This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 13 Turkish 70% dataset. It achieves the following results on the evaluation set:

Loss: 0.5730
Wer: 55.4805

Model description

More information needed

Todo

Train with mozilla-foundation/common_voice_13_0 after the initial training.

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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3106	0.5	97	0.5626	57.0558
0.3361	1.0	194	0.5635	56.9995
0.3089	1.5	291	0.5639	57.6184
0.2665	1.99	388	0.5746	56.4088
0.2794	2.49	485	0.5799	56.2213
0.2364	2.99	582	0.5730	55.4805

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

beratcmn/whisper-tiny-tr

Whisper Tiny TR

Model description

Todo

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

beratcmn/
whisper-tiny-tr