MayBashendy commited on
Commit
cdfd786
·
verified ·
1 Parent(s): 834c4c6

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +453 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,453 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task5_organization
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
+ # ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task5_organization
15
+
16
+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 1.3148
19
+ - Qwk: 0.0401
20
+ - Mse: 1.3148
21
+ - Rmse: 1.1467
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 2e-05
41
+ - train_batch_size: 8
42
+ - eval_batch_size: 8
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 100
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
51
+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|
52
+ | No log | 0.0909 | 2 | 4.2022 | 0.0054 | 4.2022 | 2.0499 |
53
+ | No log | 0.1818 | 4 | 2.0665 | 0.0271 | 2.0665 | 1.4375 |
54
+ | No log | 0.2727 | 6 | 1.3293 | 0.0938 | 1.3293 | 1.1529 |
55
+ | No log | 0.3636 | 8 | 1.2055 | 0.1333 | 1.2055 | 1.0979 |
56
+ | No log | 0.4545 | 10 | 1.1096 | 0.1476 | 1.1096 | 1.0534 |
57
+ | No log | 0.5455 | 12 | 1.1230 | 0.2615 | 1.1230 | 1.0597 |
58
+ | No log | 0.6364 | 14 | 1.9505 | 0.0633 | 1.9505 | 1.3966 |
59
+ | No log | 0.7273 | 16 | 1.9299 | 0.0916 | 1.9299 | 1.3892 |
60
+ | No log | 0.8182 | 18 | 1.4919 | 0.0 | 1.4919 | 1.2214 |
61
+ | No log | 0.9091 | 20 | 1.1093 | 0.0999 | 1.1093 | 1.0532 |
62
+ | No log | 1.0 | 22 | 1.0201 | 0.3902 | 1.0201 | 1.0100 |
63
+ | No log | 1.0909 | 24 | 1.0723 | 0.0762 | 1.0723 | 1.0355 |
64
+ | No log | 1.1818 | 26 | 1.0957 | 0.0888 | 1.0957 | 1.0468 |
65
+ | No log | 1.2727 | 28 | 1.0425 | 0.1233 | 1.0425 | 1.0210 |
66
+ | No log | 1.3636 | 30 | 0.9925 | 0.2467 | 0.9925 | 0.9962 |
67
+ | No log | 1.4545 | 32 | 0.9567 | 0.2566 | 0.9567 | 0.9781 |
68
+ | No log | 1.5455 | 34 | 0.9841 | 0.2416 | 0.9841 | 0.9920 |
69
+ | No log | 1.6364 | 36 | 1.1296 | 0.1071 | 1.1296 | 1.0628 |
70
+ | No log | 1.7273 | 38 | 1.1629 | 0.0917 | 1.1629 | 1.0784 |
71
+ | No log | 1.8182 | 40 | 1.0763 | 0.1755 | 1.0763 | 1.0374 |
72
+ | No log | 1.9091 | 42 | 1.1370 | 0.1447 | 1.1370 | 1.0663 |
73
+ | No log | 2.0 | 44 | 1.2073 | 0.2298 | 1.2073 | 1.0988 |
74
+ | No log | 2.0909 | 46 | 1.0949 | 0.2770 | 1.0949 | 1.0464 |
75
+ | No log | 2.1818 | 48 | 1.1886 | 0.2263 | 1.1886 | 1.0902 |
76
+ | No log | 2.2727 | 50 | 1.4426 | 0.1568 | 1.4426 | 1.2011 |
77
+ | No log | 2.3636 | 52 | 1.4336 | 0.1442 | 1.4336 | 1.1973 |
78
+ | No log | 2.4545 | 54 | 1.4912 | 0.1452 | 1.4912 | 1.2211 |
79
+ | No log | 2.5455 | 56 | 1.2296 | 0.1649 | 1.2296 | 1.1089 |
80
+ | No log | 2.6364 | 58 | 1.0344 | 0.2594 | 1.0344 | 1.0171 |
81
+ | No log | 2.7273 | 60 | 0.9894 | 0.3048 | 0.9894 | 0.9947 |
82
+ | No log | 2.8182 | 62 | 1.1378 | 0.2748 | 1.1378 | 1.0667 |
83
+ | No log | 2.9091 | 64 | 1.3183 | 0.2359 | 1.3183 | 1.1482 |
84
+ | No log | 3.0 | 66 | 1.4433 | 0.1686 | 1.4433 | 1.2014 |
85
+ | No log | 3.0909 | 68 | 1.3144 | 0.1303 | 1.3144 | 1.1465 |
86
+ | No log | 3.1818 | 70 | 1.0965 | 0.1927 | 1.0965 | 1.0471 |
87
+ | No log | 3.2727 | 72 | 1.0906 | 0.1927 | 1.0906 | 1.0443 |
88
+ | No log | 3.3636 | 74 | 1.2841 | 0.2424 | 1.2841 | 1.1332 |
89
+ | No log | 3.4545 | 76 | 1.3876 | 0.1595 | 1.3876 | 1.1780 |
90
+ | No log | 3.5455 | 78 | 1.2388 | 0.1417 | 1.2388 | 1.1130 |
91
+ | No log | 3.6364 | 80 | 1.0832 | 0.1722 | 1.0832 | 1.0408 |
92
+ | No log | 3.7273 | 82 | 1.0288 | 0.1530 | 1.0288 | 1.0143 |
93
+ | No log | 3.8182 | 84 | 1.0234 | 0.1530 | 1.0234 | 1.0117 |
94
