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---
library_name: transformers
license: apache-2.0
base_model: thonyyy/pegasus_indonesian_base-finetune
tags:
- generated_from_keras_callback
model-index:
- name: arthd24/pegasus_base_informative_1
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# arthd24/pegasus_base_informative_1
This model is a fine-tuned version of [thonyyy/pegasus_indonesian_base-finetune](https://huggingface.co/thonyyy/pegasus_indonesian_base-finetune) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.1919
- Validation Loss: 1.2975
- Train Rouge1: 0.5325
- Train Rouge2: 0.3875
- Train Rougel: 0.4988
- Train Rougelsum: 0.498
- Train Gen Len: 17.8831
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.5154 | 1.3300 | 0.5088 | 0.3539 | 0.4732 | 0.4729 | 17.5355 | 0 |
| 1.3117 | 1.3229 | 0.5228 | 0.3767 | 0.4871 | 0.4866 | 17.8681 | 1 |
| 1.1919 | 1.2975 | 0.5325 | 0.3875 | 0.4988 | 0.498 | 17.8831 | 2 |
### Framework versions
- Transformers 4.45.2
- TensorFlow 2.16.1
- Datasets 3.0.1
- Tokenizers 0.20.0
|