update model card README.md

README.md

@@ -1,6 +1,10 @@
 ---
+language:
+- all
 license: apache-2.0
 tags:
+- fleurs-lang_id
+- google/xtreme_s
 - generated_from_trainer
 datasets:
 - xtreme_s
@@ -16,10 +20,317 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xtreme_s_xlsr_300m_fleurs_langid_truncated
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the xtreme_s dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the GOOGLE/XTREME_S - FLEURS.ALL dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.7236
-- Loss: 1.3514
+- Epoch Af Za: 4.07
+- Epoch Am Et: 4.07
+- Epoch Ar Eg: 4.07
+- Epoch As In: 4.07
+- Epoch Ast Es: 4.07
+- Epoch Az Az: 4.07
+- Epoch Be By: 4.07
+- Epoch Bn In: 4.07
+- Epoch Bs Ba: 4.07
+- Epoch Ca Es: 4.07
+- Epoch Ceb Ph: 4.07
+- Epoch Cmn Hans Cn: 4.07
+- Epoch Cs Cz: 4.07
+- Epoch Cy Gb: 4.07
+- Epoch Da Dk: 4.07
+- Epoch De De: 4.07
+- Epoch El Gr: 4.07
+- Epoch En Us: 4.07
+- Epoch Es 419: 4.07
+- Epoch Et Ee: 4.07
+- Epoch Fa Ir: 4.07
+- Epoch Ff Sn: 4.07
+- Epoch Fi Fi: 4.07
+- Epoch Fil Ph: 4.07
+- Epoch Fr Fr: 4.07
+- Epoch Ga Ie: 4.07
+- Epoch Gl Es: 4.07
+- Epoch Gu In: 4.07
+- Epoch Ha Ng: 4.07
+- Epoch He Il: 4.07
+- Epoch Hi In: 4.07
+- Epoch Hr Hr: 4.07
+- Epoch Hu Hu: 4.07
+- Epoch Hy Am: 4.07
+- Epoch Id Id: 4.07
+- Epoch Ig Ng: 4.07
+- Epoch Is Is: 4.07
+- Epoch It It: 4.07
+- Epoch Ja Jp: 4.07
+- Epoch Jv Id: 4.07
+- Epoch Ka Ge: 4.07
+- Epoch Kam Ke: 4.07
+- Epoch Kea Cv: 4.07
+- Epoch Kk Kz: 4.07
+- Epoch Km Kh: 4.07
+- Epoch Kn In: 4.07
+- Epoch Ko Kr: 4.07
+- Epoch Ku Arab Iq: 4.07
+- Epoch Ky Kg: 4.07
+- Epoch Lb Lu: 4.07
+- Epoch Lg Ug: 4.07
+- Epoch Ln Cd: 4.07
+- Epoch Lo La: 4.07
+- Epoch Lt Lt: 4.07
+- Epoch Luo Ke: 4.07
+- Epoch Lv Lv: 4.07
+- Epoch Mi Nz: 4.07
+- Epoch Mk Mk: 4.07
+- Epoch Ml In: 4.07
+- Epoch Mn Mn: 4.07
+- Epoch Mr In: 4.07
+- Epoch Ms My: 4.07
+- Epoch Mt Mt: 4.07
+- Epoch My Mm: 4.07
+- Epoch Nb No: 4.07
+- Epoch Ne Np: 4.07
+- Epoch Nl Nl: 4.07
+- Epoch Nso Za: 4.07
+- Epoch Ny Mw: 4.07
+- Epoch Oci Fr: 4.07
+- Epoch Om Et: 4.07
+- Epoch Or In: 4.07
+- Epoch Pa In: 4.07
+- Epoch Pl Pl: 4.07
+- Epoch Ps Af: 4.07
+- Epoch Pt Br: 4.07
+- Epoch Ro Ro: 4.07
+- Epoch Ru Ru: 4.07
+- Epoch Rup Bg: 4.07
+- Epoch Sd Arab In: 4.07
+- Epoch Sk Sk: 4.07
+- Epoch Sl Si: 4.07
+- Epoch Sn Zw: 4.07
+- Epoch So So: 4.07
+- Epoch Sr Rs: 4.07
+- Epoch Sv Se: 4.07
+- Epoch Sw Ke: 4.07
+- Epoch Ta In: 4.07
+- Epoch Te In: 4.07
+- Epoch Tg Tj: 4.07
+- Epoch Th Th: 4.07
+- Epoch Tr Tr: 4.07
+- Epoch Uk Ua: 4.07
+- Epoch Umb Ao: 4.07
+- Epoch Ur Pk: 4.07
+- Epoch Uz Uz: 4.07
