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End of training

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README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3587
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- - Rouge1: 50.8961
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- - Rouge2: 33.6442
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- - Rougel: 50.8598
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- - Rougelsum: 50.8732
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  - Gen Len: 7.2358
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  ## Model description
@@ -53,14 +53,14 @@ 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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- | 1.1223 | 1.0 | 6162 | 1.3958 | 48.8261 | 32.9228 | 48.6662 | 48.7117 | 7.4432 |
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- | 1.0032 | 2.0 | 12324 | 1.3587 | 50.8961 | 33.6442 | 50.8598 | 50.8732 | 7.2358 |
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- | 0.9138 | 3.0 | 18486 | 1.4147 | 49.5078 | 30.1747 | 49.4701 | 49.5135 | 6.9196 |
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- | 0.8711 | 4.0 | 24648 | 1.3923 | 51.8202 | 33.646 | 51.7227 | 51.7455 | 6.9401 |
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- | 0.8407 | 5.0 | 30810 | 1.4422 | 50.9863 | 32.4176 | 50.9306 | 50.951 | 6.9788 |
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- | 0.7328 | 6.0 | 36972 | 1.4904 | 50.7855 | 31.8294 | 50.7159 | 50.7116 | 6.9547 |
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- | 0.7564 | 7.0 | 43134 | 1.5097 | 49.9187 | 31.0345 | 49.8679 | 49.8764 | 7.0006 |
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- | 0.7292 | 8.0 | 49296 | 1.5037 | 50.5203 | 31.2414 | 50.4628 | 50.5213 | 6.8773 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3587
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+ - Rouge1: 50.9483
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+ - Rouge2: 33.6216
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+ - Rougel: 50.8374
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+ - Rougelsum: 50.8405
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  - Gen Len: 7.2358
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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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+ | 1.1223 | 1.0 | 6162 | 1.3958 | 48.7571 | 32.9322 | 48.7201 | 48.6343 | 7.4432 |
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+ | 1.0032 | 2.0 | 12324 | 1.3587 | 50.9483 | 33.6216 | 50.8374 | 50.8405 | 7.2358 |
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+ | 0.9138 | 3.0 | 18486 | 1.4147 | 49.5295 | 30.0768 | 49.4184 | 49.4152 | 6.9196 |
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+ | 0.8711 | 4.0 | 24648 | 1.3923 | 51.8423 | 33.5555 | 51.7412 | 51.706 | 6.9401 |
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+ | 0.8407 | 5.0 | 30810 | 1.4422 | 50.9414 | 32.3617 | 50.8776 | 50.8806 | 6.9788 |
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+ | 0.7328 | 6.0 | 36972 | 1.4904 | 50.7542 | 31.7725 | 50.6444 | 50.6829 | 6.9547 |
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+ | 0.7564 | 7.0 | 43134 | 1.5097 | 49.922 | 30.9948 | 49.8255 | 49.8403 | 7.0006 |
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+ | 0.7292 | 8.0 | 49296 | 1.5037 | 50.5598 | 31.1728 | 50.4433 | 50.4861 | 6.8773 |
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  ### Framework versions
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