metadata
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
datasets:
- id_liputan6
metrics:
- rouge
model-index:
- name: liputan6-pt-pl5
results: []
liputan6-pt-pl5
This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on the id_liputan6 dataset. It achieves the following results on the evaluation set:
- Loss: 3.8205
- Rouge1: 18.6328
- Rouge2: 4.2703
- Rougel: 15.6625
- Rougelsum: 16.9103
- Gen Len: 30.177
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 |
|---|---|---|---|---|---|---|---|---|
| 4.799 | 1.0 | 63 | 4.1142 | 13.0788 | 2.2394 | 10.8409 | 11.8062 | 40.873 |
| 4.179 | 2.0 | 126 | 3.9928 | 16.7604 | 3.2541 | 13.8889 | 15.1654 | 32.962 |
| 3.9656 | 3.0 | 189 | 3.8832 | 18.1366 | 3.9918 | 15.2392 | 16.4266 | 30.549 |
| 3.8038 | 4.0 | 252 | 3.8552 | 18.2504 | 4.0948 | 15.4777 | 16.7374 | 28.411 |
| 3.6617 | 5.0 | 315 | 3.8205 | 18.6328 | 4.2703 | 15.6625 | 16.9103 | 30.177 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1