--- license: apache-2.0 base_model: bert-base-cased tags: - generated_from_keras_callback model-index: - name: Ioana23/bert-finetuned-resumes-ner-2 results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # Ioana23/bert-finetuned-resumes-ner-2 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.2007 - Validation Loss: 0.3219 - 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 350, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} - training_precision: mixed_float16 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 0.9040 | 0.6209 | 0 | | 0.4516 | 0.4323 | 1 | | 0.3550 | 0.4498 | 2 | | 0.2872 | 0.4073 | 3 | | 0.2416 | 0.3226 | 4 | | 0.2169 | 0.3442 | 5 | | 0.2007 | 0.3219 | 6 | ### Framework versions - Transformers 4.32.1 - TensorFlow 2.10.0 - Datasets 2.14.4 - Tokenizers 0.13.3