Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task3_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
12469f4
·
verified ·
1 Parent(s): 0d9e960

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +314 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,314 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k6_task3_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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k6_task3_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: 0.8457
19
+ - Qwk: 0.1502
20
+ - Mse: 0.8457
21
+ - Rmse: 0.9196
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 | 0.0645 | 2 | 3.9178 | 0.0017 | 3.9178 | 1.9793 |
53
+ | No log | 0.1290 | 4 | 1.8956 | 0.0810 | 1.8956 | 1.3768 |
54
+ | No log | 0.1935 | 6 | 1.3164 | -0.0183 | 1.3164 | 1.1474 |
55
+ | No log | 0.2581 | 8 | 1.1543 | -0.0648 | 1.1543 | 1.0744 |
56
+ | No log | 0.3226 | 10 | 1.1486 | 0.0006 | 1.1486 | 1.0717 |
57
+ | No log | 0.3871 | 12 | 1.0683 | 0.0067 | 1.0683 | 1.0336 |
58
+ | No log | 0.4516 | 14 | 0.9359 | -0.0894 | 0.9359 | 0.9674 |
59
+ | No log | 0.5161 | 16 | 0.8138 | 0.0409 | 0.8138 | 0.9021 |
60
+ | No log | 0.5806 | 18 | 0.7204 | 0.0555 | 0.7204 | 0.8487 |
61
+ | No log | 0.6452 | 20 | 0.7555 | 0.0296 | 0.7555 | 0.8692 |
62
+ | No log | 0.7097 | 22 | 0.8763 | 0.0909 | 0.8763 | 0.9361 |
63
+ | No log | 0.7742 | 24 | 0.8850 | 0.0152 | 0.8850 | 0.9407 |
64
+ | No log | 0.8387 | 26 | 1.0326 | 0.0747 | 1.0326 | 1.0162 |
65
+ | No log | 0.9032 | 28 | 0.9725 | 0.0260 | 0.9725 | 0.9862 |
66
+ | No log | 0.9677 | 30 | 0.9406 | -0.0035 | 0.9406 | 0.9699 |
67
+ | No log | 1.0323 | 32 | 0.9742 | 0.1356 | 0.9742 | 0.9870 |
68
+ | No log | 1.0968 | 34 | 1.1858 | 0.1045 | 1.1858 | 1.0890 |
69
+ | No log | 1.1613 | 36 | 0.9011 | 0.0154 | 0.9011 | 0.9493 |
70
+ | No log | 1.2258 | 38 | 0.9093 | 0.0007 | 0.9093 | 0.9536 |
71
+ | No log | 1.2903 | 40 | 0.8418 | 0.1334 | 0.8418 | 0.9175 |
72
+ | No log | 1.3548 | 42 | 0.8470 | 0.0856 | 0.8470 | 0.9203 |
73
+ | No log | 1.4194 | 44 | 0.8453 | 0.1277 | 0.8453 | 0.9194 |
74
+ | No log | 1.4839 | 46 | 0.9575 | 0.0180 | 0.9575 | 0.9785 |
75
+ | No log | 1.5484 | 48 | 1.0712 | -0.0023 | 1.0712 | 1.0350 |
76
+ | No log | 1.6129 | 50 | 0.9788 | 0.0233 | 0.9788 | 0.9893 |
77
+ | No log | 1.6774 | 52 | 0.7902 | 0.1007 | 0.7902 | 0.8889 |
