MayBashendy commited on
Commit
0f20d96
·
verified ·
1 Parent(s): 2d271dc

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +363 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,363 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_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_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_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: 0.9608
19
+ - Qwk: 0.6377
20
+ - Mse: 0.9608
21
+ - Rmse: 0.9802
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 | 0.25 | 2 | 7.1748 | 0.0 | 7.1748 | 2.6786 |
53
+ | No log | 0.5 | 4 | 4.4712 | 0.0873 | 4.4712 | 2.1145 |
54
+ | No log | 0.75 | 6 | 2.8842 | 0.0936 | 2.8842 | 1.6983 |
55
+ | No log | 1.0 | 8 | 1.9730 | 0.2687 | 1.9730 | 1.4046 |
56
+ | No log | 1.25 | 10 | 1.5892 | 0.25 | 1.5892 | 1.2606 |
57
+ | No log | 1.5 | 12 | 1.5065 | 0.2075 | 1.5065 | 1.2274 |
58
+ | No log | 1.75 | 14 | 1.5148 | 0.2430 | 1.5148 | 1.2308 |
59
+ | No log | 2.0 | 16 | 1.5689 | 0.2321 | 1.5689 | 1.2526 |
60
+ | No log | 2.25 | 18 | 1.5599 | 0.2478 | 1.5599 | 1.2489 |
61
+ | No log | 2.5 | 20 | 1.4040 | 0.2364 | 1.4040 | 1.1849 |
62
+ | No log | 2.75 | 22 | 1.2992 | 0.3091 | 1.2992 | 1.1398 |
63
+ | No log | 3.0 | 24 | 1.2350 | 0.3571 | 1.2350 | 1.1113 |
64
+ | No log | 3.25 | 26 | 1.1131 | 0.3860 | 1.1131 | 1.0550 |
65
+ | No log | 3.5 | 28 | 1.0503 | 0.5085 | 1.0503 | 1.0248 |
66
+ | No log | 3.75 | 30 | 1.0444 | 0.5620 | 1.0444 | 1.0220 |
67
+ | No log | 4.0 | 32 | 1.2400 | 0.4286 | 1.2400 | 1.1135 |
68
+ | No log | 4.25 | 34 | 1.3920 | 0.4031 | 1.3920 | 1.1798 |
69
+ | No log | 4.5 | 36 | 1.1821 | 0.4961 | 1.1821 | 1.0872 |
70
+ | No log | 4.75 | 38 | 1.1211 | 0.5203 | 1.1211 | 1.0588 |
71
+ | No log | 5.0 | 40 | 1.0499 | 0.5920 | 1.0499 | 1.0246 |
72
+ | No log | 5.25 | 42 | 0.9591 | 0.6618 | 0.9591 | 0.9794 |
73
+ | No log | 5.5 | 44 | 1.1784 | 0.5077 | 1.1784 | 1.0855 |
74
+ | No log | 5.75 | 46 | 1.7062 | 0.2636 | 1.7062 | 1.3062 |
75
+ | No log | 6.0 | 48 | 1.8630 | 0.2656 | 1.8630 | 1.3649 |
76
+ | No log | 6.25 | 50 | 1.3003 | 0.4065 | 1.3003 | 1.1403 |
77
+ | No log | 6.5 | 52 | 1.1574 | 0.5758 | 1.1574 | 1.0758 |
78
+ | No log | 6.75 | 54 | 1.0613 | 0.5735 | 1.0613 | 1.0302 |
79
+ | No log | 7.0 | 56 | 0.9833 | 0.5755 | 0.9833 | 0.9916 |
80
+ | No log | 7.25 | 58 | 1.1129 | 0.5857 | 1.1129 | 1.0549 |
81
+ | No log | 7.5 | 60 | 1.3337 | 0.5655 | 1.3337 | 1.1549 |
82
+ | No log | 7.75 | 62 | 1.1196 | 0.6056 | 1.1196 | 1.0581 |
83
+ | No log | 8.0 | 64 | 0.9189 | 0.6620 | 0.9189 | 0.9586 |
84
+ | No log | 8.25 | 66 | 0.9889 | 0.6622 | 0.9889 | 0.9944 |
85
