metadata

license: apache-2.0
base_model: google/mt5-base
tags:
  - generated_from_trainer
datasets:
  - xlsum
model-index:
  - name: mt5-base-xlsum-ja
    results: []
language:
  - ja
library_name: transformers
pipeline_tag: summarization

mt5-base-xlsum-ja

This model is a fine-tuned version of 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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 90
num_epochs: 10

Training results

Framework versions

Transformers 4.34.0
Pytorch 2.0.0+cu118
Datasets 2.14.5
Tokenizers 0.14.0