78
+ | No log | 1.7419 | 54 | 0.9088 | -0.0097 | 0.9088 | 0.9533 |
79
+ | No log | 1.8065 | 56 | 0.7856 | 0.0927 | 0.7856 | 0.8864 |
80
+ | No log | 1.8710 | 58 | 0.7882 | 0.1080 | 0.7882 | 0.8878 |
81
+ | No log | 1.9355 | 60 | 0.7655 | 0.1702 | 0.7655 | 0.8749 |
82
+ | No log | 2.0 | 62 | 0.9086 | 0.0644 | 0.9086 | 0.9532 |
83
+ | No log | 2.0645 | 64 | 0.9466 | 0.0519 | 0.9466 | 0.9730 |
84
+ | No log | 2.1290 | 66 | 0.7670 | 0.1863 | 0.7670 | 0.8758 |
85
+ | No log | 2.1935 | 68 | 0.7995 | 0.1929 | 0.7995 | 0.8942 |
86
+ | No log | 2.2581 | 70 | 0.8201 | 0.1929 | 0.8201 | 0.9056 |
87
+ | No log | 2.3226 | 72 | 0.7729 | 0.2743 | 0.7729 | 0.8792 |
88
+ | No log | 2.3871 | 74 | 1.1043 | 0.0735 | 1.1043 | 1.0508 |
89
+ | No log | 2.4516 | 76 | 1.3058 | 0.1555 | 1.3058 | 1.1427 |
90
+ | No log | 2.5161 | 78 | 0.9589 | 0.1548 | 0.9589 | 0.9792 |
91
+ | No log | 2.5806 | 80 | 1.3128 | 0.1103 | 1.3128 | 1.1458 |
92
+ | No log | 2.6452 | 82 | 1.3892 | -0.0154 | 1.3892 | 1.1787 |
93
+ | No log | 2.7097 | 84 | 1.0483 | 0.0836 | 1.0483 | 1.0239 |
94
+ | No log | 2.7742 | 86 | 0.8153 | 0.0650 | 0.8153 | 0.9029 |
95
+ | No log | 2.8387 | 88 | 1.0255 | -0.0558 | 1.0255 | 1.0126 |
96
+ | No log | 2.9032 | 90 | 0.8324 | 0.0953 | 0.8324 | 0.9123 |
97
+ | No log | 2.9677 | 92 | 0.7232 | 0.1644 | 0.7232 | 0.8504 |
98
+ | No log | 3.0323 | 94 | 0.7486 | 0.1143 | 0.7486 | 0.8652 |
99
+ | No log | 3.0968 | 96 | 0.8376 | 0.1281 | 0.8376 | 0.9152 |
100
+ | No log | 3.1613 | 98 | 0.8475 | 0.1660 | 0.8475 | 0.9206 |
101
+ | No log | 3.2258 | 100 | 0.8584 | 0.1228 | 0.8584 | 0.9265 |
102
+ | No log | 3.2903 | 102 | 0.8239 | 0.1660 | 0.8239 | 0.9077 |
103
+ | No log | 3.3548 | 104 | 0.8710 | 0.1609 | 0.8710 | 0.9333 |
104
+ | No log | 3.4194 | 106 | 0.8421 | 0.1538 | 0.8421 | 0.9177 |
105
+ | No log | 3.4839 | 108 | 1.1024 | 0.2210 | 1.1024 | 1.0499 |
106
+ | No log | 3.5484 | 110 | 1.0162 | 0.1009 | 1.0162 | 1.0081 |
107
+ | No log | 3.6129 | 112 | 0.8759 | 0.1509 | 0.8759 | 0.9359 |
108
+ | No log | 3.6774 | 114 | 0.8667 | 0.1432 | 0.8667 | 0.9310 |
109
+ | No log | 3.7419 | 116 | 0.8664 | 0.2345 | 0.8664 | 0.9308 |
110
+ | No log | 3.8065 | 118 | 0.7647 | 0.1221 | 0.7647 | 0.8744 |
111
+ | No log | 3.8710 | 120 | 0.8128 | 0.1037 | 0.8128 | 0.9015 |
112
