marcchew commited on
Commit
0236ad3
·
1 Parent(s): 439858f

End of training

Browse files
README.md ADDED
@@ -0,0 +1,683 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: jeff31415/TinyLlama-1.1B-1T-OpenOrca
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: results
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # results
15
+
16
+ This model is a fine-tuned version of [jeff31415/TinyLlama-1.1B-1T-OpenOrca](https://huggingface.co/jeff31415/TinyLlama-1.1B-1T-OpenOrca) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 1.1667
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 3e-07
38
+ - train_batch_size: 20
39
+ - eval_batch_size: 4
40
+ - seed: 42
41
+ - gradient_accumulation_steps: 2
42
+ - total_train_batch_size: 40
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - num_epochs: 1
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:-----:|:----:|:---------------:|
51
+ | 2.6285 | 0.0 | 4 | 2.4698 |
52
+ | 2.6222 | 0.0 | 8 | 2.4660 |
53
+ | 2.6536 | 0.0 | 12 | 2.4604 |
54
+ | 2.6785 | 0.01 | 16 | 2.4557 |
55
+ | 2.6085 | 0.01 | 20 | 2.4515 |
56
+ | 2.5907 | 0.01 | 24 | 2.4463 |
57
+ | 2.5942 | 0.01 | 28 | 2.4415 |
58
+ | 2.6101 | 0.01 | 32 | 2.4372 |
59
+ | 2.5827 | 0.01 | 36 | 2.4327 |
60
+ | 2.5729 | 0.02 | 40 | 2.4281 |
61
+ | 2.5856 | 0.02 | 44 | 2.4231 |
62
+ | 2.589 | 0.02 | 48 | 2.4186 |
63
+ | 2.6483 | 0.02 | 52 | 2.4145 |
64
+ | 2.517 | 0.02 | 56 | 2.4095 |
65
+ | 2.5987 | 0.02 | 60 | 2.4050 |
66
+ | 2.5489 | 0.03 | 64 | 2.4004 |
67
+ | 2.5063 | 0.03 | 68 | 2.3965 |
68
+ | 2.5867 | 0.03 | 72 | 2.3916 |
69
+ | 2.544 | 0.03 | 76 | 2.3873 |
70
+ | 2.5596 | 0.03 | 80 | 2.3828 |
71
+ | 2.5744 | 0.03 | 84 | 2.3786 |
72
+ | 2.5588 | 0.04 | 88 | 2.3742 |
73
+ | 2.5579 | 0.04 | 92 | 2.3702 |
74
+ | 2.5245 | 0.04 | 96 | 2.3660 |
75
+ | 2.5132 | 0.04 | 100 | 2.3611 |
76
+ | 2.5037 | 0.04 | 104 | 2.3570 |
77
+ | 2.4727 | 0.04 | 108 | 2.3531 |
78
+ | 2.4709 | 0.04 | 112 | 2.3488 |
79
+ | 2.4711 | 0.05 | 116 | 2.3445 |
80
+ | 2.5445 | 0.05 | 120 | 2.3402 |
81
+ | 2.4994 | 0.05 | 124 | 2.3362 |
82
+ | 2.5036 | 0.05 | 128 | 2.3319 |
83
+ | 2.5525 | 0.05 | 132 | 2.3277 |
84
+ | 2.5245 | 0.05 | 136 | 2.3241 |
85
+ | 2.4946 | 0.06 | 140 | 2.3198 |
86
+ | 2.5142 | 0.06 | 144 | 2.3153 |
87
+ | 2.4639 | 0.06 | 148 | 2.3113 |
88
+ | 2.4796 | 0.06 | 152 | 2.3070 |
89
+ | 2.4529 | 0.06 | 156 | 2.3031 |
90
+ | 2.4823 | 0.06 | 160 | 2.2993 |
91
+ | 2.4439 | 0.07 | 164 | 2.2948 |
92
+ | 2.4652 | 0.07 | 168 | 2.2909 |
93
+ | 2.4574 | 0.07 | 172 | 2.2867 |
94
+ | 2.4557 | 0.07 | 176 | 2.2830 |
95
+ | 2.4462 | 0.07 | 180 | 2.2787 |
96
+ | 2.3962 | 0.07 | 184 | 2.2745 |
97
+ | 2.3666 | 0.08 | 188 | 2.2706 |
98
+ | 2.5024 | 0.08 | 192 | 2.2670 |
99
+ | 2.4419 | 0.08 | 196 | 2.2627 |
100
+ | 2.4246 | 0.08 | 200 | 2.2584 |
101
+ | 2.3853 | 0.08 | 204 | 2.2552 |
102
+ | 2.4032 | 0.08 | 208 | 2.2511 |
103
+ | 2.4444 | 0.08 | 212 | 2.2470 |
104
+ | 2.2932 | 0.09 | 216 | 2.2428 |
105
+ | 2.3929 | 0.09 | 220 | 2.2391 |
106
+ | 2.4112 | 0.09 | 224 | 2.2350 |
107
+ | 2.4191 | 0.09 | 228 | 2.2311 |
108
+ | 2.4408 | 0.09 | 232 | 2.2272 |
109
+ | 2.3884 | 0.09 | 236 | 2.2234 |
110
+ | 2.3689 | 0.1 | 240 | 2.2196 |
111
+ | 2.3689 | 0.1 | 244 | 2.2154 |
112
+ | 2.3249 | 0.1 | 248 | 2.2114 |
113
+ | 2.4286 | 0.1 | 252 | 2.2078 |
114
+ | 2.3497 | 0.1 | 256 | 2.2039 |
115
+ | 2.284 | 0.1 | 260 | 2.1999 |
116
+ | 2.3333 | 0.11 | 264 | 2.1958 |
