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Sercan/
whisper-small-cv-tr

Name: whisper-small-cv-tr
Availability: InStock

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_11_0

apache-2.0

model-index

endpoints_compatible

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Whisper Small Turkish

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

Loss: 0.2860
Wer: 16.3181
Cer: 4.1450

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: 8
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: 20000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1563	1.0	2500	0.2524	19.8570	5.1738
0.032	2.01	5000	0.2567	18.5627	4.7793
0.013	3.01	7500	0.2637	17.7723	4.6664
0.0057	4.02	10000	0.2703	17.0596	4.3662
0.0012	5.02	12500	0.2696	17.8322	5.2286
0.003	6.03	15000	0.2800	16.7200	4.2972
0.0003	7.03	17500	0.2834	16.4091	4.2018
0.0002	8.04	20000	0.2860	16.3181	4.1450

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.9.1.dev0
Tokenizers 0.13.2

Sercan/whisper-small-cv-tr

Whisper Small Turkish

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sercan/
whisper-small-cv-tr