Whisper Small Ar- Martha
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.5854
Wer: 70.2071
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: 500
mixed_precision_training: Native AMP
Training results
Training Loss	Epoch	Step	Validation Loss	Wer
0.9692	0.14	125	1.3372	173.0952
0.5716	0.29	250	0.9058	148.6795
0.3297	0.43	375	0.5825	63.6709
0.3083	0.57	500	0.5854	70.2071
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2