117
+ | 2.3305 | 0.11 | 268 | 2.1921 |
118
+ | 2.3465 | 0.11 | 272 | 2.1882 |
119
+ | 2.3274 | 0.11 | 276 | 2.1841 |
120
+ | 2.3641 | 0.11 | 280 | 2.1803 |
121
+ | 2.3089 | 0.11 | 284 | 2.1763 |
122
+ | 2.2645 | 0.12 | 288 | 2.1721 |
123
+ | 2.3439 | 0.12 | 292 | 2.1687 |
124
+ | 2.3285 | 0.12 | 296 | 2.1649 |
125
+ | 2.3126 | 0.12 | 300 | 2.1604 |
126
+ | 2.3356 | 0.12 | 304 | 2.1570 |
127
+ | 2.3396 | 0.12 | 308 | 2.1527 |
128
+ | 2.2972 | 0.12 | 312 | 2.1487 |
129
+ | 2.3321 | 0.13 | 316 | 2.1450 |
130
+ | 2.3348 | 0.13 | 320 | 2.1415 |
131
+ | 2.2728 | 0.13 | 324 | 2.1374 |
132
+ | 2.287 | 0.13 | 328 | 2.1334 |
133
+ | 2.2474 | 0.13 | 332 | 2.1298 |
134
+ | 2.3214 | 0.13 | 336 | 2.1264 |
135
+ | 2.2725 | 0.14 | 340 | 2.1223 |
136
+ | 2.3114 | 0.14 | 344 | 2.1183 |
137
+ | 2.2333 | 0.14 | 348 | 2.1146 |
138
+ | 2.2812 | 0.14 | 352 | 2.1107 |
139
+ | 2.2454 | 0.14 | 356 | 2.1069 |
140
+ | 2.2261 | 0.14 | 360 | 2.1032 |
141
+ | 2.2841 | 0.15 | 364 | 2.0989 |
142
+ | 2.2481 | 0.15 | 368 | 2.0952 |
143
+ | 2.278 | 0.15 | 372 | 2.0912 |
144
+ | 2.2765 | 0.15 | 376 | 2.0873 |
145
+ | 2.2232 | 0.15 | 380 | 2.0833 |
146
+ | 2.306 | 0.15 | 384 | 2.0795 |
147
+ | 2.2126 | 0.16 | 388 | 2.0760 |
148
+ | 2.2557 | 0.16 | 392 | 2.0721 |
149
+ | 2.1988 | 0.16 | 396 | 2.0684 |
150
+ | 2.1917 | 0.16 | 400 | 2.0639 |
151
+ | 2.2479 | 0.16 | 404 | 2.0599 |
152
+ | 2.1484 | 0.16 | 408 | 2.0558 |
153
+ | 2.1886 | 0.16 | 412 | 2.0521 |
154
+ | 2.2026 | 0.17 | 416 | 2.0482 |
155
+ | 2.1572 | 0.17 | 420 | 2.0442 |
156
+ | 2.1931 | 0.17 | 424 | 2.0400 |
157
+ | 2.161 | 0.17 | 428 | 2.0365 |
158
+ | 2.1115 | 0.17 | 432 | 2.0322 |
159
+ | 2.173 | 0.17 | 436 | 2.0284 |
160
+ | 2.1491 | 0.18 | 440 | 2.0247 |
161
+ | 2.1716 | 0.18 | 444 | 2.0204 |
162
+ | 2.2031 | 0.18 | 448 | 2.0165 |
163
+ | 2.1466 | 0.18 | 452 | 2.0126 |
164
+ | 2.1384 | 0.18 | 456 | 2.0088 |
165
+ | 2.1824 | 0.18 | 460 | 2.0048 |
166
+ | 2.1401 | 0.19 | 464 | 2.0006 |
167
+ | 2.2086 | 0.19 | 468 | 1.9969 |
168
+ | 2.1687 | 0.19 | 472 | 1.9926 |
169
+ | 2.145 | 0.19 | 476 | 1.9888 |
170
+ | 2.2007 | 0.19 | 480 | 1.9850 |
171
+ | 2.1367 | 0.19 | 484 | 1.9808 |
172
+ | 2.1291 | 0.2 | 488 | 1.9768 |
173
+ | 2.1124 | 0.2 | 492 | 1.9729 |
174
+ | 2.0738 | 0.2 | 496 | 1.9689 |
175
+ | 2.1048 | 0.2 | 500 | 1.9646 |
176
+ | 2.0995 | 0.2 | 504 | 1.9607 |
177
+ | 2.0816 | 0.2 | 508 | 1.9568 |
178
+ | 2.0969 | 0.2 | 512 | 1.9527 |
179
+ | 2.1034 | 0.21 | 516 | 1.9484 |
180
+ | 2.0654 | 0.21 | 520 | 1.9442 |
181
+ | 2.1175 | 0.21 | 524 | 1.9404 |
182
+ | 2.0829 | 0.21 | 528 | 1.9363 |
183
+ | 2.0973 | 0.21 | 532 | 1.9322 |
184
+ | 2.0439 | 0.21 | 536 | 1.9278 |
185
+ | 2.0791 | 0.22 | 540 | 1.9239 |
186
+ | 2.0988 | 0.22 | 544 | 1.9203 |
187
+ | 2.0179 | 0.22 | 548 | 1.9160 |
188
+ | 2.0452 | 0.22 | 552 | 1.9119 |
189
+ | 1.9792 | 0.22 | 556 | 1.9079 |
190
+ | 1.9862 | 0.22 | 560 | 1.9032 |
191
+ | 2.0176 | 0.23 | 564 | 1.8994 |
192
+ | 2.0066 | 0.23 | 568 | 1.8954 |
193
+ | 2.0333 | 0.23 | 572 | 1.8914 |
194
+ | 2.0316 | 0.23 | 576 | 1.8871 |
195
+ | 2.0114 | 0.23 | 580 | 1.8828 |
196
+ | 2.0093 | 0.23 | 584 | 1.8789 |
197
+ | 1.9829 | 0.24 | 588 | 1.8749 |
198
+ | 1.971 | 0.24 | 592 | 1.8706 |
199
+ | 2.0188 | 0.24 | 596 | 1.8668 |
200
+ | 2.0081 | 0.24 | 600 | 1.8628 |
201
+ | 2.0014 | 0.24 | 604 | 1.8587 |
202
+ | 1.9741 | 0.24 | 608 | 1.8544 |
203
+ | 1.9828 | 0.24 | 612 | 1.8505 |
