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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0453
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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- - Accuracy: 0.9857
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  ## Model description
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@@ -48,16 +48,18 @@ 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: 4.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | No log | 1.0 | 4 | 0.1549 | 0.0 | 0.0 | 0.0 | 0.9588 |
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- | No log | 2.0 | 8 | 0.1007 | 0.0 | 0.0 | 0.0 | 0.9588 |
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- | No log | 3.0 | 12 | 0.0592 | 0.0 | 0.0 | 0.0 | 0.9818 |
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- | No log | 4.0 | 16 | 0.0453 | 0.0 | 0.0 | 0.0 | 0.9857 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0268
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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+ - Accuracy: 0.9899
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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: 6.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 4 | 0.1526 | 0.0 | 0.0 | 0.0 | 0.9588 |
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+ | No log | 2.0 | 8 | 0.0875 | 0.0 | 0.0 | 0.0 | 0.9588 |
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+ | No log | 3.0 | 12 | 0.0396 | 0.0 | 0.0 | 0.0 | 0.9877 |
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+ | No log | 4.0 | 16 | 0.0322 | 0.0 | 0.0 | 0.0 | 0.9899 |
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+ | No log | 5.0 | 20 | 0.0270 | 0.0 | 0.0 | 0.0 | 0.9906 |
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+ | No log | 6.0 | 24 | 0.0268 | 0.0 | 0.0 | 0.0 | 0.9899 |
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  ### Framework versions