---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Af_update
  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-Af_update

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-af](https://huggingface.co/Helsinki-NLP/opus-mt-en-af) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8089
- Bleu: 45.1780

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.4243        | 1.0   | 2553  | 1.8451          | 42.1314 |
| 1.0987        | 2.0   | 5106  | 1.7509          | 44.0714 |
| 0.9329        | 3.0   | 7659  | 1.7340          | 44.6003 |
| 0.8365        | 4.0   | 10212 | 1.7260          | 44.7820 |
| 0.7556        | 5.0   | 12765 | 1.7590          | 45.1180 |
| 0.6944        | 6.0   | 15318 | 1.7715          | 45.1451 |
| 0.652         | 7.0   | 17871 | 1.7696          | 45.1025 |
| 0.6132        | 8.0   | 20424 | 1.8060          | 45.1781 |
| 0.5832        | 9.0   | 22977 | 1.8135          | 45.2485 |
| 0.5602        | 10.0  | 25530 | 1.8089          | 45.1730 |


### Framework versions

- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1