mohamedsaeed823/whisper-small-arbyeg

Whisper Small Ar_Eg

This model is a fine-tuned version of openai/whisper-small on the Fleurs ar_eg dataset. It achieves the following results on the evaluation set:

• Loss: 0.4820
• Wer: 23.1

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
0.058	6.6667	1000	0.3934	23.6625
0.0014	13.3333	2000	0.4452	22.9875
0.0005	20.0	3000	0.4719	22.9375
0.0004	26.6667	4000	0.4820	23.1

Framework versions

• Transformers 4.40.2
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.19.1