MayBashendy commited on
Commit
2400af2
·
verified ·
1 Parent(s): f37115f

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +457 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,457 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task7_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_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task7_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: 0.5721
19
+ - Qwk: 0.4949
20
+ - Mse: 0.5721
21
+ - Rmse: 0.7564
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 | 0.0952 | 2 | 2.7899 | -0.0951 | 2.7899 | 1.6703 |
53
+ | No log | 0.1905 | 4 | 1.3704 | 0.0985 | 1.3704 | 1.1706 |
54
+ | No log | 0.2857 | 6 | 1.0194 | -0.1408 | 1.0194 | 1.0097 |
55
+ | No log | 0.3810 | 8 | 0.7830 | 0.1138 | 0.7830 | 0.8849 |
56
+ | No log | 0.4762 | 10 | 0.7333 | 0.1448 | 0.7333 | 0.8563 |
57
+ | No log | 0.5714 | 12 | 0.7415 | 0.2352 | 0.7415 | 0.8611 |
58
+ | No log | 0.6667 | 14 | 0.6959 | 0.1303 | 0.6959 | 0.8342 |
59
+ | No log | 0.7619 | 16 | 0.7851 | 0.3060 | 0.7851 | 0.8861 |
60
+ | No log | 0.8571 | 18 | 0.9009 | 0.2784 | 0.9009 | 0.9491 |
61
+ | No log | 0.9524 | 20 | 1.1079 | 0.2009 | 1.1079 | 1.0526 |
62
+ | No log | 1.0476 | 22 | 1.0284 | 0.1998 | 1.0284 | 1.0141 |
63
+ | No log | 1.1429 | 24 | 0.7437 | 0.3383 | 0.7437 | 0.8624 |
64
+ | No log | 1.2381 | 26 | 0.7415 | 0.3425 | 0.7415 | 0.8611 |
65
+ | No log | 1.3333 | 28 | 0.9383 | 0.2097 | 0.9383 | 0.9687 |
66
+ | No log | 1.4286 | 30 | 1.1844 | 0.2169 | 1.1844 | 1.0883 |
67
+ | No log | 1.5238 | 32 | 1.0143 | 0.2581 | 1.0143 | 1.0071 |
68
+ | No log | 1.6190 | 34 | 0.7732 | 0.3013 | 0.7732 | 0.8793 |
69
+ | No log | 1.7143 | 36 | 0.5652 | 0.5227 | 0.5652 | 0.7518 |
70
+ | No log | 1.8095 | 38 | 0.5521 | 0.5227 | 0.5521 | 0.7431 |
71
+ | No log | 1.9048 | 40 | 0.7112 | 0.3243 | 0.7112 | 0.8433 |
72
+ | No log | 2.0 | 42 | 0.9715 | 0.2820 | 0.9715 | 0.9856 |
73
+ | No log | 2.0952 | 44 | 1.1869 | 0.2155 | 1.1869 | 1.0894 |
74
+ | No log | 2.1905 | 46 | 1.3222 | 0.2155 | 1.3222 | 1.1499 |
75
+ | No log | 2.2857 | 48 | 1.0475 | 0.2421 | 1.0475 | 1.0235 |
76
+ | No log | 2.3810 | 50 | 0.7044 | 0.4341 | 0.7044 | 0.8393 |
77
+ | No log | 2.4762 | 52 | 0.7278 | 0.3783 | 0.7278 | 0.8531 |
78
+ | No log | 2.5714 | 54 | 0.8027 | 0.3909 | 0.8027 | 0.8959 |
79
+ | No log | 2.6667 | 56 | 0.8954 | 0.2846 | 0.8954 | 0.9463 |
80
+ | No log | 2.7619 | 58 | 0.9846 | 0.3024 | 0.9846 | 0.9923 |
81
+ | No log | 2.8571 | 60 | 0.8601 | 0.2958 | 0.8601 | 0.9274 |
82
+ | No log | 2.9524 | 62 | 0.5725 | 0.3719 | 0.5725 | 0.7567 |
83
+ | No log | 3.0476 | 64 | 0.5498 | 0.3659 | 0.5498 | 0.7415 |
84
+ | No log | 3.1429 | 66 | 0.6617 | 0.3894 | 0.6617 | 0.8135 |
85
+ | No log | 3.2381 | 68 | 0.6943 | 0.4251 | 0.6943 | 0.8333 |
86
+ | No log | 3.3333 | 70 | 0.5760 | 0.3546 | 0.5760 | 0.7589 |
87
+ | No log | 3.4286 | 72 | 0.5807 | 0.2024 | 0.5807 | 0.7620 |
88
+ | No log | 3.5238 | 74 | 0.5929 | 0.3426 | 0.5929 | 0.7700 |
89
+ | No log | 3.6190 | 76 | 0.5737 | 0.3993 | 0.5737 | 0.7575 |
90
+ | No log | 3.7143 | 78 | 0.7326 | 0.3921 | 0.7326 | 0.8559 |
91
+ | No log | 3.8095 | 80 | 0.9303 | 0.3786 | 0.9303 | 0.9645 |
92
+ | No log | 3.9048 | 82 | 0.8947 | 0.3826 | 0.8947 | 0.9459 |
93
+ | No log | 4.0 | 84 | 0.8918 | 0.36 | 0.8918 | 0.9444 |
94
+ | No log | 4.0952 | 86 | 0.8437 | 0.3719 | 0.8437 | 0.9185 |
95
+ | No log | 4.1905 | 88 | 0.6448 | 0.4434 | 0.6448 | 0.8030 |
96
+ | No log | 4.2857 | 90 | 0.5321 | 0.4726 | 0.5321 | 0.7295 |
97
