Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_task2_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
188eca9
·
verified ·
1 Parent(s): 80c27a5

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +321 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,321 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k15_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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k15_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: 0.9111
19
+ - Qwk: 0.4175
20
+ - Mse: 0.9111
21
+ - Rmse: 0.9545
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 | 4.3672 | 0.0010 | 4.3672 | 2.0898 |
53
+ | No log | 0.0702 | 4 | 2.4485 | 0.0366 | 2.4485 | 1.5648 |
54
+ | No log | 0.1053 | 6 | 1.5543 | 0.0504 | 1.5543 | 1.2467 |
55
+ | No log | 0.1404 | 8 | 1.2024 | 0.1176 | 1.2024 | 1.0965 |
56
+ | No log | 0.1754 | 10 | 1.2771 | 0.0228 | 1.2771 | 1.1301 |
57
+ | No log | 0.2105 | 12 | 1.1999 | 0.1076 | 1.1999 | 1.0954 |
58
+ | No log | 0.2456 | 14 | 1.0908 | 0.2400 | 1.0908 | 1.0444 |
59
+ | No log | 0.2807 | 16 | 1.1140 | 0.1448 | 1.1140 | 1.0554 |
60
+ | No log | 0.3158 | 18 | 1.4715 | 0.1540 | 1.4715 | 1.2131 |
61
+ | No log | 0.3509 | 20 | 1.5754 | 0.1248 | 1.5754 | 1.2552 |
62
+ | No log | 0.3860 | 22 | 1.7755 | 0.1774 | 1.7755 | 1.3325 |
63
+ | No log | 0.4211 | 24 | 1.6963 | 0.1942 | 1.6963 | 1.3024 |
64
+ | No log | 0.4561 | 26 | 1.4195 | 0.2418 | 1.4195 | 1.1914 |
65
+ | No log | 0.4912 | 28 | 1.0775 | 0.3218 | 1.0775 | 1.0380 |
66
+ | No log | 0.5263 | 30 | 1.0291 | 0.3313 | 1.0291 | 1.0145 |
67
+ | No log | 0.5614 | 32 | 1.4283 | 0.2653 | 1.4283 | 1.1951 |
68
+ | No log | 0.5965 | 34 | 1.8574 | 0.2512 | 1.8574 | 1.3629 |
69
+ | No log | 0.6316 | 36 | 1.5062 | 0.2210 | 1.5062 | 1.2273 |
70
+ | No log | 0.6667 | 38 | 1.4424 | 0.2210 | 1.4424 | 1.2010 |
71
+ | No log | 0.7018 | 40 | 1.3601 | 0.2418 | 1.3601 | 1.1662 |
72
+ | No log | 0.7368 | 42 | 1.0806 | 0.3421 | 1.0806 | 1.0395 |
73
+ | No log | 0.7719 | 44 | 1.1691 | 0.3513 | 1.1691 | 1.0812 |
74
+ | No log | 0.8070 | 46 | 1.6756 | 0.1750 | 1.6756 | 1.2944 |
75
+ | No log | 0.8421 | 48 | 2.5183 | 0.1451 | 2.5183 | 1.5869 |
76
+ | No log | 0.8772 | 50 | 2.7587 | 0.1076 | 2.7587 | 1.6609 |
77
+ | No log | 0.9123 | 52 | 2.4779 | 0.1783 | 2.4779 | 1.5741 |
78
+ | No log | 0.9474 | 54 | 1.9739 | 0.2237 | 1.9739 | 1.4050 |
