This model is a fine-tuned version of GogetaBlueMUI/whisper-medium-ur-v3 on the Common Voice 19.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3692
Wer: 25.0787

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: 3e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1648	0.3279	250	0.3832	28.1711
0.1748	0.6557	500	0.3737	30.1650
0.1887	0.9836	750	0.3587	24.8532
0.132	1.3108	1000	0.3692	25.0787

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu121
Datasets 3.4.1
Tokenizers 0.21.0