Update README.md
Browse files
README.md
CHANGED
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@@ -8,15 +8,1812 @@ tags:
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- unsloth
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base_model:
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|
|
|
|
|
|
|
| 8 |
- unsloth
|
| 9 |
- mistral
|
| 10 |
- gguf
|
| 11 |
+
base_model: alpindale/Mistral-7B-v0.2-hf
|
| 12 |
---
|
| 13 |
|
| 14 |
+
## This model has been trained for 3 Epochs using Unsloth on the Internal Knowledge Map dataset.
|
| 15 |
|
| 16 |
+
```
|
| 17 |
+
r = 32,
|
| 18 |
+
target_modules = ["q_proj", "k_proj", "v_proj", "o_proj",
|
| 19 |
+
"gate_proj", "up_proj", "down_proj",],
|
| 20 |
+
lora_alpha = 64,
|
| 21 |
+
lora_dropout = 0,
|
| 22 |
+
bias = "none",
|
| 23 |
+
use_gradient_checkpointing = True,
|
| 24 |
+
random_state = 3407,
|
| 25 |
+
use_rslora = True,
|
| 26 |
+
loftq_config = None,
|
| 27 |
+
)
|
| 28 |
|
| 29 |
+
trainer = SFTTrainer(
|
| 30 |
+
model = model,
|
| 31 |
+
tokenizer = tokenizer,
|
| 32 |
+
train_dataset = dataset,
|
| 33 |
+
dataset_text_field= "system",
|
| 34 |
+
max_seq_length = max_seq_length,
|
| 35 |
+
dataset_num_proc = 2,
|
| 36 |
+
packing = False, # Can make training 5x faster for short sequences.
|
| 37 |
+
args = TrainingArguments(
|
| 38 |
+
per_device_train_batch_size = 2,
|
| 39 |
+
gradient_accumulation_steps = 4,
|
| 40 |
+
warmup_steps = 2,
|
| 41 |
+
num_train_epochs= 3,
|
| 42 |
+
learning_rate = 1e-7,
|
| 43 |
+
fp16 = not torch.cuda.is_bf16_supported(),
|
| 44 |
+
bf16 = torch.cuda.is_bf16_supported(),
|
| 45 |
+
logging_steps = 1,
|
| 46 |
+
optim = "adamw_8bit",
|
| 47 |
+
weight_decay = 0.01,
|
| 48 |
+
lr_scheduler_type = "constant",
|
| 49 |
+
seed = 3407,
|
| 50 |
+
output_dir = "outputs",
|
| 51 |
+
),
|
| 52 |
+
)
|
| 53 |
+
```
|
| 54 |
|
| 55 |
+
|
| 56 |
+
```
|
| 57 |
+
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
|
| 58 |
+
\\ /| Num examples = 4,685 | Num Epochs = 3
|
| 59 |
+
O^O/ \_/ \ Batch size per device = 2 | Gradient Accumulation steps = 4
|
| 60 |
+
\ / Total batch size = 8 | Total steps = 1,755
|
| 61 |
+
"-____-" Number of trainable parameters = 83,886,080
|
| 62 |
+
[1755/1755 51:20, Epoch 2/3]
|
| 63 |
+
Step Training Loss
|
| 64 |
+
1 2.944300
|
| 65 |
+
2 2.910400
|
| 66 |
+
3 2.906500
|
| 67 |
+
4 2.902800
|
| 68 |
+
5 2.913200
|
| 69 |
+
6 2.866700
|
| 70 |
+
7 2.867500
|
| 71 |
+
8 2.862300
|
| 72 |
+
9 2.902400
|
| 73 |
+
10 2.943900
|
| 74 |
+
11 2.835800
|
| 75 |
+
12 2.887200
