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End of training

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README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2340
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- - Rouge1: 51.2072
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- - Rouge2: 38.6894
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- - Rougel: 51.0663
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- - Rougelsum: 50.9574
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  - Gen Len: 7.2789
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  ## Model description
@@ -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 | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | 1.1747 | 1.0 | 6058 | 1.2542 | 52.2604 | 40.2276 | 51.9907 | 51.9872 | 8.1324 |
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- | 1.0245 | 2.0 | 12116 | 1.2340 | 51.2072 | 38.6894 | 51.0663 | 50.9574 | 7.2789 |
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- | 0.9058 | 3.0 | 18174 | 1.2498 | 51.7129 | 38.9952 | 51.4971 | 51.4148 | 7.6738 |
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- | 0.8717 | 4.0 | 24232 | 1.2799 | 51.6681 | 38.7795 | 51.4739 | 51.4207 | 7.9947 |
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- | 0.7923 | 5.0 | 30290 | 1.2744 | 52.2587 | 39.2049 | 52.0761 | 52.0082 | 8.0851 |
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- | 0.7674 | 6.0 | 36348 | 1.2981 | 52.2352 | 39.2695 | 51.9481 | 51.9425 | 7.7757 |
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- | 0.727 | 7.0 | 42406 | 1.3060 | 52.0353 | 39.0698 | 51.8164 | 51.7578 | 7.8134 |
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- | 0.7335 | 8.0 | 48464 | 1.3128 | 52.1751 | 39.0715 | 51.9432 | 51.8781 | 7.9159 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2340
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+ - Rouge1: 51.1957
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+ - Rouge2: 38.6274
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+ - Rougel: 51.029
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+ - Rougelsum: 50.9936
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  - Gen Len: 7.2789
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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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+ | 1.1747 | 1.0 | 6058 | 1.2542 | 52.1875 | 40.2309 | 51.9801 | 51.9847 | 8.1324 |
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+ | 1.0245 | 2.0 | 12116 | 1.2340 | 51.1957 | 38.6274 | 51.029 | 50.9936 | 7.2789 |
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+ | 0.9058 | 3.0 | 18174 | 1.2498 | 51.6649 | 38.9989 | 51.5003 | 51.5001 | 7.6738 |
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+ | 0.8717 | 4.0 | 24232 | 1.2799 | 51.6254 | 38.7551 | 51.5113 | 51.5324 | 7.9947 |
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+ | 0.7923 | 5.0 | 30290 | 1.2744 | 52.241 | 39.1567 | 52.0777 | 52.0785 | 8.0851 |
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+ | 0.7674 | 6.0 | 36348 | 1.2981 | 52.1724 | 39.1874 | 51.9824 | 51.9644 | 7.7757 |
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+ | 0.727 | 7.0 | 42406 | 1.3060 | 52.0124 | 39.0293 | 51.8309 | 51.8109 | 7.8134 |
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+ | 0.7335 | 8.0 | 48464 | 1.3128 | 52.1094 | 39.048 | 51.9469 | 51.97 | 7.9159 |
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  ### Framework versions
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