---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Nso-En_update3
  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. -->

# Nso-En_update3

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-nso-en](https://huggingface.co/Helsinki-NLP/opus-mt-nso-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6854
- Bleu: 21.2223

## 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: 32
- 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    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 3.5054        | 1.0   | 1734  | 3.1912          | 16.5243 |
| 3.0368        | 2.0   | 3468  | 2.9680          | 18.0237 |
| 2.6866        | 3.0   | 5202  | 2.8594          | 19.5515 |
| 2.51          | 4.0   | 6936  | 2.7916          | 20.1468 |
| 2.3754        | 5.0   | 8670  | 2.7438          | 20.0535 |
| 2.2534        | 6.0   | 10404 | 2.7186          | 20.7329 |
| 2.144         | 7.0   | 12138 | 2.7034          | 20.9116 |
| 2.0709        | 8.0   | 13872 | 2.6945          | 21.0866 |
| 2.0191        | 9.0   | 15606 | 2.6880          | 21.1577 |
| 1.9973        | 10.0  | 17340 | 2.6854          | 21.1386 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1