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: 0.8793
- Wer: 35.7817
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 |
|---|---|---|---|---|
| 0.0552 | 20.0 | 500 | 0.7875 | 40.5259 |
| 0.0098 | 40.0 | 1000 | 0.8705 | 39.3541 |
| 0.0014 | 60.0 | 1500 | 0.8703 | 36.7819 |
| 0.0001 | 80.0 | 2000 | 0.8793 | 35.7817 |
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-2000ms-small-v2
Base model
openai/whisper-small