--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: LovenOO/distilBERT_without_preprocessing results: [] --- # LovenOO/distilBERT_without_preprocessing 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: 0.1638 - Validation Loss: 0.3625 - Train Precision: 0.8491 - Train Recall: 0.8642 - Train F1: 0.8544 - Train Accuracy: 0.8906 - Epoch: 4 ## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2565, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch | |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:| | 0.8177 | 0.4723 | 0.8407 | 0.7879 | 0.7948 | 0.8575 | 0 | | 0.3642 | 0.3777 | 0.8666 | 0.8315 | 0.8465 | 0.8847 | 1 | | 0.2734 | 0.3804 | 0.8466 | 0.8563 | 0.8471 | 0.8872 | 2 | | 0.2020 | 0.3704 | 0.8526 | 0.8663 | 0.8551 | 0.8896 | 3 | | 0.1638 | 0.3625 | 0.8491 | 0.8642 | 0.8544 | 0.8906 | 4 | ### Framework versions - Transformers 4.24.0 - TensorFlow 2.13.0 - Datasets 2.14.2 - Tokenizers 0.11.0