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@@ -54,24 +54,13 @@ This is the model card of a 🤗 transformers model that has been pushed on the
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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  ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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  ## How to Get Started with the Model
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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  #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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  #### Speeds, Sizes, Times [optional]
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  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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  ## Evaluation
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  ### Compute Infrastructure
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  ## Citation
 
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  ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ The model has been finetuned on the train set of the ArgKP-2021-GR dataset, which is the result of machine translation.
 
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  ## How to Get Started with the Model
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing
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+ Social media text removal
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+ -Remove URLs, HTML tags, emojis and certain symbols
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  #### Training Hyperparameters
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+ - **Training regime:** bf16 Mixed Precision <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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  #### Speeds, Sizes, Times [optional]
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  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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  ## Evaluation
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  [More Information Needed]
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  ### Compute Infrastructure
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+ The model has been trained with the available [Kaggle](https://www.kaggle.com/) resources:
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+ - Number of nodes: 1
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+ - Number of GPUs per node: 1
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+ - GPU type: NVIDIA P100
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+ - GPU memory: 16GB
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  ## Citation