bart-base-japanese-tobyoki-pairwise-wo_space
This model is a fine-tuned version of ku-nlp/bart-base-japanese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2694
- Rouge1: 18.7407
- Rouge2: 3.1211
- Rougel: 10.9379
- Rougelsum: 15.8203
- Gen Len: 95.0245
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.7833 | 1.0 | 2025 | 2.5751 | 16.3343 | 1.2888 | 11.0128 | 15.2802 | 65.3776 |
| 0.3308 | 2.0 | 4050 | 2.9423 | 17.9514 | 2.8091 | 10.9133 | 15.4068 | 91.6503 |
| 0.2302 | 3.0 | 6075 | 3.0625 | 16.1453 | 3.0026 | 10.272 | 14.0716 | 77.1993 |
| 0.1576 | 4.0 | 8100 | 3.2308 | 17.8409 | 2.9937 | 10.8765 | 15.6203 | 88.3986 |
| 0.1055 | 5.0 | 10125 | 3.2694 | 18.7407 | 3.1211 | 10.9379 | 15.8203 | 95.0245 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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