---
language:
- tok
- en
- multilingual
license: apache-2.0
tags:
- generated_from_trainer
- translation
metrics:
- bleu
widget:
- text: toki! mi jan Ton. mi lon ma Tawan.
- text: soweli li toki ala toki e toki Inli?
model-index:
- name: toki-en-mt
  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. -->

# toki-en-mt

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ROMANCE-en](https://huggingface.co/Helsinki-NLP/opus-mt-ROMANCE-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2840
- Bleu: 26.7612
- Gen Len: 9.0631

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.7228        | 1.0   | 1260  | 1.4572          | 19.9464 | 9.2177  |
| 1.3182        | 2.0   | 2520  | 1.3356          | 22.4628 | 9.1263  |
| 1.1241        | 3.0   | 3780  | 1.3028          | 23.5152 | 9.0462  |
| 0.9995        | 4.0   | 5040  | 1.2784          | 23.9526 | 9.1697  |
| 0.8945        | 5.0   | 6300  | 1.2739          | 24.7707 | 9.0914  |
| 0.8331        | 6.0   | 7560  | 1.2725          | 25.3477 | 9.0518  |
| 0.7641        | 7.0   | 8820  | 1.2770          | 26.165  | 9.0245  |
| 0.7163        | 8.0   | 10080 | 1.2809          | 25.8053 | 9.0933  |
| 0.6886        | 9.0   | 11340 | 1.2799          | 26.5752 | 9.0669  |
| 0.6627        | 10.0  | 12600 | 1.2840          | 26.7612 | 9.0631  |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.12.1