204
+ | 1.9481 | 0.25 | 616 | 1.8463 |
205
+ | 1.9584 | 0.25 | 620 | 1.8424 |
206
+ | 1.9449 | 0.25 | 624 | 1.8381 |
207
+ | 1.9753 | 0.25 | 628 | 1.8343 |
208
+ | 2.0055 | 0.25 | 632 | 1.8300 |
209
+ | 1.98 | 0.25 | 636 | 1.8261 |
210
+ | 1.9757 | 0.26 | 640 | 1.8223 |
211
+ | 1.9683 | 0.26 | 644 | 1.8182 |
212
+ | 1.926 | 0.26 | 648 | 1.8141 |
213
+ | 1.9454 | 0.26 | 652 | 1.8101 |
214
+ | 1.9352 | 0.26 | 656 | 1.8059 |
215
+ | 1.8816 | 0.26 | 660 | 1.8021 |
216
+ | 1.9182 | 0.27 | 664 | 1.7980 |
217
+ | 1.9659 | 0.27 | 668 | 1.7941 |
218
+ | 1.8932 | 0.27 | 672 | 1.7901 |
219
+ | 1.8608 | 0.27 | 676 | 1.7861 |
220
+ | 1.941 | 0.27 | 680 | 1.7824 |
221
+ | 1.8854 | 0.27 | 684 | 1.7785 |
222
+ | 1.8912 | 0.28 | 688 | 1.7743 |
223
+ | 1.8667 | 0.28 | 692 | 1.7707 |
224
+ | 1.912 | 0.28 | 696 | 1.7666 |
225
+ | 1.9009 | 0.28 | 700 | 1.7628 |
226
+ | 1.906 | 0.28 | 704 | 1.7589 |
227
+ | 1.8671 | 0.28 | 708 | 1.7550 |
228
+ | 1.8609 | 0.28 | 712 | 1.7508 |
229
+ | 1.8485 | 0.29 | 716 | 1.7469 |
230
+ | 1.8334 | 0.29 | 720 | 1.7431 |
231
+ | 1.8763 | 0.29 | 724 | 1.7392 |
232
+ | 1.9005 | 0.29 | 728 | 1.7355 |
233
+ | 1.8669 | 0.29 | 732 | 1.7315 |
234
+ | 1.8984 | 0.29 | 736 | 1.7276 |
235
+ | 1.8074 | 0.3 | 740 | 1.7241 |
236
+ | 1.8614 | 0.3 | 744 | 1.7202 |
237
+ | 1.8211 | 0.3 | 748 | 1.7165 |
238
+ | 1.8553 | 0.3 | 752 | 1.7124 |
239
+ | 1.7978 | 0.3 | 756 | 1.7085 |
240
+ | 1.8203 | 0.3 | 760 | 1.7048 |
241
+ | 1.8192 | 0.31 | 764 | 1.7010 |
242
+ | 1.8532 | 0.31 | 768 | 1.6974 |
243
+ | 1.8307 | 0.31 | 772 | 1.6935 |
244
+ | 1.8207 | 0.31 | 776 | 1.6896 |
245
+ | 1.7895 | 0.31 | 780 | 1.6858 |
246
+ | 1.7976 | 0.31 | 784 | 1.6821 |
247
+ | 1.814 | 0.32 | 788 | 1.6785 |
248
+ | 1.7972 | 0.32 | 792 | 1.6748 |
249
+ | 1.8258 | 0.32 | 796 | 1.6714 |
250
+ | 1.79 | 0.32 | 800 | 1.6674 |
251
+ | 1.802 | 0.32 | 804 | 1.6640 |
252
+ | 1.7784 | 0.32 | 808 | 1.6603 |
253
+ | 1.7671 | 0.32 | 812 | 1.6569 |
254
+ | 1.7618 | 0.33 | 816 | 1.6535 |
255
+ | 1.8207 | 0.33 | 820 | 1.6503 |
256
+ | 1.7837 | 0.33 | 824 | 1.6467 |
257
+ | 1.8066 | 0.33 | 828 | 1.6439 |
258
+ | 1.7814 | 0.33 | 832 | 1.6407 |
259
+ | 1.7244 | 0.33 | 836 | 1.6373 |
260
+ | 1.7195 | 0.34 | 840 | 1.6342 |
261
+ | 1.7524 | 0.34 | 844 | 1.6310 |
262
+ | 1.7644 | 0.34 | 848 | 1.6279 |
263
+ | 1.7171 | 0.34 | 852 | 1.6245 |
264
+ | 1.7418 | 0.34 | 856 | 1.6212 |
265
+ | 1.7337 | 0.34 | 860 | 1.6180 |
266
+ | 1.7441 | 0.35 | 864 | 1.6148 |
267
+ | 1.694 | 0.35 | 868 | 1.6115 |
268
+ | 1.7601 | 0.35 | 872 | 1.6083 |
269
+ | 1.7081 | 0.35 | 876 | 1.6050 |
270
+ | 1.7101 | 0.35 | 880 | 1.6020 |
271
+ | 1.7271 | 0.35 | 884 | 1.5990 |
272
+ | 1.7402 | 0.36 | 888 | 1.5954 |
273
+ | 1.7125 | 0.36 | 892 | 1.5922 |
274
+ | 1.6949 | 0.36 | 896 | 1.5888 |
275
+ | 1.7145 | 0.36 | 900 | 1.5858 |
276
+ | 1.6665 | 0.36 | 904 | 1.5824 |
277
+ | 1.6929 | 0.36 | 908 | 1.5796 |
278
+ | 1.7068 | 0.36 | 912 | 1.5766 |
279
+ | 1.6877 | 0.37 | 916 | 1.5734 |
280
+ | 1.6718 | 0.37 | 920 | 1.5706 |
281
+ | 1.6886 | 0.37 | 924 | 1.5676 |
282
+ | 1.7459 | 0.37 | 928 | 1.5646 |
283
+ | 1.6596 | 0.37 | 932 | 1.5617 |
284
+ | 1.6689 | 0.37 | 936 | 1.5588 |
285
+ | 1.6744 | 0.38 | 940 | 1.5561 |
286
+ | 1.7009 | 0.38 | 944 | 1.5533 |
287
+ | 1.6651 | 0.38 | 948 | 1.5505 |
288
+ | 1.6821 | 0.38 | 952 | 1.5479 |
289
+ | 1.6453 | 0.38 | 956 | 1.5453 |
290
+ | 1.6624 | 0.38 | 960 | 1.5426 |
