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