bart-1

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

• Train Loss: 2.8511
• Validation Loss: 2.1184
• Train Rouge1: 0.3060
• Train Rouge2: 0.1137
• Train Rougel: 0.2614
• Epoch: 0

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': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Epoch
2.8511	2.1184	0.3060	0.1137	0.2614	0

Framework versions

• Transformers 4.33.0
• TensorFlow 2.10.1
• Datasets 2.14.4
• Tokenizers 0.13.3