abduaziz/whisper-small-uzbek

Whisper Small Uzbek

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3776
• Wer: 35.8660

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1500
• training_steps: 5500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.913	0.2	500	0.8213	62.5843
0.6404	0.4	1000	0.6082	51.8716
0.5734	0.6	1500	0.5458	48.0513
0.5051	0.8	2000	0.4846	43.8649
0.4407	1.0	2500	0.4483	41.3901
0.3436	1.2	3000	0.4321	41.0277
0.3092	1.4	3500	0.4184	40.1141
0.2861	1.6	4000	0.4091	39.9753
0.289	1.8	4500	0.3811	36.7950
0.2816	2.0	5000	0.3730	36.7102
0.1547	2.2	5500	0.3776	35.8660

Framework versions

• Transformers 4.47.0
• Pytorch 2.1.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0