whisper-small-akan
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1252
- Wer: 48.2062
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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1053 | 10.0 | 500 | 0.9054 | 55.8896 |
| 0.0202 | 20.0 | 1000 | 1.0748 | 53.0428 |
| 0.0023 | 30.0 | 1500 | 1.1104 | 48.8017 |
| 0.0003 | 40.0 | 2000 | 1.1252 | 48.2062 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for devkyle/whisper-tiny-pure
Base model
openai/whisper-small