79
+ | No log | 0.9825 | 56 | 1.7053 | 0.1068 | 1.7053 | 1.3059 |
80
+ | No log | 1.0175 | 58 | 1.4415 | 0.1309 | 1.4415 | 1.2006 |
81
+ | No log | 1.0526 | 60 | 1.1570 | 0.2752 | 1.1570 | 1.0756 |
82
+ | No log | 1.0877 | 62 | 1.1632 | 0.2959 | 1.1632 | 1.0785 |
83
+ | No log | 1.1228 | 64 | 1.7059 | 0.2238 | 1.7059 | 1.3061 |
84
+ | No log | 1.1579 | 66 | 1.7888 | 0.1844 | 1.7888 | 1.3375 |
85
+ | No log | 1.1930 | 68 | 1.6344 | 0.2286 | 1.6344 | 1.2784 |
86
+ | No log | 1.2281 | 70 | 1.4248 | 0.2708 | 1.4248 | 1.1937 |
87
+ | No log | 1.2632 | 72 | 1.2002 | 0.3255 | 1.2002 | 1.0955 |
88
+ | No log | 1.2982 | 74 | 1.0245 | 0.3306 | 1.0245 | 1.0122 |
89
+ | No log | 1.3333 | 76 | 0.9288 | 0.3338 | 0.9288 | 0.9637 |
90
+ | No log | 1.3684 | 78 | 0.9198 | 0.3693 | 0.9198 | 0.9591 |
91
+ | No log | 1.4035 | 80 | 0.9688 | 0.3236 | 0.9688 | 0.9843 |
92
+ | No log | 1.4386 | 82 | 1.0491 | 0.3006 | 1.0491 | 1.0242 |
93
+ | No log | 1.4737 | 84 | 1.2391 | 0.3590 | 1.2391 | 1.1132 |
94
+ | No log | 1.5088 | 86 | 1.1830 | 0.3676 | 1.1830 | 1.0877 |
95
+ | No log | 1.5439 | 88 | 1.1483 | 0.3340 | 1.1483 | 1.0716 |
96
+ | No log | 1.5789 | 90 | 0.9510 | 0.4227 | 0.9510 | 0.9752 |
97
+ | No log | 1.6140 | 92 | 0.8226 | 0.4563 | 0.8226 | 0.9069 |
98
+ | No log | 1.6491 | 94 | 0.8450 | 0.4341 | 0.8450 | 0.9192 |
99
+ | No log | 1.6842 | 96 | 0.9686 | 0.2886 | 0.9686 | 0.9842 |
100
+ | No log | 1.7193 | 98 | 1.0025 | 0.3590 | 1.0025 | 1.0012 |
101
+ | No log | 1.7544 | 100 | 0.9344 | 0.4155 | 0.9344 | 0.9666 |
102
+ | No log | 1.7895 | 102 | 0.9743 | 0.4532 | 0.9743 | 0.9871 |
103
+ | No log | 1.8246 | 104 | 1.0818 | 0.4186 | 1.0818 | 1.0401 |
104
+ | No log | 1.8596 | 106 | 0.9869 | 0.4833 | 0.9869 | 0.9934 |
105
+ | No log | 1.8947 | 108 | 0.9310 | 0.4612 | 0.9310 | 0.9649 |
106
+ | No log | 1.9298 | 110 | 0.9084 | 0.5118 | 0.9084 | 0.9531 |
107
+ | No log | 1.9649 | 112 | 0.7988 | 0.6116 | 0.7988 | 0.8938 |
108
+ | No log | 2.0 | 114 | 0.7642 | 0.5634 | 0.7642 | 0.8742 |
109
+ | No log | 2.0351 | 116 | 0.8515 | 0.5039 | 0.8515 | 0.9228 |
110
+ | No log | 2.0702 | 118 | 0.8289 | 0.5235 | 0.8289 | 0.9104 |
111
+ | No log | 2.1053 | 120 | 0.7471 | 0.5966 | 0.7471 | 0.8643 |
112
+ | No log | 2.1404 | 122 | 0.8180 | 0.6012 | 0.8180 | 0.9044 |
113
+ | No log | 2.1754 | 124 | 1.0217 | 0.4539 | 1.0217 | 1.0108 |
