---
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_exp20p_linear
  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_exp20p_linear

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: 1.1514
- Bleu: 29.2703
- Gen Len: 18.512

## 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: 2000
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step  | Bleu    | Gen Len | Validation Loss |
|:-------------:|:-----:|:-----:|:-------:|:-------:|:---------------:|
| 1.3977        | 0.46  | 4000  | 22.7153 | 18.7135 | 1.3720          |
| 1.2824        | 0.93  | 8000  | 24.8579 | 18.7821 | 1.2633          |
| 1.1989        | 1.39  | 12000 | 26.2533 | 18.7975 | 1.2069          |
| 1.1534        | 1.86  | 16000 | 26.1503 | 19.2075 | 1.1907          |
| 1.0245        | 2.32  | 20000 | 27.8764 | 18.6046 | 1.1464          |
| 1.0186        | 2.78  | 24000 | 28.4585 | 18.6731 | 1.1286          |
| 0.9245        | 3.25  | 28000 | 1.1264  | 28.4834 | 18.5428         |
| 0.9343        | 3.71  | 32000 | 1.1182  | 28.8235 | 18.7833         |
| 0.8215        | 4.18  | 36000 | 1.1331  | 28.6134 | 18.5656         |
| 0.8456        | 4.64  | 40000 | 1.1203  | 28.7324 | 18.459          |
| 0.7437        | 5.11  | 44000 | 1.1458  | 28.7297 | 18.7835         |
| 0.7829        | 5.57  | 48000 | 1.1367  | 28.8328 | 18.6052         |
| 0.7434        | 6.03  | 52000 | 1.1697  | 28.2106 | 18.4871         |
| 0.7153        | 6.5   | 56000 | 1.1771  | 28.1455 | 18.7413         |
| 0.6996        | 6.96  | 60000 | 1.1514  | 29.2694 | 18.5162         |
| 0.6336        | 7.43  | 64000 | 1.2213  | 28.1465 | 18.5439         |
| 0.7218        | 7.89  | 68000 | 1.1835  | 28.2245 | 18.5246         |
| 0.5934        | 8.35  | 72000 | 1.2387  | 28.3836 | 18.6717         |
| 0.5723        | 8.82  | 76000 | 1.2323  | 28.5925 | 18.5566         |


### Framework versions

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