arthd24/pegasus_informative_10k

This model is a fine-tuned version of thonyyy/pegasus_indonesian_base-finetune on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.0055
• Validation Loss: 1.2492
• Train Rouge1: 0.5239
• Train Rouge2: 0.383
• Train Rougel: 0.4921
• Train Rougelsum: 0.4922
• Train Bertscore F1: 0.8071
• Train Gen Len: 18.0561
• 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': 'AdamWeightDecay', 'learning_rate': 2e-05, '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	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Bertscore F1	Train Gen Len	Epoch
1.0055	1.2492	0.5239	0.383	0.4921	0.4922	0.8071	18.0561	0

Framework versions

• Transformers 4.46.1
• TensorFlow 2.16.1
• Datasets 3.1.0
• Tokenizers 0.20.0