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-base
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: 40.3998
liputan6-base
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: 0.5539
- Rouge1: 40.3998
- Rouge2: 30.0512
- Rougel: 37.1464
- Rougelsum: 39.0852
- Gen Len: 56.486
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 |
|---|---|---|---|---|---|---|---|---|
| 1.6488 | 1.0 | 63 | 0.7318 | 34.224 | 24.5266 | 31.0318 | 32.8875 | 65.191 |
| 0.6983 | 2.0 | 126 | 0.6433 | 37.3155 | 27.3019 | 33.9529 | 36.1013 | 65.46 |
| 0.4226 | 3.0 | 189 | 0.5831 | 36.9679 | 26.3535 | 33.5956 | 35.7604 | 59.969 |
| 0.242 | 4.0 | 252 | 0.5539 | 39.0802 | 28.4622 | 35.8085 | 37.8181 | 55.301 |
| 0.1248 | 5.0 | 315 | 0.5170 | 38.108 | 27.5573 | 34.7198 | 36.6919 | 56.589 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1