--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: whisper_new_split_ch_08__0005 results: [] --- # whisper_new_split_ch_08__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: 2.0288 - Train Accuracy: 0.0397 - Train Wermet: 6.0799 - Validation Loss: 1.9309 - Validation Accuracy: 0.0265 - Validation Wermet: 13.6220 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 2.9538 | 0.0228 | 5.6932 | 2.4237 | 0.0203 | 14.2654 | 0 | | 2.4052 | 0.0321 | 6.0897 | 2.1989 | 0.0229 | 15.5551 | 1 | | 2.2222 | 0.0358 | 6.1102 | 2.0871 | 0.0245 | 13.4374 | 2 | | 2.1102 | 0.0380 | 6.0428 | 1.9986 | 0.0253 | 13.7934 | 3 | | 2.0288 | 0.0397 | 6.0799 | 1.9309 | 0.0265 | 13.6220 | 4 | ### Framework versions - Transformers 4.31.0 - TensorFlow 2.13.0 - Tokenizers 0.13.3