--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: whisper_charsplit_new_round2__0006 results: [] --- # whisper_charsplit_new_round2__0006 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: 0.0012 - Train Accuracy: 0.0795 - Train Wermet: 8.8862 - Validation Loss: 0.5667 - Validation Accuracy: 0.0767 - Validation Wermet: 8.2913 - Epoch: 5 ## 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 0.0010 | 0.0795 | 8.7507 | 0.5575 | 0.0767 | 7.6778 | 0 | | 0.0013 | 0.0795 | 8.9468 | 0.5652 | 0.0766 | 8.3360 | 1 | | 0.0025 | 0.0795 | 8.7338 | 0.5673 | 0.0765 | 8.3770 | 2 | | 0.0019 | 0.0795 | 8.9450 | 0.5623 | 0.0766 | 7.7117 | 3 | | 0.0011 | 0.0795 | 8.9053 | 0.5609 | 0.0767 | 7.5155 | 4 | | 0.0012 | 0.0795 | 8.8862 | 0.5667 | 0.0767 | 8.2913 | 5 | ### Framework versions - Transformers 4.32.0.dev0 - TensorFlow 2.12.0 - Tokenizers 0.13.3