+ | No log | 8.5 | 68 | 0.8042 | 0.7162 | 0.8042 | 0.8968 |
86
+ | No log | 8.75 | 70 | 0.9000 | 0.7125 | 0.9000 | 0.9487 |
87
+ | No log | 9.0 | 72 | 0.8992 | 0.7125 | 0.8992 | 0.9483 |
88
+ | No log | 9.25 | 74 | 0.7866 | 0.7417 | 0.7866 | 0.8869 |
89
+ | No log | 9.5 | 76 | 0.9274 | 0.6619 | 0.9274 | 0.9630 |
90
+ | No log | 9.75 | 78 | 0.9994 | 0.6383 | 0.9993 | 0.9997 |
91
+ | No log | 10.0 | 80 | 0.8237 | 0.6763 | 0.8237 | 0.9076 |
92
+ | No log | 10.25 | 82 | 0.8741 | 0.6531 | 0.8741 | 0.9349 |
93
+ | No log | 10.5 | 84 | 0.9060 | 0.6438 | 0.9060 | 0.9518 |
94
+ | No log | 10.75 | 86 | 0.8862 | 0.6715 | 0.8862 | 0.9414 |
95
+ | No log | 11.0 | 88 | 0.9779 | 0.5714 | 0.9779 | 0.9889 |
96
+ | No log | 11.25 | 90 | 1.0093 | 0.5714 | 1.0093 | 1.0046 |
97
+ | No log | 11.5 | 92 | 0.9672 | 0.6357 | 0.9672 | 0.9834 |
98
+ | No log | 11.75 | 94 | 1.0007 | 0.5942 | 1.0007 | 1.0004 |
99
+ | No log | 12.0 | 96 | 0.9799 | 0.6383 | 0.9799 | 0.9899 |
100
+ | No log | 12.25 | 98 | 0.9951 | 0.6389 | 0.9951 | 0.9975 |
101
+ | No log | 12.5 | 100 | 0.9563 | 0.6575 | 0.9563 | 0.9779 |
102
+ | No log | 12.75 | 102 | 0.9541 | 0.6803 | 0.9541 | 0.9768 |
103
+ | No log | 13.0 | 104 | 1.0060 | 0.6369 | 1.0060 | 1.0030 |
104
+ | No log | 13.25 | 106 | 1.0020 | 0.6380 | 1.0020 | 1.0010 |
105
+ | No log | 13.5 | 108 | 0.9143 | 0.6623 | 0.9143 | 0.9562 |
106
+ | No log | 13.75 | 110 | 0.8823 | 0.6883 | 0.8823 | 0.9393 |
107
+ | No log | 14.0 | 112 | 0.9554 | 0.6528 | 0.9554 | 0.9775 |
108
+ | No log | 14.25 | 114 | 0.8501 | 0.6667 | 0.8501 | 0.9220 |
109
+ | No log | 14.5 | 116 | 0.8638 | 0.6715 | 0.8638 | 0.9294 |
110
+ | No log | 14.75 | 118 | 0.9004 | 0.6809 | 0.9004 | 0.9489 |
111
+ | No log | 15.0 | 120 | 0.8904 | 0.6944 | 0.8904 | 0.9436 |
112
+ | No log | 15.25 | 122 | 0.8643 | 0.6575 | 0.8643 | 0.9297 |
113
+ | No log | 15.5 | 124 | 0.8717 | 0.6522 | 0.8717 | 0.9337 |
114
+ | No log | 15.75 | 126 | 0.8959 | 0.6667 | 0.8959 | 0.9465 |
115
+ | No log | 16.0 | 128 | 0.8776 | 0.6620 | 0.8776 | 0.9368 |
116
+ | No log | 16.25 | 130 | 0.8468 | 0.6667 | 0.8468 | 0.9202 |
117
+ | No log | 16.5 | 132 | 0.8819 | 0.6617 | 0.8819 | 0.9391 |
118
+ | No log | 16.75 | 134 | 0.9366 | 0.6980 | 0.9366 | 0.9678 |
119
+ | No log | 17.0 | 136 | 0.8614 | 0.7114 | 0.8614 | 0.9281 |
120
+ | No log | 17.25 | 138 | 0.8468 | 0.6241 | 0.8468 | 0.9202 |
121
+ | No log | 17.5 | 140 | 0.8689 | 0.6531 | 0.8689 | 0.9321 |
122
+ | No log | 17.75 | 142 | 0.7711 | 0.7190 | 0.7711 | 0.8781 |
123
+ | No log | 18.0 | 144 | 0.7798 | 0.7205 | 0.7798 | 0.8830 |
124
+ | No log | 18.25 | 146 | 0.8911 | 0.6667 | 0.8911 | 0.9440 |
125
