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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-base-1 |
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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-base-1 |
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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: 0.7478 |
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- Rouge1: 72.3325 |
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- Rouge2: 65.1065 |
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- Rougel: 69.2256 |
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- Rougelsum: 71.5325 |
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- Gen Len: 99.4045 |
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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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| 1.1904 | 1.0 | 892 | 0.8053 | 65.8257 | 57.6167 | 62.6222 | 65.0027 | 95.8598 | |
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| 0.6851 | 2.0 | 1784 | 0.6779 | 67.8889 | 60.0878 | 64.5868 | 66.9914 | 96.2911 | |
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| 0.4856 | 3.0 | 2676 | 0.6460 | 70.9241 | 63.6363 | 67.8555 | 70.153 | 96.9212 | |
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| 0.3358 | 4.0 | 3568 | 0.6565 | 69.9002 | 62.4 | 66.5928 | 69.0347 | 101.8745 | |
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| 0.1973 | 5.0 | 4460 | 0.7478 | 72.0587 | 64.7973 | 68.9279 | 71.3028 | 99.3765 | |
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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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