---
language:
- ko
- ja
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: koja_mbartLarge_55p_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. -->

# koja_mbartLarge_55p_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: 0.9008
- Bleu: 8.9861
- Gen Len: 17.9149

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.0254        | 0.48  | 8000  | 1.0065          | 7.1252 | 18.5403 |
| 0.9374        | 0.97  | 16000 | 0.9200          | 8.2047 | 18.2091 |
| 0.7429        | 1.45  | 24000 | 0.9086          | 8.4622 | 17.9606 |
| 0.7039        | 1.93  | 32000 | 0.9008          | 8.9198 | 17.8841 |
| 0.5616        | 2.42  | 40000 | 0.9210          | 8.7938 | 17.78   |
| 0.5355        | 2.9   | 48000 | 0.9400          | 8.6506 | 17.9146 |
| 0.4194        | 3.38  | 56000 | 1.0054          | 8.4235 | 17.6759 |
| 0.3852        | 3.86  | 64000 | 1.0154          | 8.5886 | 17.7885 |


### Framework versions

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