Old Metrics

  • loss: 1.1158
  • accuracy: 0.8265
  • precision: 0.8268
  • recall: 0.8265
  • precision_macro: 0.8014
  • recall_macro: 0.7830
  • macro_fpr: 0.0153
  • weighted_fpr: 0.0148
  • weighted_specificity: 0.9773
  • macro_specificity: 0.9869
  • weighted_sensitivity: 0.8265
  • macro_sensitivity: 0.7830
  • f1_micro: 0.8265
  • f1_macro: 0.7882
  • f1_weighted: 0.8252
  • runtime: 21.7379
  • samples_per_second: 59.3890
  • steps_per_second: 7.4520

InLegal-legal-merge-ties

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

🧩 Configuration

models:
  - model: xshubhamx/InLegalBERT
    parameters:
      density: 1
      weight: 1
  - model: xshubhamx/legal-bert-base-uncased
    parameters:
      density: 1
      weight: 1

merge_method: ties
base_model: xshubhamx/InLegalBERT
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Downloads last month
9
Safetensors
Model size
109M params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.