+ | No log | 3.9091 | 86 | 1.1306 | 0.1351 | 1.1306 | 1.0633 |
95
+ | No log | 4.0 | 88 | 1.3053 | 0.1697 | 1.3053 | 1.1425 |
96
+ | No log | 4.0909 | 90 | 1.4455 | 0.1703 | 1.4455 | 1.2023 |
97
+ | No log | 4.1818 | 92 | 1.3308 | 0.1838 | 1.3308 | 1.1536 |
98
+ | No log | 4.2727 | 94 | 1.0889 | 0.1139 | 1.0889 | 1.0435 |
99
+ | No log | 4.3636 | 96 | 1.0064 | 0.2287 | 1.0064 | 1.0032 |
100
+ | No log | 4.4545 | 98 | 1.0266 | 0.1653 | 1.0266 | 1.0132 |
101
+ | No log | 4.5455 | 100 | 1.1562 | 0.0833 | 1.1562 | 1.0753 |
102
+ | No log | 4.6364 | 102 | 1.3534 | 0.1486 | 1.3534 | 1.1633 |
103
+ | No log | 4.7273 | 104 | 1.4437 | 0.1814 | 1.4437 | 1.2015 |
104
+ | No log | 4.8182 | 106 | 1.3547 | 0.0878 | 1.3547 | 1.1639 |
105
+ | No log | 4.9091 | 108 | 1.1577 | 0.0781 | 1.1577 | 1.0760 |
106
+ | No log | 5.0 | 110 | 1.0352 | 0.1570 | 1.0352 | 1.0174 |
107
+ | No log | 5.0909 | 112 | 1.0204 | 0.1918 | 1.0204 | 1.0102 |
108
+ | No log | 5.1818 | 114 | 1.0810 | 0.2105 | 1.0810 | 1.0397 |
109
+ | No log | 5.2727 | 116 | 1.2589 | 0.2455 | 1.2589 | 1.1220 |
110
+ | No log | 5.3636 | 118 | 1.4540 | 0.2004 | 1.4540 | 1.2058 |
111
+ | No log | 5.4545 | 120 | 1.4670 | 0.1832 | 1.4670 | 1.2112 |
112
+ | No log | 5.5455 | 122 | 1.4707 | 0.1892 | 1.4707 | 1.2127 |
113
+ | No log | 5.6364 | 124 | 1.4486 | 0.1832 | 1.4486 | 1.2036 |
114
+ | No log | 5.7273 | 126 | 1.2922 | 0.2065 | 1.2922 | 1.1368 |
115
+ | No log | 5.8182 | 128 | 1.1318 | 0.1351 | 1.1318 | 1.0639 |
116
+ | No log | 5.9091 | 130 | 1.0763 | 0.1770 | 1.0763 | 1.0374 |
117
+ | No log | 6.0 | 132 | 1.0685 | 0.1351 | 1.0685 | 1.0337 |
118
+ | No log | 6.0909 | 134 | 1.1184 | 0.1697 | 1.1184 | 1.0575 |
119
+ | No log | 6.1818 | 136 | 1.3044 | 0.1278 | 1.3044 | 1.1421 |
120
+ | No log | 6.2727 | 138 | 1.4270 | 0.2191 | 1.4270 | 1.1946 |
121
+ | No log | 6.3636 | 140 | 1.5233 | 0.2339 | 1.5233 | 1.2342 |
122
+ | No log | 6.4545 | 142 | 1.5357 | 0.1140 | 1.5357 | 1.2392 |
123
+ | No log | 6.5455 | 144 | 1.5322 | 0.1058 | 1.5322 | 1.2378 |
124
+ | No log | 6.6364 | 146 | 1.4412 | 0.1362 | 1.4412 | 1.2005 |
125
+ | No log | 6.7273 | 148 | 1.3383 | 0.0841 | 1.3383 | 1.1568 |
126
+ | No log | 6.8182 | 150 | 1.2836 | 0.0961 | 1.2836 | 1.1329 |
127
+ | No log | 6.9091 | 152 | 1.1473 | 0.1110 | 1.1473 | 1.0711 |
128
+ | No log | 7.0 | 154 | 1.0064 | 0.2559 | 1.0064 | 1.0032 |
129
+ | No log | 7.0909 | 156 | 0.9896 | 0.2698 | 0.9896 | 0.9948 |
130
+ | No log | 7.1818 | 158 | 1.0643 | 0.2062 | 1.0643 | 1.0316 |
131
+ | No log | 7.2727 | 160 | 1.2030 | 0.1880 | 1.2030 | 1.0968 |
132
+ | No log | 7.3636 | 162 | 1.2567 | 0.1880 | 1.2567 | 1.1210 |
133
+ | No log | 7.4545 | 164 | 1.3155 | 0.2187 | 1.3155 | 1.1469 |
134
+ | No log | 7.5455 | 166 | 1.3738 | 0.2062 | 1.3738 | 1.1721 |
135
+ | No log | 7.6364 | 168 | 1.3532 | 0.2187 | 1.3532 | 1.1633 |
136
+ | No log | 7.7273 | 170 | 1.4124 | 0.2342 | 1.4124 | 1.1884 |
137
+ | No log | 7.8182 | 172 | 1.5028 | 0.2239 | 1.5028 | 1.2259 |
138
+ | No log | 7.9091 | 174 | 1.4605 | 0.2372 | 1.4605 | 1.2085 |
139
+ | No log | 8.0 | 176 | 1.3248 | 0.1744 | 1.3248 | 1.1510 |
140
+ | No log | 8.0909 | 178 | 1.2173 | 0.0931 | 1.2173 | 1.1033 |
141
+ | No log | 8.1818 | 180 | 1.1648 | 0.1351 | 1.1648 | 1.0793 |
142
+ | No log | 8.2727 | 182 | 1.1610 | 0.0987 | 1.1610 | 1.0775 |
143
+ | No log | 8.3636 | 184 | 1.1975 | 0.0 | 1.1975 | 1.0943 |
144
+ | No log | 8.4545 | 186 | 1.2108 | 0.0 | 1.2108 | 1.1004 |
145
+ | No log | 8.5455 | 188 | 1.2449 | 0.0781 | 1.2449 | 1.1158 |
146
+ | No log | 8.6364 | 190 | 1.3254 | 0.1407 | 1.3254 | 1.1512 |
147
+ | No log | 8.7273 | 192 | 1.3659 | 0.2260 | 1.3659 | 1.1687 |
