SujanKarki
commited on
Commit
•
e5321d8
1
Parent(s):
1fcccde
Update README.md
Browse files
README.md
CHANGED
@@ -14,9 +14,9 @@ gretelai/synthetic_text_to_sql is a rich dataset of high quality synthetic Text-
|
|
14 |
### Training Result
|
15 |
|
16 |
|
17 |
-
|
18 |
|
19 |
-
10
|
20 |
|
21 |
20 1.331600
|
22 |
|
@@ -33,161 +33,316 @@ gretelai/synthetic_text_to_sql is a rich dataset of high quality synthetic Text-
|
|
33 |
80 1.192600
|
34 |
|
35 |
90 1.176700
|
|
|
36 |
100 1.118300
|
|
|
37 |
110 1.086800
|
|
|
38 |
120 1.048000
|
|
|
39 |
130 1.019500
|
|
|
40 |
140 1.001400
|
|
|
41 |
150 0.994300
|
|
|
42 |
160 0.934900
|
|
|
43 |
170 0.904500
|
|
|
44 |
180 0.879900
|
|
|
45 |
190 0.850400
|
|
|
46 |
200 0.828000
|
|
|
47 |
210 0.811400
|
|
|
48 |
220 0.846000
|
|
|
49 |
230 0.791100
|
|
|
50 |
240 0.766900
|
|
|
51 |
250 0.782000
|
|
|
52 |
260 0.718300
|
|
|
53 |
270 0.701800
|
|
|
54 |
280 0.720000
|
|
|
55 |
290 0.693600
|
|
|
56 |
300 0.676500
|
|
|
57 |
310 0.679900
|
|
|
58 |
320 0.673200
|
|
|
59 |
330 0.669500
|
|
|
60 |
340 0.692800
|
|
|
61 |
350 0.662200
|
|
|
62 |
360 0.761200
|
|
|
63 |
370 0.659600
|
|
|
64 |
380 0.683700
|
|
|
65 |
390 0.681200
|
|
|
66 |
400 0.674000
|
|
|
67 |
410 0.651800
|
|
|
68 |
420 0.641800
|
|
|
69 |
430 0.646500
|
|
|
70 |
440 0.664200
|
|
|
71 |
450 0.633600
|
|
|
72 |
460 0.646900
|
|
|
73 |
470 0.643400
|
|
|
74 |
480 0.658800
|
|
|
75 |
490 0.631500
|
|
|
76 |
500 0.678200
|
|
|
77 |
510 0.633400
|
|
|
78 |
520 0.623300
|
|
|
79 |
530 0.655700
|
|
|
80 |
540 0.631500
|
|
|
81 |
550 0.617700
|
|
|
82 |
560 0.644000
|
|
|
83 |
570 0.650200
|
|
|
84 |
580 0.618500
|
|
|
85 |
590 0.615400
|
|
|
86 |
600 0.614000
|
|
|
87 |
610 0.612800
|
|
|
88 |
620 0.616900
|
|
|
89 |
630 0.640200
|
|
|
90 |
640 0.613000
|
|
|
91 |
650 0.611400
|
|
|
92 |
660 0.617000
|
|
|
93 |
670 0.629800
|
|
|
94 |
680 0.648800
|
|
|
95 |
690 0.608800
|
|
|
96 |
700 0.603200
|
|
|
97 |
710 0.628200
|
|
|
98 |
720 0.629700
|
|
|
99 |
730 0.604400
|
|
|
100 |
740 0.610700
|
|
|
101 |
750 0.621300
|
|
|
102 |
760 0.617900
|
|
|
103 |
770 0.596500
|
|
|
104 |
780 0.612800
|
|
|
105 |
790 0.611700
|
|
|
106 |
800 0.618600
|
|
|
107 |
810 0.590900
|
|
|
108 |
820 0.590300
|
|
|
109 |
830 0.592900
|
|
|
110 |
840 0.611700
|
|
|
111 |
850 0.628300
|
|
|
112 |
860 0.590100
|
|
|
113 |
870 0.584800
|
|
|
114 |
880 0.591200
|
|
|
115 |
890 0.585900
|
|