|
| 76 |
+
13 2.905100
|
| 77 |
+
14 2.842800
|
| 78 |
+
15 2.868200
|
| 79 |
+
16 2.831900
|
| 80 |
+
17 2.872600
|
| 81 |
+
18 2.822600
|
| 82 |
+
19 2.851600
|
| 83 |
+
20 3.046100
|
| 84 |
+
21 2.836300
|
| 85 |
+
22 2.831700
|
| 86 |
+
23 2.792300
|
| 87 |
+
24 2.832700
|
| 88 |
+
25 2.827000
|
| 89 |
+
26 2.808900
|
| 90 |
+
27 2.768000
|
| 91 |
+
28 2.760300
|
| 92 |
+
29 2.799200
|
| 93 |
+
30 2.836000
|
| 94 |
+
31 2.784600
|
| 95 |
+
32 2.778300
|
| 96 |
+
33 2.720100
|
| 97 |
+
34 2.754000
|
| 98 |
+
35 2.756100
|
| 99 |
+
36 2.700100
|
| 100 |
+
37 2.694000
|
| 101 |
+
38 2.722700
|
| 102 |
+
39 2.676500
|
| 103 |
+
40 2.668900
|
| 104 |
+
41 2.705800
|
| 105 |
+
42 2.652900
|
| 106 |
+
43 2.641200
|
| 107 |
+
44 2.632700
|
| 108 |
+
45 2.726500
|
| 109 |
+
46 2.662900
|
| 110 |
+
47 2.658400
|
| 111 |
+
48 2.597100
|
| 112 |
+
49 2.657900
|
| 113 |
+
50 2.578400
|
| 114 |
+
51 2.571000
|
| 115 |
+
52 3.062200
|
| 116 |
+
53 2.551800
|
| 117 |
+
54 2.542400
|
| 118 |
+
55 2.532400
|
| 119 |
+
56 2.595800
|
| 120 |
+
57 2.529100
|
| 121 |
+
58 2.564300
|
| 122 |
+
59 2.564800
|
| 123 |
+
60 2.539400
|
| 124 |
+
61 2.583000
|
| 125 |
+
62 2.468100
|
| 126 |
+
63 2.459600
|
| 127 |
+
64 2.466700
|
| 128 |
+
65 2.727600
|
| 129 |
+
66 2.540100
|
| 130 |
+
67 2.417800
|
| 131 |
+
68 2.458500
|
| 132 |
+
69 2.398800
|
| 133 |
+
70 2.390200
|
| 134 |
+
71 2.406800
|
| 135 |
+
72 2.368600
|
| 136 |
+
73 2.359900
|
| 137 |
+
74 2.400300
|
| 138 |
+
75 2.454300
|
| 139 |
+
76 2.377500
|
| 140 |
+
77 2.316500
|
| 141 |
+
78 2.308600
|
| 142 |
+
79 2.445400
|
| 143 |
+
80 2.285500
|
| 144 |
+
81 2.275600
|
| 145 |
+
82 2.266500
|
| 146 |
+
83 2.256000
|
| 147 |
+
84 2.368500
|
| 148 |
+
85 2.236400
|
| 149 |
+
86 2.362200
|
| 150 |
+
87 2.266000
|
| 151 |
+
88 2.388100
|
| 152 |
+
89 2.278100
|
| 153 |
+
90 2.227400
|
| 154 |
+
91 2.167100
|
| 155 |
+
92 2.157800
|
| 156 |
+
93 2.206300
|
| 157 |
+
94 2.259300
|
| 158 |
+
95 2.190800
|
| 159 |
+
96 2.244400
|
| 160 |
+
97 2.225000
|
| 161 |
+
98 2.096200
|
| 162 |
+
99 2.084900
|
| 163 |
+
100 2.071900
|
| 164 |
+
101 2.062100
|
| 165 |
+
102 2.209100
|
| 166 |
+
103 2.178900
|
| 167 |
+
104 2.030200
|
| 168 |
+
105 2.017900
|
| 169 |
+
106 2.006100
|
| 170 |
+
107 1.994900
|
| 171 |
+
108 1.986800
|
| 172 |
+
109 2.121900
|
| 173 |
+
110 1.959900
|
| 174 |
+
111 1.950300
|
| 175 |
+
112 1.939800
|
| 176 |
+
113 2.120700
|
| 177 |
+
114 1.916300
|
| 178 |
+
115 1.975800
|
| 179 |
+
116 1.889900
|
| 180 |
+
117 1.941500
|
| 181 |
+
118 1.936600
