--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: whisper_wermet_nosup_0005 results: [] --- # whisper_wermet_nosup_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: 1.5621 - Train Accuracy: 0.0250 - Train Wermet: 9.7248 - Validation Loss: 1.2443 - Validation Accuracy: 0.0273 - Validation Wermet: 5.4731 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 5.0729 | 0.0113 | 42.1824 | 4.4421 | 0.0120 | 27.3059 | 0 | | 4.3249 | 0.0126 | 23.9224 | 4.0443 | 0.0141 | 18.2054 | 1 | | 3.8845 | 0.0144 | 12.7780 | 3.4577 | 0.0169 | 10.3356 | 2 | | 2.7411 | 0.0198 | 15.0018 | 1.8774 | 0.0244 | 14.5666 | 3 | | 1.5621 | 0.0250 | 9.7248 | 1.2443 | 0.0273 | 5.4731 | 4 | ### Framework versions - Transformers 4.27.0.dev0 - TensorFlow 2.11.0 - Datasets 2.10.0 - Tokenizers 0.13.2