--- license: apache-2.0 base_model: bert-base-uncased tags: - generated_from_keras_callback model-index: - name: oc-01-bert-finetuned results: [] --- # oc-01-bert-finetuned 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: 0.0155 - Validation Loss: 0.3519 - Train Recall: 0.9396 - Epoch: 6 ## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 6140, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Train Recall | Epoch | |:----------:|:---------------:|:------------:|:-----:| | 0.3378 | 0.2319 | 0.9249 | 0 | | 0.1886 | 0.2204 | 0.8974 | 1 | | 0.1006 | 0.2864 | 0.9249 | 2 | | 0.0558 | 0.3120 | 0.9066 | 3 | | 0.0324 | 0.3041 | 0.9212 | 4 | | 0.0222 | 0.3763 | 0.9359 | 5 | | 0.0155 | 0.3519 | 0.9396 | 6 | ### Framework versions - Transformers 4.31.0 - TensorFlow 2.13.0 - Datasets 2.14.4 - Tokenizers 0.13.3