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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-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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# indosum-base-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: 0.7690 |
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- Rouge1: 71.9504 |
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- Rouge2: 64.7658 |
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- Rougel: 68.7524 |
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- Rougelsum: 70.9978 |
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- Gen Len: 99.2 |
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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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| 1.1937 | 1.0 | 892 | 0.8370 | 64.7751 | 56.7545 | 61.4956 | 63.81 | 90.984 | |
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| 0.6828 | 2.0 | 1784 | 0.6911 | 69.9628 | 62.6338 | 66.8253 | 69.0763 | 101.1173 | |
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| 0.4847 | 3.0 | 2676 | 0.6692 | 69.9807 | 62.5614 | 66.7619 | 69.0683 | 95.6133 | |
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| 0.3348 | 4.0 | 3568 | 0.7029 | 70.9247 | 63.6191 | 67.7749 | 70.0079 | 100.1547 | |
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| 0.1988 | 5.0 | 4460 | 0.7690 | 71.4437 | 64.1873 | 68.2379 | 70.5264 | 98.6667 | |
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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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