Create README.md

README.md

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+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