|
| 182 |
+
119 1.851300
|
| 183 |
+
120 1.941500
|
| 184 |
+
121 1.976400
|
| 185 |
+
122 1.966300
|
| 186 |
+
123 1.969400
|
| 187 |
+
124 1.789200
|
| 188 |
+
125 1.775700
|
| 189 |
+
126 1.831700
|
| 190 |
+
127 1.826800
|
| 191 |
+
128 1.936000
|
| 192 |
+
129 1.813900
|
| 193 |
+
130 1.798200
|
| 194 |
+
131 1.877400
|
| 195 |
+
132 1.682200
|
| 196 |
+
133 1.666800
|
| 197 |
+
134 1.653100
|
| 198 |
+
135 1.638200
|
| 199 |
+
136 1.736300
|
| 200 |
+
137 2.060800
|
| 201 |
+
138 1.672000
|
| 202 |
+
139 1.581700
|
| 203 |
+
140 1.569800
|
| 204 |
+
141 1.732900
|
| 205 |
+
142 1.541200
|
| 206 |
+
143 1.604700
|
| 207 |
+
144 1.624000
|
| 208 |
+
145 1.652700
|
| 209 |
+
146 1.483300
|
| 210 |
+
147 1.945100
|
| 211 |
+
148 1.561200
|
| 212 |
+
149 1.642300
|
| 213 |
+
150 1.426100
|
| 214 |
+
151 1.600500
|
| 215 |
+
152 1.398300
|
| 216 |
+
153 1.710000
|
| 217 |
+
154 1.496800
|
| 218 |
+
155 1.354100
|
| 219 |
+
156 1.595000
|
| 220 |
+
157 1.431600
|
| 221 |
+
158 1.307100
|
| 222 |
+
159 1.428000
|
| 223 |
+
160 1.551500
|
| 224 |
+
161 1.260000
|
| 225 |
+
162 1.245100
|
| 226 |
+
163 1.227700
|
| 227 |
+
164 1.208700
|
| 228 |
+
165 1.324800
|
| 229 |
+
166 1.499700
|
| 230 |
+
167 1.156300
|
| 231 |
+
168 1.362600
|
| 232 |
+
169 1.216600
|
| 233 |
+
170 1.611500
|
| 234 |
+
171 1.248100
|
| 235 |
+
172 1.165200
|
| 236 |
+
173 1.053700
|
| 237 |
+
174 1.140500
|
| 238 |
+
175 1.147200
|
| 239 |
+
176 0.999200
|
| 240 |
+
177 1.088700
|
| 241 |
+
178 1.095000
|
| 242 |
+
179 1.075200
|
| 243 |
+
180 1.059700
|
| 244 |
+
181 1.183400
|
| 245 |
+
182 0.888700
|
| 246 |
+
183 0.869300
|
| 247 |
+
184 0.847000
|
| 248 |
+
185 0.828900
|
| 249 |
+
186 0.944500
|
| 250 |
+
187 1.034100
|
| 251 |
+
188 0.767900
|
| 252 |
+
189 0.886800
|
| 253 |
+
190 0.871400
|
| 254 |
+
191 1.096600
|
| 255 |
+
192 0.688400
|
| 256 |
+
193 0.666900
|
| 257 |
+
194 0.912600
|
| 258 |
+
195 0.740300
|
| 259 |
+
196 0.610700
|
| 260 |
+
197 0.702400
|
| 261 |
+
198 0.719600
|
| 262 |
+
199 0.768600
|
| 263 |
+
200 0.533000
|
| 264 |
+
201 0.817500
|
| 265 |
+
202 0.667300
|
| 266 |
+
203 0.806400
|
| 267 |
+
204 0.619300
|
| 268 |
+
205 0.445900
|
| 269 |
+
206 0.429300
|
| 270 |
+
207 0.590700
|
| 271 |
+
208 0.395800
|
| 272 |
+
209 0.382600
|
| 273 |
+
210 0.364800
|
| 274 |
+
211 0.350600
|
| 275 |
+
212 0.494900
|
| 276 |
+
213 0.317800
|
| 277 |
+
214 0.646900
|
| 278 |
+
215 0.611100
|
| 279 |
+
216 0.518400
|
| 280 |
+
217 0.257600
|
| 281 |
+
218 0.408800
|
| 282 |
+
219 0.414100
|
| 283 |
+
