--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: whisper_input_decoder_no_lob_with_force__0010 results: [] --- # whisper_input_decoder_no_lob_with_force__0010 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: 4.5219 - Train Accuracy: 0.0120 - Train Wermet: 0.7679 - Validation Loss: 3.7776 - Validation Accuracy: 0.0117 - Validation Wermet: 0.8829 - Epoch: 9 ## 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 | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 5.4192 | 0.0107 | 1.1095 | 3.9799 | 0.0114 | 0.9502 | 0 | | 4.7193 | 0.0116 | 0.8751 | 3.9335 | 0.0114 | 0.9414 | 1 | | 4.6743 | 0.0117 | 0.8498 | 3.9949 | 0.0112 | 0.9682 | 2 | | 4.6508 | 0.0117 | 0.8454 | 3.8900 | 0.0114 | 0.9453 | 3 | | 4.6308 | 0.0118 | 0.8337 | 3.8853 | 0.0114 | 0.9495 | 4 | | 4.6102 | 0.0118 | 0.8215 | 3.8884 | 0.0115 | 0.9205 | 5 | | 4.5940 | 0.0118 | 0.8132 | 3.8409 | 0.0116 | 0.9007 | 6 | | 4.5703 | 0.0119 | 0.7971 | 3.8224 | 0.0116 | 0.9098 | 7 | | 4.5470 | 0.0120 | 0.7822 | 3.8013 | 0.0116 | 0.8938 | 8 | | 4.5219 | 0.0120 | 0.7679 | 3.7776 | 0.0117 | 0.8829 | 9 | ### Framework versions - Transformers 4.33.0.dev0 - TensorFlow 2.13.0 - Tokenizers 0.13.3