+ | No log | 18.5 | 148 | 0.8418 | 0.6577 | 0.8418 | 0.9175 |
126
+ | No log | 18.75 | 150 | 0.7391 | 0.7123 | 0.7391 | 0.8597 |
127
+ | No log | 19.0 | 152 | 0.7743 | 0.6968 | 0.7743 | 0.8799 |
128
+ | No log | 19.25 | 154 | 0.8366 | 0.6800 | 0.8366 | 0.9147 |
129
+ | No log | 19.5 | 156 | 0.8104 | 0.7051 | 0.8104 | 0.9002 |
130
+ | No log | 19.75 | 158 | 0.7790 | 0.7067 | 0.7790 | 0.8826 |
131
+ | No log | 20.0 | 160 | 0.8265 | 0.7162 | 0.8265 | 0.9091 |
132
+ | No log | 20.25 | 162 | 0.8457 | 0.6849 | 0.8457 | 0.9196 |
133
+ | No log | 20.5 | 164 | 0.8822 | 0.6345 | 0.8822 | 0.9392 |
134
+ | No log | 20.75 | 166 | 0.9517 | 0.6434 | 0.9517 | 0.9756 |
135
+ | No log | 21.0 | 168 | 0.9575 | 0.6143 | 0.9575 | 0.9785 |
136
+ | No log | 21.25 | 170 | 0.9391 | 0.5942 | 0.9391 | 0.9691 |
137
+ | No log | 21.5 | 172 | 0.9739 | 0.6241 | 0.9739 | 0.9869 |
138
+ | No log | 21.75 | 174 | 0.9721 | 0.6225 | 0.9721 | 0.9860 |
139
+ | No log | 22.0 | 176 | 0.9438 | 0.6538 | 0.9438 | 0.9715 |
140
+ | No log | 22.25 | 178 | 0.9046 | 0.6711 | 0.9046 | 0.9511 |
141
+ | No log | 22.5 | 180 | 0.8829 | 0.6800 | 0.8829 | 0.9396 |
142
+ | No log | 22.75 | 182 | 0.8833 | 0.6800 | 0.8833 | 0.9399 |
143
+ | No log | 23.0 | 184 | 0.8543 | 0.6923 | 0.8543 | 0.9243 |
144
+ | No log | 23.25 | 186 | 0.8813 | 0.6918 | 0.8813 | 0.9388 |
145
+ | No log | 23.5 | 188 | 1.0395 | 0.6667 | 1.0395 | 1.0196 |
146
+ | No log | 23.75 | 190 | 1.0378 | 0.6588 | 1.0378 | 1.0187 |
147
+ | No log | 24.0 | 192 | 0.8965 | 0.6939 | 0.8965 | 0.9468 |
148
+ | No log | 24.25 | 194 | 0.8594 | 0.6286 | 0.8594 | 0.9270 |
149
+ | No log | 24.5 | 196 | 0.9003 | 0.6757 | 0.9003 | 0.9488 |
150
+ | No log | 24.75 | 198 | 0.9033 | 0.6621 | 0.9033 | 0.9504 |
151
+ | No log | 25.0 | 200 | 0.8935 | 0.6286 | 0.8935 | 0.9453 |
152
+ | No log | 25.25 | 202 | 0.9022 | 0.6438 | 0.9022 | 0.9499 |
153
+ | No log | 25.5 | 204 | 0.9000 | 0.6531 | 0.9000 | 0.9487 |
154
+ | No log | 25.75 | 206 | 0.9302 | 0.6928 | 0.9302 | 0.9645 |
155
+ | No log | 26.0 | 208 | 0.9940 | 0.6490 | 0.9940 | 0.9970 |
156
+ | No log | 26.25 | 210 | 0.9692 | 0.6490 | 0.9692 | 0.9845 |
157
+ | No log | 26.5 | 212 | 0.8869 | 0.6892 | 0.8869 | 0.9417 |
158
+ | No log | 26.75 | 214 | 0.8932 | 0.6761 | 0.8932 | 0.9451 |
159
+ | No log | 27.0 | 216 | 1.0202 | 0.6395 | 1.0202 | 1.0100 |
160
+ | No log | 27.25 | 218 | 1.0982 | 0.5986 | 1.0982 | 1.0480 |
161
+ | No log | 27.5 | 220 | 1.0744 | 0.6081 | 1.0744 | 1.0366 |
162
+ | No log | 27.75 | 222 | 0.9934 | 0.6133 | 0.9934 | 0.9967 |
163
+ | No log | 28.0 | 224 | 0.9853 | 0.6974 | 0.9853 | 0.9926 |
164
+ | No log | 28.25 | 226 | 0.9949 | 0.6846 | 0.9949 | 0.9974 |