114
+ | No log | 2.2105 | 126 | 0.8886 | 0.5062 | 0.8886 | 0.9426 |
115
+ | No log | 2.2456 | 128 | 0.7655 | 0.6578 | 0.7655 | 0.8749 |
116
+ | No log | 2.2807 | 130 | 0.7848 | 0.5752 | 0.7848 | 0.8859 |
117
+ | No log | 2.3158 | 132 | 0.8062 | 0.4944 | 0.8062 | 0.8979 |
118
+ | No log | 2.3509 | 134 | 0.8527 | 0.5360 | 0.8527 | 0.9234 |
119
+ | No log | 2.3860 | 136 | 0.9175 | 0.4867 | 0.9175 | 0.9578 |
120
+ | No log | 2.4211 | 138 | 1.0158 | 0.4867 | 1.0158 | 1.0079 |
121
+ | No log | 2.4561 | 140 | 1.0256 | 0.4758 | 1.0256 | 1.0127 |
122
+ | No log | 2.4912 | 142 | 0.9715 | 0.4906 | 0.9715 | 0.9857 |
123
+ | No log | 2.5263 | 144 | 0.8447 | 0.4944 | 0.8447 | 0.9191 |
124
+ | No log | 2.5614 | 146 | 0.9137 | 0.4890 | 0.9137 | 0.9559 |
125
+ | No log | 2.5965 | 148 | 0.8541 | 0.5196 | 0.8541 | 0.9242 |
126
+ | No log | 2.6316 | 150 | 0.8730 | 0.6064 | 0.8730 | 0.9343 |
127
+ | No log | 2.6667 | 152 | 1.2085 | 0.4283 | 1.2085 | 1.0993 |
128
+ | No log | 2.7018 | 154 | 1.2653 | 0.3511 | 1.2653 | 1.1249 |
129
+ | No log | 2.7368 | 156 | 1.0372 | 0.4894 | 1.0372 | 1.0184 |
130
+ | No log | 2.7719 | 158 | 0.8907 | 0.4709 | 0.8907 | 0.9438 |
131
+ | No log | 2.8070 | 160 | 0.8804 | 0.4757 | 0.8804 | 0.9383 |
132
+ | No log | 2.8421 | 162 | 0.8447 | 0.4519 | 0.8447 | 0.9191 |
133
+ | No log | 2.8772 | 164 | 0.8328 | 0.4823 | 0.8328 | 0.9126 |
134
+ | No log | 2.9123 | 166 | 1.1075 | 0.4386 | 1.1075 | 1.0524 |
135
+ | No log | 2.9474 | 168 | 1.3417 | 0.3768 | 1.3417 | 1.1583 |
136
+ | No log | 2.9825 | 170 | 1.0889 | 0.3902 | 1.0889 | 1.0435 |
137
+ | No log | 3.0175 | 172 | 0.8714 | 0.4607 | 0.8714 | 0.9335 |
138
+ | No log | 3.0526 | 174 | 0.8595 | 0.4288 | 0.8595 | 0.9271 |
139
+ | No log | 3.0877 | 176 | 0.9086 | 0.3891 | 0.9086 | 0.9532 |
140
+ | No log | 3.1228 | 178 | 0.9745 | 0.3319 | 0.9745 | 0.9872 |
141
+ | No log | 3.1579 | 180 | 1.1436 | 0.3078 | 1.1436 | 1.0694 |
142
+ | No log | 3.1930 | 182 | 1.1734 | 0.2750 | 1.1734 | 1.0832 |
143
+ | No log | 3.2281 | 184 | 1.0275 | 0.2864 | 1.0275 | 1.0137 |
144
+ | No log | 3.2632 | 186 | 0.8918 | 0.4865 | 0.8918 | 0.9444 |
145
+ | No log | 3.2982 | 188 | 0.9737 | 0.4974 | 0.9737 | 0.9868 |
146
+ | No log | 3.3333 | 190 | 0.9515 | 0.5116 | 0.9515 | 0.9755 |
147
+ | No log | 3.3684 | 192 | 0.8390 | 0.5695 | 0.8390 | 0.9160 |
