--- 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: 3.0948 - Train Accuracy: 0.0343 - Train Wermet: 0.0859 - Validation Loss: 3.0780 - Validation Accuracy: 0.0341 - Validation Wermet: 0.0021 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 5.1494 | 0.0196 | 3.7403 | 4.3409 | 0.0256 | 0.7553 | 0 | | 4.0236 | 0.0274 | 0.6316 | 3.6960 | 0.0302 | 0.1658 | 1 | | 3.5216 | 0.0312 | 0.1467 | 3.3497 | 0.0311 | 0.0012 | 2 | | 3.2259 | 0.0330 | 0.0850 | 3.1532 | 0.0337 | 0.0023 | 3 | | 3.0948 | 0.0343 | 0.0859 | 3.0780 | 0.0341 | 0.0021 | 4 | ### Framework versions - Transformers 4.31.0 - TensorFlow 2.13.0 - Tokenizers 0.13.3