--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: leetcoder-qa results: [] --- # leetcoder-qa This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 4.1922 - Validation Loss: 3.8900 - Epoch: 9 ## 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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 6.3985 | 4.7493 | 0 | | 4.8760 | 4.4969 | 1 | | 4.7016 | 4.3654 | 2 | | 4.5848 | 4.2650 | 3 | | 4.5086 | 4.1827 | 4 | | 4.4307 | 4.1106 | 5 | | 4.3581 | 4.0471 | 6 | | 4.2923 | 3.9898 | 7 | | 4.2397 | 3.9375 | 8 | | 4.1922 | 3.8900 | 9 | ### Framework versions - Transformers 4.30.1 - TensorFlow 2.12.0 - Datasets 2.12.0 - Tokenizers 0.13.3