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update model card README.md

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@@ -11,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # plbart-base_finetuned_ut_generator_70000_method2test
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- This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2294
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  ## Model description
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@@ -38,14 +38,19 @@ 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: 1
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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 |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.2719 | 1.0 | 12 | 0.2294 |
 
 
 
 
 
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  ### Framework versions
 
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  # plbart-base_finetuned_ut_generator_70000_method2test
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+ This model is a fine-tuned version of [Minata/plbart-base_finetuned_ut_generator_70000_method2test](https://huggingface.co/Minata/plbart-base_finetuned_ut_generator_70000_method2test) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1594
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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: 6
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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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.1996 | 1.0 | 7875 | 0.1690 |
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+ | 0.1895 | 2.0 | 15750 | 0.1655 |
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+ | 0.1816 | 3.0 | 23625 | 0.1628 |
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+ | 0.1757 | 4.0 | 31500 | 0.1612 |
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+ | 0.1714 | 5.0 | 39375 | 0.1599 |
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+ | 0.1686 | 6.0 | 47250 | 0.1594 |
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  ### Framework versions