165
+ | No log | 28.5 | 228 | 0.9747 | 0.6712 | 0.9747 | 0.9873 |
166
+ | No log | 28.75 | 230 | 0.9688 | 0.5942 | 0.9688 | 0.9843 |
167
+ | No log | 29.0 | 232 | 1.0150 | 0.6286 | 1.0150 | 1.0075 |
168
+ | No log | 29.25 | 234 | 1.0539 | 0.5772 | 1.0539 | 1.0266 |
169
+ | No log | 29.5 | 236 | 1.0298 | 0.6434 | 1.0298 | 1.0148 |
170
+ | No log | 29.75 | 238 | 0.9871 | 0.6074 | 0.9871 | 0.9935 |
171
+ | No log | 30.0 | 240 | 0.9774 | 0.5985 | 0.9774 | 0.9886 |
172
+ | No log | 30.25 | 242 | 1.0038 | 0.6241 | 1.0038 | 1.0019 |
173
+ | No log | 30.5 | 244 | 0.9665 | 0.6241 | 0.9665 | 0.9831 |
174
+ | No log | 30.75 | 246 | 0.9025 | 0.6479 | 0.9025 | 0.9500 |
175
+ | No log | 31.0 | 248 | 0.9066 | 0.6515 | 0.9066 | 0.9521 |
176
+ | No log | 31.25 | 250 | 0.9458 | 0.6466 | 0.9458 | 0.9725 |
177
+ | No log | 31.5 | 252 | 0.9165 | 0.6815 | 0.9165 | 0.9573 |
178
+ | No log | 31.75 | 254 | 0.8562 | 0.6809 | 0.8562 | 0.9253 |
179
+ | No log | 32.0 | 256 | 0.8622 | 0.6803 | 0.8622 | 0.9285 |
180
+ | No log | 32.25 | 258 | 0.8953 | 0.6712 | 0.8953 | 0.9462 |
181
+ | No log | 32.5 | 260 | 0.8999 | 0.6712 | 0.8999 | 0.9486 |
182
+ | No log | 32.75 | 262 | 0.8817 | 0.6525 | 0.8817 | 0.9390 |
183
+ | No log | 33.0 | 264 | 0.8945 | 0.6087 | 0.8945 | 0.9458 |
184
+ | No log | 33.25 | 266 | 0.9352 | 0.6087 | 0.9352 | 0.9671 |
185
+ | No log | 33.5 | 268 | 0.9484 | 0.6087 | 0.9484 | 0.9739 |
186
+ | No log | 33.75 | 270 | 0.9534 | 0.6131 | 0.9534 | 0.9764 |
187
+ | No log | 34.0 | 272 | 0.9457 | 0.6222 | 0.9457 | 0.9725 |
188
+ | No log | 34.25 | 274 | 0.9463 | 0.6308 | 0.9463 | 0.9728 |
189
+ | No log | 34.5 | 276 | 0.9489 | 0.6308 | 0.9489 | 0.9741 |
190
+ | No log | 34.75 | 278 | 0.9268 | 0.6047 | 0.9268 | 0.9627 |
191
+ | No log | 35.0 | 280 | 0.9197 | 0.6364 | 0.9197 | 0.9590 |
192
+ | No log | 35.25 | 282 | 0.9089 | 0.6316 | 0.9089 | 0.9533 |
193
+ | No log | 35.5 | 284 | 0.8951 | 0.6260 | 0.8951 | 0.9461 |
194
+ | No log | 35.75 | 286 | 0.8994 | 0.6569 | 0.8994 | 0.9484 |
195
+ | No log | 36.0 | 288 | 0.9034 | 0.6812 | 0.9034 | 0.9505 |
196
+ | No log | 36.25 | 290 | 0.8861 | 0.6154 | 0.8861 | 0.9413 |
197
+ | No log | 36.5 | 292 | 0.8509 | 0.6260 | 0.8509 | 0.9225 |
198
+ | No log | 36.75 | 294 | 0.8212 | 0.6515 | 0.8212 | 0.9062 |
199
+ | No log | 37.0 | 296 | 0.8124 | 0.6861 | 0.8124 | 0.9013 |
200
+ | No log | 37.25 | 298 | 0.8017 | 0.6812 | 0.8017 | 0.8954 |
201
+ | No log | 37.5 | 300 | 0.8293 | 0.6765 | 0.8293 | 0.9106 |
202
+ | No log | 37.75 | 302 | 0.8726 | 0.6765 | 0.8726 | 0.9341 |
203
+ | No log | 38.0 | 304 | 0.8936 | 0.6471 | 0.8936 | 0.9453 |
204
