metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: train_from_raw_cv12__0005
results: []
train_from_raw_cv12__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: nan
- Train Accuracy: 0.0032
- Train Wermet: 8.3902
- Validation Loss: nan
- Validation Accuracy: 0.0032
- Validation Wermet: 8.3902
- 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 |
|---|---|---|---|---|---|---|
| nan | 0.0032 | 8.3778 | nan | 0.0032 | 8.3902 | 0 |
| nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 1 |
| nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 2 |
| nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 3 |
| nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 4 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3