nb-nordic-lid

NbAiLab/nb-nordic-lid

nb-nordic-lid is a text classification model from NbAiLab. Use it when you need a label for a piece of text. It is set up for fasttext. The card lists the license as openrail.

Downloads · 30 days

2% of all-time downloads

All-time downloads

3.5K

Public

Repo size

10.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin10.2 GB · 98%

At a glance

Task: Text Classification
Library: fasttext
License: openrail
Access: Public
Created: Nov 18, 2022
Updated: Oct 11, 2023
SHA: 12401f3e

Datasets

tatoeba

Spaces

NbAiLab/language-identification

Model card

From the Hugging Face model README

NB-NORDIC-LID

This repo contains models for the identification of language in text (also referred to as language detection). It is based on Fasttext and designed with the Nordic languages in mind, including several Sámi languages. It comes in two flavours, nb-nordic-lid, a model that identifies between the 12 most common languages in the Nordic countries (plus English), and nb-nordic-lid.159, a model that extends that list to 159 languages of the world. Moreover, each of them come in large and small (quantized) versions.

Model	Size	Precision	Recall	F1-Score	Support
`nb-nordic-lid.bin` (large)	274 MB	0.9901	0.9900	0.9900	5500
`nb-nordic-lid.ftz` (small)	1.87 MB	0.9889	0.9890	0.9890	5500
`nb-nordic-lid.159.bin` (large)	9.63 GB	0.9434	0.9528	0.9476	44049
`nb-nordic-lid.159.ftz` (small)	11.2 MB	0.9275	0.9399	0.9327	44049

Usage

After download, the models can be used through the Fasttext library:

from huggingface_hub import hf_hub_download
import fasttext

model_name = "nb-nordic-lid.ftz"
model = fasttext.load_model(hf_hub_download("NbAiLab/nb-nordic-lid", model_name))

model.predict("Debatt er bra og sunt for demokratier, og en forutsetning for politikkutvikling.", threshold=0.25)
# (('__label__nob',), array([0.95482141]))

Alternatively, these models are also integrated into the the experimental nbailab CLI application:

$ echo "Jeg leser en bok" | nbailab langid --model-name  nb-nordic-lid.ftz
nob,0.9999788999557495

Languages

`nb-nordic-lid.bin`

Trained on sentences from the GiellaT's Translation Memories and Wortschatz's corpora.

ISO-639-3	Language	Precision	Recall	F1-Score	Support
dan	Danish	0.9720	0.9838	0.9779	494
eng	English	0.9980	0.9940	0.9960	502
fao	Faroese	0.9920	0.9940	0.9930	499
fin	Finnish	1.0000	1.0000	1.0000	500
isl	Icelandic	0.9900	0.9920	0.9910	499
nno	Norwegian Nynorsk	0.9920	0.9861	0.9890	503
nob	Norwegian Bokmål	0.9840	0.9743	0.9791	505
sma	Southern Sami	0.9800	0.9703	0.9751	101
sme	Northern Sami	1.0000	0.9921	0.9960	504
smj	Lule Sami	0.9920	0.9960	0.9940	498
smn	Inari Sami	0.9950	1.0000	0.9975	199
sms	Skolt Sami	0.9900	0.9950	0.9925	199
swe	Swedish	0.9860	0.9920	0.9890	497
Accuracy				0.9905	5500
Weighted avg		0.9906	0.9905	0.9905	5500
Macro avg		0.9901	0.9900	0.9900	5500

`nb-nordic-lid.159.bin`

<details> <summary>Scores for the 159 languages</summary>

Additionally trained on sentences from Taoteba.

