Commit
•
2a75437
1
Parent(s):
a611241
final
Browse files- README.md +2 -0
- inf2.pkl +3 -0
- wikisql_inf.ipynb +0 -0
- wikisql_retrain.ipynb +1611 -0
README.md
CHANGED
@@ -16,6 +16,8 @@ https://github.com/tloen/alpaca-lora
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https://huggingface.co/docs/transformers/main/en/model_doc/llama#llama
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https://huggingface.co/docs/transformers/index
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https://github.com/salesforce/WikiSQL
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https://arxiv.org/pdf/1910.13461.pdf
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https://huggingface.co/docs/transformers/main/en/model_doc/llama#llama
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https://huggingface.co/docs/transformers/index
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https://github.com/salesforce/WikiSQL
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+
https://github.com/huggingface/peft
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+
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https://arxiv.org/pdf/1910.13461.pdf
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inf2.pkl
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:1d423a6b369859e281c8abe3c9b9a586c941d9add5e30ef0fb0f128c819de54a
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+
size 4305279
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wikisql_inf.ipynb
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The diff for this file is too large to render.
See raw diff
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wikisql_retrain.ipynb
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@@ -0,0 +1,1611 @@
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1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 1,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [
|
8 |
+
{
|
9 |
+
"data": {
|
10 |
+
"text/plain": [
|
11 |
+
"True"
|
12 |
+
]
|
13 |
+
},
|
14 |
+
"execution_count": 1,
|
15 |
+
"metadata": {},
|
16 |
+
"output_type": "execute_result"
|
17 |
+
}
|
18 |
+
],
|
19 |
+
"source": [
|
20 |
+
"import torch\n",
|
21 |
+
"import torch.nn as nn\n",
|
22 |
+
"torch.cuda.is_available()"
|
23 |
+
]
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"cell_type": "code",
|
27 |
+
"execution_count": 2,
|
28 |
+
"metadata": {},
|
29 |
+
"outputs": [
|
30 |
+
{
|
31 |
+
"name": "stderr",
|
32 |
+
"output_type": "stream",
|
33 |
+
"text": [
|
34 |
+
"/home/matt/hf/sqllama-V0/.venv/lib/python3.7/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: /opt/conda did not contain libcudart.so as expected! Searching further paths...\n",
|
35 |
+
" warn(msg)\n",
|
36 |
+
"The tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization. \n",
|
37 |
+
"The tokenizer class you load from this checkpoint is 'LLaMATokenizer'. \n",
|
38 |
+
"The class this function is called from is 'LlamaTokenizer'.\n"
|
39 |
+
]
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"name": "stdout",
|
43 |
+
"output_type": "stream",
|
44 |
+
"text": [
|
45 |
+
"\n",
|
46 |
+
"===================================BUG REPORT===================================\n",
|
47 |
+
"Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues\n",
|
48 |
+
"================================================================================\n",
|
49 |
+
"CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so\n",
|
50 |
+
"CUDA SETUP: Highest compute capability among GPUs detected: 7.5\n",
|
51 |
+
"CUDA SETUP: Detected CUDA version 113\n",
|
52 |
+
"CUDA SETUP: Loading binary /home/matt/hf/sqllama-V0/.venv/lib/python3.7/site-packages/bitsandbytes/libbitsandbytes_cuda113.so...\n",
|
53 |
+
"PeftConfig(peft_type='LORA', base_model_name_or_path='decapoda-research/llama-7b-hf', task_type='CASUAL_LM', inference_mode=True)\n"
|
54 |
+
]
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"data": {
|
58 |
+
"application/vnd.jupyter.widget-view+json": {
|
59 |
+
"model_id": "4581e257066e463d9638f5d3a407a70e",
|
60 |
+
"version_major": 2,
|
61 |
+
"version_minor": 0
|
62 |
+
},
|
63 |
+
"text/plain": [
|
64 |
+
"Loading checkpoint shards: 0%| | 0/33 [00:00<?, ?it/s]"
|
65 |
+
]
|
66 |
+
},
|
67 |
+
"metadata": {},
|
68 |
+
"output_type": "display_data"
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"source": [
|
72 |
+
"from transformers import LlamaTokenizer, LlamaForCausalLM\n",
|
73 |
+
"from peft import get_peft_model, PeftConfig, PeftModel\n",
|
74 |
+
"\n",
|
75 |
+
"loc = 'sqllama-out3'\n",
|
76 |
+
"\n",
|
77 |
+
"config = PeftConfig.from_pretrained(loc)\n",
|
78 |
+
"print(config)\n",
|
79 |
+
"\n",
|
80 |
+
"\n",
|
81 |
+
"tokenizer = LlamaTokenizer.from_pretrained(\n",
|
82 |
+
" \"decapoda-research/llama-7b-hf\")\n",
|
83 |
+
" \n",
|
84 |
+
"tokenizer.pad_token_id = 0\n",
|
85 |
+
"tokenizer.padding_side = 'left'\n",
|
86 |
+
"\n",
|
87 |
+
"model = LlamaForCausalLM.from_pretrained(\n",
|
88 |
+
" \"decapoda-research/llama-7b-hf\",\n",
|
89 |
+
" load_in_8bit=True,\n",
|
90 |
+
" device_map=\"auto\",\n",
|
91 |
+
" torch_dtype=torch.float16\n",
|
92 |
+
")\n",
|
93 |
+
"\n",
|
94 |
+
"model = PeftModel.from_pretrained(\n",
|
95 |
+
" model, loc,\n",
|
96 |
+
" torch_dtype=torch.float16,\n",
|
97 |
+
" device_map=\"auto\"\n",
|
98 |
+
" )\n",
|
99 |
+
"\n",
|
100 |
+
"#model.push_to_hub('LlamaSQL-3')\n",
|
101 |
+
"\n",
|
102 |
+
"#model = prepare_model_for_int8_training(model)\n",
|
103 |
+
"\n",
|
104 |
+
"#model = get_peft_model(model,config)"
|
105 |
+
]
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"cell_type": "code",
|
109 |
+
"execution_count": 4,
|
110 |
+
"metadata": {},
|
111 |
+
"outputs": [
|
112 |
+
{
|
113 |
+
"name": "stdout",
|
114 |
+
"output_type": "stream",
|
115 |
+
"text": [
|
116 |
+
"\n",
|
117 |
+
"table: 1-20246201-9\n",
|
118 |
+
"columns: Candidate,Office,Home state,Popular vote,States – first place,States – second place,States – third place\n",
|
119 |
+
"Q: How many states-first place are there for the office of Governor?\n",
|
120 |
+
"A: SELECT COUNT States – first place FROM 1-20246201-9 WHERE Office = 'Governor'\n",
|
121 |
+
"END\n",
|
122 |
+
"\n",
|
123 |
+
"\n",
|
124 |
+
"table: 2-17429402-7\n",
|
125 |
+
