--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Andronius17/answer_text results: [] --- # Andronius17/answer_text 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: 3.9377 - Validation Loss: 3.9762 - Epoch: 32 ## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 84, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 4.1663 | 3.9762 | 0 | | 3.9427 | 3.9762 | 1 | | 3.9499 | 3.9762 | 2 | | 3.9448 | 3.9762 | 3 | | 3.9429 | 3.9762 | 4 | | 3.9460 | 3.9762 | 5 | | 3.9372 | 3.9762 | 6 | | 3.9375 | 3.9762 | 7 | | 3.9359 | 3.9762 | 8 | | 3.9398 | 3.9762 | 9 | | 3.9488 | 3.9762 | 10 | | 3.9429 | 3.9762 | 11 | | 3.9482 | 3.9762 | 12 | | 3.9383 | 3.9762 | 13 | | 3.9415 | 3.9762 | 14 | | 3.9377 | 3.9762 | 15 | | 3.9440 | 3.9762 | 16 | | 3.9415 | 3.9762 | 17 | | 3.9374 | 3.9762 | 18 | | 3.9327 | 3.9762 | 19 | | 3.9477 | 3.9762 | 20 | | 3.9424 | 3.9762 | 21 | | 3.9375 | 3.9762 | 22 | | 3.9419 | 3.9762 | 23 | | 3.9459 | 3.9762 | 24 | | 3.9463 | 3.9762 | 25 | | 3.9410 | 3.9762 | 26 | | 3.9414 | 3.9762 | 27 | | 3.9458 | 3.9762 | 28 | | 3.9479 | 3.9762 | 29 | | 3.9370 | 3.9762 | 30 | | 3.9465 | 3.9762 | 31 | | 3.9377 | 3.9762 | 32 | ### Framework versions - Transformers 4.28.1 - TensorFlow 2.12.0 - Datasets 2.11.0 - Tokenizers 0.13.3