--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: whisper_charsplit_0005 results: [] --- # whisper_charsplit_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: 1.0544 - Train Accuracy: 0.0561 - Train Wermet: 9.9365 - Validation Loss: 0.8809 - Validation Accuracy: 0.0623 - Validation Wermet: 10.1087 - 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': 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 2.7836 | 0.0245 | 8.8338 | 2.1866 | 0.0348 | 6.5008 | 0 | | 2.0715 | 0.0354 | 7.5148 | 1.8725 | 0.0410 | 5.8800 | 1 | | 1.7730 | 0.0412 | 7.4995 | 1.5964 | 0.0467 | 6.7257 | 2 | | 1.4468 | 0.0478 | 8.1713 | 1.2401 | 0.0544 | 8.7249 | 3 | | 1.0544 | 0.0561 | 9.9365 | 0.8809 | 0.0623 | 10.1087 | 4 | ### Framework versions - Transformers 4.32.0.dev0 - TensorFlow 2.12.0 - Tokenizers 0.13.3