metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-base-3
results: []
summarization-base-3
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: 0.5374
- Rouge1: 0.4096
- Rouge2: 0.0
- Rougel: 0.4081
- Rougelsum: 0.4102
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.6296 | 1.0 | 3568 | 0.5221 | 0.3678 | 0.0 | 0.3666 | 0.3673 | 1.0 |
| 0.4308 | 2.0 | 7136 | 0.4927 | 0.4034 | 0.0 | 0.3999 | 0.4032 | 1.0 |
| 0.3347 | 3.0 | 10704 | 0.5028 | 0.4081 | 0.0 | 0.407 | 0.4083 | 1.0 |
| 0.2655 | 4.0 | 14272 | 0.5221 | 0.4264 | 0.0 | 0.4239 | 0.4268 | 1.0 |
| 0.2179 | 5.0 | 17840 | 0.5374 | 0.4096 | 0.0 | 0.4081 | 0.4102 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1