148
+ | No log | 3.4035 | 194 | 1.0846 | 0.5057 | 1.0846 | 1.0414 |
149
+ | No log | 3.4386 | 196 | 1.2488 | 0.3105 | 1.2488 | 1.1175 |
150
+ | No log | 3.4737 | 198 | 1.0417 | 0.5317 | 1.0417 | 1.0206 |
151
+ | No log | 3.5088 | 200 | 0.9406 | 0.5488 | 0.9406 | 0.9698 |
152
+ | No log | 3.5439 | 202 | 0.9165 | 0.4813 | 0.9165 | 0.9574 |
153
+ | No log | 3.5789 | 204 | 0.9194 | 0.4176 | 0.9194 | 0.9589 |
154
+ | No log | 3.6140 | 206 | 0.9451 | 0.4158 | 0.9451 | 0.9722 |
155
+ | No log | 3.6491 | 208 | 0.9981 | 0.3237 | 0.9981 | 0.9990 |
156
+ | No log | 3.6842 | 210 | 1.0080 | 0.3337 | 1.0080 | 1.0040 |
157
+ | No log | 3.7193 | 212 | 0.9979 | 0.3392 | 0.9979 | 0.9989 |
158
+ | No log | 3.7544 | 214 | 0.9816 | 0.3408 | 0.9816 | 0.9908 |
159
+ | No log | 3.7895 | 216 | 0.9750 | 0.3392 | 0.9750 | 0.9874 |
160
+ | No log | 3.8246 | 218 | 0.9533 | 0.3979 | 0.9533 | 0.9764 |
161
+ | No log | 3.8596 | 220 | 1.0075 | 0.3532 | 1.0075 | 1.0037 |
162
+ | No log | 3.8947 | 222 | 1.1087 | 0.2922 | 1.1087 | 1.0529 |
163
+ | No log | 3.9298 | 224 | 1.0719 | 0.3207 | 1.0719 | 1.0353 |
164
+ | No log | 3.9649 | 226 | 1.0266 | 0.3078 | 1.0266 | 1.0132 |
165
+ | No log | 4.0 | 228 | 0.9515 | 0.3838 | 0.9515 | 0.9755 |
166
+ | No log | 4.0351 | 230 | 0.9667 | 0.4050 | 0.9667 | 0.9832 |
167
+ | No log | 4.0702 | 232 | 0.9473 | 0.3858 | 0.9473 | 0.9733 |
168
+ | No log | 4.1053 | 234 | 0.9595 | 0.3925 | 0.9595 | 0.9795 |
169
+ | No log | 4.1404 | 236 | 0.9722 | 0.4064 | 0.9722 | 0.9860 |
170
+ | No log | 4.1754 | 238 | 0.9678 | 0.3935 | 0.9678 | 0.9838 |
171
+ | No log | 4.2105 | 240 | 0.9761 | 0.3250 | 0.9761 | 0.9880 |
172
+ | No log | 4.2456 | 242 | 0.9660 | 0.3468 | 0.9660 | 0.9829 |
173
+ | No log | 4.2807 | 244 | 0.9374 | 0.3537 | 0.9374 | 0.9682 |
174
+ | No log | 4.3158 | 246 | 0.9223 | 0.3796 | 0.9223 | 0.9603 |
175
+ | No log | 4.3509 | 248 | 0.9049 | 0.3836 | 0.9049 | 0.9513 |
176
+ | No log | 4.3860 | 250 | 0.9072 | 0.3535 | 0.9072 | 0.9525 |
177
+ | No log | 4.4211 | 252 | 0.9717 | 0.4792 | 0.9717 | 0.9858 |
178
+ | No log | 4.4561 | 254 | 0.9225 | 0.4792 | 0.9225 | 0.9605 |
179
+ | No log | 4.4912 | 256 | 0.8728 | 0.4435 | 0.8728 | 0.9342 |
180
+ | No log | 4.5263 | 258 | 0.8989 | 0.3719 | 0.8989 | 0.9481 |
181
+ | No log | 4.5614 | 260 | 1.0707 | 0.4153 | 1.0707 | 1.0347 |
182