|
116 |
900 0.607000
|
|
|
117 |
910 0.578800
|
|
|
118 |
920 0.576600
|
|
|
119 |
930 0.597600
|
|
|
120 |
940 0.602100
|
|
|
121 |
950 0.579000
|
|
|
122 |
960 0.597900
|
|
|
123 |
970 0.590600
|
|
|
124 |
980 0.606100
|
|
|
125 |
990 0.577600
|
|
|
126 |
1000 0.584000
|
|
|
127 |
1010 0.569300
|
|
|
128 |
1020 0.594000
|
|
|
129 |
1030 0.596100
|
|
|
130 |
1040 0.590600
|
|
|
131 |
1050 0.570300
|
|
|
132 |
1060 0.572800
|
|
|
133 |
1070 0.572200
|
|
|
134 |
1080 0.569900
|
|
|
135 |
1090 0.587200
|
|
|
136 |
1100 0.572200
|
|
|
137 |
1110 0.569700
|
|
|
138 |
1120 0.612500
|
|
|
139 |
1130 0.587800
|
|
|
140 |
1140 0.568100
|
|
|
141 |
1150 0.573100
|
|
|
142 |
1160 0.568300
|
|
|
143 |
1170 0.620800
|
|
|
144 |
1180 0.570600
|
|
|
145 |
1190 0.561500
|
|
|
146 |
1200 0.560200
|
|
|
147 |
1210 0.592400
|
|
|
148 |
1220 0.580500
|
|
|
149 |
1230 0.578300
|
|
|
150 |
1240 0.573400
|
|
|
151 |
1250 0.568800
|
|
|
152 |
1260 0.600500
|
|
|
153 |
1270 0.578800
|
|
|
154 |
1280 0.561300
|
|
|
155 |
1290 0.570900
|
|
|
156 |
1300 0.567700
|
|
|
157 |
1310 0.589800
|
|
|
158 |
1320 0.598200
|
|
|
159 |
1330 0.564900
|
|
|
160 |
1340 0.577500
|
|
|
161 |
1350 0.565700
|
|
|
162 |
1360 0.581400
|
|
|
163 |
1370 0.562000
|
|
|
164 |
1380 0.588200
|
|
|
165 |
1390 0.603800
|
|
|
166 |
1400 0.560300
|
|
|
167 |
1410 0.559600
|
|
|
168 |
1420 0.567000
|
|
|
169 |
1430 0.562700
|
|
|
170 |
1440 0.564200
|
|
|
171 |
1450 0.563700
|
|
|
172 |
1460 0.561100
|
|
|
173 |
1470 0.561100
|
|
|
174 |
1480 0.561600
|
|
|
175 |
1490 0.564800
|
|
|
176 |
1500 0.579100
|
|
|
177 |
1510 0.564100
|
|
|
178 |
1520 0.562900
|
|
|
179 |
1530 0.569800
|
|
|
180 |
1540 0.566200
|
|
|
181 |
1550 0.599100
|
|
|
182 |
1560 0.562000
|
|
|
183 |
1570 0.580600
|
|
|
184 |
1580 0.564900
|
|
|
185 |
1590 0.571900
|
|
|
186 |
1600 0.580000
|
|
|
187 |
1610 0.559200
|
|
|
188 |
1620 0.566900
|
|
|
189 |
1630 0.556100
|
190 |
|
|
|
191 |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/66465899a15e2eb8fd53727d/UNamiG8HciSUBxfS2erbv.png)
|
192 |
|
193 |
#### Training Hyperparameters
|
|
|
14 |
### Training Result
|
15 |
|
16 |
|
17 |
+
Step Training Loss
|
18 |
|
19 |
+
10 1.296000
|
20 |
|
21 |
20 1.331600
|
22 |
|
|
|
33 |
80 1.192600
|
34 |
|
35 |
90 1.176700
|
36 |
+
|
37 |
100 1.118300
|
38 |
+
|
39 |
110 1.086800
|
40 |
+
|
41 |
120 1.048000
|
42 |
+
|
43 |
130 1.019500
|
44 |
+
|
45 |
140 1.001400
