This is free to use for learning or commercial purposes. I don't plan to monetize this ever or make it private. My goal is to make whisper more localized which is why i have this trained this model and made it public for everyone.

Training and evaluation data

This model is trained on common_voice_17 dataset. It is an open source multilingual dataset.

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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.005	15.1515	1000	0.9955	53.7437
0.0003	30.3030	2000	1.1066	52.5698
0.0001	45.4545	3000	1.1585	52.8553
0.0001	60.6061	4000	1.1889	52.7284
0.0001	75.7576	5000	1.2013	52.6332

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

somu9/whisper-small-alb

Whisper Small Alb - Sumitesh

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

somu9/
whisper-small-alb