---
language:
- ko
- ja
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbartLarge_koja_mid2_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. -->

# mbartLarge_koja_mid2_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: 1.1251
- Bleu: 30.7351
- Gen Len: 18.1559

## 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: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.1823        | 1.0   | 11354 | 1.1695          | 29.4501 | 18.8118 |
| 0.9207        | 2.0   | 22708 | 1.1251          | 30.842  | 18.0892 |
| 0.7127        | 3.0   | 34062 | 1.1687          | 31.2642 | 18.1188 |
| 0.5406        | 4.0   | 45416 | 1.2619          | 30.9531 | 17.9958 |
| 0.4027        | 5.0   | 56770 | 1.3789          | 30.7923 | 18.0582 |
| 0.286         | 6.0   | 68124 | 1.4784          | 30.9393 | 18.1183 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1