whisper-base-ar-common-fleurs

This model is a fine-tuned version of MohammedNasri/whisper-base-ar-common-fleurs on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3732
• Wer: 57.3788

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: 16
• 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
0.4132	0.39	1000	0.4356	77.2091
0.3597	0.78	2000	0.3880	56.3555
0.2713	1.17	3000	0.3732	57.3788

Framework versions

• Transformers 4.26.0
• Pytorch 1.12.0
• Datasets 2.1.0
• Tokenizers 0.12.1