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-lora-8
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: 44.041
liputan6-lora-8
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: 0.2482
- Rouge1: 44.041
- Rouge2: 35.4021
- Rougel: 40.435
- Rougelsum: 42.6248
- Gen Len: 60.602
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4611 | 1.0 | 63 | 0.4168 | 20.2294 | 15.1672 | 18.3462 | 19.5551 | 26.342 |
| 0.6123 | 2.0 | 126 | 0.3030 | 42.4943 | 33.9837 | 39.042 | 40.9843 | 54.709 |
| 0.4836 | 3.0 | 189 | 0.2516 | 39.2983 | 30.3972 | 36.1696 | 37.7681 | 48.258 |
| 0.4256 | 4.0 | 252 | 0.2482 | 42.8202 | 33.9496 | 39.2137 | 41.343 | 54.56 |
| 0.4014 | 5.0 | 315 | 0.2389 | 42.5107 | 33.6017 | 39.0118 | 41.0601 | 55.005 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1