ISO-639-3	Language	Precision	Recall	F1-Score	Support
afr	Afrikaans	0.9634	0.9485	0.9558	194
ara	Arabic	0.9771	0.9533	0.9650	492
arq	Algerian Arabic	0.9478	0.9316	0.9397	117
arz	Egyptian Arabic	0.7193	0.8542	0.7810	48
asm	Assamese	0.9828	0.9884	0.9856	173
avk	Kotava	0.9895	0.9844	0.9869	192
aze	Azerbaijani	0.9707	0.9831	0.9768	236
bel	Belarusian	0.9864	0.9785	0.9825	372
ben	Bengali	0.9915	0.9873	0.9894	236
ber	Berber	0.8991	0.8507	0.8742	576
bos	Bosnian	0.1548	0.1781	0.1656	73
bre	Breton	0.9613	0.9681	0.9647	282
bua	Buryat	0.9333	0.9130	0.9231	46
bul	Bulgarian	0.9530	0.9660	0.9595	441
cat	Catalan	0.9604	0.9510	0.9557	306
cbk	Chavacano	0.9627	0.9923	0.9773	130
ceb	Cebuano	0.8974	0.9091	0.9032	77
ces	Czech	0.9684	0.9665	0.9675	508
chv	Chuvash	0.9878	0.9643	0.9759	84
ckb	Central Kurdish (Soranî)	0.9751	0.9944	0.9846	354
ckt	Chukchi	0.9615	1.0000	0.9804	25
cmn	Mandarin Chinese	0.9726	0.8674	0.9170	573
cor	Cornish	1.0000	0.9733	0.9864	187
csb	Kashubian	0.9787	1.0000	0.9892	46
cym	Welsh	0.9625	0.9625	0.9625	80
dan	Danish	0.9401	0.9345	0.9373	1007
deu	German	0.9908	0.9765	0.9836	553
dsb	Lower Sorbian	0.8704	0.8246	0.8468	57
dtp	Central Dusun	0.9161	0.9562	0.9357	137
ell	Greek	1.0000	0.9979	0.9989	476
eng	English	0.9914	0.9886	0.9900	1052
epo	Esperanto	0.9817	0.9853	0.9835	544
est	Estonian	0.9659	0.9770	0.9714	174
eus	Basque	0.9883	0.9585	0.9732	265
fao	Faroese	0.9840	0.9899	0.9870	497
fin	Finnish	0.9932	0.9817	0.9874	1041
fkv	Kven Finnish	0.5769	0.7500	0.6522	20
fra	French	0.9890	0.9890	0.9890	544
frr	North Frisian	0.9784	0.9784	0.9784	139
fry	Frisian	0.7419	0.9200	0.8214	25
gcf	Guadeloupean Creole French	0.9810	0.9904	0.9856	104
gla	Scottish Gaelic	0.9608	0.9800	0.9703	50
gle	Irish	0.9781	0.9853	0.9817	136
glg	Galician	0.9198	0.9330	0.9264	209
gos	Gronings	0.9631	0.9671	0.9651	243
grc	Ancient Greek	0.9828	1.0000	0.9913	57
grn	Guarani	0.9810	0.9936	0.9873	156
guc	Wayuu	0.9556	1.0000	0.9773	43
hau	Hausa	0.9930	0.9930	0.9930	431
heb	Hebrew	1.0000	1.0000	1.0000	536
hin	Hindi	1.0000	0.9974	0.9987	391
hoc	Ho	0.9143	1.0000	0.9552	32
hrv	Croatian	0.6085	0.5652	0.5861	253
hrx	Hunsrik	0.8727	0.9231	0.8972	52
hsb	Upper Sorbian	0.8533	0.8312	0.8421	77
hun	Hungarian	0.9853	0.9889	0.9871	541
hye	Armenian	1.0000	1.0000	1.0000	225
ido	Ido	0.9731	0.9560	0.9645	341
ile	Interlingue	0.9386	0.9450	0.9418	291
ilo	Ilocano	0.9917	0.9677	0.9796	124
ina	Interlingua	0.9602	0.9775	0.9688	444
ind	Indonesian	0.8550	0.8305	0.8426	419
isl	Icelandic	0.9874	0.9931	0.9902	869
ita	Italian	0.9835	0.9746	0.9791	552
jav	Javanese	0.9400	0.9792	0.9592	48
jbo	Lojban	1.0000	1.0000	1.0000	402
jpn	Japanese	0.9870	1.0000	0.9935	531
kab	Kabyle	0.8382	0.9012	0.8686	506
kat	Georgian	1.0000	0.9885	0.9942	260
kaz	Kazakh	0.9896	0.9896	0.9896	192
kha	Khasi	0.9038	0.9400	0.9216	100
khm	Khmer	1.0000	1.0000	1.0000	75
kmr	Northern Kurdish (Kurmancî)	0.9881	0.9793	0.9837	338
knc	Central Kanuri	0.9775	1.0000	0.9886	174
kor	Korean	1.0000	0.9806	0.9902	360
kzj	Coastal Kadazan	0.9744	0.9580	0.9661	238
lad	Ladino	0.8154	0.8281	0.8217	64
lat	Latin	0.9756	0.9677	0.9717	496
lfn	Lingua Franca Nova	0.9745	0.9768	0.9757	431
lij	Ligurian	0.9556	0.9556	0.9556	90
lin	Lingala	0.9859	0.9859	0.9859	213
