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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-lg-en
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
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[<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/hnamuwaya-makerere-university-business-school/Helsinki_lg_inf_en/runs/9s0x0mb9)
# Helsinki_lg_inf_en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-lg-en](https://huggingface.co/Helsinki-NLP/opus-mt-lg-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1764
- Bleu: 22.8149
- Gen Len: 17.7776
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log | 1.0 | 153 | 0.5662 | 0.6031 | 20.9541 |
| No log | 2.0 | 306 | 0.5118 | 0.8533 | 20.1433 |
| No log | 3.0 | 459 | 0.4754 | 1.1179 | 19.9124 |
| 0.6777 | 4.0 | 612 | 0.4452 | 1.4213 | 20.2326 |
| 0.6777 | 5.0 | 765 | 0.4181 | 1.7245 | 19.2424 |
| 0.6777 | 6.0 | 918 | 0.3940 | 2.0655 | 19.5872 |
| 0.463 | 7.0 | 1071 | 0.3722 | 2.6043 | 19.2969 |
| 0.463 | 8.0 | 1224 | 0.3512 | 3.4014 | 18.864 |
| 0.463 | 9.0 | 1377 | 0.3323 | 4.0558 | 19.0541 |
| 0.3973 | 10.0 | 1530 | 0.3150 | 4.9264 | 18.878 |
| 0.3973 | 11.0 | 1683 | 0.2989 | 6.1751 | 18.1102 |
| 0.3973 | 12.0 | 1836 | 0.2845 | 6.909 | 18.405 |
| 0.3973 | 13.0 | 1989 | 0.2708 | 8.2081 | 18.1388 |
| 0.3476 | 14.0 | 2142 | 0.2589 | 9.0267 | 18.1527 |
| 0.3476 | 15.0 | 2295 | 0.2477 | 9.8007 | 18.1826 |
| 0.3476 | 16.0 | 2448 | 0.2374 | 11.2825 | 17.9705 |
| 0.309 | 17.0 | 2601 | 0.2282 | 12.38 | 17.9427 |
| 0.309 | 18.0 | 2754 | 0.2200 | 13.1971 | 18.2629 |
| 0.309 | 19.0 | 2907 | 0.2127 | 14.6993 | 18.0356 |
| 0.278 | 20.0 | 3060 | 0.2058 | 15.8696 | 17.7944 |
| 0.278 | 21.0 | 3213 | 0.2001 | 17.2214 | 17.656 |
| 0.278 | 22.0 | 3366 | 0.1951 | 18.3989 | 17.6769 |
| 0.2597 | 23.0 | 3519 | 0.1906 | 19.6026 | 17.7543 |
| 0.2597 | 24.0 | 3672 | 0.1869 | 20.6405 | 17.817 |
| 0.2597 | 25.0 | 3825 | 0.1835 | 20.7913 | 17.7273 |
| 0.2597 | 26.0 | 3978 | 0.1809 | 21.5904 | 17.7518 |
| 0.2452 | 27.0 | 4131 | 0.1789 | 21.9249 | 17.69 |
| 0.2452 | 28.0 | 4284 | 0.1775 | 22.3964 | 17.6953 |
| 0.2452 | 29.0 | 4437 | 0.1767 | 22.6803 | 17.7547 |
| 0.2379 | 30.0 | 4590 | 0.1764 | 22.8149 | 17.7776 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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