+ | No log | 4.5965 | 262 | 1.0650 | 0.4383 | 1.0650 | 1.0320 |
183
+ | No log | 4.6316 | 264 | 0.9041 | 0.4735 | 0.9041 | 0.9509 |
184
+ | No log | 4.6667 | 266 | 0.8079 | 0.5336 | 0.8079 | 0.8988 |
185
+ | No log | 4.7018 | 268 | 0.9008 | 0.5014 | 0.9008 | 0.9491 |
186
+ | No log | 4.7368 | 270 | 0.8887 | 0.5141 | 0.8887 | 0.9427 |
187
+ | No log | 4.7719 | 272 | 0.8037 | 0.5131 | 0.8037 | 0.8965 |
188
+ | No log | 4.8070 | 274 | 0.8865 | 0.5065 | 0.8865 | 0.9415 |
189
+ | No log | 4.8421 | 276 | 1.2948 | 0.3788 | 1.2948 | 1.1379 |
190
+ | No log | 4.8772 | 278 | 1.5563 | 0.3364 | 1.5563 | 1.2475 |
191
+ | No log | 4.9123 | 280 | 1.2805 | 0.3581 | 1.2805 | 1.1316 |
192
+ | No log | 4.9474 | 282 | 0.9106 | 0.5122 | 0.9106 | 0.9542 |
193
+ | No log | 4.9825 | 284 | 0.7932 | 0.4489 | 0.7932 | 0.8906 |
194
+ | No log | 5.0175 | 286 | 0.8748 | 0.4690 | 0.8748 | 0.9353 |
195
+ | No log | 5.0526 | 288 | 0.9580 | 0.3697 | 0.9580 | 0.9788 |
196
+ | No log | 5.0877 | 290 | 0.8979 | 0.4102 | 0.8979 | 0.9476 |
197
+ | No log | 5.1228 | 292 | 0.8278 | 0.4656 | 0.8278 | 0.9098 |
198
+ | No log | 5.1579 | 294 | 0.8029 | 0.3728 | 0.8029 | 0.8961 |
199
+ | No log | 5.1930 | 296 | 0.8370 | 0.4410 | 0.8370 | 0.9149 |
200
+ | No log | 5.2281 | 298 | 0.8277 | 0.4410 | 0.8277 | 0.9098 |
201
+ | No log | 5.2632 | 300 | 0.7581 | 0.5660 | 0.7581 | 0.8707 |
202
+ | No log | 5.2982 | 302 | 0.7499 | 0.4568 | 0.7499 | 0.8659 |
203
+ | No log | 5.3333 | 304 | 0.7399 | 0.5538 | 0.7399 | 0.8602 |
204
+ | No log | 5.3684 | 306 | 0.7510 | 0.5376 | 0.7510 | 0.8666 |
205
+ | No log | 5.4035 | 308 | 0.7453 | 0.5348 | 0.7453 | 0.8633 |
206
+ | No log | 5.4386 | 310 | 0.7711 | 0.4601 | 0.7711 | 0.8781 |
207
+ | No log | 5.4737 | 312 | 0.8237 | 0.4505 | 0.8237 | 0.9076 |
208
+ | No log | 5.5088 | 314 | 0.8415 | 0.4181 | 0.8415 | 0.9173 |
209
+ | No log | 5.5439 | 316 | 0.8550 | 0.4349 | 0.8550 | 0.9247 |
210
+ | No log | 5.5789 | 318 | 0.8812 | 0.4084 | 0.8812 | 0.9387 |
211
+ | No log | 5.6140 | 320 | 0.9188 | 0.4397 | 0.9188 | 0.9585 |
212
+ | No log | 5.6491 | 322 | 0.9581 | 0.3668 | 0.9581 | 0.9788 |
213
+ | No log | 5.6842 | 324 | 0.9284 | 0.4258 | 0.9284 | 0.9635 |
214
+ | No log | 5.7193 | 326 | 0.9118 | 0.3715 | 0.9118 | 0.9549 |
215
+ | No log | 5.7544 | 328 | 0.8982 | 0.4086 | 0.8982 | 0.9477 |
216
+ | No log | 5.7895 | 330 | 0.8750 | 0.4981 | 0.8750 | 0.9354 |
