---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
- mt5
- summarization
datasets:
- csebuetnlp/xlsum
model-index:
- name: mt5-base-xlsum-ja-v1.1
  results: []
language:
- ja
metrics:
- rouge
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-base-xlsum-ja-v1.1

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the xlsum dataset.

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10

### Training results



### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3