+ | No log | 3.9355 | 122 | 0.7733 | 0.0129 | 0.7733 | 0.8794 |
113
+ | No log | 4.0 | 124 | 0.8450 | 0.0762 | 0.8450 | 0.9192 |
114
+ | No log | 4.0645 | 126 | 1.4435 | 0.0359 | 1.4435 | 1.2015 |
115
+ | No log | 4.1290 | 128 | 1.3781 | 0.0115 | 1.3781 | 1.1739 |
116
+ | No log | 4.1935 | 130 | 0.8904 | 0.0843 | 0.8904 | 0.9436 |
117
+ | No log | 4.2581 | 132 | 0.7880 | 0.0633 | 0.7880 | 0.8877 |
118
+ | No log | 4.3226 | 134 | 0.9449 | 0.1116 | 0.9449 | 0.9720 |
119
+ | No log | 4.3871 | 136 | 0.8402 | 0.1484 | 0.8402 | 0.9166 |
120
+ | No log | 4.4516 | 138 | 0.8294 | 0.0871 | 0.8294 | 0.9107 |
121
+ | No log | 4.5161 | 140 | 1.1373 | 0.0795 | 1.1373 | 1.0664 |
122
+ | No log | 4.5806 | 142 | 1.0771 | 0.1187 | 1.0771 | 1.0378 |
123
+ | No log | 4.6452 | 144 | 0.7826 | 0.0871 | 0.7826 | 0.8846 |
124
+ | No log | 4.7097 | 146 | 0.7461 | 0.0879 | 0.7461 | 0.8638 |
125
+ | No log | 4.7742 | 148 | 0.7702 | 0.1003 | 0.7702 | 0.8776 |
126
+ | No log | 4.8387 | 150 | 0.8891 | 0.0727 | 0.8891 | 0.9429 |
127
+ | No log | 4.9032 | 152 | 0.9180 | -0.0029 | 0.9180 | 0.9581 |
128
+ | No log | 4.9677 | 154 | 0.8546 | 0.0930 | 0.8546 | 0.9244 |
129
+ | No log | 5.0323 | 156 | 0.8196 | 0.1051 | 0.8196 | 0.9053 |
130
+ | No log | 5.0968 | 158 | 0.8109 | 0.1767 | 0.8109 | 0.9005 |
131
+ | No log | 5.1613 | 160 | 0.8946 | 0.0377 | 0.8946 | 0.9458 |
132
+ | No log | 5.2258 | 162 | 0.9482 | -0.0194 | 0.9482 | 0.9737 |
133
+ | No log | 5.2903 | 164 | 0.7520 | 0.1047 | 0.7520 | 0.8672 |
134
+ | No log | 5.3548 | 166 | 0.6982 | 0.1576 | 0.6982 | 0.8356 |
135
+ | No log | 5.4194 | 168 | 0.7153 | 0.1080 | 0.7153 | 0.8458 |
136
+ | No log | 5.4839 | 170 | 0.7106 | 0.0869 | 0.7106 | 0.8430 |
137
+ | No log | 5.5484 | 172 | 0.7835 | 0.0175 | 0.7835 | 0.8852 |
138
+ | No log | 5.6129 | 174 | 0.7981 | -0.0209 | 0.7981 | 0.8934 |
139
+ | No log | 5.6774 | 176 | 0.7831 | -0.0427 | 0.7831 | 0.8849 |
140
+ | No log | 5.7419 | 178 | 0.7944 | -0.0387 | 0.7944 | 0.8913 |
141
+ | No log | 5.8065 | 180 | 0.7818 | -0.0086 | 0.7818 | 0.8842 |
142
+ | No log | 5.8710 | 182 | 0.8258 | -0.0303 | 0.8258 | 0.9088 |
143
+ | No log | 5.9355 | 184 | 0.7771 | 0.1144 | 0.7771 | 0.8815 |
144
+ | No log | 6.0 | 186 | 0.7356 | -0.0488 | 0.7356 | 0.8577 |
145
+ | No log | 6.0645 | 188 | 0.7589 | 0.0981 | 0.7589 | 0.8711 |
146
