anton-l
/

xtreme_s_xlsr_300m_fleurs_asr_western_european

@@ -1,6 +1,10 @@
 ---
 license: apache-2.0
 tags:
 - generated_from_trainer
 model-index:
 - name: xtreme_s_xlsr_300m_fleurs_asr_western_european_nomask
@@ -12,11 +16,189 @@ should probably proofread and complete it, then remove this comment. -->
 # xtreme_s_xlsr_300m_fleurs_asr_western_european_nomask
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2572
-- Wer: 0.6278
-- Cer: 0.2394
 ## Model description

 ---
+language:
+- all
 license: apache-2.0
 tags:
+- fleurs-asr
+- google/xtreme_s
 - generated_from_trainer
 model-index:
 - name: xtreme_s_xlsr_300m_fleurs_asr_western_european_nomask
 # xtreme_s_xlsr_300m_fleurs_asr_western_european_nomask
+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:
+- Epoch Af Za: 20.0
+- Epoch Am Et: 20.0
+- Epoch Ar Eg: 20.0
+- Epoch As In: 20.0
+- Epoch Ast Es: 20.0
+- Epoch Az Az: 20.0
+- Epoch Be By: 20.0
+- Epoch Bn In: 20.0
+- Epoch Bs Ba: 20.0
+- Epoch Ca Es: 20.0
+- Epoch Ceb Ph: 20.0
+- Epoch Cmn Hans Cn: 20.0
+- Epoch Cs Cz: 20.0
+- Epoch Cy Gb: 20.0
+- Epoch Da Dk: 20.0
+- Epoch De De: 20.0
+- Epoch El Gr: 20.0
+- Epoch En Us: 20.0
+- Epoch Es 419: 20.0
+- Epoch Et Ee: 20.0
+- Epoch Fa Ir: 20.0
+- Epoch Ff Sn: 20.0
+- Epoch Fi Fi: 20.0
+- Epoch Fil Ph: 20.0
+- Epoch Fr Fr: 20.0
+- Epoch Ga Ie: 20.0
+- Epoch Gl Es: 20.0
+- Epoch Gu In: 20.0
+- Epoch Ha Ng: 20.0
+- Epoch He Il: 20.0
+- Epoch Hi In: 20.0
+- Epoch Hr Hr: 20.0
+- Epoch Hu Hu: 20.0
+- Epoch Hy Am: 20.0
+- Epoch Id Id: 20.0
+- Epoch Ig Ng: 20.0
+- Epoch Is Is: 20.0
+- Epoch It It: 20.0
+- Epoch Ja Jp: 20.0
+- Epoch Jv Id: 20.0
+- Epoch Ka Ge: 20.0
+- Epoch Kam Ke: 20.0
+- Epoch Kea Cv: 20.0
+- Epoch Kk Kz: 20.0
+- Epoch Km Kh: 20.0
+- Epoch Kn In: 20.0
+- Epoch Ko Kr: 20.0
+- Epoch Ku Arab Iq: 20.0
+- Epoch Ky Kg: 20.0
+- Epoch Lb Lu: 20.0
+- Epoch Lg Ug: 20.0
+- Epoch Ln Cd: 20.0
+- Epoch Lo La: 20.0
+- Epoch Lt Lt: 20.0
+- Epoch Luo Ke: 20.0
+- Epoch Lv Lv: 20.0
+- Epoch Mi Nz: 20.0
+- Epoch Mk Mk: 20.0
+- Epoch Ml In: 20.0
+- Epoch Mn Mn: 20.0
+- Epoch Mr In: 20.0
+- Epoch Ms My: 20.0
+- Epoch Mt Mt: 20.0
+- Epoch My Mm: 20.0
+- Epoch Nb No: 20.0
+- Epoch Ne Np: 20.0
+- Epoch Nl Nl: 20.0
+- Epoch Nso Za: 20.0
+- Epoch Ny Mw: 20.0
+- Epoch Oci Fr: 20.0
+- Epoch Om Et: 20.0
+- Epoch Or In: 20.0
+- Epoch Pa In: 20.0
