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Training complete

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README.md CHANGED
@@ -18,11 +18,11 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 18.8001
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- - Rouge1: 3.8595
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- - Rouge2: 0.1818
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- - Rougel: 3.7365
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- - Rougelsum: 3.8153
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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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- | 31.5627 | 1.0 | 10 | 24.0916 | 3.7836 | 0.2995 | 3.7121 | 3.8524 |
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- | 28.0542 | 2.0 | 20 | 22.2574 | 3.8804 | 0.1818 | 3.7308 | 3.9019 |
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- | 26.3796 | 3.0 | 30 | 20.8777 | 3.8768 | 0.1818 | 3.7551 | 3.8953 |
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- | 24.3508 | 4.0 | 40 | 20.0165 | 3.8613 | 0.1818 | 3.7448 | 3.9015 |
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- | 23.6133 | 5.0 | 50 | 19.5434 | 3.8899 | 0.1818 | 3.7532 | 3.8538 |
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- | 22.8281 | 6.0 | 60 | 19.0390 | 3.8639 | 0.1818 | 3.7076 | 3.9124 |
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- | 22.4095 | 7.0 | 70 | 18.8079 | 3.8884 | 0.1818 | 3.7607 | 3.9093 |
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- | 22.5243 | 8.0 | 80 | 18.8001 | 3.8483 | 0.1818 | 3.7517 | 3.8898 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 18.5420
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+ - Rouge1: 5.4719
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+ - Rouge2: 1.348
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+ - Rougel: 4.9456
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+ - Rougelsum: 4.9853
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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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+ | 31.6413 | 1.0 | 10 | 24.0170 | 3.8323 | 0.2047 | 3.7904 | 3.8284 |
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+ | 27.8266 | 2.0 | 20 | 23.3707 | 3.1294 | 0.2047 | 3.1291 | 3.1228 |
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+ | 26.1653 | 3.0 | 30 | 22.3135 | 3.4676 | 0.3738 | 3.4903 | 3.4927 |
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+ | 24.5148 | 4.0 | 40 | 21.0853 | 3.9753 | 0.7238 | 3.8535 | 3.7906 |
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+ | 24.3813 | 5.0 | 50 | 20.0264 | 4.4993 | 0.9797 | 4.2104 | 4.1768 |
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+ | 23.2283 | 6.0 | 60 | 19.1784 | 5.1955 | 1.1276 | 4.8347 | 4.8356 |
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+ | 23.186 | 7.0 | 70 | 18.7094 | 5.3472 | 1.2564 | 4.787 | 4.8648 |
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+ | 22.0852 | 8.0 | 80 | 18.5420 | 5.5064 | 1.3106 | 4.907 | 4.9318 |
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  ### Framework versions
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