This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.8935
Wer: 0.7382

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.9336	1.0	443	2.9475	1.0
2.1805	2.0	886	2.0308	0.9890
1.405	3.0	1329	1.3101	0.8862
1.0925	4.0	1772	1.0512	0.7904
0.9305	4.9898	2210	0.8935	0.7382

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.18.0
Tokenizers 0.21.1

Mohammadawad1/wav2vec2-base-arabic-finetuned

wav2vec2-base-arabic-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mohammadawad1/
wav2vec2-base-arabic-finetuned