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legal-InLegal-merge-slerp
xshubhamx/legal-InLegal-merge-slerp
legal-InLegal-merge-slerp is a text classification model from xshubhamx. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
- loss: 0.8263 - accuracy: 0.7947 - precision: 0.7915 - recall: 0.7947 - precisionmacro: 0.5673 - recallmacro: 0.5767 - macrofpr: 0.0183 - weightedfpr: 0.0181 - weightedspecificity: 0.9749 - macrospecificity: 0.9846 -…
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Repo makeup
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.safetensors205 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024
- SHA
- 8a9862d8
Try a prompt
Model card
From the Hugging Face model README
Metrics
- loss: 0.8263
- accuracy: 0.7947
- precision: 0.7915
- recall: 0.7947
- precision_macro: 0.5673
- recall_macro: 0.5767
- macro_fpr: 0.0183
- weighted_fpr: 0.0181
- weighted_specificity: 0.9749
- macro_specificity: 0.9846
- weighted_sensitivity: 0.7947
- macro_sensitivity: 0.5767
- f1_micro: 0.7947
- f1_macro: 0.5671
- f1_weighted: 0.7886
- runtime: 35.4093
- samples_per_second: 36.4590
- steps_per_second: 4.5750
legal-InLegal-merge-slerp
legal-InLegal-merge-slerp is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: xshubhamx/legal-bert-base-uncased
layer_range: [0, 11]
- model: xshubhamx/InLegalBERT
layer_range: [0, 11]
merge_method: slerp
base_model: xshubhamx/legal-bert-base-uncased
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 19, 2024
- Updated
- Apr 19, 2024