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Upload classification_report_llama3.2_3b_oos_full.txt

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predictions-zeroshot/round8-fewshot-1exampleeach-k-knownintent-restoos-100oossentences/classification_report_llama3.2_3b_oos_full.txt ADDED
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1
+
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+ ================================================================================
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+
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+
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+
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+ Run: 1notoos
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+ Overall Accuracy: 100.00%
8
+ Overall F1: 100.00%
9
+ precision recall f1-score support
10
+
11
+ oos 1.00 1.00 1.00 100
12
+
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+ accuracy 1.00 100
14
+ macro avg 1.00 1.00 1.00 100
15
+ weighted avg 1.00 1.00 1.00 100
16
+
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+ predicted
18
+ oos 100
19
+ Name: count, dtype: int64
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+
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+ Classification report saved to classification_report_llama3.2:3b_oos1notoos.txt
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+
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+
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+ ================================================================================
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+
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+
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+ Run: 2notoos
28
+ Overall Accuracy: 80.00%
29
+ Overall F1: 88.89%
30
+ precision recall f1-score support
31
+
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+ oos 1.00 0.80 0.89 100
33
+ travel_suggestion 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+
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+ accuracy 0.80 100
37
+ macro avg 0.33 0.80 0.30 100
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+ weighted avg 1.00 0.80 0.89 100
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+
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+ predicted
41
+ oos 80
42
+ change_volume 15
43
+ travel_suggestion 5
44
+ Name: count, dtype: int64
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+
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+ Classification report saved to classification_report_llama3.2:3b_oos2notoos.txt
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+
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+
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+
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+
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+
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+ ================================================================================
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+
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+
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+ Run: 3notoos
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+ Overall Accuracy: 90.00%
57
+ Overall F1: 94.74%
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+ precision recall f1-score support
59
+
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+ oos 1.00 0.90 0.95 100
61
+ change_volume 0.00 nan 0.00 0
62
+ travel_suggestion 0.00 nan 0.00 0
63
+
64
+ accuracy 0.90 100
65
+ macro avg 0.33 0.90 0.32 100
66
+ weighted avg 1.00 0.90 0.95 100
67
+
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+ predicted
69
+ oos 90
70
+ change_volume 7
71
+ travel_suggestion 3
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+ Name: count, dtype: int64
73
+
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+ Classification report saved to classification_report_llama3.2:3b_oos3notoos.txt
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+
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+
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+
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+
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+
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+
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+ ================================================================================
82
+
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+ Run: 4notoos
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+ Overall Accuracy: 78.00%
85
+ Overall F1: 87.64%
86
+ precision recall f1-score support
87
+
88
+ oos 1.00 0.78 0.88 100
89
+ change_volume 0.00 nan 0.00 0
90
+ cancel 0.00 nan 0.00 0
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+ travel_suggestion 0.00 nan 0.00 0
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+
93
+ accuracy 0.78 100
94
+ macro avg 0.25 0.78 0.22 100
95
+ weighted avg 1.00 0.78 0.88 100
96
+
97
+ predicted
98
+ oos 78
99
+ change_volume 11
100
+ cancel 8
101
+ travel_suggestion 3
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+ Name: count, dtype: int64
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+
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+ Classification report saved to classification_report_llama3.2:3b_oos4notoos.txt
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+
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+
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+
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+
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+
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+
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+
