MayBashendy commited on
Commit
88193b2
·
verified ·
1 Parent(s): 65daa32

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +458 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,458 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_k11_task2_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_k11_task2_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: 1.1477
19
+ - Qwk: 0.2482
20
+ - Mse: 1.1477
21
+ - Rmse: 1.0713
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 | 0.0351 | 2 | 4.9291 | 0.0010 | 4.9291 | 2.2202 |
53
+ | No log | 0.0702 | 4 | 3.0991 | 0.0005 | 3.0991 | 1.7604 |
54
+ | No log | 0.1053 | 6 | 1.9908 | -0.0433 | 1.9908 | 1.4109 |
55
+ | No log | 0.1404 | 8 | 1.4137 | 0.0326 | 1.4137 | 1.1890 |
56
+ | No log | 0.1754 | 10 | 1.2507 | 0.1044 | 1.2507 | 1.1183 |
57
+ | No log | 0.2105 | 12 | 1.2917 | 0.0414 | 1.2917 | 1.1365 |
58
+ | No log | 0.2456 | 14 | 1.4643 | 0.0610 | 1.4643 | 1.2101 |
59
+ | No log | 0.2807 | 16 | 1.7071 | -0.0063 | 1.7071 | 1.3066 |
60
+ | No log | 0.3158 | 18 | 1.6244 | 0.0456 | 1.6244 | 1.2745 |
61
+ | No log | 0.3509 | 20 | 1.7010 | 0.0456 | 1.7010 | 1.3042 |
62
+ | No log | 0.3860 | 22 | 1.5978 | 0.0549 | 1.5978 | 1.2640 |
63
+ | No log | 0.4211 | 24 | 1.3801 | 0.0845 | 1.3801 | 1.1748 |
64
+ | No log | 0.4561 | 26 | 1.4400 | 0.0416 | 1.4400 | 1.2000 |
65
+ | No log | 0.4912 | 28 | 1.7663 | 0.0317 | 1.7663 | 1.3290 |
66
+ | No log | 0.5263 | 30 | 1.5981 | 0.0477 | 1.5981 | 1.2642 |
67
+ | No log | 0.5614 | 32 | 1.4621 | 0.0562 | 1.4621 | 1.2092 |
68
+ | No log | 0.5965 | 34 | 1.3690 | 0.0818 | 1.3690 | 1.1700 |
69
+ | No log | 0.6316 | 36 | 1.4163 | 0.1051 | 1.4163 | 1.1901 |
70
+ | No log | 0.6667 | 38 | 1.6950 | 0.1028 | 1.6950 | 1.3019 |
71
+ | No log | 0.7018 | 40 | 1.8522 | 0.1650 | 1.8522 | 1.3609 |
72
+ | No log | 0.7368 | 42 | 1.5511 | 0.0403 | 1.5511 | 1.2454 |
73
+ | No log | 0.7719 | 44 | 1.0926 | 0.2593 | 1.0926 | 1.0453 |
74
+ | No log | 0.8070 | 46 | 0.9584 | 0.4163 | 0.9584 | 0.9790 |
75
+ | No log | 0.8421 | 48 | 0.9611 | 0.3769 | 0.9611 | 0.9804 |
76
+ | No log | 0.8772 | 50 | 0.9387 | 0.4180 | 0.9387 | 0.9689 |
77
+ | No log | 0.9123 | 52 | 1.1299 | 0.3243 | 1.1299 | 1.0630 |
78
+ | No log | 0.9474 | 54 | 1.3206 | 0.1674 | 1.3206 | 1.1492 |
79
+ | No log | 0.9825 | 56 | 1.2869 | 0.2248 | 1.2869 | 1.1344 |
80
+ | No log | 1.0175 | 58 | 1.2133 | 0.1621 | 1.2133 | 1.1015 |
81
+ | No log | 1.0526 | 60 | 1.2295 | 0.1892 | 1.2295 | 1.1088 |
82
+ | No log | 1.0877 | 62 | 1.3705 | 0.2201 | 1.3705 | 1.1707 |
83
+ | No log | 1.1228 | 64 | 1.6171 | 0.3447 | 1.6171 | 1.2717 |
84
+ | No log | 1.1579 | 66 | 1.7728 | 0.3166 | 1.7728 | 1.3315 |
85
+ | No log | 1.1930 | 68 | 1.5346 | 0.3521 | 1.5346 | 1.2388 |
86
+ | No log | 1.2281 | 70 | 1.1697 | 0.3277 | 1.1697 | 1.0815 |
87
+ | No log | 1.2632 | 72 | 1.1362 | 0.4083 | 1.1362 | 1.0659 |
88
+ | No log | 1.2982 | 74 | 1.1459 | 0.4045 | 1.1459 | 1.0705 |
89
+ | No log | 1.3333 | 76 | 1.1996 | 0.2237 | 1.1996 | 1.0953 |
90
+ | No log | 1.3684 | 78 | 1.4035 | 0.2406 | 1.4035 | 1.1847 |
91
+ | No log | 1.4035 | 80 | 1.3963 | 0.2680 | 1.3963 | 1.1817 |
92
+ | No log | 1.4386 | 82 | 1.3476 | 0.3000 | 1.3476 | 1.1609 |
93
+ | No log | 1.4737 | 84 | 1.3090 | 0.3774 | 1.3090 | 1.1441 |
94
+ | No log | 1.5088 | 86 | 1.3356 | 0.3696 | 1.3356 | 1.1557 |
95
+ | No log | 1.5439 | 88 | 1.3136 | 0.3926 | 1.3136 | 1.1461 |
96
+ | No log | 1.5789 | 90 | 1.1644 | 0.3726 | 1.1644 | 1.0791 |
97
+ | No log | 1.6140 | 92 | 1.1492 | 0.3461 | 1.1492 | 1.0720 |
