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Training_2

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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  license: apache-2.0
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  base_model: IlyaGusev/rut5_base_sum_gazeta
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  tags:
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- - summarization_3
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  - generated_from_trainer
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  metrics:
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  - rouge
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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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: 38.8873
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- - Rouge2: 18.108
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- - Rougel: 38.2286
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- - Rougelsum: 38.218
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  ## Model description
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@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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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 | 37.7635 | 17.8237 | 36.9332 | 36.8983 |
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- | 1.4892 | 2.0 | 2220 | 1.3477 | 35.9381 | 16.9117 | 35.2055 | 35.1935 |
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- | 1.3579 | 3.0 | 3330 | 1.3079 | 37.7523 | 17.6759 | 36.8964 | 36.8407 |
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- | 1.2708 | 4.0 | 4440 | 1.2675 | 37.8434 | 17.4778 | 37.0273 | 36.9939 |
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- | 1.2006 | 5.0 | 5550 | 1.2703 | 38.8343 | 18.0807 | 38.0242 | 38.0184 |
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- | 1.1519 | 6.0 | 6660 | 1.2703 | 38.0224 | 17.6219 | 37.2645 | 37.2133 |
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- | 1.1132 | 7.0 | 7770 | 1.2593 | 38.4827 | 17.9634 | 37.6228 | 37.6029 |
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- | 1.0932 | 8.0 | 8880 | 1.2643 | 38.8873 | 18.108 | 38.2286 | 38.218 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: IlyaGusev/rut5_base_sum_gazeta
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  tags:
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+ - summarization_4
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  - generated_from_trainer
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  metrics:
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  - rouge
 
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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: 38.9793
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+ - Rouge2: 18.084
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+ - Rougel: 38.2265
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+ - Rougelsum: 38.1398
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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 | 37.7751 | 17.8163 | 36.9543 | 36.8721 |
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+ | 1.4892 | 2.0 | 2220 | 1.3477 | 35.9415 | 16.8669 | 35.2207 | 35.1427 |
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+ | 1.3579 | 3.0 | 3330 | 1.3079 | 37.7434 | 17.6683 | 36.8899 | 36.8441 |
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+ | 1.2708 | 4.0 | 4440 | 1.2675 | 37.8746 | 17.4209 | 37.0707 | 37.0002 |
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+ | 1.2006 | 5.0 | 5550 | 1.2703 | 38.8365 | 18.0032 | 38.0346 | 37.9948 |
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+ | 1.1519 | 6.0 | 6660 | 1.2703 | 38.0897 | 17.5713 | 37.2911 | 37.179 |
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+ | 1.1132 | 7.0 | 7770 | 1.2593 | 38.4929 | 17.8838 | 37.6146 | 37.5334 |
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+ | 1.0932 | 8.0 | 8880 | 1.2643 | 38.9793 | 18.084 | 38.2265 | 38.1398 |
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  ### Framework versions
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