metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_wermet_nosup_0010
results: []
whisper_wermet_nosup_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: 0.5307
- Train Accuracy: 0.0308
- Train Wermet: 6.4113
- Validation Loss: 0.6640
- Validation Accuracy: 0.0306
- Validation Wermet: 5.7589
- 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 | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|---|---|---|---|---|---|---|
| 5.0860 | 0.0116 | 45.4352 | 4.4455 | 0.0124 | 36.1611 | 0 |
| 4.3098 | 0.0131 | 29.4890 | 4.0321 | 0.0144 | 24.9514 | 1 |
| 3.6711 | 0.0160 | 25.7380 | 2.7995 | 0.0205 | 32.2126 | 2 |
| 2.2582 | 0.0224 | 31.5946 | 1.6772 | 0.0257 | 23.9282 | 3 |
| 1.4268 | 0.0262 | 23.3380 | 1.2097 | 0.0279 | 18.7331 | 4 |
| 1.0613 | 0.0279 | 13.6764 | 0.9972 | 0.0289 | 10.7707 | 5 |
| 0.8545 | 0.0290 | 9.2746 | 0.8605 | 0.0296 | 6.5566 | 6 |
| 0.7144 | 0.0297 | 7.4723 | 0.7768 | 0.0300 | 5.4825 | 7 |
| 0.6116 | 0.0303 | 6.9092 | 0.7125 | 0.0304 | 6.5220 | 8 |
| 0.5307 | 0.0308 | 6.4113 | 0.6640 | 0.0306 | 5.7589 | 9 |
Framework versions
- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2