Commit
•
8965eb9
1
Parent(s):
ce91638
trained v3
Browse files- res3.txt +592 -0
- sqllama-out3/adapter_config.json +18 -0
- sqllama-out3/adapter_model.bin +3 -0
- wikisql.ipynb +46 -1023
res3.txt
ADDED
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| 1 |
+
/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...
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warn(msg)
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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.
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The tokenizer class you load from this checkpoint is 'LLaMATokenizer'.
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The class this function is called from is 'LlamaTokenizer'.
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+
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| 7 |
+
===================================BUG REPORT===================================
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Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
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| 9 |
+
================================================================================
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| 10 |
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CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
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| 11 |
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CUDA SETUP: Highest compute capability among GPUs detected: 7.5
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| 12 |
+
CUDA SETUP: Detected CUDA version 113
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| 13 |
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CUDA SETUP: Loading binary /home/matt/hf/sqllama-V0/.venv/lib/python3.7/site-packages/bitsandbytes/libbitsandbytes_cuda113.so...
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| 14 |
+
Output exceeds the size limit. Open the full output data in a text editor
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| 15 |
+
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table: 2-16050349-13
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| 17 |
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columns: Rank,Name,Team,Games,Points
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| 18 |
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Q: What is Games, when Points is less than 340, and when Rank is greater than 3?
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A: SELECT Games FROM 2-16050349-13 WHERE Points < 340 AND Rank > 3
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END
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| 21 |
+
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| 22 |
+
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table: 1-28962227-1
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columns: Series,Premiere,Finale,Runners-up,Winner
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Q: What is the date of the finale where Holly Bell was runner-up?
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A: SELECT Finale FROM 1-28962227-1 WHERE Runners-up = 'Holly Bell'
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+
END
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+
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+
table: 2-10652530-2
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+
columns: Week,Date,Opponent,Result,Stadium,Record,Attendance
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+
Q: What was the Browns record after they played the game at the Paul Brown stadium?
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A: SELECT Record FROM 2-10652530-2 WHERE Stadium = 'paul brown stadium'
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+
END
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| 35 |
+
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+
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+
table: 2-18379129-4
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| 38 |
+
columns: play,author,company,base,country
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| 39 |
+
Q: Who is the author of the Play Electra?
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| 40 |
+
...
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| 41 |
+
Q: What is 02-03, when School Year is % Learning In Latvian?
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| 42 |
+
A: SELECT 02-03 FROM 2-16158579-1 WHERE School year = '% learning in latvian'
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END
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| 44 |
+
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| 45 |
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True
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| 46 |
+
92
|
| 47 |
+
0
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| 48 |
+
count 56355.000000
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| 49 |
+
mean 101.219519
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| 50 |
+
std 21.740325
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| 51 |
+
min 63.000000
|
| 52 |
+
25% 87.500000
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| 53 |
+
50% 97.000000
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| 54 |
+
75% 109.000000
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| 55 |
+
max 461.000000
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| 56 |
+
32084
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| 57 |
+
[500/500 7:38:36, Epoch 1/2]
|
| 58 |
+
Step Training Loss
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| 59 |
+
1 2.748800
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| 60 |
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2 2.723800
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| 61 |
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3 2.737600
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| 62 |
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4 2.707100
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| 63 |
+
5 2.692800
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| 64 |
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6 2.720700
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| 65 |
+
7 2.681400
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| 66 |
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8 2.736400
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| 67 |
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9 2.701800
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| 68 |
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10 2.711700
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| 69 |
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11 2.685800
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| 70 |
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12 2.684300
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| 71 |
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13 2.686300
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| 72 |
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14 2.698800
|
| 73 |
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15 2.659300
|
| 74 |
+
16 2.688900
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| 75 |
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17 2.661800
|
| 76 |
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18 2.677700
|
| 77 |
+
19 2.647100
|
| 78 |
+
20 2.679800
|
| 79 |
+
21 2.652000
|
| 80 |
+
22 2.628900
|
| 81 |
+
23 2.656100
|
| 82 |
+
24 2.669100
|
| 83 |
+
25 2.667800
|
| 84 |
+
26 2.636300
|
| 85 |
+
27 2.616800
|
| 86 |
+
28 2.630600
|
| 87 |
+
29 2.621000
|
| 88 |
+
30 2.602000
|
| 89 |
+
31 2.607900
|
| 90 |
+
32 2.635800
|
| 91 |
+
33 2.594600
|
| 92 |
+
34 2.604400
|
| 93 |
+
35 2.618900
|
| 94 |
+
36 2.563400
|
| 95 |
+
37 2.589200
|
| 96 |
+
38 2.552100
|
| 97 |
+
39 2.583600
|
| 98 |
+
40 2.554500
|
| 99 |
+
41 2.557400
|
| 100 |
+
42 2.536700
|
| 101 |
+
43 2.535000
|
| 102 |
+
44 2.557900
|
| 103 |
+
45 2.530100
|
| 104 |
+
46 2.527900
|
| 105 |
+
47 2.510100
|
| 106 |
+
48 2.539100
|
| 107 |
+
49 2.500100
|
| 108 |
+
50 2.536200
|
| 109 |
+
51 2.487100
|
| 110 |
+
52 2.521700
|
| 111 |
+
53 2.532600
|
| 112 |
+
54 2.494500
|
| 113 |
+
55 2.468900
|
| 114 |
+
56 2.468700
|
| 115 |
+
57 2.474300
|
| 116 |
+
58 2.480900
|
| 117 |
+
59 2.442800
|
| 118 |
+
60 2.472800
|
| 119 |
+
61 2.452900
|
| 120 |
+
62 2.452000
|
| 121 |
+
63 2.443100
|
| 122 |
+
64 2.446700
|
| 123 |
+
65 2.415100
|
| 124 |
+
66 2.376300
|
| 125 |
+
67 2.411500
|
| 126 |
+
68 2.403900
|
| 127 |
+
69 2.383800
|
| 128 |
+
70 2.427800
|
| 129 |
+
71 2.419400
|
| 130 |
+
72 2.371900
|
| 131 |
+
73 2.364400
|
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/home/matt/hf/sqllama-V0/.venv/lib/python3.7/site-packages/transformers/generation/utils.py:1220: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation)
|
| 560 |
+
"You have modified the pretrained model configuration to control generation. This is a"
|
| 561 |
+
/home/matt/hf/sqllama-V0/.venv/lib/python3.7/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
|
| 562 |
+
warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
|
| 563 |
+
Output exceeds the size limit. Open the full output data in a text editor
|
| 564 |
+
from model
|
| 565 |
+
<unk>table: 2-11561331-17
|
| 566 |
+
columns: Name,Actual version,System,Platform,License
|
| 567 |
+
Q: Which System's Name is Steem, and has a Freeware License?
|
| 568 |
+
A: SELECT Name FROM 2-11561331-17 WHERE License = 'Freeware' AND System = 'Steem'
|
| 569 |
+
END
|
| 570 |
+
\end{code}
|
| 571 |
+
|
| 572 |
+
|
| 573 |
+
|
| 574 |
+
expected answer
|
| 575 |
+
SELECT System FROM 2-11561331-17 WHERE License = 'freeware' AND Name = 'steem'
|
| 576 |
+
END
|
| 577 |
+
|
| 578 |
+
from model
|
| 579 |
+
<unk>table: 1-18847736-2
|
| 580 |
+
columns: Game,Date,Opponent,Result,Dolphins points,Opponents,Record,Attendance
|
| 581 |
+
Q: What is the date when the opponent is the New England Patriots?
|
| 582 |
+
A: SELECT Date FROM 1-18847736-2 WHERE Opponent = 'New England Patriots'
|
| 583 |
+
END
|
| 584 |
+
\end
|
| 585 |
+
|
| 586 |
+
expected answer
|
| 587 |
+
SELECT Date FROM 1-18847736-2 WHERE Opponent = 'New England Patriots'
|
| 588 |
+
END
|
| 589 |
+
...