+ | No log | 4.3810 | 92 | 0.5240 | 0.4493 | 0.5240 | 0.7239 |
98
+ | No log | 4.4762 | 94 | 0.5166 | 0.5323 | 0.5166 | 0.7188 |
99
+ | No log | 4.5714 | 96 | 0.5899 | 0.5015 | 0.5899 | 0.7681 |
100
+ | No log | 4.6667 | 98 | 0.6862 | 0.3913 | 0.6862 | 0.8284 |
101
+ | No log | 4.7619 | 100 | 0.6969 | 0.4142 | 0.6969 | 0.8348 |
102
+ | No log | 4.8571 | 102 | 0.8428 | 0.4383 | 0.8428 | 0.9180 |
103
+ | No log | 4.9524 | 104 | 0.7977 | 0.4177 | 0.7977 | 0.8931 |
104
+ | No log | 5.0476 | 106 | 0.7982 | 0.4338 | 0.7982 | 0.8934 |
105
+ | No log | 5.1429 | 108 | 0.9032 | 0.4068 | 0.9032 | 0.9503 |
106
+ | No log | 5.2381 | 110 | 0.8245 | 0.4068 | 0.8245 | 0.9080 |
107
+ | No log | 5.3333 | 112 | 0.7278 | 0.4496 | 0.7278 | 0.8531 |
108
+ | No log | 5.4286 | 114 | 0.7433 | 0.4286 | 0.7433 | 0.8621 |
109
+ | No log | 5.5238 | 116 | 0.8742 | 0.3882 | 0.8742 | 0.9350 |
110
+ | No log | 5.6190 | 118 | 0.8140 | 0.4088 | 0.8140 | 0.9022 |
111
+ | No log | 5.7143 | 120 | 0.5256 | 0.5339 | 0.5256 | 0.7250 |
112
+ | No log | 5.8095 | 122 | 0.4962 | 0.5816 | 0.4962 | 0.7044 |
113
+ | No log | 5.9048 | 124 | 0.4961 | 0.5926 | 0.4961 | 0.7043 |
114
+ | No log | 6.0 | 126 | 0.7572 | 0.4032 | 0.7572 | 0.8702 |
115
+ | No log | 6.0952 | 128 | 0.9126 | 0.2702 | 0.9126 | 0.9553 |
116
+ | No log | 6.1905 | 130 | 0.7171 | 0.4057 | 0.7171 | 0.8468 |
117
+ | No log | 6.2857 | 132 | 0.5305 | 0.5238 | 0.5305 | 0.7284 |
118
+ | No log | 6.3810 | 134 | 0.5382 | 0.5934 | 0.5382 | 0.7336 |
119
+ | No log | 6.4762 | 136 | 0.5816 | 0.5092 | 0.5816 | 0.7626 |
120
+ | No log | 6.5714 | 138 | 0.6776 | 0.4477 | 0.6776 | 0.8232 |
121
+ | No log | 6.6667 | 140 | 0.7870 | 0.4098 | 0.7870 | 0.8872 |
122
+ | No log | 6.7619 | 142 | 0.6333 | 0.4063 | 0.6333 | 0.7958 |
123
+ | No log | 6.8571 | 144 | 0.4976 | 0.6553 | 0.4976 | 0.7054 |
124
+ | No log | 6.9524 | 146 | 0.5166 | 0.6065 | 0.5166 | 0.7187 |
125
+ | No log | 7.0476 | 148 | 0.4875 | 0.6750 | 0.4875 | 0.6982 |
126
+ | No log | 7.1429 | 150 | 0.5918 | 0.4359 | 0.5918 | 0.7693 |
127
+ | No log | 7.2381 | 152 | 0.6167 | 0.4377 | 0.6167 | 0.7853 |
128
+ | No log | 7.3333 | 154 | 0.5446 | 0.4654 | 0.5446 | 0.7380 |
129
+ | No log | 7.4286 | 156 | 0.5167 | 0.5538 | 0.5167 | 0.7188 |
130
+ | No log | 7.5238 | 158 | 0.6215 | 0.4170 | 0.6215 | 0.7884 |
131
+ | No log | 7.6190 | 160 | 0.7565 | 0.4367 | 0.7565 | 0.8698 |
132
+ | No log | 7.7143 | 162 | 0.7308 | 0.4204 | 0.7308 | 0.8548 |
133
+ | No log | 7.8095 | 164 | 0.6811 | 0.4297 | 0.6811 | 0.8253 |
134
+ | No log | 7.9048 | 166 | 0.5301 | 0.5710 | 0.5301 | 0.7281 |
135
+ | No log | 8.0 | 168 | 0.5326 | 0.6175 | 0.5326 | 0.7298 |
136
+ | No log | 8.0952 | 170 | 0.5328 | 0.5933 | 0.5328 | 0.7299 |
137
+ | No log | 8.1905 | 172 | 0.5604 | 0.5642 | 0.5604 | 0.7486 |
138
+ | No log | 8.2857 | 174 | 0.5530 | 0.6053 | 0.5530 | 0.7436 |
139
+ | No log | 8.3810 | 176 | 0.5095 | 0.6272 | 0.5095 | 0.7138 |
140
+ | No log | 8.4762 | 178 | 0.5504 | 0.6259 | 0.5504 | 0.7419 |
141
+ | No log | 8.5714 | 180 | 0.4984 | 0.6355 | 0.4984 | 0.7060 |
142
+ | No log | 8.6667 | 182 | 0.5217 | 0.5483 | 0.5217 | 0.7223 |
143
+ | No log | 8.7619 | 184 | 0.8323 | 0.4429 | 0.8323 | 0.9123 |
144
+ | No log | 8.8571 | 186 | 0.9909 | 0.3844 | 0.9909 | 0.9955 |
145
+ | No log | 8.9524 | 188 | 0.8267 | 0.4092 | 0.8267 | 0.9092 |
146
+ | No log | 9.0476 | 190 | 0.5592 | 0.4875 | 0.5592 | 0.7478 |
147
+ | No log | 9.1429 | 192 | 0.4833 | 0.6210 | 0.4833 | 0.6952 |
148
+ | No log | 9.2381 | 194 | 0.4862 | 0.5854 | 0.4862 | 0.6973 |
149
