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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: thonyyy/pegasus_indonesian_base-finetune |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: arthd24/pegasus_informative_10k |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# arthd24/pegasus_informative_10k |
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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. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.0055 |
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- Validation Loss: 1.2492 |
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- Train Rouge1: 0.5239 |
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- Train Rouge2: 0.383 |
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- Train Rougel: 0.4921 |
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- Train Rougelsum: 0.4922 |
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- Train Bertscore F1: 0.8071 |
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- Train Gen Len: 18.0561 |
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- Epoch: 0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Bertscore F1 | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:------------------:|:-------------:|:-----:| |
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| 1.0055 | 1.2492 | 0.5239 | 0.383 | 0.4921 | 0.4922 | 0.8071 | 18.0561 | 0 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- TensorFlow 2.16.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.0 |
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