Luganda-new
Collection
21 items
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Updated
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1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
3.5679 | 1.0 | 323 | 2.9514 | 1.0 | 1.0 |
2.5224 | 2.0 | 646 | 1.7053 | 0.9999 | 0.4763 |
1.4334 | 3.0 | 969 | 1.1452 | 0.9583 | 0.3166 |
1.0482 | 4.0 | 1292 | 0.9311 | 0.9226 | 0.2494 |
0.8469 | 5.0 | 1615 | 0.8079 | 0.8120 | 0.2106 |
0.7281 | 6.0 | 1938 | 0.7611 | 0.7556 | 0.1940 |
0.6241 | 7.0 | 2261 | 0.7285 | 0.7212 | 0.1837 |
0.5515 | 8.0 | 2584 | 0.7075 | 0.6836 | 0.1712 |
0.5013 | 9.0 | 2907 | 0.6871 | 0.6607 | 0.1663 |
0.4455 | 10.0 | 3230 | 0.6718 | 0.6645 | 0.1683 |
0.402 | 11.0 | 3553 | 0.6832 | 0.6510 | 0.1664 |
0.3728 | 12.0 | 3876 | 0.7118 | 0.6209 | 0.1555 |
0.343 | 13.0 | 4199 | 0.6664 | 0.6202 | 0.1539 |
0.32 | 14.0 | 4522 | 0.7267 | 0.6122 | 0.1532 |
0.2951 | 15.0 | 4845 | 0.7404 | 0.5956 | 0.1503 |
0.2775 | 16.0 | 5168 | 0.7633 | 0.6080 | 0.1498 |
0.2615 | 17.0 | 5491 | 0.7444 | 0.5962 | 0.1496 |
0.244 | 18.0 | 5814 | 0.7332 | 0.6077 | 0.1493 |
0.2299 | 19.0 | 6137 | 0.7597 | 0.5839 | 0.1443 |
0.2179 | 20.0 | 6460 | 0.7834 | 0.5972 | 0.1482 |
0.2108 | 21.0 | 6783 | 0.7985 | 0.5922 | 0.1502 |
0.2008 | 22.0 | 7106 | 0.8097 | 0.5736 | 0.1414 |
0.1957 | 23.0 | 7429 | 0.8080 | 0.5935 | 0.1462 |
0.1883 | 24.0 | 7752 | 0.8837 | 0.5755 | 0.1434 |
0.1812 | 25.0 | 8075 | 0.8384 | 0.5750 | 0.1398 |
0.173 | 26.0 | 8398 | 0.8560 | 0.5639 | 0.1378 |
0.1667 | 27.0 | 8721 | 0.8805 | 0.5814 | 0.1442 |
0.1591 | 28.0 | 9044 | 0.8186 | 0.5746 | 0.1416 |
0.1549 | 29.0 | 9367 | 0.8560 | 0.5685 | 0.1412 |
0.1501 | 30.0 | 9690 | 0.9306 | 0.5635 | 0.1392 |
0.1471 | 31.0 | 10013 | 0.8634 | 0.5599 | 0.1378 |
0.146 | 32.0 | 10336 | 0.8246 | 0.5636 | 0.1380 |
0.1395 | 33.0 | 10659 | 0.8922 | 0.5602 | 0.1374 |
0.1344 | 34.0 | 10982 | 0.8653 | 0.5624 | 0.1375 |
0.1325 | 35.0 | 11305 | 0.9303 | 0.5558 | 0.1377 |
0.1295 | 36.0 | 11628 | 0.9432 | 0.5611 | 0.1382 |
0.1285 | 37.0 | 11951 | 0.8843 | 0.5589 | 0.1372 |
0.1247 | 38.0 | 12274 | 0.9276 | 0.5576 | 0.1353 |
0.1219 | 39.0 | 12597 | 0.9278 | 0.5604 | 0.1389 |
0.1188 | 40.0 | 12920 | 0.9765 | 0.5487 | 0.1349 |
0.1169 | 41.0 | 13243 | 0.9452 | 0.5519 | 0.1331 |
0.1111 | 42.0 | 13566 | 0.9585 | 0.5444 | 0.1320 |
0.1115 | 43.0 | 13889 | 0.9163 | 0.5455 | 0.1329 |
0.1073 | 44.0 | 14212 | 0.9804 | 0.5525 | 0.1334 |
0.1039 | 45.0 | 14535 | 0.9906 | 0.5379 | 0.1299 |
0.104 | 46.0 | 14858 | 0.9769 | 0.5407 | 0.1312 |
0.1024 | 47.0 | 15181 | 0.9502 | 0.5441 | 0.1328 |
0.1003 | 48.0 | 15504 | 0.9524 | 0.5397 | 0.1310 |
0.0993 | 49.0 | 15827 | 0.9993 | 0.5400 | 0.1318 |
