deepdml/whisper-medium-ar-mix

Whisper Medium ar

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 2.2639
• Wer: 49.5891

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: 32
• 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: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1182	0.2	1000	1.9215	53.6214
0.0656	0.4	2000	2.0680	48.7875
0.0383	0.6	3000	2.0654	50.3799
0.0412	1.0908	4000	2.2142	55.4388
0.0319	1.2908	5000	2.2639	49.5891

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1