---
language:
- ja
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: jako_mbartLarge_6p_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_mbartLarge_6p_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: 1.1539
- Bleu: 26.2658
- Gen Len: 19.3961

## 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: 300
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.4641        | 0.48  | 1000 | 1.3276          | 21.6162 | 19.4434 |
| 1.2615        | 0.96  | 2000 | 1.1866          | 24.346  | 19.4734 |
| 0.9103        | 1.44  | 3000 | 1.1638          | 25.4249 | 19.0086 |
| 0.8285        | 1.92  | 4000 | 1.1539          | 26.2658 | 19.3961 |
| 0.5977        | 2.4   | 5000 | 1.1978          | 25.5651 | 19.6248 |
| 0.5423        | 2.88  | 6000 | 1.1830          | 26.8441 | 19.1349 |
| 0.3816        | 3.36  | 7000 | 1.2670          | 26.1301 | 19.1207 |
| 0.3412        | 3.84  | 8000 | 1.2870          | 26.7783 | 19.2417 |


### Framework versions

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