Whisper Small Tatar
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 tt dataset. It achieves the following results on the evaluation set:
- Loss: 0.4091
- Wer: 33.1045
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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0212 | 5.04 | 1000 | 0.4091 | 33.1045 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221210+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train sanchit-gandhi/whisper-small-tt-1k-steps
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 tttest set self-reported33.104