---
license: mit
base_model: indobenchmark/indobart-v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nmt-bert
  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. -->

# nmt-bert

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: 0.5134
- Bleu: 12.5276
- Gen Len: 19.7772

## 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: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.0103        | 1.0   | 503  | 0.7001          | 9.036   | 19.7452 |
| 0.666         | 2.0   | 1006 | 0.6230          | 10.5729 | 19.7332 |
| 0.5776        | 3.0   | 1509 | 0.5784          | 11.1366 | 19.7648 |
| 0.5245        | 4.0   | 2012 | 0.5548          | 11.6349 | 19.7713 |
| 0.4821        | 5.0   | 2515 | 0.5389          | 11.903  | 19.769  |
| 0.4513        | 6.0   | 3018 | 0.5299          | 12.2062 | 19.7618 |
| 0.4269        | 7.0   | 3521 | 0.5215          | 12.3633 | 19.7713 |
| 0.4097        | 8.0   | 4024 | 0.5165          | 12.4102 | 19.7787 |
| 0.3976        | 9.0   | 4527 | 0.5144          | 12.4693 | 19.7792 |
| 0.3897        | 10.0  | 5030 | 0.5134          | 12.5276 | 19.7772 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3