|
46 |
+
|
47 |
150 0.994300
|
48 |
+
|
49 |
160 0.934900
|
50 |
+
|
51 |
170 0.904500
|
52 |
+
|
53 |
180 0.879900
|
54 |
+
|
55 |
190 0.850400
|
56 |
+
|
57 |
200 0.828000
|
58 |
+
|
59 |
210 0.811400
|
60 |
+
|
61 |
220 0.846000
|
62 |
+
|
63 |
230 0.791100
|
64 |
+
|
65 |
240 0.766900
|
66 |
+
|
67 |
250 0.782000
|
68 |
+
|
69 |
260 0.718300
|
70 |
+
|
71 |
270 0.701800
|
72 |
+
|
73 |
280 0.720000
|
74 |
+
|
75 |
290 0.693600
|
76 |
+
|
77 |
300 0.676500
|
78 |
+
|
79 |
310 0.679900
|
80 |
+
|
81 |
320 0.673200
|
82 |
+
|
83 |
330 0.669500
|
84 |
+
|
85 |
340 0.692800
|
86 |
+
|
87 |
350 0.662200
|
88 |
+
|
89 |
360 0.761200
|
90 |
+
|
91 |
370 0.659600
|
92 |
+
|
93 |
380 0.683700
|
94 |
+
|
95 |
390 0.681200
|
96 |
+
|
97 |
400 0.674000
|
98 |
+
|
99 |
410 0.651800
|
100 |
+
|
101 |
420 0.641800
|
102 |
+
|
103 |
430 0.646500
|
104 |
+
|
105 |
440 0.664200
|
106 |
+
|
107 |
450 0.633600
|
108 |
+
|
109 |
460 0.646900
|
110 |
+
|
111 |
470 0.643400
|
112 |
+
|
113 |
480 0.658800
|
114 |
+
|
115 |
490 0.631500
|
116 |
+
|
117 |
500 0.678200
|
118 |
+
|
119 |
510 0.633400
|
120 |
+
|
121 |
520 0.623300
|
122 |
+
|
123 |
530 0.655700
|
124 |
+
|
125 |
540 0.631500
|
126 |
+
|
127 |
550 0.617700
|
128 |
+
|
129 |
560 0.644000
|
130 |
+
|
131 |
570 0.650200
|
132 |
+
|
133 |
580 0.618500
|
134 |
+
|
135 |
590 0.615400
|
136 |
+
|
137 |
600 0.614000
|
138 |
+
|
139 |
610 0.612800
|
140 |
+
|
141 |
620 0.616900
|
142 |
+
|
143 |
630 0.640200
|
144 |
+
|
145 |
640 0.613000
|
146 |
+
|
147 |
650 0.611400
|
148 |
+
|
149 |
660 0.617000
|
150 |
+
|
151 |
670 0.629800
|
152 |
+
|
153 |
680 0.648800
|
154 |
+
|
155 |
690 0.608800
|
156 |
+
|
157 |
700 0.603200
|
158 |
+
|
159 |
710 0.628200
|
160 |
+
|
161 |
720 0.629700
|
162 |
+
|
163 |
730 0.604400
|
164 |
+
|
165 |
740 0.610700
|
166 |
+
|
167 |
750 0.621300
|
168 |
+
|
169 |
760 0.617900
|
170 |
+
|
171 |
770 0.596500
|
172 |
+
|
173 |
780 0.612800
|
174 |
+
|
175 |
790 0.611700
|
176 |
+
|
177 |
800 0.618600
|
178 |
+
|
179 |
810 0.590900
|
180 |
+
|
181 |
820 0.590300
|
182 |
+
|
183 |
830 0.592900
|
184 |
+
|
185 |
840 0.611700
|
186 |
+
|
187 |
850 0.628300
|
188 |
+
|
189 |
860 0.590100
|
190 |
+
|
191 |
870 0.584800
|
192 |
+
|
193 |
880 0.591200
|
194 |
+
|
195 |
890 0.585900
|
196 |
+
|
197 |
900 0.607000
|
198 |
+
|
199 |
910 0.578800
|
200 |
+
|
201 |
920 0.576600
|
202 |
+
|
203 |
930 0.597600
|
204 |
