---
language:
- en
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: enko_mbartLarge_100p_run1
  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. -->

# enko_mbartLarge_100p_run1

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: 0.6636
- Bleu: 55.7536
- Gen Len: 15.2192

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2500
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.8673        | 1.0   | 63586  | 0.7307          | 52.6771 | 15.2057 |
| 0.7184        | 2.0   | 127173 | 0.6737          | 55.1744 | 15.3621 |
| 0.6294        | 3.0   | 190759 | 0.6636          | 55.7536 | 15.2192 |
| 0.5313        | 4.0   | 254346 | 0.6860          | 55.9422 | 15.2674 |
| 0.4325        | 5.0   | 317932 | 0.7183          | 56.2388 | 15.235  |
| 0.3525        | 6.0   | 381519 | 0.7727          | 55.8867 | 15.2207 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0