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SvetlanaKayfajian/ss-toxicator-ru

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README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7493
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- - Rouge1: 2.0
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  - Rouge2: 0.0
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- - Rougel: 2.0
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- - Rougelsum: 2.0
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- - Gen Len: 15.2625
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  ## Model description
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@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 2.58 | 1.0 | 20 | 1.1756 | 0.5 | 0.0 | 0.5 | 0.5 | 12.0875 |
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- | 2.1115 | 2.0 | 40 | 1.0891 | 1.0 | 0.0 | 1.0 | 1.0 | 12.9875 |
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- | 1.9904 | 3.0 | 60 | 1.0156 | 1.5 | 0.0 | 1.5 | 1.5 | 14.45 |
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- | 1.6825 | 4.0 | 80 | 0.9417 | 1.5 | 0.0 | 1.5 | 1.5 | 14.9 |
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- | 1.6029 | 5.0 | 100 | 0.8820 | 1.5 | 0.0 | 1.5 | 1.5 | 14.9625 |
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- | 1.5764 | 6.0 | 120 | 0.8360 | 1.5 | 0.0 | 1.5 | 1.5 | 14.9125 |
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- | 1.4632 | 7.0 | 140 | 0.7999 | 2.0 | 0.0 | 2.0 | 2.0 | 15.2375 |
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- | 1.3777 | 8.0 | 160 | 0.7728 | 2.0 | 0.0 | 2.0 | 2.0 | 15.3375 |
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- | 1.2257 | 9.0 | 180 | 0.7547 | 2.0 | 0.0 | 2.0 | 2.0 | 15.2625 |
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- | 1.2728 | 10.0 | 200 | 0.7493 | 2.0 | 0.0 | 2.0 | 2.0 | 15.2625 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2691
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+ - Rouge1: 0.5
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  - Rouge2: 0.0
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+ - Rougel: 0.5
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+ - Rougelsum: 0.5
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+ - Gen Len: 15.4375
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 18.2411 | 1.0 | 20 | 10.6528 | 0.0 | 0.0 | 0.0 | 0.0 | 5.8125 |
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+ | 13.9385 | 2.0 | 40 | 8.9008 | 1.0 | 0.0 | 1.0 | 1.0 | 9.1625 |
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+ | 11.4717 | 3.0 | 60 | 6.5627 | 1.0 | 0.0 | 1.0 | 1.0 | 15.575 |
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+ | 8.354 | 4.0 | 80 | 3.7240 | 1.0 | 0.0 | 1.0 | 1.0 | 17.55 |
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+ | 6.7029 | 5.0 | 100 | 2.6658 | 1.5 | 0.0 | 1.5 | 1.5 | 18.6 |
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+ | 5.3487 | 6.0 | 120 | 1.8080 | 0.0 | 0.0 | 0.0 | 0.0 | 18.625 |
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+ | 4.3308 | 7.0 | 140 | 1.4764 | 1.0 | 0.0 | 1.0 | 1.0 | 17.225 |
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+ | 3.9161 | 8.0 | 160 | 1.3390 | 1.0 | 0.0 | 1.0 | 1.0 | 15.9875 |
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+ | 3.2566 | 9.0 | 180 | 1.2843 | 0.5 | 0.0 | 0.5 | 0.5 | 15.6625 |
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+ | 3.2432 | 10.0 | 200 | 1.2691 | 0.5 | 0.0 | 0.5 | 0.5 | 15.4375 |
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  ### Framework versions
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