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@@ -5,12 +5,8 @@ language:
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  - de
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  license: mit
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  widget:
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- - text: "ich glaub ich muss echt rewatchen like i [MASK] so empty was soll ich denn jetzt machen"
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- example_title: "Example 1"
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  - text: "I don't get [MASK] er damit erreichen will."
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  example_title: "Example 2"
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- - text: "Sagt ein(e) Head(in) [MASK] research! Researchen Sie mal ein bisschen mehr."
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- example_title: "Example 3"
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  ---
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  # German-English Code-Switching BERT
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  A BERT-based model trained with masked language modelling on a large corpus of German--English code-switching. It was introduced in [this paper](). This model is case sensitive.
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  ## Overview
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- - **Initializd language model:** bert-base-multilingual-cased
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  - **Training data:** The TongueSwitcher Corpus
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  - **Infrastructure**: 4x Nvidia A100 GPUs
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  - **Published**: 16 October 2023
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  ```
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  batch_size = 32
 
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  n_steps = 191,950
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  max_seq_len = 512
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  learning_rate = 1e-4
 
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  - de
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  license: mit
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  widget:
 
 
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  - text: "I don't get [MASK] er damit erreichen will."
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  example_title: "Example 2"
 
 
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  ---
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  # German-English Code-Switching BERT
 
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  A BERT-based model trained with masked language modelling on a large corpus of German--English code-switching. It was introduced in [this paper](). This model is case sensitive.
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  ## Overview
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+ - **Initialized language model:** bert-base-multilingual-cased
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  - **Training data:** The TongueSwitcher Corpus
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  - **Infrastructure**: 4x Nvidia A100 GPUs
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  - **Published**: 16 October 2023
 
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  ```
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  batch_size = 32
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+ epochs = 1
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  n_steps = 191,950
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  max_seq_len = 512
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  learning_rate = 1e-4