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+ ================================================================================
113
+
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+
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+ Run: 5notoos
116
+ Overall Accuracy: 75.00%
117
+ Overall F1: 85.71%
118
+ precision recall f1-score support
119
+
120
+ oos 1.00 0.75 0.86 100
121
+ travel_suggestion 0.00 nan 0.00 0
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+ travel_notification 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+ pto_used 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+
127
+ accuracy 0.75 100
128
+ macro avg 0.17 0.75 0.14 100
129
+ weighted avg 1.00 0.75 0.86 100
130
+
131
+ predicted
132
+ oos 75
133
+ travel_suggestion 9
134
+ change_volume 8
135
+ pto_used 3
136
+ cancel 3
137
+ travel_notification 2
138
+ Name: count, dtype: int64
139
+
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+ Classification report saved to classification_report_llama3.2:3b_oos5notoos.txt
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+
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+
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+
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+
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+ ================================================================================
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+
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+
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+
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+ Run: 10notoos
150
+ Overall Accuracy: 69.00%
151
+ Overall F1: 81.66%
152
+ precision recall f1-score support
153
+
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+ oos 1.00 0.69 0.82 100
155
+ travel_suggestion 0.00 nan 0.00 0
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+ min_payment 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+ travel_notification 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ change_user_name 0.00 nan 0.00 0
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+ pto_used 0.00 nan 0.00 0
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+
165
+ accuracy 0.69 100
166
+ macro avg 0.10 0.69 0.08 100
167
+ weighted avg 1.00 0.69 0.82 100
168
+
169
+ predicted
170
+ oos 69
171
+ min_payment 11
172
+ travel_suggestion 8
173
+ change_volume 4
174
+ cancel 3
175
+ restaurant_suggestion 1
176
+ travel_notification 1
177
+ mpg 1
178
+ change_user_name 1
179
+ pto_used 1
180
+ Name: count, dtype: int64
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+
182
+ Classification report saved to classification_report_llama3.2:3b_oos10notoos.txt
183
+
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+
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+
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+
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+
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+ ================================================================================
189
+
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+
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+ Run: 11notoos
192
+ Overall Accuracy: 79.00%
193
+ Overall F1: 88.27%
194
+ precision recall f1-score support
195
+
196
+ oos 1.00 0.79 0.88 100
197
+ travel_suggestion 0.00 nan 0.00 0
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+ min_payment 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+ travel_notification 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ change_user_name 0.00 nan 0.00 0
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+ pto_used 0.00 nan 0.00 0
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+
207
+ accuracy 0.79 100
208
+ macro avg 0.10 0.79 0.09 100
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+ weighted avg 1.00 0.79 0.88 100
210
+
211
+ predicted
212
+ oos 79
213
+ travel_suggestion 6
214
+ min_payment 6
215
+ restaurant_suggestion 2
216
+ change_volume 2
217
+ travel_notification 1
218
+ cancel 1
219
+ mpg 1
220
+ change_user_name 1
221
+ pto_used 1
222
+ Name: count, dtype: int64
223
+
224
+ Classification report saved to classification_report_llama3.2:3b_oos11notoos.txt
225
+
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+
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+
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+
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+
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+
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+ ================================================================================
232
+
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+ Run: 12notoos
234
+ Overall Accuracy: 45.00%
235
+ Overall F1: 62.07%
236
+ precision recall f1-score support
237
+
238
+ definition 0.00 nan 0.00 0
239
+ oos 1.00 0.45 0.62 100
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+ travel_suggestion 0.00 nan 0.00 0
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+ min_payment 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+ travel_notification 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ change_user_name 0.00 nan 0.00 0
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+ next_holiday 0.00 nan 0.00 0
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+
249
+ accuracy 0.45 100
250
+ macro avg 0.10 0.45 0.06 100
251
+ weighted avg 1.00 0.45 0.62 100
252
+
253
+ predicted
254
+ oos 45
255
+ definition 36
256
+ min_payment 6
257
+ travel_suggestion 5
258
+ change_volume 3
259
+ travel_notification 1
260
+ cancel 1
261
+ mpg 1
262
+ change_user_name 1
263
+ next_holiday 1
264
+ Name: count, dtype: int64
265
+
266