148
+ | No log | 8.8182 | 194 | 1.4544 | 0.2597 | 1.4544 | 1.2060 |
149
+ | No log | 8.9091 | 196 | 1.5278 | 0.2874 | 1.5278 | 1.2361 |
150
+ | No log | 9.0 | 198 | 1.5682 | 0.2733 | 1.5682 | 1.2523 |
151
+ | No log | 9.0909 | 200 | 1.5010 | 0.1950 | 1.5010 | 1.2252 |
152
+ | No log | 9.1818 | 202 | 1.3556 | 0.1880 | 1.3556 | 1.1643 |
153
+ | No log | 9.2727 | 204 | 1.2449 | 0.1288 | 1.2449 | 1.1157 |
154
+ | No log | 9.3636 | 206 | 1.2807 | 0.1288 | 1.2807 | 1.1317 |
155
+ | No log | 9.4545 | 208 | 1.3811 | 0.1744 | 1.3811 | 1.1752 |
156
+ | No log | 9.5455 | 210 | 1.4157 | 0.1814 | 1.4157 | 1.1898 |
157
+ | No log | 9.6364 | 212 | 1.4595 | 0.2132 | 1.4595 | 1.2081 |
158
+ | No log | 9.7273 | 214 | 1.5502 | 0.2291 | 1.5502 | 1.2451 |
159
+ | No log | 9.8182 | 216 | 1.6298 | 0.2555 | 1.6298 | 1.2766 |
160
+ | No log | 9.9091 | 218 | 1.5313 | 0.2555 | 1.5313 | 1.2375 |
161
+ | No log | 10.0 | 220 | 1.3900 | 0.1288 | 1.3900 | 1.1790 |
162
+ | No log | 10.0909 | 222 | 1.3453 | 0.1697 | 1.3453 | 1.1599 |
163
+ | No log | 10.1818 | 224 | 1.3829 | 0.1288 | 1.3829 | 1.1760 |
164
+ | No log | 10.2727 | 226 | 1.4145 | 0.1288 | 1.4145 | 1.1893 |
165
+ | No log | 10.3636 | 228 | 1.4606 | 0.1886 | 1.4606 | 1.2086 |
166
+ | No log | 10.4545 | 230 | 1.4169 | 0.1814 | 1.4169 | 1.1903 |
167
+ | No log | 10.5455 | 232 | 1.2868 | 0.1288 | 1.2868 | 1.1344 |
168
+ | No log | 10.6364 | 234 | 1.2633 | 0.1288 | 1.2633 | 1.1240 |
169
+ | No log | 10.7273 | 236 | 1.2837 | 0.1288 | 1.2837 | 1.1330 |
170
+ | No log | 10.8182 | 238 | 1.2675 | 0.1288 | 1.2675 | 1.1258 |
171
+ | No log | 10.9091 | 240 | 1.3057 | 0.1142 | 1.3057 | 1.1427 |
172
+ | No log | 11.0 | 242 | 1.3247 | 0.1288 | 1.3247 | 1.1510 |
173
+ | No log | 11.0909 | 244 | 1.3219 | 0.1288 | 1.3219 | 1.1497 |
174
+ | No log | 11.1818 | 246 | 1.3070 | 0.0931 | 1.3070 | 1.1432 |
175
+ | No log | 11.2727 | 248 | 1.3763 | 0.0781 | 1.3763 | 1.1731 |
176
+ | No log | 11.3636 | 250 | 1.4652 | 0.1562 | 1.4652 | 1.2104 |
177
+ | No log | 11.4545 | 252 | 1.5085 | 0.1703 | 1.5085 | 1.2282 |
178
+ | No log | 11.5455 | 254 | 1.4220 | 0.1700 | 1.4220 | 1.1925 |
179
+ | No log | 11.6364 | 256 | 1.3453 | 0.1769 | 1.3453 | 1.1599 |
180
+ | No log | 11.7273 | 258 | 1.3098 | 0.1904 | 1.3098 | 1.1444 |
181
+ | No log | 11.8182 | 260 | 1.2883 | 0.1255 | 1.2883 | 1.1350 |
182
+ | No log | 11.9091 | 262 | 1.3471 | 0.1769 | 1.3471 | 1.1606 |
183
+ | No log | 12.0 | 264 | 1.4801 | 0.2568 | 1.4801 | 1.2166 |
184
+ | No log | 12.0909 | 266 | 1.5258 | 0.2568 | 1.5258 | 1.2352 |
185
+ | No log | 12.1818 | 268 | 1.4499 | 0.1634 | 1.4499 | 1.2041 |
186
+ | No log | 12.2727 | 270 | 1.3314 | 0.1744 | 1.3314 | 1.1539 |
187
+ | No log | 12.3636 | 272 | 1.2049 | 0.1142 | 1.2049 | 1.0977 |
188
+ | No log | 12.4545 | 274 | 1.1991 | 0.1288 | 1.1991 | 1.0950 |
189
+ | No log | 12.5455 | 276 | 1.2665 | 0.1769 | 1.2665 | 1.1254 |
190
+ | No log | 12.6364 | 278 | 1.4609 | 0.2292 | 1.4609 | 1.2087 |
191
+ | No log | 12.7273 | 280 | 1.6596 | 0.1847 | 1.6596 | 1.2883 |
192
+ | No log | 12.8182 | 282 | 1.6753 | 0.1902 | 1.6753 | 1.2943 |
193
+ | No log | 12.9091 | 284 | 1.5496 | 0.2522 | 1.5496 | 1.2448 |
194
+ | No log | 13.0 | 286 | 1.3759 | 0.1552 | 1.3759 | 1.1730 |
195
+ | No log | 13.0909 | 288 | 1.2641 | 0.0931 | 1.2641 | 1.1243 |
196
+ | No log | 13.1818 | 290 | 1.2776 | 0.0556 | 1.2776 | 1.1303 |
197
+ | No log | 13.2727 | 292 | 1.3479 | 0.0556 | 1.3479 | 1.1610 |
198
+ | No log | 13.3636 | 294 | 1.4425 | 0.1744 | 1.4425 | 1.2011 |
199
+ | No log | 13.4545 | 296 | 1.5035 | 0.2184 | 1.5035 | 1.2262 |
200
