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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2299
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- - F1: 0.3335
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  ## Model description
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@@ -43,15 +43,21 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 5
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- - num_epochs: 8
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.8627 | 3.53 | 300 | 1.4982 | 0.2206 |
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- | 1.4171 | 7.06 | 600 | 1.2299 | 0.3335 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9256
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+ - F1: 0.4541
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 5
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+ - num_epochs: 10
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2.1225 | 1.18 | 100 | 1.8712 | 0.1078 |
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+ | 1.7933 | 2.35 | 200 | 1.6171 | 0.1861 |
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+ | 1.5819 | 3.53 | 300 | 1.4004 | 0.2706 |
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+ | 1.4077 | 4.71 | 400 | 1.2577 | 0.2964 |
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+ | 1.2928 | 5.88 | 500 | 1.1136 | 0.3732 |
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+ | 1.182 | 7.06 | 600 | 1.0234 | 0.4052 |
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+ | 1.1092 | 8.24 | 700 | 0.9653 | 0.4457 |
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+ | 1.052 | 9.41 | 800 | 0.9256 | 0.4541 |
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  ### Framework versions