This model is a fine-tuned version of GogetaBlueMUI/whisper-medium-ur on the Fleurs Urdu dataset. It achieves the following results on the evaluation set:

Loss: 0.3747
Wer: 22.8392

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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 60
training_steps: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3288	0.7576	100	0.3701	23.7272
0.1527	1.5152	200	0.3769	23.5496
0.0874	2.2727	300	0.3747	22.8392

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu121
Datasets 3.3.2
Tokenizers 0.21.0

abdullah090809/whisper-medium-ur-fleurs

Whisper Medium Ur - Muhammad Abdullah on Fleurs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

abdullah090809/
whisper-medium-ur-fleurs