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README.md
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---
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license: cc-by-sa-4.0
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: bart-base-japanese-tobyoki-pairwise-wo_space
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-base-japanese-tobyoki-pairwise-wo_space
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This model is a fine-tuned version of [ku-nlp/bart-base-japanese](https://huggingface.co/ku-nlp/bart-base-japanese) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2694
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- Rouge1: 18.7407
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- Rouge2: 3.1211
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- Rougel: 10.9379
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- Rougelsum: 15.8203
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- Gen Len: 95.0245
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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| 0.7833 | 1.0 | 2025 | 2.5751 | 16.3343 | 1.2888 | 11.0128 | 15.2802 | 65.3776 |
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| 0.3308 | 2.0 | 4050 | 2.9423 | 17.9514 | 2.8091 | 10.9133 | 15.4068 | 91.6503 |
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| 0.2302 | 3.0 | 6075 | 3.0625 | 16.1453 | 3.0026 | 10.272 | 14.0716 | 77.1993 |
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| 0.1576 | 4.0 | 8100 | 3.2308 | 17.8409 | 2.9937 | 10.8765 | 15.6203 | 88.3986 |
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| 0.1055 | 5.0 | 10125 | 3.2694 | 18.7407 | 3.1211 | 10.9379 | 15.8203 | 95.0245 |
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### Framework versions
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- Transformers 4.30.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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