+ | No log | 13.5455 | 298 | 1.4956 | 0.2568 | 1.4956 | 1.2229 |
201
+ | No log | 13.6364 | 300 | 1.3863 | 0.2367 | 1.3863 | 1.1774 |
202
+ | No log | 13.7273 | 302 | 1.2262 | 0.2592 | 1.2262 | 1.1074 |
203
+ | No log | 13.8182 | 304 | 1.1734 | 0.2027 | 1.1734 | 1.0832 |
204
+ | No log | 13.9091 | 306 | 1.2227 | 0.2027 | 1.2227 | 1.1058 |
205
+ | No log | 14.0 | 308 | 1.3397 | 0.2203 | 1.3397 | 1.1575 |
206
+ | No log | 14.0909 | 310 | 1.3971 | 0.1486 | 1.3971 | 1.1820 |
207
+ | No log | 14.1818 | 312 | 1.4089 | 0.1486 | 1.4089 | 1.1870 |
208
+ | No log | 14.2727 | 314 | 1.4484 | 0.2065 | 1.4484 | 1.2035 |
209
+ | No log | 14.3636 | 316 | 1.3635 | 0.1886 | 1.3635 | 1.1677 |
210
+ | No log | 14.4545 | 318 | 1.3263 | 0.1288 | 1.3263 | 1.1517 |
211
+ | No log | 14.5455 | 320 | 1.3890 | 0.1288 | 1.3890 | 1.1786 |
212
+ | No log | 14.6364 | 322 | 1.4231 | 0.2203 | 1.4231 | 1.1929 |
213
+ | No log | 14.7273 | 324 | 1.4009 | 0.2203 | 1.4009 | 1.1836 |
214
+ | No log | 14.8182 | 326 | 1.4423 | 0.2203 | 1.4423 | 1.2010 |
215
+ | No log | 14.9091 | 328 | 1.4348 | 0.2203 | 1.4348 | 1.1978 |
216
+ | No log | 15.0 | 330 | 1.3761 | 0.1288 | 1.3761 | 1.1731 |
217
+ | No log | 15.0909 | 332 | 1.3271 | 0.0781 | 1.3271 | 1.1520 |
218
+ | No log | 15.1818 | 334 | 1.3362 | 0.0781 | 1.3362 | 1.1559 |
219
+ | No log | 15.2727 | 336 | 1.3528 | 0.0931 | 1.3528 | 1.1631 |
220
+ | No log | 15.3636 | 338 | 1.3308 | 0.0556 | 1.3308 | 1.1536 |
221
+ | No log | 15.4545 | 340 | 1.3317 | 0.0931 | 1.3317 | 1.1540 |
222
+ | No log | 15.5455 | 342 | 1.3794 | 0.1288 | 1.3794 | 1.1745 |
223
+ | No log | 15.6364 | 344 | 1.4692 | 0.1142 | 1.4692 | 1.2121 |
224
+ | No log | 15.7273 | 346 | 1.5123 | 0.1142 | 1.5123 | 1.2297 |
225
+ | No log | 15.8182 | 348 | 1.4831 | 0.1142 | 1.4831 | 1.2178 |
226
+ | No log | 15.9091 | 350 | 1.4987 | 0.1142 | 1.4987 | 1.2242 |
227
+ | No log | 16.0 | 352 | 1.4663 | 0.1142 | 1.4663 | 1.2109 |
228
+ | No log | 16.0909 | 354 | 1.3445 | 0.1142 | 1.3445 | 1.1595 |
229
+ | No log | 16.1818 | 356 | 1.1826 | 0.1500 | 1.1826 | 1.0875 |
230
+ | No log | 16.2727 | 358 | 1.1448 | 0.1500 | 1.1448 | 1.0700 |
231
+ | No log | 16.3636 | 360 | 1.2417 | 0.1434 | 1.2417 | 1.1143 |
232
+ | No log | 16.4545 | 362 | 1.4273 | 0.1814 | 1.4273 | 1.1947 |
233
+ | No log | 16.5455 | 364 | 1.6797 | 0.2482 | 1.6797 | 1.2960 |
234
+ | No log | 16.6364 | 366 | 1.8678 | 0.2299 | 1.8678 | 1.3667 |
235
+ | No log | 16.7273 | 368 | 1.8006 | 0.2796 | 1.8006 | 1.3419 |
236
+ | No log | 16.8182 | 370 | 1.5581 | 0.2906 | 1.5581 | 1.2482 |
237
+ | No log | 16.9091 | 372 | 1.2968 | 0.2015 | 1.2968 | 1.1388 |
238
+ | No log | 17.0 | 374 | 1.1974 | 0.1024 | 1.1974 | 1.0943 |
239
+ | No log | 17.0909 | 376 | 1.2170 | 0.1024 | 1.2170 | 1.1032 |
240
+ | No log | 17.1818 | 378 | 1.2211 | 0.1024 | 1.2211 | 1.1050 |
241
+ | No log | 17.2727 | 380 | 1.2658 | 0.0878 | 1.2658 | 1.1251 |
242
+ | No log | 17.3636 | 382 | 1.3111 | 0.1700 | 1.3111 | 1.1450 |
243
+ | No log | 17.4545 | 384 | 1.3089 | 0.2015 | 1.3089 | 1.1441 |
244
+ | No log | 17.5455 | 386 | 1.1696 | 0.1198 | 1.1696 | 1.0815 |
245
+ | No log | 17.6364 | 388 | 1.1036 | 0.1081 | 1.1036 | 1.0505 |
246
+ | No log | 17.7273 | 390 | 1.1404 | 0.1198 | 1.1404 | 1.0679 |
247
+ | No log | 17.8182 | 392 | 1.2724 | 0.1228 | 1.2724 | 1.1280 |
248
+ | No log | 17.9091 | 394 | 1.3872 | 0.1562 | 1.3872 | 1.1778 |
249
+ | No log | 18.0 | 396 | 1.4595 | 0.1880 | 1.4595 | 1.2081 |
250
+ | No log | 18.0909 | 398 | 1.4456 | 0.1880 | 1.4456 | 1.2023 |
251
+ | No log | 18.1818 | 400 | 1.3446 | 0.1880 | 1.3446 | 1.1596 |
252
