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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: 0.4302
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- - Rouge1: 63.0769
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- - Rouge2: 60.1732
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- - Rougel: 63.5165
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- - Rougelsum: 63.0769
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- - Gen Len: 11.8571
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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 | 2.3782 | 13.5065 | 0.0 | 13.7662 | 13.7662 | 11.0 |
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- | No log | 2.0 | 16 | 1.5121 | 36.1472 | 21.4286 | 37.6314 | 37.6314 | 15.4286 |
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- | No log | 3.0 | 24 | 1.0687 | 42.449 | 28.5714 | 44.0816 | 44.0816 | 10.1429 |
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- | No log | 4.0 | 32 | 0.8164 | 44.898 | 34.2857 | 46.9388 | 46.9388 | 12.8571 |
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- | No log | 5.0 | 40 | 0.6774 | 53.0887 | 43.8095 | 53.9325 | 54.8234 | 12.0 |
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- | No log | 6.0 | 48 | 0.5566 | 50.7483 | 45.2381 | 51.5646 | 52.381 | 10.2857 |
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- | No log | 7.0 | 56 | 0.4936 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 10.5714 |
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- | No log | 8.0 | 64 | 0.4619 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 11.8571 |
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- | No log | 9.0 | 72 | 0.4368 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 11.8571 |
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- | No log | 10.0 | 80 | 0.4302 | 63.0769 | 60.1732 | 63.5165 | 63.0769 | 11.8571 |
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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: 1.9638
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+ - Rouge1: 38.9057
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+ - Rouge2: 19.0476
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+ - Rougel: 39.5803
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+ - Rougelsum: 39.467
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+ - Gen Len: 15.2857
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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 | 2.2357 | 17.3817 | 0.0 | 17.3817 | 17.8983 | 10.5714 |
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+ | No log | 2.0 | 16 | 2.1585 | 23.8431 | 14.2857 | 23.5882 | 24.101 | 13.2857 |
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+ | No log | 3.0 | 24 | 1.9795 | 33.3557 | 22.3971 | 34.1438 | 33.9448 | 11.7143 |
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+ | No log | 4.0 | 32 | 1.8823 | 29.3267 | 15.2381 | 28.5832 | 30.4088 | 13.5714 |
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+ | No log | 5.0 | 40 | 1.8984 | 40.4849 | 14.2857 | 40.3257 | 40.1475 | 15.8571 |
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+ | No log | 6.0 | 48 | 1.9456 | 32.562 | 19.0476 | 33.3501 | 33.7775 | 16.1429 |
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+ | No log | 7.0 | 56 | 1.9990 | 35.1207 | 19.0476 | 35.8838 | 36.2473 | 17.0 |
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+ | No log | 8.0 | 64 | 1.9615 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 |
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+ | No log | 9.0 | 72 | 1.9613 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 |
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+ | No log | 10.0 | 80 | 1.9638 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 |
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  ### Framework versions
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