Whisper medium Turkish CV 3K
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 tr dataset. It achieves the following results on the evaluation set:
- Loss: 0.3611
- Wer: 15.9012
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 32
- 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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0856 | 3.02 | 1000 | 0.3732 | 20.6764 |
| 0.0119 | 6.03 | 2000 | 0.3684 | 17.5353 |
| 0.001 | 9.05 | 3000 | 0.3611 | 15.9012 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train sgangireddy/whisper-medium-highLR-tr
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 trtest set self-reported15.901