+- Epoch Vi Vn: 4.07
+- Epoch Wo Sn: 4.07
+- Epoch Xh Za: 4.07
+- Epoch Yo Ng: 4.07
+- Epoch Yue Hant Hk: 4.07
+- Epoch Zu Za: 4.07
+- Accuracy: 0.7271
+- Accuracy Af Za: 0.3865
+- Accuracy Am Et: 0.8818
+- Accuracy Ar Eg: 0.9977
+- Accuracy As In: 0.9858
+- Accuracy Ast Es: 0.8362
+- Accuracy Az Az: 0.8386
+- Accuracy Be By: 0.4085
+- Accuracy Bn In: 0.9989
+- Accuracy Bs Ba: 0.2508
+- Accuracy Ca Es: 0.6947
+- Accuracy Ceb Ph: 0.9852
+- Accuracy Cmn Hans Cn: 0.9799
+- Accuracy Cs Cz: 0.5353
+- Accuracy Cy Gb: 0.9716
+- Accuracy Da Dk: 0.6688
+- Accuracy De De: 0.7807
+- Accuracy El Gr: 0.7692
+- Accuracy En Us: 0.9815
+- Accuracy Es 419: 0.9846
+- Accuracy Et Ee: 0.5230
+- Accuracy Fa Ir: 0.8462
+- Accuracy Ff Sn: 0.2348
+- Accuracy Fi Fi: 0.9978
+- Accuracy Fil Ph: 0.9564
+- Accuracy Fr Fr: 0.9852
+- Accuracy Ga Ie: 0.8468
+- Accuracy Gl Es: 0.5016
+- Accuracy Gu In: 0.973
+- Accuracy Ha Ng: 0.9163
+- Accuracy He Il: 0.8043
+- Accuracy Hi In: 0.9354
+- Accuracy Hr Hr: 0.3654
+- Accuracy Hu Hu: 0.8044
+- Accuracy Hy Am: 0.9914
+- Accuracy Id Id: 0.9869
+- Accuracy Ig Ng: 0.9360
+- Accuracy Is Is: 0.0217
+- Accuracy It It: 0.8
+- Accuracy Ja Jp: 0.7385
+- Accuracy Jv Id: 0.5824
+- Accuracy Ka Ge: 0.8611
+- Accuracy Kam Ke: 0.4184
+- Accuracy Kea Cv: 0.8692
+- Accuracy Kk Kz: 0.8727
+- Accuracy Km Kh: 0.7030
+- Accuracy Kn In: 0.9630
+- Accuracy Ko Kr: 0.9843
+- Accuracy Ku Arab Iq: 0.9577
+- Accuracy Ky Kg: 0.8936
+- Accuracy Lb Lu: 0.8897
+- Accuracy Lg Ug: 0.9253
+- Accuracy Ln Cd: 0.9644
+- Accuracy Lo La: 0.1580
+- Accuracy Lt Lt: 0.4686
+- Accuracy Luo Ke: 0.9922
+- Accuracy Lv Lv: 0.6498
+- Accuracy Mi Nz: 0.9613
+- Accuracy Mk Mk: 0.7636
+- Accuracy Ml In: 0.6962
+- Accuracy Mn Mn: 0.8462
+- Accuracy Mr In: 0.3911
+- Accuracy Ms My: 0.3632
+- Accuracy Mt Mt: 0.6188
+- Accuracy My Mm: 0.9705
+- Accuracy Nb No: 0.6891
+- Accuracy Ne Np: 0.8994
+- Accuracy Nl Nl: 0.9093
+- Accuracy Nso Za: 0.8873
+- Accuracy Ny Mw: 0.4691
+- Accuracy Oci Fr: 0.1533
+- Accuracy Om Et: 0.9512
+- Accuracy Or In: 0.5447
+- Accuracy Pa In: 0.8153
+- Accuracy Pl Pl: 0.7757
+- Accuracy Ps Af: 0.8105
+- Accuracy Pt Br: 0.7715
+- Accuracy Ro Ro: 0.4122
+- Accuracy Ru Ru: 0.9794
+- Accuracy Rup Bg: 0.9468
+- Accuracy Sd Arab In: 0.5245
+- Accuracy Sk Sk: 0.8624
+- Accuracy Sl Si: 0.0300
+- Accuracy Sn Zw: 0.8843
+- Accuracy So So: 0.8803
+- Accuracy Sr Rs: 0.0257
+- Accuracy Sv Se: 0.0145
+- Accuracy Sw Ke: 0.9199
+- Accuracy Ta In: 0.9526
+- Accuracy Te In: 0.9788
+- Accuracy Tg Tj: 0.9883
+- Accuracy Th Th: 0.9912
+- Accuracy Tr Tr: 0.7887
+- Accuracy Uk Ua: 0.0627
