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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-RMT-tobyoki-200 |
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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-RMT-tobyoki-200 |
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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: 2.6252 |
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- Rouge1: 14.3358 |
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- Rouge2: 2.1278 |
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- Rougel: 8.3601 |
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- Rougelsum: 11.4494 |
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- Gen Len: 2374.4 |
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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: 3e-06 |
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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: 10.0 |
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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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| No log | 1.0 | 80 | 3.6698 | 13.7458 | 1.641 | 7.2384 | 11.1015 | 5547.5 | |
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| No log | 2.0 | 160 | 3.2062 | 14.8374 | 1.7608 | 7.8979 | 11.852 | 4605.2 | |
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| No log | 3.0 | 240 | 2.9757 | 14.7957 | 1.6829 | 7.9807 | 11.6804 | 3442.6 | |
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| No log | 4.0 | 320 | 2.8127 | 15.3153 | 1.9135 | 8.4994 | 11.9208 | 2844.8 | |
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| No log | 5.0 | 400 | 2.7265 | 14.1003 | 1.9348 | 8.2344 | 11.1833 | 2497.4 | |
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| No log | 6.0 | 480 | 2.6753 | 14.3802 | 2.1414 | 8.5996 | 11.1612 | 2340.6 | |
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| 3.2173 | 7.0 | 560 | 2.6252 | 14.3358 | 2.1278 | 8.3601 | 11.4494 | 2374.4 | |
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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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