+ | No log | 9.3333 | 196 | 0.5420 | 0.4997 | 0.5420 | 0.7362 |
150
+ | No log | 9.4286 | 198 | 0.5008 | 0.5663 | 0.5008 | 0.7076 |
151
+ | No log | 9.5238 | 200 | 0.5223 | 0.5061 | 0.5223 | 0.7227 |
152
+ | No log | 9.6190 | 202 | 0.7190 | 0.4756 | 0.7190 | 0.8480 |
153
+ | No log | 9.7143 | 204 | 1.0940 | 0.2147 | 1.0940 | 1.0459 |
154
+ | No log | 9.8095 | 206 | 1.1986 | 0.1871 | 1.1986 | 1.0948 |
155
+ | No log | 9.9048 | 208 | 0.9849 | 0.2575 | 0.9849 | 0.9924 |
156
+ | No log | 10.0 | 210 | 0.6482 | 0.4825 | 0.6482 | 0.8051 |
157
+ | No log | 10.0952 | 212 | 0.4865 | 0.6351 | 0.4865 | 0.6975 |
158
+ | No log | 10.1905 | 214 | 0.4956 | 0.5816 | 0.4956 | 0.7040 |
159
+ | No log | 10.2857 | 216 | 0.5258 | 0.5555 | 0.5258 | 0.7251 |
160
+ | No log | 10.3810 | 218 | 0.5984 | 0.4841 | 0.5984 | 0.7736 |
161
+ | No log | 10.4762 | 220 | 0.5846 | 0.5135 | 0.5846 | 0.7646 |
162
+ | No log | 10.5714 | 222 | 0.5086 | 0.5305 | 0.5086 | 0.7132 |
163
+ | No log | 10.6667 | 224 | 0.5445 | 0.5420 | 0.5445 | 0.7379 |
164
+ | No log | 10.7619 | 226 | 0.5896 | 0.5101 | 0.5896 | 0.7679 |
165
+ | No log | 10.8571 | 228 | 0.5150 | 0.5852 | 0.5150 | 0.7176 |
166
+ | No log | 10.9524 | 230 | 0.5181 | 0.5227 | 0.5181 | 0.7198 |
167
+ | No log | 11.0476 | 232 | 0.5489 | 0.5208 | 0.5489 | 0.7409 |
168
+ | No log | 11.1429 | 234 | 0.5292 | 0.5432 | 0.5292 | 0.7274 |
169
+ | No log | 11.2381 | 236 | 0.4868 | 0.5986 | 0.4868 | 0.6977 |
170
+ | No log | 11.3333 | 238 | 0.4804 | 0.5986 | 0.4804 | 0.6931 |
171
+ | No log | 11.4286 | 240 | 0.4755 | 0.5899 | 0.4755 | 0.6895 |
172
+ | No log | 11.5238 | 242 | 0.5016 | 0.5672 | 0.5016 | 0.7082 |
173
+ | No log | 11.6190 | 244 | 0.5197 | 0.5495 | 0.5197 | 0.7209 |
174
+ | No log | 11.7143 | 246 | 0.4735 | 0.5446 | 0.4735 | 0.6881 |
175
+ | No log | 11.8095 | 248 | 0.4694 | 0.6422 | 0.4694 | 0.6851 |
176
+ | No log | 11.9048 | 250 | 0.4570 | 0.6452 | 0.4570 | 0.6760 |
177
+ | No log | 12.0 | 252 | 0.4875 | 0.6292 | 0.4876 | 0.6982 |
178
+ | No log | 12.0952 | 254 | 0.6391 | 0.5003 | 0.6391 | 0.7995 |
179
+ | No log | 12.1905 | 256 | 0.8847 | 0.3683 | 0.8847 | 0.9406 |
180
+ | No log | 12.2857 | 258 | 0.8640 | 0.3683 | 0.8640 | 0.9295 |
181
+ | No log | 12.3810 | 260 | 0.6697 | 0.4884 | 0.6697 | 0.8184 |
182
+ | No log | 12.4762 | 262 | 0.4902 | 0.5904 | 0.4902 | 0.7002 |
183
+ | No log | 12.5714 | 264 | 0.4649 | 0.6730 | 0.4649 | 0.6818 |
184
+ | No log | 12.6667 | 266 | 0.4599 | 0.6727 | 0.4599 | 0.6781 |
185
+ | No log | 12.7619 | 268 | 0.4565 | 0.5672 | 0.4565 | 0.6756 |
186
+ | No log | 12.8571 | 270 | 0.5577 | 0.5933 | 0.5577 | 0.7468 |
187
+ | No log | 12.9524 | 272 | 0.6624 | 0.5281 | 0.6624 | 0.8139 |
188
+ | No log | 13.0476 | 274 | 0.6257 | 0.5643 | 0.6257 | 0.7910 |
189
+ | No log | 13.1429 | 276 | 0.5695 | 0.5636 | 0.5695 | 0.7547 |
190
+ | No log | 13.2381 | 278 | 0.5360 | 0.5678 | 0.5360 | 0.7321 |
191
+ | No log | 13.3333 | 280 | 0.4990 | 0.5943 | 0.4990 | 0.7064 |
192
+ | No log | 13.4286 | 282 | 0.4721 | 0.6641 | 0.4721 | 0.6871 |
193
+ | No log | 13.5238 | 284 | 0.4688 | 0.7149 | 0.4688 | 0.6847 |
194
+ | No log | 13.6190 | 286 | 0.4632 | 0.5672 | 0.4632 | 0.6806 |
195
+ | No log | 13.7143 | 288 | 0.5551 | 0.5315 | 0.5551 | 0.7450 |
196
+ | No log | 13.8095 | 290 | 0.6015 | 0.5464 | 0.6015 | 0.7756 |
197
+ | No log | 13.9048 | 292 | 0.5865 | 0.5441 | 0.5865 | 0.7659 |
198
+ | No log | 14.0 | 294 | 0.6261 | 0.4844 | 0.6261 | 0.7912 |
199
+ | No log | 14.0952 | 296 | 0.5633 | 0.6146 | 0.5633 | 0.7505 |
200
