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mt5-small-finetuned-sk-news

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update model card README.md

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@@ -16,11 +16,11 @@ 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: 16.0857
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- - Rouge1: 2.0538
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- - Rouge2: 0.0
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- - Rougel: 1.9048
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- - Rougelsum: 2.0124
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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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- | 30.464 | 1.0 | 2 | 17.7365 | 2.8571 | 0.0 | 2.8571 | 2.619 |
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- | 14.821 | 2.0 | 4 | 17.3584 | 2.8571 | 0.0 | 2.8571 | 2.619 |
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- | 22.1114 | 3.0 | 6 | 17.1870 | 2.8571 | 0.0 | 2.8571 | 2.619 |
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- | 18.8111 | 4.0 | 8 | 17.0857 | 2.1429 | 0.0 | 1.9048 | 2.1429 |
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- | 22.5286 | 5.0 | 10 | 16.8012 | 2.1429 | 0.0 | 1.9048 | 2.1429 |
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- | 51.2947 | 6.0 | 12 | 16.4472 | 2.0952 | 0.0 | 1.9048 | 2.0952 |
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- | 16.0488 | 7.0 | 14 | 16.2174 | 2.0538 | 0.0 | 1.9048 | 2.0124 |
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- | 19.0999 | 8.0 | 16 | 16.0857 | 2.0538 | 0.0 | 1.9048 | 2.0124 |
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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: 8.7815
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+ - Rouge1: 4.2262
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+ - Rouge2: 0.4191
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+ - Rougel: 3.9794
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+ - Rougelsum: 4.0106
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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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+ | 24.5955 | 1.0 | 13 | 14.1001 | 3.1611 | 0.5122 | 2.9982 | 3.0234 |
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+ | 21.452 | 2.0 | 26 | 12.4275 | 3.4559 | 0.5141 | 3.2461 | 3.256 |
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+ | 19.6974 | 3.0 | 39 | 11.2369 | 3.5799 | 0.5058 | 3.4025 | 3.4185 |
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+ | 18.2054 | 4.0 | 52 | 10.0774 | 4.0976 | 0.5831 | 3.8641 | 3.8412 |
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+ | 15.314 | 5.0 | 65 | 9.5101 | 3.9583 | 0.4948 | 3.7593 | 3.7337 |
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+ | 14.3465 | 6.0 | 78 | 9.0434 | 4.1681 | 0.437 | 3.8628 | 3.8584 |
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+ | 15.0109 | 7.0 | 91 | 8.8574 | 4.3665 | 0.5 | 4.086 | 4.1242 |
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+ | 15.2609 | 8.0 | 104 | 8.7815 | 4.2262 | 0.4191 | 3.9794 | 4.0106 |
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  ### Framework versions