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Update README.md

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@@ -84,11 +84,10 @@ Each article was annotated for media framing according to Entman's theory.
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  #### Testing Data
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- A hold-out test set consisting of 600 news articles from the same sources as training.
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  #### Factors
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- - Media source
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  - Framing category
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  #### Metrics
@@ -98,12 +97,12 @@ A hold-out test set consisting of 600 news articles from the same sources as tra
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  ### Results
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- - Accuracy: 84.2%
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- - Macro F1: 0.83
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  ## Environmental Impact
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- - **Hardware Type:** NVIDIA Tesla T4 (Google Colab Pro)
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  - **Hours used:** ~2 hours
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  - **Cloud Provider:** Google Cloud
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  - **Compute Region:** US
@@ -117,7 +116,7 @@ This model uses BERT (base, uncased) architecture with a classification head to
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  ### Compute Infrastructure
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- - **Hardware:** Google Colab Pro GPU (Tesla T4)
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  - **Software:** Python 3.10, PyTorch 2.1.2, Transformers 4.40.1
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  ## Citation
 
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  #### Testing Data
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+ A hold-out test set consisting of 3000 news articles from the same sources as training.
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  #### Factors
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  - Framing category
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  #### Metrics
 
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  ### Results
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+ - Accuracy: 0.2400
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+ - Macro F1: 0.6386
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  ## Environmental Impact
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+ - **Hardware Type:** Google Colab
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  - **Hours used:** ~2 hours
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  - **Cloud Provider:** Google Cloud
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  - **Compute Region:** US
 
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  ### Compute Infrastructure
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+ - **Hardware:** Google Colab
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  - **Software:** Python 3.10, PyTorch 2.1.2, Transformers 4.40.1
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  ## Citation