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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-lora-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-lora-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: 0.4876 |
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- Rouge1: 73.5772 |
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- Rouge2: 66.7059 |
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- Rougel: 70.6615 |
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- Rougelsum: 72.7397 |
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- Gen Len: 102.9213 |
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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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| 0.7749 | 1.0 | 892 | 0.5290 | 71.3679 | 64.0441 | 68.2584 | 70.462 | 103.084 | |
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| 0.5963 | 2.0 | 1784 | 0.5043 | 71.9204 | 64.8766 | 68.9265 | 71.053 | 105.9827 | |
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| 0.5524 | 3.0 | 2676 | 0.4928 | 72.0196 | 65.0022 | 69.1173 | 71.1808 | 103.2227 | |
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| 0.5236 | 4.0 | 3568 | 0.4948 | 72.454 | 65.5465 | 69.6508 | 71.6454 | 105.364 | |
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| 0.5017 | 5.0 | 4460 | 0.4876 | 73.194 | 66.308 | 70.335 | 72.3629 | 102.86 | |
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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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