+ | No log | 6.1290 | 190 | 0.8451 | 0.1416 | 0.8451 | 0.9193 |
147
+ | No log | 6.1935 | 192 | 0.9106 | 0.1440 | 0.9106 | 0.9543 |
148
+ | No log | 6.2581 | 194 | 0.9965 | 0.1138 | 0.9965 | 0.9982 |
149
+ | No log | 6.3226 | 196 | 1.0527 | 0.1101 | 1.0527 | 1.0260 |
150
+ | No log | 6.3871 | 198 | 0.9626 | 0.1249 | 0.9626 | 0.9811 |
151
+ | No log | 6.4516 | 200 | 0.9427 | 0.0632 | 0.9427 | 0.9709 |
152
+ | No log | 6.5161 | 202 | 0.8449 | 0.0989 | 0.8449 | 0.9192 |
153
+ | No log | 6.5806 | 204 | 0.7709 | 0.0236 | 0.7709 | 0.8780 |
154
+ | No log | 6.6452 | 206 | 0.8214 | 0.0068 | 0.8214 | 0.9063 |
155
+ | No log | 6.7097 | 208 | 0.7510 | 0.0650 | 0.7510 | 0.8666 |
156
+ | No log | 6.7742 | 210 | 0.7587 | 0.1029 | 0.7587 | 0.8710 |
157
+ | No log | 6.8387 | 212 | 0.8631 | 0.1121 | 0.8631 | 0.9290 |
158
+ | No log | 6.9032 | 214 | 0.8417 | 0.1079 | 0.8417 | 0.9174 |
159
+ | No log | 6.9677 | 216 | 0.7762 | 0.0216 | 0.7762 | 0.8810 |
160
+ | No log | 7.0323 | 218 | 0.7678 | -0.0230 | 0.7678 | 0.8763 |
161
+ | No log | 7.0968 | 220 | 0.7356 | 0.0783 | 0.7356 | 0.8577 |
162
+ | No log | 7.1613 | 222 | 0.7699 | -0.0307 | 0.7699 | 0.8774 |
163
+ | No log | 7.2258 | 224 | 0.7430 | 0.0471 | 0.7430 | 0.8620 |
164
+ | No log | 7.2903 | 226 | 0.7303 | 0.0741 | 0.7303 | 0.8546 |
165
+ | No log | 7.3548 | 228 | 0.7486 | 0.0639 | 0.7486 | 0.8652 |
166
+ | No log | 7.4194 | 230 | 0.7785 | 0.0867 | 0.7785 | 0.8823 |
167
+ | No log | 7.4839 | 232 | 0.7371 | 0.0289 | 0.7371 | 0.8586 |
168
+ | No log | 7.5484 | 234 | 0.7493 | 0.2481 | 0.7493 | 0.8656 |
169
+ | No log | 7.6129 | 236 | 0.7627 | 0.2553 | 0.7627 | 0.8733 |
170
+ | No log | 7.6774 | 238 | 0.7420 | 0.1049 | 0.7420 | 0.8614 |
171
+ | No log | 7.7419 | 240 | 0.7277 | 0.2138 | 0.7277 | 0.8531 |
172
+ | No log | 7.8065 | 242 | 0.7311 | 0.1718 | 0.7311 | 0.8551 |
173
+ | No log | 7.8710 | 244 | 0.7176 | 0.1689 | 0.7176 | 0.8471 |
174
+ | No log | 7.9355 | 246 | 0.7200 | 0.1199 | 0.7200 | 0.8485 |
175
+ | No log | 8.0 | 248 | 0.7091 | 0.0776 | 0.7091 | 0.8421 |
176
+ | No log | 8.0645 | 250 | 0.7494 | 0.1028 | 0.7494 | 0.8657 |
177
+ | No log | 8.1290 | 252 | 0.8465 | 0.0285 | 0.8465 | 0.9200 |
178
+ | No log | 8.1935 | 254 | 0.8090 | 0.0110 | 0.8090 | 0.8994 |
179
+ | No log | 8.2581 | 256 | 0.8012 | 0.1529 | 0.8012 | 0.8951 |
180
