This model is a fine-tuned version of openai/whisper-small on the Even Speech Pakendorf dataset. It achieves the following results on the evaluation set:

Loss: 1.3086
Wer: 67.9879

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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6619	2.6954	1000	0.9961	86.2737
0.0989	5.3908	2000	1.1101	68.8140
0.0114	8.0863	3000	1.2432	68.4645
0.0049	10.7817	4000	1.3086	67.9879

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1

tanya-kta/whisper-small-pakendorf

Whisper Small for Even Pakendorf

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tanya-kta/
whisper-small-pakendorf