metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_charsplit_0005
results: []
whisper_charsplit_0005
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0544
- Train Accuracy: 0.0561
- Train Wermet: 9.9365
- Validation Loss: 0.8809
- Validation Accuracy: 0.0623
- Validation Wermet: 10.1087
- Epoch: 4
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|---|---|---|---|---|---|---|
| 2.7836 | 0.0245 | 8.8338 | 2.1866 | 0.0348 | 6.5008 | 0 |
| 2.0715 | 0.0354 | 7.5148 | 1.8725 | 0.0410 | 5.8800 | 1 |
| 1.7730 | 0.0412 | 7.4995 | 1.5964 | 0.0467 | 6.7257 | 2 |
| 1.4468 | 0.0478 | 8.1713 | 1.2401 | 0.0544 | 8.7249 | 3 |
| 1.0544 | 0.0561 | 9.9365 | 0.8809 | 0.0623 | 10.1087 | 4 |
Framework versions
- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3