"columns: School,Years of Participation,OCC Championships,Last OCC Championship,Last Outright OCC Championship\n",
|
126 |
+
"Q: How many times have Central Crossing won the OCC Championship?\n",
|
127 |
+
"A: SELECT SUM OCC Championships FROM 2-17429402-7 WHERE School = 'central crossing'\n",
|
128 |
+
"END\n",
|
129 |
+
"\n",
|
130 |
+
"\n",
|
131 |
+
"table: 1-11677691-10\n",
|
132 |
+
"columns: Player,Position,School,Hometown,College\n",
|
133 |
+
"Q: What town is Muscle Shoals High School located in?\n",
|
134 |
+
"A: SELECT Hometown FROM 1-11677691-10 WHERE School = 'Muscle Shoals High School'\n",
|
135 |
+
"END\n",
|
136 |
+
"\n",
|
137 |
+
"\n",
|
138 |
+
"table: 2-10701914-2\n",
|
139 |
+
"columns: Home team,Home team score,Away team,Away team score,Venue,Crowd,Date\n",
|
140 |
+
"Q: What is the largest crowd when st kilda was the away team?\n",
|
141 |
+
"A: SELECT MAX Crowd FROM 2-10701914-2 WHERE Away team = 'st kilda'\n",
|
142 |
+
"END\n",
|
143 |
+
"\n",
|
144 |
+
"\n",
|
145 |
+
"table: 2-1122152-1\n",
|
146 |
+
"columns: Driver,Constructor,Laps,Time/Retired,Grid\n",
|
147 |
+
"Q: What is the lap total for the grid under 15 that retired due to transmission?\n",
|
148 |
+
"A: SELECT SUM Laps FROM 2-1122152-1 WHERE Grid < 15 AND Time/Retired = 'transmission'\n",
|
149 |
+
"END\n",
|
150 |
+
"\n"
|
151 |
+
]
|
152 |
+
}
|
153 |
+
],
|
154 |
+
"source": [
|
155 |
+
"import random\n",
|
156 |
+
"import json\n",
|
157 |
+
"\n",
|
158 |
+
"# defined by WikiSQL\n",
|
159 |
+
"\n",
|
160 |
+
"agg_ops = ['', 'MAX', 'MIN', 'COUNT', 'SUM', 'AVG']\n",
|
161 |
+
"cond_ops = ['=', '>', '<', 'OP']\n",
|
162 |
+
"syms = ['SELECT', 'WHERE', 'AND', 'COL', 'TABLE', 'CAPTION', 'PAGE', 'SECTION', 'OP', 'COND', 'QUESTION', 'AGG', 'AGGOPS', 'CONDOPS']\n",
|
163 |
+
"\n",
|
164 |
+
"def fix_repr(d,cols,types,tid):\n",
|
165 |
+
" sel_index=d['sel'] \n",
|
166 |
+
" agg_index=d['agg']\n",
|
167 |
+
" conditions=d['conds']\n",
|
168 |
+
" col = cols[sel_index]\n",
|
169 |
+
" rep = 'SELECT {agg} {sel} FROM {tid}'.format(\n",
|
170 |
+
" agg=agg_ops[agg_index],\n",
|
171 |
+
" sel=col,\n",
|
172 |
+
" tid=tid\n",
|
173 |
+
" )\n",
|
174 |
+
" if conditions:\n",
|
175 |
+
" cs = []\n",
|
176 |
+
" for i, o, v in conditions:\n",
|
177 |
+
" #print(i,cols)\n",
|
178 |
+
" nm = cols[i]\n",
|
179 |
+
" op = cond_ops[o]\n",
|
180 |
+
" \n",
|
181 |
+
" if types[i] in ['text']:\n",
|
182 |
+
" val = f\"\\'{v}\\'\"\n",
|
183 |
+
" else:\n",
|
184 |
+
" val = v\n",
|
185 |
+
" cs.append(f'{nm} {op} {val}')\n",
|
186 |
+
" #print(cs)\n",
|
187 |
+
"\n",
|
188 |
+
" rep += ' WHERE ' + ' AND '.join(cs)\n",
|
189 |
+
" \n",
|
190 |
+
" return rep\n",
|
191 |
+
"\n",
|
192 |
+
"tbl_cols = {}\n",
|
193 |
+
"tbl_types = {}\n",
|
194 |
+
"tbl_str = {}\n",
|
195 |
+
"\n",
|
196 |
+
"prefix = 'Below is a question that describes a data request, paired with an input that describes a SQL table. Write a SQL query that retrieves the data.'\n",
|
197 |
+
"\n",
|
198 |
+
"def tbl_def_to_string(id, header, types):\n",
|
199 |
+
" s = f'table: {id}\\ncolumns: ' + ','.join(header)\n",
|
200 |
+
" return s\n",
|
201 |
+
"\n",
|
202 |
+
"with open('data/train.tables.jsonl') as f:\n",
|
203 |
+
" for line in f:\n",
|
204 |
+
" js = json.loads(line)\n",
|
205 |
+
" id = js['id']\n",
|
206 |
+
" hdr = js['header']\n",
|
207 |
+
" ts = js['types']\n",
|
208 |
+
" tbl_str[id] = tbl_def_to_string(id,hdr,ts)\n",
|
209 |
+
" tbl_cols[id] = hdr\n",
|
210 |
+
" tbl_types[id] = ts\n",
|
211 |
+
"\n",
|
212 |
+
"q_s = []\n",
|
213 |
+
"a_s = []\n",
|
214 |
+
"\n",
|
215 |
+
"with open('data/train.jsonl') as f:\n",
|
216 |
+
" for line in f:\n",
|
217 |
+
" js = json.loads(line)\n",
|
218 |
+
" id = js['table_id']\n",
|
219 |
+
" s = tbl_str[id]\n",
|
220 |
+
" qst = js['question']\n",
|
221 |
+
" nl = s + '\\nQ: ' + qst + '\\nA: '\n",
|
222 |
+
" q_s.append(nl)\n",
|
223 |
+
"\n",
|
224 |
+
" sql = js['sql']\n",
|
225 |
+
" a = fix_repr(sql,tbl_cols[id],tbl_types[id],id)\n",
|
226 |
+
" a = a + \"\\nEND\\n\"\n",
|
227 |
+
" a_s.append(a)\n",
|
228 |
+
"\n",
|
229 |
+
"M = len(q_s)\n",
|
230 |
+
"\n",
|
231 |
+
"data_txt = [q_s[i] + a_s[i] for i in range(M)]\n",
|
232 |
+
"\n",
|
233 |
+
"for i in range(5):\n",
|
234 |
+
" j = random.randint(0,M-1)\n",
|
235 |
+
" print()\n",
|
236 |
+
" print(data_txt[j]) \n",
|
237 |
+
" \n",
|
238 |
+
" "
|
239 |
+
]
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"cell_type": "code",
|
243 |
+
"execution_count": 5,
|
244 |
+
"metadata": {},
|
245 |
+
"outputs": [],
|
246 |
+
"source": [
|
247 |
+
"toks = [tokenizer(s) for s in data_txt]\n"
|
248 |
+
]
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"cell_type": "code",
|
252 |
+
"execution_count": 6,
|
253 |
+
"metadata": {},
|
254 |
+
"outputs": [
|
255 |
+
{
|
256 |
+
"name": "stdout",
|
257 |
+
"output_type": "stream",
|
258 |
+
"text": [
|
259 |
+
"92\n",
|
260 |
+
" 0\n",
|
261 |
+
"count 56355.000000\n",
|
262 |
+
"mean 101.219519\n",
|
263 |
+
"std 21.740325\n",
|
264 |
+
"min 63.000000\n",
|
265 |
+
"25% 87.500000\n",
|
266 |
+
"50% 97.000000\n",
|
267 |
+
"75% 109.000000\n",
|
268 |
+
"max 461.000000\n",
|
269 |
+
"32084\n"
|
270 |
+
]
|
271 |
+
}
|
272 |
+
],
|
273 |
+
"source": [
|
274 |
+
"import numpy as np\n",
|
275 |
+
"import pandas as pd\n",
|
276 |
+
"\n",
|
277 |
+
"print(len(toks[0].input_ids))\n",
|
278 |
+
"lens = np.array([len(tok.input_ids) for tok in toks])\n",
|
279 |
+
"print(pd.DataFrame(lens).describe())\n",
|
280 |
+
"\n",
|
281 |
+
"z = zip(q_s,lens)\n",
|
282 |
+
"q_red = [a for a,b in z if b < 100]\n",
|
283 |
+
"z = zip(a_s,lens)\n",
|
284 |
+
"a_red = [a for a,b in z if b < 100]\n",
|
285 |
+
"\n",
|
286 |
+
"data_red = [q_red[i] + a_red[i] for i in range(len(q_red))]\n",
|
287 |
+
"print(len(data_red))\n",
|
288 |
+
"\n"
|
289 |
+
]
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"cell_type": "code",
|
293 |
+
"execution_count": 7,
|
294 |
+
"metadata": {},
|
295 |
+
"outputs": [
|
296 |
+
{
|
297 |
+
"data": {
|
298 |
+
"application/vnd.jupyter.widget-view+json": {
|
299 |
+
"model_id": "3215cace7aef45b1b040a12f11509a7d",
|
300 |
+
"version_major": 2,
|
301 |
+
"version_minor": 0
|
302 |
+
},
|
303 |
+
"text/plain": [
|
304 |
+
"Map: 0%| | 0/32084 [00:00<?, ? examples/s]"