98
+ | No log | 1.6491 | 94 | 1.1672 | 0.3461 | 1.1672 | 1.0804 |
99
+ | No log | 1.6842 | 96 | 0.9499 | 0.3696 | 0.9499 | 0.9746 |
100
+ | No log | 1.7193 | 98 | 0.8799 | 0.4118 | 0.8799 | 0.9380 |
101
+ | No log | 1.7544 | 100 | 0.9878 | 0.4045 | 0.9878 | 0.9939 |
102
+ | No log | 1.7895 | 102 | 1.2901 | 0.3455 | 1.2901 | 1.1358 |
103
+ | No log | 1.8246 | 104 | 1.1546 | 0.4653 | 1.1546 | 1.0745 |
104
+ | No log | 1.8596 | 106 | 0.9101 | 0.5378 | 0.9101 | 0.9540 |
105
+ | No log | 1.8947 | 108 | 0.7850 | 0.5522 | 0.7850 | 0.8860 |
106
+ | No log | 1.9298 | 110 | 0.7541 | 0.5802 | 0.7541 | 0.8684 |
107
+ | No log | 1.9649 | 112 | 0.7185 | 0.6139 | 0.7185 | 0.8476 |
108
+ | No log | 2.0 | 114 | 0.7219 | 0.5403 | 0.7219 | 0.8496 |
109
+ | No log | 2.0351 | 116 | 0.7201 | 0.5766 | 0.7201 | 0.8486 |
110
+ | No log | 2.0702 | 118 | 0.7455 | 0.5198 | 0.7455 | 0.8634 |
111
+ | No log | 2.1053 | 120 | 0.7329 | 0.6184 | 0.7329 | 0.8561 |
112
+ | No log | 2.1404 | 122 | 0.7643 | 0.4819 | 0.7643 | 0.8742 |
113
+ | No log | 2.1754 | 124 | 0.7821 | 0.4962 | 0.7821 | 0.8844 |
114
+ | No log | 2.2105 | 126 | 0.7958 | 0.5715 | 0.7958 | 0.8921 |
115
+ | No log | 2.2456 | 128 | 0.8533 | 0.5753 | 0.8533 | 0.9237 |
116
+ | No log | 2.2807 | 130 | 0.8488 | 0.5147 | 0.8488 | 0.9213 |
117
+ | No log | 2.3158 | 132 | 0.8712 | 0.5396 | 0.8712 | 0.9334 |
118
+ | No log | 2.3509 | 134 | 0.8986 | 0.5550 | 0.8986 | 0.9479 |
119
+ | No log | 2.3860 | 136 | 0.8793 | 0.5960 | 0.8793 | 0.9377 |
120
+ | No log | 2.4211 | 138 | 0.8839 | 0.5376 | 0.8839 | 0.9402 |
121
+ | No log | 2.4561 | 140 | 0.8821 | 0.5645 | 0.8821 | 0.9392 |
122
+ | No log | 2.4912 | 142 | 0.9569 | 0.4704 | 0.9569 | 0.9782 |
123
+ | No log | 2.5263 | 144 | 0.9555 | 0.4549 | 0.9555 | 0.9775 |
124
+ | No log | 2.5614 | 146 | 0.8393 | 0.5861 | 0.8393 | 0.9161 |
125
+ | No log | 2.5965 | 148 | 0.8283 | 0.5815 | 0.8283 | 0.9101 |
126
+ | No log | 2.6316 | 150 | 0.8730 | 0.5349 | 0.8730 | 0.9343 |
127
+ | No log | 2.6667 | 152 | 0.8616 | 0.6098 | 0.8616 | 0.9282 |
128
+ | No log | 2.7018 | 154 | 0.8866 | 0.5665 | 0.8866 | 0.9416 |
129
+ | No log | 2.7368 | 156 | 0.8790 | 0.5781 | 0.8790 | 0.9375 |
130
+ | No log | 2.7719 | 158 | 0.9054 | 0.5416 | 0.9054 | 0.9515 |
131
+ | No log | 2.8070 | 160 | 0.8794 | 0.5055 | 0.8794 | 0.9378 |
132
+ | No log | 2.8421 | 162 | 0.8710 | 0.4472 | 0.8710 | 0.9333 |
133
+ | No log | 2.8772 | 164 | 0.9523 | 0.5325 | 0.9523 | 0.9759 |
134
+ | No log | 2.9123 | 166 | 1.0521 | 0.4730 | 1.0521 | 1.0257 |
135
+ | No log | 2.9474 | 168 | 0.9616 | 0.3902 | 0.9616 | 0.9806 |
136
+ | No log | 2.9825 | 170 | 0.9417 | 0.5239 | 0.9417 | 0.9704 |
137
+ | No log | 3.0175 | 172 | 1.2205 | 0.4318 | 1.2205 | 1.1048 |
138
+ | No log | 3.0526 | 174 | 1.2444 | 0.4035 | 1.2444 | 1.1155 |
139
+ | No log | 3.0877 | 176 | 1.0343 | 0.5560 | 1.0343 | 1.0170 |
140
+ | No log | 3.1228 | 178 | 1.0011 | 0.2697 | 1.0011 | 1.0005 |
141
+ | No log | 3.1579 | 180 | 1.1496 | 0.3791 | 1.1496 | 1.0722 |
142
+ | No log | 3.1930 | 182 | 1.0599 | 0.3009 | 1.0599 | 1.0295 |
143
+ | No log | 3.2281 | 184 | 0.9557 | 0.3756 | 0.9557 | 0.9776 |
144
+ | No log | 3.2632 | 186 | 1.1124 | 0.4133 | 1.1124 | 1.0547 |
145
+ | No log | 3.2982 | 188 | 1.2864 | 0.3834 | 1.2864 | 1.1342 |
146
+ | No log | 3.3333 | 190 | 1.1759 | 0.4246 | 1.1759 | 1.0844 |
147
+ | No log | 3.3684 | 192 | 0.9390 | 0.4805 | 0.9390 | 0.9690 |
148
+ | No log | 3.4035 | 194 | 0.9269 | 0.4769 | 0.9269 | 0.9627 |
149
