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update model card README.md

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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5962
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- - Rmse: 0.6703
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  ## Model description
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@@ -44,14 +44,17 @@ 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: 500
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.6795 | 4.0 | 500 | 0.5962 | 0.6703 |
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- | 0.1913 | 8.0 | 1000 | 1.0264 | 0.6887 |
 
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3184
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+ - Rmse: 0.3708
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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: 500
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+ - num_epochs: 16
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.7279 | 2.72 | 500 | 0.3684 | 0.4686 |
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+ | 0.1642 | 5.43 | 1000 | 0.3184 | 0.3708 |
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+ | 0.0484 | 8.15 | 1500 | 0.3478 | 0.3357 |
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+ | 0.0203 | 10.86 | 2000 | 0.4048 | 0.3311 |
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+ | 0.0112 | 13.58 | 2500 | 0.4055 | 0.3270 |
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  ### Framework versions