model update
Browse files
README.md
CHANGED
@@ -31,37 +31,37 @@ model-index:
|
|
31 |
type: default
|
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args: default
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metrics:
|
34 |
-
- name: BLEU4
|
35 |
-
type:
|
36 |
value: 26.17
|
37 |
-
- name: ROUGE-L
|
38 |
-
type:
|
39 |
value: 53.85
|
40 |
-
- name: METEOR
|
41 |
-
type:
|
42 |
value: 27.07
|
43 |
-
- name: BERTScore
|
44 |
-
type:
|
45 |
value: 91.0
|
46 |
-
- name: MoverScore
|
47 |
-
type:
|
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value: 64.99
|
49 |
-
- name: QAAlignedF1Score (
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type: qa_aligned_f1_score_bertscore_gold_answer
|
51 |
value: 95.54
|
52 |
-
- name: QAAlignedRecall (
|
53 |
type: qa_aligned_recall_bertscore_gold_answer
|
54 |
value: 95.49
|
55 |
-
- name: QAAlignedPrecision (
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type: qa_aligned_precision_bertscore_gold_answer
|
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value: 95.59
|
58 |
-
- name: QAAlignedF1Score (
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type: qa_aligned_f1_score_moverscore_gold_answer
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value: 70.82
|
61 |
-
- name: QAAlignedRecall (
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type: qa_aligned_recall_moverscore_gold_answer
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value: 70.54
|
64 |
-
- name: QAAlignedPrecision (
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type: qa_aligned_precision_moverscore_gold_answer
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value: 71.13
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67 |
- task:
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@@ -72,20 +72,20 @@ model-index:
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type: amazon
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args: amazon
|
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metrics:
|
75 |
-
- name: BLEU4
|
76 |
-
type:
|
77 |
value: 0.06530369842068952
|
78 |
-
- name: ROUGE-L
|
79 |
-
type:
|
80 |
value: 0.25030985091008146
|
81 |
-
- name: METEOR
|
82 |
-
type:
|
83 |
value: 0.2229994442645732
|
84 |
-
- name: BERTScore
|
85 |
-
type:
|
86 |
value: 0.9092814804525936
|
87 |
-
- name: MoverScore
|
88 |
-
type:
|
89 |
value: 0.6086538514008419
|
90 |
- task:
|
91 |
name: Text2text Generation
|
@@ -95,20 +95,20 @@ model-index:
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|
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type: new_wiki
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args: new_wiki
|
97 |
metrics:
|
98 |
-
- name: BLEU4
|
99 |
-
type:
|
100 |
value: 0.11118273173452982
|
101 |
-
- name: ROUGE-L
|
102 |
-
type:
|
103 |
value: 0.2967546690273089
|
104 |
-
- name: METEOR
|
105 |
-
type:
|
106 |
value: 0.27315087810722966
|
107 |
-
- name: BERTScore
|
108 |
-
type:
|
109 |
value: 0.9322739617807421
|
110 |
-
- name: MoverScore
|
111 |
-
type:
|
112 |
value: 0.6623000084761579
|
113 |
- task:
|
114 |
name: Text2text Generation
|
@@ -118,20 +118,20 @@ model-index:
|
|
118 |
type: nyt
|
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args: nyt
|
120 |
metrics:
|
121 |
-
- name: BLEU4
|
122 |
-
type:
|
123 |
value: 0.08117757543966063
|
124 |
-
- name: ROUGE-L
|
125 |
-
type:
|
126 |
value: 0.25292097720734297
|
127 |
-
- name: METEOR
|
128 |
-
type:
|
129 |
value: 0.25254205113198686
