precision recall f1-score support amh_Ethi 1.000 0.998 0.999 492 arb_Arab 0.988 0.997 0.993 1000 ayr_Latn 0.997 0.928 0.961 1000 bam_Latn 1.000 0.996 0.998 1000 bbj_Latn 1.000 0.994 0.997 1000 ben_Beng 0.000 0.000 0.000 0 bul_Cyrl 0.000 0.000 0.000 0 cat_Latn 0.988 0.971 0.979 1000 ces_Latn 0.996 0.994 0.995 1000 dan_Latn 0.985 0.980 0.982 1000 deu_Latn 0.993 0.989 0.991 1000 ell_Grek 1.000 1.000 1.000 1000 eng_Latn 0.763 0.980 0.858 1000 est_Latn 0.995 0.993 0.994 730 ewe_Latn 1.000 0.996 0.998 1000 fil_Latn 0.972 0.958 0.965 618 fin_Latn 0.996 0.997 0.997 1000 fon_Latn 0.998 0.999 0.999 1000 fra_Latn 0.975 0.990 0.983 1000 hau_Latn 0.989 0.998 0.994 1000 hun_Latn 0.999 0.984 0.991 1000 ibo_Latn 1.000 0.994 0.997 1000 ind_Latn 0.992 0.980 0.986 1000 ita_Latn 0.980 0.975 0.977 1000 jpn_Jpan 0.937 0.919 0.928 890 kaz_Cyrl 0.000 0.000 0.000 0 kor_Hang 1.000 0.991 0.996 675 lav_Latn 0.999 1.000 0.999 755 lin_Latn 0.000 0.000 0.000 0 lit_Latn 1.000 0.999 0.999 736 lug_Latn 0.999 0.996 0.997 1000 luo_Latn 0.997 0.998 0.998 1000 mkd_Cyrl 1.000 0.990 0.995 1000 mos_Latn 1.000 1.000 1.000 1000 nld_Latn 0.984 0.989 0.987 1000 orm_Latn 0.993 1.000 0.997 571 pcm_Latn 0.934 0.981 0.957 1000 pes_Arab 0.000 0.000 0.000 0 plt_Latn 0.997 0.992 0.994 1000 pol_Latn 0.995 0.986 0.990 1000 por_Latn 0.966 0.960 0.963 1000 ron_Latn 1.000 0.989 0.994 1000 run_Latn 0.981 0.998 0.990 583 rus_Cyrl 0.999 0.992 0.995 1000 sna_Latn 0.998 0.988 0.993 580 som_Latn 0.994 1.000 0.997 496 spa_Latn 0.897 0.985 0.939 1000 sqi_Latn 0.994 0.970 0.982 1000 srp_Cyrl 0.000 0.000 0.000 0 srp_Latn 0.993 0.989 0.991 1000 swa_Latn 0.512 0.551 0.531 1000 swe_Latn 0.993 0.980 0.986 1000 swh_Latn 0.517 0.474 0.495 1000 tet_Latn 0.000 0.000 0.000 0 tir_Ethi 1.000 1.000 1.000 300 tsn_Latn 1.000 1.000 1.000 1000 tur_Latn 0.999 0.994 0.996 1000 twi_Latn 1.000 1.000 1.000 1000 wol_Latn 1.000 0.999 0.999 1000 xho_Latn 0.996 0.633 0.774 411 yor_Latn 1.000 0.995 0.997 1000 zho_Hans 0.950 0.823 0.882 1000 zho_Hant 0.931 0.853 0.890 1000 zul_Latn 0.867 0.990 0.924 1000 accuracy 0.960 51837 macro avg 0.860 0.855 0.856 51837 weighted avg 0.963 0.960 0.961 51837