ja-t5-base-summary

This model is a fine-tuned version of sonoisa/t5-base-japanese on an news&summary dataset. It achieves the following results on the evaluation set:

• Loss: 1.8166
• Rouge1: 22.9414
• Rouge2: 6.7422
• Rougel: 22.3874
• Rougelsum: 22.3773
• Gen Len: 57.5169

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: 6
• eval_batch_size: 6
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.11.0
• Tokenizers 0.12.1