Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
MayBashendy commited on
Commit
6f51ceb
·
verified ·
1 Parent(s): 32b93f3

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +324 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,324 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k11_task1_organization
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k11_task1_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: 2.0081
19
+ - Qwk: 0.2590
20
+ - Mse: 2.0081
21
+ - Rmse: 1.4171
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 | 0.0417 | 2 | 6.8782 | 0.0111 | 6.8782 | 2.6226 |
53
+ | No log | 0.0833 | 4 | 4.2683 | 0.0779 | 4.2683 | 2.0660 |
54
+ | No log | 0.125 | 6 | 3.1666 | -0.0111 | 3.1666 | 1.7795 |
55
+ | No log | 0.1667 | 8 | 2.5527 | 0.1304 | 2.5527 | 1.5977 |
56
+ | No log | 0.2083 | 10 | 1.8714 | 0.1695 | 1.8714 | 1.3680 |
57
+ | No log | 0.25 | 12 | 1.8445 | 0.2037 | 1.8445 | 1.3581 |
58
+ | No log | 0.2917 | 14 | 1.9861 | 0.2521 | 1.9861 | 1.4093 |
59
+ | No log | 0.3333 | 16 | 2.2188 | 0.1286 | 2.2188 | 1.4895 |
60
+ | No log | 0.375 | 18 | 1.9550 | 0.2833 | 1.9550 | 1.3982 |
61
+ | No log | 0.4167 | 20 | 1.8027 | 0.1296 | 1.8027 | 1.3426 |
62
+ | No log | 0.4583 | 22 | 1.7955 | 0.1905 | 1.7955 | 1.3400 |
63
+ | No log | 0.5 | 24 | 1.7049 | 0.1905 | 1.7049 | 1.3057 |
64
+ | No log | 0.5417 | 26 | 1.7401 | 0.1308 | 1.7401 | 1.3191 |
65
+ | No log | 0.5833 | 28 | 1.9391 | 0.1217 | 1.9391 | 1.3925 |
66
+ | No log | 0.625 | 30 | 1.9515 | 0.1695 | 1.9515 | 1.3970 |
67
+ | No log | 0.6667 | 32 | 2.0803 | 0.1774 | 2.0803 | 1.4423 |
68
+ | No log | 0.7083 | 34 | 1.8150 | 0.25 | 1.8150 | 1.3472 |
69
+ | No log | 0.75 | 36 | 1.8070 | 0.2459 | 1.8070 | 1.3442 |
70
+ | No log | 0.7917 | 38 | 1.5943 | 0.2712 | 1.5943 | 1.2627 |
71
+ | No log | 0.8333 | 40 | 1.5487 | 0.2712 | 1.5487 | 1.2445 |
72
+ | No log | 0.875 | 42 | 1.6893 | 0.3415 | 1.6893 | 1.2997 |
73
+ | No log | 0.9167 | 44 | 1.4699 | 0.3390 | 1.4699 | 1.2124 |
74
+ | No log | 0.9583 | 46 | 1.3397 | 0.2982 | 1.3397 | 1.1574 |
75
+ | No log | 1.0 | 48 | 1.2942 | 0.3158 | 1.2942 | 1.1376 |
76
+ | No log | 1.0417 | 50 | 1.3401 | 0.3761 | 1.3401 | 1.1576 |
77
+ | No log | 1.0833 | 52 | 1.4260 | 0.3529 | 1.4260 | 1.1941 |
78
+ | No log | 1.125 | 54 | 1.3928 | 0.3667 | 1.3928 | 1.1802 |
79
