metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-pt-0
results: []
summarization-pt-0
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: 2.2597
- Rouge1: 0.4544
- Rouge2: 0.0
- Rougel: 0.4545
- Rougelsum: 0.4552
- 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: 8
- 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 |
---|---|---|---|---|---|---|---|---|
3.5583 | 1.0 | 1783 | 2.6005 | 0.4848 | 0.0 | 0.4883 | 0.4866 | 1.0 |
3.0833 | 2.0 | 3566 | 2.4167 | 0.4635 | 0.0 | 0.4663 | 0.4673 | 1.0 |
2.9538 | 3.0 | 5349 | 2.3432 | 0.5124 | 0.0 | 0.5075 | 0.5087 | 1.0 |
2.8804 | 4.0 | 7132 | 2.2964 | 0.4384 | 0.0 | 0.4392 | 0.4405 | 1.0 |
2.8424 | 5.0 | 8915 | 2.2597 | 0.4544 | 0.0 | 0.4545 | 0.4552 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1