+ | No log | 38.25 | 306 | 0.9025 | 0.6061 | 0.9025 | 0.9500 |
205
+ | No log | 38.5 | 308 | 0.9159 | 0.6260 | 0.9159 | 0.9571 |
206
+ | No log | 38.75 | 310 | 0.9179 | 0.6260 | 0.9179 | 0.9581 |
207
+ | No log | 39.0 | 312 | 0.9125 | 0.6061 | 0.9125 | 0.9553 |
208
+ | No log | 39.25 | 314 | 0.9186 | 0.6619 | 0.9186 | 0.9584 |
209
+ | No log | 39.5 | 316 | 0.9249 | 0.6486 | 0.9249 | 0.9617 |
210
+ | No log | 39.75 | 318 | 0.8653 | 0.6216 | 0.8653 | 0.9302 |
211
+ | No log | 40.0 | 320 | 0.8519 | 0.6809 | 0.8519 | 0.9230 |
212
+ | No log | 40.25 | 322 | 0.8750 | 0.6763 | 0.8750 | 0.9354 |
213
+ | No log | 40.5 | 324 | 0.8571 | 0.6809 | 0.8571 | 0.9258 |
214
+ | No log | 40.75 | 326 | 0.8788 | 0.6187 | 0.8788 | 0.9374 |
215
+ | No log | 41.0 | 328 | 1.0015 | 0.5890 | 1.0015 | 1.0007 |
216
+ | No log | 41.25 | 330 | 1.0264 | 0.5890 | 1.0264 | 1.0131 |
217
+ | No log | 41.5 | 332 | 1.0139 | 0.5890 | 1.0139 | 1.0069 |
218
+ | No log | 41.75 | 334 | 0.9463 | 0.6619 | 0.9463 | 0.9728 |
219
+ | No log | 42.0 | 336 | 0.9032 | 0.6466 | 0.9032 | 0.9504 |
220
+ | No log | 42.25 | 338 | 0.9032 | 0.6617 | 0.9032 | 0.9504 |
221
+ | No log | 42.5 | 340 | 0.9049 | 0.6370 | 0.9049 | 0.9513 |
222
+ | No log | 42.75 | 342 | 0.9334 | 0.6383 | 0.9334 | 0.9661 |
223
+ | No log | 43.0 | 344 | 0.9586 | 0.6573 | 0.9586 | 0.9791 |
224
+ | No log | 43.25 | 346 | 0.9248 | 0.6620 | 0.9248 | 0.9617 |
225
+ | No log | 43.5 | 348 | 0.8780 | 0.6232 | 0.8780 | 0.9370 |
226
+ | No log | 43.75 | 350 | 0.8633 | 0.6522 | 0.8633 | 0.9291 |
227
+ | No log | 44.0 | 352 | 0.8670 | 0.6377 | 0.8670 | 0.9311 |
228
+ | No log | 44.25 | 354 | 0.8944 | 0.6377 | 0.8944 | 0.9457 |
229
+ | No log | 44.5 | 356 | 0.9181 | 0.6222 | 0.9181 | 0.9582 |
230
+ | No log | 44.75 | 358 | 0.9303 | 0.6212 | 0.9303 | 0.9645 |
231
+ | No log | 45.0 | 360 | 0.9406 | 0.6316 | 0.9406 | 0.9699 |
232
+ | No log | 45.25 | 362 | 0.9549 | 0.6389 | 0.9549 | 0.9772 |
233
+ | No log | 45.5 | 364 | 0.9622 | 0.6623 | 0.9622 | 0.9809 |
234
+ | No log | 45.75 | 366 | 0.9624 | 0.6494 | 0.9624 | 0.9810 |
235
+ | No log | 46.0 | 368 | 0.9641 | 0.6497 | 0.9641 | 0.9819 |
236
+ | No log | 46.25 | 370 | 0.9669 | 0.6536 | 0.9669 | 0.9833 |
237
+ | No log | 46.5 | 372 | 0.9897 | 0.6351 | 0.9897 | 0.9949 |
238
+ | No log | 46.75 | 374 | 0.9958 | 0.6383 | 0.9958 | 0.9979 |
239
+ | No log | 47.0 | 376 | 0.9561 | 0.5970 | 0.9561 | 0.9778 |
240
+ | No log | 47.25 | 378 | 0.9083 | 0.6519 | 0.9083 | 0.9531 |
241
+ | No log | 47.5 | 380 | 0.8655 | 0.6861 | 0.8655 | 0.9303 |
242
+ | No log | 47.75 | 382 | 0.8506 | 0.6620 | 0.8506 | 0.9223 |
243
+ | No log | 48.0 | 384 | 0.8496 | 0.6434 | 0.8496 | 0.9217 |