+ | No log | 1.1667 | 56 | 1.2095 | 0.4068 | 1.2095 | 1.0998 |
80
+ | No log | 1.2083 | 58 | 1.1794 | 0.5528 | 1.1794 | 1.0860 |
81
+ | No log | 1.25 | 60 | 1.4204 | 0.4762 | 1.4204 | 1.1918 |
82
+ | No log | 1.2917 | 62 | 1.3777 | 0.5 | 1.3777 | 1.1737 |
83
+ | No log | 1.3333 | 64 | 1.2612 | 0.5455 | 1.2612 | 1.1230 |
84
+ | No log | 1.375 | 66 | 1.4437 | 0.4060 | 1.4437 | 1.2016 |
85
+ | No log | 1.4167 | 68 | 1.4453 | 0.4328 | 1.4453 | 1.2022 |
86
+ | No log | 1.4583 | 70 | 1.2427 | 0.5692 | 1.2427 | 1.1148 |
87
+ | No log | 1.5 | 72 | 1.2194 | 0.4921 | 1.2194 | 1.1043 |
88
+ | No log | 1.5417 | 74 | 1.2507 | 0.4516 | 1.2507 | 1.1184 |
89
+ | No log | 1.5833 | 76 | 1.5001 | 0.4031 | 1.5001 | 1.2248 |
90
+ | No log | 1.625 | 78 | 1.6823 | 0.3607 | 1.6823 | 1.2970 |
91
+ | No log | 1.6667 | 80 | 1.6261 | 0.3577 | 1.6261 | 1.2752 |
92
+ | No log | 1.7083 | 82 | 1.3836 | 0.4496 | 1.3836 | 1.1763 |
93
+ | No log | 1.75 | 84 | 1.1525 | 0.5397 | 1.1525 | 1.0735 |
94
+ | No log | 1.7917 | 86 | 1.1504 | 0.5354 | 1.1504 | 1.0726 |
95
+ | No log | 1.8333 | 88 | 1.3371 | 0.4615 | 1.3371 | 1.1563 |
96
+ | No log | 1.875 | 90 | 1.5797 | 0.3704 | 1.5797 | 1.2569 |
97
+ | No log | 1.9167 | 92 | 2.0375 | 0.2411 | 2.0375 | 1.4274 |
98
+ | No log | 1.9583 | 94 | 1.8068 | 0.3333 | 1.8068 | 1.3442 |
99
+ | No log | 2.0 | 96 | 1.4492 | 0.4627 | 1.4492 | 1.2038 |
100
+ | No log | 2.0417 | 98 | 1.3550 | 0.5333 | 1.3550 | 1.1640 |
101
+ | No log | 2.0833 | 100 | 1.5285 | 0.4030 | 1.5285 | 1.2363 |
102
+ | No log | 2.125 | 102 | 2.2039 | 0.0758 | 2.2039 | 1.4846 |
103
+ | No log | 2.1667 | 104 | 2.2578 | 0.0458 | 2.2578 | 1.5026 |
104
+ | No log | 2.2083 | 106 | 1.7935 | 0.2222 | 1.7935 | 1.3392 |
105
+ | No log | 2.25 | 108 | 1.4010 | 0.4923 | 1.4010 | 1.1836 |
106
+ | No log | 2.2917 | 110 | 1.2913 | 0.4567 | 1.2913 | 1.1364 |
107
+ | No log | 2.3333 | 112 | 1.3219 | 0.4286 | 1.3219 | 1.1497 |
108
+ | No log | 2.375 | 114 | 1.5644 | 0.4308 | 1.5644 | 1.2508 |
109
+ | No log | 2.4167 | 116 | 2.0632 | 0.1286 | 2.0632 | 1.4364 |
110
+ | No log | 2.4583 | 118 | 2.0462 | 0.1594 | 2.0462 | 1.4304 |
111
+ | No log | 2.5 | 120 | 1.7074 | 0.3281 | 1.7074 | 1.3067 |
112
+ | No log | 2.5417 | 122 | 1.3788 | 0.4098 | 1.3788 | 1.1742 |
113
+ | No log | 2.5833 | 124 | 1.3360 | 0.4390 | 1.3360 | 1.1559 |
114
+ | No log | 2.625 | 126 | 1.4122 | 0.4516 | 1.4122 | 1.1883 |
