metadata
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: openai/whisper-tiny
model-index:
- name: whisper3_0010
results: []
whisper3_0010
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: 0.7159
- Train Accuracy: 0.0297
- Validation Loss: 0.7918
- Validation Accuracy: 0.0300
- Epoch: 9
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 | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 5.0832 | 0.0116 | 4.4298 | 0.0124 | 0 |
| 4.3130 | 0.0131 | 4.0733 | 0.0141 | 1 |
| 3.9211 | 0.0146 | 3.6762 | 0.0157 | 2 |
| 3.5505 | 0.0159 | 3.3453 | 0.0171 | 3 |
| 3.1592 | 0.0175 | 2.8062 | 0.0199 | 4 |
| 2.2581 | 0.0220 | 1.7622 | 0.0252 | 5 |
| 1.4671 | 0.0259 | 1.2711 | 0.0276 | 6 |
| 1.0779 | 0.0278 | 1.0220 | 0.0288 | 7 |
| 0.8591 | 0.0290 | 0.8836 | 0.0295 | 8 |
| 0.7159 | 0.0297 | 0.7918 | 0.0300 | 9 |
Framework versions
- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2