Create README.md

README.md

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+---
+language: 
+- en
+tags:
+- text-classification
+- emotion
+- pytorch
+license: mit
+datasets:
+- emotion
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+---
+
+# bert-base-uncased-emotion
+
+## Model description
+
+`bert-base-uncased` finetuned on the unify-emotion-datasets (https://github.com/sarnthil/unify-emotion-datasets), then transferred to
+a small sample of 10K hand-tagged StockTwits messages. Optimized for extracting emotions from financial contexts.  
+
+Sequence length 64, learning rate 2e-5, batch size 128, 8 epochs.
+
+For more details, please visit https://github.com/dvamossy/EmTract.
+
+## Training data
+
+Data came from https://github.com/sarnthil/unify-emotion-datasets.