|
305 |
+
]
|
306 |
+
},
|
307 |
+
"metadata": {},
|
308 |
+
"output_type": "display_data"
|
309 |
+
}
|
310 |
+
],
|
311 |
+
"source": [
|
312 |
+
"import random, datasets\n",
|
313 |
+
"#d = {'prompt': random.sample(data_red, 1000)}\n",
|
314 |
+
"d = {'prompt': data_red}\n",
|
315 |
+
"\n",
|
316 |
+
"data = datasets.Dataset.from_dict(d)\n",
|
317 |
+
"data = data.map(lambda x:\n",
|
318 |
+
" tokenizer(\n",
|
319 |
+
" x['prompt'],\n",
|
320 |
+
" truncation=True,\n",
|
321 |
+
" max_length=100,\n",
|
322 |
+
" padding=\"max_length\"\n",
|
323 |
+
" ))\n",
|
324 |
+
"\n",
|
325 |
+
"data = data.remove_columns('prompt')\n"
|
326 |
+
]
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"cell_type": "code",
|
330 |
+
"execution_count": 8,
|
331 |
+
"metadata": {},
|
332 |
+
"outputs": [],
|
333 |
+
"source": [
|
334 |
+
"#from peft import get_peft_model,PrefixTuningConfig, TaskType, PeftType\n",
|
335 |
+
"from peft import get_peft_config, get_peft_model, PromptTuningInit, PromptTuningConfig, TaskType, PeftType\n",
|
336 |
+
"import torch\n",
|
337 |
+
"import transformers\n",
|
338 |
+
"import datasets\n",
|
339 |
+
"\n",
|
340 |
+
"BATCH = 128\n",
|
341 |
+
"MICRO_BATCH = 4\n",
|
342 |
+
"N_GAS = BATCH//MICRO_BATCH\n",
|
343 |
+
"EPOCHS = 1\n",
|
344 |
+
"LR = 1e-6\n",
|
345 |
+
"\n",
|
346 |
+
"#peft_cfg = PrefixTuningConfig(task_type=TaskType.CAUSAL_LM, num_virtual_tokens=30)\n",
|
347 |
+
"#model = get_peft_model(model,peft_config)\n",
|
348 |
+
"#model = model.to(torch.device('cuda'))\n",
|
349 |
+
"\n",
|
350 |
+
"targs = transformers.TrainingArguments(\n",
|
351 |
+
" per_device_train_batch_size=MICRO_BATCH,\n",
|
352 |
+
" gradient_accumulation_steps=N_GAS,\n",
|
353 |
+
" warmup_steps=20,\n",
|
354 |
+
" num_train_epochs=EPOCHS,\n",
|
355 |
+
" learning_rate=LR,\n",
|
356 |
+
" fp16=True,\n",
|
357 |
+
" logging_steps=1,\n",
|
358 |
+
" output_dir='sqllama-out3-rt',\n",
|
359 |
+
" save_total_limit=3,\n",
|
360 |
+
" remove_unused_columns=False,\n",
|
361 |
+
" \n",
|
362 |
+
")\n"
|
363 |
+
]
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"cell_type": "code",
|
367 |
+
"execution_count": 9,
|
368 |
+
"metadata": {},
|
369 |
+
"outputs": [
|
370 |
+
{
|
371 |
+
"data": {
|
372 |
+
"text/html": [
|
373 |
+
"\n",
|
374 |
+
" <div>\n",
|
375 |
+
" \n",
|
376 |
+
" <progress value='250' max='250' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
|
377 |
+
" [250/250 3:05:44, Epoch 0/1]\n",
|
378 |
+
" </div>\n",
|
379 |
+
" <table border=\"1\" class=\"dataframe\">\n",
|
380 |
+
" <thead>\n",
|
381 |
+
" <tr style=\"text-align: left;\">\n",
|
382 |
+
" <th>Step</th>\n",
|
383 |
+
" <th>Training Loss</th>\n",
|
384 |
+
" </tr>\n",
|
385 |
+
" </thead>\n",
|
386 |
+
" <tbody>\n",
|
387 |
+
" <tr>\n",
|
388 |
+
" <td>1</td>\n",
|
389 |
+
" <td>1.121900</td>\n",
|
390 |
+
" </tr>\n",
|
391 |
+
" <tr>\n",
|
392 |
+
" <td>2</td>\n",
|
393 |
+
" <td>1.103000</td>\n",
|
394 |
+
" </tr>\n",
|
395 |
+
" <tr>\n",
|
396 |
+
" <td>3</td>\n",
|
397 |
+
" <td>1.128600</td>\n",
|
398 |
+
" </tr>\n",
|
399 |
+
" <tr>\n",
|
400 |
+
" <td>4</td>\n",
|
401 |
+
" <td>1.098400</td>\n",
|
402 |
+
" </tr>\n",
|
403 |
+
" <tr>\n",
|
404 |
+
" <td>5</td>\n",
|
405 |
+
" <td>1.094800</td>\n",
|
406 |
+
" </tr>\n",
|
407 |
+
" <tr>\n",
|
408 |
+
" <td>6</td>\n",
|
409 |
+
" <td>1.135100</td>\n",
|
410 |
+
" </tr>\n",
|
411 |
+
" <tr>\n",
|
412 |
+
" <td>7</td>\n",
|
413 |
+
" <td>1.114100</td>\n",
|
414 |
+
" </tr>\n",
|
415 |
+
" <tr>\n",
|
416 |
+
" <td>8</td>\n",
|
417 |
+
" <td>1.125100</td>\n",
|
418 |
+
" </tr>\n",
|
419 |
+
" <tr>\n",
|
420 |
+
" <td>9</td>\n",
|
421 |
+
" <td>1.122000</td>\n",
|
422 |
+
" </tr>\n",
|
423 |
+
" <tr>\n",
|
424 |
+
" <td>10</td>\n",
|
425 |
+
" <td>1.138500</td>\n",
|
426 |
+
" </tr>\n",
|
427 |
+
" <tr>\n",
|
428 |
+
" <td>11</td>\n",
|
429 |
+
" <td>1.114100</td>\n",
|
430 |
+
" </tr>\n",
|
431 |
+
" <tr>\n",
|
432 |
+
" <td>12</td>\n",
|
433 |
+
" <td>1.124700</td>\n",
|
434 |
+
" </tr>\n",
|
435 |
+
" <tr>\n",
|
436 |
+
" <td>13</td>\n",
|
437 |
+
" <td>1.133100</td>\n",
|
438 |
+
" </tr>\n",
|
439 |
+
" <tr>\n",
|
440 |
+
" <td>14</td>\n",
|
441 |
+
" <td>1.118900</td>\n",
|
442 |
+
" </tr>\n",
|
443 |
+
" <tr>\n",
|
444 |
+
" <td>15</td>\n",
|
445 |
+
" <td>1.121700</td>\n",
|
446 |
+
" </tr>\n",
|
447 |
+
" <tr>\n",
|
448 |
+
" <td>16</td>\n",
|
449 |
+
" <td>1.131600</td>\n",
|
450 |
+
" </tr>\n",
|
451 |
+
" <tr>\n",
|
452 |
+
" <td>17</td>\n",
|
453 |
+
" <td>1.137700</td>\n",
|
454 |
+
" </tr>\n",
|
455 |
+
" <tr>\n",
|
456 |
+
" <td>18</td>\n",
|
457 |
+
" <td>1.147000</td>\n",
|
458 |
+
" </tr>\n",
|
459 |
+
" <tr>\n",
|
460 |
+
" <td>19</td>\n",
|
461 |
+
" <td>1.113200</td>\n",
|
462 |
+
" </tr>\n",
|
463 |
+
" <tr>\n",
|
464 |
+
" <td>20</td>\n",
|
465 |
+
" <td>1.158000</td>\n",
|
466 |
+
" </tr>\n",
|
467 |
+
" <tr>\n",
|
468 |
+
" <td>21</td>\n",
|
469 |
+
" <td>1.114100</td>\n",
|
470 |
+
" </tr>\n",
|
471 |
+
" <tr>\n",
|
472 |
+
" <td>22</td>\n",
|
473 |
+
" <td>1.117700</td>\n",
|
474 |
+
" </tr>\n",
|
475 |
+
" <tr>\n",
|
476 |
+
" <td>23</td>\n",
|
477 |
+
" <td>1.151200</td>\n",
|
478 |
+
" </tr>\n",
|
479 |
+
" <tr>\n",
|
480 |
+
" <td>24</td>\n",
|
481 |
+
" <td>1.154200</td>\n",
|
482 |
+
" </tr>\n",
|
483 |
+
" <tr>\n",
|
484 |
+
" <td>25</td>\n",
|
485 |
+
" <td>1.153600</td>\n",
|
486 |
+
" </tr>\n",
|
487 |
+
" <tr>\n",
|
488 |
+
" <td>26</td>\n",
|
489 |
+
" <td>1.119700</td>\n",
|
490 |
+
" </tr>\n",
|
491 |
+
" <tr>\n",
|
492 |
+
" <td>27</td>\n",
|
493 |
+
" <td>1.138500</td>\n",
|
494 |
+
" </tr>\n",
|
495 |
+
" <tr>\n",
|
496 |
+
" <td>28</td>\n",
|
497 |
+
" <td>1.148200</td>\n",
|
498 |
+
" </tr>\n",
|
499 |
+
" <tr>\n",
|
500 |
+
" <td>29</td>\n",
|
501 |
+
" <td>1.103300</td>\n",
|
502 |
+
" </tr>\n",
|
503 |
+
" <tr>\n",
|
504 |
+
" <td>30</td>\n",
|
505 |
+
" <td>1.117700</td>\n",
|
506 |
+
" </tr>\n",
|
507 |
+
" <tr>\n",
|
508 |
+
" <td>31</td>\n",
|
509 |
+
" <td>1.116300</td>\n",
|
510 |
+
" </tr>\n",
|
511 |
+
" <tr>\n",
|
512 |
+
" <td>32</td>\n",
|
513 |
+
" <td>1.134400</td>\n",
|
514 |
+
" </tr>\n",
|
515 |
+
" <tr>\n",
|
516 |
+
" <td>33</td>\n",
|
517 |
+
" <td>1.125200</td>\n",
|
518 |
+
" </tr>\n",
|
519 |
+
" <tr>\n",
|
520 |
+
" <td>34</td>\n",
|
521 |
+
