metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_nosp_0010
results: []
whisper_nosp_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: 0.7431
- Train Accuracy: 0.0199
- Validation Loss: 0.9603
- Validation Accuracy: 0.0196
- 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 |
|---|---|---|---|---|
| 7.5559 | 0.0010 | 6.3853 | 0.0013 | 0 |
| 6.3227 | 0.0021 | 5.7023 | 0.0038 | 1 |
| 4.9825 | 0.0063 | 3.6302 | 0.0109 | 2 |
| 2.9413 | 0.0126 | 2.1959 | 0.0154 | 3 |
| 1.9349 | 0.0157 | 1.6630 | 0.0172 | 4 |
| 1.4741 | 0.0171 | 1.3813 | 0.0181 | 5 |
| 1.1975 | 0.0181 | 1.2161 | 0.0186 | 6 |
| 1.0048 | 0.0188 | 1.0990 | 0.0191 | 7 |
| 0.8598 | 0.0194 | 1.0165 | 0.0194 | 8 |
| 0.7431 | 0.0199 | 0.9603 | 0.0196 | 9 |
Framework versions
- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2