220 0.464900
|
| 284 |
+
221 0.201400
|
| 285 |
+
222 0.188800
|
| 286 |
+
223 0.345100
|
| 287 |
+
224 0.295500
|
| 288 |
+
225 0.287700
|
| 289 |
+
226 0.449200
|
| 290 |
+
227 0.269400
|
| 291 |
+
228 0.303400
|
| 292 |
+
229 0.402000
|
| 293 |
+
230 0.115800
|
| 294 |
+
231 0.242900
|
| 295 |
+
232 0.105300
|
| 296 |
+
233 0.100400
|
| 297 |
+
234 0.237700
|
| 298 |
+
235 0.093900
|
| 299 |
+
236 0.091300
|
| 300 |
+
237 0.088600
|
| 301 |
+
238 0.086600
|
| 302 |
+
239 0.522000
|
| 303 |
+
240 0.082200
|
| 304 |
+
241 0.254600
|
| 305 |
+
242 0.516600
|
| 306 |
+
243 0.076900
|
| 307 |
+
244 0.472700
|
| 308 |
+
245 0.246300
|
| 309 |
+
246 0.072700
|
| 310 |
+
247 0.071200
|
| 311 |
+
248 0.264800
|
| 312 |
+
249 0.209300
|
| 313 |
+
250 0.262200
|
| 314 |
+
251 0.239800
|
| 315 |
+
252 1.039700
|
| 316 |
+
253 0.706000
|
| 317 |
+
254 0.062600
|
| 318 |
+
255 0.061700
|
| 319 |
+
256 0.393700
|
| 320 |
+
257 0.232300
|
| 321 |
+
258 0.452000
|
| 322 |
+
259 0.399700
|
| 323 |
+
260 0.056900
|
| 324 |
+
261 0.186400
|
| 325 |
+
262 0.054900
|
| 326 |
+
263 0.054000
|
| 327 |
+
264 0.640100
|
| 328 |
+
265 0.243200
|
| 329 |
+
266 0.180500
|
| 330 |
+
267 0.310100
|
| 331 |
+
268 0.049300
|
| 332 |
+
269 0.407000
|
| 333 |
+
270 0.215900
|
| 334 |
+
271 0.046700
|
| 335 |
+
272 0.183900
|
| 336 |
+
273 0.214000
|
| 337 |
+
274 0.044600
|
| 338 |
+
275 0.684800
|
| 339 |
+
276 0.231700
|
| 340 |
+
277 0.208600
|
| 341 |
+
278 0.375100
|
| 342 |
+
279 0.041300
|
| 343 |
+
280 0.040800
|
| 344 |
+
281 0.204400
|
| 345 |
+
282 0.165900
|
| 346 |
+
283 0.294900
|
| 347 |
+
284 0.039000
|
| 348 |
+
285 0.038600
|
| 349 |
+
286 0.038100
|
| 350 |
+
287 0.037600
|
| 351 |
+
288 0.222900
|
| 352 |
+
289 0.750600
|
| 353 |
+
290 0.309900
|
| 354 |
+
291 0.036300
|
| 355 |
+
292 0.159900
|
| 356 |
+
293 0.035900
|
| 357 |
+
294 0.035700
|
| 358 |
+
295 0.219700
|
| 359 |
+
296 0.157600
|
| 360 |
+
297 0.359100
|
| 361 |
+
298 0.485500
|
| 362 |
+
299 0.338700
|
| 363 |
+
300 0.191700
|
| 364 |
+
301 0.035000
|
| 365 |
+
302 0.034900
|
| 366 |
+
303 0.199700
|
| 367 |
+
304 0.034800
|
| 368 |
+
305 0.617400
|
| 369 |
+
306 0.034600
|
| 370 |
+
307 0.034500
|
| 371 |
+
308 0.954600
|
| 372 |
+
309 0.710700
|
| 373 |
+
310 0.034400
|
| 374 |
+
311 0.185900
|
| 375 |
+
312 0.214300
|
| 376 |
+
313 0.284000
|
| 377 |
+
314 0.034200
|
| 378 |
+
315 0.311800
|
| 379 |
+
316 0.034000
|
| 380 |
+
317 0.034000
|
| 381 |
+
318 0.034000
|
| 382 |
+
319 0.034000
|
| 383 |
+
320 0.195700
|
| 384 |
+
321 0.359200
|
