--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: whisper_train_on_validated_cv_model__0005 results: [] --- # whisper_train_on_validated_cv_model__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: 0.7076 - Train Accuracy: 0.0654 - Train Wermet: 4.9157 - Validation Loss: 0.7312 - Validation Accuracy: 0.0627 - Validation Wermet: 4.2416 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 2.2992 | 0.0331 | 6.3187 | 1.9677 | 0.0372 | 7.2782 | 0 | | 1.7447 | 0.0431 | 5.6345 | 1.7865 | 0.0408 | 6.3969 | 1 | | 1.5036 | 0.0480 | 5.6512 | 1.4821 | 0.0468 | 5.1810 | 2 | | 1.0955 | 0.0567 | 4.4606 | 1.0492 | 0.0557 | 3.7886 | 3 | | 0.7076 | 0.0654 | 4.9157 | 0.7312 | 0.0627 | 4.2416 | 4 | ### Framework versions - Transformers 4.32.0.dev0 - TensorFlow 2.12.0 - Tokenizers 0.13.3