Two datasets are used for two different languages, for hindi mozilla-foundation/common_voice_11_0 is used and for english google/fleurs is used. with combination of two dataset wer has decreased significantly.

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: 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: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.059	2.52	1500	0.2881	24.7722
0.0084	5.03	3000	0.3279	24.0479

Framework versions

Transformers 4.33.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.13.3

Venkatesh4342/whisper-small-en-hi

whisper-small-en-hi

Model description