+ | No log | 18.2727 | 402 | 1.2606 | 0.1370 | 1.2606 | 1.1228 |
253
+ | No log | 18.3636 | 404 | 1.1806 | 0.0587 | 1.1806 | 1.0866 |
254
+ | No log | 18.4545 | 406 | 1.2026 | 0.1351 | 1.2026 | 1.0967 |
255
+ | No log | 18.5455 | 408 | 1.2648 | 0.0931 | 1.2648 | 1.1246 |
256
+ | No log | 18.6364 | 410 | 1.3198 | 0.0931 | 1.3198 | 1.1488 |
257
+ | No log | 18.7273 | 412 | 1.3849 | 0.1486 | 1.3849 | 1.1768 |
258
+ | No log | 18.8182 | 414 | 1.3812 | 0.1142 | 1.3812 | 1.1753 |
259
+ | No log | 18.9091 | 416 | 1.3559 | 0.0781 | 1.3559 | 1.1644 |
260
+ | No log | 19.0 | 418 | 1.3180 | 0.0556 | 1.3180 | 1.1480 |
261
+ | No log | 19.0909 | 420 | 1.2933 | 0.0160 | 1.2933 | 1.1372 |
262
+ | No log | 19.1818 | 422 | 1.3002 | 0.0160 | 1.3002 | 1.1403 |
263
+ | No log | 19.2727 | 424 | 1.3176 | 0.0556 | 1.3176 | 1.1479 |
264
+ | No log | 19.3636 | 426 | 1.3180 | 0.0931 | 1.3180 | 1.1480 |
265
+ | No log | 19.4545 | 428 | 1.3150 | 0.0931 | 1.3150 | 1.1468 |
266
+ | No log | 19.5455 | 430 | 1.3540 | 0.0931 | 1.3540 | 1.1636 |
267
+ | No log | 19.6364 | 432 | 1.3673 | 0.1486 | 1.3673 | 1.1693 |
268
+ | No log | 19.7273 | 434 | 1.3292 | 0.0931 | 1.3292 | 1.1529 |
269
+ | No log | 19.8182 | 436 | 1.3137 | 0.1628 | 1.3137 | 1.1462 |
270
+ | No log | 19.9091 | 438 | 1.3687 | 0.1952 | 1.3687 | 1.1699 |
271
+ | No log | 20.0 | 440 | 1.4533 | 0.1814 | 1.4533 | 1.2055 |
272
+ | No log | 20.0909 | 442 | 1.5267 | 0.1814 | 1.5267 | 1.2356 |
273
+ | No log | 20.1818 | 444 | 1.5173 | 0.1814 | 1.5173 | 1.2318 |
274
+ | No log | 20.2727 | 446 | 1.4330 | 0.1814 | 1.4330 | 1.1971 |
275
+ | No log | 20.3636 | 448 | 1.3313 | 0.0781 | 1.3313 | 1.1538 |
276
+ | No log | 20.4545 | 450 | 1.2738 | 0.0931 | 1.2738 | 1.1286 |
277
+ | No log | 20.5455 | 452 | 1.2018 | 0.0541 | 1.2018 | 1.0963 |
278
+ | No log | 20.6364 | 454 | 1.1926 | 0.0541 | 1.1926 | 1.0921 |
279
+ | No log | 20.7273 | 456 | 1.2494 | 0.1628 | 1.2494 | 1.1178 |
280
+ | No log | 20.8182 | 458 | 1.3502 | 0.1835 | 1.3502 | 1.1620 |
281
+ | No log | 20.9091 | 460 | 1.4189 | 0.1703 | 1.4189 | 1.1912 |
282
+ | No log | 21.0 | 462 | 1.4542 | 0.2292 | 1.4542 | 1.2059 |
283
+ | No log | 21.0909 | 464 | 1.4672 | 0.2292 | 1.4672 | 1.2113 |
284
+ | No log | 21.1818 | 466 | 1.4564 | 0.2372 | 1.4564 | 1.2068 |
285
+ | No log | 21.2727 | 468 | 1.3966 | 0.1814 | 1.3966 | 1.1818 |
286
+ | No log | 21.3636 | 470 | 1.3269 | 0.1952 | 1.3269 | 1.1519 |
287
+ | No log | 21.4545 | 472 | 1.2190 | 0.1288 | 1.2190 | 1.1041 |
288
+ | No log | 21.5455 | 474 | 1.1939 | 0.0907 | 1.1939 | 1.0927 |
289
+ | No log | 21.6364 | 476 | 1.2056 | 0.1288 | 1.2056 | 1.0980 |
290
+ | No log | 21.7273 | 478 | 1.2256 | 0.0931 | 1.2256 | 1.1071 |
291
+ | No log | 21.8182 | 480 | 1.2800 | 0.1288 | 1.2800 | 1.1314 |
292
+ | No log | 21.9091 | 482 | 1.3897 | 0.1880 | 1.3897 | 1.1789 |
293
+ | No log | 22.0 | 484 | 1.5415 | 0.2117 | 1.5415 | 1.2416 |
294
+ | No log | 22.0909 | 486 | 1.5774 | 0.2391 | 1.5774 | 1.2560 |
295
+ | No log | 22.1818 | 488 | 1.4965 | 0.2474 | 1.4965 | 1.2233 |
296
+ | No log | 22.2727 | 490 | 1.3628 | 0.1562 | 1.3628 | 1.1674 |
297
+ | No log | 22.3636 | 492 | 1.2929 | 0.0781 | 1.2929 | 1.1371 |
298
+ | No log | 22.4545 | 494 | 1.2348 | 0.0401 | 1.2348 | 1.1112 |
299
+ | No log | 22.5455 | 496 | 1.1952 | 0.0 | 1.1952 | 1.0933 |
300
+ | No log | 22.6364 | 498 | 1.2031 | 0.0401 | 1.2031 | 1.0969 |
301
+ | 0.2584 | 22.7273 | 500 | 1.2517 | 0.0781 | 1.2517 | 1.1188 |
302
+ | 0.2584 | 22.8182 | 502 | 1.3479 | 0.2126 | 1.3479 | 1.1610 |
303
+ | 0.2584 | 22.9091 | 504 | 1.4405 | 0.2239 | 1.4405 | 1.2002 |
304
+ | 0.2584 | 23.0 | 506 | 1.4855 | 0.2482 | 1.4855 | 1.2188 |