+ | No log | 3.4386 | 196 | 0.9242 | 0.4736 | 0.9242 | 0.9614 |
150
+ | No log | 3.4737 | 198 | 0.9223 | 0.4554 | 0.9223 | 0.9604 |
151
+ | No log | 3.5088 | 200 | 0.9186 | 0.4071 | 0.9186 | 0.9584 |
152
+ | No log | 3.5439 | 202 | 0.9132 | 0.4032 | 0.9132 | 0.9556 |
153
+ | No log | 3.5789 | 204 | 0.9087 | 0.4026 | 0.9087 | 0.9532 |
154
+ | No log | 3.6140 | 206 | 0.9580 | 0.4084 | 0.9580 | 0.9788 |
155
+ | No log | 3.6491 | 208 | 0.9363 | 0.4048 | 0.9363 | 0.9676 |
156
+ | No log | 3.6842 | 210 | 0.9030 | 0.4026 | 0.9030 | 0.9503 |
157
+ | No log | 3.7193 | 212 | 0.8984 | 0.3930 | 0.8984 | 0.9479 |
158
+ | No log | 3.7544 | 214 | 0.9219 | 0.4232 | 0.9219 | 0.9601 |
159
+ | No log | 3.7895 | 216 | 0.9451 | 0.4536 | 0.9451 | 0.9722 |
160
+ | No log | 3.8246 | 218 | 0.9929 | 0.4278 | 0.9929 | 0.9965 |
161
+ | No log | 3.8596 | 220 | 1.0082 | 0.4278 | 1.0082 | 1.0041 |
162
+ | No log | 3.8947 | 222 | 0.9569 | 0.3448 | 0.9569 | 0.9782 |
163
+ | No log | 3.9298 | 224 | 1.0177 | 0.4341 | 1.0177 | 1.0088 |
164
+ | No log | 3.9649 | 226 | 0.9706 | 0.3688 | 0.9706 | 0.9852 |
165
+ | No log | 4.0 | 228 | 0.9893 | 0.4338 | 0.9893 | 0.9946 |
166
+ | No log | 4.0351 | 230 | 0.9879 | 0.4338 | 0.9879 | 0.9939 |
167
+ | No log | 4.0702 | 232 | 1.0133 | 0.4030 | 1.0133 | 1.0066 |
168
+ | No log | 4.1053 | 234 | 1.2230 | 0.3658 | 1.2230 | 1.1059 |
169
+ | No log | 4.1404 | 236 | 1.4248 | 0.3396 | 1.4248 | 1.1936 |
170
+ | No log | 4.1754 | 238 | 1.2371 | 0.3317 | 1.2371 | 1.1123 |
171
+ | No log | 4.2105 | 240 | 0.9872 | 0.3668 | 0.9872 | 0.9936 |
172
+ | No log | 4.2456 | 242 | 0.9503 | 0.3468 | 0.9503 | 0.9748 |
173
+ | No log | 4.2807 | 244 | 0.9469 | 0.4218 | 0.9469 | 0.9731 |
174
+ | No log | 4.3158 | 246 | 0.9826 | 0.4270 | 0.9826 | 0.9913 |
175
+ | No log | 4.3509 | 248 | 1.0446 | 0.3546 | 1.0446 | 1.0221 |
176
+ | No log | 4.3860 | 250 | 0.9566 | 0.3458 | 0.9566 | 0.9781 |
177
+ | No log | 4.4211 | 252 | 0.9231 | 0.3525 | 0.9231 | 0.9608 |
178
+ | No log | 4.4561 | 254 | 0.9373 | 0.4724 | 0.9373 | 0.9681 |
179
+ | No log | 4.4912 | 256 | 0.9326 | 0.4934 | 0.9326 | 0.9657 |
180
+ | No log | 4.5263 | 258 | 0.9024 | 0.3430 | 0.9024 | 0.9499 |
181
+ | No log | 4.5614 | 260 | 0.9395 | 0.4549 | 0.9395 | 0.9693 |
182
+ | No log | 4.5965 | 262 | 0.9228 | 0.4176 | 0.9228 | 0.9606 |
183
+ | No log | 4.6316 | 264 | 0.9149 | 0.4787 | 0.9149 | 0.9565 |
184
+ | No log | 4.6667 | 266 | 0.9126 | 0.4787 | 0.9126 | 0.9553 |
185
+ | No log | 4.7018 | 268 | 0.9175 | 0.4568 | 0.9175 | 0.9579 |
186
+ | No log | 4.7368 | 270 | 0.8980 | 0.4841 | 0.8980 | 0.9476 |
187
+ | No log | 4.7719 | 272 | 0.9206 | 0.3871 | 0.9206 | 0.9595 |
188
+ | No log | 4.8070 | 274 | 0.9322 | 0.3944 | 0.9322 | 0.9655 |
189
+ | No log | 4.8421 | 276 | 0.9902 | 0.4574 | 0.9902 | 0.9951 |
190
+ | No log | 4.8772 | 278 | 0.9220 | 0.4581 | 0.9220 | 0.9602 |
191
+ | No log | 4.9123 | 280 | 0.9233 | 0.4581 | 0.9233 | 0.9609 |
192
+ | No log | 4.9474 | 282 | 0.9798 | 0.4101 | 0.9798 | 0.9898 |
193
+ | No log | 4.9825 | 284 | 0.9864 | 0.4191 | 0.9864 | 0.9932 |
194
+ | No log | 5.0175 | 286 | 1.1180 | 0.3784 | 1.1180 | 1.0573 |
195
+ | No log | 5.0526 | 288 | 1.0933 | 0.3784 | 1.0933 | 1.0456 |
196
+ | No log | 5.0877 | 290 | 0.9129 | 0.4648 | 0.9129 | 0.9555 |
197
+ | No log | 5.1228 | 292 | 0.8804 | 0.5571 | 0.8804 | 0.9383 |
198
+ | No log | 5.1579 | 294 | 0.8863 | 0.5720 | 0.8863 | 0.9414 |
199
+ | No log | 5.1930 | 296 | 0.9598 | 0.5203 | 0.9598 | 0.9797 |
200
+ | No log | 5.2281 | 298 | 1.2780 | 0.4356 | 1.2780 | 1.1305 |
