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update model card README.md

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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9874
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  ## Model description
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@@ -38,16 +38,18 @@ 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: 3.0
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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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- | 4.0211 | 1.0 | 45 | 3.3226 |
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- | 3.2867 | 2.0 | 90 | 3.0076 |
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- | 3.1353 | 3.0 | 135 | 3.0052 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.7239
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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: 5.0
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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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+ | 3.9138 | 1.0 | 45 | 3.3421 |
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+ | 3.2579 | 2.0 | 90 | 2.9786 |
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+ | 3.0224 | 3.0 | 135 | 2.8931 |
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+ | 2.9358 | 4.0 | 180 | 2.7741 |
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+ | 2.9235 | 5.0 | 225 | 2.7910 |
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  ### Framework versions