Albert base v2 emotion Model description: Albert is A Lite BERT architecture that has significantly fewer parameters than a traditional BERT architecture. Albert base v2 finetuned on the emotion dataset using HuggingFace Trainer with below Hyperparameters Model Performance Comparision on Emotion Dataset from Twitter: Model Accuracy F1 Score Test Sample per Second Distilbert base uncased emotion 93.8 93.79 398.69 Bert base uncased emotion 94.05 94.06 190.152 Roberta base emotion 93.95 93.97 195.639 Albert base v2 emotion 93.6 93.65 182.794 How to Use the model: Dataset: Twitter Sentiment Analysis. Training procedure Colab Notebook Eval results Reference: Natural Language Processing with Transformer By Lewis Tunstall, Leandro von Werra, Thomas Wolf
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