+ | No log | 8.3226 | 258 | 0.8043 | -0.0541 | 0.8043 | 0.8968 |
181
+ | No log | 8.3871 | 260 | 0.8242 | 0.0595 | 0.8242 | 0.9078 |
182
+ | No log | 8.4516 | 262 | 0.7732 | 0.0828 | 0.7732 | 0.8793 |
183
+ | No log | 8.5161 | 264 | 0.8077 | 0.0622 | 0.8077 | 0.8987 |
184
+ | No log | 8.5806 | 266 | 0.7889 | 0.1095 | 0.7889 | 0.8882 |
185
+ | No log | 8.6452 | 268 | 0.7368 | 0.1244 | 0.7368 | 0.8584 |
186
+ | No log | 8.7097 | 270 | 0.7210 | 0.1244 | 0.7210 | 0.8491 |
187
+ | No log | 8.7742 | 272 | 0.7211 | 0.1244 | 0.7211 | 0.8492 |
188
+ | No log | 8.8387 | 274 | 0.7336 | 0.0741 | 0.7336 | 0.8565 |
189
+ | No log | 8.9032 | 276 | 0.7391 | 0.1240 | 0.7391 | 0.8597 |
190
+ | No log | 8.9677 | 278 | 0.7553 | 0.0741 | 0.7553 | 0.8691 |
191
+ | No log | 9.0323 | 280 | 0.7816 | 0.1143 | 0.7816 | 0.8841 |
192
+ | No log | 9.0968 | 282 | 0.7823 | 0.0376 | 0.7823 | 0.8845 |
193
+ | No log | 9.1613 | 284 | 0.7926 | 0.0810 | 0.7926 | 0.8903 |
194
+ | No log | 9.2258 | 286 | 0.7685 | 0.1240 | 0.7685 | 0.8767 |
195
+ | No log | 9.2903 | 288 | 0.7555 | 0.0834 | 0.7555 | 0.8692 |
196
+ | No log | 9.3548 | 290 | 0.7350 | 0.0828 | 0.7350 | 0.8573 |
197
+ | No log | 9.4194 | 292 | 0.7291 | 0.0723 | 0.7291 | 0.8539 |
198
+ | No log | 9.4839 | 294 | 0.7155 | 0.0269 | 0.7155 | 0.8459 |
199
+ | No log | 9.5484 | 296 | 0.7238 | 0.0749 | 0.7238 | 0.8508 |
200
+ | No log | 9.6129 | 298 | 0.7634 | 0.1004 | 0.7634 | 0.8737 |
201
+ | No log | 9.6774 | 300 | 0.7729 | 0.0749 | 0.7729 | 0.8792 |
202
+ | No log | 9.7419 | 302 | 0.8227 | 0.1647 | 0.8227 | 0.9070 |
203
+ | No log | 9.8065 | 304 | 0.8910 | 0.1506 | 0.8910 | 0.9439 |
204
+ | No log | 9.8710 | 306 | 0.8191 | 0.0595 | 0.8191 | 0.9050 |
205
+ | No log | 9.9355 | 308 | 0.7578 | 0.0840 | 0.7578 | 0.8705 |
206
+ | No log | 10.0 | 310 | 0.7954 | 0.1495 | 0.7954 | 0.8919 |
207
+ | No log | 10.0645 | 312 | 0.8037 | 0.1001 | 0.8037 | 0.8965 |
208
+ | No log | 10.1290 | 314 | 0.7293 | 0.1146 | 0.7293 | 0.8540 |
209
+ | No log | 10.1935 | 316 | 0.7676 | -0.0837 | 0.7676 | 0.8761 |
210
+ | No log | 10.2581 | 318 | 0.7853 | -0.0837 | 0.7853 | 0.8862 |
211
+ | No log | 10.3226 | 320 | 0.7257 | 0.0741 | 0.7257 | 0.8519 |
212
+ | No log | 10.3871 | 322 | 0.8285 | 0.1291 | 0.8285 | 0.9102 |
213
+ | No log | 10.4516 | 324 | 0.8180 | 0.1342 | 0.8180 | 0.9044 |
214
