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

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-tn](https://huggingface.co/Helsinki-NLP/opus-mt-en-tn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.13002
- Bleu: 39.1470

## 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

|Epoch| 	Training Loss |	 Validation Loss|  	Bleu |
|:---:|:---------------:|:----------------:|:-------:|
| 1   | 1.929300        |	1.884056        | 29.762382|
| 2   | 1.637300        |	1.605588        | 32.846868|
| 3   | 1.500000        |	1.457442        | 34.307484|
| 4   | 1.402400        |	1.356578        | 35.423774|
| 5 	| 1.324000        |	1.276492        | 36.553368|
| 6 	| 1.251300        |	1.221768        | 37.464270|
| 7 	| 1.224700        |	1.181320        | 38.157490|
| 8 	| 1.193200        |	1.152997        | 38.800566|
| 9 	| 1.166700        |	1.136147      	| 38.985707|
| 10  | 1.142500        |	1.130020      	| 39.209327|

### Framework versions

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