+ Classification report saved to classification_report_llama3.2:3b_oos12notoos.txt
267
+
268
+
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+
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+
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+
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+
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+ ================================================================================
274
+
275
+ Run: 13notoos
276
+ Overall Accuracy: 33.00%
277
+ Overall F1: 49.62%
278
+ precision recall f1-score support
279
+
280
+ definition 0.00 nan 0.00 0
281
+ oos 1.00 0.33 0.50 100
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+ travel_suggestion 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+ calculator 0.00 nan 0.00 0
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+ travel_notification 0.00 nan 0.00 0
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+ min_payment 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ change_user_name 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+ next_holiday 0.00 nan 0.00 0
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+
293
+ accuracy 0.33 100
294
+ macro avg 0.08 0.33 0.04 100
295
+ weighted avg 1.00 0.33 0.50 100
296
+
297
+ predicted
298
+ definition 34
299
+ oos 33
300
+ travel_suggestion 15
301
+ restaurant_suggestion 5
302
+ cancel 4
303
+ min_payment 2
304
+ mpg 2
305
+ calculator 1
306
+ travel_notification 1
307
+ change_user_name 1
308
+ change_volume 1
309
+ next_holiday 1
310
+ Name: count, dtype: int64
311
+
312
+ Classification report saved to classification_report_llama3.2:3b_oos13notoos.txt
313
+
314
+
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+
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+
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+
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+
319
+ ================================================================================
320
+
321
+ Run: 14notoos
322
+ Overall Accuracy: 43.00%
323
+ Overall F1: 60.14%
324
+ precision recall f1-score support
325
+
326
+ definition 0.00 nan 0.00 0
327
+ oos 1.00 0.43 0.60 100
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+ travel_suggestion 0.00 nan 0.00 0
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+ international_fees 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+ calculator 0.00 nan 0.00 0
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+ travel_notification 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ change_user_name 0.00 nan 0.00 0
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+
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+ accuracy 0.43 100
338
+ macro avg 0.10 0.43 0.06 100
339
+ weighted avg 1.00 0.43 0.60 100
340
+
341
+ predicted
342
+ oos 43
343
+ definition 31
344
+ travel_suggestion 10
345
+ international_fees 5
346
+ restaurant_suggestion 5
347
+ cancel 2
348
+ calculator 1
349
+ travel_notification 1
350
+ mpg 1
351
+ change_user_name 1
352
+ Name: count, dtype: int64
353
+
354
+ Classification report saved to classification_report_llama3.2:3b_oos14notoos.txt
355
+
356
+
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+
358
+
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+
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+
361
+ ================================================================================
362
+
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+
364
+ Run: 15notoos
365
+ Overall Accuracy: 28.00%
366
+ Overall F1: 43.75%
367
+ precision recall f1-score support
368
+
369
+ definition 0.00 nan 0.00 0
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+ current_location 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ travel_suggestion 0.00 nan 0.00 0
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+ international_fees 0.00 nan 0.00 0
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+ oos 1.00 0.28 0.44 100
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+ calculator 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+ travel_notification 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+ change_user_name 0.00 nan 0.00 0
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+
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+ accuracy 0.28 100
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+ macro avg 0.08 0.28 0.04 100
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+ weighted avg 1.00 0.28 0.44 100
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+
386
+ predicted
387
+ definition 41
388
+ oos 28
389
+ current_location 6
390
+ restaurant_suggestion 5
391
+ travel_suggestion 5
392
+ international_fees 5
393
+ calculator 3
394
+ cancel 3
395
+ travel_notification 1
396
+ mpg 1
397
+ change_volume 1
398
+ change_user_name 1
399
+ Name: count, dtype: int64
400
+
401
+ Classification report saved to classification_report_llama3.2:3b_oos15notoos.txt
402
+
403
+
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+
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+
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+
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+
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+ ================================================================================
409
+
410
+
411
+
412
+ Run: 20notoos
413
+ Overall Accuracy: 24.00%
414
+ Overall F1: 38.71%
415
+ precision recall f1-score support
416
+
417
+ travel_suggestion 0.00 nan 0.00 0
418
+ restaurant_suggestion 0.00 nan 0.00 0
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+ oos 1.00 0.24 0.39 100
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+ calculator 0.00 nan 0.00 0
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+ calories 0.00 nan 0.00 0