" <td>1.137900</td>\n",
|
522 |
+
" </tr>\n",
|
523 |
+
" <tr>\n",
|
524 |
+
" <td>35</td>\n",
|
525 |
+
" <td>1.150100</td>\n",
|
526 |
+
" </tr>\n",
|
527 |
+
" <tr>\n",
|
528 |
+
" <td>36</td>\n",
|
529 |
+
" <td>1.126200</td>\n",
|
530 |
+
" </tr>\n",
|
531 |
+
" <tr>\n",
|
532 |
+
" <td>37</td>\n",
|
533 |
+
" <td>1.129100</td>\n",
|
534 |
+
" </tr>\n",
|
535 |
+
" <tr>\n",
|
536 |
+
" <td>38</td>\n",
|
537 |
+
" <td>1.093200</td>\n",
|
538 |
+
" </tr>\n",
|
539 |
+
" <tr>\n",
|
540 |
+
" <td>39</td>\n",
|
541 |
+
" <td>1.153100</td>\n",
|
542 |
+
" </tr>\n",
|
543 |
+
" <tr>\n",
|
544 |
+
" <td>40</td>\n",
|
545 |
+
" <td>1.108000</td>\n",
|
546 |
+
" </tr>\n",
|
547 |
+
" <tr>\n",
|
548 |
+
" <td>41</td>\n",
|
549 |
+
" <td>1.137300</td>\n",
|
550 |
+
" </tr>\n",
|
551 |
+
" <tr>\n",
|
552 |
+
" <td>42</td>\n",
|
553 |
+
" <td>1.101600</td>\n",
|
554 |
+
" </tr>\n",
|
555 |
+
" <tr>\n",
|
556 |
+
" <td>43</td>\n",
|
557 |
+
" <td>1.140600</td>\n",
|
558 |
+
" </tr>\n",
|
559 |
+
" <tr>\n",
|
560 |
+
" <td>44</td>\n",
|
561 |
+
" <td>1.159900</td>\n",
|
562 |
+
" </tr>\n",
|
563 |
+
" <tr>\n",
|
564 |
+
" <td>45</td>\n",
|
565 |
+
" <td>1.112600</td>\n",
|
566 |
+
" </tr>\n",
|
567 |
+
" <tr>\n",
|
568 |
+
" <td>46</td>\n",
|
569 |
+
" <td>1.101200</td>\n",
|
570 |
+
" </tr>\n",
|
571 |
+
" <tr>\n",
|
572 |
+
" <td>47</td>\n",
|
573 |
+
" <td>1.088000</td>\n",
|
574 |
+
" </tr>\n",
|
575 |
+
" <tr>\n",
|
576 |
+
" <td>48</td>\n",
|
577 |
+
" <td>1.135300</td>\n",
|
578 |
+
" </tr>\n",
|
579 |
+
" <tr>\n",
|
580 |
+
" <td>49</td>\n",
|
581 |
+
" <td>1.118100</td>\n",
|
582 |
+
" </tr>\n",
|
583 |
+
" <tr>\n",
|
584 |
+
" <td>50</td>\n",
|
585 |
+
" <td>1.140300</td>\n",
|
586 |
+
" </tr>\n",
|
587 |
+
" <tr>\n",
|
588 |
+
" <td>51</td>\n",
|
589 |
+
" <td>1.104000</td>\n",
|
590 |
+
" </tr>\n",
|
591 |
+
" <tr>\n",
|
592 |
+
" <td>52</td>\n",
|
593 |
+
" <td>1.122900</td>\n",
|
594 |
+
" </tr>\n",
|
595 |
+
" <tr>\n",
|
596 |
+
" <td>53</td>\n",
|
597 |
+
" <td>1.162200</td>\n",
|
598 |
+
" </tr>\n",
|
599 |
+
" <tr>\n",
|
600 |
+
" <td>54</td>\n",
|
601 |
+
" <td>1.108500</td>\n",
|
602 |
+
" </tr>\n",
|
603 |
+
" <tr>\n",
|
604 |
+
" <td>55</td>\n",
|
605 |
+
" <td>1.121900</td>\n",
|
606 |
+
" </tr>\n",
|
607 |
+
" <tr>\n",
|
608 |
+
" <td>56</td>\n",
|
609 |
+
" <td>1.092100</td>\n",
|
610 |
+
" </tr>\n",
|
611 |
+
" <tr>\n",
|
612 |
+
" <td>57</td>\n",
|
613 |
+
" <td>1.109500</td>\n",
|
614 |
+
" </tr>\n",
|
615 |
+
" <tr>\n",
|
616 |
+
" <td>58</td>\n",
|
617 |
+
" <td>1.139400</td>\n",
|
618 |
+
" </tr>\n",
|
619 |
+
" <tr>\n",
|
620 |
+
" <td>59</td>\n",
|
621 |
+
" <td>1.120800</td>\n",
|
622 |
+
" </tr>\n",
|
623 |
+
" <tr>\n",
|
624 |
+
" <td>60</td>\n",
|
625 |
+
" <td>1.132200</td>\n",
|
626 |
+
" </tr>\n",
|
627 |
+
" <tr>\n",
|
628 |
+
" <td>61</td>\n",
|
629 |
+
" <td>1.138700</td>\n",
|
630 |
+
" </tr>\n",
|
631 |
+
" <tr>\n",
|
632 |
+
" <td>62</td>\n",
|
633 |
+
" <td>1.128700</td>\n",
|
634 |
+
" </tr>\n",
|
635 |
+
" <tr>\n",
|
636 |
+
" <td>63</td>\n",
|
637 |
+
" <td>1.122500</td>\n",
|
638 |
+
" </tr>\n",
|
639 |
+
" <tr>\n",
|
640 |
+
" <td>64</td>\n",
|
641 |
+
" <td>1.145800</td>\n",
|
642 |
+
" </tr>\n",
|
643 |
+
" <tr>\n",
|
644 |
+
" <td>65</td>\n",
|
645 |
+
" <td>1.135000</td>\n",
|
646 |
+
" </tr>\n",
|
647 |
+
" <tr>\n",
|
648 |
+
" <td>66</td>\n",
|
649 |
+
" <td>1.107900</td>\n",
|
650 |
+
" </tr>\n",
|
651 |
+
" <tr>\n",
|
652 |
+
" <td>67</td>\n",
|
653 |
+
" <td>1.120700</td>\n",
|
654 |
+
" </tr>\n",
|
655 |
+
" <tr>\n",
|
656 |
+
" <td>68</td>\n",
|
657 |
+
" <td>1.128000</td>\n",
|
658 |
+
" </tr>\n",
|
659 |
+
" <tr>\n",
|
660 |
+
" <td>69</td>\n",
|
661 |
+
" <td>1.107600</td>\n",
|
662 |
+
" </tr>\n",
|
663 |
+
" <tr>\n",
|
664 |
+
" <td>70</td>\n",
|
665 |
+
" <td>1.155700</td>\n",
|
666 |
+
" </tr>\n",
|
667 |
+
" <tr>\n",
|
668 |
+
" <td>71</td>\n",
|
669 |
+
" <td>1.142400</td>\n",
|
670 |
+
" </tr>\n",
|
671 |
+
" <tr>\n",
|
672 |
+
" <td>72</td>\n",
|
673 |
+
" <td>1.118900</td>\n",
|
674 |
+
" </tr>\n",
|
675 |
+
" <tr>\n",
|
676 |
+
" <td>73</td>\n",
|
677 |
+
" <td>1.129900</td>\n",
|
678 |
+
" </tr>\n",
|
679 |
+
" <tr>\n",
|
680 |
+
" <td>74</td>\n",
|
681 |
+
" <td>1.134400</td>\n",
|
682 |
+
" </tr>\n",
|
683 |
+
" <tr>\n",
|
684 |
+
" <td>75</td>\n",
|
685 |
+
" <td>1.105500</td>\n",
|
686 |
+
" </tr>\n",
|
687 |
+
" <tr>\n",
|
688 |
+
" <td>76</td>\n",
|
689 |
+
" <td>1.104100</td>\n",
|
690 |
+
" </tr>\n",
|
691 |
+
" <tr>\n",
|
692 |
+
" <td>77</td>\n",
|
693 |
+
" <td>1.100900</td>\n",
|
694 |
+
" </tr>\n",
|
695 |
+
" <tr>\n",
|
696 |
+
" <td>78</td>\n",
|
697 |
+
" <td>1.148200</td>\n",
|
698 |
+
" </tr>\n",
|
699 |
+
" <tr>\n",
|
700 |
+
" <td>79</td>\n",
|
701 |
+
" <td>1.116100</td>\n",
|
702 |
+
" </tr>\n",
|
703 |
+
" <tr>\n",
|
704 |
+
" <td>80</td>\n",
|
705 |
+
" <td>1.121700</td>\n",
|
706 |
+
" </tr>\n",
|
707 |
+
" <tr>\n",
|
708 |
+
" <td>81</td>\n",
|
709 |
+
" <td>1.154100</td>\n",
|
710 |
+
" </tr>\n",
|
711 |
+
" <tr>\n",
|
712 |
+
" <td>82</td>\n",
|
713 |
+
" <td>1.118900</td>\n",
|
714 |
+
" </tr>\n",
|
715 |
+
" <tr>\n",
|
716 |
+
" <td>83</td>\n",
|
717 |
+
" <td>1.109600</td>\n",
|
718 |
+
" </tr>\n",
|
719 |
+
" <tr>\n",
|
720 |
+
" <td>84</td>\n",
|
721 |
+
" <td>1.109300</td>\n",
|
722 |
+
" </tr>\n",
|
723 |
+
" <tr>\n",
|
724 |
+
" <td>85</td>\n",
|
725 |
+
" <td>1.147900</td>\n",
|
726 |
+
" </tr>\n",
|
727 |
+
" <tr>\n",
|
728 |
+
" <td>86</td>\n",
|
729 |
+
" <td>1.094300</td>\n",
|
730 |
+
" </tr>\n",
|
731 |
+
" <tr>\n",
|
732 |
+
" <td>87</td>\n",
|
733 |
+
" <td>1.130000</td>\n",
|
734 |
+
" </tr>\n",
|
735 |
+
" <tr>\n",
|
736 |
+
" <td>88</td>\n",
|
737 |
+
" <td>1.095100</td>\n",
|
738 |
+
" </tr>\n",
|
739 |
+
" <tr>\n",
|
740 |
+
" <td>89</td>\n",
|
741 |
+
" <td>1.145900</td>\n",
|
742 |
+
" </tr>\n",
|
743 |
+
" <tr>\n",
|
744 |
+
" <td>90</td>\n",
|
745 |
+
" <td>1.131600</td>\n",
|
746 |
+
" </tr>\n",
|
747 |
+
" <tr>\n",
|
748 |
+
" <td>91</td>\n",
|
749 |
+
" <td>1.114200</td>\n",
|
750 |
+
" </tr>\n",
|
751 |
+
" <tr>\n",
|
752 |
+
" <td>92</td>\n",
|
753 |
+
" <td>1.126600</td>\n",
|
754 |
+
" </tr>\n",
|
755 |
+
" <tr>\n",
|
756 |
+
" <td>93</td>\n",
|
757 |
+
" <td>1.100300</td>\n",
|
758 |
+
" </tr>\n",
|
759 |
+
" <tr>\n",
|
760 |
