This model is a fine-tuned version of sanchit-gandhi/whisper-small-dv on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

Loss: 0.1615
Wer Ortho: 58.1169
Wer: 11.7189

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.0615	1.63	500	0.1615	58.1169	11.7189

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

evertonaleixo/whisper-small-dv

Whisper Small Dv

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

evertonaleixo/
whisper-small-dv