This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 ur dataset. It achieves the following results on the evaluation set:

Loss: 0.7803
Wer: 32.6814

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: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2634	3.85	200	0.5562	43.3518
0.0592	7.69	400	0.6271	40.8807
0.0121	11.54	600	0.7298	35.4506
0.0048	15.38	800	0.7803	32.6814
0.0039	19.23	1000	0.7940	33.3243

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

anuragshas/whisper-small-ur

Whisper Small Urdu

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

anuragshas/
whisper-small-ur