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

Loss: 0.4357
Wer: 25.7857

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: 32
eval_batch_size: 16
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: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3621	1.03	1000	0.4819	32.3209
0.2378	2.07	2000	0.4413	29.0077
0.2342	4.01	3000	0.4224	27.3939
0.1286	5.04	4000	0.4357	25.7857
0.1192	6.08	5000	0.4727	27.2752
0.0147	8.02	6000	0.5230	26.7267
0.0425	9.05	7000	0.5336	26.3628
0.0059	10.08	8000	0.5658	26.8476

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.13.2

shivkumarganesh/whisper-small-uz-v1

Whisper Small Uzbek

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shivkumarganesh/
whisper-small-uz-v1