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+ definition 0.00 nan 0.00 0
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+ current_location 0.00 nan 0.00 0
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+ ingredient_substitution 0.00 nan 0.00 0
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+ schedule_maintenance 0.00 nan 0.00 0
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+ apr 0.00 nan 0.00 0
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+ cancel 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+ international_fees 0.00 nan 0.00 0
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+
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+ accuracy 0.24 100
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+ macro avg 0.07 0.24 0.03 100
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+ weighted avg 1.00 0.24 0.39 100
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+
436
+ predicted
437
+ definition 28
438
+ oos 24
439
+ restaurant_suggestion 15
440
+ travel_suggestion 12
441
+ calculator 6
442
+ calories 3
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+ ingredient_substitution 3
444
+ current_location 2
445
+ international_fees 2
446
+ schedule_maintenance 1
447
+ apr 1
448
+ cancel 1
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+ mpg 1
450
+ change_volume 1
451
+ Name: count, dtype: int64
452
+
453
+ Classification report saved to classification_report_llama3.2:3b_oos20notoos.txt
454
+
455
+
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+
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+
458
+
459
+
460
+ ================================================================================
461
+
462
+
463
+
464
+ Run: 30notoos
465
+ Overall Accuracy: 30.00%
466
+ Overall F1: 46.15%
467
+ precision recall f1-score support
468
+
469
+ fun_fact 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ travel_suggestion 0.00 nan 0.00 0
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+ calculator 0.00 nan 0.00 0
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+ calories 0.00 nan 0.00 0
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+ definition 0.00 nan 0.00 0
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+ oos 1.00 0.30 0.46 100
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+ current_location 0.00 nan 0.00 0
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+ schedule_maintenance 0.00 nan 0.00 0
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+ travel_alert 0.00 nan 0.00 0
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+ international_fees 0.00 nan 0.00 0
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+ maybe 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ sync_device 0.00 nan 0.00 0
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+ ingredient_substitution 0.00 nan 0.00 0
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+
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+ accuracy 0.30 100
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+ macro avg 0.07 0.30 0.03 100
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+ weighted avg 1.00 0.30 0.46 100
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+
489
+ predicted
490
+ oos 30
491
+ definition 22
492
+ travel_suggestion 13
493
+ restaurant_suggestion 9
494
+ fun_fact 6
495
+ calculator 4
496
+ international_fees 4
497
+ calories 3
498
+ travel_alert 2
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+ maybe 2
500
+ schedule_maintenance 1
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+ current_location 1
502
+ mpg 1
503
+ sync_device 1
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+ ingredient_substitution 1
505
+ Name: count, dtype: int64
506
+
507
+ Classification report saved to classification_report_llama3.2:3b_oos30notoos.txt
508
+
509
+
510
+
511
+
512
+
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+
514
+ ================================================================================
515
+
516
+
517
+ Run: 40notoos
518
+ Overall Accuracy: 17.00%
519
+ Overall F1: 29.06%
520
+ precision recall f1-score support
521
+
522
+ what_can_i_ask_you 0.00 nan 0.00 0
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+ ingredients_list 0.00 nan 0.00 0
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+ travel_suggestion 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ travel_alert 0.00 nan 0.00 0
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+ calories 0.00 nan 0.00 0
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+ calculator 0.00 nan 0.00 0
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+ definition 0.00 nan 0.00 0
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+ oos 1.00 0.17 0.29 100
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+ fun_fact 0.00 nan 0.00 0
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+ current_location 0.00 nan 0.00 0
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+ book_hotel 0.00 nan 0.00 0
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+ international_fees 0.00 nan 0.00 0
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+ lost_luggage 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ pay_bill 0.00 nan 0.00 0
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+ maybe 0.00 nan 0.00 0
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+ change_volume 0.00 nan 0.00 0
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+
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+ accuracy 0.17 100
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+ macro avg 0.06 0.17 0.02 100
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+ weighted avg 1.00 0.17 0.29 100
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+
545
+ predicted
546
