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Alvin-Nahabwe/
asr-africa-wav2vec2-xls-r-300m-mdc-rutoro-asr-1.0.0

Name: asr-africa-wav2vec2-xls-r-300m-mdc-rutoro-asr-1.0.0
Availability: InStock

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asr-africa-wav2vec2-xls-r-300m-mdc-rutoro-asr-1.0.0

This model is a fine-tuned version of Alvin-Nahabwe/asr-africa-wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
9.9224	1.0	84	3.4844	1.0	1.0
2.8143	2.0	168	2.0005	1.0	0.8775
1.3934	3.0	252	0.8859	0.9126	0.2768
0.9363	4.0	336	0.7422	0.8299	0.2138
0.7583	5.0	420	0.6761	0.7833	0.1947
0.6212	6.0	504	0.6583	0.7580	0.1835
0.5014	7.0	588	0.6707	0.7427	0.1785
0.4073	8.0	672	0.6948	0.7327	0.1744
0.3318	9.0	756	0.7604	0.7233	0.1745
0.2796	10.0	840	0.7809	0.7338	0.1735
0.2358	11.0	924	0.8414	0.7317	0.1734
0.205	12.0	1008	0.8859	0.7311	0.1757
0.1824	13.0	1092	0.9159	0.7319	0.1730
0.1603	14.0	1176	0.9528	0.7199	0.1724
0.1565	15.0	1260	0.9799	0.7275	0.1744
0.1424	16.0	1344	1.0055	0.7272	0.1717
0.135	17.0	1428	1.0212	0.7205	0.1712
0.1326	18.0	1512	1.0245	0.7302	0.1750
0.1219	19.0	1596	1.0559	0.7247	0.1730