metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
datasets:
- id_liputan6
metrics:
- rouge
model-index:
- name: liputan6-unipelt
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: 6.2596
liputan6-unipelt
This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on the id_liputan6 canonical dataset. It achieves the following results on the evaluation set:
- Loss: 3.9181
- Rouge1: 6.2596
- Rouge2: 1.3631
- Rougel: 5.5527
- Rougelsum: 5.702
- Gen Len: 127.0
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 |
|---|---|---|---|---|---|---|---|---|
| 4.4282 | 1.0 | 63 | 3.9181 | 6.5087 | 1.1507 | 5.6509 | 5.8646 | 127.0 |
| 3.5887 | 2.0 | 126 | 3.7178 | 2.446 | 0.2311 | 2.2699 | 2.3165 | 127.0 |
| 3.2648 | 3.0 | 189 | 3.6481 | 2.5164 | 0.1545 | 2.3984 | 2.4483 | 127.0 |
| 3.0219 | 4.0 | 252 | 3.6384 | 1.8155 | 0.0676 | 1.7586 | 1.7921 | 127.0 |
| 2.8422 | 5.0 | 315 | 3.6316 | 1.8166 | 0.0438 | 1.7867 | 1.8115 | 127.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1