This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the BilalS96/Commonvoice-kazakh dataset. It achieves the following results on the evaluation set:

Loss: 3.2424
Wer: 1.0

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: 4
eval_batch_size: 8
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
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.7719	4.3860	500	3.2418	1.0
3.2332	8.7719	1000	3.2473	1.0
3.2332	13.1579	1500	3.2480	1.0
3.227	17.5439	2000	3.2337	1.0
3.2218	21.9298	2500	3.2342	1.0
3.2361	26.3158	3000	3.2424	1.0

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

BilalS96/commonvoice-wav2vec2-base

Kammi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BilalS96/
commonvoice-wav2vec2-base