---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: M2M100-ja-zh
  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. -->

# M2M100-ja-zh

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the [larryvrh/CCMatrix-v1-Ja_Zh-filtered](https://huggingface.co/datasets/larryvrh/CCMatrix-v1-Ja_Zh-filtered) and [Nekofox/ja-zh-twitter-translate](https://huggingface.co/datasets/Nekofox/ja-zh-twitter-translate) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6727
- Bleu: 29.1635
- Gen Len: 19.2263

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.07
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.743         | 1.0   | 14178 | 1.6727          | 29.1635 | 19.2263 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3