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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