+ | No log | 10.5161 | 326 | 0.7648 | 0.0313 | 0.7648 | 0.8746 |
215
+ | No log | 10.5806 | 328 | 0.7880 | -0.0798 | 0.7880 | 0.8877 |
216
+ | No log | 10.6452 | 330 | 0.7344 | 0.0376 | 0.7344 | 0.8570 |
217
+ | No log | 10.7097 | 332 | 0.7327 | 0.1095 | 0.7327 | 0.8560 |
218
+ | No log | 10.7742 | 334 | 0.7433 | 0.1146 | 0.7433 | 0.8622 |
219
+ | No log | 10.8387 | 336 | 0.7403 | -0.0599 | 0.7403 | 0.8604 |
220
+ | No log | 10.9032 | 338 | 0.7712 | -0.1398 | 0.7712 | 0.8782 |
221
+ | No log | 10.9677 | 340 | 0.7854 | -0.1823 | 0.7854 | 0.8863 |
222
+ | No log | 11.0323 | 342 | 0.7648 | -0.0967 | 0.7648 | 0.8745 |
223
+ | No log | 11.0968 | 344 | 0.7567 | 0.0814 | 0.7567 | 0.8699 |
224
+ | No log | 11.1613 | 346 | 0.7526 | 0.0814 | 0.7526 | 0.8675 |
225
+ | No log | 11.2258 | 348 | 0.7380 | 0.0814 | 0.7380 | 0.8591 |
226
+ | No log | 11.2903 | 350 | 0.7070 | 0.0814 | 0.7070 | 0.8409 |
227
+ | No log | 11.3548 | 352 | 0.7011 | 0.0 | 0.7011 | 0.8373 |
228
+ | No log | 11.4194 | 354 | 0.7442 | -0.1551 | 0.7442 | 0.8627 |
229
+ | No log | 11.4839 | 356 | 0.7538 | -0.2006 | 0.7538 | 0.8682 |
230
+ | No log | 11.5484 | 358 | 0.6918 | -0.0062 | 0.6918 | 0.8317 |
231
+ | No log | 11.6129 | 360 | 0.7392 | 0.1449 | 0.7392 | 0.8598 |
232
+ | No log | 11.6774 | 362 | 0.8614 | 0.0786 | 0.8614 | 0.9281 |
233
+ | No log | 11.7419 | 364 | 0.8127 | 0.0826 | 0.8127 | 0.9015 |
234
+ | No log | 11.8065 | 366 | 0.7262 | 0.0289 | 0.7262 | 0.8522 |
235
+ | No log | 11.8710 | 368 | 0.7418 | 0.0884 | 0.7418 | 0.8613 |
236
+ | No log | 11.9355 | 370 | 0.7418 | 0.0884 | 0.7418 | 0.8613 |
237
+ | No log | 12.0 | 372 | 0.7177 | 0.0323 | 0.7177 | 0.8472 |
238
+ | No log | 12.0645 | 374 | 0.7548 | 0.1387 | 0.7548 | 0.8688 |
239
+ | No log | 12.1290 | 376 | 0.7749 | 0.0871 | 0.7749 | 0.8803 |
240
+ | No log | 12.1935 | 378 | 0.7443 | 0.1095 | 0.7443 | 0.8628 |
241
+ | No log | 12.2581 | 380 | 0.7367 | 0.1585 | 0.7367 | 0.8583 |
242
+ | No log | 12.3226 | 382 | 0.7544 | 0.0650 | 0.7544 | 0.8686 |
243
+ | No log | 12.3871 | 384 | 0.7509 | 0.0327 | 0.7509 | 0.8666 |
244
+ | No log | 12.4516 | 386 | 0.7470 | -0.0079 | 0.7470 | 0.8643 |
245
+ | No log | 12.5161 | 388 | 0.7460 | 0.0732 | 0.7460 | 0.8637 |
246
+ | No log | 12.5806 | 390 | 0.7492 | -0.0132 | 0.7492 | 0.8656 |
247
+ | No log | 12.6452 | 392 | 0.7392 | -0.0557 | 0.7392 | 0.8598 |
