---
license: mit
base_model: indobenchmark/indobart-v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: indobart-combined-jv-id
  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. -->

# indobart-combined-jv-id

This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6285
- Bleu: 16.9732
- Gen Len: 19.4429

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 94   | 0.8084          | 11.1865 | 19.5232 |
| No log        | 2.0   | 188  | 0.7259          | 13.1223 | 19.478  |
| No log        | 3.0   | 282  | 0.6905          | 14.6859 | 19.4366 |
| No log        | 4.0   | 376  | 0.6682          | 15.2578 | 19.4216 |
| No log        | 5.0   | 470  | 0.6536          | 15.9459 | 19.4366 |
| 0.8734        | 6.0   | 564  | 0.6439          | 16.3189 | 19.4115 |
| 0.8734        | 7.0   | 658  | 0.6367          | 16.7353 | 19.4228 |
| 0.8734        | 8.0   | 752  | 0.6327          | 16.9575 | 19.4529 |
| 0.8734        | 9.0   | 846  | 0.6300          | 17.093  | 19.4442 |
| 0.8734        | 10.0  | 940  | 0.6285          | 16.9732 | 19.4429 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3