---
license: mit
base_model: MT-Informal-Languages/Helsinki-NLP-opus-mt-ug
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Helsinki_lg_inf_en
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/0gisv7pm)
# Helsinki_lg_inf_en

This model is a fine-tuned version of [MT-Informal-Languages/Helsinki-NLP-opus-mt-ug](https://huggingface.co/MT-Informal-Languages/Helsinki-NLP-opus-mt-ug) on the Luganda Formal Data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0505
- Bleu: 57.3885
- Gen Len: 17.3595

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 153  | 0.4708          | 0.9369  | 19.2244 |
| No log        | 2.0   | 306  | 0.4227          | 1.1005  | 20.8706 |
| No log        | 3.0   | 459  | 0.3854          | 1.4207  | 19.8702 |
| 1.1563        | 4.0   | 612  | 0.3519          | 1.7877  | 19.5442 |
| 1.1563        | 5.0   | 765  | 0.3216          | 2.4366  | 18.7977 |
| 1.1563        | 6.0   | 918  | 0.2929          | 3.0827  | 18.6413 |
| 0.375         | 7.0   | 1071 | 0.2677          | 3.9367  | 19.2035 |
| 0.375         | 8.0   | 1224 | 0.2427          | 5.605   | 18.5111 |
| 0.375         | 9.0   | 1377 | 0.2192          | 7.0359  | 18.6204 |
| 0.2959        | 10.0  | 1530 | 0.1980          | 9.5819  | 17.8284 |
| 0.2959        | 11.0  | 1683 | 0.1794          | 11.9364 | 17.7428 |
| 0.2959        | 12.0  | 1836 | 0.1621          | 13.9353 | 18.0643 |
| 0.2959        | 13.0  | 1989 | 0.1464          | 16.9189 | 17.8714 |
| 0.2334        | 14.0  | 2142 | 0.1315          | 19.2848 | 18.0201 |
| 0.2334        | 15.0  | 2295 | 0.1189          | 22.6041 | 17.973  |
| 0.2334        | 16.0  | 2448 | 0.1085          | 25.554  | 18.0324 |
| 0.1848        | 17.0  | 2601 | 0.0992          | 28.6049 | 17.4644 |
| 0.1848        | 18.0  | 2754 | 0.0905          | 31.9759 | 17.8104 |
| 0.1848        | 19.0  | 2907 | 0.0828          | 35.5846 | 17.8108 |
| 0.1507        | 20.0  | 3060 | 0.0764          | 39.748  | 17.656  |
| 0.1507        | 21.0  | 3213 | 0.0712          | 42.3511 | 17.5602 |
| 0.1507        | 22.0  | 3366 | 0.0665          | 45.7843 | 17.5238 |
| 0.1285        | 23.0  | 3519 | 0.0628          | 48.4047 | 17.5233 |
| 0.1285        | 24.0  | 3672 | 0.0592          | 50.5559 | 17.3403 |
| 0.1285        | 25.0  | 3825 | 0.0564          | 52.0378 | 17.4443 |
| 0.1285        | 26.0  | 3978 | 0.0545          | 54.0726 | 17.579  |
| 0.1132        | 27.0  | 4131 | 0.0526          | 55.201  | 17.4017 |
| 0.1132        | 28.0  | 4284 | 0.0515          | 56.6048 | 17.4447 |
| 0.1132        | 29.0  | 4437 | 0.0508          | 57.2182 | 17.448  |
| 0.1047        | 30.0  | 4590 | 0.0505          | 57.3885 | 17.3595 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1