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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: 0.7405
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- - Rouge1: 52.8721
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- - Rouge2: 36.7572
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- - Rougel: 52.6723
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- - Rougelsum: 52.7647
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- - Gen Len: 14.9091
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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 | 6 | 0.7775 | 45.4113 | 18.1818 | 45.3563 | 45.3447 | 14.2727 |
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- | No log | 2.0 | 12 | 0.6883 | 47.2611 | 20.8343 | 47.2777 | 46.8606 | 14.2727 |
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- | No log | 3.0 | 18 | 0.7010 | 54.3873 | 33.3491 | 54.1775 | 54.3223 | 14.0 |
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- | No log | 4.0 | 24 | 0.7180 | 56.2604 | 35.7379 | 56.3303 | 56.0639 | 14.1818 |
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- | No log | 5.0 | 30 | 0.7629 | 52.4292 | 33.3491 | 52.2935 | 52.3377 | 16.2727 |
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- | No log | 6.0 | 36 | 0.7599 | 50.9191 | 32.3416 | 50.8317 | 50.979 | 14.8182 |
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- | No log | 7.0 | 42 | 0.7521 | 52.2561 | 32.3416 | 51.8124 | 52.1745 | 13.3636 |
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- | No log | 8.0 | 48 | 0.7503 | 54.2258 | 35.7576 | 54.4356 | 54.2957 | 13.4545 |
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- | No log | 9.0 | 54 | 0.7429 | 52.8721 | 36.7572 | 52.6723 | 52.7647 | 14.9091 |
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- | No log | 10.0 | 60 | 0.7405 | 52.8721 | 36.7572 | 52.6723 | 52.7647 | 14.9091 |
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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: 2.3030
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+ - Rouge1: 41.8615
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+ - Rouge2: 34.5009
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+ - Rougel: 42.1411
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+ - Rougelsum: 41.8391
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+ - Gen Len: 14.7857
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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 | 7 | 1.9097 | 26.7567 | 11.5686 | 25.8411 | 25.338 | 15.7857 |
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+ | No log | 2.0 | 14 | 2.0881 | 28.6356 | 20.3132 | 29.5342 | 28.913 | 15.9286 |
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+ | No log | 3.0 | 21 | 2.0118 | 33.0671 | 16.081 | 33.7624 | 33.2398 | 16.6429 |
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+ | No log | 4.0 | 28 | 2.1260 | 32.9158 | 16.7813 | 33.5121 | 32.7547 | 16.2143 |
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+ | No log | 5.0 | 35 | 2.0860 | 38.3111 | 22.0194 | 38.8614 | 38.2719 | 14.4286 |
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+ | No log | 6.0 | 42 | 2.2269 | 34.7021 | 21.9048 | 35.2641 | 34.7144 | 15.2143 |
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+ | No log | 7.0 | 49 | 2.3382 | 40.1831 | 25.5322 | 40.7039 | 40.0726 | 15.5 |
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+ | No log | 8.0 | 56 | 2.3151 | 38.6487 | 24.8332 | 39.0379 | 38.5125 | 15.5 |
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+ | No log | 9.0 | 63 | 2.3079 | 41.8615 | 34.5009 | 42.1411 | 41.8391 | 14.7857 |
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+ | No log | 10.0 | 70 | 2.3030 | 41.8615 | 34.5009 | 42.1411 | 41.8391 | 14.7857 |
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  ### Framework versions
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