+
" <td>94</td>\n",
|
761 |
+
" <td>1.140900</td>\n",
|
762 |
+
" </tr>\n",
|
763 |
+
" <tr>\n",
|
764 |
+
" <td>95</td>\n",
|
765 |
+
" <td>1.132800</td>\n",
|
766 |
+
" </tr>\n",
|
767 |
+
" <tr>\n",
|
768 |
+
" <td>96</td>\n",
|
769 |
+
" <td>1.105900</td>\n",
|
770 |
+
" </tr>\n",
|
771 |
+
" <tr>\n",
|
772 |
+
" <td>97</td>\n",
|
773 |
+
" <td>1.106200</td>\n",
|
774 |
+
" </tr>\n",
|
775 |
+
" <tr>\n",
|
776 |
+
" <td>98</td>\n",
|
777 |
+
" <td>1.097400</td>\n",
|
778 |
+
" </tr>\n",
|
779 |
+
" <tr>\n",
|
780 |
+
" <td>99</td>\n",
|
781 |
+
" <td>1.114500</td>\n",
|
782 |
+
" </tr>\n",
|
783 |
+
" <tr>\n",
|
784 |
+
" <td>100</td>\n",
|
785 |
+
" <td>1.113700</td>\n",
|
786 |
+
" </tr>\n",
|
787 |
+
" <tr>\n",
|
788 |
+
" <td>101</td>\n",
|
789 |
+
" <td>1.093300</td>\n",
|
790 |
+
" </tr>\n",
|
791 |
+
" <tr>\n",
|
792 |
+
" <td>102</td>\n",
|
793 |
+
" <td>1.121900</td>\n",
|
794 |
+
" </tr>\n",
|
795 |
+
" <tr>\n",
|
796 |
+
" <td>103</td>\n",
|
797 |
+
" <td>1.133600</td>\n",
|
798 |
+
" </tr>\n",
|
799 |
+
" <tr>\n",
|
800 |
+
" <td>104</td>\n",
|
801 |
+
" <td>1.131500</td>\n",
|
802 |
+
" </tr>\n",
|
803 |
+
" <tr>\n",
|
804 |
+
" <td>105</td>\n",
|
805 |
+
" <td>1.136800</td>\n",
|
806 |
+
" </tr>\n",
|
807 |
+
" <tr>\n",
|
808 |
+
" <td>106</td>\n",
|
809 |
+
" <td>1.130800</td>\n",
|
810 |
+
" </tr>\n",
|
811 |
+
" <tr>\n",
|
812 |
+
" <td>107</td>\n",
|
813 |
+
" <td>1.102100</td>\n",
|
814 |
+
" </tr>\n",
|
815 |
+
" <tr>\n",
|
816 |
+
" <td>108</td>\n",
|
817 |
+
" <td>1.128300</td>\n",
|
818 |
+
" </tr>\n",
|
819 |
+
" <tr>\n",
|
820 |
+
" <td>109</td>\n",
|
821 |
+
" <td>1.163500</td>\n",
|
822 |
+
" </tr>\n",
|
823 |
+
" <tr>\n",
|
824 |
+
" <td>110</td>\n",
|
825 |
+
" <td>1.144200</td>\n",
|
826 |
+
" </tr>\n",
|
827 |
+
" <tr>\n",
|
828 |
+
" <td>111</td>\n",
|
829 |
+
" <td>1.125600</td>\n",
|
830 |
+
" </tr>\n",
|
831 |
+
" <tr>\n",
|
832 |
+
" <td>112</td>\n",
|
833 |
+
" <td>1.119700</td>\n",
|
834 |
+
" </tr>\n",
|
835 |
+
" <tr>\n",
|
836 |
+
" <td>113</td>\n",
|
837 |
+
" <td>1.111100</td>\n",
|
838 |
+
" </tr>\n",
|
839 |
+
" <tr>\n",
|
840 |
+
" <td>114</td>\n",
|
841 |
+
" <td>1.122400</td>\n",
|
842 |
+
" </tr>\n",
|
843 |
+
" <tr>\n",
|
844 |
+
" <td>115</td>\n",
|
845 |
+
" <td>1.142500</td>\n",
|
846 |
+
" </tr>\n",
|
847 |
+
" <tr>\n",
|
848 |
+
" <td>116</td>\n",
|
849 |
+
" <td>1.124500</td>\n",
|
850 |
+
" </tr>\n",
|
851 |
+
" <tr>\n",
|
852 |
+
" <td>117</td>\n",
|
853 |
+
" <td>1.117700</td>\n",
|
854 |
+
" </tr>\n",
|
855 |
+
" <tr>\n",
|
856 |
+
" <td>118</td>\n",
|
857 |
+
" <td>1.130500</td>\n",
|
858 |
+
" </tr>\n",
|
859 |
+
" <tr>\n",
|
860 |
+
" <td>119</td>\n",
|
861 |
+
" <td>1.118500</td>\n",
|
862 |
+
" </tr>\n",
|
863 |
+
" <tr>\n",
|
864 |
+
" <td>120</td>\n",
|
865 |
+
" <td>1.097200</td>\n",
|
866 |
+
" </tr>\n",
|
867 |
+
" <tr>\n",
|
868 |
+
" <td>121</td>\n",
|
869 |
+
" <td>1.123600</td>\n",
|
870 |
+
" </tr>\n",
|
871 |
+
" <tr>\n",
|
872 |
+
" <td>122</td>\n",
|
873 |
+
" <td>1.135700</td>\n",
|
874 |
+
" </tr>\n",
|
875 |
+
" <tr>\n",
|
876 |
+
" <td>123</td>\n",
|
877 |
+
" <td>1.153400</td>\n",
|
878 |
+
" </tr>\n",
|
879 |
+
" <tr>\n",
|
880 |
+
" <td>124</td>\n",
|
881 |
+
" <td>1.088200</td>\n",
|
882 |
+
" </tr>\n",
|
883 |
+
" <tr>\n",
|
884 |
+
" <td>125</td>\n",
|
885 |
+
" <td>1.123600</td>\n",
|
886 |
+
" </tr>\n",
|
887 |
+
" <tr>\n",
|
888 |
+
" <td>126</td>\n",
|
889 |
+
" <td>1.143000</td>\n",
|
890 |
+
" </tr>\n",
|
891 |
+
" <tr>\n",
|
892 |
+
" <td>127</td>\n",
|
893 |
+
" <td>1.121800</td>\n",
|
894 |
+
" </tr>\n",
|
895 |
+
" <tr>\n",
|
896 |
+
" <td>128</td>\n",
|
897 |
+
" <td>1.091200</td>\n",
|
898 |
+
" </tr>\n",
|
899 |
+
" <tr>\n",
|
900 |
+
" <td>129</td>\n",
|
901 |
+
" <td>1.116700</td>\n",
|
902 |
+
" </tr>\n",
|
903 |
+
" <tr>\n",
|
904 |
+
" <td>130</td>\n",
|
905 |
+
" <td>1.124400</td>\n",
|
906 |
+
" </tr>\n",
|
907 |
+
" <tr>\n",
|
908 |
+
" <td>131</td>\n",
|
909 |
+
" <td>1.139100</td>\n",
|
910 |
+
" </tr>\n",
|
911 |
+
" <tr>\n",
|
912 |
+
" <td>132</td>\n",
|
913 |
+
" <td>1.119400</td>\n",
|
914 |
+
" </tr>\n",
|
915 |
+
" <tr>\n",
|
916 |
+
" <td>133</td>\n",
|
917 |
+
" <td>1.115000</td>\n",
|
918 |
+
" </tr>\n",
|
919 |
+
" <tr>\n",
|
920 |
+
" <td>134</td>\n",
|
921 |
+
" <td>1.133600</td>\n",
|
922 |
+
" </tr>\n",
|
923 |
+
" <tr>\n",
|
924 |
+
" <td>135</td>\n",
|
925 |
+
" <td>1.100900</td>\n",
|
926 |
+
" </tr>\n",
|
927 |
+
" <tr>\n",
|
928 |
+
" <td>136</td>\n",
|
929 |
+
" <td>1.095100</td>\n",
|
930 |
+
" </tr>\n",
|
931 |
+
" <tr>\n",
|
932 |
+
" <td>137</td>\n",
|
933 |
+
" <td>1.142600</td>\n",
|
934 |
+
" </tr>\n",
|
935 |
+
" <tr>\n",
|
936 |
+
" <td>138</td>\n",
|
937 |
+
" <td>1.097300</td>\n",
|
938 |
+
" </tr>\n",
|
939 |
+
" <tr>\n",
|
940 |
+
" <td>139</td>\n",
|
941 |
+
" <td>1.113100</td>\n",
|
942 |
+
" </tr>\n",
|
943 |
+
" <tr>\n",
|
944 |
+
" <td>140</td>\n",
|
945 |
+
" <td>1.150800</td>\n",
|
946 |
+
" </tr>\n",
|
947 |
+
" <tr>\n",
|
948 |
+
" <td>141</td>\n",
|
949 |
+
" <td>1.149600</td>\n",
|
950 |
+
" </tr>\n",
|
951 |
+
" <tr>\n",
|
952 |
+
" <td>142</td>\n",
|
953 |
+
" <td>1.106700</td>\n",
|
954 |
+
" </tr>\n",
|
955 |
+
" <tr>\n",
|
956 |
+
" <td>143</td>\n",
|
957 |
+
" <td>1.086100</td>\n",
|
958 |
+
" </tr>\n",
|
959 |
+
" <tr>\n",
|
960 |
+
" <td>144</td>\n",
|
961 |
+
" <td>1.134200</td>\n",
|
962 |
+
" </tr>\n",
|
963 |
+
" <tr>\n",
|
964 |
+
" <td>145</td>\n",
|
965 |
+
" <td>1.096400</td>\n",
|
966 |
+
" </tr>\n",
|
967 |
+
" <tr>\n",
|
968 |
+
" <td>146</td>\n",
|
969 |
+
" <td>1.099200</td>\n",
|
970 |
+
" </tr>\n",
|
971 |
+
" <tr>\n",
|
972 |
+
" <td>147</td>\n",
|
973 |
+
" <td>1.168300</td>\n",
|
974 |
+
" </tr>\n",
|
975 |
+
" <tr>\n",
|
976 |
+
" <td>148</td>\n",
|
977 |
+
" <td>1.105900</td>\n",
|
978 |
+
" </tr>\n",
|
979 |
+
" <tr>\n",
|
980 |
+
" <td>149</td>\n",
|
981 |
+
" <td>1.119700</td>\n",
|
982 |
+
" </tr>\n",
|
983 |
+
" <tr>\n",
|
984 |
+
" <td>150</td>\n",
|
985 |
+
" <td>1.100200</td>\n",
|
986 |
+
" </tr>\n",
|
987 |
+
" <tr>\n",
|
988 |
+
" <td>151</td>\n",
|
989 |
+
" <td>1.089600</td>\n",
|
990 |
+
" </tr>\n",
|
991 |
+
" <tr>\n",
|
992 |
+
" <td>152</td>\n",
|
993 |
+
" <td>1.128200</td>\n",
|
994 |
+
" </tr>\n",
|
995 |
+
" <tr>\n",
|
996 |
+
" <td>153</td>\n",