201
+ | No log | 5.2632 | 300 | 1.4748 | 0.3950 | 1.4748 | 1.2144 |
202
+ | No log | 5.2982 | 302 | 1.2333 | 0.4081 | 1.2333 | 1.1106 |
203
+ | No log | 5.3333 | 304 | 0.9742 | 0.4139 | 0.9742 | 0.9870 |
204
+ | No log | 5.3684 | 306 | 0.8667 | 0.4933 | 0.8667 | 0.9310 |
205
+ | No log | 5.4035 | 308 | 0.8620 | 0.4256 | 0.8620 | 0.9285 |
206
+ | No log | 5.4386 | 310 | 0.8907 | 0.4294 | 0.8907 | 0.9438 |
207
+ | No log | 5.4737 | 312 | 1.0049 | 0.3573 | 1.0049 | 1.0024 |
208
+ | No log | 5.5088 | 314 | 1.1347 | 0.3665 | 1.1347 | 1.0652 |
209
+ | No log | 5.5439 | 316 | 1.0820 | 0.3103 | 1.0820 | 1.0402 |
210
+ | No log | 5.5789 | 318 | 0.9257 | 0.4529 | 0.9257 | 0.9621 |
211
+ | No log | 5.6140 | 320 | 0.8786 | 0.4297 | 0.8786 | 0.9373 |
212
+ | No log | 5.6491 | 322 | 0.8746 | 0.4397 | 0.8746 | 0.9352 |
213
+ | No log | 5.6842 | 324 | 0.8944 | 0.4439 | 0.8944 | 0.9457 |
214
+ | No log | 5.7193 | 326 | 0.9993 | 0.3972 | 0.9993 | 0.9996 |
215
+ | No log | 5.7544 | 328 | 1.0072 | 0.4318 | 1.0072 | 1.0036 |
216
+ | No log | 5.7895 | 330 | 0.9115 | 0.4273 | 0.9115 | 0.9547 |
217
+ | No log | 5.8246 | 332 | 0.8455 | 0.3885 | 0.8455 | 0.9195 |
218
+ | No log | 5.8596 | 334 | 0.8788 | 0.4377 | 0.8788 | 0.9374 |
219
+ | No log | 5.8947 | 336 | 0.8647 | 0.4313 | 0.8647 | 0.9299 |
220
+ | No log | 5.9298 | 338 | 0.8356 | 0.4023 | 0.8356 | 0.9141 |
221
+ | No log | 5.9649 | 340 | 0.9697 | 0.3881 | 0.9697 | 0.9848 |
222
+ | No log | 6.0 | 342 | 1.1319 | 0.4069 | 1.1319 | 1.0639 |
223
+ | No log | 6.0351 | 344 | 1.1152 | 0.3827 | 1.1152 | 1.0560 |
224
+ | No log | 6.0702 | 346 | 0.9601 | 0.3939 | 0.9601 | 0.9798 |
225
+ | No log | 6.1053 | 348 | 0.8500 | 0.4930 | 0.8500 | 0.9219 |
226
+ | No log | 6.1404 | 350 | 0.8774 | 0.5250 | 0.8774 | 0.9367 |
227
+ | No log | 6.1754 | 352 | 0.9142 | 0.5107 | 0.9142 | 0.9561 |
228
+ | No log | 6.2105 | 354 | 0.8994 | 0.4916 | 0.8994 | 0.9484 |
229
+ | No log | 6.2456 | 356 | 0.8677 | 0.4555 | 0.8677 | 0.9315 |
230
+ | No log | 6.2807 | 358 | 0.8862 | 0.4102 | 0.8862 | 0.9414 |
231
+ | No log | 6.3158 | 360 | 0.9332 | 0.4303 | 0.9332 | 0.9660 |
232
+ | No log | 6.3509 | 362 | 0.9188 | 0.4335 | 0.9188 | 0.9585 |
233
+ | No log | 6.3860 | 364 | 0.8735 | 0.5287 | 0.8735 | 0.9346 |
234
+ | No log | 6.4211 | 366 | 0.8747 | 0.5098 | 0.8747 | 0.9353 |
235
+ | No log | 6.4561 | 368 | 0.9122 | 0.4632 | 0.9122 | 0.9551 |
236
+ | No log | 6.4912 | 370 | 0.9238 | 0.4454 | 0.9238 | 0.9611 |
237
+ | No log | 6.5263 | 372 | 0.8752 | 0.4460 | 0.8752 | 0.9355 |
238
+ | No log | 6.5614 | 374 | 0.8818 | 0.4159 | 0.8818 | 0.9390 |
239
+ | No log | 6.5965 | 376 | 0.8849 | 0.3879 | 0.8849 | 0.9407 |
240
+ | No log | 6.6316 | 378 | 0.8967 | 0.3780 | 0.8967 | 0.9469 |
241
+ | No log | 6.6667 | 380 | 0.9075 | 0.3780 | 0.9075 | 0.9526 |
242
+ | No log | 6.7018 | 382 | 0.9398 | 0.3908 | 0.9398 | 0.9694 |
243
+ | No log | 6.7368 | 384 | 0.9739 | 0.3614 | 0.9739 | 0.9869 |
244
+ | No log | 6.7719 | 386 | 0.9273 | 0.4176 | 0.9273 | 0.9629 |
245
+ | No log | 6.8070 | 388 | 0.8670 | 0.4491 | 0.8670 | 0.9311 |
246
+ | No log | 6.8421 | 390 | 0.8584 | 0.4963 | 0.8584 | 0.9265 |
247
+ | No log | 6.8772 | 392 | 0.8611 | 0.4934 | 0.8611 | 0.9280 |
248
+ | No log | 6.9123 | 394 | 0.8612 | 0.4930 | 0.8612 | 0.9280 |
249
+ | No log | 6.9474 | 396 | 0.8802 | 0.5283 | 0.8802 | 0.9382 |
250
+ | No log | 6.9825 | 398 | 0.9129 | 0.4048 | 0.9129 | 0.9554 |
251
+ | No log | 7.0175 | 400 | 0.8905 | 0.4361 | 0.8905 | 0.9437 |
252
