---
language:
- ko
- zh
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tst-translation-output5
  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. -->

# tst-translation-output5

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: 1.3149
- Bleu: 12.1284
- Gen Len: 15.2902

## 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
- total_train_batch_size: 16
- 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: 1500
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.3822        | 0.86  | 2000  | 1.3693          | 8.4562  | 15.8491 |
| 1.0081        | 1.71  | 4000  | 1.2806          | 11.3956 | 15.239  |
| 0.7007        | 2.57  | 6000  | 1.3149          | 12.0444 | 15.34   |
| 0.4483        | 3.43  | 8000  | 1.4177          | 11.5647 | 15.2139 |
| 0.2837        | 4.29  | 10000 | 1.5126          | 11.1306 | 15.2984 |
| 0.2276        | 5.14  | 12000 | 1.5938          | 11.1467 | 15.2992 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0