115
+ | No log | 2.6667 | 128 | 1.7159 | 0.3411 | 1.7159 | 1.3099 |
116
+ | No log | 2.7083 | 130 | 2.2597 | 0.0296 | 2.2597 | 1.5032 |
117
+ | No log | 2.75 | 132 | 2.5980 | 0.0 | 2.5980 | 1.6118 |
118
+ | No log | 2.7917 | 134 | 2.5776 | 0.0423 | 2.5776 | 1.6055 |
119
+ | No log | 2.8333 | 136 | 2.2484 | 0.1781 | 2.2484 | 1.4995 |
120
+ | No log | 2.875 | 138 | 2.0508 | 0.2041 | 2.0508 | 1.4321 |
121
+ | No log | 2.9167 | 140 | 1.7930 | 0.2797 | 1.7930 | 1.3390 |
122
+ | No log | 2.9583 | 142 | 1.8884 | 0.3056 | 1.8884 | 1.3742 |
123
+ | No log | 3.0 | 144 | 1.8913 | 0.2603 | 1.8913 | 1.3753 |
124
+ | No log | 3.0417 | 146 | 1.8622 | 0.2345 | 1.8622 | 1.3646 |
125
+ | No log | 3.0833 | 148 | 2.1176 | 0.1389 | 2.1176 | 1.4552 |
126
+ | No log | 3.125 | 150 | 2.2401 | 0.1389 | 2.2401 | 1.4967 |
127
+ | No log | 3.1667 | 152 | 2.2036 | 0.1389 | 2.2036 | 1.4845 |
128
+ | No log | 3.2083 | 154 | 1.9841 | 0.2754 | 1.9841 | 1.4086 |
129
+ | No log | 3.25 | 156 | 1.9078 | 0.2754 | 1.9078 | 1.3812 |
130
+ | No log | 3.2917 | 158 | 1.5898 | 0.3824 | 1.5898 | 1.2609 |
131
+ | No log | 3.3333 | 160 | 1.3972 | 0.5039 | 1.3972 | 1.1820 |
132
+ | No log | 3.375 | 162 | 1.3665 | 0.4921 | 1.3665 | 1.1690 |
133
+ | No log | 3.4167 | 164 | 1.5211 | 0.4478 | 1.5211 | 1.2333 |
134
+ | No log | 3.4583 | 166 | 1.7786 | 0.3623 | 1.7786 | 1.3337 |
135
+ | No log | 3.5 | 168 | 2.1032 | 0.2254 | 2.1032 | 1.4502 |
136
+ | No log | 3.5417 | 170 | 1.9656 | 0.2254 | 1.9656 | 1.4020 |
137
+ | No log | 3.5833 | 172 | 1.9148 | 0.2857 | 1.9148 | 1.3838 |
138
+ | No log | 3.625 | 174 | 1.7690 | 0.3188 | 1.7690 | 1.3300 |
139
+ | No log | 3.6667 | 176 | 1.5341 | 0.3824 | 1.5341 | 1.2386 |
140
+ | No log | 3.7083 | 178 | 1.4392 | 0.4148 | 1.4392 | 1.1997 |
141
+ | No log | 3.75 | 180 | 1.7060 | 0.3333 | 1.7060 | 1.3061 |
142
+ | No log | 3.7917 | 182 | 2.1066 | 0.2446 | 2.1066 | 1.4514 |
143
+ | No log | 3.8333 | 184 | 2.2605 | 0.1528 | 2.2605 | 1.5035 |
144
+ | No log | 3.875 | 186 | 2.0537 | 0.2920 | 2.0537 | 1.4331 |
145
+ | No log | 3.9167 | 188 | 1.6346 | 0.3259 | 1.6346 | 1.2785 |
146
+ | No log | 3.9583 | 190 | 1.5558 | 0.3433 | 1.5558 | 1.2473 |
147
+ | No log | 4.0 | 192 | 1.7002 | 0.3504 | 1.7002 | 1.3039 |
148
+ | No log | 4.0417 | 194 | 2.0149 | 0.2754 | 2.0149 | 1.4195 |
149
+ | No log | 4.0833 | 196 | 2.0663 | 0.2286 | 2.0663 | 1.4375 |
