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Xlsr Luganda Waxal

This model is a fine-tuned version of sulaimank/wav2vec2-xlsr-swahili-400hr on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.1404 Wer: 0.2144 Cer: 0.0446 Zindi: 0.8705

Fontehuggingface.co/sulaimank/xlsr-luganda-waxal/tree/39126845a3806ee7fc21f63a7f14a72fcd87211f
TipoOtherModelo basesulaimank/wav2vec2-xlsr-swahili-400hrVersãoRevision 3912684

Fonte do modelo

Tipo
Other
Tamanho do arquivo
1,18 GB
Modelo base
sulaimank/wav2vec2-xlsr-swahili-400hr
Versão
vRevision 3912684
Atualizado
28 de set. de 2026
Downloads
10
Fonte
Hugging Face

Descrição da fonte

xlsr-luganda-waxal

This model is a fine-tuned version of sulaimank/wav2vec2-xlsr-swahili-400hr on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1404
  • Wer: 0.2144
  • Cer: 0.0446
  • Zindi: 0.8705

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 100.0

Training results

Training LossEpochStepValidation LossWerCerZindi
4.75860.11165001.75331.00.79360.1032
1.15270.223310000.49040.73000.15410.5580
1.00810.334915000.42320.64160.13470.6119
0.88070.446620000.39160.59540.12500.6398
0.86720.558225000.36240.55550.11600.6643
0.80810.669930000.34480.54030.11040.6746
0.77360.781535000.33180.52130.10620.6862
0.75320.893240000.32070.50100.10340.6978
0.72971.004745000.31560.48120.10010.7093
0.69811.116350000.30630.47090.09830.7154
0.67851.228055000.29240.44810.09250.7297
0.64161.339660000.28590.44270.09200.7327
0.62931.451365000.28060.42970.08910.7406
0.62731.562970000.27140.41660.08640.7485
0.60361.674675000.26700.41240.08480.7514
0.60411.786280000.25900.39970.08250.7589
0.59801.897885000.26110.40300.08350.7567
0.56232.009490000.25730.38790.08110.7655
0.56172.121095000.25160.38590.08050.7668
0.56632.2327100000.24640.37000.07840.7758
0.54332.3443105000.24620.36710.07820.7774
0.52662.4560110000.23810.36460.07580.7798
0.52492.5676115000.23440.35400.07400.7860
0.52592.6792120000.23480.35080.07400.7876
0.51672.7909125000.23090.34810.07380.7891
0.50502.9025130000.22950.34460.07230.7915
0.48663.0141135000.22690.33750.07120.7957
0.47133.1257140000.22580.33830.07090.7954
0.47473.2374145000.22180.33170.06980.7992
0.47253.3490150000.22050.33050.06940.8001
0.49513.4606155000.21860.32400.06870.8036
0.45293.5723160000.21400.32080.06740.8059
0.46683.6839165000.21310.32040.06790.8059
0.46483.7956170000.20800.31200.06570.8112
0.46363.9072175000.20730.31090.06530.8119
0.44204.0188180000.20850.31100.06600.8115
0.44884.1304185000.20410.30870.06460.8134
0.42104.2420190000.20500.30590.06430.8149
0.43374.3537195000.20310.30420.06420.8158
0.45624.4653200000.20160.30200.06400.8170
0.43834.5770205000.19900.29740.06310.8198
0.43104.6886210000.19970.30150.06350.8175
0.43204.8003215000.19540.29650.06190.8208
0.41974.9119220000.19540.29200.06190.8230
0.41465.0234225000.19240.28930.06060.8251
0.40955.1351230000.19170.29090.06080.8242
0.39895.2467235000.19220.28580.06060.8268
0.40335.3584240000.19290.28720.06120.8258
0.39205.4700245000.19070.28720.06040.8262
0.39345.5817250000.18840.27950.05940.8305
0.38815.6933255000.18560.27950.05890.8308
0.38355.8050260000.18380.27540.05790.8333
0.38275.9166265000.18460.27620.05870.8326
0.37746.0281270000.18230.27460.05770.8338
0.37756.1398275000.18010.27350.05740.8345
0.37626.2514280000.18160.27270.05790.8347
0.37556.3631285000.17960.27030.05690.8364
0.36766.4747290000.18050.26910.05720.8368
0.38306.5864295000.17810.26580.05670.8387
0.37146.6980300000.17750.26820.05660.8376
0.36486.8096305000.17660.26530.05590.8394
0.36656.9213310000.17360.26210.05540.8413
0.36677.0328315000.17580.26340.05620.8402
0.36347.1445320000.17780.26310.05680.8400
0.35197.2561325000.17310.25740.05470.8440
0.36437.3678330000.17090.26230.05490.8414
0.34517.4794335000.17160.25710.05470.8441
0.34977.5910340000.17100.25460.05450.8454
0.35637.7027345000.17190.25670.05520.8440
0.33937.8143350000.16960.25510.05440.8453
0.34947.9260355000.16640.25550.05380.8454
0.34358.0375360000.16720.250.05320.8484
0.34158.1492365000.16620.25030.05330.8482
0.32978.2608370000.16550.25070.05260.8484
0.33168.3724375000.16580.25290.05320.8469
0.32918.4841380000.16590.24680.05250.8504
0.33328.5957385000.16430.24780.05230.8500
0.34808.7074390000.16220.24510.05200.8514
0.32658.8190395000.16230.24640.05210.8508
0.33238.9307400000.16250.24830.05220.8498
0.33119.0422405000.16170.24840.05200.8498
0.33429.1538410000.16250.24120.05130.8538
0.32489.2655415000.16130.24540.05210.8513
0.30819.3771420000.16210.24200.05130.8534
0.31039.4888425000.16030.23950.05050.8550
0.30889.6004430000.15900.24050.05100.8542
0.31009.7121435000.15900.24040.05040.8546
0.30359.8237440000.16090.24330.05130.8527
0.32309.9354445000.15970.23970.05090.8547
0.307010.0469450000.15920.24070.05060.8544
0.309810.1585455000.15780.24100.05090.8541
0.293210.2702460000.15710.24010.05000.8549
0.296110.3818465000.15620.23660.05000.8567
0.299810.4935470000.15510.23470.04960.8579
0.308810.6051475000.15490.23750.05020.8562
0.301410.7168480000.15490.23610.05000.8569
0.299610.8284485000.15490.23300.04930.8589
0.307110.9400490000.15490.23310.04950.8587
0.297611.0516495000.15500.23310.04940.8587
0.296511.1632500000.15460.23190.04950.8593
0.294311.2749505000.15330.23370.04870.8588
0.286211.3865510000.15270.22600.04780.8631
0.300411.4982515000.15290.22810.04860.8616
0.283111.6098520000.15180.23130.04870.8600
0.285711.7214525000.14940.22350.04770.8644
0.275111.8331530000.14950.22410.04750.8642
0.279911.9447535000.15030.22630.04780.8629
0.284312.0563540000.15000.22750.04750.8625
0.267912.1679545000.15020.23050.04820.8606
0.286112.2796550000.15000.22810.04790.8620
0.288212.3912555000.14920.22740.04780.8624
0.278412.5028560000.14950.22520.04790.8634
0.277012.6145565000.14830.22330.04730.8647
0.273312.7261570000.14940.22750.04780.8623
0.279612.8378575000.14800.22690.04790.8626
0.277912.9494580000.14730.22560.04720.8636
0.261213.0610585000.14880.22470.04770.8638
0.269013.1726590000.14870.22510.04760.8636
0.279913.2842595000.14790.22380.04710.8645
0.260713.3959600000.14810.22410.04710.8644
0.274913.5075605000.14860.22460.04750.8639
0.253813.6192610000.14730.22140.04670.8659
0.283213.7308615000.14580.22000.04680.8666
0.264013.8425620000.14470.21910.04600.8674
0.275413.9541625000.14670.22020.04650.8666
0.263614.0656630000.14580.22060.04680.8663
0.250914.1773635000.14600.22330.04690.8649
0.257714.2889640000.14410.21670.04610.8686
0.262414.4006645000.14470.21840.04590.8678
0.254214.5122...

