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README.md
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[More Information Needed]
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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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[More Information Needed]
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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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## 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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#### Training Hyperparameters
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- **Training regime:**
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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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[More Information Needed]
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### Compute Infrastructure
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## Citation
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[More Information Needed]
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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
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