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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-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-lora-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: 0.5148 |
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- Rouge1: 72.9552 |
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- Rouge2: 66.0943 |
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- Rougel: 69.9638 |
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- Rougelsum: 72.0769 |
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- Gen Len: 102.96 |
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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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| 0.7809 | 1.0 | 892 | 0.5511 | 70.7387 | 63.5003 | 67.571 | 69.7824 | 100.4227 | |
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| 0.5981 | 2.0 | 1784 | 0.5352 | 71.407 | 64.2122 | 68.3064 | 70.4861 | 104.784 | |
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| 0.5542 | 3.0 | 2676 | 0.5363 | 72.3351 | 65.2788 | 69.2683 | 71.4248 | 102.4427 | |
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| 0.5238 | 4.0 | 3568 | 0.5148 | 72.8512 | 65.9167 | 69.8532 | 71.9591 | 102.4173 | |
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| 0.5034 | 5.0 | 4460 | 0.5105 | 72.6979 | 65.6731 | 69.6184 | 71.7604 | 102.2533 | |
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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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