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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-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5584
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- - Rouge1: 56.2154
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- - Rouge2: 45.5
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- - Rougel: 56.1576
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- - Rougelsum: 56.2154
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- - Gen Len: 15.375
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  ## Model description
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@@ -53,11 +53,11 @@ 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 | 10 | 0.7558 | 54.0149 | 42.5 | 54.2148 | 54.2148 | 14.5 |
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- | No log | 2.0 | 20 | 0.5950 | 48.8456 | 37.5 | 49.3056 | 49.4769 | 14.75 |
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- | No log | 3.0 | 30 | 0.5723 | 48.8456 | 37.5 | 49.3056 | 49.4769 | 14.75 |
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- | No log | 4.0 | 40 | 0.5624 | 48.8456 | 37.5 | 49.3056 | 49.4769 | 14.75 |
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- | No log | 5.0 | 50 | 0.5584 | 56.2154 | 45.5 | 56.1576 | 56.2154 | 15.375 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4141
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+ - Rouge1: 20.2835
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+ - Rouge2: 9.4794
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+ - Rougel: 20.2587
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+ - Rougelsum: 20.2835
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+ - Gen Len: 14.125
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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 | 10 | 1.9123 | 18.7955 | 5.5978 | 17.9735 | 17.9848 | 14.75 |
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+ | No log | 2.0 | 20 | 1.6554 | 22.5345 | 7.961 | 21.3846 | 21.8442 | 15.0 |
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+ | No log | 3.0 | 30 | 1.5016 | 25.764 | 8.9312 | 24.6364 | 25.0268 | 13.75 |
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+ | No log | 4.0 | 40 | 1.4346 | 20.2835 | 9.4794 | 20.2587 | 20.2835 | 14.125 |
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+ | No log | 5.0 | 50 | 1.4141 | 20.2835 | 9.4794 | 20.2587 | 20.2835 | 14.125 |
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  ### Framework versions
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