--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: train_from_raw_cv12__0005 results: [] --- # train_from_raw_cv12__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: nan - Train Accuracy: 0.0032 - Train Wermet: 8.3902 - Validation Loss: nan - Validation Accuracy: 0.0032 - Validation Wermet: 8.3902 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | nan | 0.0032 | 8.3778 | nan | 0.0032 | 8.3902 | 0 | | nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 1 | | nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 2 | | nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 3 | | nan | 0.0032 | 8.3902 | nan | 0.0032 | 8.3902 | 4 | ### Framework versions - Transformers 4.33.0.dev0 - TensorFlow 2.13.0 - Tokenizers 0.13.3