150
+ | No log | 4.125 | 198 | 2.0003 | 0.2446 | 2.0003 | 1.4143 |
151
+ | No log | 4.1667 | 200 | 1.7255 | 0.3235 | 1.7255 | 1.3136 |
152
+ | No log | 4.2083 | 202 | 1.6371 | 0.3308 | 1.6371 | 1.2795 |
153
+ | No log | 4.25 | 204 | 1.6631 | 0.3704 | 1.6631 | 1.2896 |
154
+ | No log | 4.2917 | 206 | 1.7419 | 0.3676 | 1.7419 | 1.3198 |
155
+ | No log | 4.3333 | 208 | 2.0288 | 0.2254 | 2.0288 | 1.4244 |
156
+ | No log | 4.375 | 210 | 2.3029 | 0.1389 | 2.3029 | 1.5175 |
157
+ | No log | 4.4167 | 212 | 2.3431 | 0.0714 | 2.3431 | 1.5307 |
158
+ | No log | 4.4583 | 214 | 2.2253 | 0.1714 | 2.2253 | 1.4918 |
159
+ | No log | 4.5 | 216 | 2.0191 | 0.2517 | 2.0191 | 1.4209 |
160
+ | No log | 4.5417 | 218 | 1.9956 | 0.2394 | 1.9956 | 1.4127 |
161
+ | No log | 4.5833 | 220 | 2.1416 | 0.2128 | 2.1416 | 1.4634 |
162
+ | No log | 4.625 | 222 | 2.0910 | 0.1857 | 2.0910 | 1.4460 |
163
+ | No log | 4.6667 | 224 | 1.8591 | 0.25 | 1.8591 | 1.3635 |
164
+ | No log | 4.7083 | 226 | 1.6871 | 0.3088 | 1.6871 | 1.2989 |
165
+ | No log | 4.75 | 228 | 1.7013 | 0.2794 | 1.7013 | 1.3044 |
166
+ | No log | 4.7917 | 230 | 1.9177 | 0.2429 | 1.9177 | 1.3848 |
167
+ | No log | 4.8333 | 232 | 1.9616 | 0.2429 | 1.9616 | 1.4006 |
168
+ | No log | 4.875 | 234 | 1.8570 | 0.2446 | 1.8570 | 1.3627 |
169
+ | No log | 4.9167 | 236 | 1.7455 | 0.2754 | 1.7455 | 1.3212 |
170
+ | No log | 4.9583 | 238 | 1.6539 | 0.3358 | 1.6539 | 1.2860 |
171
+ | No log | 5.0 | 240 | 1.8352 | 0.2553 | 1.8352 | 1.3547 |
172
+ | No log | 5.0417 | 242 | 2.3263 | 0.1389 | 2.3263 | 1.5252 |
173
+ | No log | 5.0833 | 244 | 2.4905 | 0.1241 | 2.4905 | 1.5781 |
174
+ | No log | 5.125 | 246 | 2.3739 | 0.1119 | 2.3739 | 1.5407 |
175
+ | No log | 5.1667 | 248 | 2.0125 | 0.2411 | 2.0125 | 1.4186 |
176
+ | No log | 5.2083 | 250 | 1.6631 | 0.3788 | 1.6631 | 1.2896 |
177
+ | No log | 5.25 | 252 | 1.6270 | 0.3788 | 1.6270 | 1.2755 |
178
+ | No log | 5.2917 | 254 | 1.7977 | 0.3582 | 1.7977 | 1.3408 |
179
+ | No log | 5.3333 | 256 | 1.9595 | 0.2647 | 1.9595 | 1.3998 |
180
+ | No log | 5.375 | 258 | 1.8997 | 0.2815 | 1.8997 | 1.3783 |
181
+ | No log | 5.4167 | 260 | 1.7375 | 0.3796 | 1.7375 | 1.3181 |
182
+ | No log | 5.4583 | 262 | 1.6171 | 0.4179 | 1.6171 | 1.2717 |
183
+ | No log | 5.5 | 264 | 1.5984 | 0.4179 | 1.5984 | 1.2643 |
184
+ | No log | 5.5417 | 266 | 1.7553 | 0.3676 | 1.7553 | 1.3249 |
185
+ | No log | 5.5833 | 268 | 1.8419 | 0.2446 | 1.8419 | 1.3572 |
186
+ | No log | 5.625 | 270 | 1.8366 | 0.2464 | 1.8366 | 1.3552 |
187
+ | No log | 5.6667 | 272 | 1.6818 | 0.3852 | 1.6818 | 1.2969 |
188
+ | No log | 5.7083 | 274 | 1.6596 | 0.3852 | 1.6596 | 1.2883 |
189
+ | No log | 5.75 | 276 | 1.8432 | 0.2302 | 1.8432 | 1.3577 |
190
+ | No log | 5.7917 | 278 | 2.1208 | 0.1690 | 2.1208 | 1.4563 |
191
+ | No log | 5.8333 | 280 | 2.0931 | 0.1986 | 2.0931 | 1.4468 |
192
+ | No log | 5.875 | 282 | 1.7984 | 0.2628 | 1.7984 | 1.3411 |
193
+ | No log | 5.9167 | 284 | 1.6772 | 0.3609 | 1.6772 | 1.2951 |
194
+ | No log | 5.9583 | 286 | 1.7118 | 0.3284 | 1.7118 | 1.3083 |
195
+ | No log | 6.0 | 288 | 1.7653 | 0.2920 | 1.7653 | 1.3287 |
196
+ | No log | 6.0417 | 290 | 1.8702 | 0.2676 | 1.8702 | 1.3675 |
197
+ | No log | 6.0833 | 292 | 1.8110 | 0.2676 | 1.8110 | 1.3457 |
198
+ | No log | 6.125 | 294 | 1.6856 | 0.3407 | 1.6856 | 1.2983 |
199
+ | No log | 6.1667 | 296 | 1.6965 | 0.3407 | 1.6965 | 1.3025 |
200
+ | No log | 6.2083 | 298 | 1.8711 | 0.2553 | 1.8711 | 1.3679 |
201
+ | No log | 6.25 | 300 | 2.0730 | 0.2553 | 2.0730 | 1.4398 |
202
+ | No log | 6.2917 | 302 | 2.1792 | 0.2553 | 2.1792 | 1.4762 |
203
+ | No log | 6.3333 | 304 | 2.1241 | 0.2553 | 2.1241 | 1.4574 |
204
+ | No log | 6.375 | 306 | 1.8648 | 0.2676 | 1.8648 | 1.3656 |
205
+ | No log | 6.4167 | 308 | 1.6589 | 0.3043 | 1.6589 | 1.2880 |
206
+ | No log | 6.4583 | 310 | 1.6378 | 0.3066 | 1.6378 | 1.2798 |
207
+ | No log | 6.5 | 312 | 1.8470 | 0.2553 | 1.8470 | 1.3590 |
208
+ | No log | 6.5417 | 314 | 1.8116 | 0.2714 | 1.8116 | 1.3459 |
209
+ | No log | 6.5833 | 316 | 1.6563 | 0.2963 | 1.6563 | 1.2870 |
210
+ | No log | 6.625 | 318 | 1.4953 | 0.4427 | 1.4953 | 1.2228 |
211
+ | No log | 6.6667 | 320 | 1.5305 | 0.4511 | 1.5305 | 1.2371 |
212
+ | No log | 6.7083 | 322 | 1.5497 | 0.4 | 1.5497 | 1.2449 |
213
+ | No log | 6.75 | 324 | 1.7525 | 0.3022 | 1.7525 | 1.3238 |
214
+ | No log | 6.7917 | 326 | 1.9813 | 0.2553 | 1.9813 | 1.4076 |
215
+ | No log | 6.8333 | 328 | 1.9181 | 0.2553 | 1.9181 | 1.3850 |
216
+ | No log | 6.875 | 330 | 1.6309 | 0.3768 | 1.6309 | 1.2771 |
217
+ | No log | 6.9167 | 332 | 1.5872 | 0.4 | 1.5872 | 1.2599 |
218
+ | No log | 6.9583 | 334 | 1.6205 | 0.3704 | 1.6205 | 1.2730 |
219
+ | No log | 7.0 | 336 | 1.8020 | 0.3504 | 1.8020 | 1.3424 |
220
+ | No log | 7.0417 | 338 | 2.0009 | 0.2286 | 2.0009 | 1.4145 |
221
+ | No log | 7.0833 | 340 | 2.2687 | 0.1268 | 2.2687 | 1.5062 |
222
+ | No log | 7.125 | 342 | 2.3143 | 0.0704 | 2.3143 | 1.5213 |
223
+ | No log | 7.1667 | 344 | 2.1864 | 0.1986 | 2.1864 | 1.4786 |
224
+ | No log | 7.2083 | 346 | 1.9356 | 0.2676 | 1.9356 | 1.3912 |
225
+ | No log | 7.25 | 348 | 1.7056 | 0.3333 | 1.7056 | 1.3060 |
226
+ | No log | 7.2917 | 350 | 1.5756 | 0.3913 | 1.5756 | 1.2552 |
227
+ | No log | 7.3333 | 352 | 1.6071 | 0.3571 | 1.6071 | 1.2677 |
228
+ | No log | 7.375 | 354 | 1.8198 | 0.3121 | 1.8198 | 1.3490 |
229
+ | No log | 7.4167 | 356 | 2.1589 | 0.1986 | 2.1589 | 1.4693 |
230
+ | No log | 7.4583 | 358 | 2.4779 | 0.1528 | 2.4779 | 1.5741 |
231
+ | No log | 7.5 | 360 | 2.5344 | 0.1528 | 2.5344 | 1.5920 |
232
+ | No log | 7.5417 | 362 | 2.3021 | 0.1986 | 2.3021 | 1.5173 |
233
+ | No log | 7.5833 | 364 | 1.8516 | 0.2734 | 1.8516 | 1.3607 |
234
+ | No log | 7.625 | 366 | 1.5204 | 0.3910 | 1.5204 | 1.2330 |
235
+ | No log | 7.6667 | 368 | 1.4220 | 0.3939 | 1.4220 | 1.1925 |
236
+ | No log | 7.7083 | 370 | 1.4939 | 0.3881 | 1.4939 | 1.2222 |
237
+ | No log | 7.75 | 372 | 1.7198 | 0.3333 | 1.7198 | 1.3114 |
238
+ | No log | 7.7917 | 374 | 2.0420 | 0.2857 | 2.0420 | 1.4290 |
239
+ | No log | 7.8333 | 376 | 2.2099 | 0.1986 | 2.2099 | 1.4866 |
240
+ | No log | 7.875 | 378 | 2.1114 | 0.2286 | 2.1114 | 1.4531 |
241
+ | No log | 7.9167 | 380 | 1.8587 | 0.3235 | 1.8587 | 1.3633 |
242
+ | No log | 7.9583 | 382 | 1.5607 | 0.3609 | 1.5607 | 1.2493 |
243
+ | No log | 8.0 | 384 | 1.5160 | 0.3664 | 1.5160 | 1.2313 |
244
+ | No log | 8.0417 | 386 | 1.6044 | 0.3485 | 1.6044 | 1.2667 |
245
+ | No log | 8.0833 | 388 | 1.7547 | 0.3066 | 1.7547 | 1.3247 |
246
+ | No log | 8.125 | 390 | 1.9537 | 0.2286 | 1.9537 | 1.3978 |
247
+ | No log | 8.1667 | 392 | 1.9817 | 0.2286 | 1.9817 | 1.4077 |
248
+ | No log | 8.2083 | 394 | 1.9253 | 0.2158 | 1.9253 | 1.3875 |
249
+ | No log | 8.25 | 396 | 1.8662 | 0.2286 | 1.8662 | 1.3661 |
250
+ | No log | 8.2917 | 398 | 1.7160 | 0.3358 | 1.7160 | 1.3100 |
251
+ | No log | 8.3333 | 400 | 1.6668 | 0.3650 | 1.6668 | 1.2911 |
252
+ | No log | 8.375 | 402 | 1.7074 | 0.3571 | 1.7074 | 1.3067 |
253
+ | No log | 8.4167 | 404 | 1.8220 | 0.3143 | 1.8220 | 1.3498 |
254
+ | No log | 8.4583 | 406 | 1.9903 | 0.2286 | 1.9903 | 1.4108 |
255
+ | No log | 8.5 | 408 | 1.9674 | 0.2286 | 1.9674 | 1.4026 |
256
+ | No log | 8.5417 | 410 | 1.8185 | 0.2319 | 1.8185 | 1.3485 |
257
+ | No log | 8.5833 | 412 | 1.6627 | 0.3259 | 1.6627 | 1.2895 |
258
+ | No log | 8.625 | 414 | 1.6336 | 0.3529 | 1.6336 | 1.2781 |
259
+ | No log | 8.6667 | 416 | 1.7730 | 0.3022 | 1.7730 | 1.3315 |
260
+ | No log | 8.7083 | 418 | 1.8421 | 0.2857 | 1.8421 | 1.3572 |
261
+ | No log | 8.75 | 420 | 1.9121 | 0.2286 | 1.9121 | 1.3828 |
262
+ | No log | 8.7917 | 422 | 1.8428 | 0.2286 | 1.8428 | 1.3575 |
263
+ | No log | 8.8333 | 424 | 1.6690 | 0.3134 | 1.6690 | 1.2919 |
264
+ | No log | 8.875 | 426 | 1.6062 | 0.3582 | 1.6062 | 1.2674 |
265
+ | No log | 8.9167 | 428 | 1.6154 | 0.3556 | 1.6154 | 1.2710 |
266
+ | No log | 8.9583 | 430 | 1.5578 | 0.3556 | 1.5578 | 1.2481 |
267
+ | No log | 9.0 | 432 | 1.6153 | 0.3529 | 1.6153 | 1.2710 |
268
+ | No log | 9.0417 | 434 | 1.7101 | 0.3333 | 1.7101 | 1.3077 |
269
+ | No log | 9.0833 | 436 | 1.9060 | 0.2837 | 1.9060 | 1.3806 |
270
+ | No log | 9.125 | 438 | 1.9583 | 0.2837 | 1.9583 | 1.3994 |
271
+ | No log | 9.1667 | 440 | 1.9172 | 0.2837 | 1.9172 | 1.3846 |
272
+ | No log | 9.2083 | 442 | 1.8445 | 0.2837 | 1.8445 | 1.3581 |
273
+ | No log | 9.25 | 444 | 1.7346 | 0.3529 | 1.7346 | 1.3170 |
274
+ | No log | 9.2917 | 446 | 1.5688 | 0.3817 | 1.5688 | 1.2525 |
275
+ | No log | 9.3333 | 448 | 1.5301 | 0.3817 | 1.5301 | 1.2370 |
276
+ | No log | 9.375 | 450 | 1.6345 | 0.3881 | 1.6345 | 1.2785 |
277
+ | No log | 9.4167 | 452 | 1.8171 | 0.3165 | 1.8171 | 1.3480 |
278
+ | No log | 9.4583 | 454 | 1.8873 | 0.3000 | 1.8873 | 1.3738 |
279
+ | No log | 9.5 | 456 | 1.9228 | 0.2695 | 1.9228 | 1.3867 |
280
+ | No log | 9.5417 | 458 | 1.8426 | 0.3478 | 1.8426 | 1.3574 |
281
+ | No log | 9.5833 | 460 | 1.7265 | 0.3796 | 1.7265 | 1.3140 |
282
+ | No log | 9.625 | 462 | 1.7076 | 0.3796 | 1.7076 | 1.3068 |
283
+ | No log | 9.6667 | 464 | 1.6803 | 0.3852 | 1.6803 | 1.2963 |
284
+ | No log | 9.7083 | 466 | 1.6995 | 0.3582 | 1.6995 | 1.3036 |
285
+ | No log | 9.75 | 468 | 1.6593 | 0.3731 | 1.6593 | 1.2881 |
286
+ | No log | 9.7917 | 470 | 1.6469 | 0.3971 | 1.6469 | 1.2833 |
287
+ | No log | 9.8333 | 472 | 1.6478 | 0.3971 | 1.6478 | 1.2837 |
288
+ | No log | 9.875 | 474 | 1.8020 | 0.3504 | 1.8020 | 1.3424 |
289
+ | No log | 9.9167 | 476 | 1.9683 | 0.3022 | 1.9683 | 1.4030 |
290
+ | No log | 9.9583 | 478 | 2.0652 | 0.2553 | 2.0652 | 1.4371 |
291
+ | No log | 10.0 | 480 | 1.9597 | 0.2754 | 1.9597 | 1.3999 |
292
+ | No log | 10.0417 | 482 | 1.7339 | 0.3358 | 1.7339 | 1.3168 |
293
+ | No log | 10.0833 | 484 | 1.5442 | 0.4328 | 1.5442 | 1.2426 |
294
+ | No log | 10.125 | 486 | 1.5042 | 0.4697 | 1.5042 | 1.2264 |
295
+ | No log | 10.1667 | 488 | 1.5468 | 0.4328 | 1.5468 | 1.2437 |
296
+ | No log | 10.2083 | 490 | 1.6718 | 0.3453 | 1.6718 | 1.2930 |
297
+ | No log | 10.25 | 492 | 1.8001 | 0.3143 | 1.8001 | 1.3417 |
298
+ | No log | 10.2917 | 494 | 1.8559 | 0.3143 | 1.8559 | 1.3623 |
299
+ | No log | 10.3333 | 496 | 1.8125 | 0.3143 | 1.8125 | 1.3463 |
300
+ | No log | 10.375 | 498 | 1.6890 | 0.3478 | 1.6890 | 1.2996 |
301
+ | 0.4146 | 10.4167 | 500 | 1.4528 | 0.3846 | 1.4528 | 1.2053 |
302
+ | 0.4146 | 10.4583 | 502 | 1.3753 | 0.4961 | 1.3753 | 1.1727 |
303
+ | 0.4146 | 10.5 | 504 | 1.4398 | 0.4296 | 1.4398 | 1.1999 |
304
+ | 0.4146 | 10.5417 | 506 | 1.6778 | 0.3741 | 1.6778 | 1.2953 |
305
+ | 0.4146 | 10.5833 | 508 | 1.7527 | 0.3358 | 1.7527 | 1.3239 |
306
+ | 0.4146 | 10.625 | 510 | 1.6043 | 0.3478 | 1.6043 | 1.2666 |
307
+ | 0.4146 | 10.6667 | 512 | 1.3951 | 0.4060 | 1.3951 | 1.1811 |
308
+ | 0.4146 | 10.7083 | 514 | 1.2983 | 0.4640 | 1.2983 | 1.1394 |
309
+ | 0.4146 | 10.75 | 516 | 1.3396 | 0.4444 | 1.3396 | 1.1574 |
310
+ | 0.4146 | 10.7917 | 518 | 1.3504 | 0.4688 | 1.3504 | 1.1621 |
311
+ | 0.4146 | 10.8333 | 520 | 1.4217 | 0.4060 | 1.4217 | 1.1924 |
312
+ | 0.4146 | 10.875 | 522 | 1.6307 | 0.3358 | 1.6307 | 1.2770 |
313
+ | 0.4146 | 10.9167 | 524 | 1.8116 | 0.3188 | 1.8116 | 1.3460 |
314
+ | 0.4146 | 10.9583 | 526 | 1.9095 | 0.3188 | 1.9095 | 1.3818 |
315
+ | 0.4146 | 11.0 | 528 | 1.9715 | 0.2754 | 1.9715 | 1.4041 |
316
+ | 0.4146 | 11.0417 | 530 | 2.0081 | 0.2590 | 2.0081 | 1.4171 |
317
+
318
+
319
+ ### Framework versions
320
+
321
+ - Transformers 4.44.2
322
+ - Pytorch 2.4.0+cu118
323
+ - Datasets 2.21.0
324
+ - 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:aeb18d992ab22df5dcc6f26e9ec719badd24b25601cc2db2c32e18146990a7b2
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56d874e2224441e57a4d1396813fec2de2b24e7dce896718f21b2643755b416f
3
+ size 5304