291
+ | 1.6453 | 0.39 | 964 | 1.5402 |
292
+ | 1.6451 | 0.39 | 968 | 1.5377 |
293
+ | 1.6627 | 0.39 | 972 | 1.5353 |
294
+ | 1.6423 | 0.39 | 976 | 1.5326 |
295
+ | 1.652 | 0.39 | 980 | 1.5302 |
296
+ | 1.6414 | 0.39 | 984 | 1.5278 |
297
+ | 1.6107 | 0.4 | 988 | 1.5253 |
298
+ | 1.6599 | 0.4 | 992 | 1.5225 |
299
+ | 1.6326 | 0.4 | 996 | 1.5202 |
300
+ | 1.6324 | 0.4 | 1000 | 1.5175 |
301
+ | 1.5907 | 0.4 | 1004 | 1.5149 |
302
+ | 1.6465 | 0.4 | 1008 | 1.5124 |
303
+ | 1.6148 | 0.4 | 1012 | 1.5102 |
304
+ | 1.6064 | 0.41 | 1016 | 1.5074 |
305
+ | 1.6342 | 0.41 | 1020 | 1.5053 |
306
+ | 1.605 | 0.41 | 1024 | 1.5025 |
307
+ | 1.6121 | 0.41 | 1028 | 1.5003 |
308
+ | 1.617 | 0.41 | 1032 | 1.4978 |
309
+ | 1.5897 | 0.41 | 1036 | 1.4955 |
310
+ | 1.6022 | 0.42 | 1040 | 1.4930 |
311
+ | 1.5748 | 0.42 | 1044 | 1.4903 |
312
+ | 1.5974 | 0.42 | 1048 | 1.4879 |
313
+ | 1.6126 | 0.42 | 1052 | 1.4855 |
314
+ | 1.6189 | 0.42 | 1056 | 1.4828 |
315
+ | 1.5916 | 0.42 | 1060 | 1.4804 |
316
+ | 1.5938 | 0.43 | 1064 | 1.4779 |
317
+ | 1.6026 | 0.43 | 1068 | 1.4756 |
318
+ | 1.5687 | 0.43 | 1072 | 1.4735 |
319
+ | 1.5413 | 0.43 | 1076 | 1.4712 |
320
+ | 1.5778 | 0.43 | 1080 | 1.4689 |
321
+ | 1.5731 | 0.43 | 1084 | 1.4664 |
322
+ | 1.5625 | 0.44 | 1088 | 1.4642 |
323
+ | 1.55 | 0.44 | 1092 | 1.4621 |
324
+ | 1.5852 | 0.44 | 1096 | 1.4599 |
325
+ | 1.5614 | 0.44 | 1100 | 1.4579 |
326
+ | 1.5619 | 0.44 | 1104 | 1.4560 |
327
+ | 1.5658 | 0.44 | 1108 | 1.4542 |
328
+ | 1.5699 | 0.44 | 1112 | 1.4521 |
329
+ | 1.5738 | 0.45 | 1116 | 1.4502 |
330
+ | 1.5823 | 0.45 | 1120 | 1.4481 |
331
+ | 1.5425 | 0.45 | 1124 | 1.4459 |
332
+ | 1.5604 | 0.45 | 1128 | 1.4438 |
333
+ | 1.5562 | 0.45 | 1132 | 1.4420 |
334
+ | 1.555 | 0.45 | 1136 | 1.4399 |
335
+ | 1.5158 | 0.46 | 1140 | 1.4380 |
336
+ | 1.5272 | 0.46 | 1144 | 1.4359 |
337
+ | 1.5467 | 0.46 | 1148 | 1.4339 |
338
+ | 1.5399 | 0.46 | 1152 | 1.4317 |
339
+ | 1.5221 | 0.46 | 1156 | 1.4297 |
340
+ | 1.5022 | 0.46 | 1160 | 1.4277 |
341
+ | 1.5385 | 0.47 | 1164 | 1.4257 |
342
+ | 1.5042 | 0.47 | 1168 | 1.4236 |
343
+ | 1.5007 | 0.47 | 1172 | 1.4217 |
344
+ | 1.5323 | 0.47 | 1176 | 1.4196 |
345
+ | 1.5269 | 0.47 | 1180 | 1.4174 |
346
+ | 1.5379 | 0.47 | 1184 | 1.4156 |
347
+ | 1.522 | 0.48 | 1188 | 1.4137 |
348
+ | 1.506 | 0.48 | 1192 | 1.4116 |
349
+ | 1.4986 | 0.48 | 1196 | 1.4096 |
350
+ | 1.4918 | 0.48 | 1200 | 1.4075 |
351
+ | 1.5124 | 0.48 | 1204 | 1.4056 |
352
+ | 1.4926 | 0.48 | 1208 | 1.4038 |
353
+ | 1.5053 | 0.48 | 1212 | 1.4015 |
354
+ | 1.5043 | 0.49 | 1216 | 1.3996 |
355
+ | 1.5068 | 0.49 | 1220 | 1.3976 |
356
+ | 1.5039 | 0.49 | 1224 | 1.3955 |
357
+ | 1.4772 | 0.49 | 1228 | 1.3933 |
358
+ | 1.4873 | 0.49 | 1232 | 1.3916 |
359
+ | 1.4977 | 0.49 | 1236 | 1.3896 |
360
+ | 1.5016 | 0.5 | 1240 | 1.3873 |
361
+ | 1.495 | 0.5 | 1244 | 1.3854 |
362
+ | 1.4803 | 0.5 | 1248 | 1.3835 |
363
+ | 1.4842 | 0.5 | 1252 | 1.3816 |
364
+ | 1.4762 | 0.5 | 1256 | 1.3799 |
365
+ | 1.4859 | 0.5 | 1260 | 1.3781 |
366
+ | 1.4948 | 0.51 | 1264 | 1.3764 |
367
+ | 1.4851 | 0.51 | 1268 | 1.3743 |
368
+ | 1.4749 | 0.51 | 1272 | 1.3724 |
369
+ | 1.4594 | 0.51 | 1276 | 1.3709 |
370
+ | 1.4517 | 0.51 | 1280 | 1.3692 |
371
+ | 1.4239 | 0.51 | 1284 | 1.3673 |
372
+ | 1.4775 | 0.52 | 1288 | 1.3657 |
373
+ | 1.4483 | 0.52 | 1292 | 1.3643 |
374
+ | 1.4688 | 0.52 | 1296 | 1.3624 |
375
+ | 1.4566 | 0.52 | 1300 | 1.3608 |
376
