wav2vec2-xlsr-luganda-radio-mh

This model is a fine-tuned version of sulaimank/wav2vec2-xlsr-luganda on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.8346	1.0	1234	0.5410	0.4906	0.1462
0.7095	2.0	2468	0.5064	0.4830	0.1402
0.6739	3.0	3702	0.4869	0.4789	0.1376
0.6475	4.0	4936	0.4764	0.4650	0.1339
0.6288	5.0	6170	0.4673	0.4614	0.1314
0.6147	6.0	7404	0.4631	0.4529	0.1291
0.5997	7.0	8638	0.4597	0.4462	0.1276
0.5884	8.0	9872	0.4563	0.4475	0.1265
0.5775	9.0	11106	0.4488	0.4404	0.1242
0.5652	10.0	12340	0.4467	0.4395	0.1235
0.5639	11.0	13574	0.4441	0.4336	0.1228
0.5515	12.0	14808	0.4427	0.4372	0.1231
0.5478	13.0	16042	0.4427	0.4350	0.1222
0.5434	14.0	17276	0.4442	0.4323	0.1216
0.5355	15.0	18510	0.4402	0.4336	0.1218
0.5341	16.0	19744	0.4411	0.4327	0.1216
0.5289	17.0	20978	0.4402	0.4323	0.1216
0.527	18.0	22212	0.4401	0.4323	0.1212
0.5271	19.0	23446	0.4393	0.4291	0.1204
0.5253	20.0	24680	0.4395	0.4305	0.1208