|
|
--- |
|
|
language: |
|
|
- id |
|
|
license: apache-2.0 |
|
|
base_model: LazarusNLP/IndoNanoT5-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- rouge |
|
|
model-index: |
|
|
- name: summarization-pt-2 |
|
|
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-2 |
|
|
|
|
|
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: 1.2686 |
|
|
- Rouge1: 0.4301 |
|
|
- Rouge2: 0.0 |
|
|
- Rougel: 0.4298 |
|
|
- Rougelsum: 0.4299 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
|
|
| 3.0441 | 1.0 | 894 | 1.9891 | 0.6966 | 0.0 | 0.698 | 0.6962 | 1.0 | |
|
|
| 2.4037 | 2.0 | 1788 | 1.6702 | 0.7078 | 0.0 | 0.7135 | 0.7146 | 1.0 | |
|
|
| 2.1345 | 3.0 | 2682 | 1.4640 | 0.6592 | 0.0 | 0.66 | 0.6572 | 1.0 | |
|
|
| 1.9436 | 4.0 | 3576 | 1.3521 | 0.6535 | 0.0 | 0.6545 | 0.6547 | 1.0 | |
|
|
| 1.7989 | 5.0 | 4470 | 1.2686 | 0.6818 | 0.0 | 0.6864 | 0.6834 | 1.0 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.40.2 |
|
|
- Pytorch 2.3.1+cu121 |
|
|
- Datasets 2.20.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
