---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ko-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ko-en-finetuned-en-to-ko
  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. -->

# opus-mt-ko-en-finetuned-en-to-ko

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ko-en](https://huggingface.co/Helsinki-NLP/opus-mt-ko-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8819
- Bleu: 3.0442
- Gen Len: 29.6731

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log        | 1.0   | 167  | 3.5090          | 1.476  | 100.3664 |
| No log        | 2.0   | 334  | 3.2940          | 1.563  | 54.8715  |
| 3.6569        | 3.0   | 501  | 3.1777          | 2.8026 | 34.1871  |
| 3.6569        | 4.0   | 668  | 3.0641          | 2.409  | 35.7632  |
| 3.6569        | 5.0   | 835  | 2.9988          | 3.0125 | 33.5423  |
| 3.0398        | 6.0   | 1002 | 2.9581          | 2.7402 | 27.7182  |
| 3.0398        | 7.0   | 1169 | 2.9170          | 2.7127 | 31.9346  |
| 3.0398        | 8.0   | 1336 | 2.9007          | 2.907  | 28.7711  |
| 2.8619        | 9.0   | 1503 | 2.8891          | 2.9215 | 28.9775  |
| 2.8619        | 10.0  | 1670 | 2.8819          | 3.0442 | 29.6731  |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0