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cminja/
whisper-tiny-sr-commonvoice-2000

Name: whisper-tiny-sr-commonvoice-2000
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

endpoints_compatible

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finetuned whisper-tiny model on custom dataset

This model is a fine-tuned version of openai/whisper-tiny on Serbian Mozilla/Common Voice 13. It achieves the following results on the evaluation set:

Loss: 0.1628
Wer Ortho: 0.1635
Wer: 0.0556

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-5
train_batch_size: 32
eval_batch_size: 32
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 2000
mixed_precision_training: Native AMP

Training Results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0600	1.34	500	0.1852	0.1800	0.0745
0.0285	2.67	1000	0.1715	0.1710	0.0640
0.0140	4.01	1500	0.1658	0.1685	0.0582

Framework Versions

Transformers: 4.41.2
Pytorch: 2.3.0+cu121
Datasets: 2.18.0
Tokenizers: 0.19.1

cminja/whisper-tiny-sr-commonvoice-2000