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

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:

Before training:
- Loss: 3.17
- Bleu: 14.513

After Training
- Loss: 1.3320
- Bleu: 36.7687

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.7082        | 1.0   | 5929  | 1.6902          | 32.1311 |
| 1.4606        | 2.0   | 11858 | 1.4996          | 34.1129 |
| 1.3182        | 3.0   | 17787 | 1.4107          | 35.7428 |
| 1.2543        | 4.0   | 23716 | 1.3631          | 36.2009 |
| 1.2116        | 5.0   | 29645 | 1.3389          | 36.5876 |
| 1.1723        | 6.0   | 35574 | 1.3320          | 36.7481 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1