---
language:
- ko
- en
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ko-en_mbartLarge_exp5p
  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-en_mbartLarge_exp5p

This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2328
- Bleu: 26.5495
- Gen Len: 18.4213

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.6447        | 0.46  | 1000  | 1.5338          | 20.0927 | 18.3986 |
| 1.4737        | 0.93  | 2000  | 1.4057          | 22.6168 | 18.5462 |
| 1.3708        | 1.39  | 3000  | 1.3645          | 23.158  | 18.5132 |
| 1.3357        | 1.86  | 4000  | 1.3166          | 24.2178 | 18.4343 |
| 1.2274        | 2.32  | 5000  | 1.2854          | 24.8105 | 18.4761 |
| 1.2113        | 2.78  | 6000  | 1.2622          | 25.4518 | 18.2672 |
| 1.1392        | 3.25  | 7000  | 1.2540          | 25.6184 | 18.4032 |
| 1.125         | 3.71  | 8000  | 1.2401          | 25.3848 | 18.3781 |
| 1.0423        | 4.18  | 9000  | 1.2354          | 25.9776 | 18.3387 |
| 1.011         | 4.64  | 10000 | 1.2418          | 26.1619 | 18.4858 |
| 0.9493        | 5.1   | 11000 | 1.2616          | 25.6398 | 18.2273 |
| 0.888         | 5.57  | 12000 | 1.2328          | 26.5446 | 18.438  |
| 0.8648        | 6.03  | 13000 | 1.2618          | 26.0371 | 18.4074 |
| 0.776         | 6.5   | 14000 | 1.2669          | 26.0043 | 18.4629 |
| 0.7856        | 6.96  | 15000 | 1.2592          | 26.2716 | 18.403  |
| 0.6997        | 7.42  | 16000 | 1.3154          | 25.7842 | 18.3693 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1