Fontes

1 fonte
Hugging FacePrimárioVersão 39126845a3806ee7fc21f63a7f14a72fcd87211f
huggingface.co/sulaimank/xlsr-luganda-waxal/tree/39126845a3806ee7fc21f63a7f14a72fcd87211f

Verificado 22 de set.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 1,18 GB · SHA-256 d1929a4c25fc…7075 · Hugging Face

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Trechos de fonte

2 trechos
Readme22 de set.huggingface.co/sulaimank/xlsr-luganda-waxal

--- library_name: transformers license: apache-2.0 base_model: sulaimank/wav2vec2-xlsr-swahili-400hr tags: - generated_from_trainer metrics: - wer model-index: - name: xlsr-luganda-waxal results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # xlsr-luganda-waxal This model is a fine-tuned version of [sulaimank/wav2vec2-xlsr-swahili-400hr](https://huggingface.co/sulaimank/wav2vec2-xlsr-swahili-400hr) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1404 - Wer: 0.2144 - Cer: 0.0446 - Zindi: 0.8705 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0001 - train_batch_size: 32 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 100.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Zindi | |:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|:------:| | 4.7586 | 0.1116 | 500 | 1.7533 | 1.0 | 0.7936 | 0.1032 | | 1.1527 | 0.2233 | 1000 | 0.4904 | 0.7300 | 0.1541 | 0.5580 | | 1.0081 | 0.3349 | 1500 | 0.4232 | 0.6416 | 0.1347 | 0.6119 | | 0.8807 | 0.4466 | 2000 | 0.3916 | 0.5954 | 0.1250 | 0.6398 | | 0.8672 | 0.5582 | 2500 | 0.3624 | 0.5555 | 0.1160 | 0.6643 | | 0.8081 | 0.6699 | 3000 | 0.3448 | 0.5403 | 0.1104 | 0.6746 | | 0.7736 | 0.7815 | 3500 | 0.3318 | 0.5213 | 0.1062 | 0.6862 | | 0.7532 | 0.8932 | 4000 | 0.3207 | 0.5010 | 0.1034 | 0.6978 | | 0.7297 | 1.0047 | 4500 | 0.3156 | 0.4812 | 0.1001 | 0.7093 | | 0.6981 | 1.1163 | 5000 | 0.3063 | 0.4709 | 0.0983 | 0.7154 | | 0.6785 | 1.2280 | 5500 | 0.2924 | 0.4481 | 0.0925 | 0.7297 | | 0.6416 | 1.3396 | 6000 | 0.2859 | 0.4427 | 0.0920 | 0.7327 | | 0.6293 | 1.4513 | 6500 | 0.2806 | 0.4297 | 0.0891 | 0.7406 | | 0.6273 | 1.5629 | 7000 | 0.2714 | 0.4166 | 0.0864 | 0.7485 | | 0.6036 |...

Note22 de set.huggingface.co/sulaimank/xlsr-luganda-waxal

Source context: 10 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo sulaimank/xlsr-luganda-waxal