| 385 |
+
322 0.034000
|
| 386 |
+
323 0.033800
|
| 387 |
+
324 0.033800
|
| 388 |
+
325 0.033800
|
| 389 |
+
326 0.166600
|
| 390 |
+
327 0.193500
|
| 391 |
+
328 0.369600
|
| 392 |
+
329 0.279500
|
| 393 |
+
330 0.033600
|
| 394 |
+
331 0.145400
|
| 395 |
+
332 0.209100
|
| 396 |
+
333 0.278600
|
| 397 |
+
334 0.301900
|
| 398 |
+
335 0.033500
|
| 399 |
+
336 0.033400
|
| 400 |
+
337 0.033400
|
| 401 |
+
338 0.333600
|
| 402 |
+
339 0.189200
|
| 403 |
+
340 0.273500
|
| 404 |
+
341 0.406000
|
| 405 |
+
342 0.033200
|
| 406 |
+
343 0.033300
|
| 407 |
+
344 0.175800
|
| 408 |
+
345 0.328600
|
| 409 |
+
346 0.033200
|
| 410 |
+
347 0.033200
|
| 411 |
+
348 0.033200
|
| 412 |
+
349 0.173400
|
| 413 |
+
350 0.273100
|
| 414 |
+
351 0.172400
|
| 415 |
+
352 0.204400
|
| 416 |
+
353 0.138000
|
| 417 |
+
354 0.033000
|
| 418 |
+
355 0.442500
|
| 419 |
+
356 0.353400
|
| 420 |
+
357 0.339000
|
| 421 |
+
358 0.032900
|
| 422 |
+
359 0.182200
|
| 423 |
+
360 0.269400
|
| 424 |
+
361 0.418000
|
| 425 |
+
362 0.032800
|
| 426 |
+
363 0.032800
|
| 427 |
+
364 0.032700
|
| 428 |
+
365 0.161800
|
| 429 |
+
366 0.032600
|
| 430 |
+
367 0.032600
|
| 431 |
+
368 0.165100
|
| 432 |
+
369 0.364700
|
| 433 |
+
370 0.289400
|
| 434 |
+
371 0.032500
|
| 435 |
+
372 0.032500
|
| 436 |
+
373 0.711300
|
| 437 |
+
374 0.263600
|
| 438 |
+
375 0.032500
|
| 439 |
+
376 0.162400
|
| 440 |
+
377 0.259100
|
| 441 |
+
378 0.032400
|
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| 1686 |
+
1623 0.005200
|
| 1687 |
+
1624 0.000700
|
| 1688 |
+
1625 0.003200
|
| 1689 |
+
1626 0.000700
|
| 1690 |
+
1627 0.000700
|
| 1691 |
+
1628 0.004000
|
| 1692 |
+
1629 0.005200
|
| 1693 |
+
1630 0.000600
|
| 1694 |
+
1631 0.004000
|
| 1695 |
+
1632 0.008500
|
| 1696 |
+
1633 0.000600
|
| 1697 |
+
1634 0.000600
|
| 1698 |
+
1635 0.004500
|
| 1699 |
+
1636 0.009600
|
| 1700 |
+
1637 0.000600
|
| 1701 |
+
1638 0.005700
|
| 1702 |
+
1639 0.021400
|
| 1703 |
+
1640 0.000600
|
| 1704 |
+
1641 0.004000
|
| 1705 |
+
1642 0.000600
|
| 1706 |
+
1643 0.003900
|
| 1707 |
+
1644 0.005000
|
| 1708 |
+
1645 0.000500
|
| 1709 |
+
1646 0.044500
|
| 1710 |
+
1647 0.000800
|
| 1711 |
+
1648 0.007200
|
| 1712 |
+
1649 0.000800
|
| 1713 |
+
1650 0.004400
|
| 1714 |
+
1651 0.000800
|
| 1715 |
+
1652 0.003100
|
| 1716 |
+
1653 0.000800
|
| 1717 |
+
1654 0.009600
|
| 1718 |
+
1655 0.009900
|
| 1719 |
+
1656 0.003800
|
| 1720 |
+
1657 0.000600
|
| 1721 |
+
1658 0.006400
|
| 1722 |
+
1659 0.000600
|
| 1723 |
+
1660 0.009200
|
| 1724 |
+
1661 0.005100
|
| 1725 |
+
