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End of training

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@@ -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-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: 2.3439
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- - Rouge1: 4.9561
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- - Rouge2: 2.0389
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- - Rougel: 4.9817
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- - Rougelsum: 4.9536
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- - Gen Len: 10.0570
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  ## Model description
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@@ -53,11 +53,11 @@ 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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- | 2.3304 | 1.0 | 2899 | 2.4759 | 2.9156 | 1.5043 | 2.9383 | 2.9303 | 12.9185 |
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- | 2.419 | 2.0 | 5798 | 2.3956 | 4.0661 | 1.9977 | 4.0903 | 4.0836 | 11.2817 |
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- | 2.2878 | 3.0 | 8697 | 2.3618 | 4.5727 | 1.8909 | 4.6019 | 4.5688 | 9.9740 |
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- | 2.2338 | 4.0 | 11596 | 2.3463 | 4.556 | 2.0507 | 4.5898 | 4.5707 | 10.2449 |
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- | 2.2188 | 5.0 | 14495 | 2.3439 | 4.9561 | 2.0389 | 4.9817 | 4.9536 | 10.0570 |
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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: nan
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+ - Rouge1: 2.1823
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+ - Rouge2: 0.226
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+ - Rougel: 2.1188
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+ - Rougelsum: 2.1216
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+ - Gen Len: 8.9152
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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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+ | 0.0 | 1.0 | 7626 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
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+ | 0.0 | 2.0 | 15252 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
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+ | 0.0 | 3.0 | 22878 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
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+ | 0.0 | 4.0 | 30504 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
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+ | 0.0 | 5.0 | 38130 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
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  ### Framework versions