lit	Lithuanian	0.9903	0.9942	0.9922	513
ltz	Luxembourgish	0.9773	0.9149	0.9451	47
lvs	Latvian	0.9732	0.9797	0.9764	148
lzh	Literary Chinese	0.7473	0.9444	0.8344	72
mal	Malayalam	1.0000	1.0000	1.0000	44
mar	Marathi	0.9961	1.0000	0.9980	509
mhr	Meadow Mari	0.9899	0.9801	0.9850	201
mkd	Macedonian	0.9630	0.9447	0.9538	524
mon	Mongolian	0.9781	0.9710	0.9745	138
mus	Muskogee (Creek)	0.9333	0.9655	0.9492	29
mya	Burmese	1.0000	1.0000	1.0000	27
nds	Low German (Low Saxon)	0.9829	0.9805	0.9817	410
nld	Dutch	0.9681	0.9810	0.9745	526
nnb	Nande	0.9896	0.9845	0.9870	387
nno	Norwegian Nynorsk	0.9551	0.9685	0.9617	571
nob	Norwegian Bokmål	0.9280	0.9168	0.9224	914
nst	Naga (Tangshang)	1.0000	1.0000	1.0000	39
nus	Nuer	0.9903	1.0000	0.9951	102
oci	Occitan	0.9795	0.9598	0.9696	249
orv	Old East Slavic	0.9846	1.0000	0.9922	64
oss	Ossetian	0.9891	0.9963	0.9927	272
ota	Ottoman Turkish	0.9469	0.9727	0.9596	110
pam	Kapampangan	0.9865	0.9733	0.9799	75
pcd	Picard	0.9552	0.9697	0.9624	66
pes	Persian	0.9934	0.9956	0.9945	454
pms	Piedmontese	0.9268	0.9744	0.9500	39
pol	Polish	0.9886	0.9886	0.9886	525
por	Portuguese	0.9669	0.9686	0.9677	542
prg	Old Prussian	0.9800	0.9608	0.9703	51
rhg	Rohingya	0.9890	1.0000	0.9945	180
rom	Romani	0.9535	0.8913	0.9213	46
ron	Romanian	0.9870	0.9785	0.9827	465
run	Kirundi	0.9871	0.9746	0.9808	236
rus	Russian	0.9671	0.9796	0.9733	540
sah	Yakut	1.0000	1.0000	1.0000	48
sat	Santali	1.0000	1.0000	1.0000	171
sdh	Southern Kurdish	0.9808	0.9107	0.9444	56
shi	Tashelhit	0.9779	0.9172	0.9466	145
slk	Slovak	0.9235	0.9421	0.9327	397
slv	Slovenian	0.7544	0.8958	0.8190	48
sma	Southern Sami	0.9600	0.9600	0.9600	100
sme	Northern Sami	1.0000	0.9901	0.9950	505
smj	Lule Sami	0.9860	1.0000	0.9930	493
smn	Inari Sami	0.9950	0.9950	0.9950	200
sms	Skolt Sami	0.9850	0.9899	0.9875	199
spa	Spanish	0.9779	0.9619	0.9698	551
sqi	Albanian	0.9683	0.9839	0.9760	124
srp	Serbian	0.8347	0.8313	0.8330	492
swc	Congo Swahili	0.8750	0.8594	0.8671	448
swe	Swedish	0.9809	0.9839	0.9824	991
swg	Swabian	0.9898	0.9604	0.9749	101
swh	Swahili	0.6946	0.7382	0.7157	191
tat	Tatar	0.9817	0.9843	0.9830	382
tgl	Tagalog	0.9830	0.9830	0.9830	412
tha	Thai	1.0000	1.0000	1.0000	220
thv	Tahaggart Tamahaq	0.7241	0.8400	0.7778	25
tig	Tigre	1.0000	1.0000	1.0000	181
tlh	Klingon	1.0000	1.0000	1.0000	439
tok	Toki Pona	1.0000	1.0000	1.0000	495
tpw	Old Tupi	0.8929	0.9615	0.9259	26
tuk	Turkmen	0.9890	0.9711	0.9800	277
tur	Turkish	0.9872	0.9659	0.9764	558
uig	Uyghur	0.9966	0.9933	0.9950	299
ukr	Ukrainian	0.9813	0.9850	0.9831	532
urd	Urdu	1.0000	0.9914	0.9957	116
uzb	Uzbek	0.8200	0.9762	0.8913	42
vie	Vietnamese	0.9977	0.9977	0.9977	426
vol	Volapük	0.9862	0.9908	0.9885	217
war	Waray	0.9505	0.9796	0.9648	98
wuu	Shanghainese	0.8364	0.9275	0.8796	193
xal	Kalmyk	0.9302	0.9756	0.9524	41
xmf	Mingrelian	0.7419	0.8519	0.7931	27
yid	Yiddish	0.9971	1.0000	0.9986	348
yue	Cantonese	0.9195	0.9877	0.9524	243
zgh	Standard Moroccan Tamazight	0.9873	0.9873	0.9873	158
zlm	Malay (Vernacular)	0.8605	0.9024	0.8810	82
zsm	Malay	0.7782	0.7921	0.7851	279
zza	Zaza	0.9294	0.9294	0.9294	85
Accuracy				0.9620	44049
Weighted avg		0.9627	0.9620	0.9621	44049
Macro avg		0.9434	0.9528	0.9476	44049