|
130 |
-
- name: BERTScore
|
131 |
-
type:
|
132 |
value: 0.9249009759439454
|
133 |
-
- name: MoverScore
|
134 |
-
type:
|
135 |
value: 0.6406329128556304
|
136 |
- task:
|
137 |
name: Text2text Generation
|
@@ -141,20 +141,20 @@ model-index:
|
|
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type: reddit
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args: reddit
|
143 |
metrics:
|
144 |
-
- name: BLEU4
|
145 |
-
type:
|
146 |
value: 0.059525104157825456
|
147 |
-
- name: ROUGE-L
|
148 |
-
type:
|
149 |
value: 0.22365090580055863
|
150 |
-
- name: METEOR
|
151 |
-
type:
|
152 |
value: 0.21499800504546457
|
153 |
-
- name: BERTScore
|
154 |
-
type:
|
155 |
value: 0.9095144685254328
|
156 |
-
- name: MoverScore
|
157 |
-
type:
|
158 |
value: 0.6059332247878408
|
159 |
- task:
|
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name: Text2text Generation
|
@@ -164,20 +164,20 @@ model-index:
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type: books
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args: books
|
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metrics:
|
167 |
-
- name: BLEU4
|
168 |
-
type:
|
169 |
value: 0.006278914808207679
|
170 |
-
- name: ROUGE-L
|
171 |
-
type:
|
172 |
value: 0.12368226019088967
|
173 |
-
- name: METEOR
|
174 |
-
type:
|
175 |
value: 0.11576293675813865
|
176 |
-
- name: BERTScore
|
177 |
-
type:
|
178 |
value: 0.8807110440044503
|
179 |
-
- name: MoverScore
|
180 |
-
type:
|
181 |
value: 0.5555905941686486
|
182 |
- task:
|
183 |
name: Text2text Generation
|
@@ -187,20 +187,20 @@ model-index:
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|
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type: electronics
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args: electronics
|
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metrics:
|
190 |
-
- name: BLEU4
|
191 |
-
type:
|
192 |
value: 0.00866799444965211
|
193 |
-
- name: ROUGE-L
|
194 |
-
type:
|
195 |
value: 0.1601628874804186
|
196 |
-
- name: METEOR
|
197 |
-
type:
|
198 |
value: 0.15348605312210778
|
199 |
-
- name: BERTScore
|
200 |
-
type:
|
201 |
value: 0.8783386920680519
|
202 |
-
- name: MoverScore
|
203 |
-
type:
|
204 |
value: 0.5634845371093992
|
205 |
- task:
|
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name: Text2text Generation
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@@ -210,20 +210,20 @@ model-index:
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type: grocery
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args: grocery
|
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metrics:
|
213 |
-
- name: BLEU4
|
214 |
-
type:
|
215 |
value: 0.00528043272450429
|
216 |
-
- name: ROUGE-L
|
217 |
-
type:
|
218 |
value: 0.12343711316491492
|
219 |
-
- name: METEOR
|
220 |
-
type:
|
221 |
value: 0.15133496445452477
|
222 |
-
- name: BERTScore
|
223 |
-
type:
|
224 |
value: 0.8778951253890991
|
225 |
-
- name: MoverScore
|
226 |
-
type:
|
227 |
value: 0.5701949938103265
|
228 |
- task:
|
229 |
name: Text2text Generation
|
@@ -233,20 +233,20 @@ model-index:
|
|
233 |
type: movies
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args: movies
|
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metrics:
|
236 |
-
- name: BLEU4
|
237 |
-
type:
|
238 |
value: 1.0121579426501661e-06
|
239 |
-
- name: ROUGE-L
|
240 |
-
type:
|
241 |
value: 0.12508697028506718
|
242 |
-
- name: METEOR
|
243 |
-
type:
|
244 |
