whisper-small-ar-Noise

This model is a fine-tuned version of MohammedNasri/whisper-small-AR on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2514
• Wer: 20.8116

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: 8
• 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: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0985	0.21	1000	0.2883	24.6143
0.0915	0.42	2000	0.2640	22.0391
0.0694	0.62	3000	0.2514	20.8116

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.0
• Datasets 2.11.0
• Tokenizers 0.13.2