This model is a fine-tuned version of Zaid/whisper-small-commonvoice on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.5881
Wer: 44.2387

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40
training_steps: 200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5993	0.5	100	0.6257	37.9294
0.352	1.35	200	0.5881	44.2387

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

kpriyanshu256/whisper-small-ur-200-32-1e-05-pretrain-ar

openai/whisper-small-Urdu

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kpriyanshu256/
whisper-small-ur-200-32-1e-05-pretrain-ar