value: 0.11862284941640638
|
245 |
-
- name: BERTScore
|
246 |
-
type:
|
247 |
value: 0.8748829724726739
|
248 |
-
- name: MoverScore
|
249 |
-
type:
|
250 |
value: 0.5528899173535703
|
251 |
- task:
|
252 |
name: Text2text Generation
|
@@ -256,20 +256,20 @@ model-index:
|
|
256 |
type: restaurants
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args: restaurants
|
258 |
metrics:
|
259 |
-
- name: BLEU4
|
260 |
-
type:
|
261 |
value: 1.1301750984972448e-06
|
262 |
-
- name: ROUGE-L
|
263 |
-
type:
|
264 |
value: 0.13083168975354642
|
265 |
-
- name: METEOR
|
266 |
-
type:
|
267 |
value: 0.12419733006916912
|
268 |
-
- name: BERTScore
|
269 |
-
type:
|
270 |
value: 0.8797711839570719
|
271 |
-
- name: MoverScore
|
272 |
-
type:
|
273 |
value: 0.5542757411268555
|
274 |
- task:
|
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name: Text2text Generation
|
@@ -279,20 +279,20 @@ model-index:
|
|
279 |
type: tripadvisor
|
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args: tripadvisor
|
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metrics:
|
282 |
-
- name: BLEU4
|
283 |
-
type:
|
284 |
value: 8.380171318718442e-07
|
285 |
-
- name: ROUGE-L
|
286 |
-
type:
|
287 |
value: 0.1402922852924756
|
288 |
-
- name: METEOR
|
289 |
-
type:
|
290 |
value: 0.1372146070365174
|
291 |
-
- name: BERTScore
|
292 |
-
type:
|
293 |
value: 0.8891002409937424
|
294 |
-
- name: MoverScore
|
295 |
-
type:
|
296 |
value: 0.5604572211470809
|
297 |
---
|
298 |
|
|
|
31 |
type: default
|
32 |
args: default
|
33 |
metrics:
|
34 |
+
- name: BLEU4 (Question Generation)
|
35 |
+
type: bleu4_question_generation
|
36 |
value: 26.17
|
37 |
+
- name: ROUGE-L (Question Generation)
|
38 |
+
type: rouge_l_question_generation
|
39 |
value: 53.85
|
40 |
+
- name: METEOR (Question Generation)
|
41 |
+
type: meteor_question_generation
|
42 |
value: 27.07
|
43 |
+
- name: BERTScore (Question Generation)
|
44 |
+
type: bertscore_question_generation
|
45 |
value: 91.0
|
46 |
+
- name: MoverScore (Question Generation)
|
47 |
+
type: moverscore_question_generation
|
48 |
value: 64.99
|
49 |
+
- name: QAAlignedF1Score-BERTScore (Gold Answer)
|
50 |
type: qa_aligned_f1_score_bertscore_gold_answer
|
51 |
value: 95.54
|
52 |
+
- name: QAAlignedRecall-BERTScore (Gold Answer)
|
53 |
type: qa_aligned_recall_bertscore_gold_answer
|
54 |
value: 95.49
|
55 |
+
- name: QAAlignedPrecision-BERTScore (Gold Answer)
|
56 |
type: qa_aligned_precision_bertscore_gold_answer
|
57 |
value: 95.59
|
58 |
+
- name: QAAlignedF1Score-MoverScore (Gold Answer)
|
59 |
type: qa_aligned_f1_score_moverscore_gold_answer
|
60 |
value: 70.82
|
61 |
+
- name: QAAlignedRecall-MoverScore (Gold Answer)
|
62 |
type: qa_aligned_recall_moverscore_gold_answer
|
63 |
value: 70.54
|
64 |
+
- name: QAAlignedPrecision-MoverScore (Gold Answer)
|
65 |
type: qa_aligned_precision_moverscore_gold_answer
|
66 |
value: 71.13
|
67 |
- task:
|
|
|
72 |
type: amazon
|
73 |
args: amazon
|
74 |
metrics:
|
75 |
+
- name: BLEU4 (Question Generation)
|
76 |
+
type: bleu4_question_generation
|
77 |
value: 0.06530369842068952
|
78 |
+
- name: ROUGE-L (Question Generation)
|
79 |
+
type: rouge_l_question_generation
|
80 |
value: 0.25030985091008146
|
81 |
+
- name: METEOR (Question Generation)
|
82 |
+
type: meteor_question_generation
|
83 |
value: 0.2229994442645732
|
84 |
+
- name: BERTScore (Question Generation)
|
85 |
+
type: bertscore_question_generation
|
86 |
value: 0.9092814804525936
|
87 |