|
| 590 |
+
expected answer
|
| 591 |
+
SELECT Manufacturer FROM 1-17801022-1 WHERE Date = 'November 2'
|
| 592 |
+
END
|
sqllama-out3/adapter_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model_name_or_path": "decapoda-research/llama-7b-hf",
|
| 3 |
+
"bias": "none",
|
| 4 |
+
"enable_lora": null,
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"lora_alpha": 16,
|
| 8 |
+
"lora_dropout": 0.1,
|
| 9 |
+
"merge_weights": false,
|
| 10 |
+
"modules_to_save": null,
|
| 11 |
+
"peft_type": "LORA",
|
| 12 |
+
"r": 4,
|
| 13 |
+
"target_modules": [
|
| 14 |
+
"q_proj",
|
| 15 |
+
"v_proj"
|
| 16 |
+
],
|
| 17 |
+
"task_type": "CASUAL_LM"
|
| 18 |
+
}
|
sqllama-out3/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d12d7102022c5ae89b006db222885aa4acde5b853063bf288c24ebc430f26bb7
|
| 3 |
+
size 8434381
|
wikisql.ipynb
CHANGED
|
@@ -55,7 +55,7 @@
|
|
| 55 |
{
|
| 56 |
"data": {
|
| 57 |
"application/vnd.jupyter.widget-view+json": {
|
| 58 |
-
"model_id": "
|
| 59 |
"version_major": 2,
|
| 60 |
"version_minor": 0
|
| 61 |
},
|
|
@@ -96,38 +96,38 @@
|
|
| 96 |
"output_type": "stream",
|
| 97 |
"text": [
|
| 98 |
"\n",
|
| 99 |
-
"table: 2-
|
| 100 |
-
"columns:
|
| 101 |
-
"Q: What
|
| 102 |
-
"A: SELECT
|
| 103 |
"END\n",
|
| 104 |
"\n",
|
| 105 |
"\n",
|
| 106 |
-
"table:
|
| 107 |
-
"columns:
|
| 108 |
-
"Q:
|
| 109 |
-
"A: SELECT
|
| 110 |
"END\n",
|
| 111 |
"\n",
|
| 112 |
"\n",
|
| 113 |
-
"table:
|
| 114 |
-
"columns:
|
| 115 |
-
"Q:
|
| 116 |
-
"A: SELECT
|
| 117 |
"END\n",
|
| 118 |
"\n",
|
| 119 |
"\n",
|
| 120 |
-
"table: 2-
|
| 121 |
-
"columns:
|
| 122 |
-
"Q: What is the number
|
| 123 |
-
"A: SELECT
|
| 124 |
"END\n",
|
| 125 |
"\n",
|
| 126 |
"\n",
|
| 127 |
-
"table:
|
| 128 |
-
"columns:
|
| 129 |
-
"Q: What
|
| 130 |
-
"A: SELECT
|
| 131 |
"END\n",
|
| 132 |
"\n"
|
| 133 |
]
|
|
@@ -278,7 +278,7 @@
|
|
| 278 |
{
|
| 279 |
"data": {
|
| 280 |
"application/vnd.jupyter.widget-view+json": {
|
| 281 |
-
"model_id": "
|
| 282 |
"version_major": 2,
|
| 283 |
"version_minor": 0
|
| 284 |
},
|
|
@@ -320,12 +320,11 @@
|
|
| 320 |
"LORA_R = 4\n",
|
| 321 |
"LORA_ALPHA = 16\n",
|
| 322 |
"LORA_DROPOUT = .1\n",
|
| 323 |
-
"CUTOFF_LEN = 256\n",
|
| 324 |
"BATCH = 128\n",
|
| 325 |
"MICRO_BATCH = 4\n",
|
| 326 |
"N_GAS = BATCH//MICRO_BATCH\n",
|
| 327 |
-
"EPOCHS =
|
| 328 |
-
"LR = 1e-
|
| 329 |
"\n",
|
| 330 |
"lora_cfg = LoraConfig(\n",
|
| 331 |
" r = LORA_R,\n",
|
|
@@ -345,7 +344,7 @@
|
|
| 345 |
" learning_rate=LR,\n",
|
| 346 |
" fp16=True,\n",
|
| 347 |
" logging_steps=1,\n",
|
| 348 |
-
" output_dir='sqllama-
|
| 349 |
" save_total_limit=3,\n",
|
| 350 |
" remove_unused_columns=False\n",
|
| 351 |
")\n"
|
|
@@ -362,8 +361,8 @@
|
|
| 362 |
"\n",
|
| 363 |
" <div>\n",
|
| 364 |
" \n",
|
| 365 |
-
" <progress value='
|
| 366 |
-
" [
|
| 367 |
" </div>\n",
|
| 368 |
" <table border=\"1\" class=\"dataframe\">\n",
|
| 369 |
" <thead>\n",
|
|
@@ -379,999 +378,7 @@
|
|
| 379 |
" </tr>\n",
|
| 380 |
" <tr>\n",
|
| 381 |
" <td>2</td>\n",
|
| 382 |
-
" <td>2.
|
| 383 |
-
" </tr>\n",
|
| 384 |
-
" <tr>\n",
|
| 385 |
-
" <td>3</td>\n",
|
| 386 |
-
" <td>2.670200</td>\n",
|
| 387 |
-
" </tr>\n",
|
| 388 |
-
" <tr>\n",
|
| 389 |
-
" <td>4</td>\n",
|
| 390 |
-
" <td>2.600500</td>\n",
|
| 391 |
-
" </tr>\n",
|
| 392 |
-
" <tr>\n",
|
| 393 |
-
" <td>5</td>\n",
|
| 394 |
-
" <td>2.560100</td>\n",
|
| 395 |
-
" </tr>\n",
|
| 396 |
-
" <tr>\n",
|
| 397 |
-
" <td>6</td>\n",
|
| 398 |
-
" <td>2.556800</td>\n",
|
| 399 |
-
" </tr>\n",
|
| 400 |
-
" <tr>\n",
|
| 401 |
-
" <td>7</td>\n",
|
| 402 |
-
" <td>2.498100</td>\n",
|
| 403 |
-
" </tr>\n",
|
| 404 |
-
" <tr>\n",
|
| 405 |
-
" <td>8</td>\n",
|
| 406 |
-
" <td>2.515400</td>\n",
|
| 407 |
-
" </tr>\n",
|
| 408 |
-
" <tr>\n",
|
| 409 |
-
" <td>9</td>\n",
|
| 410 |
-
" <td>2.436100</td>\n",
|
| 411 |
-
" </tr>\n",
|
| 412 |
-
" <tr>\n",
|
| 413 |
-
" <td>10</td>\n",
|
| 414 |
-
" <td>2.411700</td>\n",
|
| 415 |
-
" </tr>\n",
|
| 416 |
-
" <tr>\n",
|
| 417 |
-
" <td>11</td>\n",
|
| 418 |
-
" <td>2.346400</td>\n",
|
| 419 |
-
" </tr>\n",
|
| 420 |
-
" <tr>\n",
|
| 421 |
-
" <td>12</td>\n",
|
| 422 |
-
" <td>2.276300</td>\n",
|
| 423 |
-
" </tr>\n",
|
| 424 |
-
" <tr>\n",
|
| 425 |
-
" <td>13</td>\n",
|
| 426 |
-
" <td>2.238000</td>\n",
|
| 427 |
-
" </tr>\n",
|
| 428 |
-
" <tr>\n",
|
| 429 |
-
" <td>14</td>\n",
|
| 430 |
-
" <td>2.189100</td>\n",
|
| 431 |
-
" </tr>\n",
|
| 432 |
-
" <tr>\n",
|
| 433 |
-
" <td>15</td>\n",
|
| 434 |
-
" <td>2.109200</td>\n",
|
| 435 |
-
" </tr>\n",
|
| 436 |
-
" <tr>\n",
|
| 437 |
-
" <td>16</td>\n",
|
| 438 |
-
" <td>2.058000</td>\n",
|
| 439 |
-
" </tr>\n",
|
| 440 |
-
" <tr>\n",
|
| 441 |
-
" <td>17</td>\n",
|
| 442 |
-
" <td>1.983900</td>\n",
|
| 443 |
-
" </tr>\n",
|
| 444 |
-
" <tr>\n",
|
| 445 |
-
" <td>18</td>\n",
|
| 446 |
-
" <td>1.928600</td>\n",
|
| 447 |
-
" </tr>\n",
|
| 448 |
-
" <tr>\n",
|
| 449 |
-
" <td>19</td>\n",
|
| 450 |
-
" <td>1.824100</td>\n",
|
| 451 |
-
" </tr>\n",
|
| 452 |
-
" <tr>\n",
|
| 453 |
-
" <td>20</td>\n",
|
| 454 |
-
" <td>1.794700</td>\n",
|
| 455 |
-
" </tr>\n",
|
| 456 |
-
" <tr>\n",
|
| 457 |
-
" <td>21</td>\n",
|
| 458 |
-
" <td>1.681200</td>\n",
|
| 459 |
-
" </tr>\n",
|
| 460 |
-
" <tr>\n",
|
| 461 |
-
" <td>22</td>\n",
|
| 462 |
-
" <td>1.598900</td>\n",
|
| 463 |
-
" </tr>\n",
|
| 464 |
-
" <tr>\n",
|
| 465 |
-
" <td>23</td>\n",
|
| 466 |
-
" <td>1.562000</td>\n",
|
| 467 |
-
" </tr>\n",
|
| 468 |
-
" <tr>\n",
|
| 469 |
-
" <td>24</td>\n",
|
| 470 |
-
" <td>1.527200</td>\n",
|
| 471 |
-
" </tr>\n",
|
| 472 |
-
" <tr>\n",
|
| 473 |
-
" <td>25</td>\n",
|
| 474 |
-
" <td>1.518700</td>\n",
|
| 475 |
-
" </tr>\n",
|
| 476 |
-
" <tr>\n",
|
| 477 |
-
" <td>26</td>\n",
|
| 478 |
-
" <td>1.493100</td>\n",
|
| 479 |
-
