This model is a fine-tuned version of openai/whisper-tiny on the Whisper Trial Test Data dataset. It achieves the following results on the evaluation set:

Loss: 0.0008
Wer: 55.6146

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: 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: 50
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1219	4.0	100	0.0160	41.3852
0.002	8.0	200	0.0018	43.1634
0.0012	12.0	300	0.0011	54.4739
0.0009	16.0	400	0.0009	51.8634
0.0008	20.0	500	0.0008	55.6146

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

David-Mazi/whisper-tiny-vox

Whisper Tiny Vox - David Mazi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

David-Mazi/
whisper-tiny-vox