+- Accuracy Umb Ao: 0.7863
+- Accuracy Ur Pk: 0.0134
+- Accuracy Uz Uz: 0.4014
+- Accuracy Vi Vn: 0.7246
+- Accuracy Wo Sn: 0.4555
+- Accuracy Xh Za: 1.0
+- Accuracy Yo Ng: 0.7353
+- Accuracy Yue Hant Hk: 0.7985
+- Accuracy Zu Za: 0.4696
+- Loss: 1.3789
+- Loss Af Za: 2.6778
+- Loss Am Et: 0.4615
+- Loss Ar Eg: 0.0149
+- Loss As In: 0.0764
+- Loss Ast Es: 0.4560
+- Loss Az Az: 0.5677
+- Loss Be By: 1.9231
+- Loss Bn In: 0.0024
+- Loss Bs Ba: 2.4954
+- Loss Ca Es: 1.2632
+- Loss Ceb Ph: 0.0426
+- Loss Cmn Hans Cn: 0.0650
+- Loss Cs Cz: 1.9334
+- Loss Cy Gb: 0.1274
+- Loss Da Dk: 1.4990
+- Loss De De: 0.8820
+- Loss El Gr: 0.9839
+- Loss En Us: 0.0827
+- Loss Es 419: 0.0516
+- Loss Et Ee: 1.9264
+- Loss Fa Ir: 0.6520
+- Loss Ff Sn: 5.4283
+- Loss Fi Fi: 0.0109
+- Loss Fil Ph: 0.1706
+- Loss Fr Fr: 0.0591
+- Loss Ga Ie: 0.5174
+- Loss Gl Es: 1.2657
+- Loss Gu In: 0.0850
+- Loss Ha Ng: 0.3234
+- Loss He Il: 0.8299
+- Loss Hi In: 0.4190
+- Loss Hr Hr: 2.9754
+- Loss Hu Hu: 0.8345
+- Loss Hy Am: 0.0329
+- Loss Id Id: 0.0529
+- Loss Ig Ng: 0.2523
+- Loss Is Is: 6.5153
+- Loss It It: 0.8113
+- Loss Ja Jp: 1.3968
+- Loss Jv Id: 2.0009
+- Loss Ka Ge: 0.6162
+- Loss Kam Ke: 2.2192
+- Loss Kea Cv: 0.5567
+- Loss Kk Kz: 0.5592
+- Loss Km Kh: 1.7358
+- Loss Kn In: 0.1063
+- Loss Ko Kr: 0.1519
+- Loss Ku Arab Iq: 0.2075
+- Loss Ky Kg: 0.4639
+- Loss Lb Lu: 0.4454
+- Loss Lg Ug: 0.3764
+- Loss Ln Cd: 0.1844
+- Loss Lo La: 3.8051
+- Loss Lt Lt: 2.5054
+- Loss Luo Ke: 0.0479
+- Loss Lv Lv: 1.3713
+- Loss Mi Nz: 0.1390
+- Loss Mk Mk: 0.7952
+- Loss Ml In: 1.2999
+- Loss Mn Mn: 0.7621
+- Loss Mr In: 3.7056
+- Loss Ms My: 3.0192
+- Loss Mt Mt: 1.5520
+- Loss My Mm: 0.1514
+- Loss Nb No: 1.1194
+- Loss Ne Np: 0.4231
+- Loss Nl Nl: 0.3291
+- Loss Nso Za: 0.5106
+- Loss Ny Mw: 2.7346
+- Loss Oci Fr: 5.0983
+- Loss Om Et: 0.2297
+- Loss Or In: 2.5432
+- Loss Pa In: 0.7753
+- Loss Pl Pl: 0.7309
+- Loss Ps Af: 1.0454
+- Loss Pt Br: 0.9782
+- Loss Ro Ro: 3.5829
+- Loss Ru Ru: 0.0598
+- Loss Rup Bg: 0.1695
+- Loss Sd Arab In: 2.6198
+- Loss Sk Sk: 0.5583
+- Loss Sl Si: 6.0923
+- Loss Sn Zw: 0.4465
+- Loss So So: 0.4492
+- Loss Sr Rs: 4.7575
+- Loss Sv Se: 6.5858
+- Loss Sw Ke: 0.4235
+- Loss Ta In: 0.1818
+- Loss Te In: 0.0808
+- Loss Tg Tj: 0.0912
+- Loss Th Th: 0.0462
+- Loss Tr Tr: 0.7340
+- Loss Uk Ua: 4.6777
+- Loss Umb Ao: 1.4021
+- Loss Ur Pk: 8.4067
+- Loss Uz Uz: 4.3297
+- Loss Vi Vn: 1.1304
+- Loss Wo Sn: 2.2281
+- Loss Xh Za: 0.0009
+- Loss Yo Ng: 1.3345
+- Loss Yue Hant Hk: 1.0728
+- Loss Zu Za: 3.7279
+- Predict Samples: 77960
 
 ## Model description