" </tr>\n",
|
| 480 |
-
" <tr>\n",
|
| 481 |
-
" <td>27</td>\n",
|
| 482 |
-
" <td>1.500500</td>\n",
|
| 483 |
-
" </tr>\n",
|
| 484 |
-
" <tr>\n",
|
| 485 |
-
" <td>28</td>\n",
|
| 486 |
-
" <td>1.464000</td>\n",
|
| 487 |
-
" </tr>\n",
|
| 488 |
-
" <tr>\n",
|
| 489 |
-
" <td>29</td>\n",
|
| 490 |
-
" <td>1.386900</td>\n",
|
| 491 |
-
" </tr>\n",
|
| 492 |
-
" <tr>\n",
|
| 493 |
-
" <td>30</td>\n",
|
| 494 |
-
" <td>1.373400</td>\n",
|
| 495 |
-
" </tr>\n",
|
| 496 |
-
" <tr>\n",
|
| 497 |
-
" <td>31</td>\n",
|
| 498 |
-
" <td>1.362200</td>\n",
|
| 499 |
-
" </tr>\n",
|
| 500 |
-
" <tr>\n",
|
| 501 |
-
" <td>32</td>\n",
|
| 502 |
-
" <td>1.360800</td>\n",
|
| 503 |
-
" </tr>\n",
|
| 504 |
-
" <tr>\n",
|
| 505 |
-
" <td>33</td>\n",
|
| 506 |
-
" <td>1.321000</td>\n",
|
| 507 |
-
" </tr>\n",
|
| 508 |
-
" <tr>\n",
|
| 509 |
-
" <td>34</td>\n",
|
| 510 |
-
" <td>1.310500</td>\n",
|
| 511 |
-
" </tr>\n",
|
| 512 |
-
" <tr>\n",
|
| 513 |
-
" <td>35</td>\n",
|
| 514 |
-
" <td>1.302600</td>\n",
|
| 515 |
-
" </tr>\n",
|
| 516 |
-
" <tr>\n",
|
| 517 |
-
" <td>36</td>\n",
|
| 518 |
-
" <td>1.256100</td>\n",
|
| 519 |
-
" </tr>\n",
|
| 520 |
-
" <tr>\n",
|
| 521 |
-
" <td>37</td>\n",
|
| 522 |
-
" <td>1.252500</td>\n",
|
| 523 |
-
" </tr>\n",
|
| 524 |
-
" <tr>\n",
|
| 525 |
-
" <td>38</td>\n",
|
| 526 |
-
" <td>1.202300</td>\n",
|
| 527 |
-
" </tr>\n",
|
| 528 |
-
" <tr>\n",
|
| 529 |
-
" <td>39</td>\n",
|
| 530 |
-
" <td>1.249100</td>\n",
|
| 531 |
-
" </tr>\n",
|
| 532 |
-
" <tr>\n",
|
| 533 |
-
" <td>40</td>\n",
|
| 534 |
-
" <td>1.188600</td>\n",
|
| 535 |
-
" </tr>\n",
|
| 536 |
-
" <tr>\n",
|
| 537 |
-
" <td>41</td>\n",
|
| 538 |
-
" <td>1.203200</td>\n",
|
| 539 |
-
" </tr>\n",
|
| 540 |
-
" <tr>\n",
|
| 541 |
-
" <td>42</td>\n",
|
| 542 |
-
" <td>1.150000</td>\n",
|
| 543 |
-
" </tr>\n",
|
| 544 |
-
" <tr>\n",
|
| 545 |
-
" <td>43</td>\n",
|
| 546 |
-
" <td>1.182000</td>\n",
|
| 547 |
-
" </tr>\n",
|
| 548 |
-
" <tr>\n",
|
| 549 |
-
" <td>44</td>\n",
|
| 550 |
-
" <td>1.192300</td>\n",
|
| 551 |
-
" </tr>\n",
|
| 552 |
-
" <tr>\n",
|
| 553 |
-
" <td>45</td>\n",
|
| 554 |
-
" <td>1.133100</td>\n",
|
| 555 |
-
" </tr>\n",
|
| 556 |
-
" <tr>\n",
|
| 557 |
-
" <td>46</td>\n",
|
| 558 |
-
" <td>1.119600</td>\n",
|
| 559 |
-
" </tr>\n",
|
| 560 |
-
" <tr>\n",
|
| 561 |
-
" <td>47</td>\n",
|
| 562 |
-
" <td>1.097000</td>\n",
|
| 563 |
-
" </tr>\n",
|
| 564 |
-
" <tr>\n",
|
| 565 |
-
" <td>48</td>\n",
|
| 566 |
-
" <td>1.142100</td>\n",
|
| 567 |
-
" </tr>\n",
|
| 568 |
-
" <tr>\n",
|
| 569 |
-
" <td>49</td>\n",
|
| 570 |
-
" <td>1.117200</td>\n",
|
| 571 |
-
" </tr>\n",
|
| 572 |
-
" <tr>\n",
|
| 573 |
-
" <td>50</td>\n",
|
| 574 |
-
" <td>1.129200</td>\n",
|
| 575 |
-
" </tr>\n",
|
| 576 |
-
" <tr>\n",
|
| 577 |
-
" <td>51</td>\n",
|
| 578 |
-
" <td>1.087300</td>\n",
|
| 579 |
-
" </tr>\n",
|
| 580 |
-
" <tr>\n",
|
| 581 |
-
" <td>52</td>\n",
|
| 582 |
-
" <td>1.098700</td>\n",
|
| 583 |
-
" </tr>\n",
|
| 584 |
-
" <tr>\n",
|
| 585 |
-
" <td>53</td>\n",
|
| 586 |
-
" <td>1.135400</td>\n",
|
| 587 |
-
" </tr>\n",
|
| 588 |
-
" <tr>\n",
|
| 589 |
-
" <td>54</td>\n",
|
| 590 |
-
" <td>1.071700</td>\n",
|
| 591 |
-
" </tr>\n",
|
| 592 |
-
" <tr>\n",
|
| 593 |
-
" <td>55</td>\n",
|
| 594 |
-
" <td>1.087300</td>\n",
|
| 595 |
-
" </tr>\n",
|
| 596 |
-
" <tr>\n",
|
| 597 |
-
" <td>56</td>\n",
|
| 598 |
-
" <td>1.051400</td>\n",
|
| 599 |
-
" </tr>\n",
|
| 600 |
-
" <tr>\n",
|
| 601 |
-
" <td>57</td>\n",
|
| 602 |
-
" <td>1.068300</td>\n",
|
| 603 |
-
" </tr>\n",
|
| 604 |
-
" <tr>\n",
|
| 605 |
-
" <td>58</td>\n",
|
| 606 |
-
" <td>1.092500</td>\n",
|
| 607 |
-
" </tr>\n",
|
| 608 |
-
" <tr>\n",
|
| 609 |
-
" <td>59</td>\n",
|
| 610 |
-
" <td>1.068600</td>\n",
|
| 611 |
-
" </tr>\n",
|
| 612 |
-
" <tr>\n",
|
| 613 |
-
" <td>60</td>\n",
|
| 614 |
-
" <td>1.072800</td>\n",
|
| 615 |
-
" </tr>\n",
|
| 616 |
-
" <tr>\n",
|
| 617 |
-
" <td>61</td>\n",
|
| 618 |
-
" <td>1.074000</td>\n",
|
| 619 |
-
" </tr>\n",
|
| 620 |
-
" <tr>\n",
|
| 621 |
-
" <td>62</td>\n",
|
| 622 |
-
" <td>1.060400</td>\n",
|
| 623 |
-
" </tr>\n",
|
| 624 |
-
" <tr>\n",
|
| 625 |
-
" <td>63</td>\n",
|
| 626 |
-
" <td>1.065800</td>\n",
|
| 627 |
-
" </tr>\n",
|
| 628 |
-
" <tr>\n",
|
| 629 |
-
" <td>64</td>\n",
|
| 630 |
-
" <td>1.075900</td>\n",
|
| 631 |
-
" </tr>\n",
|
| 632 |
-
" <tr>\n",
|
| 633 |
-
" <td>65</td>\n",
|
| 634 |
-
" <td>1.059500</td>\n",
|
| 635 |
-
" </tr>\n",
|
| 636 |
-
" <tr>\n",
|
| 637 |
-
" <td>66</td>\n",
|
| 638 |
-
" <td>1.039600</td>\n",
|
| 639 |
-
" </tr>\n",
|
| 640 |
-
" <tr>\n",
|
| 641 |
-
" <td>67</td>\n",
|
| 642 |
-
" <td>1.051400</td>\n",
|
| 643 |
-
" </tr>\n",
|
| 644 |
-
" <tr>\n",
|
| 645 |
-
" <td>68</td>\n",
|
| 646 |
-
" <td>1.049500</td>\n",
|
| 647 |
-
" </tr>\n",
|
| 648 |
-
" <tr>\n",
|
| 649 |
-
" <td>69</td>\n",
|
| 650 |
-
" <td>1.023800</td>\n",
|
| 651 |
-
" </tr>\n",
|
| 652 |
-
" <tr>\n",
|
| 653 |
-
" <td>70</td>\n",
|
| 654 |
-
" <td>1.071900</td>\n",
|
| 655 |
-
" </tr>\n",
|
| 656 |
-
" <tr>\n",
|
| 657 |
-
" <td>71</td>\n",
|
| 658 |
-
" <td>1.051000</td>\n",
|
| 659 |
-
" </tr>\n",
|
| 660 |
-
" <tr>\n",
|
| 661 |
-
" <td>72</td>\n",
|
| 662 |
-
" <td>1.034700</td>\n",
|
| 663 |
-
" </tr>\n",
|
| 664 |
-
" <tr>\n",
|
| 665 |
-
" <td>73</td>\n",
|
| 666 |
-
" <td>1.041600</td>\n",
|
| 667 |
-
" </tr>\n",
|
| 668 |
-
" <tr>\n",
|
| 669 |
-
" <td>74</td>\n",
|
| 670 |
-
" <td>1.030900</td>\n",
|
| 671 |
-
" </tr>\n",
|
| 672 |
-
" <tr>\n",
|
| 673 |
-
" <td>75</td>\n",
|
| 674 |
-
" <td>1.010800</td>\n",
|
| 675 |
-
" </tr>\n",
|
| 676 |
-
" <tr>\n",
|
| 677 |
-
" <td>76</td>\n",
|
| 678 |
-
" <td>1.019800</td>\n",
|
| 679 |
-
" </tr>\n",
|
| 680 |
-
" <tr>\n",
|
| 681 |
-
" <td>77</td>\n",
|
| 682 |
-
" <td>1.005000</td>\n",