|
997 |
+
" <td>1.148300</td>\n",
|
998 |
+
" </tr>\n",
|
999 |
+
" <tr>\n",
|
1000 |
+
" <td>154</td>\n",
|
1001 |
+
" <td>1.119800</td>\n",
|
1002 |
+
" </tr>\n",
|
1003 |
+
" <tr>\n",
|
1004 |
+
" <td>155</td>\n",
|
1005 |
+
" <td>1.102700</td>\n",
|
1006 |
+
" </tr>\n",
|
1007 |
+
" <tr>\n",
|
1008 |
+
" <td>156</td>\n",
|
1009 |
+
" <td>1.107800</td>\n",
|
1010 |
+
" </tr>\n",
|
1011 |
+
" <tr>\n",
|
1012 |
+
" <td>157</td>\n",
|
1013 |
+
" <td>1.113100</td>\n",
|
1014 |
+
" </tr>\n",
|
1015 |
+
" <tr>\n",
|
1016 |
+
" <td>158</td>\n",
|
1017 |
+
" <td>1.156100</td>\n",
|
1018 |
+
" </tr>\n",
|
1019 |
+
" <tr>\n",
|
1020 |
+
" <td>159</td>\n",
|
1021 |
+
" <td>1.091500</td>\n",
|
1022 |
+
" </tr>\n",
|
1023 |
+
" <tr>\n",
|
1024 |
+
" <td>160</td>\n",
|
1025 |
+
" <td>1.118000</td>\n",
|
1026 |
+
" </tr>\n",
|
1027 |
+
" <tr>\n",
|
1028 |
+
" <td>161</td>\n",
|
1029 |
+
" <td>1.145600</td>\n",
|
1030 |
+
" </tr>\n",
|
1031 |
+
" <tr>\n",
|
1032 |
+
" <td>162</td>\n",
|
1033 |
+
" <td>1.115400</td>\n",
|
1034 |
+
" </tr>\n",
|
1035 |
+
" <tr>\n",
|
1036 |
+
" <td>163</td>\n",
|
1037 |
+
" <td>1.121900</td>\n",
|
1038 |
+
" </tr>\n",
|
1039 |
+
" <tr>\n",
|
1040 |
+
" <td>164</td>\n",
|
1041 |
+
" <td>1.130100</td>\n",
|
1042 |
+
" </tr>\n",
|
1043 |
+
" <tr>\n",
|
1044 |
+
" <td>165</td>\n",
|
1045 |
+
" <td>1.123400</td>\n",
|
1046 |
+
" </tr>\n",
|
1047 |
+
" <tr>\n",
|
1048 |
+
" <td>166</td>\n",
|
1049 |
+
" <td>1.090900</td>\n",
|
1050 |
+
" </tr>\n",
|
1051 |
+
" <tr>\n",
|
1052 |
+
" <td>167</td>\n",
|
1053 |
+
" <td>1.144400</td>\n",
|
1054 |
+
" </tr>\n",
|
1055 |
+
" <tr>\n",
|
1056 |
+
" <td>168</td>\n",
|
1057 |
+
" <td>1.125100</td>\n",
|
1058 |
+
" </tr>\n",
|
1059 |
+
" <tr>\n",
|
1060 |
+
" <td>169</td>\n",
|
1061 |
+
" <td>1.110700</td>\n",
|
1062 |
+
" </tr>\n",
|
1063 |
+
" <tr>\n",
|
1064 |
+
" <td>170</td>\n",
|
1065 |
+
" <td>1.134300</td>\n",
|
1066 |
+
" </tr>\n",
|
1067 |
+
" <tr>\n",
|
1068 |
+
" <td>171</td>\n",
|
1069 |
+
" <td>1.092600</td>\n",
|
1070 |
+
" </tr>\n",
|
1071 |
+
" <tr>\n",
|
1072 |
+
" <td>172</td>\n",
|
1073 |
+
" <td>1.123000</td>\n",
|
1074 |
+
" </tr>\n",
|
1075 |
+
" <tr>\n",
|
1076 |
+
" <td>173</td>\n",
|
1077 |
+
" <td>1.080100</td>\n",
|
1078 |
+
" </tr>\n",
|
1079 |
+
" <tr>\n",
|
1080 |
+
" <td>174</td>\n",
|
1081 |
+
" <td>1.104100</td>\n",
|
1082 |
+
" </tr>\n",
|
1083 |
+
" <tr>\n",
|
1084 |
+
" <td>175</td>\n",
|
1085 |
+
" <td>1.105800</td>\n",
|
1086 |
+
" </tr>\n",
|
1087 |
+
" <tr>\n",
|
1088 |
+
" <td>176</td>\n",
|
1089 |
+
" <td>1.156000</td>\n",
|
1090 |
+
" </tr>\n",
|
1091 |
+
" <tr>\n",
|
1092 |
+
" <td>177</td>\n",
|
1093 |
+
" <td>1.104000</td>\n",
|
1094 |
+
" </tr>\n",
|
1095 |
+
" <tr>\n",
|
1096 |
+
" <td>178</td>\n",
|
1097 |
+
" <td>1.118500</td>\n",
|
1098 |
+
" </tr>\n",
|
1099 |
+
" <tr>\n",
|
1100 |
+
" <td>179</td>\n",
|
1101 |
+
" <td>1.123100</td>\n",
|
1102 |
+
" </tr>\n",
|
1103 |
+
" <tr>\n",
|
1104 |
+
" <td>180</td>\n",
|
1105 |
+
" <td>1.117000</td>\n",
|
1106 |
+
" </tr>\n",
|
1107 |
+
" <tr>\n",
|
1108 |
+
" <td>181</td>\n",
|
1109 |
+
" <td>1.122100</td>\n",
|
1110 |
+
" </tr>\n",
|
1111 |
+
" <tr>\n",
|
1112 |
+
" <td>182</td>\n",
|
1113 |
+
" <td>1.141200</td>\n",
|
1114 |
+
" </tr>\n",
|
1115 |
+
" <tr>\n",
|
1116 |
+
" <td>183</td>\n",
|
1117 |
+
" <td>1.135600</td>\n",
|
1118 |
+
" </tr>\n",
|
1119 |
+
" <tr>\n",
|
1120 |
+
" <td>184</td>\n",
|
1121 |
+
" <td>1.093600</td>\n",
|
1122 |
+
" </tr>\n",
|
1123 |
+
" <tr>\n",
|
1124 |
+
" <td>185</td>\n",
|
1125 |
+
" <td>1.156300</td>\n",
|
1126 |
+
" </tr>\n",
|
1127 |
+
" <tr>\n",
|
1128 |
+
" <td>186</td>\n",
|
1129 |
+
" <td>1.095600</td>\n",
|
1130 |
+
" </tr>\n",
|
1131 |
+
" <tr>\n",
|
1132 |
+
" <td>187</td>\n",
|
1133 |
+
" <td>1.128900</td>\n",
|
1134 |
+
" </tr>\n",
|
1135 |
+
" <tr>\n",
|
1136 |
+
" <td>188</td>\n",
|
1137 |
+
" <td>1.101200</td>\n",
|
1138 |
+
" </tr>\n",
|
1139 |
+
" <tr>\n",
|
1140 |
+
" <td>189</td>\n",
|
1141 |
+
" <td>1.149900</td>\n",
|
1142 |
+
" </tr>\n",
|
1143 |
+
" <tr>\n",
|
1144 |
+
" <td>190</td>\n",
|
1145 |
+
" <td>1.112300</td>\n",
|
1146 |
+
" </tr>\n",
|
1147 |
+
" <tr>\n",
|
1148 |
+
" <td>191</td>\n",
|
1149 |
+
" <td>1.117600</td>\n",
|
1150 |
+
" </tr>\n",
|
1151 |
+
" <tr>\n",
|
1152 |
+
" <td>192</td>\n",
|
1153 |
+
" <td>1.090600</td>\n",
|
1154 |
+
" </tr>\n",
|
1155 |
+
" <tr>\n",
|
1156 |
+
" <td>193</td>\n",
|
1157 |
+
" <td>1.097700</td>\n",
|
1158 |
+
" </tr>\n",
|
1159 |
+
" <tr>\n",
|
1160 |
+
" <td>194</td>\n",
|
1161 |
+
" <td>1.084700</td>\n",
|
1162 |
+
" </tr>\n",
|
1163 |
+
" <tr>\n",
|
1164 |
+
" <td>195</td>\n",
|
1165 |
+
" <td>1.128900</td>\n",
|
1166 |
+
" </tr>\n",
|
1167 |
+
" <tr>\n",
|
1168 |
+
" <td>196</td>\n",
|
1169 |
+
" <td>1.126400</td>\n",
|
1170 |
+
" </tr>\n",
|
1171 |
+
" <tr>\n",
|
1172 |
+
" <td>197</td>\n",
|
1173 |
+
" <td>1.113000</td>\n",
|
1174 |
+
" </tr>\n",
|
1175 |
+
" <tr>\n",
|
1176 |
+
" <td>198</td>\n",
|
1177 |
+
" <td>1.107500</td>\n",
|
1178 |
+
" </tr>\n",
|
1179 |
+
" <tr>\n",
|
1180 |
+
" <td>199</td>\n",
|
1181 |
+
" <td>1.160100</td>\n",
|
1182 |
+
" </tr>\n",
|
1183 |
+
" <tr>\n",
|
1184 |
+
" <td>200</td>\n",
|
1185 |
+
" <td>1.125800</td>\n",
|
1186 |
+
" </tr>\n",
|
1187 |
+
" <tr>\n",
|
1188 |
+
" <td>201</td>\n",
|
1189 |
+
" <td>1.125300</td>\n",
|
1190 |
+
" </tr>\n",
|
1191 |
+
" <tr>\n",
|
1192 |
+
" <td>202</td>\n",
|
1193 |
+
" <td>1.127200</td>\n",
|
1194 |
+
" </tr>\n",
|
1195 |
+
" <tr>\n",
|
1196 |
+
" <td>203</td>\n",
|
1197 |
+
" <td>1.114200</td>\n",
|
1198 |
+
" </tr>\n",
|
1199 |
+
" <tr>\n",
|
1200 |
+
" <td>204</td>\n",
|
1201 |
+
" <td>1.114300</td>\n",
|
1202 |
+
" </tr>\n",
|
1203 |
+
" <tr>\n",
|
1204 |
+
" <td>205</td>\n",
|
1205 |
+
" <td>1.119200</td>\n",
|
1206 |
+
" </tr>\n",
|
1207 |
+
" <tr>\n",
|
1208 |
+
" <td>206</td>\n",
|
1209 |
+
" <td>1.114500</td>\n",
|
1210 |
+
" </tr>\n",
|
1211 |
+
" <tr>\n",
|
1212 |
+
" <td>207</td>\n",
|
1213 |
+
" <td>1.086100</td>\n",
|
1214 |
+
" </tr>\n",
|
1215 |
+
" <tr>\n",
|
1216 |
+
" <td>208</td>\n",
|
1217 |
+
" <td>1.096200</td>\n",
|
1218 |
+
" </tr>\n",
|
1219 |
+
" <tr>\n",
|
1220 |
+
" <td>209</td>\n",
|
1221 |
+
" <td>1.115800</td>\n",
|
1222 |
+
" </tr>\n",
|
1223 |
+
" <tr>\n",
|
1224 |
+
" <td>210</td>\n",
