whisper-tiny-akan-100
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1823
- Wer: 8.7755
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: 0.0001
- 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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1101 | 8.3333 | 500 | 0.9455 | 59.9493 |
| 0.0295 | 16.6667 | 1000 | 1.0721 | 50.0664 |
| 0.0117 | 25.0 | 1500 | 1.1477 | 50.5491 |
| 0.0008 | 33.3333 | 2000 | 1.1674 | 47.4840 |
| 0.0016 | 41.6667 | 2500 | 0.1804 | 9.2610 |
| 0.0004 | 50.0 | 3000 | 0.1823 | 8.7755 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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openai/whisper-tiny