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update model card README.md

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@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7252
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- - Rouge1: 15.5844
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- - Rouge2: 2.1522
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- - Rougel: 15.5443
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- - Rougelsum: 15.5603
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- - Gen Len: 19.3469
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  ## Model description
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@@ -45,18 +45,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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- | 1.2431 | 1.0 | 32000 | 1.1646 | 15.6512 | 2.0244 | 15.6212 | 15.6283 | 18.7906 |
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- | 0.8739 | 2.0 | 64000 | 1.1694 | 15.5784 | 2.255 | 15.5413 | 15.5504 | 19.2405 |
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- | 0.6178 | 3.0 | 96000 | 1.2520 | 15.5932 | 2.2286 | 15.5458 | 15.5546 | 19.3576 |
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- | 0.4016 | 4.0 | 128000 | 1.5014 | 15.3701 | 2.0511 | 15.3595 | 15.3654 | 19.2426 |
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- | 0.235 | 5.0 | 160000 | 1.7252 | 15.5844 | 2.1522 | 15.5443 | 15.5603 | 19.3469 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3859
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+ - Rouge1: 16.8496
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+ - Rouge2: 2.5548
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+ - Rougel: 16.8123
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+ - Rougelsum: 16.8056
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+ - Gen Len: 18.9357
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | 1.2119 | 1.0 | 62716 | 1.1876 | 15.3858 | 2.1251 | 15.3709 | 15.3705 | 18.7269 |
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+ | 1.0847 | 2.0 | 125432 | 1.3353 | 13.7743 | 1.9047 | 13.7664 | 13.7421 | 18.6183 |
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+ | 0.6995 | 3.0 | 188148 | 1.2209 | 16.6797 | 2.3979 | 16.6258 | 16.6368 | 18.8953 |
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+ | 0.4819 | 4.0 | 250864 | 1.3859 | 16.8496 | 2.5548 | 16.8123 | 16.8056 | 18.9357 |
 
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  ### Framework versions