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Sercan/
whisper-small-tr-2

Name: whisper-small-tr-2
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: 0.2576
Wer: 16.6327
Cer: 4.2853

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: 32
eval_batch_size: 16
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1412	0.08	400	0.2656	19.8335	5.2393
0.0851	1.03	800	0.2382	18.6300	4.8916
0.0525	1.11	1200	0.2532	19.1696	5.2238
0.0163	2.07	1600	0.2447	17.2014	4.5840
0.0202	3.02	2000	0.2472	17.1063	4.4935
0.0075	3.1	2400	0.2503	17.0151	4.4318
0.0039	4.05	2800	0.2514	16.7433	4.3655
0.0038	5.01	3200	0.2565	16.8870	4.3582
0.0023	5.09	3600	0.2590	16.6987	4.3337
0.0013	6.04	4000	0.2576	16.6327	4.2853
0.0011	6.12	4400	0.2647	16.9122	4.3556
0.001	7.07	4800	0.2615	16.6346	4.2839

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.13.2

Sercan/whisper-small-tr-2

Whisper Small Turkish

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sercan/
whisper-small-tr-2