0.0941 | 50.0 | 16150 | 0.9701 | 0.5401 | 0.1306 |
0.0939 | 51.0 | 16473 | 1.0024 | 0.5431 | 0.1319 |
0.0913 | 52.0 | 16796 | 0.9767 | 0.5284 | 0.1281 |
0.0914 | 53.0 | 17119 | 0.9617 | 0.5415 | 0.1328 |
0.0889 | 54.0 | 17442 | 0.9570 | 0.5445 | 0.1312 |
0.0832 | 55.0 | 17765 | 1.0253 | 0.5332 | 0.1299 |
0.0856 | 56.0 | 18088 | 1.0115 | 0.5333 | 0.1298 |
0.0833 | 57.0 | 18411 | 1.0273 | 0.5381 | 0.1291 |
0.0845 | 58.0 | 18734 | 1.0109 | 0.5344 | 0.1297 |
0.0814 | 59.0 | 19057 | 0.9471 | 0.5290 | 0.1278 |
0.0786 | 60.0 | 19380 | 1.0011 | 0.5271 | 0.1282 |
0.0776 | 61.0 | 19703 | 0.9817 | 0.5217 | 0.1255 |
0.0763 | 62.0 | 20026 | 0.9942 | 0.5214 | 0.1260 |
0.0724 | 63.0 | 20349 | 1.0208 | 0.5252 | 0.1262 |
0.0704 | 64.0 | 20672 | 1.0465 | 0.5195 | 0.1242 |
0.0707 | 65.0 | 20995 | 1.0340 | 0.5197 | 0.1259 |
0.0722 | 66.0 | 21318 | 1.0156 | 0.5212 | 0.1254 |
0.0703 | 67.0 | 21641 | 1.0830 | 0.5181 | 0.1257 |
0.067 | 68.0 | 21964 | 1.0453 | 0.5195 | 0.1248 |
0.0657 | 69.0 | 22287 | 1.0392 | 0.5207 | 0.1249 |
0.062 | 70.0 | 22610 | 1.0112 | 0.5139 | 0.1234 |
0.0626 | 71.0 | 22933 | 1.0672 | 0.5164 | 0.1243 |
0.0598 | 72.0 | 23256 | 1.0807 | 0.5132 | 0.1244 |
0.0599 | 73.0 | 23579 | 1.0566 | 0.5103 | 0.1228 |
0.0595 | 74.0 | 23902 | 1.0711 | 0.5096 | 0.1222 |
0.058 | 75.0 | 24225 | 1.0465 | 0.5085 | 0.1223 |
0.0558 | 76.0 | 24548 | 1.0750 | 0.5073 | 0.1228 |
0.0586 | 77.0 | 24871 | 1.0189 | 0.5048 | 0.1211 |
0.0553 | 78.0 | 25194 | 1.0529 | 0.5080 | 0.1223 |
0.0549 | 79.0 | 25517 | 1.0568 | 0.5137 | 0.1238 |
0.056 | 80.0 | 25840 | 1.0637 | 0.5087 | 0.1225 |
0.054 | 81.0 | 26163 | 1.0778 | 0.5098 | 0.1219 |
0.0509 | 82.0 | 26486 | 1.0557 | 0.5087 | 0.1206 |
0.0511 | 83.0 | 26809 | 1.0986 | 0.5011 | 0.1198 |
0.0516 | 84.0 | 27132 | 1.0862 | 0.5045 | 0.1201 |
0.0481 | 85.0 | 27455 | 1.1018 | 0.5008 | 0.1196 |
0.0469 | 86.0 | 27778 | 1.0797 | 0.5022 | 0.1196 |
0.0456 | 87.0 | 28101 | 1.0978 | 0.5006 | 0.1190 |
0.0456 | 88.0 | 28424 | 1.0978 | 0.5027 | 0.1200 |
0.0463 | 89.0 | 28747 | 1.0884 | 0.4985 | 0.1190 |
0.0444 | 90.0 | 29070 | 1.0855 | 0.5039 | 0.1198 |
0.0431 | 91.0 | 29393 | 1.1051 | 0.5006 | 0.1193 |
0.0438 | 92.0 | 29716 | 1.0819 | 0.5010 | 0.1187 |
0.0421 | 93.0 | 30039 | 1.0824 | 0.5014 | 0.1192 |
0.043 | 94.0 | 30362 | 1.0961 | 0.4978 | 0.1184 |
0.0409 | 95.0 | 30685 | 1.1035 | 0.4997 | 0.1182 |
0.0403 | 96.0 | 31008 | 1.1039 | 0.5005 | 0.1182 |
0.0393 | 97.0 | 31331 | 1.1045 | 0.4997 | 0.1181 |
0.0411 | 98.0 | 31654 | 1.1138 | 0.4985 | 0.1181 |
0.0398 | 99.0 | 31977 | 1.1106 | 0.4994 | 0.1182 |
0.0403 | 100.0 | 32300 | 1.1102 | 0.4982 | 0.1179 |
Base model
facebook/wav2vec2-xls-r-300m