---
base_model: Helsinki-NLP/opus-mt-tc-big-en-ko
datasets:
- kde4
library_name: peft
license: cc-by-4.0
metrics:
- bleu
tags:
- tanslation
- generated_from_trainer
model-index:
- name: finetuned-kde4-en-to-ko-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned-kde4-en-to-ko-lora

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ko](https://huggingface.co./Helsinki-NLP/opus-mt-tc-big-en-ko) on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9373
- Bleu: 1.4012

## 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: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1