1662 0.003100
|
| 1726 |
+
1663 0.003900
|
| 1727 |
+
1664 0.000600
|
| 1728 |
+
1665 0.003000
|
| 1729 |
+
1666 0.000500
|
| 1730 |
+
1667 0.014600
|
| 1731 |
+
1668 0.008100
|
| 1732 |
+
1669 0.004400
|
| 1733 |
+
1670 0.003000
|
| 1734 |
+
1671 0.000700
|
| 1735 |
+
1672 0.000700
|
| 1736 |
+
1673 0.000400
|
| 1737 |
+
1674 0.009300
|
| 1738 |
+
1675 0.003000
|
| 1739 |
+
1676 0.009600
|
| 1740 |
+
1677 0.009600
|
| 1741 |
+
1678 0.000400
|
| 1742 |
+
1679 0.007900
|
| 1743 |
+
1680 0.000500
|
| 1744 |
+
1681 0.013600
|
| 1745 |
+
1682 0.003000
|
| 1746 |
+
1683 0.007700
|
| 1747 |
+
1684 0.004400
|
| 1748 |
+
1685 0.009900
|
| 1749 |
+
1686 0.006700
|
| 1750 |
+
1687 0.003700
|
| 1751 |
+
1688 0.000700
|
| 1752 |
+
1689 0.004400
|
| 1753 |
+
1690 0.000700
|
| 1754 |
+
1691 0.000700
|
| 1755 |
+
1692 0.005000
|
| 1756 |
+
1693 0.003000
|
| 1757 |
+
1694 0.000700
|
| 1758 |
+
1695 0.004400
|
| 1759 |
+
1696 0.003700
|
| 1760 |
+
1697 0.013500
|
| 1761 |
+
1698 0.004900
|
| 1762 |
+
1699 0.009100
|
| 1763 |
+
1700 0.004400
|
| 1764 |
+
1701 0.005000
|
| 1765 |
+
1702 0.009700
|
| 1766 |
+
1703 0.009900
|
| 1767 |
+
1704 0.008000
|
| 1768 |
+
1705 0.005600
|
| 1769 |
+
1706 0.009900
|
| 1770 |
+
1707 0.001600
|
| 1771 |
+
1708 0.085800
|
| 1772 |
+
1709 0.001600
|
| 1773 |
+
1710 0.001200
|
| 1774 |
+
1711 0.001200
|
| 1775 |
+
1712 0.014700
|
| 1776 |
+
1713 0.009800
|
| 1777 |
+
1714 0.001000
|
| 1778 |
+
1715 0.008600
|
| 1779 |
+
1716 0.009800
|
| 1780 |
+
1717 0.020800
|
| 1781 |
+
1718 0.000800
|
| 1782 |
+
1719 0.007900
|
| 1783 |
+
1720 0.043000
|
| 1784 |
+
1721 0.004300
|
| 1785 |
+
1722 0.003700
|
| 1786 |
+
1723 0.000800
|
| 1787 |
+
1724 0.000800
|
| 1788 |
+
1725 0.007800
|
| 1789 |
+
1726 0.017700
|
| 1790 |
+
1727 0.000900
|
| 1791 |
+
1728 0.006400
|
| 1792 |
+
1729 0.000900
|
| 1793 |
+
1730 0.005000
|
| 1794 |
+
1731 0.003000
|
| 1795 |
+
1732 0.000600
|
| 1796 |
+
1733 0.004400
|
| 1797 |
+
1734 0.004400
|
| 1798 |
+
1735 0.013200
|
| 1799 |
+
1736 0.009200
|
| 1800 |
+
1737 0.000600
|
| 1801 |
+
1738 0.013100
|
| 1802 |
+
1739 0.011300
|
| 1803 |
+
1740 0.009400
|
| 1804 |
+
1741 0.000600
|
| 1805 |
+
1742 0.000600
|
| 1806 |
+
1743 0.000600
|
| 1807 |
+
1744 0.000600
|
| 1808 |
+
1745 0.003000
|
| 1809 |
+
1746 0.041600
|
| 1810 |
+
1747 0.011400
|
| 1811 |
+
1748 0.013500
|
| 1812 |
+
1749 0.004400
|
| 1813 |
+
1750 0.009000
|
| 1814 |
+
1751 0.000700
|
| 1815 |
+
1752 0.009000
|
| 1816 |
+
1753 0.003800
|
| 1817 |
+
1754 0.003800
|
| 1818 |
+
1755 0.003800
|
| 1819 |
+
```
|