+ | No log | 14.1905 | 298 | 0.5130 | 0.5642 | 0.5130 | 0.7163 |
201
+ | No log | 14.2857 | 300 | 0.4679 | 0.5840 | 0.4679 | 0.6841 |
202
+ | No log | 14.3810 | 302 | 0.4702 | 0.5904 | 0.4702 | 0.6857 |
203
+ | No log | 14.4762 | 304 | 0.5066 | 0.5999 | 0.5066 | 0.7118 |
204
+ | No log | 14.5714 | 306 | 0.5293 | 0.5569 | 0.5293 | 0.7275 |
205
+ | No log | 14.6667 | 308 | 0.6269 | 0.4327 | 0.6269 | 0.7917 |
206
+ | No log | 14.7619 | 310 | 0.6560 | 0.4703 | 0.6560 | 0.8099 |
207
+ | No log | 14.8571 | 312 | 0.5914 | 0.4986 | 0.5914 | 0.7690 |
208
+ | No log | 14.9524 | 314 | 0.6514 | 0.4494 | 0.6514 | 0.8071 |
209
+ | No log | 15.0476 | 316 | 0.5918 | 0.4765 | 0.5918 | 0.7693 |
210
+ | No log | 15.1429 | 318 | 0.6037 | 0.4765 | 0.6037 | 0.7770 |
211
+ | No log | 15.2381 | 320 | 0.5797 | 0.4886 | 0.5797 | 0.7614 |
212
+ | No log | 15.3333 | 322 | 0.5635 | 0.5161 | 0.5635 | 0.7506 |
213
+ | No log | 15.4286 | 324 | 0.5071 | 0.5422 | 0.5071 | 0.7121 |
214
+ | No log | 15.5238 | 326 | 0.4829 | 0.6292 | 0.4829 | 0.6949 |
215
+ | No log | 15.6190 | 328 | 0.4775 | 0.6170 | 0.4775 | 0.6910 |
216
+ | No log | 15.7143 | 330 | 0.4954 | 0.5736 | 0.4954 | 0.7038 |
217
+ | No log | 15.8095 | 332 | 0.5058 | 0.5523 | 0.5058 | 0.7112 |
218
+ | No log | 15.9048 | 334 | 0.5439 | 0.5918 | 0.5439 | 0.7375 |
219
+ | No log | 16.0 | 336 | 0.5355 | 0.5918 | 0.5355 | 0.7318 |
220
+ | No log | 16.0952 | 338 | 0.5206 | 0.5702 | 0.5206 | 0.7215 |
221
+ | No log | 16.1905 | 340 | 0.5094 | 0.5702 | 0.5094 | 0.7137 |
222
+ | No log | 16.2857 | 342 | 0.5199 | 0.5283 | 0.5199 | 0.7210 |
223
+ | No log | 16.3810 | 344 | 0.5338 | 0.5065 | 0.5338 | 0.7306 |
224
+ | No log | 16.4762 | 346 | 0.5741 | 0.5083 | 0.5741 | 0.7577 |
225
+ | No log | 16.5714 | 348 | 0.5955 | 0.5407 | 0.5955 | 0.7717 |
226
+ | No log | 16.6667 | 350 | 0.5320 | 0.5283 | 0.5320 | 0.7294 |
227
+ | No log | 16.7619 | 352 | 0.5093 | 0.5479 | 0.5093 | 0.7137 |
228
+ | No log | 16.8571 | 354 | 0.4941 | 0.5195 | 0.4941 | 0.7029 |
229
+ | No log | 16.9524 | 356 | 0.4893 | 0.5143 | 0.4893 | 0.6995 |
230
+ | No log | 17.0476 | 358 | 0.5213 | 0.5512 | 0.5213 | 0.7220 |
231
+ | No log | 17.1429 | 360 | 0.6193 | 0.5263 | 0.6193 | 0.7869 |
232
+ | No log | 17.2381 | 362 | 0.6237 | 0.5051 | 0.6237 | 0.7897 |
233
+ | No log | 17.3333 | 364 | 0.5408 | 0.5512 | 0.5408 | 0.7354 |
234
+ | No log | 17.4286 | 366 | 0.4909 | 0.4923 | 0.4909 | 0.7006 |
235
+ | No log | 17.5238 | 368 | 0.4923 | 0.5009 | 0.4923 | 0.7016 |
236
+ | No log | 17.6190 | 370 | 0.5182 | 0.5512 | 0.5182 | 0.7199 |
237
+ | No log | 17.7143 | 372 | 0.5210 | 0.5512 | 0.5210 | 0.7218 |
238
+ | No log | 17.8095 | 374 | 0.5023 | 0.5495 | 0.5023 | 0.7088 |
239
+ | No log | 17.9048 | 376 | 0.5280 | 0.5512 | 0.5280 | 0.7267 |
240
+ | No log | 18.0 | 378 | 0.5081 | 0.5495 | 0.5081 | 0.7128 |
241
+ | No log | 18.0952 | 380 | 0.4967 | 0.5495 | 0.4967 | 0.7047 |
242
+ | No log | 18.1905 | 382 | 0.5296 | 0.5283 | 0.5296 | 0.7277 |
243
+ | No log | 18.2857 | 384 | 0.5298 | 0.5283 | 0.5298 | 0.7279 |
244
+ | No log | 18.3810 | 386 | 0.5295 | 0.5283 | 0.5295 | 0.7277 |
245
+ | No log | 18.4762 | 388 | 0.5123 | 0.5283 | 0.5123 | 0.7157 |
246
+ | No log | 18.5714 | 390 | 0.4905 | 0.5495 | 0.4905 | 0.7003 |
247
+ | No log | 18.6667 | 392 | 0.5072 | 0.5495 | 0.5072 | 0.7122 |
248
+ | No log | 18.7619 | 394 | 0.5277 | 0.5512 | 0.5277 | 0.7265 |
249
+ | No log | 18.8571 | 396 | 0.5174 | 0.5718 | 0.5174 | 0.7193 |
250
+ | No log | 18.9524 | 398 | 0.4881 | 0.5495 | 0.4881 | 0.6986 |
251
+ | No log | 19.0476 | 400 | 0.4974 | 0.5495 | 0.4974 | 0.7053 |
