ecengil/TR-NewsSumBart

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: 1.3468
• Validation Loss: 2.1996
• Epoch: 12

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': 'AdamWeightDecay', 'clipnorm': 1.0, 'learning_rate': <tf.Tensor: shape=(), dtype=float32, numpy=0.0>, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
4.1093	3.0062	0
2.8393	2.6114	1
2.5114	2.4013	2
2.3057	2.2887	3
2.1498	2.2152	4
2.0196	2.1678	5
1.9058	2.1299	6
1.8024	2.1928	7
1.7030	2.0934	8
1.6121	2.1323	9
1.5201	2.1305	10
1.4328	2.1744	11
1.3468	2.1996	12

Framework versions

• Transformers 4.26.1
• TensorFlow 2.10.0
• Datasets 3.2.0
• Tokenizers 0.13.3