|
| 683 |
-
" </tr>\n",
|
| 684 |
-
" <tr>\n",
|
| 685 |
-
" <td>78</td>\n",
|
| 686 |
-
" <td>1.043800</td>\n",
|
| 687 |
-
" </tr>\n",
|
| 688 |
-
" <tr>\n",
|
| 689 |
-
" <td>79</td>\n",
|
| 690 |
-
" <td>1.009200</td>\n",
|
| 691 |
-
" </tr>\n",
|
| 692 |
-
" <tr>\n",
|
| 693 |
-
" <td>80</td>\n",
|
| 694 |
-
" <td>1.017100</td>\n",
|
| 695 |
-
" </tr>\n",
|
| 696 |
-
" <tr>\n",
|
| 697 |
-
" <td>81</td>\n",
|
| 698 |
-
" <td>1.044600</td>\n",
|
| 699 |
-
" </tr>\n",
|
| 700 |
-
" <tr>\n",
|
| 701 |
-
" <td>82</td>\n",
|
| 702 |
-
" <td>1.022600</td>\n",
|
| 703 |
-
" </tr>\n",
|
| 704 |
-
" <tr>\n",
|
| 705 |
-
" <td>83</td>\n",
|
| 706 |
-
" <td>1.011400</td>\n",
|
| 707 |
-
" </tr>\n",
|
| 708 |
-
" <tr>\n",
|
| 709 |
-
" <td>84</td>\n",
|
| 710 |
-
" <td>0.996600</td>\n",
|
| 711 |
-
" </tr>\n",
|
| 712 |
-
" <tr>\n",
|
| 713 |
-
" <td>85</td>\n",
|
| 714 |
-
" <td>1.029900</td>\n",
|
| 715 |
-
" </tr>\n",
|
| 716 |
-
" <tr>\n",
|
| 717 |
-
" <td>86</td>\n",
|
| 718 |
-
" <td>0.988200</td>\n",
|
| 719 |
-
" </tr>\n",
|
| 720 |
-
" <tr>\n",
|
| 721 |
-
" <td>87</td>\n",
|
| 722 |
-
" <td>1.005600</td>\n",
|
| 723 |
-
" </tr>\n",
|
| 724 |
-
" <tr>\n",
|
| 725 |
-
" <td>88</td>\n",
|
| 726 |
-
" <td>0.986600</td>\n",
|
| 727 |
-
" </tr>\n",
|
| 728 |
-
" <tr>\n",
|
| 729 |
-
" <td>89</td>\n",
|
| 730 |
-
" <td>1.025300</td>\n",
|
| 731 |
-
" </tr>\n",
|
| 732 |
-
" <tr>\n",
|
| 733 |
-
" <td>90</td>\n",
|
| 734 |
-
" <td>1.012500</td>\n",
|
| 735 |
-
" </tr>\n",
|
| 736 |
-
" <tr>\n",
|
| 737 |
-
" <td>91</td>\n",
|
| 738 |
-
" <td>0.988100</td>\n",
|
| 739 |
-
" </tr>\n",
|
| 740 |
-
" <tr>\n",
|
| 741 |
-
" <td>92</td>\n",
|
| 742 |
-
" <td>1.001800</td>\n",
|
| 743 |
-
" </tr>\n",
|
| 744 |
-
" <tr>\n",
|
| 745 |
-
" <td>93</td>\n",
|
| 746 |
-
" <td>0.987100</td>\n",
|
| 747 |
-
" </tr>\n",
|
| 748 |
-
" <tr>\n",
|
| 749 |
-
" <td>94</td>\n",
|
| 750 |
-
" <td>1.017600</td>\n",
|
| 751 |
-
" </tr>\n",
|
| 752 |
-
" <tr>\n",
|
| 753 |
-
" <td>95</td>\n",
|
| 754 |
-
" <td>0.998500</td>\n",
|
| 755 |
-
" </tr>\n",
|
| 756 |
-
" <tr>\n",
|
| 757 |
-
" <td>96</td>\n",
|
| 758 |
-
" <td>0.966600</td>\n",
|
| 759 |
-
" </tr>\n",
|
| 760 |
-
" <tr>\n",
|
| 761 |
-
" <td>97</td>\n",
|
| 762 |
-
" <td>0.983700</td>\n",
|
| 763 |
-
" </tr>\n",
|
| 764 |
-
" <tr>\n",
|
| 765 |
-
" <td>98</td>\n",
|
| 766 |
-
" <td>0.961800</td>\n",
|
| 767 |
-
" </tr>\n",
|
| 768 |
-
" <tr>\n",
|
| 769 |
-
" <td>99</td>\n",
|
| 770 |
-
" <td>0.969000</td>\n",
|
| 771 |
-
" </tr>\n",
|
| 772 |
-
" <tr>\n",
|
| 773 |
-
" <td>100</td>\n",
|
| 774 |
-
" <td>0.989200</td>\n",
|
| 775 |
-
" </tr>\n",
|
| 776 |
-
" <tr>\n",
|
| 777 |
-
" <td>101</td>\n",
|
| 778 |
-
" <td>0.956400</td>\n",
|
| 779 |
-
" </tr>\n",
|
| 780 |
-
" <tr>\n",
|
| 781 |
-
" <td>102</td>\n",
|
| 782 |
-
" <td>0.976000</td>\n",
|
| 783 |
-
" </tr>\n",
|
| 784 |
-
" <tr>\n",
|
| 785 |
-
" <td>103</td>\n",
|
| 786 |
-
" <td>1.000100</td>\n",
|
| 787 |
-
" </tr>\n",
|
| 788 |
-
" <tr>\n",
|
| 789 |
-
" <td>104</td>\n",
|
| 790 |
-
" <td>1.001500</td>\n",
|
| 791 |
-
" </tr>\n",
|
| 792 |
-
" <tr>\n",
|
| 793 |
-
" <td>105</td>\n",
|
| 794 |
-
" <td>0.995900</td>\n",
|
| 795 |
-
" </tr>\n",
|
| 796 |
-
" <tr>\n",
|
| 797 |
-
" <td>106</td>\n",
|
| 798 |
-
" <td>0.989700</td>\n",
|
| 799 |
-
" </tr>\n",
|
| 800 |
-
" <tr>\n",
|
| 801 |
-
" <td>107</td>\n",
|
| 802 |
-
" <td>0.965700</td>\n",
|
| 803 |
-
" </tr>\n",
|
| 804 |
-
" <tr>\n",
|
| 805 |
-
" <td>108</td>\n",
|
| 806 |
-
" <td>0.968400</td>\n",
|
| 807 |
-
" </tr>\n",
|
| 808 |
-
" <tr>\n",
|
| 809 |
-
" <td>109</td>\n",
|
| 810 |
-
" <td>1.019600</td>\n",
|
| 811 |
-
" </tr>\n",
|
| 812 |
-
" <tr>\n",
|
| 813 |
-
" <td>110</td>\n",
|
| 814 |
-
" <td>1.000100</td>\n",
|
| 815 |
-
" </tr>\n",
|
| 816 |
-
" <tr>\n",
|
| 817 |
-
" <td>111</td>\n",
|
| 818 |
-
" <td>0.978500</td>\n",
|
| 819 |
-
" </tr>\n",
|
| 820 |
-
" <tr>\n",
|
| 821 |
-
" <td>112</td>\n",
|
| 822 |
-
" <td>0.978900</td>\n",
|
| 823 |
-
" </tr>\n",
|
| 824 |
-
" <tr>\n",
|
| 825 |
-
" <td>113</td>\n",
|
| 826 |
-
" <td>0.952600</td>\n",
|
| 827 |
-
" </tr>\n",
|
| 828 |
-
" <tr>\n",
|
| 829 |
-
" <td>114</td>\n",
|
| 830 |
-
" <td>0.975400</td>\n",
|
| 831 |
-
" </tr>\n",
|
| 832 |
-
" <tr>\n",
|
| 833 |
-
" <td>115</td>\n",
|
| 834 |
-
" <td>0.989400</td>\n",
|
| 835 |
-
" </tr>\n",
|
| 836 |
-
" <tr>\n",
|
| 837 |
-
" <td>116</td>\n",
|
| 838 |
-
" <td>0.968500</td>\n",
|
| 839 |
-
" </tr>\n",
|
| 840 |
-
" <tr>\n",
|
| 841 |
-
" <td>117</td>\n",
|
| 842 |
-
" <td>0.960100</td>\n",
|
| 843 |
-
" </tr>\n",
|
| 844 |
-
" <tr>\n",
|
| 845 |
-
" <td>118</td>\n",
|
| 846 |
-
" <td>0.979100</td>\n",
|
| 847 |
-
" </tr>\n",
|
| 848 |
-
" <tr>\n",
|
| 849 |
-
" <td>119</td>\n",
|
| 850 |
-
" <td>0.955100</td>\n",
|
| 851 |
-
" </tr>\n",
|
| 852 |
-
" <tr>\n",
|
| 853 |
-
" <td>120</td>\n",
|
| 854 |
-
" <td>0.934800</td>\n",
|
| 855 |
-
" </tr>\n",
|
| 856 |
-
" <tr>\n",
|
| 857 |
-
" <td>121</td>\n",
|
| 858 |
-
" <td>0.943600</td>\n",
|
| 859 |
-
" </tr>\n",
|
| 860 |
-
" <tr>\n",
|
| 861 |
-
" <td>122</td>\n",
|
| 862 |
-
" <td>0.976700</td>\n",
|
| 863 |
-
" </tr>\n",
|
| 864 |
-
" <tr>\n",
|
| 865 |
-
" <td>123</td>\n",
|
| 866 |
-
" <td>0.998700</td>\n",
|
| 867 |
-
" </tr>\n",
|
| 868 |
-
" <tr>\n",
|
| 869 |
-
" <td>124</td>\n",
|
| 870 |
-
" <td>0.930500</td>\n",
|
| 871 |
-
" </tr>\n",
|
| 872 |
-
" <tr>\n",
|
| 873 |
-
" <td>125</td>\n",
|
| 874 |
-
" <td>0.953500</td>\n",
|
| 875 |
-
" </tr>\n",
|
| 876 |
-
" <tr>\n",
|
| 877 |
-
" <td>126</td>\n",
|
| 878 |
-
" <td>0.978000</td>\n",
|
| 879 |
-
" </tr>\n",
|
| 880 |
-
" <tr>\n",
|
| 881 |
-
" <td>127</td>\n",
|
| 882 |
-
" <td>0.967300</td>\n",
|
| 883 |
-
" </tr>\n",
|
| 884 |
-
" <tr>\n",
|
| 885 |