252
+ | No log | 19.1429 | 402 | 0.4741 | 0.6197 | 0.4741 | 0.6886 |
253
+ | No log | 19.2381 | 404 | 0.4548 | 0.6751 | 0.4548 | 0.6744 |
254
+ | No log | 19.3333 | 406 | 0.4452 | 0.6577 | 0.4452 | 0.6672 |
255
+ | No log | 19.4286 | 408 | 0.4611 | 0.6197 | 0.4611 | 0.6790 |
256
+ | No log | 19.5238 | 410 | 0.4866 | 0.5718 | 0.4866 | 0.6976 |
257
+ | No log | 19.6190 | 412 | 0.4834 | 0.5718 | 0.4834 | 0.6953 |
258
+ | No log | 19.7143 | 414 | 0.4674 | 0.5702 | 0.4674 | 0.6837 |
259
+ | No log | 19.8095 | 416 | 0.4457 | 0.5687 | 0.4457 | 0.6676 |
260
+ | No log | 19.9048 | 418 | 0.4417 | 0.5831 | 0.4417 | 0.6646 |
261
+ | No log | 20.0 | 420 | 0.4458 | 0.5687 | 0.4458 | 0.6677 |
262
+ | No log | 20.0952 | 422 | 0.4473 | 0.6577 | 0.4473 | 0.6688 |
263
+ | No log | 20.1905 | 424 | 0.4837 | 0.5841 | 0.4837 | 0.6955 |
264
+ | No log | 20.2857 | 426 | 0.5152 | 0.5970 | 0.5152 | 0.7178 |
265
+ | No log | 20.3810 | 428 | 0.5083 | 0.6092 | 0.5083 | 0.7129 |
266
+ | No log | 20.4762 | 430 | 0.4474 | 0.6771 | 0.4474 | 0.6689 |
267
+ | No log | 20.5714 | 432 | 0.4626 | 0.6771 | 0.4626 | 0.6801 |
268
+ | No log | 20.6667 | 434 | 0.5368 | 0.5249 | 0.5368 | 0.7327 |
269
+ | No log | 20.7619 | 436 | 0.5461 | 0.4949 | 0.5461 | 0.7390 |
270
+ | No log | 20.8571 | 438 | 0.4914 | 0.5718 | 0.4914 | 0.7010 |
271
+ | No log | 20.9524 | 440 | 0.4470 | 0.6542 | 0.4470 | 0.6686 |
272
+ | No log | 21.0476 | 442 | 0.4428 | 0.6542 | 0.4428 | 0.6654 |
273
+ | No log | 21.1429 | 444 | 0.4455 | 0.6832 | 0.4455 | 0.6675 |
274
+ | No log | 21.2381 | 446 | 0.4491 | 0.6140 | 0.4491 | 0.6701 |
275
+ | No log | 21.3333 | 448 | 0.4916 | 0.5587 | 0.4916 | 0.7012 |
276
+ | No log | 21.4286 | 450 | 0.5640 | 0.5247 | 0.5640 | 0.7510 |
277
+ | No log | 21.5238 | 452 | 0.6266 | 0.4943 | 0.6266 | 0.7916 |
278
+ | No log | 21.6190 | 454 | 0.6061 | 0.4926 | 0.6061 | 0.7785 |
279
+ | No log | 21.7143 | 456 | 0.6278 | 0.5093 | 0.6278 | 0.7923 |
280
+ | No log | 21.8095 | 458 | 0.5383 | 0.5331 | 0.5383 | 0.7337 |
281
+ | No log | 21.9048 | 460 | 0.4704 | 0.5718 | 0.4704 | 0.6859 |
282
+ | No log | 22.0 | 462 | 0.4414 | 0.6197 | 0.4414 | 0.6644 |
283
+ | No log | 22.0952 | 464 | 0.4356 | 0.6197 | 0.4356 | 0.6600 |
284
+ | No log | 22.1905 | 466 | 0.4997 | 0.5438 | 0.4997 | 0.7069 |
285
+ | No log | 22.2857 | 468 | 0.5618 | 0.5558 | 0.5618 | 0.7496 |
286
+ | No log | 22.3810 | 470 | 0.5263 | 0.5334 | 0.5263 | 0.7255 |
287
+ | No log | 22.4762 | 472 | 0.4491 | 0.5495 | 0.4491 | 0.6702 |
288
+ | No log | 22.5714 | 474 | 0.4172 | 0.6750 | 0.4172 | 0.6459 |
289
+ | No log | 22.6667 | 476 | 0.4213 | 0.6852 | 0.4213 | 0.6490 |
290
+ | No log | 22.7619 | 478 | 0.4638 | 0.5495 | 0.4638 | 0.6810 |
291
+ | No log | 22.8571 | 480 | 0.4951 | 0.5642 | 0.4951 | 0.7036 |
292
+ | No log | 22.9524 | 482 | 0.5157 | 0.5095 | 0.5157 | 0.7181 |
293
+ | No log | 23.0476 | 484 | 0.5381 | 0.5195 | 0.5381 | 0.7336 |
294
+ | No log | 23.1429 | 486 | 0.5008 | 0.5299 | 0.5008 | 0.7076 |
295
+ | No log | 23.2381 | 488 | 0.4540 | 0.5611 | 0.4540 | 0.6738 |
296
+ | No log | 23.3333 | 490 | 0.4391 | 0.6577 | 0.4391 | 0.6627 |
297
+ | No log | 23.4286 | 492 | 0.4824 | 0.5455 | 0.4824 | 0.6946 |
298
+ | No log | 23.5238 | 494 | 0.5583 | 0.5112 | 0.5583 | 0.7472 |
299
+ | No log | 23.6190 | 496 | 0.5699 | 0.5195 | 0.5699 | 0.7549 |
300
+ | No log | 23.7143 | 498 | 0.5366 | 0.5247 | 0.5366 | 0.7326 |
301
+ | 0.2938 | 23.8095 | 500 | 0.4815 | 0.5065 | 0.4815 | 0.6939 |
302
+ | 0.2938 | 23.9048 | 502 | 0.4885 | 0.5065 | 0.4885 | 0.6989 |
