metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-base-4
results: []
summarization-base-4
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: 0.4923
- Rouge1: 0.3905
- Rouge2: 0.0
- Rougel: 0.3898
- Rougelsum: 0.3916
- 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 |
---|---|---|---|---|---|---|---|---|
0.6327 | 1.0 | 3567 | 0.4634 | 0.3795 | 0.0 | 0.3806 | 0.3802 | 1.0 |
0.4349 | 2.0 | 7134 | 0.4541 | 0.3596 | 0.0 | 0.3615 | 0.3631 | 1.0 |
0.3376 | 3.0 | 10701 | 0.4562 | 0.4121 | 0.0 | 0.4123 | 0.4116 | 1.0 |
0.2683 | 4.0 | 14268 | 0.4744 | 0.3886 | 0.0 | 0.3869 | 0.388 | 1.0 |
0.2208 | 5.0 | 17835 | 0.4923 | 0.3905 | 0.0 | 0.3898 | 0.3916 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1