244
+ | No log | 48.25 | 386 | 0.8361 | 0.6803 | 0.8361 | 0.9144 |
245
+ | No log | 48.5 | 388 | 0.8044 | 0.6711 | 0.8044 | 0.8969 |
246
+ | No log | 48.75 | 390 | 0.7924 | 0.6933 | 0.7924 | 0.8902 |
247
+ | No log | 49.0 | 392 | 0.7976 | 0.6846 | 0.7976 | 0.8931 |
248
+ | No log | 49.25 | 394 | 0.8158 | 0.6757 | 0.8158 | 0.9032 |
249
+ | No log | 49.5 | 396 | 0.8504 | 0.7123 | 0.8504 | 0.9222 |
250
+ | No log | 49.75 | 398 | 0.8826 | 0.6901 | 0.8826 | 0.9395 |
251
+ | No log | 50.0 | 400 | 0.9413 | 0.6286 | 0.9413 | 0.9702 |
252
+ | No log | 50.25 | 402 | 1.0141 | 0.6197 | 1.0141 | 1.0070 |
253
+ | No log | 50.5 | 404 | 1.0216 | 0.6197 | 1.0216 | 1.0107 |
254
+ | No log | 50.75 | 406 | 0.9808 | 0.6143 | 0.9808 | 0.9903 |
255
+ | No log | 51.0 | 408 | 0.9216 | 0.6767 | 0.9216 | 0.9600 |
256
+ | No log | 51.25 | 410 | 0.8974 | 0.6716 | 0.8974 | 0.9473 |
257
+ | No log | 51.5 | 412 | 0.8924 | 0.6765 | 0.8924 | 0.9447 |
258
+ | No log | 51.75 | 414 | 0.8906 | 0.6861 | 0.8906 | 0.9437 |
259
+ | No log | 52.0 | 416 | 0.8967 | 0.6466 | 0.8967 | 0.9470 |
260
+ | No log | 52.25 | 418 | 0.9209 | 0.6471 | 0.9209 | 0.9596 |
261
+ | No log | 52.5 | 420 | 0.9758 | 0.6475 | 0.9758 | 0.9878 |
262
+ | No log | 52.75 | 422 | 1.0097 | 0.6154 | 1.0097 | 1.0048 |
263
+ | No log | 53.0 | 424 | 1.0086 | 0.6144 | 1.0086 | 1.0043 |
264
+ | No log | 53.25 | 426 | 0.9639 | 0.6713 | 0.9639 | 0.9818 |
265
+ | No log | 53.5 | 428 | 0.8800 | 0.6714 | 0.8800 | 0.9381 |
266
+ | No log | 53.75 | 430 | 0.8209 | 0.6809 | 0.8209 | 0.9060 |
267
+ | No log | 54.0 | 432 | 0.8061 | 0.6429 | 0.8061 | 0.8978 |
268
+ | No log | 54.25 | 434 | 0.8098 | 0.6667 | 0.8098 | 0.8999 |
269
+ | No log | 54.5 | 436 | 0.8127 | 0.6667 | 0.8127 | 0.9015 |
270
+ | No log | 54.75 | 438 | 0.8130 | 0.6892 | 0.8130 | 0.9017 |
271
+ | No log | 55.0 | 440 | 0.8239 | 0.6939 | 0.8239 | 0.9077 |
272
+ | No log | 55.25 | 442 | 0.8454 | 0.6846 | 0.8454 | 0.9194 |
273
+ | No log | 55.5 | 444 | 0.8535 | 0.6806 | 0.8535 | 0.9239 |
274
+ | No log | 55.75 | 446 | 0.8590 | 0.6809 | 0.8590 | 0.9268 |
275
+ | No log | 56.0 | 448 | 0.8625 | 0.6809 | 0.8625 | 0.9287 |
276
+ | No log | 56.25 | 450 | 0.8580 | 0.6950 | 0.8580 | 0.9263 |
277
+ | No log | 56.5 | 452 | 0.8448 | 0.6809 | 0.8448 | 0.9191 |
278
+ | No log | 56.75 | 454 | 0.8470 | 0.6809 | 0.8470 | 0.9203 |
279
+ | No log | 57.0 | 456 | 0.8509 | 0.6853 | 0.8509 | 0.9224 |
280
+ | No log | 57.25 | 458 | 0.8640 | 0.6980 | 0.8640 | 0.9295 |
281
+ | No log | 57.5 | 460 | 0.8711 | 0.6974 | 0.8711 | 0.9333 |
282
+ | No log | 57.75 | 462 | 0.8697 | 0.7067 | 0.8697 | 0.9326 |