303
+ | 0.2938 | 24.0 | 504 | 0.5158 | 0.4927 | 0.5158 | 0.7182 |
304
+ | 0.2938 | 24.0952 | 506 | 0.4987 | 0.5226 | 0.4987 | 0.7062 |
305
+ | 0.2938 | 24.1905 | 508 | 0.4777 | 0.5510 | 0.4777 | 0.6912 |
306
+ | 0.2938 | 24.2857 | 510 | 0.4552 | 0.5227 | 0.4552 | 0.6747 |
307
+ | 0.2938 | 24.3810 | 512 | 0.4523 | 0.5227 | 0.4523 | 0.6726 |
308
+ | 0.2938 | 24.4762 | 514 | 0.4750 | 0.5356 | 0.4750 | 0.6892 |
309
+ | 0.2938 | 24.5714 | 516 | 0.5304 | 0.5153 | 0.5304 | 0.7283 |
310
+ | 0.2938 | 24.6667 | 518 | 0.5341 | 0.5153 | 0.5341 | 0.7308 |
311
+ | 0.2938 | 24.7619 | 520 | 0.4779 | 0.5495 | 0.4779 | 0.6913 |
312
+ | 0.2938 | 24.8571 | 522 | 0.4663 | 0.6082 | 0.4663 | 0.6828 |
313
+ | 0.2938 | 24.9524 | 524 | 0.5044 | 0.5283 | 0.5044 | 0.7102 |
314
+ | 0.2938 | 25.0476 | 526 | 0.5704 | 0.4967 | 0.5704 | 0.7553 |
315
+ | 0.2938 | 25.1429 | 528 | 0.6376 | 0.4725 | 0.6376 | 0.7985 |
316
+ | 0.2938 | 25.2381 | 530 | 0.6279 | 0.5065 | 0.6279 | 0.7924 |
317
+ | 0.2938 | 25.3333 | 532 | 0.5885 | 0.4842 | 0.5885 | 0.7672 |
318
+ | 0.2938 | 25.4286 | 534 | 0.5076 | 0.5300 | 0.5076 | 0.7125 |
319
+ | 0.2938 | 25.5238 | 536 | 0.4933 | 0.5135 | 0.4933 | 0.7023 |
320
+ | 0.2938 | 25.6190 | 538 | 0.4680 | 0.5189 | 0.4680 | 0.6841 |
321
+ | 0.2938 | 25.7143 | 540 | 0.4599 | 0.5617 | 0.4599 | 0.6781 |
322
+ | 0.2938 | 25.8095 | 542 | 0.4818 | 0.5356 | 0.4818 | 0.6941 |
323
+ | 0.2938 | 25.9048 | 544 | 0.5031 | 0.4997 | 0.5031 | 0.7093 |
324
+ | 0.2938 | 26.0 | 546 | 0.4815 | 0.5571 | 0.4815 | 0.6939 |
325
+ | 0.2938 | 26.0952 | 548 | 0.4802 | 0.5479 | 0.4802 | 0.6930 |
326
+ | 0.2938 | 26.1905 | 550 | 0.4867 | 0.5406 | 0.4867 | 0.6976 |
327
+ | 0.2938 | 26.2857 | 552 | 0.5060 | 0.5895 | 0.5060 | 0.7114 |
328
+ | 0.2938 | 26.3810 | 554 | 0.5584 | 0.5567 | 0.5584 | 0.7472 |
329
+ | 0.2938 | 26.4762 | 556 | 0.5544 | 0.5567 | 0.5544 | 0.7446 |
330
+ | 0.2938 | 26.5714 | 558 | 0.5431 | 0.5378 | 0.5431 | 0.7369 |
331
+ | 0.2938 | 26.6667 | 560 | 0.5363 | 0.5378 | 0.5363 | 0.7323 |
332
+ | 0.2938 | 26.7619 | 562 | 0.4873 | 0.5406 | 0.4873 | 0.6981 |
333
+ | 0.2938 | 26.8571 | 564 | 0.4502 | 0.6330 | 0.4502 | 0.6710 |
334
+ | 0.2938 | 26.9524 | 566 | 0.4663 | 0.6490 | 0.4663 | 0.6828 |
335
+ | 0.2938 | 27.0476 | 568 | 0.4686 | 0.6060 | 0.4686 | 0.6846 |
336
+ | 0.2938 | 27.1429 | 570 | 0.4728 | 0.5846 | 0.4728 | 0.6876 |
337
+ | 0.2938 | 27.2381 | 572 | 0.5158 | 0.5283 | 0.5158 | 0.7182 |
338
+ | 0.2938 | 27.3333 | 574 | 0.5261 | 0.5299 | 0.5261 | 0.7253 |
339
+ | 0.2938 | 27.4286 | 576 | 0.4962 | 0.5212 | 0.4962 | 0.7044 |
340
+ | 0.2938 | 27.5238 | 578 | 0.4791 | 0.5999 | 0.4791 | 0.6921 |
341
+ | 0.2938 | 27.6190 | 580 | 0.4875 | 0.5283 | 0.4875 | 0.6982 |
342
+ | 0.2938 | 27.7143 | 582 | 0.5329 | 0.5095 | 0.5329 | 0.7300 |
343
+ | 0.2938 | 27.8095 | 584 | 0.5428 | 0.5178 | 0.5428 | 0.7368 |
344
+ | 0.2938 | 27.9048 | 586 | 0.5223 | 0.5300 | 0.5223 | 0.7227 |
345
+ | 0.2938 | 28.0 | 588 | 0.5020 | 0.5432 | 0.5020 | 0.7085 |
346
+ | 0.2938 | 28.0952 | 590 | 0.4965 | 0.5189 | 0.4965 | 0.7046 |
347
+ | 0.2938 | 28.1905 | 592 | 0.4894 | 0.5649 | 0.4894 | 0.6996 |
348
+ | 0.2938 | 28.2857 | 594 | 0.4712 | 0.5321 | 0.4712 | 0.6864 |
349
+ | 0.2938 | 28.3810 | 596 | 0.4714 | 0.6068 | 0.4714 | 0.6866 |
350
+ | 0.2938 | 28.4762 | 598 | 0.4893 | 0.5127 | 0.4893 | 0.6995 |
351
+ | 0.2938 | 28.5714 | 600 | 0.5061 | 0.5569 | 0.5061 | 0.7114 |
352
+ | 0.2938 | 28.6667 | 602 | 0.5160 | 0.5498 | 0.5160 | 0.7183 |
353
+ | 0.2938 | 28.7619 | 604 | 0.4844 | 0.5044 | 0.4844 | 0.6960 |
