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Update README.md

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  1. README.md +2 -4
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@@ -5,16 +5,14 @@ tags:
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  - text-classification
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  base_model: google/bigbird-roberta-base
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  widget:
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- - text: I love AutoTrain
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  license: mit
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  language:
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  - en
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  metrics:
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  - accuracy
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- - bertscore
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  pipeline_tag: text-classification
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  ---
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-
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  # 🛫 Big Bird Flight
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  Big Bird Flight 2 is a fine-tuned version of Google’s BigBird model, optimised for long-text sentiment analysis. Big Bird Flight 2 is an improved version of Big Bird Flight 1. The model records a 16% improved accuracy over its predecessor. Both models was trained on 2,598 flight review texts, each annotated with a 10-point ordinal sentiment rating ranging from 1 (extremely negative) to 10 (extremely positive).
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@@ -61,4 +59,4 @@ Mat Roni, S. (2025). Big Bird Flight 2 for ordinal sentiment analysis [software]
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  - recall_macro: 0.3007
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  - recall_micro: 0.3093
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  - recall_weighted: 0.3093
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- - accuracy: 0.3093
 
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  - text-classification
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  base_model: google/bigbird-roberta-base
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  widget:
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+ - text: Let me fly
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  license: mit
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  language:
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  - en
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  metrics:
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  - accuracy
 
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  pipeline_tag: text-classification
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  ---
 
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  # 🛫 Big Bird Flight
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  Big Bird Flight 2 is a fine-tuned version of Google’s BigBird model, optimised for long-text sentiment analysis. Big Bird Flight 2 is an improved version of Big Bird Flight 1. The model records a 16% improved accuracy over its predecessor. Both models was trained on 2,598 flight review texts, each annotated with a 10-point ordinal sentiment rating ranging from 1 (extremely negative) to 10 (extremely positive).
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  - recall_macro: 0.3007
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  - recall_micro: 0.3093
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  - recall_weighted: 0.3093
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+ - accuracy: 0.3093