|
1225 |
+
" <td>1.094500</td>\n",
|
1226 |
+
" </tr>\n",
|
1227 |
+
" <tr>\n",
|
1228 |
+
" <td>211</td>\n",
|
1229 |
+
" <td>1.106400</td>\n",
|
1230 |
+
" </tr>\n",
|
1231 |
+
" <tr>\n",
|
1232 |
+
" <td>212</td>\n",
|
1233 |
+
" <td>1.121400</td>\n",
|
1234 |
+
" </tr>\n",
|
1235 |
+
" <tr>\n",
|
1236 |
+
" <td>213</td>\n",
|
1237 |
+
" <td>1.137600</td>\n",
|
1238 |
+
" </tr>\n",
|
1239 |
+
" <tr>\n",
|
1240 |
+
" <td>214</td>\n",
|
1241 |
+
" <td>1.107000</td>\n",
|
1242 |
+
" </tr>\n",
|
1243 |
+
" <tr>\n",
|
1244 |
+
" <td>215</td>\n",
|
1245 |
+
" <td>1.095700</td>\n",
|
1246 |
+
" </tr>\n",
|
1247 |
+
" <tr>\n",
|
1248 |
+
" <td>216</td>\n",
|
1249 |
+
" <td>1.083000</td>\n",
|
1250 |
+
" </tr>\n",
|
1251 |
+
" <tr>\n",
|
1252 |
+
" <td>217</td>\n",
|
1253 |
+
" <td>1.088700</td>\n",
|
1254 |
+
" </tr>\n",
|
1255 |
+
" <tr>\n",
|
1256 |
+
" <td>218</td>\n",
|
1257 |
+
" <td>1.133700</td>\n",
|
1258 |
+
" </tr>\n",
|
1259 |
+
" <tr>\n",
|
1260 |
+
" <td>219</td>\n",
|
1261 |
+
" <td>1.115500</td>\n",
|
1262 |
+
" </tr>\n",
|
1263 |
+
" <tr>\n",
|
1264 |
+
" <td>220</td>\n",
|
1265 |
+
" <td>1.152900</td>\n",
|
1266 |
+
" </tr>\n",
|
1267 |
+
" <tr>\n",
|
1268 |
+
" <td>221</td>\n",
|
1269 |
+
" <td>1.100100</td>\n",
|
1270 |
+
" </tr>\n",
|
1271 |
+
" <tr>\n",
|
1272 |
+
" <td>222</td>\n",
|
1273 |
+
" <td>1.112500</td>\n",
|
1274 |
+
" </tr>\n",
|
1275 |
+
" <tr>\n",
|
1276 |
+
" <td>223</td>\n",
|
1277 |
+
" <td>1.119200</td>\n",
|
1278 |
+
" </tr>\n",
|
1279 |
+
" <tr>\n",
|
1280 |
+
" <td>224</td>\n",
|
1281 |
+
" <td>1.122600</td>\n",
|
1282 |
+
" </tr>\n",
|
1283 |
+
" <tr>\n",
|
1284 |
+
" <td>225</td>\n",
|
1285 |
+
" <td>1.100100</td>\n",
|
1286 |
+
" </tr>\n",
|
1287 |
+
" <tr>\n",
|
1288 |
+
" <td>226</td>\n",
|
1289 |
+
" <td>1.082500</td>\n",
|
1290 |
+
" </tr>\n",
|
1291 |
+
" <tr>\n",
|
1292 |
+
" <td>227</td>\n",
|
1293 |
+
" <td>1.094800</td>\n",
|
1294 |
+
" </tr>\n",
|
1295 |
+
" <tr>\n",
|
1296 |
+
" <td>228</td>\n",
|
1297 |
+
" <td>1.123600</td>\n",
|
1298 |
+
" </tr>\n",
|
1299 |
+
" <tr>\n",
|
1300 |
+
" <td>229</td>\n",
|
1301 |
+
" <td>1.124700</td>\n",
|
1302 |
+
" </tr>\n",
|
1303 |
+
" <tr>\n",
|
1304 |
+
" <td>230</td>\n",
|
1305 |
+
" <td>1.148800</td>\n",
|
1306 |
+
" </tr>\n",
|
1307 |
+
" <tr>\n",
|
1308 |
+
" <td>231</td>\n",
|
1309 |
+
" <td>1.109600</td>\n",
|
1310 |
+
" </tr>\n",
|
1311 |
+
" <tr>\n",
|
1312 |
+
" <td>232</td>\n",
|
1313 |
+
" <td>1.096100</td>\n",
|
1314 |
+
" </tr>\n",
|
1315 |
+
" <tr>\n",
|
1316 |
+
" <td>233</td>\n",
|
1317 |
+
" <td>1.123000</td>\n",
|
1318 |
+
" </tr>\n",
|
1319 |
+
" <tr>\n",
|
1320 |
+
" <td>234</td>\n",
|
1321 |
+
" <td>1.102200</td>\n",
|
1322 |
+
" </tr>\n",
|
1323 |
+
" <tr>\n",
|
1324 |
+
" <td>235</td>\n",
|
1325 |
+
" <td>1.113200</td>\n",
|
1326 |
+
" </tr>\n",
|
1327 |
+
" <tr>\n",
|
1328 |
+
" <td>236</td>\n",
|
1329 |
+
" <td>1.150700</td>\n",
|
1330 |
+
" </tr>\n",
|
1331 |
+
" <tr>\n",
|
1332 |
+
" <td>237</td>\n",
|
1333 |
+
" <td>1.131900</td>\n",
|
1334 |
+
" </tr>\n",
|
1335 |
+
" <tr>\n",
|
1336 |
+
" <td>238</td>\n",
|
1337 |
+
" <td>1.107200</td>\n",
|
1338 |
+
" </tr>\n",
|
1339 |
+
" <tr>\n",
|
1340 |
+
" <td>239</td>\n",
|
1341 |
+
" <td>1.137600</td>\n",
|
1342 |
+
" </tr>\n",
|
1343 |
+
" <tr>\n",
|
1344 |
+
" <td>240</td>\n",
|
1345 |
+
" <td>1.094800</td>\n",
|
1346 |
+
" </tr>\n",
|
1347 |
+
" <tr>\n",
|
1348 |
+
" <td>241</td>\n",
|
1349 |
+
" <td>1.068000</td>\n",
|
1350 |
+
" </tr>\n",
|
1351 |
+
" <tr>\n",
|
1352 |
+
" <td>242</td>\n",
|
1353 |
+
" <td>1.122100</td>\n",
|
1354 |
+
" </tr>\n",
|
1355 |
+
" <tr>\n",
|
1356 |
+
" <td>243</td>\n",
|
1357 |
+
" <td>1.153700</td>\n",
|
1358 |
+
" </tr>\n",
|
1359 |
+
" <tr>\n",
|
1360 |
+
" <td>244</td>\n",
|
1361 |
+
" <td>1.045100</td>\n",
|
1362 |
+
" </tr>\n",
|
1363 |
+
" <tr>\n",
|
1364 |
+
" <td>245</td>\n",
|
1365 |
+
" <td>1.131400</td>\n",
|
1366 |
+
" </tr>\n",
|
1367 |
+
" <tr>\n",
|
1368 |
+
" <td>246</td>\n",
|
1369 |
+
" <td>1.134600</td>\n",
|
1370 |
+
" </tr>\n",
|
1371 |
+
" <tr>\n",
|
1372 |
+
" <td>247</td>\n",
|
1373 |
+
" <td>1.105300</td>\n",
|
1374 |
+
" </tr>\n",
|
1375 |
+
" <tr>\n",
|
1376 |
+
" <td>248</td>\n",
|
1377 |
+
" <td>1.108800</td>\n",
|
1378 |
+
" </tr>\n",
|
1379 |
+
" <tr>\n",
|
1380 |
+
" <td>249</td>\n",
|
1381 |
+
" <td>1.080800</td>\n",
|
1382 |
+
" </tr>\n",
|
1383 |
+
" <tr>\n",
|
1384 |
+
" <td>250</td>\n",
|
1385 |
+
" <td>1.119200</td>\n",
|
1386 |
+
" </tr>\n",
|
1387 |
+
" </tbody>\n",
|
1388 |
+
"</table><p>"
|
1389 |
+
],
|
1390 |
+
"text/plain": [
|
1391 |
+
"<IPython.core.display.HTML object>"
|
1392 |
+
]
|
1393 |
+
},
|
1394 |
+
"metadata": {},
|
1395 |
+
"output_type": "display_data"
|
1396 |
+
}
|
1397 |
+
],
|
1398 |
+
"source": [
|
1399 |
+
"trainer = transformers.Trainer(\n",
|
1400 |
+
" model = model,\n",
|
1401 |
+
" train_dataset = data,\n",
|
1402 |
+
" args = targs,\n",
|
1403 |
+
" #data_collator=transformers.DefaultDataCollator\n",
|
1404 |
+
" data_collator=transformers.DataCollatorForLanguageModeling(tokenizer, mlm=False)\n",
|
1405 |
+
")\n",
|
1406 |
+
"trainer.train(resume_from_checkpoint=False)\n",
|
1407 |
+
"model.save_pretrained('sqllama-out3')"
|
1408 |
+
]
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"cell_type": "code",
|
1412 |
+
"execution_count": 11,
|
1413 |
+
"metadata": {},
|
1414 |
+
"outputs": [
|
1415 |
+
{
|
1416 |
+
"name": "stdout",
|
1417 |
+
"output_type": "stream",
|
1418 |
+
"text": [
|
1419 |
+
"from model\n",
|
1420 |
+
"<unk>table: 2-10806592-14\n",
|
1421 |
+
"columns: Home team,Home team score,Away team,Away team score,Venue,Crowd,Date\n",
|
1422 |
+
"Q: What was the away score when the home team was Melbourne?\n",
|
1423 |
+
"A: SELECT Home team,Home team score,Away team,Away team score,Venue,Crowd,Date\n",
|
1424 |
+
"FROM 2-1080\n",
|
1425 |
+
"\n",
|
1426 |
+
"expected answer\n",
|
1427 |
+
"SELECT Away team score FROM 2-10806592-14 WHERE Home team = 'melbourne'\n",
|
1428 |
+
"END\n",
|
1429 |
+
"\n",
|
1430 |
+
"from model\n",
|
1431 |
+
"<unk>table: 2-17978030-6\n",
|
1432 |
+
"columns: Date,Time,Score,Set 1,Set 2,Set 3,Total\n",
|
1433 |
+
"Q: What is the score when the set 3 is 26–28?\n",
|
1434 |
+
"A: SELECT Score FROM 2-17978030-6 WHERE Set 3 = 26–28\n",
