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longt5
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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/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4850
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- - Rouge1: 0.5287
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- - Rouge2: 0.3416
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- - Rougel: 0.4817
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- - Rougelsum: 0.4819
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- - Gen Len: 25.7612
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  ## Model description
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@@ -53,26 +53,26 @@ 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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- | 2.2416 | 1.0 | 1600 | 1.6572 | 0.4727 | 0.2853 | 0.4283 | 0.4282 | 26.6931 |
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- | 2.0392 | 2.0 | 3200 | 1.5864 | 0.4876 | 0.3019 | 0.4422 | 0.4423 | 25.9194 |
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- | 1.9573 | 3.0 | 4800 | 1.5519 | 0.4968 | 0.3089 | 0.4509 | 0.451 | 26.8606 |
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- | 1.8886 | 4.0 | 6400 | 1.5336 | 0.4986 | 0.3111 | 0.4511 | 0.4511 | 26.2788 |
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- | 1.7906 | 5.0 | 8000 | 1.5149 | 0.5038 | 0.3166 | 0.4567 | 0.4567 | 25.8431 |
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- | 1.729 | 6.0 | 9600 | 1.5076 | 0.505 | 0.3194 | 0.4584 | 0.4586 | 25.8794 |
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- | 1.6885 | 7.0 | 11200 | 1.4985 | 0.5119 | 0.3264 | 0.465 | 0.4651 | 25.86 |
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- | 1.6507 | 8.0 | 12800 | 1.4968 | 0.5154 | 0.329 | 0.4678 | 0.4678 | 26.0975 |
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- | 1.6412 | 9.0 | 14400 | 1.4854 | 0.515 | 0.3289 | 0.4687 | 0.4689 | 25.4875 |
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- | 1.5875 | 10.0 | 16000 | 1.4863 | 0.5178 | 0.3327 | 0.4715 | 0.4719 | 25.745 |
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- | 1.5151 | 11.0 | 17600 | 1.4864 | 0.5197 | 0.3357 | 0.4744 | 0.4744 | 25.5288 |
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- | 1.509 | 12.0 | 19200 | 1.4819 | 0.5213 | 0.3369 | 0.4755 | 0.4755 | 25.9488 |
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- | 1.5232 | 13.0 | 20800 | 1.4833 | 0.5237 | 0.3377 | 0.4773 | 0.4778 | 25.5394 |
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- | 1.4704 | 14.0 | 22400 | 1.4840 | 0.525 | 0.34 | 0.4791 | 0.4792 | 25.46 |
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- | 1.4585 | 15.0 | 24000 | 1.4836 | 0.5239 | 0.3384 | 0.4779 | 0.4781 | 26.0238 |
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- | 1.4607 | 16.0 | 25600 | 1.4848 | 0.5265 | 0.3396 | 0.4792 | 0.4794 | 25.8919 |
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- | 1.42 | 17.0 | 27200 | 1.4889 | 0.5274 | 0.3409 | 0.4803 | 0.4804 | 26.2381 |
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- | 1.4461 | 18.0 | 28800 | 1.4855 | 0.5283 | 0.342 | 0.4814 | 0.4815 | 25.605 |
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- | 1.4384 | 19.0 | 30400 | 1.4852 | 0.5284 | 0.3412 | 0.4813 | 0.4816 | 25.8419 |
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- | 1.4412 | 20.0 | 32000 | 1.4850 | 0.5287 | 0.3416 | 0.4817 | 0.4819 | 25.7612 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5158
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+ - Rouge1: 0.5214
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+ - Rouge2: 0.3347
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+ - Rougel: 0.4751
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+ - Rougelsum: 0.4746
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+ - Gen Len: 25.9513
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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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+ | 2.232 | 1.0 | 1600 | 1.6810 | 0.4704 | 0.2861 | 0.4256 | 0.4251 | 26.6112 |
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+ | 2.0229 | 2.0 | 3200 | 1.6167 | 0.4859 | 0.2991 | 0.4412 | 0.4407 | 26.1006 |
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+ | 1.9239 | 3.0 | 4800 | 1.5805 | 0.4924 | 0.3049 | 0.4475 | 0.4468 | 26.8169 |
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+ | 1.8454 | 4.0 | 6400 | 1.5669 | 0.4968 | 0.3093 | 0.4517 | 0.4511 | 25.925 |
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+ | 1.7626 | 5.0 | 8000 | 1.5432 | 0.4973 | 0.3132 | 0.453 | 0.4525 | 26.4362 |
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+ | 1.6995 | 6.0 | 9600 | 1.5352 | 0.5045 | 0.3188 | 0.4596 | 0.459 | 26.1219 |
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+ | 1.682 | 7.0 | 11200 | 1.5255 | 0.5066 | 0.3198 | 0.4613 | 0.4609 | 26.1581 |
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+ | 1.6286 | 8.0 | 12800 | 1.5210 | 0.5113 | 0.3245 | 0.4663 | 0.466 | 26.1725 |
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+ | 1.593 | 9.0 | 14400 | 1.5195 | 0.5102 | 0.3235 | 0.464 | 0.4638 | 25.8944 |
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+ | 1.5784 | 10.0 | 16000 | 1.5166 | 0.5133 | 0.3265 | 0.4665 | 0.4661 | 25.685 |
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+ | 1.5615 | 11.0 | 17600 | 1.5135 | 0.5161 | 0.3284 | 0.47 | 0.4695 | 25.8681 |
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+ | 1.5391 | 12.0 | 19200 | 1.5106 | 0.5156 | 0.3303 | 0.4703 | 0.4701 | 26.1781 |
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+ | 1.5077 | 13.0 | 20800 | 1.5095 | 0.5177 | 0.3317 | 0.4724 | 0.4721 | 26.0456 |
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+ | 1.4923 | 14.0 | 22400 | 1.5163 | 0.5185 | 0.3321 | 0.4728 | 0.4723 | 26.17 |
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+ | 1.4545 | 15.0 | 24000 | 1.5128 | 0.5181 | 0.3337 | 0.4727 | 0.4724 | 25.8219 |
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+ | 1.4489 | 16.0 | 25600 | 1.5135 | 0.5209 | 0.3349 | 0.4744 | 0.4743 | 26.0369 |
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+ | 1.4481 | 17.0 | 27200 | 1.5153 | 0.5218 | 0.3349 | 0.4751 | 0.4748 | 26.1744 |
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+ | 1.4287 | 18.0 | 28800 | 1.5134 | 0.521 | 0.335 | 0.4752 | 0.4747 | 25.9525 |
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+ | 1.389 | 19.0 | 30400 | 1.5155 | 0.5212 | 0.3348 | 0.4756 | 0.4751 | 26.0369 |
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+ | 1.4215 | 20.0 | 32000 | 1.5158 | 0.5214 | 0.3347 | 0.4751 | 0.4746 | 25.9513 |
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  ### Framework versions