+ | 1.4592 | 0.52 | 1304 | 1.3592 |
377
+ | 1.4505 | 0.52 | 1308 | 1.3573 |
378
+ | 1.4304 | 0.52 | 1312 | 1.3557 |
379
+ | 1.4691 | 0.53 | 1316 | 1.3541 |
380
+ | 1.4423 | 0.53 | 1320 | 1.3522 |
381
+ | 1.4301 | 0.53 | 1324 | 1.3508 |
382
+ | 1.4422 | 0.53 | 1328 | 1.3491 |
383
+ | 1.4577 | 0.53 | 1332 | 1.3475 |
384
+ | 1.4541 | 0.53 | 1336 | 1.3458 |
385
+ | 1.4246 | 0.54 | 1340 | 1.3440 |
386
+ | 1.4507 | 0.54 | 1344 | 1.3424 |
387
+ | 1.4312 | 0.54 | 1348 | 1.3408 |
388
+ | 1.4394 | 0.54 | 1352 | 1.3392 |
389
+ | 1.4271 | 0.54 | 1356 | 1.3374 |
390
+ | 1.4081 | 0.54 | 1360 | 1.3357 |
391
+ | 1.4314 | 0.55 | 1364 | 1.3339 |
392
+ | 1.4359 | 0.55 | 1368 | 1.3326 |
393
+ | 1.4381 | 0.55 | 1372 | 1.3308 |
394
+ | 1.4219 | 0.55 | 1376 | 1.3294 |
395
+ | 1.4669 | 0.55 | 1380 | 1.3279 |
396
+ | 1.4163 | 0.55 | 1384 | 1.3260 |
397
+ | 1.4153 | 0.56 | 1388 | 1.3242 |
398
+ | 1.4506 | 0.56 | 1392 | 1.3230 |
399
+ | 1.4229 | 0.56 | 1396 | 1.3213 |
400
+ | 1.4218 | 0.56 | 1400 | 1.3196 |
401
+ | 1.4185 | 0.56 | 1404 | 1.3181 |
402
+ | 1.4283 | 0.56 | 1408 | 1.3164 |
403
+ | 1.4202 | 0.56 | 1412 | 1.3148 |
404
+ | 1.3736 | 0.57 | 1416 | 1.3131 |
405
+ | 1.4332 | 0.57 | 1420 | 1.3116 |
406
+ | 1.4287 | 0.57 | 1424 | 1.3099 |
407
+ | 1.4175 | 0.57 | 1428 | 1.3081 |
408
+ | 1.4152 | 0.57 | 1432 | 1.3066 |
409
+ | 1.4036 | 0.57 | 1436 | 1.3054 |
410
+ | 1.4033 | 0.58 | 1440 | 1.3038 |
411
+ | 1.4095 | 0.58 | 1444 | 1.3023 |
412
+ | 1.4129 | 0.58 | 1448 | 1.3008 |
413
+ | 1.3838 | 0.58 | 1452 | 1.2995 |
414
+ | 1.3939 | 0.58 | 1456 | 1.2980 |
415
+ | 1.4023 | 0.58 | 1460 | 1.2964 |
416
+ | 1.3751 | 0.59 | 1464 | 1.2953 |
417
+ | 1.3657 | 0.59 | 1468 | 1.2935 |
418
+ | 1.375 | 0.59 | 1472 | 1.2927 |
419
+ | 1.3846 | 0.59 | 1476 | 1.2911 |
420
+ | 1.4192 | 0.59 | 1480 | 1.2901 |
421
+ | 1.3629 | 0.59 | 1484 | 1.2886 |
422
+ | 1.3947 | 0.6 | 1488 | 1.2877 |
423
+ | 1.3485 | 0.6 | 1492 | 1.2863 |
424
+ | 1.405 | 0.6 | 1496 | 1.2850 |
425
+ | 1.3758 | 0.6 | 1500 | 1.2841 |
426
+ | 1.3832 | 0.6 | 1504 | 1.2828 |
427
+ | 1.3314 | 0.6 | 1508 | 1.2814 |
428
+ | 1.3458 | 0.6 | 1512 | 1.2800 |
429
+ | 1.357 | 0.61 | 1516 | 1.2792 |
430
+ | 1.3808 | 0.61 | 1520 | 1.2778 |
431
+ | 1.3692 | 0.61 | 1524 | 1.2765 |
432
+ | 1.3763 | 0.61 | 1528 | 1.2754 |
433
+ | 1.3505 | 0.61 | 1532 | 1.2741 |
434
+ | 1.3579 | 0.61 | 1536 | 1.2731 |
435
+ | 1.3567 | 0.62 | 1540 | 1.2717 |
436
+ | 1.3608 | 0.62 | 1544 | 1.2705 |
437
+ | 1.3895 | 0.62 | 1548 | 1.2692 |
438
+ | 1.3614 | 0.62 | 1552 | 1.2682 |
439
+ | 1.3643 | 0.62 | 1556 | 1.2672 |
440
+ | 1.3537 | 0.62 | 1560 | 1.2658 |
441
+ | 1.3564 | 0.63 | 1564 | 1.2648 |
442
+ | 1.3433 | 0.63 | 1568 | 1.2634 |
443
+ | 1.3805 | 0.63 | 1572 | 1.2625 |
444
+ | 1.3309 | 0.63 | 1576 | 1.2612 |
445
+ | 1.3408 | 0.63 | 1580 | 1.2600 |
446
+ | 1.3505 | 0.63 | 1584 | 1.2591 |
447
+ | 1.355 | 0.64 | 1588 | 1.2582 |
448
+ | 1.3426 | 0.64 | 1592 | 1.2570 |
449
+ | 1.3476 | 0.64 | 1596 | 1.2556 |
450
+ | 1.3448 | 0.64 | 1600 | 1.2546 |
451
+ | 1.3702 | 0.64 | 1604 | 1.2532 |
452
+ | 1.3198 | 0.64 | 1608 | 1.2522 |
453
+ | 1.3565 | 0.64 | 1612 | 1.2511 |
454
+ | 1.3496 | 0.65 | 1616 | 1.2499 |
455
+ | 1.3346 | 0.65 | 1620 | 1.2490 |
456
+ | 1.3097 | 0.65 | 1624 | 1.2477 |
457
+ | 1.3224 | 0.65 | 1628 | 1.2468 |
458
+ | 1.321 | 0.65 | 1632 | 1.2455 |
459
+ | 1.3069 | 0.65 | 1636 | 1.2446 |
460
+ | 1.3358 | 0.66 | 1640 | 1.2436 |
461