354
+ | 0.2938 | 28.8571 | 606 | 0.4614 | 0.5904 | 0.4614 | 0.6793 |
355
+ | 0.2938 | 28.9524 | 608 | 0.4626 | 0.5904 | 0.4626 | 0.6801 |
356
+ | 0.2938 | 29.0476 | 610 | 0.4746 | 0.5406 | 0.4746 | 0.6889 |
357
+ | 0.2938 | 29.1429 | 612 | 0.4873 | 0.5495 | 0.4873 | 0.6980 |
358
+ | 0.2938 | 29.2381 | 614 | 0.4822 | 0.5495 | 0.4822 | 0.6944 |
359
+ | 0.2938 | 29.3333 | 616 | 0.4625 | 0.5406 | 0.4625 | 0.6801 |
360
+ | 0.2938 | 29.4286 | 618 | 0.4471 | 0.6183 | 0.4471 | 0.6686 |
361
+ | 0.2938 | 29.5238 | 620 | 0.4527 | 0.6389 | 0.4527 | 0.6728 |
362
+ | 0.2938 | 29.6190 | 622 | 0.4803 | 0.5627 | 0.4803 | 0.6930 |
363
+ | 0.2938 | 29.7143 | 624 | 0.5207 | 0.4868 | 0.5207 | 0.7216 |
364
+ | 0.2938 | 29.8095 | 626 | 0.5838 | 0.4922 | 0.5838 | 0.7641 |
365
+ | 0.2938 | 29.9048 | 628 | 0.5673 | 0.4451 | 0.5673 | 0.7532 |
366
+ | 0.2938 | 30.0 | 630 | 0.5333 | 0.5171 | 0.5333 | 0.7303 |
367
+ | 0.2938 | 30.0952 | 632 | 0.5177 | 0.4908 | 0.5177 | 0.7195 |
368
+ | 0.2938 | 30.1905 | 634 | 0.5163 | 0.4653 | 0.5163 | 0.7185 |
369
+ | 0.2938 | 30.2857 | 636 | 0.5303 | 0.5083 | 0.5303 | 0.7282 |
370
+ | 0.2938 | 30.3810 | 638 | 0.5220 | 0.5300 | 0.5220 | 0.7225 |
371
+ | 0.2938 | 30.4762 | 640 | 0.4928 | 0.5718 | 0.4928 | 0.7020 |
372
+ | 0.2938 | 30.5714 | 642 | 0.5029 | 0.5718 | 0.5029 | 0.7092 |
373
+ | 0.2938 | 30.6667 | 644 | 0.5439 | 0.4868 | 0.5439 | 0.7375 |
374
+ | 0.2938 | 30.7619 | 646 | 0.5485 | 0.5078 | 0.5485 | 0.7406 |
375
+ | 0.2938 | 30.8571 | 648 | 0.5448 | 0.5078 | 0.5448 | 0.7381 |
376
+ | 0.2938 | 30.9524 | 650 | 0.4990 | 0.5406 | 0.4990 | 0.7064 |
377
+ | 0.2938 | 31.0476 | 652 | 0.4612 | 0.6953 | 0.4612 | 0.6791 |
378
+ | 0.2938 | 31.1429 | 654 | 0.4639 | 0.6724 | 0.4639 | 0.6811 |
379
+ | 0.2938 | 31.2381 | 656 | 0.4619 | 0.6724 | 0.4619 | 0.6797 |
380
+ | 0.2938 | 31.3333 | 658 | 0.4603 | 0.6745 | 0.4603 | 0.6785 |
381
+ | 0.2938 | 31.4286 | 660 | 0.4761 | 0.5479 | 0.4761 | 0.6900 |
382
+ | 0.2938 | 31.5238 | 662 | 0.5268 | 0.5217 | 0.5268 | 0.7258 |
383
+ | 0.2938 | 31.6190 | 664 | 0.5744 | 0.5393 | 0.5744 | 0.7579 |
384
+ | 0.2938 | 31.7143 | 666 | 0.5945 | 0.5393 | 0.5945 | 0.7710 |
385
+ | 0.2938 | 31.8095 | 668 | 0.5995 | 0.5061 | 0.5995 | 0.7743 |
386
+ | 0.2938 | 31.9048 | 670 | 0.5375 | 0.5500 | 0.5375 | 0.7332 |
387
+ | 0.2938 | 32.0 | 672 | 0.5071 | 0.6004 | 0.5071 | 0.7121 |
388
+ | 0.2938 | 32.0952 | 674 | 0.5046 | 0.5809 | 0.5046 | 0.7103 |
389
+ | 0.2938 | 32.1905 | 676 | 0.5361 | 0.5636 | 0.5361 | 0.7322 |
390
+ | 0.2938 | 32.2857 | 678 | 0.5330 | 0.5217 | 0.5330 | 0.7301 |
391
+ | 0.2938 | 32.3810 | 680 | 0.5006 | 0.5642 | 0.5006 | 0.7076 |
392
+ | 0.2938 | 32.4762 | 682 | 0.4886 | 0.5479 | 0.4886 | 0.6990 |
393
+ | 0.2938 | 32.5714 | 684 | 0.4777 | 0.6068 | 0.4777 | 0.6912 |
394
+ | 0.2938 | 32.6667 | 686 | 0.4779 | 0.6068 | 0.4779 | 0.6913 |
395
+ | 0.2938 | 32.7619 | 688 | 0.4895 | 0.5554 | 0.4895 | 0.6996 |
396
+ | 0.2938 | 32.8571 | 690 | 0.5490 | 0.5513 | 0.5490 | 0.7409 |
397
+ | 0.2938 | 32.9524 | 692 | 0.6154 | 0.5003 | 0.6154 | 0.7845 |
398
+ | 0.2938 | 33.0476 | 694 | 0.6798 | 0.4297 | 0.6798 | 0.8245 |
399
+ | 0.2938 | 33.1429 | 696 | 0.6465 | 0.5003 | 0.6465 | 0.8040 |
400
+ | 0.2938 | 33.2381 | 698 | 0.5815 | 0.5112 | 0.5815 | 0.7626 |
401
+ | 0.2938 | 33.3333 | 700 | 0.5342 | 0.5811 | 0.5342 | 0.7309 |
402
+ | 0.2938 | 33.4286 | 702 | 0.4976 | 0.5574 | 0.4976 | 0.7054 |
403
+ | 0.2938 | 33.5238 | 704 | 0.4877 | 0.4970 | 0.4877 | 0.6983 |
404
+ | 0.2938 | 33.6190 | 706 | 0.4910 | 0.4774 | 0.4910 | 0.7007 |