+ definition 23
547
+ travel_suggestion 17
548
+ oos 17
549
+ international_fees 7
550
+ fun_fact 5
551
+ travel_alert 5
552
+ book_hotel 4
553
+ restaurant_suggestion 4
554
+ calories 4
555
+ current_location 3
556
+ maybe 2
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+ ingredients_list 2
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+ mpg 2
559
+ what_can_i_ask_you 1
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+ calculator 1
561
+ lost_luggage 1
562
+ pay_bill 1
563
+ change_volume 1
564
+ Name: count, dtype: int64
565
+
566
+ Classification report saved to classification_report_llama3.2:3b_oos40notoos.txt
567
+
568
+
569
+
570
+
571
+
572
+
573
+ ================================================================================
574
+
575
+
576
+ Run: 50notoos
577
+ Overall Accuracy: 35.00%
578
+ Overall F1: 51.85%
579
+ precision recall f1-score support
580
+
581
+ fun_fact 0.00 nan 0.00 0
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+ oos 1.00 0.35 0.52 100
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+ book_hotel 0.00 nan 0.00 0
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+ restaurant_suggestion 0.00 nan 0.00 0
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+ travel_suggestion 0.00 nan 0.00 0
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+ credit_limit_change 0.00 nan 0.00 0
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+ calories 0.00 nan 0.00 0
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+ definition 0.00 nan 0.00 0
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+ current_location 0.00 nan 0.00 0
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+ mpg 0.00 nan 0.00 0
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+ schedule_maintenance 0.00 nan 0.00 0
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+ gas 0.00 nan 0.00 0
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+ travel_alert 0.00 nan 0.00 0
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+ application_status 0.00 nan 0.00 0
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+ maybe 0.00 nan 0.00 0
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+ play_music 0.00 nan 0.00 0
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+ international_fees 0.00 nan 0.00 0
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+ recipe 0.00 nan 0.00 0
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+ how_busy 0.00 nan 0.00 0
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+
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+ accuracy 0.35 100
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+ macro avg 0.05 0.35 0.03 100
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+ weighted avg 1.00 0.35 0.52 100
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+
605
+ predicted
606
+ oos 35
607
+ definition 21
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+ fun_fact 6
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+ travel_suggestion 6
610
+ book_hotel 5
611
+ calories 5
612
+ schedule_maintenance 4
613
+ mpg 2
614
+ restaurant_suggestion 2
615
+ application_status 2
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+ travel_alert 2
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+ recipe 2
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+ international_fees 2
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+ current_location 1
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+ credit_limit_change 1
621
+ maybe 1
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+ gas 1
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+ play_music 1
624
+ how_busy 1
625
+ Name: count, dtype: int64
626
+
627
+ Classification report saved to classification_report_llama3.2:3b_oos50notoos.txt
628
+
629
+
630
+
631
+
632
+
633
+
634
+ ================================================================================
635
+
636
+
637
+
638
+ Run: 75notoos
639
+ Overall Accuracy: 14.00%
640
+ Overall F1: 24.56%
641
+ precision recall f1-score support
642
+
643
+ fun_fact 0.00 nan 0.00 0
644
+ shopping_list_update 0.00 nan 0.00 0
645
+ travel_suggestion 0.00 nan 0.00 0
646
+ restaurant_suggestion 0.00 nan 0.00 0
647
+ credit_limit_change 0.00 nan 0.00 0
648
+ definition 0.00 nan 0.00 0
649
+ tire_pressure 0.00 nan 0.00 0
650
+ oos 1.00 0.14 0.25 100
651
+ date 0.00 nan 0.00 0
652
+ schedule_maintenance 0.00 nan 0.00 0
653
+ recipe 0.00 nan 0.00 0
654
+ find_phone 0.00 nan 0.00 0
655
+ cook_time 0.00 nan 0.00 0
656
+ w2 0.00 nan 0.00 0
657
+ book_hotel 0.00 nan 0.00 0
658
+ calculator 0.00 nan 0.00 0
659
+ gas 0.00 nan 0.00 0
660
+ order_status 0.00 nan 0.00 0
661
+ travel_alert 0.00 nan 0.00 0
662
+ maybe 0.00 nan 0.00 0
663
+ mpg 0.00 nan 0.00 0
664
+ play_music 0.00 nan 0.00 0
665
+ application_status 0.00 nan 0.00 0
666
+ international_fees 0.00 nan 0.00 0
667
+ how_busy 0.00 nan 0.00 0
668
+ reminder 0.00 nan 0.00 0
669
+
670
+ accuracy 0.14 100
671
+ macro avg 0.04 0.14 0.01 100
672
+ weighted avg 1.00 0.14 0.25 100
673
+
674
+ predicted
675
+ definition 21
676
+ travel_suggestion 16
677
+ oos 14
678
+ fun_fact 8
679
+ restaurant_suggestion 6
680
+ recipe 5
681
+ book_hotel 3
682
+ credit_limit_change 3
683
+ shopping_list_update 2
684
+ tire_pressure 2
685
+ play_music 2
686
+ schedule_maintenance 2
687
+ calculator 2
688
+ find_phone 2
689
+ date 1
690
+ w2 1
691
+ gas 1
692
+ cook_time 1
693
+ order_status 1
694
+ travel_alert 1
695
+ maybe 1
696
+ mpg 1
697
+ application_status 1
698
+ international_fees 1
699
+ how_busy 1
700
+ reminder 1
701
+ Name: count, dtype: int64
702
+
703
+ Classification report saved to classification_report_llama3.2:3b_oos75notoos.txt
704
+
705
+
706
+ ================================================================================