arthd24/pegasus_base_1
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: 1.2501
- Validation Loss: 1.4153
- Train Rouge1: 0.5105
- Train Rouge2: 0.3781
- Train Rougel: 0.4794
- Train Rougelsum: 0.4798
- Train Gen Len: 18.256
- Epoch: 2
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 Gen Len | Epoch |
---|---|---|---|---|---|---|---|
1.5709 | 1.4221 | 0.5051 | 0.3691 | 0.4735 | 0.4739 | 18.268 | 0 |
1.3563 | 1.3804 | 0.5077 | 0.372 | 0.4766 | 0.4774 | 18.11 | 1 |
1.2501 | 1.4153 | 0.5105 | 0.3781 | 0.4794 | 0.4798 | 18.256 | 2 |
Framework versions
- Transformers 4.45.2
- TensorFlow 2.16.1
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
thonyyy/pegasus_indonesian_base-finetune