+ | No log | 7.0526 | 402 | 0.8780 | 0.5089 | 0.8780 | 0.9370 |
253
+ | No log | 7.0877 | 404 | 0.8558 | 0.5203 | 0.8558 | 0.9251 |
254
+ | No log | 7.1228 | 406 | 0.8534 | 0.5059 | 0.8534 | 0.9238 |
255
+ | No log | 7.1579 | 408 | 0.8653 | 0.4834 | 0.8653 | 0.9302 |
256
+ | No log | 7.1930 | 410 | 0.9340 | 0.4459 | 0.9340 | 0.9664 |
257
+ | No log | 7.2281 | 412 | 0.9474 | 0.4063 | 0.9474 | 0.9734 |
258
+ | No log | 7.2632 | 414 | 0.9230 | 0.4404 | 0.9230 | 0.9607 |
259
+ | No log | 7.2982 | 416 | 0.9076 | 0.3674 | 0.9076 | 0.9527 |
260
+ | No log | 7.3333 | 418 | 0.9117 | 0.3938 | 0.9117 | 0.9548 |
261
+ | No log | 7.3684 | 420 | 0.9159 | 0.3583 | 0.9159 | 0.9570 |
262
+ | No log | 7.4035 | 422 | 0.9871 | 0.3705 | 0.9871 | 0.9935 |
263
+ | No log | 7.4386 | 424 | 1.0894 | 0.3277 | 1.0894 | 1.0437 |
264
+ | No log | 7.4737 | 426 | 1.0341 | 0.3509 | 1.0341 | 1.0169 |
265
+ | No log | 7.5088 | 428 | 0.9226 | 0.4650 | 0.9226 | 0.9605 |
266
+ | No log | 7.5439 | 430 | 0.8879 | 0.5408 | 0.8879 | 0.9423 |
267
+ | No log | 7.5789 | 432 | 0.8842 | 0.4965 | 0.8842 | 0.9403 |
268
+ | No log | 7.6140 | 434 | 0.8848 | 0.4019 | 0.8848 | 0.9406 |
269
+ | No log | 7.6491 | 436 | 0.9225 | 0.3406 | 0.9225 | 0.9605 |
270
+ | No log | 7.6842 | 438 | 0.9201 | 0.3312 | 0.9201 | 0.9592 |
271
+ | No log | 7.7193 | 440 | 0.8913 | 0.4292 | 0.8913 | 0.9441 |
272
+ | No log | 7.7544 | 442 | 0.8834 | 0.4738 | 0.8834 | 0.9399 |
273
+ | No log | 7.7895 | 444 | 0.8733 | 0.5042 | 0.8733 | 0.9345 |
274
+ | No log | 7.8246 | 446 | 0.8830 | 0.4947 | 0.8830 | 0.9397 |
275
+ | No log | 7.8596 | 448 | 0.8805 | 0.4718 | 0.8805 | 0.9383 |
276
+ | No log | 7.8947 | 450 | 0.8907 | 0.4514 | 0.8907 | 0.9438 |
277
+ | No log | 7.9298 | 452 | 0.9561 | 0.3761 | 0.9561 | 0.9778 |
278
+ | No log | 7.9649 | 454 | 1.0244 | 0.4259 | 1.0244 | 1.0121 |
279
+ | No log | 8.0 | 456 | 1.0464 | 0.4172 | 1.0464 | 1.0229 |
280
+ | No log | 8.0351 | 458 | 0.9598 | 0.3843 | 0.9598 | 0.9797 |
281
+ | No log | 8.0702 | 460 | 0.8561 | 0.5040 | 0.8561 | 0.9253 |
282
+ | No log | 8.1053 | 462 | 0.8967 | 0.4864 | 0.8967 | 0.9469 |
283
+ | No log | 8.1404 | 464 | 0.9052 | 0.4864 | 0.9052 | 0.9514 |
284
+ | No log | 8.1754 | 466 | 0.8550 | 0.5352 | 0.8550 | 0.9247 |
285
+ | No log | 8.2105 | 468 | 0.8369 | 0.5716 | 0.8369 | 0.9148 |
286
+ | No log | 8.2456 | 470 | 0.8685 | 0.4555 | 0.8685 | 0.9319 |
287
+ | No log | 8.2807 | 472 | 0.9004 | 0.3952 | 0.9004 | 0.9489 |
288
+ | No log | 8.3158 | 474 | 0.8830 | 0.4297 | 0.8830 | 0.9397 |
289
+ | No log | 8.3509 | 476 | 0.8717 | 0.4359 | 0.8717 | 0.9337 |
290
+ | No log | 8.3860 | 478 | 0.8919 | 0.4902 | 0.8919 | 0.9444 |
291
+ | No log | 8.4211 | 480 | 0.9078 | 0.4902 | 0.9078 | 0.9528 |
292
+ | No log | 8.4561 | 482 | 0.9218 | 0.4470 | 0.9218 | 0.9601 |
293
+ | No log | 8.4912 | 484 | 0.9166 | 0.3695 | 0.9166 | 0.9574 |
294
+ | No log | 8.5263 | 486 | 0.9361 | 0.3909 | 0.9361 | 0.9675 |
295
+ | No log | 8.5614 | 488 | 0.9469 | 0.4096 | 0.9469 | 0.9731 |
296
+ | No log | 8.5965 | 490 | 0.9271 | 0.4159 | 0.9271 | 0.9628 |
297
+ | No log | 8.6316 | 492 | 0.9328 | 0.4672 | 0.9328 | 0.9658 |
298
+ | No log | 8.6667 | 494 | 0.9387 | 0.4672 | 0.9387 | 0.9688 |
299
+ | No log | 8.7018 | 496 | 0.9175 | 0.5124 | 0.9175 | 0.9579 |
300
+ | No log | 8.7368 | 498 | 0.8965 | 0.4671 | 0.8965 | 0.9468 |
301
+ | 0.3568 | 8.7719 | 500 | 0.9016 | 0.3427 | 0.9016 | 0.9495 |
302
+ | 0.3568 | 8.8070 | 502 | 0.8918 | 0.3681 | 0.8918 | 0.9443 |
303
+ | 0.3568 | 8.8421 | 504 | 0.8573 | 0.4691 | 0.8573 | 0.9259 |