-
" <td>128</td>\n",
|
| 886 |
-
" <td>0.929400</td>\n",
|
| 887 |
-
" </tr>\n",
|
| 888 |
-
" <tr>\n",
|
| 889 |
-
" <td>129</td>\n",
|
| 890 |
-
" <td>0.963100</td>\n",
|
| 891 |
-
" </tr>\n",
|
| 892 |
-
" <tr>\n",
|
| 893 |
-
" <td>130</td>\n",
|
| 894 |
-
" <td>0.961500</td>\n",
|
| 895 |
-
" </tr>\n",
|
| 896 |
-
" <tr>\n",
|
| 897 |
-
" <td>131</td>\n",
|
| 898 |
-
" <td>0.978500</td>\n",
|
| 899 |
-
" </tr>\n",
|
| 900 |
-
" <tr>\n",
|
| 901 |
-
" <td>132</td>\n",
|
| 902 |
-
" <td>0.937200</td>\n",
|
| 903 |
-
" </tr>\n",
|
| 904 |
-
" <tr>\n",
|
| 905 |
-
" <td>133</td>\n",
|
| 906 |
-
" <td>0.953400</td>\n",
|
| 907 |
-
" </tr>\n",
|
| 908 |
-
" <tr>\n",
|
| 909 |
-
" <td>134</td>\n",
|
| 910 |
-
" <td>0.962000</td>\n",
|
| 911 |
-
" </tr>\n",
|
| 912 |
-
" <tr>\n",
|
| 913 |
-
" <td>135</td>\n",
|
| 914 |
-
" <td>0.950700</td>\n",
|
| 915 |
-
" </tr>\n",
|
| 916 |
-
" <tr>\n",
|
| 917 |
-
" <td>136</td>\n",
|
| 918 |
-
" <td>0.925100</td>\n",
|
| 919 |
-
" </tr>\n",
|
| 920 |
-
" <tr>\n",
|
| 921 |
-
" <td>137</td>\n",
|
| 922 |
-
" <td>0.958800</td>\n",
|
| 923 |
-
" </tr>\n",
|
| 924 |
-
" <tr>\n",
|
| 925 |
-
" <td>138</td>\n",
|
| 926 |
-
" <td>0.926200</td>\n",
|
| 927 |
-
" </tr>\n",
|
| 928 |
-
" <tr>\n",
|
| 929 |
-
" <td>139</td>\n",
|
| 930 |
-
" <td>0.930600</td>\n",
|
| 931 |
-
" </tr>\n",
|
| 932 |
-
" <tr>\n",
|
| 933 |
-
" <td>140</td>\n",
|
| 934 |
-
" <td>0.968900</td>\n",
|
| 935 |
-
" </tr>\n",
|
| 936 |
-
" <tr>\n",
|
| 937 |
-
" <td>141</td>\n",
|
| 938 |
-
" <td>0.970400</td>\n",
|
| 939 |
-
" </tr>\n",
|
| 940 |
-
" <tr>\n",
|
| 941 |
-
" <td>142</td>\n",
|
| 942 |
-
" <td>0.927100</td>\n",
|
| 943 |
-
" </tr>\n",
|
| 944 |
-
" <tr>\n",
|
| 945 |
-
" <td>143</td>\n",
|
| 946 |
-
" <td>0.911800</td>\n",
|
| 947 |
-
" </tr>\n",
|
| 948 |
-
" <tr>\n",
|
| 949 |
-
" <td>144</td>\n",
|
| 950 |
-
" <td>0.953200</td>\n",
|
| 951 |
-
" </tr>\n",
|
| 952 |
-
" <tr>\n",
|
| 953 |
-
" <td>145</td>\n",
|
| 954 |
-
" <td>0.907100</td>\n",
|
| 955 |
-
" </tr>\n",
|
| 956 |
-
" <tr>\n",
|
| 957 |
-
" <td>146</td>\n",
|
| 958 |
-
" <td>0.935900</td>\n",
|
| 959 |
-
" </tr>\n",
|
| 960 |
-
" <tr>\n",
|
| 961 |
-
" <td>147</td>\n",
|
| 962 |
-
" <td>0.970600</td>\n",
|
| 963 |
-
" </tr>\n",
|
| 964 |
-
" <tr>\n",
|
| 965 |
-
" <td>148</td>\n",
|
| 966 |
-
" <td>0.920400</td>\n",
|
| 967 |
-
" </tr>\n",
|
| 968 |
-
" <tr>\n",
|
| 969 |
-
" <td>149</td>\n",
|
| 970 |
-
" <td>0.930200</td>\n",
|
| 971 |
-
" </tr>\n",
|
| 972 |
-
" <tr>\n",
|
| 973 |
-
" <td>150</td>\n",
|
| 974 |
-
" <td>0.926700</td>\n",
|
| 975 |
-
" </tr>\n",
|
| 976 |
-
" <tr>\n",
|
| 977 |
-
" <td>151</td>\n",
|
| 978 |
-
" <td>0.913400</td>\n",
|
| 979 |
-
" </tr>\n",
|
| 980 |
-
" <tr>\n",
|
| 981 |
-
" <td>152</td>\n",
|
| 982 |
-
" <td>0.926800</td>\n",
|
| 983 |
-
" </tr>\n",
|
| 984 |
-
" <tr>\n",
|
| 985 |
-
" <td>153</td>\n",
|
| 986 |
-
" <td>0.967200</td>\n",
|
| 987 |
-
" </tr>\n",
|
| 988 |
-
" <tr>\n",
|
| 989 |
-
" <td>154</td>\n",
|
| 990 |
-
" <td>0.939500</td>\n",
|
| 991 |
-
" </tr>\n",
|
| 992 |
-
" <tr>\n",
|
| 993 |
-
" <td>155</td>\n",
|
| 994 |
-
" <td>0.910600</td>\n",
|
| 995 |
-
" </tr>\n",
|
| 996 |
-
" <tr>\n",
|
| 997 |
-
" <td>156</td>\n",
|
| 998 |
-
" <td>0.926400</td>\n",
|
| 999 |
-
" </tr>\n",
|
| 1000 |
-
" <tr>\n",
|
| 1001 |
-
" <td>157</td>\n",
|
| 1002 |
-
" <td>0.935400</td>\n",
|
| 1003 |
-
" </tr>\n",
|
| 1004 |
-
" <tr>\n",
|
| 1005 |
-
" <td>158</td>\n",
|
| 1006 |
-
" <td>0.967700</td>\n",
|
| 1007 |
-
" </tr>\n",
|
| 1008 |
-
" <tr>\n",
|
| 1009 |
-
" <td>159</td>\n",
|
| 1010 |
-
" <td>0.899000</td>\n",
|
| 1011 |
-
" </tr>\n",
|
| 1012 |
-
" <tr>\n",
|
| 1013 |
-
" <td>160</td>\n",
|
| 1014 |
-
" <td>0.916600</td>\n",
|
| 1015 |
-
" </tr>\n",
|
| 1016 |
-
" <tr>\n",
|
| 1017 |
-
" <td>161</td>\n",
|
| 1018 |
-
" <td>0.961600</td>\n",
|
| 1019 |
-
" </tr>\n",
|
| 1020 |
-
" <tr>\n",
|
| 1021 |
-
" <td>162</td>\n",
|
| 1022 |
-
" <td>0.898200</td>\n",
|
| 1023 |
-
" </tr>\n",
|
| 1024 |
-
" <tr>\n",
|
| 1025 |
-
" <td>163</td>\n",
|
| 1026 |
-
" <td>0.944600</td>\n",
|
| 1027 |
-
" </tr>\n",
|
| 1028 |
-
" <tr>\n",
|
| 1029 |
-
" <td>164</td>\n",
|
| 1030 |
-
" <td>0.935700</td>\n",
|
| 1031 |
-
" </tr>\n",
|
| 1032 |
-
" <tr>\n",
|
| 1033 |
-
" <td>165</td>\n",
|
| 1034 |
-
" <td>0.922500</td>\n",
|
| 1035 |
-
" </tr>\n",
|
| 1036 |
-
" <tr>\n",
|
| 1037 |
-
" <td>166</td>\n",
|
| 1038 |
-
" <td>0.897600</td>\n",
|
| 1039 |
-
" </tr>\n",
|
| 1040 |
-
" <tr>\n",
|
| 1041 |
-
" <td>167</td>\n",
|
| 1042 |
-
" <td>0.968600</td>\n",
|
| 1043 |
-
" </tr>\n",
|
| 1044 |
-
" <tr>\n",
|
| 1045 |
-
" <td>168</td>\n",
|
| 1046 |
-
" <td>0.927400</td>\n",
|
| 1047 |
-
" </tr>\n",
|
| 1048 |
-
" <tr>\n",
|
| 1049 |
-
" <td>169</td>\n",
|
| 1050 |
-
" <td>0.910900</td>\n",
|
| 1051 |
-
" </tr>\n",
|
| 1052 |
-
" <tr>\n",
|
| 1053 |
-
" <td>170</td>\n",
|
| 1054 |
-
" <td>0.904700</td>\n",
|
| 1055 |
-
" </tr>\n",
|
| 1056 |
-
" <tr>\n",
|
| 1057 |
-
" <td>171</td>\n",
|
| 1058 |
-
" <td>0.899800</td>\n",
|
| 1059 |
-
" </tr>\n",
|
| 1060 |
-
" <tr>\n",
|
| 1061 |
-
" <td>172</td>\n",
|
| 1062 |
-
" <td>0.896400</td>\n",
|
| 1063 |
-
" </tr>\n",
|
| 1064 |
-
" <tr>\n",
|
| 1065 |
-
" <td>173</td>\n",
|
| 1066 |
-
" <td>0.862100</td>\n",
|
| 1067 |
-
" </tr>\n",
|
| 1068 |
-
" <tr>\n",
|
| 1069 |
-
" <td>174</td>\n",
|
| 1070 |
-
" <td>0.909100</td>\n",
|
| 1071 |
-
" </tr>\n",
|
| 1072 |
-
" <tr>\n",
|
| 1073 |
-
" <td>175</td>\n",
|
| 1074 |
-
" <td>0.903200</td>\n",
|
| 1075 |
-
" </tr>\n",
|
| 1076 |
-
" <tr>\n",
|
| 1077 |
-
" <td>176</td>\n",
|
| 1078 |
-
" <td>0.958600</td>\n",
|
| 1079 |
-
" </tr>\n",
|
| 1080 |
-
" <tr>\n",
|
| 1081 |
-
" <td>177</td>\n",
|
| 1082 |
-
" <td>0.902500</td>\n",
|
| 1083 |
-