+ | 1.3413 | 0.66 | 1644 | 1.2427 |
462
+ | 1.3328 | 0.66 | 1648 | 1.2416 |
463
+ | 1.341 | 0.66 | 1652 | 1.2406 |
464
+ | 1.3022 | 0.66 | 1656 | 1.2396 |
465
+ | 1.3309 | 0.66 | 1660 | 1.2386 |
466
+ | 1.3099 | 0.67 | 1664 | 1.2377 |
467
+ | 1.2979 | 0.67 | 1668 | 1.2368 |
468
+ | 1.3219 | 0.67 | 1672 | 1.2358 |
469
+ | 1.328 | 0.67 | 1676 | 1.2349 |
470
+ | 1.3161 | 0.67 | 1680 | 1.2339 |
471
+ | 1.3435 | 0.67 | 1684 | 1.2329 |
472
+ | 1.3191 | 0.68 | 1688 | 1.2323 |
473
+ | 1.3427 | 0.68 | 1692 | 1.2314 |
474
+ | 1.3157 | 0.68 | 1696 | 1.2307 |
475
+ | 1.31 | 0.68 | 1700 | 1.2298 |
476
+ | 1.3418 | 0.68 | 1704 | 1.2287 |
477
+ | 1.3051 | 0.68 | 1708 | 1.2280 |
478
+ | 1.3453 | 0.68 | 1712 | 1.2271 |
479
+ | 1.3146 | 0.69 | 1716 | 1.2261 |
480
+ | 1.2961 | 0.69 | 1720 | 1.2255 |
481
+ | 1.2989 | 0.69 | 1724 | 1.2248 |
482
+ | 1.314 | 0.69 | 1728 | 1.2239 |
483
+ | 1.3137 | 0.69 | 1732 | 1.2232 |
484
+ | 1.323 | 0.69 | 1736 | 1.2221 |
485
+ | 1.3194 | 0.7 | 1740 | 1.2216 |
486
+ | 1.2857 | 0.7 | 1744 | 1.2206 |
487
+ | 1.3101 | 0.7 | 1748 | 1.2199 |
488
+ | 1.2962 | 0.7 | 1752 | 1.2194 |
489
+ | 1.2927 | 0.7 | 1756 | 1.2186 |
490
+ | 1.2728 | 0.7 | 1760 | 1.2179 |
491
+ | 1.2903 | 0.71 | 1764 | 1.2170 |
492
+ | 1.3108 | 0.71 | 1768 | 1.2164 |
493
+ | 1.2899 | 0.71 | 1772 | 1.2156 |
494
+ | 1.2996 | 0.71 | 1776 | 1.2149 |
495
+ | 1.2865 | 0.71 | 1780 | 1.2141 |
496
+ | 1.3004 | 0.71 | 1784 | 1.2135 |
497
+ | 1.2916 | 0.72 | 1788 | 1.2128 |
498
+ | 1.2975 | 0.72 | 1792 | 1.2119 |
499
+ | 1.3071 | 0.72 | 1796 | 1.2114 |
500
+ | 1.2793 | 0.72 | 1800 | 1.2106 |
501
+ | 1.2755 | 0.72 | 1804 | 1.2098 |
502
+ | 1.2968 | 0.72 | 1808 | 1.2093 |
503
+ | 1.3226 | 0.72 | 1812 | 1.2085 |
504
+ | 1.3117 | 0.73 | 1816 | 1.2079 |
505
+ | 1.2957 | 0.73 | 1820 | 1.2073 |
506
+ | 1.2885 | 0.73 | 1824 | 1.2066 |
507
+ | 1.2731 | 0.73 | 1828 | 1.2057 |
508
+ | 1.2821 | 0.73 | 1832 | 1.2051 |
509
+ | 1.2944 | 0.73 | 1836 | 1.2045 |
510
+ | 1.2768 | 0.74 | 1840 | 1.2040 |
511
+ | 1.2917 | 0.74 | 1844 | 1.2034 |
512
+ | 1.2935 | 0.74 | 1848 | 1.2027 |
513
+ | 1.268 | 0.74 | 1852 | 1.2023 |
514
+ | 1.2761 | 0.74 | 1856 | 1.2016 |
515
+ | 1.3107 | 0.74 | 1860 | 1.2010 |
516
+ | 1.2752 | 0.75 | 1864 | 1.2004 |
517
+ | 1.2661 | 0.75 | 1868 | 1.1997 |
518
+ | 1.2985 | 0.75 | 1872 | 1.1991 |
519
+ | 1.2801 | 0.75 | 1876 | 1.1985 |
520
+ | 1.2775 | 0.75 | 1880 | 1.1980 |
521
+ | 1.2741 | 0.75 | 1884 | 1.1976 |
522
+ | 1.2747 | 0.76 | 1888 | 1.1972 |
523
+ | 1.2772 | 0.76 | 1892 | 1.1964 |
524
+ | 1.2953 | 0.76 | 1896 | 1.1961 |
525
+ | 1.3052 | 0.76 | 1900 | 1.1958 |
526
+ | 1.2505 | 0.76 | 1904 | 1.1951 |
527
+ | 1.3088 | 0.76 | 1908 | 1.1945 |
528
+ | 1.2705 | 0.76 | 1912 | 1.1939 |
529
+ | 1.2606 | 0.77 | 1916 | 1.1934 |
530
+ | 1.2729 | 0.77 | 1920 | 1.1932 |
531
+ | 1.2642 | 0.77 | 1924 | 1.1927 |
532
+ | 1.2903 | 0.77 | 1928 | 1.1920 |
533
+ | 1.2688 | 0.77 | 1932 | 1.1918 |
534
+ | 1.2677 | 0.77 | 1936 | 1.1909 |
535
+ | 1.2747 | 0.78 | 1940 | 1.1905 |
536
+ | 1.2512 | 0.78 | 1944 | 1.1902 |
537
+ | 1.2651 | 0.78 | 1948 | 1.1898 |
538
+ | 1.2655 | 0.78 | 1952 | 1.1893 |
539
+ | 1.2617 | 0.78 | 1956 | 1.1888 |
540
+ | 1.2764 | 0.78 | 1960 | 1.1885 |
541
+ | 1.2531 | 0.79 | 1964 | 1.1883 |
542
+ | 1.2911 | 0.79 | 1968 | 1.1874 |
543
+ | 1.2616 | 0.79 | 1972 | 1.1871 |
544
+ | 1.2537 | 0.79 | 1976 | 1.1869 |
545
+ | 1.2548 | 0.79 | 1980 | 1.1864 |
