whisper-small-tr
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_17_0 tr dataset. It achieves the following results on the evaluation set:
- Loss: 1.2027
- Wer: 0.4724
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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for bekirbakar/whisper-small-tr
Base model
openai/whisper-small
Finetuned
this model
Dataset used to train bekirbakar/whisper-small-tr
Evaluation results
- Wer on mozilla-foundation/common_voice_17_0 trself-reported0.472