304
+ | 0.3568 | 8.8772 | 506 | 0.8580 | 0.4278 | 0.8580 | 0.9263 |
305
+ | 0.3568 | 8.9123 | 508 | 0.8546 | 0.4418 | 0.8546 | 0.9245 |
306
+ | 0.3568 | 8.9474 | 510 | 0.8497 | 0.4555 | 0.8497 | 0.9218 |
307
+ | 0.3568 | 8.9825 | 512 | 0.8494 | 0.4119 | 0.8494 | 0.9216 |
308
+ | 0.3568 | 9.0175 | 514 | 0.8592 | 0.3527 | 0.8592 | 0.9269 |
309
+ | 0.3568 | 9.0526 | 516 | 0.8770 | 0.3427 | 0.8770 | 0.9365 |
310
+ | 0.3568 | 9.0877 | 518 | 0.8608 | 0.3830 | 0.8608 | 0.9278 |
311
+ | 0.3568 | 9.1228 | 520 | 0.8501 | 0.4381 | 0.8501 | 0.9220 |
312
+ | 0.3568 | 9.1579 | 522 | 0.8870 | 0.5396 | 0.8870 | 0.9418 |
313
+ | 0.3568 | 9.1930 | 524 | 0.8764 | 0.4881 | 0.8764 | 0.9362 |
314
+ | 0.3568 | 9.2281 | 526 | 0.8459 | 0.5709 | 0.8459 | 0.9197 |
315
+ | 0.3568 | 9.2632 | 528 | 0.8816 | 0.4624 | 0.8816 | 0.9389 |
316
+ | 0.3568 | 9.2982 | 530 | 0.8680 | 0.4624 | 0.8680 | 0.9317 |
317
+ | 0.3568 | 9.3333 | 532 | 0.8361 | 0.5938 | 0.8361 | 0.9144 |
318
+ | 0.3568 | 9.3684 | 534 | 0.8325 | 0.5386 | 0.8325 | 0.9124 |
319
+ | 0.3568 | 9.4035 | 536 | 0.8425 | 0.5352 | 0.8425 | 0.9179 |
320
+ | 0.3568 | 9.4386 | 538 | 0.8574 | 0.4745 | 0.8574 | 0.9259 |
321
+ | 0.3568 | 9.4737 | 540 | 0.8657 | 0.4079 | 0.8657 | 0.9304 |
322
+ | 0.3568 | 9.5088 | 542 | 0.9008 | 0.3571 | 0.9008 | 0.9491 |
323
+ | 0.3568 | 9.5439 | 544 | 0.9001 | 0.3472 | 0.9001 | 0.9487 |
324
+ | 0.3568 | 9.5789 | 546 | 0.8697 | 0.3979 | 0.8697 | 0.9326 |
325
+ | 0.3568 | 9.6140 | 548 | 0.8821 | 0.5471 | 0.8821 | 0.9392 |
326
+ | 0.3568 | 9.6491 | 550 | 0.9124 | 0.5295 | 0.9124 | 0.9552 |
327
+ | 0.3568 | 9.6842 | 552 | 0.8879 | 0.5201 | 0.8879 | 0.9423 |
328
+ | 0.3568 | 9.7193 | 554 | 0.8666 | 0.4780 | 0.8666 | 0.9309 |
329
+ | 0.3568 | 9.7544 | 556 | 0.8766 | 0.3896 | 0.8766 | 0.9363 |
330
+ | 0.3568 | 9.7895 | 558 | 0.8845 | 0.4079 | 0.8845 | 0.9405 |
331
+ | 0.3568 | 9.8246 | 560 | 0.8878 | 0.4019 | 0.8878 | 0.9422 |
332
+ | 0.3568 | 9.8596 | 562 | 0.8921 | 0.3771 | 0.8921 | 0.9445 |
333
+ | 0.3568 | 9.8947 | 564 | 0.8799 | 0.4534 | 0.8799 | 0.9380 |
334
+ | 0.3568 | 9.9298 | 566 | 0.8830 | 0.4271 | 0.8830 | 0.9397 |
335
+ | 0.3568 | 9.9649 | 568 | 0.8968 | 0.4581 | 0.8968 | 0.9470 |
336
+ | 0.3568 | 10.0 | 570 | 0.9362 | 0.4225 | 0.9362 | 0.9676 |
337
+ | 0.3568 | 10.0351 | 572 | 0.9153 | 0.3976 | 0.9153 | 0.9567 |
338
+ | 0.3568 | 10.0702 | 574 | 0.8555 | 0.4815 | 0.8555 | 0.9249 |
339
+ | 0.3568 | 10.1053 | 576 | 0.8246 | 0.5253 | 0.8246 | 0.9081 |
340
+ | 0.3568 | 10.1404 | 578 | 0.8400 | 0.4963 | 0.8400 | 0.9165 |
341
+ | 0.3568 | 10.1754 | 580 | 0.8618 | 0.4832 | 0.8618 | 0.9283 |
342
+ | 0.3568 | 10.2105 | 582 | 0.8514 | 0.4646 | 0.8514 | 0.9227 |
343
+ | 0.3568 | 10.2456 | 584 | 0.8518 | 0.4715 | 0.8518 | 0.9229 |
344
+ | 0.3568 | 10.2807 | 586 | 0.8554 | 0.4715 | 0.8554 | 0.9249 |
345
+ | 0.3568 | 10.3158 | 588 | 0.8626 | 0.4512 | 0.8626 | 0.9288 |
346
+ | 0.3568 | 10.3509 | 590 | 0.8738 | 0.5062 | 0.8738 | 0.9348 |
347
+ | 0.3568 | 10.3860 | 592 | 0.8568 | 0.4512 | 0.8568 | 0.9256 |
348
+ | 0.3568 | 10.4211 | 594 | 0.8504 | 0.4512 | 0.8504 | 0.9222 |
349
+ | 0.3568 | 10.4561 | 596 | 0.8513 | 0.4356 | 0.8513 | 0.9226 |
350
+ | 0.3568 | 10.4912 | 598 | 0.8556 | 0.4521 | 0.8556 | 0.9250 |
351
+ | 0.3568 | 10.5263 | 600 | 0.8642 | 0.4294 | 0.8642 | 0.9296 |
352
+ | 0.3568 | 10.5614 | 602 | 0.8501 | 0.4159 | 0.8501 | 0.9220 |
353
+ | 0.3568 | 10.5965 | 604 | 0.8403 | 0.4218 | 0.8403 | 0.9167 |
354
+ | 0.3568 | 10.6316 | 606 | 0.8478 | 0.4316 | 0.8478 | 0.9208 |
355
