metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-pt-pl5-0
results: []
indosum-pt-pl5-0
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: 1.7467
- Rouge1: 53.1916
- Rouge2: 33.4
- Rougel: 48.1427
- Rougelsum: 51.4084
- Gen Len: 94.7093
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 |
|---|---|---|---|---|---|---|---|---|
| 3.3529 | 1.0 | 892 | 2.4031 | 38.6954 | 16.1544 | 31.8171 | 36.2119 | 95.0347 |
| 2.9862 | 2.0 | 1784 | 2.1683 | 43.9573 | 21.3807 | 37.3906 | 41.5485 | 92.3707 |
| 2.7929 | 3.0 | 2676 | 1.9973 | 44.5846 | 23.2132 | 38.5252 | 42.4754 | 100.268 |
| 2.6146 | 4.0 | 3568 | 1.8518 | 48.6507 | 27.6554 | 42.9432 | 46.628 | 98.7813 |
| 2.4702 | 5.0 | 4460 | 1.7467 | 51.1569 | 30.4226 | 45.5936 | 49.2619 | 96.5467 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1