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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: summarization-lora-2 |
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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-lora-2 |
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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: 0.4683 |
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- Rouge1: 0.3952 |
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- Rouge2: 0.0 |
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- Rougel: 0.3892 |
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- Rougelsum: 0.3933 |
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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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| 0.7823 | 1.0 | 894 | 0.5092 | 0.6551 | 0.0 | 0.6537 | 0.6535 | 1.0 | |
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| 0.6005 | 2.0 | 1788 | 0.4769 | 0.6706 | 0.0 | 0.6693 | 0.6688 | 1.0 | |
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| 0.5564 | 3.0 | 2682 | 0.4768 | 0.6725 | 0.0 | 0.6709 | 0.6731 | 1.0 | |
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| 0.5269 | 4.0 | 3576 | 0.4667 | 0.6722 | 0.0 | 0.6726 | 0.6742 | 1.0 | |
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| 0.5061 | 5.0 | 4470 | 0.4683 | 0.6725 | 0.0 | 0.6711 | 0.6719 | 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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