bs8_a10080_fast3/vifactcheck-full-context/cafebert/seed-22/trainer_mb8_ga1/checkpoint-2172",
"best_metric": 0.7245918187094658,
"best_model_dir": "/content/EACL_2027_ViFactCheck/runs_ml256_bs8_a10080_fast3/vifactcheck-full-context/cafebert/seed-22/best_model",
"train_loss": 0.6345552616576025,
"wall_seconds": 717.7517776489258,
"dev_accuracy": 0.7247579529737206,
"dev_macro_precision": 0.7294946271651498,
"dev_macro_recall": 0.7243844563690952,
"dev_macro_f1": 0.7245918187094658,
"dev_weighted_f1": 0.7257603436758917,
"test_accuracy": 0.6975138121546961,
"test_macro_precision": 0.6991543296736428,
"test_macro_recall": 0.6961205232010511,
"test_macro_f1": 0.6960405499176284,
"test_weighted_f1": 0.6979188795617406,
"completed_at_utc": "2026-07-23T11:39:18.602131+00:00"
}