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update model card README.md

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on the cmrc2018 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4759
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.8179 | 1.0 | 1200 | 1.4019 |
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- | 1.3725 | 2.0 | 2400 | 1.1747 |
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- | 1.151 | 3.0 | 3600 | 1.1670 |
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- | 1.0374 | 4.0 | 4800 | 1.2137 |
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- | 0.9401 | 5.0 | 6000 | 1.3064 |
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- | 0.8696 | 6.0 | 7200 | 1.3043 |
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- | 0.8111 | 7.0 | 8400 | 1.3529 |
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- | 0.7771 | 8.0 | 9600 | 1.4366 |
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- | 0.746 | 9.0 | 10800 | 1.4346 |
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- | 0.7121 | 10.0 | 12000 | 1.4759 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on the cmrc2018 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5678
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.1216 | 1.0 | 1200 | 0.7522 |
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+ | 0.7144 | 2.0 | 2400 | 0.6930 |
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+ | 0.5018 | 3.0 | 3600 | 0.7647 |
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+ | 0.3669 | 4.0 | 4800 | 0.8131 |
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+ | 0.278 | 5.0 | 6000 | 0.9423 |
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+ | 0.2087 | 6.0 | 7200 | 1.0350 |
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+ | 0.1477 | 7.0 | 8400 | 1.1962 |
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+ | 0.1235 | 8.0 | 9600 | 1.3345 |
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+ | 0.0937 | 9.0 | 10800 | 1.4887 |
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+ | 0.0705 | 10.0 | 12000 | 1.5678 |
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  ### Framework versions