---
license: apache-2.0
base_model: LazarusNLP/indo-t5-base-v2
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: TestGEC
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# TestGEC

This model is a fine-tuned version of [LazarusNLP/indo-t5-base-v2](https://huggingface.co/LazarusNLP/indo-t5-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 3.3289
- Rouge2: 0.1246
- Rougel: 3.1352
- Rougelsum: 3.1321
- Gen Len: 18.9835

## 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: 0.0008
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 4500 | nan             | 3.3289 | 0.1246 | 3.1352 | 3.1321    | 18.9835 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1