This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 de 5% dataset. It achieves the following results on the evaluation set:

Loss: 0.7117
Wer: 72.9182

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: 1.35e-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: 250
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6076	0.2252	250	0.8347	76.3126
0.5955	0.4505	500	0.7893	79.1697
0.5179	0.6757	750	0.7593	82.1978
0.5189	0.9009	1000	0.7370	73.0159
0.3644	1.1261	1250	0.7254	84.1270
0.394	1.3514	1500	0.7183	73.4066
0.3672	1.5766	1750	0.7152	73.1136
0.3751	1.8018	2000	0.7117	72.9182

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

controngo/whisper-tiny-cv-de

Whisper Tiny CV de

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

controngo/
whisper-tiny-cv-de