|
--- |
|
license: apache-2.0 |
|
base_model: LazarusNLP/IndoNanoT5-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- id_liputan6 |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: liputan6-base |
|
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. --> |
|
|
|
# liputan6-base |
|
|
|
This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.0398 |
|
- Rouge1: 35.4918 |
|
- Rouge2: 17.885 |
|
- Rougel: 29.6804 |
|
- Rougelsum: 32.9507 |
|
- Gen Len: 36.4740 |
|
|
|
## 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: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| 2.0683 | 1.0 | 12118 | 2.3723 | 33.423 | 16.5875 | 28.0723 | 31.0371 | 38.1132 | |
|
| 1.5342 | 2.0 | 24236 | 2.1400 | 34.4775 | 17.1757 | 28.8546 | 32.0264 | 36.7176 | |
|
| 1.241 | 3.0 | 36354 | 2.0398 | 35.4918 | 17.885 | 29.6804 | 32.9507 | 36.4740 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
