s-man2099/gpl-500

This model is a fine-tuned version of google/pegasus-large on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 3.3443
• Validation Loss: 3.4426
• 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
4.1677	3.5365	0
3.8816	3.4822	1
3.7387	3.4553	2
3.6480	3.4469	3
3.5652	3.4379	4
3.4882	3.4368	5
3.4169	3.4429	6
3.3414	3.4427	7
3.3382	3.4421	8
3.3443	3.4426	9

Framework versions

• Transformers 4.34.1
• TensorFlow 2.14.0
• Datasets 2.14.6
• Tokenizers 0.14.1