" </tr>\n",
|
| 1084 |
-
" <tr>\n",
|
| 1085 |
-
" <td>178</td>\n",
|
| 1086 |
-
" <td>0.894900</td>\n",
|
| 1087 |
-
" </tr>\n",
|
| 1088 |
-
" <tr>\n",
|
| 1089 |
-
" <td>179</td>\n",
|
| 1090 |
-
" <td>0.937900</td>\n",
|
| 1091 |
-
" </tr>\n",
|
| 1092 |
-
" <tr>\n",
|
| 1093 |
-
" <td>180</td>\n",
|
| 1094 |
-
" <td>0.900700</td>\n",
|
| 1095 |
-
" </tr>\n",
|
| 1096 |
-
" <tr>\n",
|
| 1097 |
-
" <td>181</td>\n",
|
| 1098 |
-
" <td>0.922300</td>\n",
|
| 1099 |
-
" </tr>\n",
|
| 1100 |
-
" <tr>\n",
|
| 1101 |
-
" <td>182</td>\n",
|
| 1102 |
-
" <td>0.939300</td>\n",
|
| 1103 |
-
" </tr>\n",
|
| 1104 |
-
" <tr>\n",
|
| 1105 |
-
" <td>183</td>\n",
|
| 1106 |
-
" <td>0.932600</td>\n",
|
| 1107 |
-
" </tr>\n",
|
| 1108 |
-
" <tr>\n",
|
| 1109 |
-
" <td>184</td>\n",
|
| 1110 |
-
" <td>0.913300</td>\n",
|
| 1111 |
-
" </tr>\n",
|
| 1112 |
-
" <tr>\n",
|
| 1113 |
-
" <td>185</td>\n",
|
| 1114 |
-
" <td>0.941700</td>\n",
|
| 1115 |
-
" </tr>\n",
|
| 1116 |
-
" <tr>\n",
|
| 1117 |
-
" <td>186</td>\n",
|
| 1118 |
-
" <td>0.886300</td>\n",
|
| 1119 |
-
" </tr>\n",
|
| 1120 |
-
" <tr>\n",
|
| 1121 |
-
" <td>187</td>\n",
|
| 1122 |
-
" <td>0.918000</td>\n",
|
| 1123 |
-
" </tr>\n",
|
| 1124 |
-
" <tr>\n",
|
| 1125 |
-
" <td>188</td>\n",
|
| 1126 |
-
" <td>0.884000</td>\n",
|
| 1127 |
-
" </tr>\n",
|
| 1128 |
-
" <tr>\n",
|
| 1129 |
-
" <td>189</td>\n",
|
| 1130 |
-
" <td>0.947400</td>\n",
|
| 1131 |
-
" </tr>\n",
|
| 1132 |
-
" <tr>\n",
|
| 1133 |
-
" <td>190</td>\n",
|
| 1134 |
-
" <td>0.894500</td>\n",
|
| 1135 |
-
" </tr>\n",
|
| 1136 |
-
" <tr>\n",
|
| 1137 |
-
" <td>191</td>\n",
|
| 1138 |
-
" <td>0.929300</td>\n",
|
| 1139 |
-
" </tr>\n",
|
| 1140 |
-
" <tr>\n",
|
| 1141 |
-
" <td>192</td>\n",
|
| 1142 |
-
" <td>0.877300</td>\n",
|
| 1143 |
-
" </tr>\n",
|
| 1144 |
-
" <tr>\n",
|
| 1145 |
-
" <td>193</td>\n",
|
| 1146 |
-
" <td>0.894300</td>\n",
|
| 1147 |
-
" </tr>\n",
|
| 1148 |
-
" <tr>\n",
|
| 1149 |
-
" <td>194</td>\n",
|
| 1150 |
-
" <td>0.867800</td>\n",
|
| 1151 |
-
" </tr>\n",
|
| 1152 |
-
" <tr>\n",
|
| 1153 |
-
" <td>195</td>\n",
|
| 1154 |
-
" <td>0.913500</td>\n",
|
| 1155 |
-
" </tr>\n",
|
| 1156 |
-
" <tr>\n",
|
| 1157 |
-
" <td>196</td>\n",
|
| 1158 |
-
" <td>0.908100</td>\n",
|
| 1159 |
-
" </tr>\n",
|
| 1160 |
-
" <tr>\n",
|
| 1161 |
-
" <td>197</td>\n",
|
| 1162 |
-
" <td>0.931200</td>\n",
|
| 1163 |
-
" </tr>\n",
|
| 1164 |
-
" <tr>\n",
|
| 1165 |
-
" <td>198</td>\n",
|
| 1166 |
-
" <td>0.911000</td>\n",
|
| 1167 |
-
" </tr>\n",
|
| 1168 |
-
" <tr>\n",
|
| 1169 |
-
" <td>199</td>\n",
|
| 1170 |
-
" <td>0.941800</td>\n",
|
| 1171 |
-
" </tr>\n",
|
| 1172 |
-
" <tr>\n",
|
| 1173 |
-
" <td>200</td>\n",
|
| 1174 |
-
" <td>0.913000</td>\n",
|
| 1175 |
-
" </tr>\n",
|
| 1176 |
-
" <tr>\n",
|
| 1177 |
-
" <td>201</td>\n",
|
| 1178 |
-
" <td>0.921800</td>\n",
|
| 1179 |
-
" </tr>\n",
|
| 1180 |
-
" <tr>\n",
|
| 1181 |
-
" <td>202</td>\n",
|
| 1182 |
-
" <td>0.921700</td>\n",
|
| 1183 |
-
" </tr>\n",
|
| 1184 |
-
" <tr>\n",
|
| 1185 |
-
" <td>203</td>\n",
|
| 1186 |
-
" <td>0.914500</td>\n",
|
| 1187 |
-
" </tr>\n",
|
| 1188 |
-
" <tr>\n",
|
| 1189 |
-
" <td>204</td>\n",
|
| 1190 |
-
" <td>0.910500</td>\n",
|
| 1191 |
-
" </tr>\n",
|
| 1192 |
-
" <tr>\n",
|
| 1193 |
-
" <td>205</td>\n",
|
| 1194 |
-
" <td>0.906600</td>\n",
|
| 1195 |
-
" </tr>\n",
|
| 1196 |
-
" <tr>\n",
|
| 1197 |
-
" <td>206</td>\n",
|
| 1198 |
-
" <td>0.915100</td>\n",
|
| 1199 |
-
" </tr>\n",
|
| 1200 |
-
" <tr>\n",
|
| 1201 |
-
" <td>207</td>\n",
|
| 1202 |
-
" <td>0.881600</td>\n",
|
| 1203 |
-
" </tr>\n",
|
| 1204 |
-
" <tr>\n",
|
| 1205 |
-
" <td>208</td>\n",
|
| 1206 |
-
" <td>0.884700</td>\n",
|
| 1207 |
-
" </tr>\n",
|
| 1208 |
-
" <tr>\n",
|
| 1209 |
-
" <td>209</td>\n",
|
| 1210 |
-
" <td>0.902900</td>\n",
|
| 1211 |
-
" </tr>\n",
|
| 1212 |
-
" <tr>\n",
|
| 1213 |
-
" <td>210</td>\n",
|
| 1214 |
-
" <td>0.882600</td>\n",
|
| 1215 |
-
" </tr>\n",
|
| 1216 |
-
" <tr>\n",
|
| 1217 |
-
" <td>211</td>\n",
|
| 1218 |
-
" <td>0.891000</td>\n",
|
| 1219 |
-
" </tr>\n",
|
| 1220 |
-
" <tr>\n",
|
| 1221 |
-
" <td>212</td>\n",
|
| 1222 |
-
" <td>0.914400</td>\n",
|
| 1223 |
-
" </tr>\n",
|
| 1224 |
-
" <tr>\n",
|
| 1225 |
-
" <td>213</td>\n",
|
| 1226 |
-
" <td>0.930400</td>\n",
|
| 1227 |
-
" </tr>\n",
|
| 1228 |
-
" <tr>\n",
|
| 1229 |
-
" <td>214</td>\n",
|
| 1230 |
-
" <td>0.891100</td>\n",
|
| 1231 |
-
" </tr>\n",
|
| 1232 |
-
" <tr>\n",
|
| 1233 |
-
" <td>215</td>\n",
|
| 1234 |
-
" <td>0.859300</td>\n",
|
| 1235 |
-
" </tr>\n",
|
| 1236 |
-
" <tr>\n",
|
| 1237 |
-
" <td>216</td>\n",
|
| 1238 |
-
" <td>0.891800</td>\n",
|
| 1239 |
-
" </tr>\n",
|
| 1240 |
-
" <tr>\n",
|
| 1241 |
-
" <td>217</td>\n",
|
| 1242 |
-
" <td>0.873000</td>\n",
|
| 1243 |
-
" </tr>\n",
|
| 1244 |
-
" <tr>\n",
|
| 1245 |
-
" <td>218</td>\n",
|
| 1246 |
-
" <td>0.925900</td>\n",
|
| 1247 |
-
" </tr>\n",
|
| 1248 |
-
" <tr>\n",
|
| 1249 |
-
" <td>219</td>\n",
|
| 1250 |
-
" <td>0.905700</td>\n",
|
| 1251 |
-
" </tr>\n",
|
| 1252 |
-
" <tr>\n",
|
| 1253 |
-
" <td>220</td>\n",
|
| 1254 |
-
" <td>0.921200</td>\n",
|
| 1255 |
-
" </tr>\n",
|
| 1256 |
-
" <tr>\n",
|
| 1257 |
-
" <td>221</td>\n",
|
| 1258 |
-
" <td>0.890200</td>\n",
|
| 1259 |
-
" </tr>\n",
|
| 1260 |
-
" <tr>\n",
|
| 1261 |
-
" <td>222</td>\n",
|
| 1262 |
-
" <td>0.915800</td>\n",
|
| 1263 |
-
" </tr>\n",
|
| 1264 |
-
" <tr>\n",
|
| 1265 |
-
" <td>223</td>\n",
|
| 1266 |
-
" <td>0.887300</td>\n",
|
| 1267 |
-
" </tr>\n",
|
| 1268 |
-
" <tr>\n",
|
| 1269 |
-
" <td>224</td>\n",
|
| 1270 |
-
" <td>0.898300</td>\n",
|
| 1271 |
-
" </tr>\n",
|
| 1272 |
-
" <tr>\n",
|
| 1273 |
-
" <td>225</td>\n",
|
| 1274 |
-
" <td>0.865600</td>\n",
|
| 1275 |
-
" </tr>\n",
|
| 1276 |
-
" <tr>\n",
|
| 1277 |
-
" <td>226</td>\n",
|
| 1278 |
-