217
+ | No log | 5.8246 | 332 | 0.8662 | 0.4508 | 0.8662 | 0.9307 |
218
+ | No log | 5.8596 | 334 | 0.8512 | 0.5251 | 0.8512 | 0.9226 |
219
+ | No log | 5.8947 | 336 | 0.8798 | 0.4119 | 0.8798 | 0.9380 |
220
+ | No log | 5.9298 | 338 | 0.8824 | 0.4248 | 0.8824 | 0.9393 |
221
+ | No log | 5.9649 | 340 | 0.8931 | 0.4596 | 0.8931 | 0.9450 |
222
+ | No log | 6.0 | 342 | 0.8454 | 0.4880 | 0.8454 | 0.9195 |
223
+ | No log | 6.0351 | 344 | 0.8414 | 0.4880 | 0.8414 | 0.9173 |
224
+ | No log | 6.0702 | 346 | 0.7930 | 0.4912 | 0.7930 | 0.8905 |
225
+ | No log | 6.1053 | 348 | 0.7976 | 0.4996 | 0.7976 | 0.8931 |
226
+ | No log | 6.1404 | 350 | 0.8157 | 0.4757 | 0.8157 | 0.9032 |
227
+ | No log | 6.1754 | 352 | 0.8019 | 0.4568 | 0.8019 | 0.8955 |
228
+ | No log | 6.2105 | 354 | 0.7971 | 0.4866 | 0.7971 | 0.8928 |
229
+ | No log | 6.2456 | 356 | 0.8745 | 0.4912 | 0.8745 | 0.9351 |
230
+ | No log | 6.2807 | 358 | 0.9350 | 0.4318 | 0.9350 | 0.9670 |
231
+ | No log | 6.3158 | 360 | 0.8805 | 0.4731 | 0.8805 | 0.9384 |
232
+ | No log | 6.3509 | 362 | 0.8184 | 0.4508 | 0.8184 | 0.9046 |
233
+ | No log | 6.3860 | 364 | 0.8328 | 0.4996 | 0.8328 | 0.9126 |
234
+ | No log | 6.4211 | 366 | 0.8480 | 0.4852 | 0.8480 | 0.9209 |
235
+ | No log | 6.4561 | 368 | 0.8483 | 0.4575 | 0.8483 | 0.9210 |
236
+ | No log | 6.4912 | 370 | 0.8661 | 0.4120 | 0.8661 | 0.9306 |
237
+ | No log | 6.5263 | 372 | 0.8704 | 0.4455 | 0.8704 | 0.9329 |
238
+ | No log | 6.5614 | 374 | 0.8692 | 0.4142 | 0.8692 | 0.9323 |
239
+ | No log | 6.5965 | 376 | 0.8649 | 0.5029 | 0.8649 | 0.9300 |
240
+ | No log | 6.6316 | 378 | 0.8480 | 0.4820 | 0.8480 | 0.9209 |
241
+ | No log | 6.6667 | 380 | 0.8439 | 0.4313 | 0.8439 | 0.9186 |
242
+ | No log | 6.7018 | 382 | 0.8685 | 0.4242 | 0.8685 | 0.9319 |
243
+ | No log | 6.7368 | 384 | 0.9227 | 0.4666 | 0.9227 | 0.9606 |
244
+ | No log | 6.7719 | 386 | 0.9689 | 0.4031 | 0.9689 | 0.9843 |
245
+ | No log | 6.8070 | 388 | 0.9834 | 0.4031 | 0.9834 | 0.9917 |
246
+ | No log | 6.8421 | 390 | 0.9677 | 0.3926 | 0.9677 | 0.9837 |
247
+ | No log | 6.8772 | 392 | 0.9471 | 0.3998 | 0.9471 | 0.9732 |
248
+ | No log | 6.9123 | 394 | 0.9272 | 0.4023 | 0.9272 | 0.9629 |
249
+ | No log | 6.9474 | 396 | 0.9179 | 0.4268 | 0.9179 | 0.9581 |
250
+ | No log | 6.9825 | 398 | 0.8920 | 0.4962 | 0.8920 | 0.9444 |
251
