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End of training

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README.md CHANGED
@@ -19,10 +19,10 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5151
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- - Rouge1: 47.0543
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- - Rouge2: 23.0375
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- - Rougel: 39.1234
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- - Rougelsum: 42.8088
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  - Gen Len: 17.68
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  ## Model description
@@ -54,11 +54,11 @@ 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 | 13 | 1.5191 | 46.3463 | 23.0242 | 39.6192 | 42.4292 | 16.76 |
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- | No log | 2.0 | 26 | 1.5157 | 46.7915 | 22.7085 | 39.3789 | 42.7189 | 17.26 |
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- | No log | 3.0 | 39 | 1.5151 | 47.0543 | 23.0375 | 39.1234 | 42.8088 | 17.68 |
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- | No log | 4.0 | 52 | 1.5185 | 46.4955 | 22.6122 | 38.2357 | 42.3003 | 17.57 |
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- | No log | 5.0 | 65 | 1.5198 | 46.5658 | 22.6509 | 38.3667 | 42.5244 | 17.59 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5151
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+ - Rouge1: 47.2094
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+ - Rouge2: 22.8909
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+ - Rougel: 38.9786
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+ - Rougelsum: 42.8894
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  - Gen Len: 17.68
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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 | 13 | 1.5191 | 46.4667 | 22.8802 | 39.5714 | 42.4271 | 16.76 |
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+ | No log | 2.0 | 26 | 1.5157 | 46.9566 | 22.5577 | 39.2871 | 42.8101 | 17.26 |
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+ | No log | 3.0 | 39 | 1.5151 | 47.2094 | 22.8909 | 38.9786 | 42.8894 | 17.68 |
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+ | No log | 4.0 | 52 | 1.5185 | 46.6053 | 22.5631 | 38.2157 | 42.3972 | 17.57 |
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+ | No log | 5.0 | 65 | 1.5198 | 46.7008 | 22.6139 | 38.3914 | 42.6006 | 17.59 |
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  ### Framework versions
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