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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: 2.1347
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- - Rouge1: 0.4543
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- - Rouge2: 0.1580
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- - Rougel: 0.2459
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- - Rougelsum: 0.2460
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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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- | 2.2503 | 0.69 | 5000 | 2.1943 | 0.4510 | 0.1557 | 0.2449 | 0.2451 |
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- | 2.0171 | 1.37 | 10000 | 2.1347 | 0.4543 | 0.1580 | 0.2459 | 0.2460 |
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- | 1.901 | 2.06 | 15000 | 2.1010 | 0.4537 | 0.1551 | 0.2432 | 0.2434 |
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- | 1.8779 | 2.75 | 20000 | 2.0863 | 0.4556 | 0.1565 | 0.2435 | 0.2437 |
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- | 1.7549 | 3.43 | 25000 | 2.0742 | 0.4561 | 0.1569 | 0.2452 | 0.2454 |
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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: 2.1342
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+ - Rouge1: 0.4546
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+ - Rouge2: 0.1577
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+ - Rougel: 0.2458
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+ - Rougelsum: 0.2459
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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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+ | 2.2504 | 0.69 | 5000 | 2.1945 | 0.4499 | 0.1547 | 0.2439 | 0.2439 |
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+ | 2.0172 | 1.37 | 10000 | 2.1342 | 0.4546 | 0.1577 | 0.2458 | 0.2459 |
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+ | 1.9011 | 2.06 | 15000 | 2.1019 | 0.4542 | 0.1558 | 0.2435 | 0.2435 |
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+ | 1.8777 | 2.75 | 20000 | 2.0869 | 0.4565 | 0.1567 | 0.2433 | 0.2434 |
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+ | 1.7547 | 3.43 | 25000 | 2.0740 | 0.4556 | 0.1563 | 0.2444 | 0.2444 |
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  ### Framework versions