Datasets:

AITeamUIT
/

eval-gliner2-ner-mit_restaurant-lossablation

dataset string	dataset_repo string	n_labels int64	labels list	base_model string	eval_split string	configs dict	seeds list	eval_flags string	epochs int64	batch_size int64	patience int64	max_train_samples null	max_val_samples null	runs dict	summary_table list	generated_at timestamp[s]
mit_restaurant	quynong/mit_restaurant	8	[ "Rating", "Amenity", "Location", "Restaurant_Name", "Price", "Hours", "Dish", "Cuisine" ]	fastino/gliner2-multi-v1	test	{ "bce": "", "focal": "--loss focal --loss-gamma 2.0 --loss-alpha 0.25", "eiou": "--loss eiou --loss-alpha 0.25", "focal_eiou": "--loss focal_eiou --loss-mix 0.5", "margin": "--loss margin --loss-margin 0.15" }	[ 42, 43, 44 ]	--threshold 0.7 --use-desc --schema-case original --no-extra-val	6	16	2	null	null	{ "bce-seed42": { "status": "ok", "config": "bce", "seed": 42, "repo": "AITeamUIT/gliner2-ner-mit_restaurant-bce-seed42", "train_flags": "(bce mac dinh)", "eval_flags": "--threshold 0.7 --use-desc --schema-case original --no-extra-val", "epochs": 6, "batch_size": 16, "patience": 2,...	[ { "mode": "lenient", "config": "bce", "n_seeds": 3, "micro_f1_mean": 88.69, "micro_f1_std": 0.2, "macro_f1_mean": 87.9, "macro_f1_std": 0.17, "micro_p_mean": 91.35, "micro_r_mean": 86.17, "micro_f1": "88.69 +/- 0.20", "macro_f1": "87.90 +/- 0.17" }, { "mode": "len...	2026-08-20T07:43:19

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Check out the documentation for more information.

mit_restaurant — loss ablation (5 config x 3 seed)

base model: fastino/gliner2-multi-v1
dataset: quynong/mit_restaurant (8 nhan), eval tren split test
train: 6 epochs, batch 16, early-stopping patience 2, seeds [42, 43, 44]
eval: --threshold 0.7 --use-desc --schema-case original --no-extra-val (giong nhau cho ca 5 config)

mode	config	n seeds	micro F1	macro F1	micro P	micro R
lenient	bce	3	88.69 +/- 0.20	87.90 +/- 0.17	91.35	86.17
lenient	focal	3	69.08 +/- 7.37	64.26 +/- 9.70	97.02	54.03
lenient	eiou	3	89.31 +/- 0.13	88.48 +/- 0.04	89.02	89.6
lenient	focal_eiou	3	87.50 +/- 1.13	86.65 +/- 1.46	92.23	83.25
lenient	margin	3	88.46 +/- 0.59	87.42 +/- 1.01	91.39	85.72
strict	bce	3	82.73 +/- 0.26	81.90 +/- 0.10	85.22	80.39
strict	focal	3	66.97 +/- 7.17	62.27 +/- 9.33	94.06	52.37
strict	eiou	3	82.73 +/- 0.03	81.99 +/- 0.16	82.46	83.0
strict	focal_eiou	3	81.96 +/- 1.09	80.98 +/- 1.39	86.39	77.99
strict	margin	3	82.33 +/- 0.42	81.22 +/- 0.78	85.07	79.78

bce-seed42 -> AITeamUIT/gliner2-ner-mit_restaurant-bce-seed42 (lenient micro F1 88.88)
bce-seed43 -> AITeamUIT/gliner2-ner-mit_restaurant-bce-seed43 (lenient micro F1 88.49)
bce-seed44 -> AITeamUIT/gliner2-ner-mit_restaurant-bce-seed44 (lenient micro F1 88.69)
focal-seed42 -> AITeamUIT/gliner2-ner-mit_restaurant-focal-seed42 (lenient micro F1 76.86)
focal-seed43 -> AITeamUIT/gliner2-ner-mit_restaurant-focal-seed43 (lenient micro F1 68.18)
focal-seed44 -> AITeamUIT/gliner2-ner-mit_restaurant-focal-seed44 (lenient micro F1 62.20)
eiou-seed42 -> AITeamUIT/gliner2-ner-mit_restaurant-eiou-seed42 (lenient micro F1 89.40)
eiou-seed43 -> AITeamUIT/gliner2-ner-mit_restaurant-eiou-seed43 (lenient micro F1 89.37)
eiou-seed44 -> AITeamUIT/gliner2-ner-mit_restaurant-eiou-seed44 (lenient micro F1 89.16)
focal_eiou-seed42 -> AITeamUIT/gliner2-ner-mit_restaurant-focal_eiou-seed42 (lenient micro F1 88.51)
focal_eiou-seed43 -> AITeamUIT/gliner2-ner-mit_restaurant-focal_eiou-seed43 (lenient micro F1 87.70)
focal_eiou-seed44 -> AITeamUIT/gliner2-ner-mit_restaurant-focal_eiou-seed44 (lenient micro F1 86.28)
margin-seed42 -> AITeamUIT/gliner2-ner-mit_restaurant-margin-seed42 (lenient micro F1 89.03)
margin-seed43 -> AITeamUIT/gliner2-ner-mit_restaurant-margin-seed43 (lenient micro F1 88.48)
margin-seed44 -> AITeamUIT/gliner2-ner-mit_restaurant-margin-seed44 (lenient micro F1 87.86)

generated 2026-08-20T07:43:19