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: 2.2389
- Rouge1: 0.4284
- Rouge2: 0.0
- Rougel: 0.431
- Rougelsum: 0.4286
- 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 |
|---|---|---|---|---|---|---|---|---|
| 3.5006 | 1.0 | 1783 | 2.5353 | 0.571 | 0.0 | 0.5726 | 0.5713 | 1.0 |
| 2.9963 | 2.0 | 3566 | 2.3939 | 0.4906 | 0.0 | 0.4911 | 0.4909 | 1.0 |
| 2.8832 | 3.0 | 5349 | 2.3137 | 0.4144 | 0.0 | 0.4158 | 0.4144 | 1.0 |
| 2.8145 | 4.0 | 7132 | 2.2872 | 0.4356 | 0.0 | 0.435 | 0.4361 | 1.0 |
| 2.7759 | 5.0 | 8915 | 2.2389 | 0.4284 | 0.0 | 0.431 | 0.4286 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1