</details>

`nb-nordic-lid.ftz`

The small models are quantized versions of the large versions using a cutoff of 50,000 words and ngrams and quantizing the norm separately.

ISO-639-3	Language	Precision	Recall	F1-Score	Support
dan	Danish	0.9700	0.9838	0.9768	493
eng	English	0.9980	0.9940	0.9960	502
fao	Faroese	0.9920	0.9920	0.9920	500
fin	Finnish	1.0000	1.0000	1.0000	500
isl	Icelandic	0.9880	0.9920	0.9900	498
nno	Norwegian Nynorsk	0.9880	0.9841	0.9860	502
nob	Norwegian Bokmål	0.9860	0.9705	0.9782	508
sma	Southern Sami	0.9800	0.9703	0.9751	101
sme	Northern Sami	1.0000	0.9921	0.9960	504
smj	Lule Sami	0.9920	0.9940	0.9930	499
smn	Inari Sami	0.9950	1.0000	0.9975	199
sms	Skolt Sami	0.9850	0.9949	0.9899	198
swe	Swedish	0.9820	0.9899	0.9859	496
Accuracy				0.9895	5500
Weighted avg		0.9895	0.9895	0.9895	5500
Macro avg		0.9889	0.9890	0.9890	5500

`nb-nordic-lid.159.ftz`

<details> <summary>Scores for the 159 languages (compressed model)</summary>

ISO-639-3	Language	Precision	Recall	F1-Score	Support
afr	Afrikaans	0.9529	0.9333	0.9430	195
ara	Arabic	0.9708	0.9191	0.9443	507
arq	Algerian Arabic	0.8783	0.8783	0.8783	115
arz	Egyptian Arabic	0.5439	0.8378	0.6596	37
asm	Assamese	0.9828	0.9448	0.9634	181
avk	Kotava	0.9843	0.9792	0.9817	192
aze	Azerbaijani	0.9582	0.9828	0.9703	233
bel	Belarusian	0.9919	0.9683	0.9799	378
ben	Bengali	0.9574	0.9868	0.9719	228
ber	Berber	0.8495	0.7928	0.8202	584
bos	Bosnian	0.1429	0.2264	0.1752	53
bre	Breton	0.9507	0.9712	0.9609	278
bua	Buryat	0.9333	0.9333	0.9333	45
bul	Bulgarian	0.9351	0.9457	0.9404	442
cat	Catalan	0.9406	0.9406	0.9406	303
cbk	Chavacano	0.9552	0.9624	0.9588	133
ceb	Cebuano	0.8718	0.8500	0.8608	80
ces	Czech	0.9586	0.9548	0.9567	509
chv	Chuvash	1.0000	0.9647	0.9820	85
ckb	Central Kurdish (Soranî)	0.9640	0.9748	0.9694	357
ckt	Chukchi	0.9615	1.0000	0.9804	25
cmn	Mandarin Chinese	0.9667	0.8165	0.8853	605
cor	Cornish	0.9780	0.9674	0.9727	184
csb	Kashubian	0.9574	1.0000	0.9783	45
cym	Welsh	0.9625	0.9506	0.9565	81
dan	Danish	0.9281	0.9355	0.9318	993
deu	German	0.9853	0.9781	0.9817	549
dsb	Lower Sorbian	0.8889	0.8276	0.8571	58
dtp	Central Dusun	0.8741	0.9470	0.9091	132
ell	Greek	0.9958	0.9937	0.9947	476
eng	English	0.9886	0.9876	0.9881	1050
epo	Esperanto	0.9853	0.9818	0.9835	548
est	Estonian	0.9489	0.9766	0.9625	171
eus	Basque	0.9844	0.9583	0.9712	264
fao	Faroese	0.9780	0.9819	0.9800	498
fin	Finnish	0.9922	0.9724	0.9822	1050
fkv	Kven Finnish	0.5385	0.7368	0.6222	19
fra	French	0.9871	0.9728	0.9799	552
frr	North Frisian	0.9640	0.9640	0.9640	139
fry	Frisian	0.7097	0.8462	0.7719	26
