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@@ -9,6 +9,11 @@ metrics:
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  model-index:
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  - name: bert-base-multilingual-cased-IDMGSP-danish
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  results: []
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base-multilingual-cased-IDMGSP-danish
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- This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0123
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  - Accuracy: {'accuracy': 0.8289043068464459}
@@ -69,4 +74,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.0
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  - Pytorch 2.0.1
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  - Datasets 2.14.6
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- - Tokenizers 0.14.1
 
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  model-index:
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  - name: bert-base-multilingual-cased-IDMGSP-danish
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  results: []
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+ datasets:
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+ - ernlavr/IDMGSP-danish
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+ language:
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+ - da
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+ library_name: transformers
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # bert-base-multilingual-cased-IDMGSP-danish
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+ This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the on the [ernlavr/IDMGSP-danish](https://huggingface.co/datasets/ernlavr/IDMGSP-danish) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0123
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  - Accuracy: {'accuracy': 0.8289043068464459}
 
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  - Transformers 4.35.0
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  - Pytorch 2.0.1
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  - Datasets 2.14.6
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+ - Tokenizers 0.14.1