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--- |
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license: apache-2.0 |
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base_model: LazarusNLP/IndoNanoT5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: summarization-unipelt-3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# summarization-unipelt-3 |
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7173 |
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- Rouge1: 0.456 |
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- Rouge2: 0.0 |
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- Rougel: 0.457 |
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- Rougelsum: 0.4597 |
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- Gen Len: 1.0 |
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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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- learning_rate: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 2.4275 | 1.0 | 892 | 1.2781 | 0.1861 | 0.0 | 0.1881 | 0.1893 | 1.0 | |
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| 1.5017 | 2.0 | 1784 | 0.9698 | 0.2767 | 0.0 | 0.2791 | 0.2749 | 1.0 | |
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| 1.1964 | 3.0 | 2676 | 0.8235 | 0.2852 | 0.0 | 0.2836 | 0.2837 | 1.0 | |
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| 1.0261 | 4.0 | 3568 | 0.7468 | 0.4923 | 0.0 | 0.491 | 0.4914 | 1.0 | |
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| 0.9195 | 5.0 | 4460 | 0.7173 | 0.456 | 0.0 | 0.457 | 0.4597 | 1.0 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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