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---
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-lora-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-lora-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: 0.5105
- Rouge1: 72.6979
- Rouge2: 65.6731
- Rougel: 69.6184
- Rougelsum: 71.7604
- Gen Len: 102.2533
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.7809 | 1.0 | 892 | 0.5511 | 70.7387 | 63.5003 | 67.571 | 69.7824 | 100.4227 |
| 0.5981 | 2.0 | 1784 | 0.5352 | 71.407 | 64.2122 | 68.3064 | 70.4861 | 104.784 |
| 0.5542 | 3.0 | 2676 | 0.5363 | 72.3351 | 65.2788 | 69.2683 | 71.4248 | 102.4427 |
| 0.5238 | 4.0 | 3568 | 0.5148 | 72.8512 | 65.9167 | 69.8532 | 71.9591 | 102.4173 |
| 0.5034 | 5.0 | 4460 | 0.5105 | 72.6979 | 65.6731 | 69.6184 | 71.7604 | 102.2533 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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