---
license: cc-by-nc-sa-4.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-zh-ja-en-trimmed-fine-tuned-v1
  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. -->

# mt5-zh-ja-en-trimmed-fine-tuned-v1

This model is a fine-tuned version of [K024/mt5-zh-ja-en-trimmed](https://huggingface.co/K024/mt5-zh-ja-en-trimmed) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0225
- Bleu: 0.0

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1