+
- name: MoverScore (Question Generation)
|
88 |
+
type: moverscore_question_generation
|
89 |
value: 0.6086538514008419
|
90 |
- task:
|
91 |
name: Text2text Generation
|
|
|
95 |
type: new_wiki
|
96 |
args: new_wiki
|
97 |
metrics:
|
98 |
+
- name: BLEU4 (Question Generation)
|
99 |
+
type: bleu4_question_generation
|
100 |
value: 0.11118273173452982
|
101 |
+
- name: ROUGE-L (Question Generation)
|
102 |
+
type: rouge_l_question_generation
|
103 |
value: 0.2967546690273089
|
104 |
+
- name: METEOR (Question Generation)
|
105 |
+
type: meteor_question_generation
|
106 |
value: 0.27315087810722966
|
107 |
+
- name: BERTScore (Question Generation)
|
108 |
+
type: bertscore_question_generation
|
109 |
value: 0.9322739617807421
|
110 |
+
- name: MoverScore (Question Generation)
|
111 |
+
type: moverscore_question_generation
|
112 |
value: 0.6623000084761579
|
113 |
- task:
|
114 |
name: Text2text Generation
|
|
|
118 |
type: nyt
|
119 |
args: nyt
|
120 |
metrics:
|
121 |
+
- name: BLEU4 (Question Generation)
|
122 |
+
type: bleu4_question_generation
|
123 |
value: 0.08117757543966063
|
124 |
+
- name: ROUGE-L (Question Generation)
|
125 |
+
type: rouge_l_question_generation
|
126 |
value: 0.25292097720734297
|
127 |
+
- name: METEOR (Question Generation)
|
128 |
+
type: meteor_question_generation
|
129 |
value: 0.25254205113198686
|
130 |
+
- name: BERTScore (Question Generation)
|
131 |
+
type: bertscore_question_generation
|
132 |
value: 0.9249009759439454
|
133 |
+
- name: MoverScore (Question Generation)
|
134 |
+
type: moverscore_question_generation
|
135 |
value: 0.6406329128556304
|
136 |
- task:
|
137 |
name: Text2text Generation
|
|
|
141 |
type: reddit
|
142 |
args: reddit
|
143 |
metrics:
|
144 |
+
- name: BLEU4 (Question Generation)
|
145 |
+
type: bleu4_question_generation
|
146 |
value: 0.059525104157825456
|
147 |
+
- name: ROUGE-L (Question Generation)
|
148 |
+
type: rouge_l_question_generation
|
149 |
value: 0.22365090580055863
|
150 |
+
- name: METEOR (Question Generation)
|
151 |
+
type: meteor_question_generation
|
152 |
value: 0.21499800504546457
|
153 |
+
- name: BERTScore (Question Generation)
|
154 |
+
type: bertscore_question_generation
|
155 |
value: 0.9095144685254328
|
156 |
+
- name: MoverScore (Question Generation)
|
157 |
+
type: moverscore_question_generation
|
158 |
value: 0.6059332247878408
|
159 |
- task:
|
160 |
name: Text2text Generation
|
|
|
164 |
type: books
|
165 |
args: books
|
166 |
metrics:
|
167 |
+
- name: BLEU4 (Question Generation)
|
168 |
+
type: bleu4_question_generation
|
169 |
value: 0.006278914808207679
|
170 |
+
- name: ROUGE-L (Question Generation)
|
171 |
+
type: rouge_l_question_generation
|
172 |
value: 0.12368226019088967
|
173 |
+
- name: METEOR (Question Generation)
|
174 |
+
type: meteor_question_generation
|
175 |
value: 0.11576293675813865
|
176 |
+
- name: BERTScore (Question Generation)
|
177 |
+
type: bertscore_question_generation
|
178 |
value: 0.8807110440044503
|
179 |
+
- name: MoverScore (Question Generation)
|
180 |
+
type: moverscore_question_generation
|
181 |
value: 0.5555905941686486
|
182 |
- task:
|
183 |
name: Text2text Generation
|
|
|
187 |
type: electronics
|
188 |
args: electronics
|
189 |
metrics:
|
190 |
+
- name: BLEU4 (Question Generation)
|
191 |
+
type: bleu4_question_generation
|
192 |
value: 0.00866799444965211
|
193 |
+
- name: ROUGE-L (Question Generation)
|
194 |
+
type: rouge_l_question_generation
|
195 |
