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End of training

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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/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0064
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- - Rouge1: 48.6395
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- - Rouge2: 26.1905
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- - Rougel: 47.7211
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- - Rougelsum: 48.1633
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- - Gen Len: 10.5714
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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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- | No log | 1.0 | 8 | 2.5594 | 10.2165 | 0.0 | 9.9567 | 10.2165 | 11.0 |
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- | No log | 2.0 | 16 | 2.0407 | 25.7143 | 14.2857 | 25.7143 | 25.7143 | 6.0 |
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- | No log | 3.0 | 24 | 1.7822 | 46.0317 | 33.3333 | 46.0317 | 45.7143 | 11.7143 |
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- | No log | 4.0 | 32 | 1.5058 | 50.3401 | 32.8571 | 49.1156 | 49.932 | 11.0 |
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- | No log | 5.0 | 40 | 1.2425 | 48.6395 | 26.1905 | 47.7211 | 48.1633 | 11.7143 |
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- | No log | 6.0 | 48 | 1.1249 | 52.8912 | 33.3333 | 52.2109 | 52.2109 | 13.4286 |
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- | No log | 7.0 | 56 | 1.0713 | 41.7687 | 21.4286 | 40.9524 | 41.7687 | 9.7143 |
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- | No log | 8.0 | 64 | 1.0475 | 46.1224 | 21.4286 | 45.1701 | 45.4422 | 10.1429 |
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- | No log | 9.0 | 72 | 1.0154 | 43.8095 | 16.6667 | 42.7211 | 42.9932 | 10.7143 |
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- | No log | 10.0 | 80 | 1.0064 | 48.6395 | 26.1905 | 47.7211 | 48.1633 | 10.5714 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8182
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+ - Rouge1: 55.6522
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+ - Rouge2: 47.9592
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+ - Rougel: 56.0248
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+ - Rougelsum: 56.7702
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+ - Gen Len: 13.8571
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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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+ | No log | 1.0 | 8 | 2.4417 | 24.2887 | 11.7436 | 24.2887 | 24.0166 | 15.2857 |
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+ | No log | 2.0 | 16 | 1.7097 | 26.6667 | 15.5388 | 26.6667 | 25.7143 | 13.2857 |
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+ | No log | 3.0 | 24 | 1.4098 | 43.1844 | 20.9524 | 43.3613 | 43.6424 | 9.8571 |
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+ | No log | 4.0 | 32 | 1.1681 | 45.1247 | 30.4762 | 45.941 | 46.5586 | 13.0 |
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+ | No log | 5.0 | 40 | 1.0326 | 44.131 | 31.4286 | 45.1847 | 45.2674 | 13.1429 |
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+ | No log | 6.0 | 48 | 0.9399 | 54.7826 | 42.4263 | 55.0238 | 55.6937 | 14.7143 |
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+ | No log | 7.0 | 56 | 0.8863 | 61.9255 | 52.7211 | 61.9255 | 62.1739 | 14.0 |
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+ | No log | 8.0 | 64 | 0.8449 | 61.9255 | 52.7211 | 61.9255 | 62.1739 | 14.0 |
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+ | No log | 9.0 | 72 | 0.8303 | 55.6522 | 47.9592 | 56.0248 | 56.7702 | 13.8571 |
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+ | No log | 10.0 | 80 | 0.8182 | 55.6522 | 47.9592 | 56.0248 | 56.7702 | 13.8571 |
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  ### Framework versions
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