metadata
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-base-2
results: []
summarization-base-2
This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4862
- Rouge1: 0.3867
- Rouge2: 0.0
- Rougel: 0.3833
- Rougelsum: 0.386
- 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.6352 | 1.0 | 3573 | 0.4614 | 0.3871 | 0.0 | 0.3846 | 0.3884 | 1.0 |
| 0.4361 | 2.0 | 7146 | 0.4357 | 0.3574 | 0.0 | 0.3543 | 0.3544 | 1.0 |
| 0.3391 | 3.0 | 10719 | 0.4479 | 0.3973 | 0.0 | 0.3975 | 0.4009 | 1.0 |
| 0.2686 | 4.0 | 14292 | 0.4639 | 0.4113 | 0.0 | 0.4102 | 0.4115 | 1.0 |
| 0.2221 | 5.0 | 17865 | 0.4862 | 0.3867 | 0.0 | 0.3833 | 0.386 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1