RJuro
/

Da-HyggeBERT

Text Classification

Maltehb/danish-bert-botxo

Helsinki-NLP/opus-mt-en-da

Inference Endpoints

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RJuro commited on Jun 19, 2022

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@@ -11,7 +11,7 @@ tags:
 - Certainly
 license: cc-by-4.0
 datasets:
-- go_emotions
 metrics:
 - Accuracy
 widget:
@@ -26,8 +26,7 @@ widget:
 Danish Go-Emotion classifier. [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) (uncased) finetuned on a translation of the [go_emotion](https://huggingface.co/datasets/go_emotions) dataset using [Helsinki-NLP/opus-mt-en-da](https://huggingface.co/Helsinki-NLP/opus-mt-de-en). Thus,performance is obviousely only as good as the translation model.
 ## Training
-- Translating the training-data with MT: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RJuro/Da-HyggeBERT-finetuning/blob/main/HyggeBERT_translation_en_da.ipynb)
 ## Training Parameters:

 - Certainly
 license: cc-by-4.0
 datasets:
+- GoEmotions
 metrics:
 - Accuracy
 widget:
 Danish Go-Emotion classifier. [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) (uncased) finetuned on a translation of the [go_emotion](https://huggingface.co/datasets/go_emotions) dataset using [Helsinki-NLP/opus-mt-en-da](https://huggingface.co/Helsinki-NLP/opus-mt-de-en). Thus,performance is obviousely only as good as the translation model.
 ## Training
+- Translating the training data with MT: [Notebook](https://colab.research.google.com/github/RJuro/Da-HyggeBERT-finetuning/blob/main/HyggeBERT_translation_en_da.ipynb)
 ## Training Parameters: