Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k16_task5_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
a2ffb42
·
verified ·
1 Parent(s): 79bb445

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +322 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,322 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_run2_AugV5_k15_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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_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: 0.9626
19
+ - Qwk: 0.3171
20
+ - Mse: 0.9626
21
+ - Rmse: 0.9811
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 | 0.0444 | 2 | 3.9322 | -0.0032 | 3.9322 | 1.9830 |
53
+ | No log | 0.0889 | 4 | 2.8900 | -0.0311 | 2.8900 | 1.7000 |
54
+ | No log | 0.1333 | 6 | 2.4322 | -0.0811 | 2.4322 | 1.5596 |
55
+ | No log | 0.1778 | 8 | 1.9289 | -0.1254 | 1.9289 | 1.3888 |
56
+ | No log | 0.2222 | 10 | 1.3433 | 0.0 | 1.3433 | 1.1590 |
57
+ | No log | 0.2667 | 12 | 1.2600 | 0.0380 | 1.2600 | 1.1225 |
58
+ | No log | 0.3111 | 14 | 1.2458 | 0.0232 | 1.2458 | 1.1162 |
59
+ | No log | 0.3556 | 16 | 1.2753 | 0.0232 | 1.2753 | 1.1293 |
60
+ | No log | 0.4 | 18 | 1.1743 | 0.1057 | 1.1743 | 1.0837 |
61
+ | No log | 0.4444 | 20 | 1.0546 | 0.2615 | 1.0546 | 1.0270 |
62
+ | No log | 0.4889 | 22 | 1.0605 | 0.2088 | 1.0605 | 1.0298 |
63
+ | No log | 0.5333 | 24 | 1.0687 | 0.3370 | 1.0687 | 1.0338 |
64
+ | No log | 0.5778 | 26 | 1.0931 | 0.1631 | 1.0931 | 1.0455 |
65
+ | No log | 0.6222 | 28 | 1.1867 | 0.1261 | 1.1867 | 1.0894 |
66
+ | No log | 0.6667 | 30 | 1.3143 | 0.0 | 1.3143 | 1.1464 |
67
+ | No log | 0.7111 | 32 | 1.2997 | 0.0380 | 1.2997 | 1.1400 |
68
+ | No log | 0.7556 | 34 | 1.1684 | 0.1764 | 1.1684 | 1.0809 |
69
+ | No log | 0.8 | 36 | 1.0939 | 0.1848 | 1.0939 | 1.0459 |
70
+ | No log | 0.8444 | 38 | 1.1921 | 0.1509 | 1.1921 | 1.0918 |
71
+ | No log | 0.8889 | 40 | 1.1828 | 0.1062 | 1.1828 | 1.0876 |
72
+ | No log | 0.9333 | 42 | 1.1239 | 0.1131 | 1.1239 | 1.0602 |
73
+ | No log | 0.9778 | 44 | 1.1486 | 0.1545 | 1.1486 | 1.0717 |
74
+ | No log | 1.0222 | 46 | 1.1195 | 0.1447 | 1.1195 | 1.0581 |
75
+ | No log | 1.0667 | 48 | 1.0588 | 0.1189 | 1.0588 | 1.0290 |
76
+ | No log | 1.1111 | 50 | 1.1541 | 0.1564 | 1.1541 | 1.0743 |
77
+ | No log | 1.1556 | 52 | 1.2408 | 0.1860 | 1.2408 | 1.1139 |
78
+ | No log | 1.2 | 54 | 1.1833 | 0.1205 | 1.1833 | 1.0878 |
79
+ | No log | 1.2444 | 56 | 1.2278 | 0.1118 | 1.2278 | 1.1081 |
80
+ | No log | 1.2889 | 58 | 1.3339 | 0.0415 | 1.3339 | 1.1550 |
81
+ | No log | 1.3333 | 60 | 1.3642 | 0.0323 | 1.3642 | 1.1680 |
82
+ | No log | 1.3778 | 62 | 1.1324 | 0.1255 | 1.1324 | 1.0641 |
83
+ | No log | 1.4222 | 64 | 0.9848 | 0.2316 | 0.9848 | 0.9924 |
84
+ | No log | 1.4667 | 66 | 1.0013 | 0.2718 | 1.0013 | 1.0007 |
85
+ | No log | 1.5111 | 68 | 1.0029 | 0.2572 | 1.0029 | 1.0014 |
86
+ | No log | 1.5556 | 70 | 1.0018 | 0.2600 | 1.0018 | 1.0009 |
87
+ | No log | 1.6 | 72 | 0.9752 | 0.3030 | 0.9752 | 0.9875 |
88
+ | No log | 1.6444 | 74 | 1.0169 | 0.2081 | 1.0169 | 1.0084 |
89
+ | No log | 1.6889 | 76 | 1.0793 | 0.2310 | 1.0793 | 1.0389 |
90
+ | No log | 1.7333 | 78 | 1.1731 | 0.2947 | 1.1731 | 1.0831 |
91
+ | No log | 1.7778 | 80 | 1.3028 | 0.2707 | 1.3028 | 1.1414 |
92
+ | No log | 1.8222 | 82 | 1.1076 | 0.2705 | 1.1076 | 1.0524 |
93
+ | No log | 1.8667 | 84 | 0.9296 | 0.3229 | 0.9296 | 0.9641 |
94
+ | No log | 1.9111 | 86 | 0.9249 | 0.3779 | 0.9249 | 0.9617 |
95
+ | No log | 1.9556 | 88 | 0.9388 | 0.2978 | 0.9388 | 0.9689 |
96
+ | No log | 2.0 | 90 | 0.9241 | 0.3465 | 0.9241 | 0.9613 |
97
+ | No log | 2.0444 | 92 | 1.0209 | 0.3844 | 1.0209 | 1.0104 |
98
+ | No log | 2.0889 | 94 | 1.1244 | 0.2937 | 1.1244 | 1.0604 |
99
+ | No log | 2.1333 | 96 | 1.0440 | 0.3083 | 1.0440 | 1.0218 |
100
+ | No log | 2.1778 | 98 | 0.9789 | 0.2521 | 0.9789 | 0.9894 |
101
+ | No log | 2.2222 | 100 | 1.0553 | 0.2975 | 1.0553 | 1.0273 |
102
+ | No log | 2.2667 | 102 | 1.0555 | 0.2622 | 1.0555 | 1.0274 |
103
+ | No log | 2.3111 | 104 | 1.0122 | 0.3074 | 1.0122 | 1.0061 |
104
+ | No log | 2.3556 | 106 | 1.0915 | 0.2447 | 1.0915 | 1.0447 |
105
+ | No log | 2.4 | 108 | 1.1906 | 0.2317 | 1.1906 | 1.0911 |
106
+ | No log | 2.4444 | 110 | 1.1054 | 0.2424 | 1.1054 | 1.0514 |
107
+ | No log | 2.4889 | 112 | 1.0354 | 0.2607 | 1.0354 | 1.0175 |
108
+ | No log | 2.5333 | 114 | 0.9794 | 0.3172 | 0.9794 | 0.9896 |
109
+ | No log | 2.5778 | 116 | 0.9797 | 0.3314 | 0.9797 | 0.9898 |
110
+ | No log | 2.6222 | 118 | 1.0918 | 0.2658 | 1.0918 | 1.0449 |
111
+ | No log | 2.6667 | 120 | 1.2924 | 0.1860 | 1.2924 | 1.1368 |
112
+ | No log | 2.7111 | 122 | 1.2311 | 0.2615 | 1.2311 | 1.1095 |
113
+ | No log | 2.7556 | 124 | 1.0058 | 0.3256 | 1.0058 | 1.0029 |
114
+ | No log | 2.8 | 126 | 0.9558 | 0.4279 | 0.9558 | 0.9776 |
115
+ | No log | 2.8444 | 128 | 0.9536 | 0.4279 | 0.9536 | 0.9765 |
116
+ | No log | 2.8889 | 130 | 1.0620 | 0.3463 | 1.0620 | 1.0305 |
117
+ | No log | 2.9333 | 132 | 1.1035 | 0.3472 | 1.1035 | 1.0505 |
118
+ | No log | 2.9778 | 134 | 1.0809 | 0.2768 | 1.0809 | 1.0396 |
119
+ | No log | 3.0222 | 136 | 1.0731 | 0.2253 | 1.0731 | 1.0359 |
120
+ | No log | 3.0667 | 138 | 1.0983 | 0.1830 | 1.0983 | 1.0480 |
121
+ | No log | 3.1111 | 140 | 1.0605 | 0.1944 | 1.0605 | 1.0298 |
122
+ | No log | 3.1556 | 142 | 0.9943 | 0.3139 | 0.9943 | 0.9972 |
123
+ | No log | 3.2 | 144 | 0.9393 | 0.3921 | 0.9393 | 0.9692 |
124
+ | No log | 3.2444 | 146 | 0.8884 | 0.2818 | 0.8884 | 0.9425 |
125
+ | No log | 3.2889 | 148 | 0.8955 | 0.2818 | 0.8955 | 0.9463 |
126
+ | No log | 3.3333 | 150 | 0.8870 | 0.3548 | 0.8870 | 0.9418 |
127
+ | No log | 3.3778 | 152 | 0.8965 | 0.3112 | 0.8965 | 0.9468 |
128
+ | No log | 3.4222 | 154 | 0.9330 | 0.3494 | 0.9330 | 0.9659 |
129
+ | No log | 3.4667 | 156 | 0.9464 | 0.3298 | 0.9464 | 0.9728 |
130
+ | No log | 3.5111 | 158 | 0.9207 | 0.3179 | 0.9207 | 0.9595 |
131
+ | No log | 3.5556 | 160 | 0.9148 | 0.3701 | 0.9148 | 0.9565 |
132
+ | No log | 3.6 | 162 | 0.8900 | 0.3930 | 0.8900 | 0.9434 |
133
+ | No log | 3.6444 | 164 | 0.8862 | 0.4491 | 0.8862 | 0.9414 |
134
+ | No log | 3.6889 | 166 | 0.9705 | 0.3495 | 0.9705 | 0.9851 |
135
+ | No log | 3.7333 | 168 | 1.1087 | 0.4172 | 1.1087 | 1.0529 |
136
+ | No log | 3.7778 | 170 | 1.0393 | 0.3427 | 1.0393 | 1.0194 |
137
+ | No log | 3.8222 | 172 | 0.8973 | 0.4097 | 0.8973 | 0.9472 |
138
+ | No log | 3.8667 | 174 | 0.8886 | 0.4286 | 0.8886 | 0.9427 |
139
+ | No log | 3.9111 | 176 | 0.8992 | 0.4405 | 0.8992 | 0.9482 |
140
+ | No log | 3.9556 | 178 | 0.9159 | 0.4359 | 0.9159 | 0.9570 |
141
+ | No log | 4.0 | 180 | 1.0576 | 0.3631 | 1.0576 | 1.0284 |
142
+ | No log | 4.0444 | 182 | 1.1159 | 0.3342 | 1.1159 | 1.0564 |
143
+ | No log | 4.0889 | 184 | 1.0268 | 0.2978 | 1.0268 | 1.0133 |
144
+ | No log | 4.1333 | 186 | 0.9038 | 0.3795 | 0.9038 | 0.9507 |
145
+ | No log | 4.1778 | 188 | 0.8884 | 0.3815 | 0.8884 | 0.9425 |
146
+ | No log | 4.2222 | 190 | 0.8995 | 0.3625 | 0.8995 | 0.9484 |
147
+ | No log | 4.2667 | 192 | 0.9847 | 0.3281 | 0.9847 | 0.9923 |
148
+ | No log | 4.3111 | 194 | 1.0048 | 0.3474 | 1.0048 | 1.0024 |
149
+ | No log | 4.3556 | 196 | 1.0211 | 0.4002 | 1.0211 | 1.0105 |
150
+ | No log | 4.4 | 198 | 0.9412 | 0.3542 | 0.9412 | 0.9702 |
151
+ | No log | 4.4444 | 200 | 0.9328 | 0.4131 | 0.9328 | 0.9658 |
152
+ | No log | 4.4889 | 202 | 0.9724 | 0.3667 | 0.9724 | 0.9861 |
153
+ | No log | 4.5333 | 204 | 1.0340 | 0.3495 | 1.0340 | 1.0168 |
154
+ | No log | 4.5778 | 206 | 1.0077 | 0.3549 | 1.0077 | 1.0039 |
155
+ | No log | 4.6222 | 208 | 0.8797 | 0.3706 | 0.8797 | 0.9379 |
156
+ | No log | 4.6667 | 210 | 0.8567 | 0.3288 | 0.8567 | 0.9256 |
157
+ | No log | 4.7111 | 212 | 0.8489 | 0.3288 | 0.8489 | 0.9213 |
158
+ | No log | 4.7556 | 214 | 0.8537 | 0.2897 | 0.8537 | 0.9240 |
159
+ | No log | 4.8 | 216 | 1.0020 | 0.3539 | 1.0020 | 1.0010 |
160
+ | No log | 4.8444 | 218 | 1.1859 | 0.3429 | 1.1859 | 1.0890 |
161
+ | No log | 4.8889 | 220 | 1.1570 | 0.3647 | 1.1570 | 1.0756 |
162
+ | No log | 4.9333 | 222 | 0.9914 | 0.3671 | 0.9914 | 0.9957 |
163
+ | No log | 4.9778 | 224 | 0.9214 | 0.4214 | 0.9214 | 0.9599 |
164
+ | No log | 5.0222 | 226 | 0.8900 | 0.3454 | 0.8900 | 0.9434 |
165
+ | No log | 5.0667 | 228 | 0.9368 | 0.3454 | 0.9368 | 0.9679 |
166
+ | No log | 5.1111 | 230 | 1.0484 | 0.3902 | 1.0484 | 1.0239 |
167
+ | No log | 5.1556 | 232 | 1.1077 | 0.2981 | 1.1077 | 1.0525 |
168
+ | No log | 5.2 | 234 | 1.0726 | 0.3648 | 1.0726 | 1.0356 |
169
+ | No log | 5.2444 | 236 | 0.9985 | 0.2795 | 0.9985 | 0.9992 |
170
+ | No log | 5.2889 | 238 | 0.9881 | 0.2795 | 0.9881 | 0.9940 |
171
+ | No log | 5.3333 | 240 | 1.0169 | 0.3145 | 1.0169 | 1.0084 |
172
+ | No log | 5.3778 | 242 | 1.0380 | 0.3523 | 1.0380 | 1.0188 |
173
+ | No log | 5.4222 | 244 | 1.0636 | 0.3785 | 1.0636 | 1.0313 |
174
+ | No log | 5.4667 | 246 | 1.0291 | 0.3523 | 1.0291 | 1.0144 |
175
+ | No log | 5.5111 | 248 | 0.9674 | 0.2842 | 0.9674 | 0.9836 |
176
+ | No log | 5.5556 | 250 | 0.9455 | 0.3145 | 0.9455 | 0.9724 |
177
+ | No log | 5.6 | 252 | 0.9587 | 0.3523 | 0.9587 | 0.9792 |
178
+ | No log | 5.6444 | 254 | 1.0091 | 0.3602 | 1.0091 | 1.0045 |
179
+ | No log | 5.6889 | 256 | 1.1442 | 0.3573 | 1.1442 | 1.0696 |
180
+ | No log | 5.7333 | 258 | 1.2187 | 0.3161 | 1.2187 | 1.1039 |
181
+ | No log | 5.7778 | 260 | 1.2515 | 0.2995 | 1.2515 | 1.1187 |
182
+ | No log | 5.8222 | 262 | 1.3433 | 0.3227 | 1.3433 | 1.1590 |
183
+ | No log | 5.8667 | 264 | 1.3659 | 0.2888 | 1.3659 | 1.1687 |
184
+ | No log | 5.9111 | 266 | 1.3306 | 0.1989 | 1.3306 | 1.1535 |
185
+ | No log | 5.9556 | 268 | 1.1515 | 0.2748 | 1.1515 | 1.0731 |
186
+ | No log | 6.0 | 270 | 0.9943 | 0.2547 | 0.9943 | 0.9972 |
187
+ | No log | 6.0444 | 272 | 0.9491 | 0.3243 | 0.9491 | 0.9742 |
188
+ | No log | 6.0889 | 274 | 0.9694 | 0.2842 | 0.9694 | 0.9846 |
189
+ | No log | 6.1333 | 276 | 1.1049 | 0.3067 | 1.1049 | 1.0511 |
190
+ | No log | 6.1778 | 278 | 1.2688 | 0.2192 | 1.2688 | 1.1264 |
191
+ | No log | 6.2222 | 280 | 1.2702 | 0.2564 | 1.2702 | 1.1270 |
192
+ | No log | 6.2667 | 282 | 1.1707 | 0.3210 | 1.1707 | 1.0820 |
193
+ | No log | 6.3111 | 284 | 1.0500 | 0.3542 | 1.0500 | 1.0247 |
194
+ | No log | 6.3556 | 286 | 1.0051 | 0.3542 | 1.0051 | 1.0025 |
195
+ | No log | 6.4 | 288 | 1.0092 | 0.3862 | 1.0092 | 1.0046 |
196
+ | No log | 6.4444 | 290 | 0.9993 | 0.3880 | 0.9993 | 0.9996 |
197
+ | No log | 6.4889 | 292 | 1.0380 | 0.4180 | 1.0380 | 1.0188 |
198
+ | No log | 6.5333 | 294 | 0.9582 | 0.4433 | 0.9582 | 0.9789 |
199
+ | No log | 6.5778 | 296 | 0.8648 | 0.3404 | 0.8648 | 0.9300 |
200
+ | No log | 6.6222 | 298 | 0.8130 | 0.3981 | 0.8130 | 0.9017 |
201
+ | No log | 6.6667 | 300 | 0.8367 | 0.3457 | 0.8367 | 0.9147 |
202
+ | No log | 6.7111 | 302 | 0.8372 | 0.3435 | 0.8372 | 0.9150 |
203
+ | No log | 6.7556 | 304 | 0.9012 | 0.3687 | 0.9012 | 0.9493 |
204
+ | No log | 6.8 | 306 | 1.0537 | 0.4065 | 1.0537 | 1.0265 |
205
+ | No log | 6.8444 | 308 | 1.1105 | 0.3243 | 1.1105 | 1.0538 |
206
+ | No log | 6.8889 | 310 | 1.0717 | 0.3717 | 1.0717 | 1.0352 |
207
+ | No log | 6.9333 | 312 | 1.0035 | 0.3989 | 1.0035 | 1.0018 |
208
+ | No log | 6.9778 | 314 | 0.9631 | 0.3687 | 0.9631 | 0.9814 |
209
+ | No log | 7.0222 | 316 | 0.9917 | 0.4071 | 0.9917 | 0.9958 |
210
+ | No log | 7.0667 | 318 | 1.0363 | 0.3939 | 1.0363 | 1.0180 |
211
+ | No log | 7.1111 | 320 | 1.0450 | 0.3531 | 1.0450 | 1.0222 |
212
+ | No log | 7.1556 | 322 | 1.0357 | 0.2674 | 1.0357 | 1.0177 |
213
+ | No log | 7.2 | 324 | 1.0067 | 0.2623 | 1.0067 | 1.0033 |
214
+ | No log | 7.2444 | 326 | 0.9832 | 0.2771 | 0.9832 | 0.9916 |
215
+ | No log | 7.2889 | 328 | 0.9518 | 0.3404 | 0.9518 | 0.9756 |
216
+ | No log | 7.3333 | 330 | 0.9858 | 0.4085 | 0.9858 | 0.9929 |
217
+ | No log | 7.3778 | 332 | 1.0017 | 0.4085 | 1.0017 | 1.0008 |
218
+ | No log | 7.4222 | 334 | 1.0570 | 0.3775 | 1.0570 | 1.0281 |
219
+ | No log | 7.4667 | 336 | 1.0442 | 0.3862 | 1.0442 | 1.0219 |
220
+ | No log | 7.5111 | 338 | 0.9558 | 0.3687 | 0.9558 | 0.9777 |
221
+ | No log | 7.5556 | 340 | 0.9086 | 0.3348 | 0.9086 | 0.9532 |
222
+ | No log | 7.6 | 342 | 0.9036 | 0.3519 | 0.9036 | 0.9506 |
223
+ | No log | 7.6444 | 344 | 0.8985 | 0.3923 | 0.8985 | 0.9479 |
224
+ | No log | 7.6889 | 346 | 0.8965 | 0.3922 | 0.8965 | 0.9468 |
225
+ | No log | 7.7333 | 348 | 0.9463 | 0.3372 | 0.9463 | 0.9728 |
226
+ | No log | 7.7778 | 350 | 1.0418 | 0.3806 | 1.0418 | 1.0207 |
227
+ | No log | 7.8222 | 352 | 1.0520 | 0.3826 | 1.0520 | 1.0257 |
228
+ | No log | 7.8667 | 354 | 0.9696 | 0.4203 | 0.9696 | 0.9847 |
229
+ | No log | 7.9111 | 356 | 0.8964 | 0.3939 | 0.8964 | 0.9468 |
230
+ | No log | 7.9556 | 358 | 0.8930 | 0.3663 | 0.8930 | 0.9450 |
231
+ | No log | 8.0 | 360 | 0.9136 | 0.3067 | 0.9136 | 0.9558 |
232
+ | No log | 8.0444 | 362 | 0.9712 | 0.2919 | 0.9712 | 0.9855 |
233
+ | No log | 8.0889 | 364 | 0.9821 | 0.2771 | 0.9821 | 0.9910 |
234
+ | No log | 8.1333 | 366 | 0.9467 | 0.2919 | 0.9467 | 0.9730 |
235
+ | No log | 8.1778 | 368 | 0.9235 | 0.2919 | 0.9235 | 0.9610 |
236
+ | No log | 8.2222 | 370 | 0.9601 | 0.2771 | 0.9601 | 0.9798 |
237
+ | No log | 8.2667 | 372 | 0.9629 | 0.2771 | 0.9629 | 0.9813 |
238
+ | No log | 8.3111 | 374 | 0.9501 | 0.3229 | 0.9501 | 0.9747 |
239
+ | No log | 8.3556 | 376 | 0.8993 | 0.3129 | 0.8993 | 0.9483 |
240
+ | No log | 8.4 | 378 | 0.8758 | 0.3941 | 0.8758 | 0.9358 |
241
+ | No log | 8.4444 | 380 | 0.8944 | 0.3974 | 0.8944 | 0.9457 |
242
+ | No log | 8.4889 | 382 | 0.8895 | 0.3974 | 0.8895 | 0.9431 |
243
+ | No log | 8.5333 | 384 | 0.8875 | 0.3958 | 0.8875 | 0.9421 |
244
+ | No log | 8.5778 | 386 | 0.9515 | 0.4203 | 0.9515 | 0.9755 |
245
+ | No log | 8.6222 | 388 | 1.0169 | 0.4203 | 1.0169 | 1.0084 |
246
+ | No log | 8.6667 | 390 | 1.0887 | 0.3806 | 1.0887 | 1.0434 |
247
+ | No log | 8.7111 | 392 | 1.0502 | 0.3806 | 1.0502 | 1.0248 |
248
+ | No log | 8.7556 | 394 | 0.9706 | 0.3372 | 0.9706 | 0.9852 |
249
+ | No log | 8.8 | 396 | 0.9437 | 0.2986 | 0.9437 | 0.9714 |
250
+ | No log | 8.8444 | 398 | 0.9400 | 0.2671 | 0.9400 | 0.9695 |
251
+ | No log | 8.8889 | 400 | 0.9645 | 0.2986 | 0.9645 | 0.9821 |
252
+ | No log | 8.9333 | 402 | 1.0105 | 0.3687 | 1.0105 | 1.0052 |
253
+ | No log | 8.9778 | 404 | 0.9922 | 0.3687 | 0.9922 | 0.9961 |
254
+ | No log | 9.0222 | 406 | 0.9412 | 0.3318 | 0.9412 | 0.9701 |
255
+ | No log | 9.0667 | 408 | 0.9005 | 0.4405 | 0.9005 | 0.9490 |
256
+ | No log | 9.1111 | 410 | 0.8920 | 0.4286 | 0.8920 | 0.9445 |
257
+ | No log | 9.1556 | 412 | 0.8882 | 0.4630 | 0.8882 | 0.9425 |
258
+ | No log | 9.2 | 414 | 0.8793 | 0.4743 | 0.8793 | 0.9377 |
259
+ | No log | 9.2444 | 416 | 0.9000 | 0.3861 | 0.9000 | 0.9487 |
260
+ | No log | 9.2889 | 418 | 0.8818 | 0.4203 | 0.8818 | 0.9391 |
261
+ | No log | 9.3333 | 420 | 0.8578 | 0.3706 | 0.8578 | 0.9262 |
262
+ | No log | 9.3778 | 422 | 0.8564 | 0.3424 | 0.8564 | 0.9254 |
263
+ | No log | 9.4222 | 424 | 0.8388 | 0.3382 | 0.8388 | 0.9159 |
264
+ | No log | 9.4667 | 426 | 0.8537 | 0.3348 | 0.8537 | 0.9240 |
265
+ | No log | 9.5111 | 428 | 0.8590 | 0.3348 | 0.8590 | 0.9268 |
266
+ | No log | 9.5556 | 430 | 0.8403 | 0.4199 | 0.8403 | 0.9167 |
267
+ | No log | 9.6 | 432 | 0.8374 | 0.4887 | 0.8374 | 0.9151 |
268
+ | No log | 9.6444 | 434 | 0.8651 | 0.4973 | 0.8651 | 0.9301 |
269
+ | No log | 9.6889 | 436 | 0.9439 | 0.3989 | 0.9439 | 0.9715 |
270
+ | No log | 9.7333 | 438 | 1.0425 | 0.3445 | 1.0425 | 1.0211 |
271
+ | No log | 9.7778 | 440 | 1.0405 | 0.3445 | 1.0405 | 1.0200 |
272
+ | No log | 9.8222 | 442 | 0.9445 | 0.4203 | 0.9445 | 0.9718 |
273
+ | No log | 9.8667 | 444 | 0.8500 | 0.3799 | 0.8500 | 0.9219 |
274
+ | No log | 9.9111 | 446 | 0.8346 | 0.4110 | 0.8346 | 0.9136 |
275
+ | No log | 9.9556 | 448 | 0.8389 | 0.4090 | 0.8389 | 0.9159 |
276
+ | No log | 10.0 | 450 | 0.8462 | 0.4067 | 0.8462 | 0.9199 |
277
+ | No log | 10.0444 | 452 | 0.9203 | 0.3802 | 0.9203 | 0.9593 |
278
+ | No log | 10.0889 | 454 | 1.0122 | 0.4085 | 1.0122 | 1.0061 |
279
+ | No log | 10.1333 | 456 | 1.0722 | 0.3414 | 1.0722 | 1.0355 |
280
+ | No log | 10.1778 | 458 | 1.1029 | 0.3956 | 1.1029 | 1.0502 |
281
+ | No log | 10.2222 | 460 | 1.0431 | 0.3956 | 1.0431 | 1.0213 |
282
+ | No log | 10.2667 | 462 | 0.9702 | 0.4455 | 0.9702 | 0.9850 |
283
+ | No log | 10.3111 | 464 | 0.9373 | 0.3921 | 0.9373 | 0.9681 |
284
+ | No log | 10.3556 | 466 | 0.9046 | 0.3902 | 0.9046 | 0.9511 |
285
+ | No log | 10.4 | 468 | 0.8810 | 0.4067 | 0.8810 | 0.9386 |
286
+ | No log | 10.4444 | 470 | 0.8773 | 0.3902 | 0.8773 | 0.9367 |
287
+ | No log | 10.4889 | 472 | 0.9047 | 0.3339 | 0.9047 | 0.9512 |
288
+ | No log | 10.5333 | 474 | 0.9270 | 0.2594 | 0.9270 | 0.9628 |
289
+ | No log | 10.5778 | 476 | 0.9194 | 0.2594 | 0.9194 | 0.9588 |
290
+ | No log | 10.6222 | 478 | 0.8932 | 0.2594 | 0.8932 | 0.9451 |
291
+ | No log | 10.6667 | 480 | 0.8593 | 0.3175 | 0.8593 | 0.9270 |
292
+ | No log | 10.7111 | 482 | 0.8429 | 0.3631 | 0.8429 | 0.9181 |
293
+ | No log | 10.7556 | 484 | 0.8393 | 0.4209 | 0.8393 | 0.9161 |
294
+ | No log | 10.8 | 486 | 0.8197 | 0.4336 | 0.8197 | 0.9054 |
295
+ | No log | 10.8444 | 488 | 0.8052 | 0.4516 | 0.8052 | 0.8973 |
296
+ | No log | 10.8889 | 490 | 0.8126 | 0.4373 | 0.8126 | 0.9015 |
297
+ | No log | 10.9333 | 492 | 0.8165 | 0.4355 | 0.8165 | 0.9036 |
298
+ | No log | 10.9778 | 494 | 0.8236 | 0.4067 | 0.8236 | 0.9075 |
299
+ | No log | 11.0222 | 496 | 0.8398 | 0.3777 | 0.8398 | 0.9164 |
300
+ | No log | 11.0667 | 498 | 0.8765 | 0.3515 | 0.8765 | 0.9362 |
301
+ | 0.2594 | 11.1111 | 500 | 0.9036 | 0.3687 | 0.9036 | 0.9506 |
302
+ | 0.2594 | 11.1556 | 502 | 0.8791 | 0.3958 | 0.8791 | 0.9376 |
303
+ | 0.2594 | 11.2 | 504 | 0.8410 | 0.4345 | 0.8410 | 0.9171 |
304
+ | 0.2594 | 11.2444 | 506 | 0.8272 | 0.4625 | 0.8272 | 0.9095 |
305
+ | 0.2594 | 11.2889 | 508 | 0.8235 | 0.4764 | 0.8235 | 0.9075 |
306
+ | 0.2594 | 11.3333 | 510 | 0.8269 | 0.4995 | 0.8269 | 0.9093 |
307
+ | 0.2594 | 11.3778 | 512 | 0.8396 | 0.5463 | 0.8396 | 0.9163 |
308
+ | 0.2594 | 11.4222 | 514 | 0.8474 | 0.4712 | 0.8474 | 0.9205 |
309
+ | 0.2594 | 11.4667 | 516 | 0.8864 | 0.3939 | 0.8864 | 0.9415 |
310
+ | 0.2594 | 11.5111 | 518 | 0.9475 | 0.3383 | 0.9475 | 0.9734 |
311
+ | 0.2594 | 11.5556 | 520 | 0.9408 | 0.2721 | 0.9408 | 0.9699 |
312
+ | 0.2594 | 11.6 | 522 | 0.8849 | 0.2746 | 0.8849 | 0.9407 |
313
+ | 0.2594 | 11.6444 | 524 | 0.8751 | 0.3310 | 0.8751 | 0.9355 |
314
+ | 0.2594 | 11.6889 | 526 | 0.9626 | 0.3171 | 0.9626 | 0.9811 |
315
+
316
+
317
+ ### Framework versions
318
+
319
+ - Transformers 4.44.2
320
+ - Pytorch 2.4.0+cu118
321
+ - Datasets 2.21.0
322
+ - 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:e36db45dffe199bdc839b240323e063b1be08b38b95adba22edefca32ea7bdd0
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c290afa49c63063e2d4d31cd4a592c62a16241b5d4f481f944e6be4f4e89efc
3
+ size 5304