whisper-small-rw
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: 0.9918
- Wer: 68.7271
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 |
|---|---|---|---|---|
| 0.6952 | 1.0 | 1000 | 0.9920 | 70.5023 |
| 0.4771 | 2.0 | 2000 | 0.9260 | 68.3624 |
| 0.3132 | 3.0 | 3000 | 0.9506 | 68.0732 |
| 0.2025 | 4.0 | 4000 | 0.9918 | 68.7271 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for NMutangana/whisper-small-rw
Base model
openai/whisper-small