+ | 0.3568 | 10.6667 | 608 | 0.8579 | 0.3650 | 0.8579 | 0.9262 |
356
+ | 0.3568 | 10.7018 | 610 | 0.8658 | 0.3541 | 0.8658 | 0.9305 |
357
+ | 0.3568 | 10.7368 | 612 | 0.8567 | 0.3879 | 0.8567 | 0.9256 |
358
+ | 0.3568 | 10.7719 | 614 | 0.8473 | 0.4521 | 0.8473 | 0.9205 |
359
+ | 0.3568 | 10.8070 | 616 | 0.8431 | 0.4356 | 0.8431 | 0.9182 |
360
+ | 0.3568 | 10.8421 | 618 | 0.8360 | 0.4316 | 0.8360 | 0.9143 |
361
+ | 0.3568 | 10.8772 | 620 | 0.8301 | 0.4540 | 0.8301 | 0.9111 |
362
+ | 0.3568 | 10.9123 | 622 | 0.8326 | 0.4847 | 0.8326 | 0.9125 |
363
+ | 0.3568 | 10.9474 | 624 | 0.8567 | 0.4848 | 0.8567 | 0.9256 |
364
+ | 0.3568 | 10.9825 | 626 | 0.8935 | 0.4372 | 0.8935 | 0.9453 |
365
+ | 0.3568 | 11.0175 | 628 | 0.9497 | 0.4191 | 0.9497 | 0.9745 |
366
+ | 0.3568 | 11.0526 | 630 | 0.9873 | 0.3791 | 0.9873 | 0.9936 |
367
+ | 0.3568 | 11.0877 | 632 | 0.9228 | 0.3614 | 0.9228 | 0.9606 |
368
+ | 0.3568 | 11.1228 | 634 | 0.8471 | 0.4760 | 0.8471 | 0.9204 |
369
+ | 0.3568 | 11.1579 | 636 | 0.8310 | 0.5143 | 0.8310 | 0.9116 |
370
+ | 0.3568 | 11.1930 | 638 | 0.8268 | 0.5155 | 0.8268 | 0.9093 |
371
+ | 0.3568 | 11.2281 | 640 | 0.8535 | 0.4661 | 0.8535 | 0.9238 |
372
+ | 0.3568 | 11.2632 | 642 | 0.9224 | 0.4372 | 0.9224 | 0.9604 |
373
+ | 0.3568 | 11.2982 | 644 | 0.9454 | 0.4637 | 0.9454 | 0.9723 |
374
+ | 0.3568 | 11.3333 | 646 | 0.8881 | 0.4774 | 0.8881 | 0.9424 |
375
+ | 0.3568 | 11.3684 | 648 | 0.8419 | 0.4540 | 0.8419 | 0.9175 |
376
+ | 0.3568 | 11.4035 | 650 | 0.8507 | 0.5279 | 0.8507 | 0.9223 |
377
+ | 0.3568 | 11.4386 | 652 | 0.8602 | 0.4413 | 0.8602 | 0.9275 |
378
+ | 0.3568 | 11.4737 | 654 | 0.8770 | 0.4181 | 0.8770 | 0.9365 |
379
+ | 0.3568 | 11.5088 | 656 | 0.8907 | 0.4141 | 0.8907 | 0.9437 |
380
+ | 0.3568 | 11.5439 | 658 | 0.8993 | 0.4141 | 0.8993 | 0.9483 |
381
+ | 0.3568 | 11.5789 | 660 | 0.8971 | 0.4591 | 0.8971 | 0.9472 |
382
+ | 0.3568 | 11.6140 | 662 | 0.9172 | 0.4 | 0.9172 | 0.9577 |
383
+ | 0.3568 | 11.6491 | 664 | 0.9276 | 0.4270 | 0.9276 | 0.9631 |
384
+ | 0.3568 | 11.6842 | 666 | 0.9036 | 0.4159 | 0.9036 | 0.9506 |
385
+ | 0.3568 | 11.7193 | 668 | 0.9074 | 0.4757 | 0.9074 | 0.9526 |
386
+ | 0.3568 | 11.7544 | 670 | 0.9160 | 0.4313 | 0.9160 | 0.9571 |
387
+ | 0.3568 | 11.7895 | 672 | 0.9224 | 0.4061 | 0.9224 | 0.9604 |
388
+ | 0.3568 | 11.8246 | 674 | 0.9460 | 0.3486 | 0.9460 | 0.9726 |
389
+ | 0.3568 | 11.8596 | 676 | 0.9372 | 0.3529 | 0.9372 | 0.9681 |
390
+ | 0.3568 | 11.8947 | 678 | 0.9092 | 0.3821 | 0.9092 | 0.9535 |
391
+ | 0.3568 | 11.9298 | 680 | 0.8835 | 0.3879 | 0.8835 | 0.9399 |
392
+ | 0.3568 | 11.9649 | 682 | 0.8655 | 0.4219 | 0.8655 | 0.9303 |
393
+ | 0.3568 | 12.0 | 684 | 0.8570 | 0.4381 | 0.8570 | 0.9257 |
394
+ | 0.3568 | 12.0351 | 686 | 0.8475 | 0.4381 | 0.8475 | 0.9206 |
395
+ | 0.3568 | 12.0702 | 688 | 0.8436 | 0.4159 | 0.8436 | 0.9185 |
396
+ | 0.3568 | 12.1053 | 690 | 0.8701 | 0.3869 | 0.8701 | 0.9328 |
397
+ | 0.3568 | 12.1404 | 692 | 0.9509 | 0.3655 | 0.9509 | 0.9752 |
398
+ | 0.3568 | 12.1754 | 694 | 0.9830 | 0.3696 | 0.9830 | 0.9915 |
399
+ | 0.3568 | 12.2105 | 696 | 0.9167 | 0.3614 | 0.9167 | 0.9574 |
400
+ | 0.3568 | 12.2456 | 698 | 0.8691 | 0.3829 | 0.8691 | 0.9323 |
401
+ | 0.3568 | 12.2807 | 700 | 0.8435 | 0.4290 | 0.8435 | 0.9184 |
402
+ | 0.3568 | 12.3158 | 702 | 0.8374 | 0.4508 | 0.8374 | 0.9151 |
403
+ | 0.3568 | 12.3509 | 704 | 0.8577 | 0.4643 | 0.8577 | 0.9261 |
404
+ | 0.3568 | 12.3860 | 706 | 0.9236 | 0.4119 | 0.9236 | 0.9611 |
405
+ | 0.3568 | 12.4211 | 708 | 0.9391 | 0.4338 | 0.9391 | 0.9691 |