+
|
205 |
940 0.602100
|
206 |
+
|
207 |
950 0.579000
|
208 |
+
|
209 |
960 0.597900
|
210 |
+
|
211 |
970 0.590600
|
212 |
+
|
213 |
980 0.606100
|
214 |
+
|
215 |
990 0.577600
|
216 |
+
|
217 |
1000 0.584000
|
218 |
+
|
219 |
1010 0.569300
|
220 |
+
|
221 |
1020 0.594000
|
222 |
+
|
223 |
1030 0.596100
|
224 |
+
|
225 |
1040 0.590600
|
226 |
+
|
227 |
1050 0.570300
|
228 |
+
|
229 |
1060 0.572800
|
230 |
+
|
231 |
1070 0.572200
|
232 |
+
|
233 |
1080 0.569900
|
234 |
+
|
235 |
1090 0.587200
|
236 |
+
|
237 |
1100 0.572200
|
238 |
+
|
239 |
1110 0.569700
|
240 |
+
|
241 |
1120 0.612500
|
242 |
+
|
243 |
1130 0.587800
|
244 |
+
|
245 |
1140 0.568100
|
246 |
+
|
247 |
1150 0.573100
|
248 |
+
|
249 |
1160 0.568300
|
250 |
+
|
251 |
1170 0.620800
|
252 |
+
|
253 |
1180 0.570600
|
254 |
+
|
255 |
1190 0.561500
|
256 |
+
|
257 |
1200 0.560200
|
258 |
+
|
259 |
1210 0.592400
|
260 |
+
|
261 |
1220 0.580500
|
262 |
+
|
263 |
1230 0.578300
|
264 |
+
|
265 |
1240 0.573400
|
266 |
+
|
267 |
1250 0.568800
|
268 |
+
|
269 |
1260 0.600500
|
270 |
+
|
271 |
1270 0.578800
|
272 |
+
|
273 |
1280 0.561300
|
274 |
+
|
275 |
1290 0.570900
|
276 |
+
|
277 |
1300 0.567700
|
278 |
+
|
279 |
1310 0.589800
|
280 |
+
|
281 |
1320 0.598200
|
282 |
+
|
283 |
1330 0.564900
|
284 |
+
|
285 |
1340 0.577500
|
286 |
+
|
287 |
1350 0.565700
|
288 |
+
|
289 |
1360 0.581400
|
290 |
+
|
291 |
1370 0.562000
|
292 |
+
|
293 |
1380 0.588200
|
294 |
+
|
295 |
1390 0.603800
|
296 |
+
|
297 |
1400 0.560300
|
298 |
+
|
299 |
1410 0.559600
|
300 |
+
|
301 |
1420 0.567000
|
302 |
+
|
303 |
1430 0.562700
|
304 |
+
|
305 |
1440 0.564200
|
306 |
+
|
307 |
1450 0.563700
|
308 |
+
|
309 |
1460 0.561100
|
310 |
+
|
311 |
1470 0.561100
|
312 |
+
|
313 |
1480 0.561600
|
314 |
+
|
315 |
1490 0.564800
|
316 |
+
|
317 |
1500 0.579100
|
318 |
+
|
319 |
1510 0.564100
|
320 |
+
|
321 |
1520 0.562900
|
322 |
+
|
323 |
1530 0.569800
|
324 |
+
|
325 |
1540 0.566200
|
326 |
+
|
327 |
1550 0.599100
|
328 |
+
|
329 |
1560 0.562000
|
330 |
+
|
331 |
1570 0.580600
|
332 |
+
|
333 |
1580 0.564900
|
334 |
+
|
335 |
1590 0.571900
|
336 |
+
|
337 |
1600 0.580000
|
338 |
+
|
339 |
1610 0.559200
|
340 |
+
|
341 |
1620 0.566900
|
342 |
+
|
343 |
1630 0.556100
|
344 |
|
345 |
+
|
346 |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/66465899a15e2eb8fd53727d/UNamiG8HciSUBxfS2erbv.png)
|
347 |
|
348 |
#### Training Hyperparameters
|