metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_train_on_validated_cv_model__0005
results: []
whisper_train_on_validated_cv_model__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: 0.7076
- Train Accuracy: 0.0654
- Train Wermet: 4.9157
- Validation Loss: 0.7312
- Validation Accuracy: 0.0627
- Validation Wermet: 4.2416
- 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': 2e-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 |
|---|---|---|---|---|---|---|
| 2.2992 | 0.0331 | 6.3187 | 1.9677 | 0.0372 | 7.2782 | 0 |
| 1.7447 | 0.0431 | 5.6345 | 1.7865 | 0.0408 | 6.3969 | 1 |
| 1.5036 | 0.0480 | 5.6512 | 1.4821 | 0.0468 | 5.1810 | 2 |
| 1.0955 | 0.0567 | 4.4606 | 1.0492 | 0.0557 | 3.7886 | 3 |
| 0.7076 | 0.0654 | 4.9157 | 0.7312 | 0.0627 | 4.2416 | 4 |
Framework versions
- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3