" <td>0.873900</td>\n",
|
| 1279 |
-
" </tr>\n",
|
| 1280 |
-
" <tr>\n",
|
| 1281 |
-
" <td>227</td>\n",
|
| 1282 |
-
" <td>0.904800</td>\n",
|
| 1283 |
-
" </tr>\n",
|
| 1284 |
-
" <tr>\n",
|
| 1285 |
-
" <td>228</td>\n",
|
| 1286 |
-
" <td>0.917900</td>\n",
|
| 1287 |
-
" </tr>\n",
|
| 1288 |
-
" <tr>\n",
|
| 1289 |
-
" <td>229</td>\n",
|
| 1290 |
-
" <td>0.923400</td>\n",
|
| 1291 |
-
" </tr>\n",
|
| 1292 |
-
" <tr>\n",
|
| 1293 |
-
" <td>230</td>\n",
|
| 1294 |
-
" <td>0.939700</td>\n",
|
| 1295 |
-
" </tr>\n",
|
| 1296 |
-
" <tr>\n",
|
| 1297 |
-
" <td>231</td>\n",
|
| 1298 |
-
" <td>0.913400</td>\n",
|
| 1299 |
-
" </tr>\n",
|
| 1300 |
-
" <tr>\n",
|
| 1301 |
-
" <td>232</td>\n",
|
| 1302 |
-
" <td>0.873100</td>\n",
|
| 1303 |
-
" </tr>\n",
|
| 1304 |
-
" <tr>\n",
|
| 1305 |
-
" <td>233</td>\n",
|
| 1306 |
-
" <td>0.896700</td>\n",
|
| 1307 |
-
" </tr>\n",
|
| 1308 |
-
" <tr>\n",
|
| 1309 |
-
" <td>234</td>\n",
|
| 1310 |
-
" <td>0.892100</td>\n",
|
| 1311 |
-
" </tr>\n",
|
| 1312 |
-
" <tr>\n",
|
| 1313 |
-
" <td>235</td>\n",
|
| 1314 |
-
" <td>0.902100</td>\n",
|
| 1315 |
-
" </tr>\n",
|
| 1316 |
-
" <tr>\n",
|
| 1317 |
-
" <td>236</td>\n",
|
| 1318 |
-
" <td>0.927200</td>\n",
|
| 1319 |
-
" </tr>\n",
|
| 1320 |
-
" <tr>\n",
|
| 1321 |
-
" <td>237</td>\n",
|
| 1322 |
-
" <td>0.912900</td>\n",
|
| 1323 |
-
" </tr>\n",
|
| 1324 |
-
" <tr>\n",
|
| 1325 |
-
" <td>238</td>\n",
|
| 1326 |
-
" <td>0.872900</td>\n",
|
| 1327 |
-
" </tr>\n",
|
| 1328 |
-
" <tr>\n",
|
| 1329 |
-
" <td>239</td>\n",
|
| 1330 |
-
" <td>0.904700</td>\n",
|
| 1331 |
-
" </tr>\n",
|
| 1332 |
-
" <tr>\n",
|
| 1333 |
-
" <td>240</td>\n",
|
| 1334 |
-
" <td>0.879600</td>\n",
|
| 1335 |
-
" </tr>\n",
|
| 1336 |
-
" <tr>\n",
|
| 1337 |
-
" <td>241</td>\n",
|
| 1338 |
-
" <td>0.879800</td>\n",
|
| 1339 |
-
" </tr>\n",
|
| 1340 |
-
" <tr>\n",
|
| 1341 |
-
" <td>242</td>\n",
|
| 1342 |
-
" <td>0.908800</td>\n",
|
| 1343 |
-
" </tr>\n",
|
| 1344 |
-
" <tr>\n",
|
| 1345 |
-
" <td>243</td>\n",
|
| 1346 |
-
" <td>0.909800</td>\n",
|
| 1347 |
-
" </tr>\n",
|
| 1348 |
-
" <tr>\n",
|
| 1349 |
-
" <td>244</td>\n",
|
| 1350 |
-
" <td>0.838400</td>\n",
|
| 1351 |
-
" </tr>\n",
|
| 1352 |
-
" <tr>\n",
|
| 1353 |
-
" <td>245</td>\n",
|
| 1354 |
-
" <td>0.889200</td>\n",
|
| 1355 |
-
" </tr>\n",
|
| 1356 |
-
" <tr>\n",
|
| 1357 |
-
" <td>246</td>\n",
|
| 1358 |
-
" <td>0.912900</td>\n",
|
| 1359 |
-
" </tr>\n",
|
| 1360 |
-
" <tr>\n",
|
| 1361 |
-
" <td>247</td>\n",
|
| 1362 |
-
" <td>0.879700</td>\n",
|
| 1363 |
-
" </tr>\n",
|
| 1364 |
-
" <tr>\n",
|
| 1365 |
-
" <td>248</td>\n",
|
| 1366 |
-
" <td>0.910700</td>\n",
|
| 1367 |
-
" </tr>\n",
|
| 1368 |
-
" <tr>\n",
|
| 1369 |
-
" <td>249</td>\n",
|
| 1370 |
-
" <td>0.845400</td>\n",
|
| 1371 |
-
" </tr>\n",
|
| 1372 |
-
" <tr>\n",
|
| 1373 |
-
" <td>250</td>\n",
|
| 1374 |
-
" <td>0.882200</td>\n",
|
| 1375 |
" </tr>\n",
|
| 1376 |
" </tbody>\n",
|
| 1377 |
"</table><p>"
|
|
@@ -1382,6 +389,22 @@
|
|
| 1382 |
},
|
| 1383 |
"metadata": {},
|
| 1384 |
"output_type": "display_data"
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| 1385 |
}
|
| 1386 |
],
|
| 1387 |
"source": [
|
|
@@ -1392,12 +415,12 @@
|
|
| 1392 |
" data_collator=transformers.DataCollatorForLanguageModeling(tokenizer, mlm=False)\n",
|
| 1393 |
")\n",
|
| 1394 |
"trainer.train(resume_from_checkpoint=False)\n",
|
| 1395 |
-
"model.save_pretrained('sqllama-
|
| 1396 |
]
|
| 1397 |
},
|
| 1398 |
{
|
| 1399 |
"cell_type": "code",
|
| 1400 |
-
"execution_count":
|
| 1401 |
"metadata": {},
|
| 1402 |
"outputs": [
|
| 1403 |
{
|
|
|
|
| 55 |
{
|
| 56 |
"data": {
|
| 57 |
"application/vnd.jupyter.widget-view+json": {
|
| 58 |
+
"model_id": "f8ad2d1a5de842bcb6b7e3c6972d9074",
|
| 59 |
"version_major": 2,
|
| 60 |
"version_minor": 0
|
| 61 |
},
|
|
|
|
| 96 |
"output_type": "stream",
|
| 97 |
"text": [
|
| 98 |
"\n",
|
| 99 |
+
"table: 2-17672470-19\n",
|
| 100 |
+
"columns: Stage,Winner,General Classification,Mountains Classification,Points Classification,Sprints classification,Team Classification\n",
|
| 101 |
+
"Q: What is the stage of Gerolsteiner?\n",
|
| 102 |
+
"A: SELECT Stage FROM 2-17672470-19 WHERE Team Classification = 'gerolsteiner'\n",
|
| 103 |
"END\n",
|
| 104 |
"\n",
|
| 105 |
"\n",
|
| 106 |
+
"table: 2-12518301-2\n",
|
| 107 |
+
"columns: Rider,Matches,Rides,Bonus Pts,Total Points\n",
|
| 108 |
+
"Q: What was the average number of points with bonus pts less than 31 with the rider dennis gavros?\n",
|
| 109 |
+
"A: SELECT AVG Total Points FROM 2-12518301-2 WHERE Rider = 'dennis gavros' AND Bonus Pts < 31\n",
|
| 110 |
"END\n",
|
| 111 |
"\n",
|
| 112 |
"\n",
|
| 113 |
+
"table: 1-27961684-1\n",
|
| 114 |
+
"columns: Institution,City,State,Team Name,Affiliation,Enrollment,Home Conference\n",
|
| 115 |
+
"Q: How many states were there when there was an enrollment of 2789?\n",
|
| 116 |
+
"A: SELECT COUNT State FROM 1-27961684-1 WHERE Enrollment = 2789\n",
|
| 117 |
"END\n",
|
| 118 |
"\n",
|
| 119 |
"\n",
|
| 120 |
+
"table: 2-17441442-2\n",
|
| 121 |
+
"columns: Res.,Record,Opponent,Method,Event,Round,Time,Location\n",
|
| 122 |
+
"Q: What is the round number when the record is 15–7–1?\n",
|
| 123 |
+
"A: SELECT COUNT Round FROM 2-17441442-2 WHERE Record = '15–7–1'\n",
|
| 124 |
"END\n",
|
| 125 |
"\n",
|
| 126 |
"\n",
|
| 127 |
+
"table: 2-17406982-1\n",
|
| 128 |
+
"columns: Round,Pick,Player,Position,School/Club Team\n",
|
| 129 |
+
"Q: What pick in round 5 did the 49ers pick Jim Pilot?\n",
|
| 130 |
+
"A: SELECT SUM Pick FROM 2-17406982-1 WHERE Player = 'jim pilot' AND Round > 5\n",
|
| 131 |
"END\n",
|
| 132 |
"\n"
|
| 133 |
]
|
|
|
|
| 278 |
{
|
| 279 |
"data": {
|
| 280 |
"application/vnd.jupyter.widget-view+json": {
|
| 281 |
+
