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---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-pt-pl50-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# indosum-pt-pl50-0
This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1937
- Rouge1: 67.2533
- Rouge2: 57.3905
- Rougel: 64.0732
- Rougelsum: 66.2476
- Gen Len: 97.596
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 2.9265 | 1.0 | 892 | 1.8737 | 55.0839 | 40.3522 | 51.1983 | 53.7369 | 83.836 |
| 2.2409 | 2.0 | 1784 | 1.5733 | 61.4245 | 48.8132 | 57.8573 | 60.2997 | 97.0253 |
| 1.9661 | 3.0 | 2676 | 1.3583 | 63.476 | 51.6887 | 59.9726 | 62.3509 | 98.7573 |
| 1.7713 | 4.0 | 3568 | 1.2569 | 65.7891 | 54.9944 | 62.429 | 64.7377 | 98.7987 |
| 1.6308 | 5.0 | 4460 | 1.1937 | 66.4804 | 56.0803 | 63.1939 | 65.4418 | 100.6973 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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