---
language:
- zh
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: zhko_mbartLarge_50p_tokenize_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. -->

# zhko_mbartLarge_50p_tokenize_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: 1.8482
- Bleu: 30.6847
- Gen Len: 14.6895

## 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: 500
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.6487        | 1.0   | 2786  | 1.5519          | 26.5985 | 15.0925 |
| 1.1763        | 2.0   | 5572  | 1.4910          | 29.1024 | 14.8538 |
| 0.8697        | 3.0   | 8358  | 1.5510          | 29.5842 | 14.7611 |
| 0.6221        | 4.0   | 11144 | 1.6445          | 29.6959 | 14.7091 |
| 0.4444        | 5.0   | 13930 | 1.7176          | 29.6231 | 14.6204 |
| 0.3137        | 6.0   | 16716 | 1.7916          | 29.6666 | 14.524  |
| 0.2303        | 7.0   | 19502 | 1.8368          | 30.4697 | 14.5571 |
| 0.1888        | 8.0   | 22288 | 1.8482          | 30.6847 | 14.6895 |


### Framework versions

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