| { |
| "status": "completed", |
| "task": "ViFactCheck-gold-evidence", |
| "dataset": "ViFactCheck", |
| "model_key": "cafebert", |
| "model_name": "CafeBERT", |
| "model_id": "uitnlp/CafeBERT", |
| "base_revision": "af76fcf2a04096b2b54b348a3e4eb48253c93c5d", |
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| "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-gold-evidence/cafebert/seed-202/trainer_mb8_ga1/checkpoint-2172", |
| "best_metric": 0.883914762150928, |
| "best_model_dir": "/content/EACL_2027_ViFactCheck/runs_ml256_bs8_a10080_fast3/vifactcheck-gold-evidence/cafebert/seed-202/best_model", |
| "train_loss": 0.4858065441827089, |
| "wall_seconds": 1015.4132843017578, |
| "dev_accuracy": 0.8838174273858921, |
| "dev_macro_precision": 0.8854120879549728, |
| "dev_macro_recall": 0.8835663838347422, |
| "dev_macro_f1": 0.883914762150928, |
| "dev_weighted_f1": 0.8836976520867895, |
| "test_accuracy": 0.8922651933701657, |
| "test_macro_precision": 0.8969231895373805, |
| "test_macro_recall": 0.8912518863367233, |
| "test_macro_f1": 0.892466134634013, |
| "test_weighted_f1": 0.8923038164459657, |
| "completed_at_utc": "2026-07-23T12:39:51.113777+00:00" |
| } |