546
+ | 1.2722 | 0.79 | 1984 | 1.1861 |
547
+ | 1.2717 | 0.8 | 1988 | 1.1858 |
548
+ | 1.281 | 0.8 | 1992 | 1.1854 |
549
+ | 1.2766 | 0.8 | 1996 | 1.1850 |
550
+ | 1.2962 | 0.8 | 2000 | 1.1846 |
551
+ | 1.2732 | 0.8 | 2004 | 1.1842 |
552
+ | 1.2588 | 0.8 | 2008 | 1.1838 |
553
+ | 1.2651 | 0.8 | 2012 | 1.1836 |
554
+ | 1.2755 | 0.81 | 2016 | 1.1833 |
555
+ | 1.2513 | 0.81 | 2020 | 1.1828 |
556
+ | 1.2645 | 0.81 | 2024 | 1.1824 |
557
+ | 1.2593 | 0.81 | 2028 | 1.1819 |
558
+ | 1.2947 | 0.81 | 2032 | 1.1818 |
559
+ | 1.2599 | 0.81 | 2036 | 1.1813 |
560
+ | 1.2094 | 0.82 | 2040 | 1.1809 |
561
+ | 1.2707 | 0.82 | 2044 | 1.1807 |
562
+ | 1.2653 | 0.82 | 2048 | 1.1803 |
563
+ | 1.2637 | 0.82 | 2052 | 1.1799 |
564
+ | 1.2708 | 0.82 | 2056 | 1.1799 |
565
+ | 1.283 | 0.82 | 2060 | 1.1794 |
566
+ | 1.2853 | 0.83 | 2064 | 1.1792 |
567
+ | 1.2617 | 0.83 | 2068 | 1.1792 |
568
+ | 1.2476 | 0.83 | 2072 | 1.1788 |
569
+ | 1.2355 | 0.83 | 2076 | 1.1785 |
570
+ | 1.2348 | 0.83 | 2080 | 1.1781 |
571
+ | 1.2468 | 0.83 | 2084 | 1.1780 |
572
+ | 1.2715 | 0.84 | 2088 | 1.1776 |
573
+ | 1.2502 | 0.84 | 2092 | 1.1772 |
574
+ | 1.284 | 0.84 | 2096 | 1.1771 |
575
+ | 1.2417 | 0.84 | 2100 | 1.1768 |
576
+ | 1.2516 | 0.84 | 2104 | 1.1766 |
577
+ | 1.2748 | 0.84 | 2108 | 1.1763 |
578
+ | 1.2744 | 0.84 | 2112 | 1.1762 |
579
+ | 1.2551 | 0.85 | 2116 | 1.1757 |
580
+ | 1.2687 | 0.85 | 2120 | 1.1755 |
581
+ | 1.2575 | 0.85 | 2124 | 1.1754 |
582
+ | 1.2501 | 0.85 | 2128 | 1.1749 |
583
+ | 1.2728 | 0.85 | 2132 | 1.1751 |
584
+ | 1.2411 | 0.85 | 2136 | 1.1750 |
585
+ | 1.2505 | 0.86 | 2140 | 1.1744 |
586
+ | 1.2363 | 0.86 | 2144 | 1.1743 |
587
+ | 1.2408 | 0.86 | 2148 | 1.1741 |
588
+ | 1.25 | 0.86 | 2152 | 1.1736 |
589
+ | 1.2729 | 0.86 | 2156 | 1.1735 |
590
+ | 1.2467 | 0.86 | 2160 | 1.1735 |
591
+ | 1.2377 | 0.87 | 2164 | 1.1734 |
592
+ | 1.2876 | 0.87 | 2168 | 1.1729 |
593
+ | 1.255 | 0.87 | 2172 | 1.1728 |
594
+ | 1.2471 | 0.87 | 2176 | 1.1724 |
595
+ | 1.2641 | 0.87 | 2180 | 1.1726 |
596
+ | 1.2594 | 0.87 | 2184 | 1.1722 |
597
+ | 1.2803 | 0.88 | 2188 | 1.1719 |
598
+ | 1.2404 | 0.88 | 2192 | 1.1718 |
599
+ | 1.2538 | 0.88 | 2196 | 1.1718 |
600
+ | 1.2423 | 0.88 | 2200 | 1.1716 |
601
+ | 1.2344 | 0.88 | 2204 | 1.1713 |
602
+ | 1.2646 | 0.88 | 2208 | 1.1711 |
603
+ | 1.2501 | 0.88 | 2212 | 1.1712 |
604
+ | 1.2455 | 0.89 | 2216 | 1.1709 |
605
+ | 1.2588 | 0.89 | 2220 | 1.1705 |
606
+ | 1.2629 | 0.89 | 2224 | 1.1706 |
607
+ | 1.2572 | 0.89 | 2228 | 1.1706 |
608
+ | 1.2625 | 0.89 | 2232 | 1.1704 |
609
+ | 1.2479 | 0.89 | 2236 | 1.1700 |
610
+ | 1.2698 | 0.9 | 2240 | 1.1701 |
611
+ | 1.2619 | 0.9 | 2244 | 1.1699 |
612
+ | 1.2455 | 0.9 | 2248 | 1.1696 |
613
+ | 1.2523 | 0.9 | 2252 | 1.1696 |
614
+ | 1.2695 | 0.9 | 2256 | 1.1692 |
615
+ | 1.258 | 0.9 | 2260 | 1.1691 |
616
+ | 1.2393 | 0.91 | 2264 | 1.1691 |
617
+ | 1.2567 | 0.91 | 2268 | 1.1690 |
618
+ | 1.2373 | 0.91 | 2272 | 1.1688 |
619
+ | 1.2797 | 0.91 | 2276 | 1.1687 |
620
+ | 1.2646 | 0.91 | 2280 | 1.1686 |
621
+ | 1.2502 | 0.91 | 2284 | 1.1686 |
622
+ | 1.2317 | 0.92 | 2288 | 1.1684 |
623
+ | 1.2443 | 0.92 | 2292 | 1.1683 |
624
+ | 1.2563 | 0.92 | 2296 | 1.1683 |
625
+ | 1.2485 | 0.92 | 2300 | 1.1683 |
626
+ | 1.2542 | 0.92 | 2304 | 1.1682 |
627
+ | 1.2381 | 0.92 | 2308 | 1.1679 |
628
+ | 1.2244 | 0.92 | 2312 | 1.1679 |
629
+ | 1.2725 | 0.93 | 2316 | 1.1678 |
630
+ | 1.2441 | 0.93 | 2320 | 1.1677 |
