s-man2099/gpl-3000

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: 3.0904
• 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