--- base_model: google/pegasus-large tags: - generated_from_keras_callback model-index: - name: s-man2099/gpl-3000 results: [] --- # s-man2099/gpl-3000 This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 3.0904 - Validation Loss: 3.4411 - 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': 'Adafactor', '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': 6e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True} - training_precision: mixed_float16 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 3.8518 | 3.4450 | 0 | | 3.5976 | 3.4109 | 1 | | 3.4730 | 3.3992 | 2 | | 3.3789 | 3.3987 | 3 | | 3.3083 | 3.4055 | 4 | | 3.2449 | 3.4183 | 5 | | 3.1811 | 3.4343 | 6 | | 3.1092 | 3.4363 | 7 | | 3.0990 | 3.4389 | 8 | | 3.0904 | 3.4411 | 9 | ### Framework versions - Transformers 4.34.1 - TensorFlow 2.14.0 - Datasets 2.14.6 - Tokenizers 0.14.1