gcf	Guadeloupean Creole French	0.9714	0.9808	0.9761	104
gla	Scottish Gaelic	0.9608	0.9608	0.9608	51
gle	Irish	0.9489	0.9924	0.9701	131
glg	Galician	0.8868	0.9082	0.8974	207
gos	Gronings	0.9426	0.9544	0.9485	241
grc	Ancient Greek	0.9483	0.9483	0.9483	58
grn	Guarani	0.9684	0.9935	0.9808	154
guc	Wayuu	0.9333	1.0000	0.9655	42
hau	Hausa	0.9861	0.9884	0.9872	430
heb	Hebrew	0.9981	0.9907	0.9944	540
hin	Hindi	0.9974	0.9898	0.9936	393
hoc	Ho	0.8571	1.0000	0.9231	30
hrv	Croatian	0.6766	0.5911	0.6310	269
hrx	Hunsrik	0.8545	0.9216	0.8868	51
hsb	Upper Sorbian	0.8400	0.8182	0.8289	77
hun	Hungarian	0.9816	0.9852	0.9834	541
hye	Armenian	1.0000	1.0000	1.0000	225
ido	Ido	0.9672	0.9501	0.9586	341
ile	Interlingue	0.9352	0.9547	0.9448	287
ilo	Ilocano	0.9917	0.9600	0.9756	125
ina	Interlingua	0.9580	0.9558	0.9569	453
ind	Indonesian	0.8231	0.8034	0.8131	417
isl	Icelandic	0.9805	0.9885	0.9845	867
ita	Italian	0.9817	0.9555	0.9684	562
jav	Javanese	0.9400	0.9792	0.9592	48
jbo	Lojban	1.0000	0.9975	0.9988	403
jpn	Japanese	0.9684	0.9981	0.9830	522
kab	Kabyle	0.7702	0.8516	0.8089	492
kat	Georgian	1.0000	0.9847	0.9923	261
kaz	Kazakh	0.9792	0.9843	0.9817	191
kha	Khasi	0.8942	0.9300	0.9118	100
khm	Khmer	1.0000	0.9868	0.9934	76
kmr	Northern Kurdish (Kurmancî)	0.9791	0.9647	0.9719	340
knc	Central Kanuri	0.9775	0.9943	0.9858	175
kor	Korean	0.9972	0.9778	0.9874	360
kzj	Coastal Kadazan	0.9658	0.9378	0.9516	241
lad	Ladino	0.7538	0.8033	0.7778	61
lat	Latin	0.9614	0.9594	0.9604	493
lfn	Lingua Franca Nova	0.9722	0.9611	0.9666	437
lij	Ligurian	0.8778	0.9753	0.9240	81
lin	Lingala	0.9859	0.9677	0.9767	217
lit	Lithuanian	0.9864	0.9864	0.9864	515
ltz	Luxembourgish	0.9773	0.9149	0.9451	47
lvs	Latvian	0.9597	0.9662	0.9630	148
lzh	Literary Chinese	0.6593	0.8108	0.7273	74
mal	Malayalam	1.0000	1.0000	1.0000	44
mar	Marathi	0.9902	0.9980	0.9941	507
mhr	Meadow Mari	0.9899	0.9752	0.9825	202
mkd	Macedonian	0.9397	0.9253	0.9324	522
mon	Mongolian	0.9781	0.9571	0.9675	140
mus	Muskogee (Creek)	0.9000	0.9643	0.9310	28
mya	Burmese	1.0000	1.0000	1.0000	27
nds	Low German (Low Saxon)	0.9829	0.9687	0.9757	415
nld	Dutch	0.9644	0.9735	0.9689	528
nnb	Nande	0.9870	0.9896	0.9883	384
nno	Norwegian Nynorsk	0.9499	0.9632	0.9565	571
nob	Norwegian Bokmål	0.9324	0.9073	0.9197	928
nst	Naga (Tangshang)	1.0000	0.9750	0.9873	40
nus	Nuer	0.9903	1.0000	0.9951	102
oci	Occitan	0.9631	0.9476	0.9553	248
orv	Old East Slavic	0.9538	0.9254	0.9394	67
oss	Ossetian	0.9818	0.9926	0.9872	271
ota	Ottoman Turkish	0.9204	0.9455	0.9327	110
pam	Kapampangan	0.9730	0.9600	0.9664	75