305
+ | 0.2584 | 23.0909 | 508 | 1.4769 | 0.2611 | 1.4769 | 1.2153 |
306
+ | 0.2584 | 23.1818 | 510 | 1.4806 | 0.2474 | 1.4806 | 1.2168 |
307
+ | 0.2584 | 23.2727 | 512 | 1.3864 | 0.1288 | 1.3864 | 1.1774 |
308
+ | 0.2584 | 23.3636 | 514 | 1.3373 | 0.0931 | 1.3373 | 1.1564 |
309
+ | 0.2584 | 23.4545 | 516 | 1.2319 | 0.0556 | 1.2319 | 1.1099 |
310
+ | 0.2584 | 23.5455 | 518 | 1.1253 | 0.0636 | 1.1253 | 1.0608 |
311
+ | 0.2584 | 23.6364 | 520 | 1.1308 | 0.0636 | 1.1308 | 1.0634 |
312
+ | 0.2584 | 23.7273 | 522 | 1.2340 | 0.0987 | 1.2340 | 1.1108 |
313
+ | 0.2584 | 23.8182 | 524 | 1.3572 | 0.1288 | 1.3572 | 1.1650 |
314
+ | 0.2584 | 23.9091 | 526 | 1.4554 | 0.1814 | 1.4554 | 1.2064 |
315
+ | 0.2584 | 24.0 | 528 | 1.4965 | 0.2372 | 1.4965 | 1.2233 |
316
+ | 0.2584 | 24.0909 | 530 | 1.5018 | 0.2506 | 1.5018 | 1.2255 |
317
+ | 0.2584 | 24.1818 | 532 | 1.4527 | 0.2506 | 1.4527 | 1.2053 |
318
+ | 0.2584 | 24.2727 | 534 | 1.4839 | 0.2506 | 1.4839 | 1.2182 |
319
+ | 0.2584 | 24.3636 | 536 | 1.5653 | 0.2315 | 1.5653 | 1.2511 |
320
+ | 0.2584 | 24.4545 | 538 | 1.5622 | 0.2372 | 1.5622 | 1.2499 |
321
+ | 0.2584 | 24.5455 | 540 | 1.5253 | 0.1142 | 1.5253 | 1.2350 |
322
+ | 0.2584 | 24.6364 | 542 | 1.4976 | 0.1142 | 1.4976 | 1.2238 |
323
+ | 0.2584 | 24.7273 | 544 | 1.5171 | 0.0781 | 1.5171 | 1.2317 |
324
+ | 0.2584 | 24.8182 | 546 | 1.4436 | 0.0931 | 1.4436 | 1.2015 |
325
+ | 0.2584 | 24.9091 | 548 | 1.3347 | 0.0661 | 1.3347 | 1.1553 |
326
+ | 0.2584 | 25.0 | 550 | 1.2819 | 0.1370 | 1.2819 | 1.1322 |
327
+ | 0.2584 | 25.0909 | 552 | 1.3317 | 0.2877 | 1.3317 | 1.1540 |
328
+ | 0.2584 | 25.1818 | 554 | 1.4647 | 0.2906 | 1.4647 | 1.2103 |
329
+ | 0.2584 | 25.2727 | 556 | 1.5736 | 0.2874 | 1.5736 | 1.2544 |
330
+ | 0.2584 | 25.3636 | 558 | 1.6276 | 0.2482 | 1.6276 | 1.2758 |
331
+ | 0.2584 | 25.4545 | 560 | 1.5872 | 0.2793 | 1.5872 | 1.2599 |
332
+ | 0.2584 | 25.5455 | 562 | 1.4919 | 0.2793 | 1.4919 | 1.2214 |
333
+ | 0.2584 | 25.6364 | 564 | 1.3980 | 0.2424 | 1.3980 | 1.1824 |
334
+ | 0.2584 | 25.7273 | 566 | 1.3041 | 0.1700 | 1.3041 | 1.1420 |
335
+ | 0.2584 | 25.8182 | 568 | 1.2671 | 0.1288 | 1.2671 | 1.1256 |
336
+ | 0.2584 | 25.9091 | 570 | 1.2715 | 0.1288 | 1.2715 | 1.1276 |
337
+ | 0.2584 | 26.0 | 572 | 1.3393 | 0.1370 | 1.3393 | 1.1573 |
338
+ | 0.2584 | 26.0909 | 574 | 1.4147 | 0.1486 | 1.4147 | 1.1894 |
339
+ | 0.2584 | 26.1818 | 576 | 1.4687 | 0.2424 | 1.4687 | 1.2119 |
340
+ | 0.2584 | 26.2727 | 578 | 1.5035 | 0.2424 | 1.5035 | 1.2262 |
341
+ | 0.2584 | 26.3636 | 580 | 1.4861 | 0.2793 | 1.4861 | 1.2191 |
342
+ | 0.2584 | 26.4545 | 582 | 1.3843 | 0.2474 | 1.3843 | 1.1765 |
343
+ | 0.2584 | 26.5455 | 584 | 1.2908 | 0.1880 | 1.2908 | 1.1361 |
344
+ | 0.2584 | 26.6364 | 586 | 1.2377 | 0.1562 | 1.2377 | 1.1125 |
345
+ | 0.2584 | 26.7273 | 588 | 1.2009 | 0.1370 | 1.2009 | 1.0959 |
346
+ | 0.2584 | 26.8182 | 590 | 1.1130 | 0.0691 | 1.1130 | 1.0550 |
347
+ | 0.2584 | 26.9091 | 592 | 1.0761 | 0.0741 | 1.0761 | 1.0373 |
348
+ | 0.2584 | 27.0 | 594 | 1.1096 | 0.0310 | 1.1096 | 1.0534 |
349
+ | 0.2584 | 27.0909 | 596 | 1.1973 | 0.0931 | 1.1973 | 1.0942 |
350
+ | 0.2584 | 27.1818 | 598 | 1.2949 | 0.0781 | 1.2949 | 1.1380 |
351
+ | 0.2584 | 27.2727 | 600 | 1.3531 | 0.0781 | 1.3531 | 1.1632 |
352
+ | 0.2584 | 27.3636 | 602 | 1.4241 | 0.0781 | 1.4241 | 1.1933 |
353
+ | 0.2584 | 27.4545 | 604 | 1.4482 | 0.1142 | 1.4482 | 1.2034 |
354
+ | 0.2584 | 27.5455 | 606 | 1.4311 | 0.1142 | 1.4311 | 1.1963 |
355
+ | 0.2584 | 27.6364 | 608 | 1.4217 | 0.1142 | 1.4217 | 1.1924 |
356
+ | 0.2584 | 27.7273 | 610 | 1.3805 | 0.1288 | 1.3805 | 1.1750 |
