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Training complete

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README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 8.0718
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,10 +34,10 @@ 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 scientific_papers dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.6792
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- - Rouge1: 8.0718
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- - Rouge2: 2.5608
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- - Rougel: 6.7081
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- - Rougelsum: 7.3027
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  ## Model description
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@@ -69,11 +69,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | 3.0943 | 1.0 | 56 | 2.8262 | 3.9895 | 1.0886 | 3.344 | 3.6338 |
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- | 3.0216 | 2.0 | 112 | 2.7682 | 6.118 | 1.6768 | 5.2392 | 5.6711 |
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- | 2.9495 | 3.0 | 168 | 2.7316 | 7.4698 | 2.4158 | 6.2604 | 6.8995 |
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- | 2.9057 | 4.0 | 224 | 2.7050 | 7.9356 | 2.6576 | 6.5552 | 7.165 |
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- | 2.8622 | 5.0 | 280 | 2.6792 | 8.0718 | 2.5608 | 6.7081 | 7.3027 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 8.0297
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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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 scientific_papers dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.6792
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+ - Rouge1: 8.0297
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+ - Rouge2: 2.5421
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+ - Rougel: 6.6908
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+ - Rougelsum: 7.3431
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 3.0943 | 1.0 | 56 | 2.8262 | 3.9456 | 1.1211 | 3.3527 | 3.6682 |
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+ | 3.0216 | 2.0 | 112 | 2.7682 | 6.0659 | 1.6822 | 5.2499 | 5.7102 |
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+ | 2.9495 | 3.0 | 168 | 2.7316 | 7.4704 | 2.4232 | 6.2443 | 6.913 |
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+ | 2.9057 | 4.0 | 224 | 2.7050 | 7.8789 | 2.6559 | 6.5559 | 7.1858 |
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+ | 2.8622 | 5.0 | 280 | 2.6792 | 8.0297 | 2.5421 | 6.6908 | 7.3431 |
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  ### Framework versions
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