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End of training

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README.md CHANGED
@@ -18,12 +18,12 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7939
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- - Rouge1: 22.8244
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- - Rouge2: 12.3775
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- - Rougel: 16.7527
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- - Rougelsum: 20.2828
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- - Gen Len: 15.8
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  ## Model description
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@@ -52,13 +52,13 @@ 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 | 2.9089 | 18.4829 | 8.5926 | 12.7485 | 15.2743 | 15.0 |
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- | No log | 2.0 | 10 | 2.8538 | 18.5695 | 8.5926 | 12.803 | 15.4475 | 14.8 |
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- | No log | 3.0 | 15 | 2.8163 | 20.0365 | 10.2116 | 14.1114 | 17.2991 | 15.2 |
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- | No log | 4.0 | 20 | 2.7939 | 22.8244 | 12.3775 | 16.7527 | 20.2828 | 15.8 |
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- | No log | 5.0 | 25 | 2.7857 | 22.8244 | 12.3775 | 16.7527 | 20.2828 | 15.8 |
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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: 2.8520
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+ - Rouge1: 11.9395
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+ - Rouge2: 3.75
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+ - Rougel: 10.3395
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+ - Rougelsum: 11.9395
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+ - Gen Len: 13.0
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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 | 2.9176 | 9.0824 | 3.75 | 9.0824 | 9.0824 | 11.6 |
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+ | No log | 2.0 | 10 | 2.8520 | 11.9395 | 3.75 | 10.3395 | 11.9395 | 13.0 |
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+ | No log | 3.0 | 15 | 2.8061 | 11.9395 | 3.75 | 10.3395 | 11.9395 | 13.0 |
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+ | No log | 4.0 | 20 | 2.7792 | 7.3071 | 0.0 | 5.7 | 7.3071 | 16.2 |
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+ | No log | 5.0 | 25 | 2.7691 | 10.1643 | 0.0 | 7.7381 | 10.1643 | 15.8 |
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  ### Framework versions
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