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

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ts](https://huggingface.co/Helsinki-NLP/opus-mt-en-ts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1258
- Bleu: 40.9729

## 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: 9

### Training results

|Epoch| 	Training Loss |	 Validation Loss|  	Bleu |
|:---:|:---------------:|:----------------:|:-------:|
| 1   | 1.650900        | 1.676816         | 31.785027|
| 2   | 1.365800        | 1.478832 	      | 35.611479|
| 3   | 1.205400        | 1.376320         | 38.719939|
| 4   | 1.022600        | 1.196519         | 38.896970|
| 5   | 0.972500        | 1.172068         | 39.887214|
| 6   | 0.917900        | 1.150850 	      | 40.174857|
| 7   | 0.896800      	| 1.136892 	      | 40.381562|
| 8 	| 0.857000      	| 1.130176         | 40.850785|
| 9 	| 0.831100      	| 1.12578          | 40.972992|


### Framework versions

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