This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 kab dataset. It achieves the following results on the evaluation set:

Loss: 0.5547
Wer: 41.4753

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: 64
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4105	1.42	1000	0.5508	48.1244
0.258	2.84	2000	0.4905	42.0295
0.0998	4.27	3000	0.5220	41.6808
0.064	5.69	4000	0.5547	41.4753
0.0356	7.11	5000	0.5889	41.5737

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

BlueRaccoon/whisper-small-kab

Whisper Small Georgian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BlueRaccoon/
whisper-small-kab