This model is a fine-tuned version of uaepro/whisper-small-ar-2 on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3392
Wer: 168.2218

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1459	0.41	1000	0.3714	182.4752
0.1378	0.82	2000	0.3486	177.9993
0.0738	1.24	3000	0.3513	184.2939
0.0855	1.65	4000	0.3392	168.2218

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.0

UAEpro/whisper-small-ar-2

Whisper Small ar - majed test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

UAEpro/
whisper-small-ar-2