283
+ | No log | 58.0 | 464 | 0.8707 | 0.7067 | 0.8707 | 0.9331 |
284
+ | No log | 58.25 | 466 | 0.8789 | 0.6892 | 0.8789 | 0.9375 |
285
+ | No log | 58.5 | 468 | 0.8899 | 0.6759 | 0.8899 | 0.9433 |
286
+ | No log | 58.75 | 470 | 0.9072 | 0.6620 | 0.9072 | 0.9525 |
287
+ | No log | 59.0 | 472 | 0.9196 | 0.6573 | 0.9196 | 0.9589 |
288
+ | No log | 59.25 | 474 | 0.9186 | 0.6573 | 0.9186 | 0.9584 |
289
+ | No log | 59.5 | 476 | 0.9330 | 0.6447 | 0.9330 | 0.9659 |
290
+ | No log | 59.75 | 478 | 0.9413 | 0.6452 | 0.9413 | 0.9702 |
291
+ | No log | 60.0 | 480 | 0.9353 | 0.6452 | 0.9353 | 0.9671 |
292
+ | No log | 60.25 | 482 | 0.9251 | 0.6452 | 0.9251 | 0.9618 |
293
+ | No log | 60.5 | 484 | 0.9131 | 0.6447 | 0.9131 | 0.9555 |
294
+ | No log | 60.75 | 486 | 0.9065 | 0.6573 | 0.9065 | 0.9521 |
295
+ | No log | 61.0 | 488 | 0.8968 | 0.6429 | 0.8968 | 0.9470 |
296
+ | No log | 61.25 | 490 | 0.8904 | 0.6176 | 0.8904 | 0.9436 |
297
+ | No log | 61.5 | 492 | 0.8841 | 0.6131 | 0.8841 | 0.9403 |
298
+ | No log | 61.75 | 494 | 0.8765 | 0.6131 | 0.8765 | 0.9362 |
299
+ | No log | 62.0 | 496 | 0.8715 | 0.6232 | 0.8715 | 0.9335 |
300
+ | No log | 62.25 | 498 | 0.8836 | 0.64 | 0.8836 | 0.9400 |
301
+ | 0.2797 | 62.5 | 500 | 0.8971 | 0.64 | 0.8971 | 0.9471 |
302
+ | 0.2797 | 62.75 | 502 | 0.8977 | 0.6490 | 0.8977 | 0.9474 |
303
+ | 0.2797 | 63.0 | 504 | 0.9016 | 0.6395 | 0.9016 | 0.9495 |
304
+ | 0.2797 | 63.25 | 506 | 0.9128 | 0.6569 | 0.9128 | 0.9554 |
305
+ | 0.2797 | 63.5 | 508 | 0.9314 | 0.6619 | 0.9314 | 0.9651 |
306
+ | 0.2797 | 63.75 | 510 | 0.9382 | 0.6479 | 0.9382 | 0.9686 |
307
+ | 0.2797 | 64.0 | 512 | 0.9349 | 0.6479 | 0.9349 | 0.9669 |
308
+ | 0.2797 | 64.25 | 514 | 0.9215 | 0.6714 | 0.9215 | 0.9599 |
309
+ | 0.2797 | 64.5 | 516 | 0.9044 | 0.6761 | 0.9044 | 0.9510 |
310
+ | 0.2797 | 64.75 | 518 | 0.9047 | 0.6761 | 0.9047 | 0.9512 |
311
+ | 0.2797 | 65.0 | 520 | 0.9182 | 0.6438 | 0.9182 | 0.9582 |
312
+ | 0.2797 | 65.25 | 522 | 0.9265 | 0.6438 | 0.9265 | 0.9626 |
313
+ | 0.2797 | 65.5 | 524 | 0.9285 | 0.6667 | 0.9285 | 0.9636 |
314
+ | 0.2797 | 65.75 | 526 | 0.9201 | 0.6573 | 0.9201 | 0.9592 |
315
+ | 0.2797 | 66.0 | 528 | 0.9171 | 0.6573 | 0.9171 | 0.9577 |
316
+ | 0.2797 | 66.25 | 530 | 0.9129 | 0.6667 | 0.9129 | 0.9555 |
317
+ | 0.2797 | 66.5 | 532 | 0.9070 | 0.6761 | 0.9070 | 0.9524 |
318
+ | 0.2797 | 66.75 | 534 | 0.9122 | 0.6897 | 0.9122 | 0.9551 |
319
+ | 0.2797 | 67.0 | 536 | 0.9075 | 0.6575 | 0.9075 | 0.9526 |
320
+ | 0.2797 | 67.25 | 538 | 0.9017 | 0.6759 | 0.9017 | 0.9496 |
321
+ | 0.2797 | 67.5 | 540 | 0.9070 | 0.6667 | 0.9070 | 0.9523 |
322