+ | No log | 7.0175 | 400 | 0.8917 | 0.5295 | 0.8917 | 0.9443 |
252
+ | No log | 7.0526 | 402 | 0.9385 | 0.5175 | 0.9385 | 0.9687 |
253
+ | No log | 7.0877 | 404 | 0.9497 | 0.4734 | 0.9497 | 0.9745 |
254
+ | No log | 7.1228 | 406 | 0.9138 | 0.4409 | 0.9138 | 0.9559 |
255
+ | No log | 7.1579 | 408 | 0.9186 | 0.4059 | 0.9186 | 0.9584 |
256
+ | No log | 7.1930 | 410 | 0.9414 | 0.4042 | 0.9414 | 0.9703 |
257
+ | No log | 7.2281 | 412 | 0.9201 | 0.3328 | 0.9201 | 0.9592 |
258
+ | No log | 7.2632 | 414 | 0.9122 | 0.3328 | 0.9122 | 0.9551 |
259
+ | No log | 7.2982 | 416 | 0.8957 | 0.3695 | 0.8957 | 0.9464 |
260
+ | No log | 7.3333 | 418 | 0.9018 | 0.4799 | 0.9018 | 0.9496 |
261
+ | No log | 7.3684 | 420 | 0.8787 | 0.5073 | 0.8787 | 0.9374 |
262
+ | No log | 7.4035 | 422 | 0.8564 | 0.4385 | 0.8564 | 0.9254 |
263
+ | No log | 7.4386 | 424 | 0.9189 | 0.4212 | 0.9189 | 0.9586 |
264
+ | No log | 7.4737 | 426 | 1.0669 | 0.3835 | 1.0669 | 1.0329 |
265
+ | No log | 7.5088 | 428 | 1.0492 | 0.3747 | 1.0492 | 1.0243 |
266
+ | No log | 7.5439 | 430 | 1.0471 | 0.3484 | 1.0471 | 1.0233 |
267
+ | No log | 7.5789 | 432 | 0.9913 | 0.3389 | 0.9913 | 0.9956 |
268
+ | No log | 7.6140 | 434 | 0.9203 | 0.4137 | 0.9203 | 0.9593 |
269
+ | No log | 7.6491 | 436 | 0.8911 | 0.4908 | 0.8911 | 0.9440 |
270
+ | No log | 7.6842 | 438 | 0.9066 | 0.4570 | 0.9066 | 0.9522 |
271
+ | No log | 7.7193 | 440 | 0.9247 | 0.4471 | 0.9247 | 0.9616 |
272
+ | No log | 7.7544 | 442 | 0.9522 | 0.4371 | 0.9522 | 0.9758 |
273
+ | No log | 7.7895 | 444 | 0.9586 | 0.3705 | 0.9586 | 0.9791 |
274
+ | No log | 7.8246 | 446 | 0.9542 | 0.3705 | 0.9542 | 0.9769 |
275
+ | No log | 7.8596 | 448 | 0.8860 | 0.5199 | 0.8860 | 0.9413 |
276
+ | No log | 7.8947 | 450 | 0.8369 | 0.4959 | 0.8369 | 0.9148 |
277
+ | No log | 7.9298 | 452 | 0.8147 | 0.4933 | 0.8147 | 0.9026 |
278
+ | No log | 7.9649 | 454 | 0.8154 | 0.5302 | 0.8154 | 0.9030 |
279
+ | No log | 8.0 | 456 | 0.8140 | 0.5621 | 0.8140 | 0.9022 |
280
+ | No log | 8.0351 | 458 | 0.8216 | 0.5633 | 0.8216 | 0.9064 |
281
+ | No log | 8.0702 | 460 | 0.8130 | 0.5684 | 0.8130 | 0.9017 |
282
+ | No log | 8.1053 | 462 | 0.8211 | 0.5119 | 0.8211 | 0.9061 |
283
+ | No log | 8.1404 | 464 | 0.8307 | 0.4617 | 0.8307 | 0.9114 |
284
+ | No log | 8.1754 | 466 | 0.8373 | 0.4617 | 0.8373 | 0.9150 |
285
