--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: whisper_0015 results: [] --- # whisper_0015 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.3281 - Train Accuracy: 0.0322 - Validation Loss: 0.5841 - Validation Accuracy: 0.0311 - Epoch: 14 ## 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 | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| | 5.0856 | 0.0116 | 4.4440 | 0.0123 | 0 | | 4.3149 | 0.0131 | 4.0521 | 0.0142 | 1 | | 3.9260 | 0.0146 | 3.7264 | 0.0153 | 2 | | 3.5418 | 0.0160 | 3.3026 | 0.0174 | 3 | | 2.7510 | 0.0198 | 2.0157 | 0.0241 | 4 | | 1.6782 | 0.0250 | 1.3567 | 0.0273 | 5 | | 1.1705 | 0.0274 | 1.0678 | 0.0286 | 6 | | 0.9126 | 0.0287 | 0.9152 | 0.0294 | 7 | | 0.7514 | 0.0296 | 0.8057 | 0.0299 | 8 | | 0.6371 | 0.0302 | 0.7409 | 0.0302 | 9 | | 0.5498 | 0.0307 | 0.6854 | 0.0306 | 10 | | 0.4804 | 0.0312 | 0.6518 | 0.0307 | 11 | | 0.4214 | 0.0316 | 0.6200 | 0.0310 | 12 | | 0.3713 | 0.0319 | 0.5947 | 0.0311 | 13 | | 0.3281 | 0.0322 | 0.5841 | 0.0311 | 14 | ### Framework versions - Transformers 4.25.0.dev0 - TensorFlow 2.9.2 - Tokenizers 0.13.2