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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: 2.0850 |
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- Rouge1: 15.3454 |
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- Rouge2: 2.9489 |
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- Rougel: 10.7691 |
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- Rougelsum: 12.7028 |
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- Gen Len: 66.075 |
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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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| 2.1701 | 1.0 | 717 | 1.9507 | 12.6467 | 2.901 | 10.0035 | 11.1471 | 47.7375 | |
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| 1.4042 | 2.0 | 1434 | 1.9519 | 11.9515 | 3.096 | 10.2259 | 10.8478 | 21.1375 | |
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| 0.8952 | 3.0 | 2151 | 2.0323 | 15.5721 | 3.5875 | 10.6382 | 12.9346 | 76.35 | |
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| 0.7489 | 4.0 | 2868 | 2.0724 | 15.5769 | 3.3042 | 11.0176 | 12.8107 | 63.7625 | |
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| 0.5941 | 5.0 | 3585 | 2.0850 | 15.3454 | 2.9489 | 10.7691 | 12.7028 | 66.075 | |
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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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