Training_2
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- pytorch_model.bin +1 -1
README.md
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This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2643
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- Rouge1: 38.
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- Rouge2: 18.
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- Rougel: 38.
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- Rougelsum: 38.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 1.7691 | 1.0 | 1110 | 1.4005 | 37.
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| 1.4892 | 2.0 | 2220 | 1.3477 | 35.
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| 1.3579 | 3.0 | 3330 | 1.3079 | 37.
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| 1.2708 | 4.0 | 4440 | 1.2675 | 37.
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| 1.2006 | 5.0 | 5550 | 1.2703 | 38.
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| 1.1519 | 6.0 | 6660 | 1.2703 | 38.
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| 1.1132 | 7.0 | 7770 | 1.2593 | 38.
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| 1.0932 | 8.0 | 8880 | 1.2643 | 38.
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### Framework versions
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This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2643
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- Rouge1: 38.9266
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- Rouge2: 18.0587
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- Rougel: 38.1447
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- Rougelsum: 38.1337
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 1.7691 | 1.0 | 1110 | 1.4005 | 37.7689 | 17.7394 | 36.8468 | 36.8842 |
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| 1.4892 | 2.0 | 2220 | 1.3477 | 35.9349 | 16.8403 | 35.1786 | 35.2055 |
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| 1.3579 | 3.0 | 3330 | 1.3079 | 37.7579 | 17.6421 | 36.8439 | 36.8182 |
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| 1.2708 | 4.0 | 4440 | 1.2675 | 37.867 | 17.3909 | 36.9706 | 36.987 |
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| 1.2006 | 5.0 | 5550 | 1.2703 | 38.8218 | 17.9772 | 38.001 | 37.9811 |
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| 1.1519 | 6.0 | 6660 | 1.2703 | 38.0351 | 17.5386 | 37.209 | 37.1815 |
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| 1.1132 | 7.0 | 7770 | 1.2593 | 38.4673 | 17.8343 | 37.529 | 37.5268 |
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| 1.0932 | 8.0 | 8880 | 1.2643 | 38.9266 | 18.0587 | 38.1447 | 38.1337 |
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### Framework versions
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pytorch_model.bin
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size 977334453
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