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: 0.6844
- Rouge1: 0.3969
- Rouge2: 0.0
- Rougel: 0.3981
- Rougelsum: 0.3962
- 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: 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 |
| 1.2322 |
1.0 |
892 |
0.7490 |
0.7095 |
0.0 |
0.7102 |
0.7047 |
1.0 |
| 0.6879 |
2.0 |
1784 |
0.6347 |
0.7342 |
0.0 |
0.7339 |
0.7326 |
1.0 |
| 0.4916 |
3.0 |
2676 |
0.6007 |
0.7021 |
0.0 |
0.7036 |
0.7024 |
1.0 |
| 0.3445 |
4.0 |
3568 |
0.6270 |
0.7205 |
0.0 |
0.7213 |
0.7183 |
1.0 |
| 0.2065 |
5.0 |
4460 |
0.6844 |
0.7295 |
0.0 |
0.7315 |
0.7272 |
1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
