Tomás Fernandes commited on
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Update model card metadata and W&B

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  1. README.md +34 -0
README.md CHANGED
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  ---
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  language: "en"
 
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  tags:
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  - financial-sentiment-analysis
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  - sentiment-analysis
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  - text: "ImaginaryJetCo bookings hit by Omicron variant as losses total £1bn."
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  - text: "Q1 ImaginaryGame's earnings beat expectations."
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  - text: "Should we buy IMAGINARYSTOCK today?"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # FINPerceiver
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  FINPerceiver is a fine-tuned Perceiver IO language model for financial sentiment analysis.
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  More details on the training process of this model are available on the [GitHub repository](https://github.com/warwickai/fin-perceiver).
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  We achieved the following results with 10-fold cross validation.
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  ```
 
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  ---
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  language: "en"
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+ license: apache-2.0
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  tags:
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  - financial-sentiment-analysis
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  - sentiment-analysis
 
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  - text: "ImaginaryJetCo bookings hit by Omicron variant as losses total £1bn."
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  - text: "Q1 ImaginaryGame's earnings beat expectations."
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  - text: "Should we buy IMAGINARYSTOCK today?"
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+ metrics:
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+ - recall
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+ - f1
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+ - accuracy
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+ - precision
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+ model-index:
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+ - name: fin-perceiver
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: financial_phrasebank
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+ type: financial_phrasebank
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+ args: sentences_50agree
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8624
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+ - name: F1
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+ type: f1
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+ value: 0.8416
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+ args: macro
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+ - name: Precision
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+ type: precision
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+ value: 0.8438
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+ args: macro
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+ - name: Recall
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+ type: recall
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+ value: 0.8415
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+ args: macro
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  ---
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  # FINPerceiver
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  FINPerceiver is a fine-tuned Perceiver IO language model for financial sentiment analysis.
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  More details on the training process of this model are available on the [GitHub repository](https://github.com/warwickai/fin-perceiver).
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+ Weights & Biases was used to track experiments.
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+
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  We achieved the following results with 10-fold cross validation.
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  ```