+ | No log | 8.2105 | 468 | 0.8449 | 0.4413 | 0.8449 | 0.9192 |
286
+ | No log | 8.2456 | 470 | 0.8711 | 0.5045 | 0.8711 | 0.9333 |
287
+ | No log | 8.2807 | 472 | 0.9142 | 0.5164 | 0.9142 | 0.9561 |
288
+ | No log | 8.3158 | 474 | 0.8814 | 0.5493 | 0.8814 | 0.9388 |
289
+ | No log | 8.3509 | 476 | 0.8037 | 0.4768 | 0.8037 | 0.8965 |
290
+ | No log | 8.3860 | 478 | 0.8134 | 0.5055 | 0.8134 | 0.9019 |
291
+ | No log | 8.4211 | 480 | 0.9136 | 0.4943 | 0.9136 | 0.9558 |
292
+ | No log | 8.4561 | 482 | 0.9181 | 0.4943 | 0.9181 | 0.9582 |
293
+ | No log | 8.4912 | 484 | 0.8362 | 0.4666 | 0.8362 | 0.9144 |
294
+ | No log | 8.5263 | 486 | 0.7943 | 0.4695 | 0.7943 | 0.8912 |
295
+ | No log | 8.5614 | 488 | 0.8586 | 0.4690 | 0.8586 | 0.9266 |
296
+ | No log | 8.5965 | 490 | 0.8927 | 0.5610 | 0.8927 | 0.9448 |
297
+ | No log | 8.6316 | 492 | 0.8584 | 0.4700 | 0.8584 | 0.9265 |
298
+ | No log | 8.6667 | 494 | 0.8167 | 0.4413 | 0.8167 | 0.9037 |
299
+ | No log | 8.7018 | 496 | 0.8250 | 0.4780 | 0.8250 | 0.9083 |
300
+ | No log | 8.7368 | 498 | 0.8202 | 0.4681 | 0.8202 | 0.9056 |
301
+ | 0.3647 | 8.7719 | 500 | 0.8042 | 0.4801 | 0.8042 | 0.8968 |
302
+ | 0.3647 | 8.8070 | 502 | 0.7845 | 0.5072 | 0.7845 | 0.8857 |
303
+ | 0.3647 | 8.8421 | 504 | 0.8339 | 0.4961 | 0.8339 | 0.9132 |
304
+ | 0.3647 | 8.8772 | 506 | 0.9286 | 0.4100 | 0.9286 | 0.9637 |
305
+ | 0.3647 | 8.9123 | 508 | 0.8874 | 0.4885 | 0.8874 | 0.9420 |
306
+ | 0.3647 | 8.9474 | 510 | 0.8810 | 0.4435 | 0.8810 | 0.9386 |
307
+ | 0.3647 | 8.9825 | 512 | 0.8439 | 0.5055 | 0.8439 | 0.9186 |
308
+ | 0.3647 | 9.0175 | 514 | 0.8266 | 0.5055 | 0.8266 | 0.9092 |
309
+ | 0.3647 | 9.0526 | 516 | 0.8531 | 0.4212 | 0.8531 | 0.9236 |
310
+ | 0.3647 | 9.0877 | 518 | 0.8967 | 0.4248 | 0.8967 | 0.9470 |
311
+ | 0.3647 | 9.1228 | 520 | 0.9453 | 0.4063 | 0.9453 | 0.9723 |
312
+ | 0.3647 | 9.1579 | 522 | 0.9642 | 0.3972 | 0.9642 | 0.9819 |
313
+ | 0.3647 | 9.1930 | 524 | 0.9111 | 0.4175 | 0.9111 | 0.9545 |
314
+
315
+
316
+ ### Framework versions
317
+
318
+ - Transformers 4.44.2
319
+ - Pytorch 2.4.0+cu118
320
+ - Datasets 2.21.0
321
+ - 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 sha256:522f04059c58f16cc5429fc442e825ad34fe39ec5f601d92e871c13f864aef7a
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:624b564c11e2dc7fc3fd54615818a37c319fcc681bc4935396ba912e9a969ad1
3
+ size 5240