pcd	Picard	0.9254	0.9688	0.9466	64
pes	Persian	0.9846	0.9868	0.9857	454
pms	Piedmontese	0.9024	0.9487	0.9250	39
pol	Polish	0.9867	0.9885	0.9876	524
por	Portuguese	0.9595	0.9577	0.9586	544
prg	Old Prussian	0.9800	0.9423	0.9608	52
rhg	Rohingya	0.9835	0.9835	0.9835	182
rom	Romani	0.9302	0.8511	0.8889	47
ron	Romanian	0.9783	0.9762	0.9772	462
run	Kirundi	0.9871	0.9426	0.9644	244
rus	Russian	0.9561	0.9757	0.9658	536
sah	Yakut	0.9792	1.0000	0.9895	47
sat	Santali	0.9942	1.0000	0.9971	170
sdh	Southern Kurdish	0.8462	0.8627	0.8544	51
shi	Tashelhit	0.9706	0.8980	0.9329	147
slk	Slovak	0.9111	0.9318	0.9213	396
slv	Slovenian	0.7018	0.9302	0.8000	43
sma	Southern Sami	0.9500	0.9406	0.9453	101
sme	Northern Sami	1.0000	0.9843	0.9921	508
smj	Lule Sami	0.9840	0.9980	0.9909	493
smn	Inari Sami	0.9850	0.9949	0.9899	198
sms	Skolt Sami	0.9700	0.9848	0.9773	197
spa	Spanish	0.9613	0.9560	0.9586	545
sqi	Albanian	0.9603	0.9680	0.9641	125
srp	Serbian	0.8122	0.8106	0.8114	491
swc	Congo Swahili	0.8500	0.8367	0.8433	447
swe	Swedish	0.9759	0.9778	0.9768	992
swg	Swabian	0.9796	0.9320	0.9552	103
swh	Swahili	0.6650	0.7068	0.6853	191
tat	Tatar	0.9739	0.9816	0.9777	380
tgl	Tagalog	0.9709	0.9732	0.9721	411
tha	Thai	1.0000	1.0000	1.0000	220
thv	Tahaggart Tamahaq	0.6552	0.7600	0.7037	25
tig	Tigre	1.0000	1.0000	1.0000	181
tlh	Klingon	0.9977	0.9955	0.9966	440
tok	Toki Pona	1.0000	1.0000	1.0000	495
tpw	Old Tupi	0.8214	0.8846	0.8519	26
tuk	Turkmen	0.9779	0.9708	0.9744	274
tur	Turkish	0.9780	0.9604	0.9691	556
uig	Uyghur	0.9933	0.9900	0.9916	299
ukr	Ukrainian	0.9682	0.9700	0.9691	533
urd	Urdu	1.0000	0.9914	0.9957	116
uzb	Uzbek	0.8000	0.9756	0.8791	41
vie	Vietnamese	0.9977	0.9977	0.9977	426
vol	Volapük	0.9862	0.9817	0.9840	219
war	Waray	0.9208	0.9688	0.9442	96
wuu	Shanghainese	0.8037	0.9053	0.8515	190
xal	Kalmyk	0.9070	0.9512	0.9286	41
xmf	Mingrelian	0.6774	0.8400	0.7500	25
yid	Yiddish	0.9828	0.9942	0.9885	345
yue	Cantonese	0.8314	0.9688	0.8948	224
zgh	Standard Moroccan Tamazight	0.9873	0.9873	0.9873	158
zlm	Malay (Vernacular)	0.8488	0.8588	0.8538	85
zsm	Malay	0.7465	0.7544	0.7504	281
zza	Zaza	0.8824	0.9146	0.8982	82
Accuracy				0.9513	44049
Weighted avg		0.9529	0.9513	0.9518	44049
Macro avg		0.9275	0.9399	0.9327	44049

</details>

## Citing & Authors

The model was trained by Javier de la Rosa. Data was prepared by Per Egil Kummervold and Javier de la Rosa. Documentation written by Javier de la Rosa.

Task: Text Classification
Library: fasttext
License: openrail
Languages: dan, eng, fao, fin, isl, nno
Created: Nov 18, 2022
Updated: Oct 11, 2023