transformers safetensors mbart text2text-generation generated_from_trainer ja ko base_model:facebook/mbart-large-50-many-to-many-mmt autotrain_compatible endpoints_compatible region:us
---
language:
- ja
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: enko_mbartLarge_100p_sup2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# enko_mbartLarge_100p_sup2

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: 0.6417
- Bleu: 59.1835
- Gen Len: 15.7226

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2500
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.7676        | 1.0   | 43024  | 0.7125          | 55.2526 | 16.382  |
| 0.6349        | 2.0   | 86048  | 0.6547          | 58.202  | 15.9466 |
| 0.537         | 3.0   | 129072 | 0.6417          | 59.1835 | 15.7226 |
| 0.434         | 4.0   | 172096 | 0.6589          | 59.6194 | 15.702  |
| 0.3504        | 5.0   | 215120 | 0.7117          | 59.352  | 15.7454 |
| 0.2799        | 6.0   | 258144 | 0.7784          | 59.2034 | 15.6702 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
