---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-af-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Af-En_update_pc
  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_pc

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: 1.8319
- Model Preparation Time: 0.0
- Bleu: 50.6655

## 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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Model Preparation Time | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:-------:|
| 1.5372        | 1.0   | 5105  | 1.9631          | 0.0                    | 36.5658 |
| 1.2529        | 2.0   | 10210 | 1.8745          | 0.0                    | 46.3922 |
| 1.0324        | 3.0   | 15315 | 1.7872          | 0.0                    | 47.6135 |
| 0.8459        | 4.0   | 20420 | 1.6956          | 0.0                    | 49.7908 |
| 0.6545        | 5.0   | 25525 | 1.6746          | 0.0                    | 50.3903 |
| 0.5743        | 6.0   | 30630 | 1.6951          | 0.0                    | 50.8569 |
| 0.4897        | 7.0   | 35735 | 1.6863          | 0.0                    | 50.6211 |
| 0.4328        | 8.0   | 40840 | 1.7113          | 0.0                    | 50.6402 |
| 0.3955        | 9.0   | 45945 | 1.7482          | 0.0                    | 50.7567 |
| 0.3565        | 10.0  | 51050 | 1.7655          | 0.0                    | 50.8257 |
| 0.3275        | 11.0  | 56155 | 1.7988          | 0.0                    | 50.5494 |
| 0.2696        | 12.0  | 61260 | 1.8035          | 0.0                    | 50.6981 |
| 0.2635        | 13.0  | 66365 | 1.8194          | 0.0                    | 50.6104 |
| 0.2526        | 14.0  | 71470 | 1.8190          | 0.0                    | 50.6222 |
| 0.2338        | 15.0  | 76575 | 1.8319          | 0.0                    | 50.6658 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0
- Datasets 3.5.0
- Tokenizers 0.21.1