+ | 0.2797 | 67.75 | 542 | 0.9112 | 0.6667 | 0.9112 | 0.9546 |
323
+ | 0.2797 | 68.0 | 544 | 0.9151 | 0.6667 | 0.9151 | 0.9566 |
324
+ | 0.2797 | 68.25 | 546 | 0.9219 | 0.6667 | 0.9219 | 0.9602 |
325
+ | 0.2797 | 68.5 | 548 | 0.9308 | 0.6667 | 0.9308 | 0.9648 |
326
+ | 0.2797 | 68.75 | 550 | 0.9418 | 0.6536 | 0.9418 | 0.9705 |
327
+ | 0.2797 | 69.0 | 552 | 0.9488 | 0.6536 | 0.9488 | 0.9741 |
328
+ | 0.2797 | 69.25 | 554 | 0.9565 | 0.6536 | 0.9565 | 0.9780 |
329
+ | 0.2797 | 69.5 | 556 | 0.9530 | 0.6536 | 0.9530 | 0.9762 |
330
+ | 0.2797 | 69.75 | 558 | 0.9428 | 0.6536 | 0.9428 | 0.9710 |
331
+ | 0.2797 | 70.0 | 560 | 0.9322 | 0.6711 | 0.9322 | 0.9655 |
332
+ | 0.2797 | 70.25 | 562 | 0.9272 | 0.6324 | 0.9272 | 0.9629 |
333
+ | 0.2797 | 70.5 | 564 | 0.9209 | 0.6324 | 0.9209 | 0.9596 |
334
+ | 0.2797 | 70.75 | 566 | 0.9141 | 0.6522 | 0.9141 | 0.9561 |
335
+ | 0.2797 | 71.0 | 568 | 0.9075 | 0.6232 | 0.9075 | 0.9526 |
336
+ | 0.2797 | 71.25 | 570 | 0.9021 | 0.6522 | 0.9021 | 0.9498 |
337
+ | 0.2797 | 71.5 | 572 | 0.8962 | 0.6423 | 0.8962 | 0.9467 |
338
+ | 0.2797 | 71.75 | 574 | 0.8920 | 0.6232 | 0.8920 | 0.9444 |
339
+ | 0.2797 | 72.0 | 576 | 0.8944 | 0.6277 | 0.8944 | 0.9457 |
340
+ | 0.2797 | 72.25 | 578 | 0.8959 | 0.6434 | 0.8959 | 0.9465 |
341
+ | 0.2797 | 72.5 | 580 | 0.8959 | 0.6434 | 0.8959 | 0.9465 |
342
+ | 0.2797 | 72.75 | 582 | 0.8907 | 0.6434 | 0.8907 | 0.9438 |
343
+ | 0.2797 | 73.0 | 584 | 0.8874 | 0.6434 | 0.8874 | 0.9420 |
344
+ | 0.2797 | 73.25 | 586 | 0.8830 | 0.6429 | 0.8830 | 0.9397 |
345
+ | 0.2797 | 73.5 | 588 | 0.8802 | 0.6131 | 0.8802 | 0.9382 |
346
+ | 0.2797 | 73.75 | 590 | 0.8836 | 0.6232 | 0.8836 | 0.9400 |
347
+ | 0.2797 | 74.0 | 592 | 0.8899 | 0.6569 | 0.8899 | 0.9433 |
348
+ | 0.2797 | 74.25 | 594 | 0.8949 | 0.6471 | 0.8949 | 0.9460 |
349
+ | 0.2797 | 74.5 | 596 | 0.9086 | 0.6715 | 0.9086 | 0.9532 |
350
+ | 0.2797 | 74.75 | 598 | 0.9306 | 0.6619 | 0.9306 | 0.9647 |
351
+ | 0.2797 | 75.0 | 600 | 0.9527 | 0.6377 | 0.9527 | 0.9761 |
352
+ | 0.2797 | 75.25 | 602 | 0.9675 | 0.6377 | 0.9675 | 0.9836 |
353
+ | 0.2797 | 75.5 | 604 | 0.9701 | 0.6377 | 0.9701 | 0.9849 |
354
+ | 0.2797 | 75.75 | 606 | 0.9693 | 0.6377 | 0.9693 | 0.9845 |
355
+ | 0.2797 | 76.0 | 608 | 0.9608 | 0.6377 | 0.9608 | 0.9802 |
356
+
357
+
358
+ ### Framework versions
359
+
360
+ - Transformers 4.44.2
361
+ - Pytorch 2.4.0+cu118
362
+ - Datasets 2.21.0
363
+ - 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 sha256:3ac3581511c216727cd128359685b26e5e649211b754a956c4bae646f6f6e837
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a75a135a10a95ec3f1db5f073f50baed9291fb5ab6197a74d1efa9c28133bdb
3
+ size 5368