--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: whisper_havest_0005 results: [] --- # whisper_havest_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: 6.4115 - Train Accuracy: 0.0115 - Train Do Wer: 1.0 - Validation Loss: 6.2357 - Validation Accuracy: 0.0115 - Validation Do Wer: 1.0 - 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 Do Wer | Validation Loss | Validation Accuracy | Validation Do Wer | Epoch | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 9.9191 | 0.0046 | 1.0 | 8.5836 | 0.0067 | 1.0 | 0 | | 8.0709 | 0.0083 | 1.0 | 7.4667 | 0.0089 | 1.0 | 1 | | 7.1652 | 0.0100 | 1.0 | 6.8204 | 0.0112 | 1.0 | 2 | | 6.7196 | 0.0114 | 1.0 | 6.5192 | 0.0114 | 1.0 | 3 | | 6.4115 | 0.0115 | 1.0 | 6.2357 | 0.0115 | 1.0 | 4 | ### Framework versions - Transformers 4.25.0.dev0 - TensorFlow 2.9.2 - Datasets 2.6.1 - Tokenizers 0.13.2