357
+ | 0.2584 | 27.8182 | 612 | 1.3877 | 0.1628 | 1.3877 | 1.1780 |
358
+ | 0.2584 | 27.9091 | 614 | 1.3495 | 0.1288 | 1.3495 | 1.1617 |
359
+ | 0.2584 | 28.0 | 616 | 1.2668 | 0.0541 | 1.2668 | 1.1255 |
360
+ | 0.2584 | 28.0909 | 618 | 1.2980 | 0.0931 | 1.2980 | 1.1393 |
361
+ | 0.2584 | 28.1818 | 620 | 1.3324 | 0.1288 | 1.3324 | 1.1543 |
362
+ | 0.2584 | 28.2727 | 622 | 1.3639 | 0.1288 | 1.3639 | 1.1679 |
363
+ | 0.2584 | 28.3636 | 624 | 1.3927 | 0.1142 | 1.3927 | 1.1801 |
364
+ | 0.2584 | 28.4545 | 626 | 1.3862 | 0.1142 | 1.3862 | 1.1774 |
365
+ | 0.2584 | 28.5455 | 628 | 1.3597 | 0.1142 | 1.3597 | 1.1660 |
366
+ | 0.2584 | 28.6364 | 630 | 1.3518 | 0.1142 | 1.3518 | 1.1627 |
367
+ | 0.2584 | 28.7273 | 632 | 1.3580 | 0.1142 | 1.3580 | 1.1653 |
368
+ | 0.2584 | 28.8182 | 634 | 1.3517 | 0.1142 | 1.3517 | 1.1626 |
369
+ | 0.2584 | 28.9091 | 636 | 1.3340 | 0.1142 | 1.3340 | 1.1550 |
370
+ | 0.2584 | 29.0 | 638 | 1.3400 | 0.1486 | 1.3400 | 1.1576 |
371
+ | 0.2584 | 29.0909 | 640 | 1.3228 | 0.1142 | 1.3228 | 1.1501 |
372
+ | 0.2584 | 29.1818 | 642 | 1.3415 | 0.2424 | 1.3415 | 1.1582 |
373
+ | 0.2584 | 29.2727 | 644 | 1.3611 | 0.2424 | 1.3611 | 1.1667 |
374
+ | 0.2584 | 29.3636 | 646 | 1.3794 | 0.2424 | 1.3794 | 1.1745 |
375
+ | 0.2584 | 29.4545 | 648 | 1.4139 | 0.2424 | 1.4139 | 1.1891 |
376
+ | 0.2584 | 29.5455 | 650 | 1.4546 | 0.2126 | 1.4546 | 1.2061 |
377
+ | 0.2584 | 29.6364 | 652 | 1.4310 | 0.1228 | 1.4310 | 1.1962 |
378
+ | 0.2584 | 29.7273 | 654 | 1.4374 | 0.1142 | 1.4374 | 1.1989 |
379
+ | 0.2584 | 29.8182 | 656 | 1.4415 | 0.1228 | 1.4415 | 1.2006 |
380
+ | 0.2584 | 29.9091 | 658 | 1.4498 | 0.1228 | 1.4498 | 1.2041 |
381
+ | 0.2584 | 30.0 | 660 | 1.4604 | 0.1228 | 1.4604 | 1.2085 |
382
+ | 0.2584 | 30.0909 | 662 | 1.4713 | 0.1142 | 1.4713 | 1.2130 |
383
+ | 0.2584 | 30.1818 | 664 | 1.4895 | 0.1142 | 1.4895 | 1.2205 |
384
+ | 0.2584 | 30.2727 | 666 | 1.4706 | 0.1142 | 1.4706 | 1.2127 |
385
+ | 0.2584 | 30.3636 | 668 | 1.4311 | 0.1142 | 1.4311 | 1.1963 |
386
+ | 0.2584 | 30.4545 | 670 | 1.3613 | 0.1142 | 1.3613 | 1.1667 |
387
+ | 0.2584 | 30.5455 | 672 | 1.3405 | 0.1142 | 1.3405 | 1.1578 |
388
+ | 0.2584 | 30.6364 | 674 | 1.3493 | 0.1562 | 1.3493 | 1.1616 |
389
+ | 0.2584 | 30.7273 | 676 | 1.3619 | 0.2184 | 1.3619 | 1.1670 |
390
+ | 0.2584 | 30.8182 | 678 | 1.3492 | 0.2126 | 1.3492 | 1.1615 |
391
+ | 0.2584 | 30.9091 | 680 | 1.3372 | 0.1142 | 1.3372 | 1.1564 |
392
+ | 0.2584 | 31.0 | 682 | 1.3236 | 0.1142 | 1.3236 | 1.1505 |
393
+ | 0.2584 | 31.0909 | 684 | 1.2959 | 0.0401 | 1.2959 | 1.1384 |
394
+ | 0.2584 | 31.1818 | 686 | 1.2994 | 0.0401 | 1.2994 | 1.1399 |
395
+ | 0.2584 | 31.2727 | 688 | 1.3213 | 0.0781 | 1.3213 | 1.1495 |
396
+ | 0.2584 | 31.3636 | 690 | 1.3851 | 0.1142 | 1.3851 | 1.1769 |
397
+ | 0.2584 | 31.4545 | 692 | 1.4292 | 0.1228 | 1.4292 | 1.1955 |
398
+ | 0.2584 | 31.5455 | 694 | 1.4395 | 0.1814 | 1.4395 | 1.1998 |
399
+ | 0.2584 | 31.6364 | 696 | 1.4132 | 0.1228 | 1.4132 | 1.1888 |
400
+ | 0.2584 | 31.7273 | 698 | 1.3766 | 0.1142 | 1.3766 | 1.1733 |
401
+ | 0.2584 | 31.8182 | 700 | 1.3626 | 0.1228 | 1.3626 | 1.1673 |
402
+ | 0.2584 | 31.9091 | 702 | 1.3810 | 0.2424 | 1.3810 | 1.1752 |
403
+ | 0.2584 | 32.0 | 704 | 1.3676 | 0.2424 | 1.3676 | 1.1695 |
404
+ | 0.2584 | 32.0909 | 706 | 1.3331 | 0.2709 | 1.3331 | 1.1546 |
405
+ | 0.2584 | 32.1818 | 708 | 1.3234 | 0.2709 | 1.3234 | 1.1504 |
406
+ | 0.2584 | 32.2727 | 710 | 1.2931 | 0.2126 | 1.2931 | 1.1371 |
407
+ | 0.2584 | 32.3636 | 712 | 1.2936 | 0.1700 | 1.2936 | 1.1374 |
408
+ | 0.2584 | 32.4545 | 714 | 1.3382 | 0.1228 | 1.3382 | 1.1568 |
409
