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--- |
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language: |
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- id |
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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: indosum-pt-pl50-0 |
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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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# indosum-pt-pl50-0 |
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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: 1.1937 |
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- Rouge1: 67.2533 |
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- Rouge2: 57.3905 |
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- Rougel: 64.0732 |
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- Rougelsum: 66.2476 |
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- Gen Len: 97.596 |
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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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| 2.9265 | 1.0 | 892 | 1.8737 | 55.0839 | 40.3522 | 51.1983 | 53.7369 | 83.836 | |
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| 2.2409 | 2.0 | 1784 | 1.5733 | 61.4245 | 48.8132 | 57.8573 | 60.2997 | 97.0253 | |
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| 1.9661 | 3.0 | 2676 | 1.3583 | 63.476 | 51.6887 | 59.9726 | 62.3509 | 98.7573 | |
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| 1.7713 | 4.0 | 3568 | 1.2569 | 65.7891 | 54.9944 | 62.429 | 64.7377 | 98.7987 | |
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| 1.6308 | 5.0 | 4460 | 1.1937 | 66.4804 | 56.0803 | 63.1939 | 65.4418 | 100.6973 | |
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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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