--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: train_from_raw_cv12_true__0005 results: [] --- # train_from_raw_cv12_true__0005 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: 1.4910 - Train Accuracy: 0.0631 - Train Wermet: 2.8298 - Validation Loss: 1.4213 - Validation Accuracy: 0.0402 - Validation Wermet: 8.9930 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 2.3396 | 0.0444 | 2.7124 | 1.8124 | 0.0331 | 9.4418 | 0 | | 1.7496 | 0.0562 | 3.2708 | 1.6529 | 0.0359 | 9.7805 | 1 | | 1.6254 | 0.0594 | 3.1714 | 1.5874 | 0.0371 | 10.4139 | 2 | | 1.5490 | 0.0615 | 3.0208 | 1.5102 | 0.0382 | 8.2054 | 3 | | 1.4910 | 0.0631 | 2.8298 | 1.4213 | 0.0402 | 8.9930 | 4 | ### Framework versions - Transformers 4.33.0.dev0 - TensorFlow 2.13.0 - Tokenizers 0.13.3