Whisper Large De - Krish Kalra
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2176
- Wer: 9.2911
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1148 | 1.0 | 300 | 0.1876 | 10.6676 |
| 0.1281 | 2.0 | 600 | 0.2023 | 11.0805 |
| 0.032 | 3.0 | 900 | 0.2043 | 10.1170 |
| 0.0015 | 4.0 | 1200 | 0.2194 | 9.7729 |
| 0.0005 | 5.0 | 1500 | 0.2176 | 9.2911 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for Krish03/whisper-large-de
Base model
openai/whisper-large-v3
Finetuned
openai/whisper-large-v3-turbo