+- Epoch Pl Pl: 20.0
+- Epoch Ps Af: 20.0
+- Epoch Pt Br: 20.0
+- Epoch Ro Ro: 20.0
+- Epoch Ru Ru: 20.0
+- Epoch Rup Bg: 20.0
+- Epoch Sd Arab In: 20.0
+- Epoch Sk Sk: 20.0
+- Epoch Sl Si: 20.0
+- Epoch Sn Zw: 20.0
+- Epoch So So: 20.0
+- Epoch Sr Rs: 20.0
+- Epoch Sv Se: 20.0
+- Epoch Sw Ke: 20.0
+- Epoch Ta In: 20.0
+- Epoch Te In: 20.0
+- Epoch Tg Tj: 20.0
+- Epoch Th Th: 20.0
+- Epoch Tr Tr: 20.0
+- Epoch Uk Ua: 20.0
+- Epoch Umb Ao: 20.0
+- Epoch Ur Pk: 20.0
+- Epoch Uz Uz: 20.0
+- Epoch Vi Vn: 20.0
+- Epoch Wo Sn: 20.0
+- Epoch Xh Za: 20.0
+- Epoch Yo Ng: 20.0
+- Epoch Yue Hant Hk: 20.0
+- Epoch Zu Za: 20.0
+- Cer: 0.2484
+- Cer Ast Es: 0.1598
+- Cer Bs Ba: 0.1749
+- Cer Ca Es: 0.1655
+- Cer Cy Gb: 0.2280
+- Cer Da Dk: 0.3616
+- Cer De De: 0.1287
+- Cer El Gr: 0.6020
+- Cer En Us: 0.1938
+- Cer Es 419: 0.1288
+- Cer Fi Fi: 0.2050
+- Cer Fr Fr: 0.1811
+- Cer Ga Ie: 0.4474
+- Cer Gl Es: 0.1324
+- Cer Hr Hr: 0.1555
+- Cer Hu Hu: 0.3911
+- Cer Is Is: 0.4646
+- Cer It It: 0.1283
+- Cer Kea Cv: 0.1818
+- Cer Lb Lu: 0.2594
+- Cer Mt Mt: 0.3628
+- Cer Nb No: 0.2254
+- Cer Nl Nl: 0.1790
+- Cer Oci Fr: 0.2159
+- Cer Pt Br: 0.2275
+- Cer Sv Se: 0.3092
+- Loss: 1.3089
+- Loss Ast Es: 0.7715
+- Loss Bs Ba: 0.7378
+- Loss Ca Es: 0.7868
+- Loss Cy Gb: 1.1441
+- Loss Da Dk: 1.9130
+- Loss De De: 0.5391
+- Loss El Gr: 3.4904
+- Loss En Us: 0.9632
+- Loss Es 419: 0.6186
+- Loss Fi Fi: 0.8953
+- Loss Fr Fr: 0.9076
+- Loss Ga Ie: 3.0217
+- Loss Gl Es: 0.5788
+- Loss Hr Hr: 0.6462
+- Loss Hu Hu: 1.9029
+- Loss Is Is: 2.6551
+- Loss It It: 0.6052
+- Loss Kea Cv: 0.9107
+- Loss Lb Lu: 1.3705
+- Loss Mt Mt: 2.3651
+- Loss Nb No: 1.1518
+- Loss Nl Nl: 0.8490
+- Loss Oci Fr: 1.1421
+- Loss Pt Br: 1.1641
+- Loss Sv Se: 1.5910
+- Wer: 0.6451
+- Wer Ast Es: 0.4654
+- Wer Bs Ba: 0.5443
+- Wer Ca Es: 0.4979
+- Wer Cy Gb: 0.5962
+- Wer Da Dk: 0.8455
+- Wer De De: 0.4221
+- Wer El Gr: 0.9805
+- Wer En Us: 0.4556
+- Wer Es 419: 0.3928
+- Wer Fi Fi: 0.8116
+- Wer Fr Fr: 0.4690
+- Wer Ga Ie: 0.8519
+- Wer Gl Es: 0.4245
+- Wer Hr Hr: 0.4895
+- Wer Hu Hu: 0.9099
+- Wer Is Is: 0.9960
+- Wer It It: 0.4415
+- Wer Kea Cv: 0.5202
+- Wer Lb Lu: 0.7225
+- Wer Mt Mt: 1.0096
+- Wer Nb No: 0.6541
+- Wer Nl Nl: 0.5257
+- Wer Oci Fr: 0.5770
+- Wer Pt Br: 0.6685
+- Wer Sv Se: 0.8546
+- Predict Samples: 20043
 ## Model description