+ | 0.2584 | 32.5455 | 716 | 1.3876 | 0.1228 | 1.3876 | 1.1779 |
410
+ | 0.2584 | 32.6364 | 718 | 1.4444 | 0.1228 | 1.4444 | 1.2018 |
411
+ | 0.2584 | 32.7273 | 720 | 1.4436 | 0.1228 | 1.4436 | 1.2015 |
412
+ | 0.2584 | 32.8182 | 722 | 1.4090 | 0.1142 | 1.4090 | 1.1870 |
413
+ | 0.2584 | 32.9091 | 724 | 1.4080 | 0.1228 | 1.4080 | 1.1866 |
414
+ | 0.2584 | 33.0 | 726 | 1.3791 | 0.1228 | 1.3791 | 1.1744 |
415
+ | 0.2584 | 33.0909 | 728 | 1.3549 | 0.1700 | 1.3549 | 1.1640 |
416
+ | 0.2584 | 33.1818 | 730 | 1.3757 | 0.2837 | 1.3757 | 1.1729 |
417
+ | 0.2584 | 33.2727 | 732 | 1.3276 | 0.2877 | 1.3276 | 1.1522 |
418
+ | 0.2584 | 33.3636 | 734 | 1.2928 | 0.2555 | 1.2928 | 1.1370 |
419
+ | 0.2584 | 33.4545 | 736 | 1.3040 | 0.2709 | 1.3040 | 1.1419 |
420
+ | 0.2584 | 33.5455 | 738 | 1.3702 | 0.2793 | 1.3702 | 1.1706 |
421
+ | 0.2584 | 33.6364 | 740 | 1.4061 | 0.2793 | 1.4061 | 1.1858 |
422
+ | 0.2584 | 33.7273 | 742 | 1.4000 | 0.2752 | 1.4000 | 1.1832 |
423
+ | 0.2584 | 33.8182 | 744 | 1.3653 | 0.2709 | 1.3653 | 1.1685 |
424
+ | 0.2584 | 33.9091 | 746 | 1.3312 | 0.2126 | 1.3312 | 1.1538 |
425
+ | 0.2584 | 34.0 | 748 | 1.2836 | 0.1228 | 1.2836 | 1.1330 |
426
+ | 0.2584 | 34.0909 | 750 | 1.2310 | 0.1142 | 1.2310 | 1.1095 |
427
+ | 0.2584 | 34.1818 | 752 | 1.2450 | 0.0781 | 1.2450 | 1.1158 |
428
+ | 0.2584 | 34.2727 | 754 | 1.3155 | 0.0781 | 1.3155 | 1.1470 |
429
+ | 0.2584 | 34.3636 | 756 | 1.3730 | 0.1142 | 1.3730 | 1.1718 |
430
+ | 0.2584 | 34.4545 | 758 | 1.3933 | 0.1142 | 1.3933 | 1.1804 |
431
+ | 0.2584 | 34.5455 | 760 | 1.3938 | 0.0781 | 1.3938 | 1.1806 |
432
+ | 0.2584 | 34.6364 | 762 | 1.3904 | 0.0781 | 1.3904 | 1.1792 |
433
+ | 0.2584 | 34.7273 | 764 | 1.4128 | 0.1142 | 1.4128 | 1.1886 |
434
+ | 0.2584 | 34.8182 | 766 | 1.4369 | 0.1814 | 1.4369 | 1.1987 |
435
+ | 0.2584 | 34.9091 | 768 | 1.4504 | 0.2752 | 1.4504 | 1.2043 |
436
+ | 0.2584 | 35.0 | 770 | 1.4260 | 0.2752 | 1.4260 | 1.1941 |
437
+ | 0.2584 | 35.0909 | 772 | 1.3727 | 0.2126 | 1.3727 | 1.1716 |
438
+ | 0.2584 | 35.1818 | 774 | 1.3457 | 0.2126 | 1.3457 | 1.1600 |
439
+ | 0.2584 | 35.2727 | 776 | 1.3256 | 0.1562 | 1.3256 | 1.1514 |
440
+ | 0.2584 | 35.3636 | 778 | 1.2957 | 0.1228 | 1.2957 | 1.1383 |
441
+ | 0.2584 | 35.4545 | 780 | 1.2488 | 0.0781 | 1.2488 | 1.1175 |
442
+ | 0.2584 | 35.5455 | 782 | 1.2390 | 0.0781 | 1.2390 | 1.1131 |
443
+ | 0.2584 | 35.6364 | 784 | 1.2442 | 0.0781 | 1.2442 | 1.1154 |
444
+ | 0.2584 | 35.7273 | 786 | 1.2738 | 0.0401 | 1.2738 | 1.1286 |
445
+ | 0.2584 | 35.8182 | 788 | 1.3148 | 0.0401 | 1.3148 | 1.1467 |
446
+
447
+
448
+ ### Framework versions
449
+
450
+ - Transformers 4.44.2
451
+ - Pytorch 2.4.0+cu118
452
+ - Datasets 2.21.0
453
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "aubmindlab/bert-base-arabertv02",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "LABEL_0"
13
+ },
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 3072,
16
+ "label2id": {
17
+ "LABEL_0": 0
18
+ },
19
+ "layer_norm_eps": 1e-12,
20
+ "max_position_embeddings": 512,
21
+ "model_type": "bert",
22
+ "num_attention_heads": 12,
23
+ "num_hidden_layers": 12,
24
+ "pad_token_id": 0,
25
+ "position_embedding_type": "absolute",
26
+ "problem_type": "regression",
27
+ "torch_dtype": "float32",
28
+ "transformers_version": "4.44.2",
29
+ "type_vocab_size": 2,
30
+ "use_cache": true,
31
+ "vocab_size": 64000
32
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80a3af7ba46c87d492a75435ddf7e7cb5380919a672c3cba89d2b68200c00a15
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:694f5f1a4285cccbae2c761a891a14ae0b2312df3de617890b6417d1b5dbdb66
3
+ size 5304