| license: apache-2.0 | |
| tags: | |
| - generated_from_keras_callback | |
| base_model: distilbert-base-uncased | |
| model-index: | |
| - name: resume_sorter | |
| 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. --> | |
| # resume_sorter | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Train Loss: 1.6000 | |
| - Train Accuracy: 0.9309 | |
| - 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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 225, '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} | |
| - training_precision: float32 | |
| ### Training results | |
| | Train Loss | Train Accuracy | Epoch | | |
| |:----------:|:--------------:|:-----:| | |
| | 3.0338 | 0.3025 | 0 | | |
| | 2.5856 | 0.6257 | 1 | | |
| | 2.1253 | 0.8646 | 2 | | |
| | 1.7760 | 0.9144 | 3 | | |
| | 1.6245 | 0.9309 | 4 | | |
| | 1.5916 | 0.9309 | 5 | | |
| | 1.6000 | 0.9309 | 6 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - TensorFlow 2.9.2 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |