---
language:
- en
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: enko_mbartLarge_36p_tokenize_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_36p_tokenize_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: 1.1249
- Bleu: 38.8566
- Gen Len: 16.4716

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.3157        | 0.46  | 5000  | 1.2895          | 34.4176 | 16.4931 |
| 1.2575        | 0.93  | 10000 | 1.2279          | 35.0029 | 16.8009 |
| 1.1578        | 1.39  | 15000 | 1.1733          | 36.9282 | 16.5838 |
| 1.0885        | 1.86  | 20000 | 1.1464          | 37.6913 | 16.6649 |
| 1.0451        | 2.32  | 25000 | 1.1437          | 37.7875 | 16.5188 |
| 1.0465        | 2.79  | 30000 | 1.1425          | 37.895  | 16.4987 |
| 1.0156        | 3.25  | 35000 | 1.1464          | 37.8434 | 16.5515 |
| 0.9893        | 3.72  | 40000 | 1.1544          | 37.358  | 16.6096 |
| 0.8779        | 4.18  | 45000 | 1.1419          | 38.1772 | 16.457  |
| 0.8565        | 4.65  | 50000 | 1.1249          | 38.8455 | 16.4749 |
| 0.7293        | 5.11  | 55000 | 1.1566          | 38.4853 | 16.3462 |
| 0.7294        | 5.57  | 60000 | 1.1824          | 37.8822 | 16.3295 |
| 0.7254        | 6.04  | 65000 | 1.2153          | 37.3612 | 16.381  |


### Framework versions

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