Update README.md

README.md

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--Whisper Small Ar- Martha
+Whisper Small Ar- Martha:
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   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
+Loss: 0.5854
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 Wer: 70.2071
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 Model description
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 More information needed
 
 Intended uses & limitations
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 More information needed
 
 Training and evaluation data
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 More information needed
 
 Training procedure
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 Training hyperparameters
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 The following hyperparameters were used during training:
 
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 learning_rate: 1e-05
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  train_batch_size: 16
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 eval_batch_size: 8
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 seed: 42
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 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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 lr_scheduler_type: linear
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 lr_scheduler_warmup_steps: 500
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 training_steps: 500
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 mixed_precision_training: Native AMP
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 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
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+Training Loss   	Epoch   	Step	   Validation Loss  	Wer
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+ 0.9692  	         0.14   	125  	   1.3372   	 173.0952
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+ 0.5716             0.29	250      	0.9058   	148.6795
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+ 0.3297	              0.43    375      	0.5825    63.6709
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+ 0.3083	               0.57     500    	0.5854         70.2071
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 Framework versions
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 Transformers 4.26.0.dev0
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 Pytorch 1.13.0+cu116
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 Datasets 2.7.1
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 Tokenizers 0.13.2
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