---
language:
- ja
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: jako_13p_tokenie_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. -->

# jako_13p_tokenie_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: 1.3560
- Bleu: 50.2114
- Gen Len: 18.2159

## 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: 200
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.2125        | 0.83  | 1600  | 1.1356          | 44.2732 | 18.9394 |
| 0.8519        | 1.66  | 3200  | 1.0618          | 47.1622 | 18.3936 |
| 0.6394        | 2.49  | 4800  | 1.0923          | 47.7818 | 18.3397 |
| 0.532         | 3.32  | 6400  | 1.1294          | 48.4283 | 18.3375 |
| 0.3543        | 4.15  | 8000  | 1.1765          | 47.7916 | 18.4422 |
| 0.2569        | 4.99  | 9600  | 1.2103          | 48.1268 | 18.5385 |
| 0.1732        | 5.82  | 11200 | 1.2549          | 48.9329 | 18.2085 |
| 0.1228        | 6.65  | 12800 | 1.3022          | 49.0248 | 18.2133 |
| 0.0937        | 7.48  | 14400 | 1.3179          | 49.3503 | 18.1673 |
| 0.0627        | 8.31  | 16000 | 1.3409          | 49.5551 | 18.2672 |
| 0.0558        | 9.14  | 17600 | 1.3545          | 49.7808 | 18.2815 |
| 0.0442        | 9.97  | 19200 | 1.3560          | 50.2114 | 18.2159 |


### Framework versions

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