---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Af-En_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. -->

# Af-En_update

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-af-en](https://huggingface.co/Helsinki-NLP/opus-mt-af-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7197
- Bleu: 55.3346

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.3745        | 1.0   | 2553  | 1.7537          | 51.9270 |
| 1.0462        | 2.0   | 5106  | 1.6305          | 53.9359 |
| 0.896         | 3.0   | 7659  | 1.6216          | 54.3049 |
| 0.7824        | 4.0   | 10212 | 1.6108          | 54.9902 |
| 0.6974        | 5.0   | 12765 | 1.6183          | 55.0265 |
| 0.643         | 6.0   | 15318 | 1.6207          | 55.4137 |
| 0.5635        | 7.0   | 17871 | 1.6276          | 55.1335 |
| 0.5141        | 8.0   | 20424 | 1.6498          | 55.2215 |
| 0.4681        | 9.0   | 22977 | 1.6678          | 55.2000 |
| 0.4304        | 10.0  | 25530 | 1.6797          | 55.2748 |
| 0.425         | 11.0  | 28083 | 1.7004          | 55.0478 |
| 0.398         | 12.0  | 30636 | 1.7013          | 55.3591 |
| 0.3759        | 13.0  | 33189 | 1.7082          | 55.3225 |
| 0.3681        | 14.0  | 35742 | 1.7151          | 55.1793 |
| 0.3571        | 15.0  | 38295 | 1.7197          | 55.2729 |


### Framework versions

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