Whisper Medium Id - Rio Gunawan
This model is a fine-tuned version of openai/whisper-medium on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2638
- Wer: 12.8776
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 |
|---|---|---|---|---|
| 0.1352 | 1.9231 | 1000 | 0.1943 | 13.3695 |
| 0.0167 | 3.8462 | 2000 | 0.2161 | 12.6131 |
| 0.0024 | 5.7692 | 3000 | 0.2483 | 12.5064 |
| 0.0008 | 7.6923 | 4000 | 0.2638 | 12.8776 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for rigun/whisper-medium-id-002
Base model
openai/whisper-medium