631
+ | 1.2441 | 0.93 | 2324 | 1.1678 |
632
+ | 1.2546 | 0.93 | 2328 | 1.1676 |
633
+ | 1.2279 | 0.93 | 2332 | 1.1674 |
634
+ | 1.2635 | 0.93 | 2336 | 1.1675 |
635
+ | 1.2572 | 0.94 | 2340 | 1.1673 |
636
+ | 1.2421 | 0.94 | 2344 | 1.1673 |
637
+ | 1.2022 | 0.94 | 2348 | 1.1671 |
638
+ | 1.2307 | 0.94 | 2352 | 1.1670 |
639
+ | 1.2525 | 0.94 | 2356 | 1.1670 |
640
+ | 1.2353 | 0.94 | 2360 | 1.1671 |
641
+ | 1.25 | 0.95 | 2364 | 1.1672 |
642
+ | 1.2493 | 0.95 | 2368 | 1.1670 |
643
+ | 1.2453 | 0.95 | 2372 | 1.1670 |
644
+ | 1.2714 | 0.95 | 2376 | 1.1669 |
645
+ | 1.2435 | 0.95 | 2380 | 1.1668 |
646
+ | 1.2518 | 0.95 | 2384 | 1.1668 |
647
+ | 1.2594 | 0.96 | 2388 | 1.1669 |
648
+ | 1.2149 | 0.96 | 2392 | 1.1670 |
649
+ | 1.2676 | 0.96 | 2396 | 1.1667 |
650
+ | 1.2337 | 0.96 | 2400 | 1.1669 |
651
+ | 1.2329 | 0.96 | 2404 | 1.1666 |
652
+ | 1.269 | 0.96 | 2408 | 1.1667 |
653
+ | 1.2298 | 0.96 | 2412 | 1.1665 |
654
+ | 1.2481 | 0.97 | 2416 | 1.1667 |
655
+ | 1.2674 | 0.97 | 2420 | 1.1668 |
656
+ | 1.2482 | 0.97 | 2424 | 1.1666 |
657
+ | 1.2604 | 0.97 | 2428 | 1.1667 |
658
+ | 1.2471 | 0.97 | 2432 | 1.1666 |
659
+ | 1.2069 | 0.97 | 2436 | 1.1665 |
660
+ | 1.2734 | 0.98 | 2440 | 1.1667 |
661
+ | 1.239 | 0.98 | 2444 | 1.1666 |
662
+ | 1.2245 | 0.98 | 2448 | 1.1664 |
663
+ | 1.244 | 0.98 | 2452 | 1.1664 |
664
+ | 1.2458 | 0.98 | 2456 | 1.1666 |
665
+ | 1.2566 | 0.98 | 2460 | 1.1665 |
666
+ | 1.2582 | 0.99 | 2464 | 1.1667 |
667
+ | 1.2312 | 0.99 | 2468 | 1.1667 |
668
+ | 1.229 | 0.99 | 2472 | 1.1666 |
669
+ | 1.2186 | 0.99 | 2476 | 1.1667 |
670
+ | 1.2423 | 0.99 | 2480 | 1.1665 |
671
+ | 1.2465 | 0.99 | 2484 | 1.1665 |
672
+ | 1.2332 | 1.0 | 2488 | 1.1663 |
673
+ | 1.2466 | 1.0 | 2492 | 1.1665 |
674
+ | 1.2308 | 1.0 | 2496 | 1.1665 |
675
+ | 1.2435 | 1.0 | 2500 | 1.1667 |
676
+
677
+
678
+ ### Framework versions
679
+
680
+ - Transformers 4.36.0.dev0
681
+ - Pytorch 2.1.0+cu118
682
+ - Datasets 2.15.1.dev0
683
+ - Tokenizers 0.15.0
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "jeff31415/TinyLlama-1.1B-1T-OpenOrca",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 5632,
14
+ "max_position_embeddings": 2048,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 22,
18
+ "num_key_value_heads": 4,
19
+ "pretraining_tp": 1,
20
+ "rms_norm_eps": 1e-05,
21
+ "rope_scaling": null,
22
+ "rope_theta": 10000.0,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "float32",
25
+ "transformers_version": "4.36.0.dev0",
26
+ "use_cache": true,
27
+ "vocab_size": 32000
28
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 2,
4
+ "max_length": 2048,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.36.0.dev0"
7
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:418518c0922cf42162952547c06061d87db2f48d42b843bb2e5015c0d650282e
3
+ size 4400216536
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "bos_token": "<s>",
31
+ "clean_up_tokenization_spaces": false,
32
+ "eos_token": "</s>",
33
+ "legacy": false,
34
+ "model_max_length": 1000000000000000019884624838656,
35
+ "pad_token": "</s>",
36
+ "padding_side": "right",
37
+ "sp_model_kwargs": {},
38
+ "spaces_between_special_tokens": false,
39
+ "tokenizer_class": "LlamaTokenizer",
40
+ "unk_token": "<unk>",
41
+ "use_default_system_prompt": false
42
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8372290711385a4b881e6c95b154723c812dc21e47ba06376b2d40c72d854043
3
+ size 4600