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---
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-pt-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. -->
# summarization-pt-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: 1.7802
- Rouge1: 0.4152
- Rouge2: 0.0
- Rougel: 0.4133
- Rougelsum: 0.4149
- Gen Len: 1.0
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.3224 | 1.0 | 892 | 2.3843 | 0.6887 | 0.0 | 0.6879 | 0.6876 | 1.0 |
| 2.913 | 2.0 | 1784 | 2.1557 | 0.7307 | 0.0 | 0.7301 | 0.7315 | 1.0 |
| 2.7028 | 3.0 | 2676 | 1.9775 | 0.7149 | 0.0 | 0.7155 | 0.7105 | 1.0 |
| 2.5387 | 4.0 | 3568 | 1.8682 | 0.7337 | 0.0 | 0.731 | 0.7295 | 1.0 |
| 2.4084 | 5.0 | 4460 | 1.7802 | 0.696 | 0.0 | 0.6965 | 0.6913 | 1.0 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|