This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2337
Wer: 0.1816

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.463	0.87	1000	0.3897	0.3611
0.2431	1.74	2000	0.3008	0.2556
0.1731	2.61	3000	0.2726	0.2204
0.1311	3.47	4000	0.2527	0.2002
0.11	4.34	5000	0.2337	0.1816

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.3
Tokenizers 0.13.3

PaschalK/wav2vec-XLSR-swahili

wav2vec-XLSR-swahili

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

PaschalK/
wav2vec-XLSR-swahili