Whisper Small Mn - akmoyu
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8308
- Wer: 50.5188
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: 16
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0306 | 7.94 | 1000 | 0.6344 | 52.8724 |
| 0.0017 | 15.87 | 2000 | 0.7480 | 50.3659 |
| 0.0004 | 23.81 | 3000 | 0.8137 | 50.5406 |
| 0.0003 | 15.87 | 4000 | 0.8308 | 50.5188 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.2
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Base model
openai/whisper-small