|
--- |
|
language: |
|
- id |
|
license: apache-2.0 |
|
base_model: LazarusNLP/IndoNanoT5-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- id_liputan6 |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: liputan6-pt-pl50 |
|
results: |
|
- task: |
|
name: Summarization |
|
type: summarization |
|
dataset: |
|
name: id_liputan6 canonical |
|
type: id_liputan6 |
|
config: canonical |
|
split: validation |
|
args: canonical |
|
metrics: |
|
- name: Rouge1 |
|
type: rouge |
|
value: 35.5686 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# liputan6-pt-pl50 |
|
|
|
This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co./LazarusNLP/IndoNanoT5-base) on the id_liputan6 canonical dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.6722 |
|
- Rouge1: 35.5686 |
|
- Rouge2: 23.5102 |
|
- Rougel: 31.8451 |
|
- Rougelsum: 33.6584 |
|
- Gen Len: 49.748 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| 4.2782 | 1.0 | 63 | 3.2600 | 25.0139 | 13.1669 | 22.4852 | 23.5026 | 38.037 | |
|
| 3.3831 | 2.0 | 126 | 3.0118 | 28.0005 | 15.5199 | 25.1006 | 26.3175 | 51.621 | |
|
| 3.0732 | 3.0 | 189 | 2.8226 | 31.6641 | 18.1569 | 27.8004 | 29.8463 | 51.938 | |
|
| 2.83 | 4.0 | 252 | 2.7181 | 34.3328 | 21.5065 | 30.323 | 32.3623 | 51.327 | |
|
| 2.6441 | 5.0 | 315 | 2.6722 | 34.8229 | 22.044 | 30.8324 | 33.0138 | 52.623 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