405
+ | 0.2938 | 33.7143 | 708 | 0.4968 | 0.4869 | 0.4968 | 0.7048 |
406
+ | 0.2938 | 33.8095 | 710 | 0.5071 | 0.5142 | 0.5071 | 0.7121 |
407
+ | 0.2938 | 33.9048 | 712 | 0.5393 | 0.4955 | 0.5393 | 0.7343 |
408
+ | 0.2938 | 34.0 | 714 | 0.5661 | 0.4997 | 0.5661 | 0.7524 |
409
+ | 0.2938 | 34.0952 | 716 | 0.5488 | 0.5069 | 0.5488 | 0.7408 |
410
+ | 0.2938 | 34.1905 | 718 | 0.5072 | 0.4561 | 0.5072 | 0.7122 |
411
+ | 0.2938 | 34.2857 | 720 | 0.4874 | 0.4869 | 0.4874 | 0.6982 |
412
+ | 0.2938 | 34.3810 | 722 | 0.4833 | 0.5367 | 0.4833 | 0.6952 |
413
+ | 0.2938 | 34.4762 | 724 | 0.4797 | 0.5142 | 0.4797 | 0.6926 |
414
+ | 0.2938 | 34.5714 | 726 | 0.5033 | 0.5208 | 0.5033 | 0.7094 |
415
+ | 0.2938 | 34.6667 | 728 | 0.5416 | 0.5171 | 0.5416 | 0.7359 |
416
+ | 0.2938 | 34.7619 | 730 | 0.5847 | 0.4842 | 0.5847 | 0.7647 |
417
+ | 0.2938 | 34.8571 | 732 | 0.6197 | 0.4860 | 0.6197 | 0.7872 |
418
+ | 0.2938 | 34.9524 | 734 | 0.6107 | 0.4842 | 0.6107 | 0.7815 |
419
+ | 0.2938 | 35.0476 | 736 | 0.5796 | 0.5171 | 0.5796 | 0.7613 |
420
+ | 0.2938 | 35.1429 | 738 | 0.5316 | 0.5244 | 0.5316 | 0.7291 |
421
+ | 0.2938 | 35.2381 | 740 | 0.4859 | 0.5142 | 0.4859 | 0.6971 |
422
+ | 0.2938 | 35.3333 | 742 | 0.4808 | 0.5309 | 0.4808 | 0.6934 |
423
+ | 0.2938 | 35.4286 | 744 | 0.5013 | 0.5111 | 0.5013 | 0.7081 |
424
+ | 0.2938 | 35.5238 | 746 | 0.4927 | 0.5111 | 0.4927 | 0.7020 |
425
+ | 0.2938 | 35.6190 | 748 | 0.4754 | 0.5819 | 0.4754 | 0.6895 |
426
+ | 0.2938 | 35.7143 | 750 | 0.4827 | 0.5227 | 0.4827 | 0.6948 |
427
+ | 0.2938 | 35.8095 | 752 | 0.5353 | 0.5356 | 0.5353 | 0.7316 |
428
+ | 0.2938 | 35.9048 | 754 | 0.5693 | 0.5528 | 0.5693 | 0.7545 |
429
+ | 0.2938 | 36.0 | 756 | 0.5647 | 0.5384 | 0.5647 | 0.7515 |
430
+ | 0.2938 | 36.0952 | 758 | 0.5331 | 0.5438 | 0.5331 | 0.7301 |
431
+ | 0.2938 | 36.1905 | 760 | 0.5203 | 0.5422 | 0.5203 | 0.7213 |
432
+ | 0.2938 | 36.2857 | 762 | 0.4959 | 0.5335 | 0.4959 | 0.7042 |
433
+ | 0.2938 | 36.3810 | 764 | 0.4784 | 0.5985 | 0.4784 | 0.6917 |
434
+ | 0.2938 | 36.4762 | 766 | 0.4740 | 0.6068 | 0.4740 | 0.6884 |
435
+ | 0.2938 | 36.5714 | 768 | 0.4818 | 0.5555 | 0.4818 | 0.6941 |
436
+ | 0.2938 | 36.6667 | 770 | 0.4937 | 0.5731 | 0.4937 | 0.7026 |
437
+ | 0.2938 | 36.7619 | 772 | 0.5032 | 0.5246 | 0.5032 | 0.7094 |
438
+ | 0.2938 | 36.8571 | 774 | 0.5095 | 0.5085 | 0.5095 | 0.7138 |
439
+ | 0.2938 | 36.9524 | 776 | 0.5063 | 0.5142 | 0.5063 | 0.7116 |
440
+ | 0.2938 | 37.0476 | 778 | 0.5069 | 0.5142 | 0.5069 | 0.7120 |
441
+ | 0.2938 | 37.1429 | 780 | 0.5083 | 0.5142 | 0.5083 | 0.7129 |
442
+ | 0.2938 | 37.2381 | 782 | 0.5062 | 0.5142 | 0.5062 | 0.7115 |
443
+ | 0.2938 | 37.3333 | 784 | 0.5031 | 0.5142 | 0.5031 | 0.7093 |
444
+ | 0.2938 | 37.4286 | 786 | 0.5084 | 0.5162 | 0.5084 | 0.7130 |
445
+ | 0.2938 | 37.5238 | 788 | 0.5294 | 0.4958 | 0.5294 | 0.7276 |
446
+ | 0.2938 | 37.6190 | 790 | 0.5449 | 0.4841 | 0.5449 | 0.7381 |
447
+ | 0.2938 | 37.7143 | 792 | 0.5827 | 0.4949 | 0.5827 | 0.7633 |
448
+ | 0.2938 | 37.8095 | 794 | 0.5874 | 0.4949 | 0.5874 | 0.7664 |
449
+ | 0.2938 | 37.9048 | 796 | 0.5721 | 0.4949 | 0.5721 | 0.7564 |
450
+
451
+
452
+ ### Framework versions
453
+
454
+ - Transformers 4.44.2
455
+ - Pytorch 2.4.0+cu118
456
+ - Datasets 2.21.0
457
+ - 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 sha256:79ecf6ba92b5c4f40adadd20d0051170e8b20c6b51bb56c9a12568b9c65cb252
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89027c6b0a38a836bc249267401458af6edf7ad3691676d3689f6770a02d587e
3
+ size 5304