--- 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: 1.8240 - Train Accuracy: 0.0439 - Train Wermet: 4.6041 - Validation Loss: 1.6213 - Validation Accuracy: 0.0308 - Validation Wermet: 12.0288 - 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 2.9164 | 0.0249 | 6.7624 | 2.3005 | 0.0222 | 17.3950 | 0 | | 2.2801 | 0.0354 | 6.3518 | 2.0871 | 0.0247 | 13.2620 | 1 | | 2.0950 | 0.0388 | 5.1467 | 1.9468 | 0.0263 | 12.7130 | 2 | | 1.9681 | 0.0411 | 4.7586 | 1.8190 | 0.0281 | 13.0904 | 3 | | 1.8240 | 0.0439 | 4.6041 | 1.6213 | 0.0308 | 12.0288 | 4 | ### Framework versions - Transformers 4.31.0 - TensorFlow 2.13.0 - Tokenizers 0.13.3