This model is a fine-tuned version of openai/whisper-tiny on the alakxender/dhivehi-audio-kn dataset. It achieves the following results on the evaluation set:

Loss: 0.9464
Wer Ortho: 125.5444
Wer: 79.5839

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: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
3.7040	2.3933	500	0.9464	125.5444	79.5839

Framework versions

Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2

hipstor/whisper-tiny-dv

Whisper tuny Dv - hipstor

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hipstor/
whisper-tiny-dv