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bart-base-japanese-tobyoki-pairwise-wo_space

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update model card README.md

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@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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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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  ### 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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  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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  ### 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