---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Nso_update2
  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. -->

# En-Nso_update2

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-nso](https://huggingface.co/Helsinki-NLP/opus-mt-en-nso) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4199
- Bleu: 24.4776

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 3.6661        | 1.0   | 865   | 3.0081          | 17.6871 |
| 2.7495        | 2.0   | 1730  | 2.7725          | 20.1475 |
| 2.4533        | 3.0   | 2595  | 2.6433          | 22.5433 |
| 2.3203        | 4.0   | 3460  | 2.5625          | 22.9963 |
| 2.1356        | 5.0   | 4325  | 2.5190          | 23.5696 |
| 2.0258        | 6.0   | 5190  | 2.4881          | 23.8367 |
| 1.9481        | 7.0   | 6055  | 2.4641          | 24.0611 |
| 1.8769        | 8.0   | 6920  | 2.4526          | 24.3214 |
| 1.8211        | 9.0   | 7785  | 2.4392          | 24.5300 |
| 1.7689        | 10.0  | 8650  | 2.4307          | 24.4627 |
| 1.7314        | 11.0  | 9515  | 2.4254          | 24.4936 |
| 1.7           | 12.0  | 10380 | 2.4243          | 24.4673 |
| 1.6695        | 13.0  | 11245 | 2.4202          | 24.5613 |
| 1.6562        | 14.0  | 12110 | 2.4200          | 24.4886 |
| 1.6446        | 15.0  | 12975 | 2.4199          | 24.4711 |


### Framework versions

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