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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 [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2941
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- - Precision: 0.3955
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- - Recall: 0.5486
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- - F1: 0.4596
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- - Accuracy: 0.9323
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  ## Model description
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@@ -48,15 +48,14 @@ 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: 3
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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 | 19 | 0.3101 | 0.3553 | 0.5725 | 0.4385 | 0.9236 |
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- | No log | 2.0 | 38 | 0.2725 | 0.4236 | 0.5262 | 0.4693 | 0.9370 |
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- | No log | 3.0 | 57 | 0.2941 | 0.3955 | 0.5486 | 0.4596 | 0.9323 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2976
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+ - Precision: 0.4183
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+ - Recall: 0.5546
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+ - F1: 0.4769
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+ - Accuracy: 0.9343
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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: 2
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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 | 19 | 0.2900 | 0.3809 | 0.5710 | 0.4569 | 0.9285 |
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+ | No log | 2.0 | 38 | 0.2976 | 0.4183 | 0.5546 | 0.4769 | 0.9343 |
 
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  ### Framework versions