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legal-InLegal-merge-linear – AI Model by xshubhamx | AlphaNeural AI

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xshubhamx/
legal-InLegal-merge-linear

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text-classification

xshubhamx/legal-bert-base-uncased

xshubhamx/InLegalBERT

autotrain_compatible

endpoints_compatible

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Metrics

loss: 0.9426
accuracy: 0.8273
precision: 0.8402
recall: 0.8273
precision_macro: 0.8502
recall_macro: 0.7573
macro_fpr: 0.0151
weighted_fpr: 0.0147
weighted_specificity: 0.9778
macro_specificity: 0.9870
weighted_sensitivity: 0.8273
macro_sensitivity: 0.7573
f1_micro: 0.8273
f1_macro: 0.7739
f1_weighted: 0.8274
runtime: 29.7266
samples_per_second: 43.4290
steps_per_second: 5.4500

legal-InLegal-merge-linear

legal-InLegal-merge-linear is a merge of the following models using mergekit:

xshubhamx/legal-bert-base-uncased
xshubhamx/InLegalBERT

🧩 Configuration

yaml

models:
  - model: xshubhamx/legal-bert-base-uncased
    parameters:
      weight: 1
  - model: xshubhamx/InLegalBERT
    parameters:
      weight: 1
merge_method: linear
dtype: bfloat16