s-man2099/gpl-1000

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: 3.2314
• Validation Loss: 3.5643
• 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
3.9851	3.6010	0
3.7143	3.5460	1
3.5973	3.5299	2
3.5158	3.5266	3
3.4439	3.5331	4
3.3673	3.5419	5
3.2942	3.5538	6
3.2253	3.5580	7
3.2226	3.5617	8
3.2314	3.5643	9

Framework versions

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