bert base uncased emotion Model description: Bert is a Transformer Bidirectional Encoder based Architecture trained on MLM(Mask Language Modeling) objective bert base uncased finetuned on the emotion dataset using HuggingFace Trainer with below training parameters 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 follow the above notebook by changing the model name from distilbert to bert Eval results Reference: Natural Language Processing with Transformer By Lewis Tunstall, Leandro von Werra, Thomas Wolf
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