sumink commited on
Commit
407c3fb
·
verified ·
1 Parent(s): 599ca8b

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +27 -0
README.md ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 🚀 Qwen2.5-3B Fine-Tuned on BBH (Disambiguation QA) - Model Card
2
+ 📌 Model Overview
3
+ Model Name: Qwen2.5-3B Fine-Tuned on BBH (Disambiguation QA)
4
+ Base Model: Qwen2.5-3B-Instruct
5
+ Fine-Tuned Dataset: BBH (BigBench Hard) - Disambiguation QA
6
+ Task: Causal Language Modeling (CLM)
7
+ Fine-Tuning Objective: Improve performance on pronoun disambiguation and antecedent reasoning tasks
8
+ 📌 Dataset Information
9
+ This model was fine-tuned on the Disambiguation QA subset of the BigBench Hard (BBH) dataset.
10
+
11
+ Dataset characteristics:
12
+
13
+ Task Type: Pronoun resolution & antecedent disambiguation
14
+ Input Format: Multiple-choice questions (MCQ) with ambiguous pronouns
15
+ Target Labels: (A), (B), (C), or Ambiguous
16
+ Example:
17
+
18
+ Input: "In the following sentences, explain the antecedent of the pronoun (which thing the pronoun refers to), or state that it is ambiguous.
19
+ Sentence: The patient was referred to the specialist because he had a rare skin condition.
20
+ Options:
21
+ (A) The patient had a skin condition
22
+ (B) The specialist had a skin condition
23
+ (C) Ambiguous"
24
+
25
+ Target: (A)
26
+
27
+ This dataset evaluates a model's ability to correctly resolve pronouns in ambiguous sentences, which is crucial for natural language understanding (NLU), legal/medical document processing, and AI explainability.