This model is a fine-tuned version of nurzhanit/whisper-enhanced-ml on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.0002
Wer: 0.0

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: 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: 25
training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.0018	25.0	50	0.0005
0.0002	50.0	100	0.0002
0.0002	75.0	150	0.0002
0.0002	100.0	200	0.0002

Framework versions

Transformers 4.40.0
Pytorch 2.5.0+cu124
Datasets 3.0.2
Tokenizers 0.19.1