--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: train_from_raw_cv12_true_suppress__0005 results: [] --- # train_from_raw_cv12_true_suppress__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: 1.4953 - Train Accuracy: 0.0631 - Train Wermet: 1.8208 - Validation Loss: 1.4549 - Validation Accuracy: 0.0397 - Validation Wermet: 4.4667 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 2.3569 | 0.0439 | 2.6429 | 1.7869 | 0.0339 | 10.1374 | 0 | | 1.7502 | 0.0561 | 3.2762 | 1.6607 | 0.0360 | 9.6159 | 1 | | 1.6268 | 0.0595 | 3.0493 | 1.5698 | 0.0374 | 8.6767 | 2 | | 1.5533 | 0.0614 | 2.3917 | 1.4965 | 0.0387 | 7.2278 | 3 | | 1.4953 | 0.0631 | 1.8208 | 1.4549 | 0.0397 | 4.4667 | 4 | ### Framework versions - Transformers 4.33.0.dev0 - TensorFlow 2.13.0 - Tokenizers 0.13.3