"model_id": "708e075933754c6c940eeae9e3d3abc9",
|
| 282 |
"version_major": 2,
|
| 283 |
"version_minor": 0
|
| 284 |
},
|
|
|
|
| 320 |
"LORA_R = 4\n",
|
| 321 |
"LORA_ALPHA = 16\n",
|
| 322 |
"LORA_DROPOUT = .1\n",
|
|
|
|
| 323 |
"BATCH = 128\n",
|
| 324 |
"MICRO_BATCH = 4\n",
|
| 325 |
"N_GAS = BATCH//MICRO_BATCH\n",
|
| 326 |
+
"EPOCHS = 2\n",
|
| 327 |
+
"LR = 1e-5\n",
|
| 328 |
"\n",
|
| 329 |
"lora_cfg = LoraConfig(\n",
|
| 330 |
" r = LORA_R,\n",
|
|
|
|
| 344 |
" learning_rate=LR,\n",
|
| 345 |
" fp16=True,\n",
|
| 346 |
" logging_steps=1,\n",
|
| 347 |
+
" output_dir='sqllama-out3',\n",
|
| 348 |
" save_total_limit=3,\n",
|
| 349 |
" remove_unused_columns=False\n",
|
| 350 |
")\n"
|
|
|
|
| 361 |
"\n",
|
| 362 |
" <div>\n",
|
| 363 |
" \n",
|
| 364 |
+
" <progress value='4' max='500' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
|
| 365 |
+
" [ 4/500 01:51 < 7:38:51, 0.02 it/s, Epoch 0.01/2]\n",
|
| 366 |
" </div>\n",
|
| 367 |
" <table border=\"1\" class=\"dataframe\">\n",
|
| 368 |
" <thead>\n",
|
|
|
|
| 378 |
" </tr>\n",
|
| 379 |
" <tr>\n",
|
| 380 |
" <td>2</td>\n",
|
| 381 |
+
" <td>2.725100</td>\n",
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| 382 |
" </tr>\n",
|
| 383 |
" </tbody>\n",
|
| 384 |
"</table><p>"
|
|
|
|
| 389 |
},
|
| 390 |
"metadata": {},
|
| 391 |
"output_type": "display_data"
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"ename": "KeyboardInterrupt",
|
| 395 |
+
"evalue": "",
|
| 396 |
+
"output_type": "error",
|
| 397 |
+
"traceback": [
|
| 398 |
+
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
| 399 |
+
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
|
| 400 |
+
"\u001b[0;32m/var/tmp/ipykernel_24178/3667964638.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mdata_collator\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtransformers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataCollatorForLanguageModeling\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtokenizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmlm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m )\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave_pretrained\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'sqllama-out3'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
| 401 |
+
"\u001b[0;32m~/hf/sqllama-V0/.venv/lib/python3.7/site-packages/transformers/trainer.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m 1664\u001b[0m \u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1665\u001b[0m \u001b[0mtrial\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1666\u001b[0;31m \u001b[0mignore_keys_for_eval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mignore_keys_for_eval\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1667\u001b[0m )\n\u001b[1;32m 1668\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
| 402 |
+
"\u001b[0;32m~/hf/sqllama-V0/.venv/lib/python3.7/site-packages/transformers/trainer.py\u001b[0m in \u001b[0;36m_inner_training_loop\u001b[0;34m(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)\u001b[0m\n\u001b[1;32m 1927\u001b[0m \u001b[0mtr_loss_step\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1928\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1929\u001b[0;31m \u001b[0mtr_loss_step\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1930\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1931\u001b[0m if (\n",
|
| 403 |
+
"\u001b[0;32m~/hf/sqllama-V0/.venv/lib/python3.7/site-packages/transformers/trainer.py\u001b[0m in \u001b[0;36mtraining_step\u001b[0;34m(self, model, inputs)\u001b[0m\n\u001b[1;32m 2707\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2708\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdo_grad_scaling\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2709\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscaler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscale\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2710\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muse_apex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2711\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mamp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscale_loss\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mscaled_loss\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
| 404 |
+
"\u001b[0;32m~/hf/sqllama-V0/.venv/lib/python3.7/site-packages/torch/_tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph, inputs)\u001b[0m\n\u001b[1;32m 487\u001b[0m )\n\u001b[1;32m 488\u001b[0m torch.autograd.backward(\n\u001b[0;32m--> 489\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 490\u001b[0m )\n\u001b[1;32m 491\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
| 405 |
+
"\u001b[0;32m~/hf/sqllama-V0/.venv/lib/python3.7/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)\u001b[0m\n\u001b[1;32m 197\u001b[0m Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass\n\u001b[1;32m 198\u001b[0m \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 199\u001b[0;31m allow_unreachable=True, accumulate_grad=True) # Calls into the C++ engine to run the backward pass\n\u001b[0m\u001b[1;32m 200\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 201\u001b[0m def grad(\n",
|
| 406 |
+
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
|
| 407 |
+
]
|
| 408 |
}
|
| 409 |
],
|
| 410 |
"source": [
|
|
|
|
| 415 |
" data_collator=transformers.DataCollatorForLanguageModeling(tokenizer, mlm=False)\n",
|
| 416 |
")\n",
|
| 417 |
"trainer.train(resume_from_checkpoint=False)\n",
|
| 418 |
+
"model.save_pretrained('sqllama-out3')"
|
| 419 |
]
|
| 420 |
},
|
| 421 |
{
|
| 422 |
"cell_type": "code",
|
| 423 |
+
"execution_count": null,
|
| 424 |
"metadata": {},
|
| 425 |
"outputs": [
|
| 426 |
{
|