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update model card README.md

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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6608
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- - Rouge1: 11.5776
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- - Rouge2: 5.7531
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- - Rougel: 9.5041
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- - Rougelsum: 10.579
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  - Gen Len: 20.0
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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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  ### 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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- | 1.6647 | 1.0 | 15011 | 1.6608 | 11.5776 | 5.7531 | 9.5041 | 10.579 | 20.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7113
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+ - Rouge1: 11.2794
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+ - Rouge2: 5.4788
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+ - Rougel: 9.2273
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+ - Rougelsum: 10.3091
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  - Gen Len: 20.0
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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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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+ | 1.7679 | 1.0 | 7506 | 1.7113 | 11.2794 | 5.4788 | 9.2273 | 10.3091 | 20.0 |
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  ### Framework versions