---
tags:
- generated_from_trainer
model-index:
- name: ko-jeolla-nmt-v2
  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. -->

# ko-jeolla-nmt-v2

This model is a fine-tuned version of [leadawon/ko-jeolla-nmt-v1](https://huggingface.co/leadawon/ko-jeolla-nmt-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2911

## 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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2926        | 0.17  | 500  | 0.3283          |
| 0.3111        | 0.33  | 1000 | 0.3344          |
| 0.3009        | 0.5   | 1500 | 0.3138          |
| 0.2868        | 0.66  | 2000 | 0.3030          |
| 0.2653        | 0.83  | 2500 | 0.2969          |
| 0.2493        | 0.99  | 3000 | 0.2911          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2