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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-base-3
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-base-3
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: 0.7690
- Rouge1: 71.9504
- Rouge2: 64.7658
- Rougel: 68.7524
- Rougelsum: 70.9978
- Gen Len: 99.2
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.1937 | 1.0 | 892 | 0.8370 | 64.7751 | 56.7545 | 61.4956 | 63.81 | 90.984 |
| 0.6828 | 2.0 | 1784 | 0.6911 | 69.9628 | 62.6338 | 66.8253 | 69.0763 | 101.1173 |
| 0.4847 | 3.0 | 2676 | 0.6692 | 69.9807 | 62.5614 | 66.7619 | 69.0683 | 95.6133 |
| 0.3348 | 4.0 | 3568 | 0.7029 | 70.9247 | 63.6191 | 67.7749 | 70.0079 | 100.1547 |
| 0.1988 | 5.0 | 4460 | 0.7690 | 71.4437 | 64.1873 | 68.2379 | 70.5264 | 98.6667 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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