--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: tmpny35efxx results: [] --- # tmpny35efxx This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.1996 - Train Accuracy: 0.9348 - Validation Loss: 0.8523 - Validation Accuracy: 0.7633 - Epoch: 1 ## 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': 'Adam', 'clipnorm': 1.0, 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| | 0.5865 | 0.7626 | 0.5505 | 0.8010 | 0 | | 0.1996 | 0.9348 | 0.8523 | 0.7633 | 1 | ### Framework versions - Transformers 4.17.0 - TensorFlow 2.6.0 - Tokenizers 0.11.6