406
+ | 0.3568 | 12.4561 | 710 | 0.9479 | 0.3852 | 0.9479 | 0.9736 |
407
+ | 0.3568 | 12.4912 | 712 | 0.9317 | 0.3852 | 0.9317 | 0.9652 |
408
+ | 0.3568 | 12.5263 | 714 | 0.8675 | 0.4548 | 0.8675 | 0.9314 |
409
+ | 0.3568 | 12.5614 | 716 | 0.8502 | 0.4962 | 0.8502 | 0.9221 |
410
+ | 0.3568 | 12.5965 | 718 | 0.8689 | 0.4483 | 0.8689 | 0.9322 |
411
+ | 0.3568 | 12.6316 | 720 | 0.9573 | 0.4119 | 0.9573 | 0.9784 |
412
+ | 0.3568 | 12.6667 | 722 | 1.0281 | 0.4556 | 1.0281 | 1.0140 |
413
+ | 0.3568 | 12.7018 | 724 | 0.9977 | 0.4556 | 0.9977 | 0.9988 |
414
+ | 0.3568 | 12.7368 | 726 | 0.8872 | 0.4731 | 0.8872 | 0.9419 |
415
+ | 0.3568 | 12.7719 | 728 | 0.8347 | 0.4834 | 0.8347 | 0.9136 |
416
+ | 0.3568 | 12.8070 | 730 | 0.8351 | 0.4349 | 0.8351 | 0.9139 |
417
+ | 0.3568 | 12.8421 | 732 | 0.8538 | 0.4898 | 0.8538 | 0.9240 |
418
+ | 0.3568 | 12.8772 | 734 | 0.9070 | 0.3852 | 0.9070 | 0.9524 |
419
+ | 0.3568 | 12.9123 | 736 | 0.9331 | 0.3806 | 0.9331 | 0.9660 |
420
+ | 0.3568 | 12.9474 | 738 | 0.9071 | 0.4137 | 0.9071 | 0.9524 |
421
+ | 0.3568 | 12.9825 | 740 | 0.8677 | 0.4993 | 0.8677 | 0.9315 |
422
+ | 0.3568 | 13.0175 | 742 | 0.8419 | 0.4768 | 0.8419 | 0.9176 |
423
+ | 0.3568 | 13.0526 | 744 | 0.8340 | 0.5076 | 0.8340 | 0.9132 |
424
+ | 0.3568 | 13.0877 | 746 | 0.8295 | 0.4671 | 0.8295 | 0.9108 |
425
+ | 0.3568 | 13.1228 | 748 | 0.8256 | 0.5479 | 0.8256 | 0.9086 |
426
+ | 0.3568 | 13.1579 | 750 | 0.8469 | 0.4434 | 0.8469 | 0.9203 |
427
+ | 0.3568 | 13.1930 | 752 | 0.8931 | 0.3897 | 0.8931 | 0.9450 |
428
+ | 0.3568 | 13.2281 | 754 | 0.8840 | 0.3897 | 0.8840 | 0.9402 |
429
+ | 0.3568 | 13.2632 | 756 | 0.8440 | 0.4534 | 0.8440 | 0.9187 |
430
+ | 0.3568 | 13.2982 | 758 | 0.8139 | 0.5173 | 0.8139 | 0.9021 |
431
+ | 0.3568 | 13.3333 | 760 | 0.8095 | 0.5785 | 0.8095 | 0.8997 |
432
+ | 0.3568 | 13.3684 | 762 | 0.8091 | 0.5785 | 0.8091 | 0.8995 |
433
+ | 0.3568 | 13.4035 | 764 | 0.8148 | 0.5579 | 0.8148 | 0.9027 |
434
+ | 0.3568 | 13.4386 | 766 | 0.8412 | 0.4555 | 0.8412 | 0.9172 |
435
+ | 0.3568 | 13.4737 | 768 | 0.8806 | 0.4137 | 0.8806 | 0.9384 |
436
+ | 0.3568 | 13.5088 | 770 | 0.8932 | 0.4098 | 0.8932 | 0.9451 |
437
+ | 0.3568 | 13.5439 | 772 | 0.8815 | 0.3960 | 0.8815 | 0.9389 |
438
+ | 0.3568 | 13.5789 | 774 | 0.8936 | 0.4197 | 0.8936 | 0.9453 |
439
+ | 0.3568 | 13.6140 | 776 | 0.8958 | 0.4122 | 0.8958 | 0.9465 |
440
+ | 0.3568 | 13.6491 | 778 | 0.8974 | 0.4789 | 0.8974 | 0.9473 |
441
+ | 0.3568 | 13.6842 | 780 | 0.9041 | 0.4349 | 0.9041 | 0.9509 |
442
+ | 0.3568 | 13.7193 | 782 | 0.9122 | 0.3788 | 0.9122 | 0.9551 |
443
+ | 0.3568 | 13.7544 | 784 | 0.9244 | 0.3788 | 0.9244 | 0.9615 |
444
+ | 0.3568 | 13.7895 | 786 | 0.9484 | 0.3184 | 0.9484 | 0.9739 |
445
+ | 0.3568 | 13.8246 | 788 | 0.9967 | 0.3756 | 0.9967 | 0.9983 |
446
+ | 0.3568 | 13.8596 | 790 | 1.1568 | 0.2687 | 1.1568 | 1.0755 |
447
+ | 0.3568 | 13.8947 | 792 | 1.2625 | 0.3202 | 1.2625 | 1.1236 |
448
+ | 0.3568 | 13.9298 | 794 | 1.2209 | 0.2915 | 1.2209 | 1.1049 |
449
+ | 0.3568 | 13.9649 | 796 | 1.2008 | 0.2439 | 1.2008 | 1.0958 |
450
+ | 0.3568 | 14.0 | 798 | 1.1477 | 0.2482 | 1.1477 | 1.0713 |
451
+
452
+
453
+ ### Framework versions
454
+
455
+ - Transformers 4.44.2
456
+ - Pytorch 2.4.0+cu118
457
+ - Datasets 2.21.0
458
+ - 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:e0502fc963595aa3bdf31b33a19da5f145754602fb27422c4eae0d2f669395c5
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96c2b79d58f6cbe199b074306b7b5f6e04842d7236840bd60ecaa2165d17bb96
3
+ size 5304