value: 0.1601628874804186
|
196 |
+
- name: METEOR (Question Generation)
|
197 |
+
type: meteor_question_generation
|
198 |
value: 0.15348605312210778
|
199 |
+
- name: BERTScore (Question Generation)
|
200 |
+
type: bertscore_question_generation
|
201 |
value: 0.8783386920680519
|
202 |
+
- name: MoverScore (Question Generation)
|
203 |
+
type: moverscore_question_generation
|
204 |
value: 0.5634845371093992
|
205 |
- task:
|
206 |
name: Text2text Generation
|
|
|
210 |
type: grocery
|
211 |
args: grocery
|
212 |
metrics:
|
213 |
+
- name: BLEU4 (Question Generation)
|
214 |
+
type: bleu4_question_generation
|
215 |
value: 0.00528043272450429
|
216 |
+
- name: ROUGE-L (Question Generation)
|
217 |
+
type: rouge_l_question_generation
|
218 |
value: 0.12343711316491492
|
219 |
+
- name: METEOR (Question Generation)
|
220 |
+
type: meteor_question_generation
|
221 |
value: 0.15133496445452477
|
222 |
+
- name: BERTScore (Question Generation)
|
223 |
+
type: bertscore_question_generation
|
224 |
value: 0.8778951253890991
|
225 |
+
- name: MoverScore (Question Generation)
|
226 |
+
type: moverscore_question_generation
|
227 |
value: 0.5701949938103265
|
228 |
- task:
|
229 |
name: Text2text Generation
|
|
|
233 |
type: movies
|
234 |
args: movies
|
235 |
metrics:
|
236 |
+
- name: BLEU4 (Question Generation)
|
237 |
+
type: bleu4_question_generation
|
238 |
value: 1.0121579426501661e-06
|
239 |
+
- name: ROUGE-L (Question Generation)
|
240 |
+
type: rouge_l_question_generation
|
241 |
value: 0.12508697028506718
|
242 |
+
- name: METEOR (Question Generation)
|
243 |
+
type: meteor_question_generation
|
244 |
value: 0.11862284941640638
|
245 |
+
- name: BERTScore (Question Generation)
|
246 |
+
type: bertscore_question_generation
|
247 |
value: 0.8748829724726739
|
248 |
+
- name: MoverScore (Question Generation)
|
249 |
+
type: moverscore_question_generation
|
250 |
value: 0.5528899173535703
|
251 |
- task:
|
252 |
name: Text2text Generation
|
|
|
256 |
type: restaurants
|
257 |
args: restaurants
|
258 |
metrics:
|
259 |
+
- name: BLEU4 (Question Generation)
|
260 |
+
type: bleu4_question_generation
|
261 |
value: 1.1301750984972448e-06
|
262 |
+
- name: ROUGE-L (Question Generation)
|
263 |
+
type: rouge_l_question_generation
|
264 |
value: 0.13083168975354642
|
265 |
+
- name: METEOR (Question Generation)
|
266 |
+
type: meteor_question_generation
|
267 |
value: 0.12419733006916912
|
268 |
+
- name: BERTScore (Question Generation)
|
269 |
+
type: bertscore_question_generation
|
270 |
value: 0.8797711839570719
|
271 |
+
- name: MoverScore (Question Generation)
|
272 |
+
type: moverscore_question_generation
|
273 |
value: 0.5542757411268555
|
274 |
- task:
|
275 |
name: Text2text Generation
|
|
|
279 |
type: tripadvisor
|
280 |
args: tripadvisor
|
281 |
metrics:
|
282 |
+
- name: BLEU4 (Question Generation)
|
283 |
+
type: bleu4_question_generation
|
284 |
value: 8.380171318718442e-07
|
285 |
+
- name: ROUGE-L (Question Generation)
|
286 |
+
type: rouge_l_question_generation
|
287 |
value: 0.1402922852924756
|
288 |
+
- name: METEOR (Question Generation)
|
289 |
+
type: meteor_question_generation
|
290 |
value: 0.1372146070365174
|
291 |
+
- name: BERTScore (Question Generation)
|
292 |
+
type: bertscore_question_generation
|
293 |
value: 0.8891002409937424
|
294 |
+
- name: MoverScore (Question Generation)
|
295 |
+
type: moverscore_question_generation
|
296 |
value: 0.5604572211470809
|
297 |
---
|
298 |
|