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update model card README.md

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@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1546
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- - Rouge1: 0.4552
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- - Rouge2: 0.1560
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- - Rougel: 0.2435
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- - Rougelsum: 0.2435
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  ## Model description
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@@ -52,11 +52,11 @@ 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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- | 2.2702 | 0.69 | 5000 | 2.2176 | 0.4461 | 0.1500 | 0.2399 | 0.2400 |
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- | 2.0362 | 1.37 | 10000 | 2.1546 | 0.4552 | 0.1560 | 0.2435 | 0.2435 |
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- | 1.92 | 2.06 | 15000 | 2.1201 | 0.4560 | 0.1535 | 0.2413 | 0.2414 |
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- | 1.9006 | 2.75 | 20000 | 2.1072 | 0.4566 | 0.1549 | 0.2407 | 0.2409 |
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- | 1.7767 | 3.43 | 25000 | 2.0941 | 0.4544 | 0.1523 | 0.2410 | 0.2411 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1548
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+ - Rouge1: 0.4543
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+ - Rouge2: 0.1550
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+ - Rougel: 0.2425
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+ - Rougelsum: 0.2425
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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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+ | 2.2704 | 0.69 | 5000 | 2.2177 | 0.4481 | 0.1522 | 0.2414 | 0.2415 |
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+ | 2.0364 | 1.37 | 10000 | 2.1548 | 0.4543 | 0.1550 | 0.2425 | 0.2425 |
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+ | 1.9201 | 2.06 | 15000 | 2.1200 | 0.4551 | 0.1530 | 0.2410 | 0.2410 |
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+ | 1.9007 | 2.75 | 20000 | 2.1060 | 0.4554 | 0.1540 | 0.2400 | 0.2400 |
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+ | 1.7766 | 3.43 | 25000 | 2.0941 | 0.4536 | 0.1513 | 0.2397 | 0.2399 |
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  ### Framework versions