|
1435 |
+
"END\n",
|
1436 |
+
"\\end{code}\n",
|
1437 |
+
"\n",
|
1438 |
+
"\n",
|
1439 |
+
"expected answer\n",
|
1440 |
+
"SELECT Score FROM 2-17978030-6 WHERE Set 3 = '26–28'\n",
|
1441 |
+
"END\n",
|
1442 |
+
"\n",
|
1443 |
+
"from model\n",
|
1444 |
+
"<unk>table: 2-12487101-6\n",
|
1445 |
+
"columns: Position,Number,Name,Class,Injury (Status),Last Update\n",
|
1446 |
+
"Q: for the position of rb what is the name?\n",
|
1447 |
+
"A: SELECT Name FROM 2-12487101-6 WHERE Position = 'rb'\n",
|
1448 |
+
"END\n",
|
1449 |
+
"\\end{code}\n",
|
1450 |
+
"\n",
|
1451 |
+
"Comment: I'm not sure what you mean by \"the name of\n",
|
1452 |
+
"\n",
|
1453 |
+
"expected answer\n",
|
1454 |
+
"SELECT Name FROM 2-12487101-6 WHERE Position = 'rb'\n",
|
1455 |
+
"END\n",
|
1456 |
+
"\n",
|
1457 |
+
"from model\n",
|
1458 |
+
"<unk>table: 2-16780011-2\n",
|
1459 |
+
"columns: Week,Date,Opponent,Result,TV Time,Attendance\n",
|
1460 |
+
"Q: Which week had an attendance of 55,158?\n",
|
1461 |
+
"A: SELECT Attendance FROM 2-16780011-2 WHERE Week = '2019-01-06'\n",
|
1462 |
+
"END\n",
|
1463 |
+
"\\end{code}\n",
|
1464 |
+
"\n",
|
1465 |
+
"\n",
|
1466 |
+
"\n",
|
1467 |
+
"expected answer\n",
|
1468 |
+
"SELECT SUM Week FROM 2-16780011-2 WHERE Attendance = '55,158'\n",
|
1469 |
+
"END\n",
|
1470 |
+
"\n",
|
1471 |
+
"from model\n",
|
1472 |
+
"<unk>table: 1-1671401-1\n",
|
1473 |
+
"columns: Year,Starts,Wins,Top 5,Top 10,Poles,Avg. Start,Avg. Finish,Winnings,Position,Team(s)\n",
|
1474 |
+
"Q: Name the least top 5\n",
|
1475 |
+
"A: SELECT MIN Top 5 FROM 1-1671401-1\n",
|
1476 |
+
"END\n",
|
1477 |
+
"\\end{code}\n",
|
1478 |
+
"\n",
|
1479 |
+
"\n",
|
1480 |
+
"expected answer\n",
|
1481 |
+
"SELECT MIN Top 5 FROM 1-1671401-1\n",
|
1482 |
+
"END\n",
|
1483 |
+
"\n",
|
1484 |
+
"from model\n",
|
1485 |
+
"<unk>table: 2-17540875-4\n",
|
1486 |
+
"columns: Tie no,Home team,Score,Away team,Date\n",
|
1487 |
+
"Q: What team was the home team when Manchester City was the away team?\n",
|
1488 |
+
"A: SELECT Tie no,Home team FROM 2-17540875-4 WHERE Away team = 'Manchester City'\n",
|
1489 |
+
"END\n",
|
1490 |
+
"\n",
|
1491 |
+
"Comment: @user378326\n",
|
1492 |
+
"\n",
|
1493 |
+
"expected answer\n",
|
1494 |
+
"SELECT Home team FROM 2-17540875-4 WHERE Away team = 'manchester city'\n",
|
1495 |
+
"END\n",
|
1496 |
+
"\n",
|
1497 |
+
"from model\n",
|
1498 |
+
"<unk>table: 2-15524351-11\n",
|
1499 |
+
"columns: Date,Opponent,Location,Result,Attendance\n",
|
1500 |
+
"Q: What team was the opponent when the result was l 0-27?\n",
|
1501 |
+
"A: SELECT Opponent FROM 2-15524351-11 WHERE Result = 'l 0-27'\n",
|
1502 |
+
"END\n",
|
1503 |
+
"\\end{code}\n",
|
1504 |
+
"\n",
|
1505 |
+
"Comment\n",
|
1506 |
+
"\n",
|
1507 |
+
"expected answer\n",
|
1508 |
+
"SELECT Opponent FROM 2-15524351-11 WHERE Result = 'l 0-27'\n",
|
1509 |
+
"END\n",
|
1510 |
+
"\n",
|
1511 |
+
"from model\n",
|
1512 |
+
"<unk>table: 1-12962773-1\n",
|
1513 |
+
"columns: No,Player,Height,Position,Year born,Current Club\n",
|
1514 |
+
"Q: what's current club with height being 2.09\n",
|
1515 |
+
"A: SELECT Current Club\n",
|
1516 |
+
"FROM 1-12962773-1\n",
|
1517 |
+
"WHERE Height = 2.09\n",
|
1518 |
+
"END\n",
|
1519 |
+
"\\end{code}\n",
|
1520 |
+
"\n",
|
1521 |
+
"Comment: I'm\n",
|
1522 |
+
"\n",
|
1523 |
+
"expected answer\n",
|
1524 |
+
"SELECT Current Club FROM 1-12962773-1 WHERE Height = '2.09'\n",
|
1525 |
+
"END\n",
|
1526 |
+
"\n",
|
1527 |
+
"from model\n",
|
1528 |
+
"<unk>table: 1-12441518-1\n",
|
1529 |
+
"columns: Character,Portrayed by,Main cast seasons,Recurring cast seasons,# of episodes\n",
|
1530 |
+
"Q: How many people named Nick Lucas are on the show?\n",
|
1531 |
+
"A: SELECT COUNT(Character) FROM 1-12441518-1 WHERE Character = 'Nick Lucas'\n",
|
1532 |
+
"END\n",
|
1533 |
+
"\n",
|
1534 |
+
"Comment: @user3783264,\n",
|
1535 |
+
"\n",
|
1536 |
+
"expected answer\n",
|
1537 |
+
"SELECT COUNT Portrayed by FROM 1-12441518-1 WHERE Character = 'Nick Lucas'\n",
|
1538 |
+
"END\n",
|
1539 |
+
"\n",
|
1540 |
+
"from model\n",
|
1541 |
+
"<unk>table: 1-17176509-4\n",
|
1542 |
+
"columns: Position,Driver / Passenger,Equipment,Bike No,Points\n",
|
1543 |
+
"Q: Name the driver/passenger for 30\n",
|
1544 |
+
"A: SELECT Driver / Passenger\n",
|
1545 |
+
"FROM 1-17176509-4\n",
|
1546 |
+
"WHERE 30 = 'Driver / Passenger'\n",
|
1547 |
+
"END\n",
|
1548 |
+
"\n",
|
1549 |
+
"Comment: I'm not sure what you mean by\n",
|
1550 |
+
"\n",
|
1551 |
+
"expected answer\n",
|
1552 |
+
"SELECT COUNT Driver / Passenger FROM 1-17176509-4 WHERE Position = 30\n",
|
1553 |
+
"END\n",
|
1554 |
+
"\n"
|
1555 |
+
]
|
1556 |
+
}
|
1557 |
+
],
|
1558 |
+
"source": [
|
1559 |
+
"def get_query(q):\n",
|
1560 |
+
" \n",
|
1561 |
+
" toks = tokenizer(q , return_tensors='pt')\n",
|
1562 |
+
" ctoks = toks.input_ids.to('cuda')\n",
|
1563 |
+
" gen = model.generate(ctoks, max_length=100)\n",
|
1564 |
+
" return tokenizer.decode(gen[0])\n",
|
1565 |
+
"\n",
|
1566 |
+
"M = len(q_red)\n",
|
1567 |
+
"\n",
|
1568 |
+
"for _ in range(10):\n",
|
1569 |
+
" j = random.randint(0,M-1)\n",
|
1570 |
+
" qs = q_red[j]\n",
|
1571 |
+
" a = a_red[j]\n",
|
1572 |
+
"\n",
|
1573 |
+
" ma = get_query(qs)\n",
|
1574 |
+
"\n",
|
1575 |
+
" #print(qs)\n",
|
1576 |
+
" print('from model')\n",
|
1577 |
+
" print(ma)\n",
|
1578 |
+
" print()\n",
|
1579 |
+
" print('expected answer')\n",
|
1580 |
+
" print(a)\n"
|
1581 |
+
]
|
1582 |
+
}
|
1583 |
+
],
|
1584 |
+
"metadata": {
|
1585 |
+
"kernelspec": {
|
1586 |
+
"display_name": ".venv",
|
1587 |
+
"language": "python",
|
1588 |
+
"name": "python3"
|
1589 |
+
},
|
1590 |
+
"language_info": {
|
1591 |
+
"codemirror_mode": {
|
1592 |
+
"name": "ipython",
|
1593 |
+
"version": 3
|
1594 |
+
},
|
1595 |
+
"file_extension": ".py",
|
1596 |
+
"mimetype": "text/x-python",
|
1597 |
+
"name": "python",
|
1598 |
+
"nbconvert_exporter": "python",
|
1599 |
+
"pygments_lexer": "ipython3",
|
1600 |
+
"version": "3.7.3"
|
1601 |
+
},
|
1602 |
+
"orig_nbformat": 4,
|
1603 |
+
"vscode": {
|
1604 |
+
"interpreter": {
|
1605 |
+
"hash": "6a381460736e8a0eabfb35eafae436ba15c06439de44e28b965ea473bd8dda90"
|
1606 |
+
}
|
1607 |
+
}
|
1608 |
+
},
|
1609 |
+
"nbformat": 4,
|
1610 |
+
"nbformat_minor": 2
|
1611 |
+
}
|