s-man2099/fblc-1000

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

• Train Loss: 2.7780
• Validation Loss: 3.5367
• 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
3.6412	3.5800	0
3.4101	3.5235	1
3.2777	3.5013	2
3.1688	3.4972	3
3.0803	3.4901	4
2.9866	3.5084	5
2.8833	3.5218	6
2.8039	3.5290	7
2.7741	3.5326	8
2.7780	3.5367	9

Framework versions

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