GPT only leven + new roberta expe

modules/evaluators/graph_levenshtein_eval.py

@@ -69,31 +69,10 @@ config = [
         'false_negative': 327,
         'false_positive': 288
     },
-    {
-        'data_path': '../../results/LLM/Miqu-1-70b/MIQU_zero_shot_full_results.csv',
-        'title': 'Miqu-1-70b (zero-shot)',
-        'color': '#6867D2',
-        'false_negative': 473,
-        'false_positive': 353
-    },
-    {
-        'data_path': '../../results/LLM/Mixtral-8x7b/MIXTRAL_zero_shot_full_results.csv',
-        'title': 'Mixtral-8x7b (zero-shot)',
-        'color': '#5619d8',
-        'false_negative': 461,
-        'false_positive': 461
-    },
-    {
-        'data_path': '../../results/LLM/Mistral-7b/MISTRAL_fine_tuned_full_results.csv',
-        'title': 'Mistral-7b (fine-tuned)',
-        'color': '#6895D2',
-        'false_negative': 459,
-        'false_positive': 560
-    }
 
 ]
 
 title = "Levenshtein Distance of GPT-4_ZS, Mixtral_ZS & Mixtral_FT"
-output_path = "../../results/LLM/fig_levenshtein_distance.png"
+output_path = "../../results/LLM/fig_levenshtein_distance_GPT.png"
 
 build_levenshtein_boxplot(config, title, output_path)
\ No newline at end of file

modules/roberta/roberta-classifier-expe.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    ""
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}