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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: 0.7928
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- - Rouge1: 62.0833
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- - Rouge2: 47.0
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- - Rougel: 62.0952
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- - Rougelsum: 61.2857
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- - Gen Len: 14.2
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  ## Model description
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@@ -51,18 +51,18 @@ The following hyperparameters were used during training:
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  ### Training results
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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 | 5 | 1.0434 | 55.9048 | 39.0 | 55.9048 | 55.7143 | 13.2 |
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- | No log | 2.0 | 10 | 0.9903 | 62.7619 | 47.0 | 62.6667 | 62.7619 | 14.8 |
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- | No log | 3.0 | 15 | 0.9273 | 56.4762 | 47.0 | 56.4762 | 56.1905 | 14.4 |
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- | No log | 4.0 | 20 | 0.9185 | 60.4762 | 47.0 | 60.4762 | 59.8095 | 13.5 |
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- | No log | 5.0 | 25 | 0.8703 | 64.5714 | 47.0 | 64.4762 | 64.4762 | 13.2 |
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- | No log | 6.0 | 30 | 0.8186 | 68.1429 | 50.0 | 68.5714 | 68.0238 | 14.6 |
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- | No log | 7.0 | 35 | 0.7856 | 64.7857 | 50.0 | 64.5714 | 64.0952 | 14.4 |
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- | No log | 8.0 | 40 | 0.7755 | 64.7857 | 50.0 | 64.5714 | 64.0952 | 14.2 |
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- | No log | 9.0 | 45 | 0.7864 | 64.7857 | 50.0 | 64.5714 | 64.0952 | 14.2 |
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- | No log | 10.0 | 50 | 0.7928 | 62.0833 | 47.0 | 62.0952 | 61.2857 | 14.2 |
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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: 0.6312
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+ - Rouge1: 61.4286
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+ - Rouge2: 43.0
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+ - Rougel: 61.619
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+ - Rougelsum: 60.4762
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+ - Gen Len: 15.3
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  ## Model description
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  ### Training results
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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 | 5 | 2.4435 | 17.3333 | 10.0 | 16.6667 | 16.6667 | 8.4 |
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+ | No log | 2.0 | 10 | 1.7069 | 21.6364 | 10.0 | 20.3896 | 20.1039 | 8.7 |
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+ | No log | 3.0 | 15 | 1.3074 | 30.5714 | 16.6667 | 26.5 | 26.5357 | 10.2 |
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+ | No log | 4.0 | 20 | 1.0233 | 38.2857 | 22.381 | 38.0 | 37.7143 | 12.8 |
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+ | No log | 5.0 | 25 | 0.8584 | 52.1905 | 35.7143 | 52.381 | 51.3452 | 13.9 |
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+ | No log | 6.0 | 30 | 0.7716 | 55.2381 | 35.7143 | 55.2381 | 54.7619 | 14.6 |
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+ | No log | 7.0 | 35 | 0.6936 | 55.2381 | 35.7143 | 55.2381 | 54.7619 | 15.9 |
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+ | No log | 8.0 | 40 | 0.6447 | 61.4286 | 43.0 | 61.619 | 60.4762 | 15.1 |
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+ | No log | 9.0 | 45 | 0.6323 | 61.4286 | 43.0 | 61.619 | 60.4762 | 15.3 |
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+ | No log | 10.0 | 50 | 0.6312 | 61.4286 | 43.0 | 61.619 | 60.4762 | 15.3 |
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  ### Framework versions
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