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

Loss: 0.6260
Wer: 22.4292

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: 7e-06
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0176	7.01	500	0.4165	22.5066
0.0015	14.01	1000	0.5186	22.2573
0.0004	21.02	1500	0.5741	22.2401
0.0002	28.02	2000	0.6025	22.3834
0.0002	36.01	2500	0.6197	22.3977
0.0002	43.01	3000	0.6260	22.4292

Framework versions

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

anuragshas/whisper-small-hi

Whisper Small Hindi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

anuragshas/
whisper-small-hi