248
+ | No log | 12.7097 | 394 | 0.7632 | -0.0406 | 0.7632 | 0.8736 |
249
+ | No log | 12.7742 | 396 | 0.7634 | -0.0406 | 0.7634 | 0.8737 |
250
+ | No log | 12.8387 | 398 | 0.7444 | -0.0082 | 0.7444 | 0.8628 |
251
+ | No log | 12.9032 | 400 | 0.7668 | -0.0138 | 0.7668 | 0.8757 |
252
+ | No log | 12.9677 | 402 | 0.8201 | 0.0205 | 0.8201 | 0.9056 |
253
+ | No log | 13.0323 | 404 | 0.8744 | 0.0409 | 0.8744 | 0.9351 |
254
+ | No log | 13.0968 | 406 | 0.8384 | 0.0095 | 0.8384 | 0.9157 |
255
+ | No log | 13.1613 | 408 | 0.7953 | 0.0660 | 0.7953 | 0.8918 |
256
+ | No log | 13.2258 | 410 | 0.7687 | -0.0533 | 0.7687 | 0.8768 |
257
+ | No log | 13.2903 | 412 | 0.7609 | 0.0214 | 0.7609 | 0.8723 |
258
+ | No log | 13.3548 | 414 | 0.7463 | 0.0670 | 0.7463 | 0.8639 |
259
+ | No log | 13.4194 | 416 | 0.7269 | -0.0170 | 0.7269 | 0.8526 |
260
+ | No log | 13.4839 | 418 | 0.7207 | -0.0612 | 0.7207 | 0.8489 |
261
+ | No log | 13.5484 | 420 | 0.6976 | 0.0807 | 0.6976 | 0.8352 |
262
+ | No log | 13.6129 | 422 | 0.6924 | 0.0260 | 0.6924 | 0.8321 |
263
+ | No log | 13.6774 | 424 | 0.7139 | 0.0318 | 0.7139 | 0.8449 |
264
+ | No log | 13.7419 | 426 | 0.7494 | -0.0195 | 0.7494 | 0.8657 |
265
+ | No log | 13.8065 | 428 | 0.7943 | 0.0277 | 0.7943 | 0.8913 |
266
+ | No log | 13.8710 | 430 | 0.8489 | 0.0670 | 0.8489 | 0.9214 |
267
+ | No log | 13.9355 | 432 | 0.8787 | 0.0265 | 0.8787 | 0.9374 |
268
+ | No log | 14.0 | 434 | 0.8737 | 0.0265 | 0.8737 | 0.9347 |
269
+ | No log | 14.0645 | 436 | 0.8311 | -0.0127 | 0.8311 | 0.9116 |
270
+ | No log | 14.1290 | 438 | 0.7910 | -0.0079 | 0.7910 | 0.8894 |
271
+ | No log | 14.1935 | 440 | 0.7444 | 0.0289 | 0.7444 | 0.8628 |
272
+ | No log | 14.2581 | 442 | 0.7535 | 0.1449 | 0.7535 | 0.8680 |
273
+ | No log | 14.3226 | 444 | 0.7517 | 0.1836 | 0.7517 | 0.8670 |
274
+ | No log | 14.3871 | 446 | 0.7165 | 0.1146 | 0.7165 | 0.8465 |
275
+ | No log | 14.4516 | 448 | 0.7126 | -0.0976 | 0.7126 | 0.8442 |
276
+ | No log | 14.5161 | 450 | 0.7340 | -0.0427 | 0.7340 | 0.8568 |
277
+ | No log | 14.5806 | 452 | 0.7208 | 0.0257 | 0.7208 | 0.8490 |
278
+ | No log | 14.6452 | 454 | 0.7456 | 0.1879 | 0.7456 | 0.8635 |
279
+ | No log | 14.7097 | 456 | 0.7365 | 0.1495 | 0.7365 | 0.8582 |
280
+ | No log | 14.7742 | 458 | 0.7245 | 0.0410 | 0.7245 | 0.8511 |
281
+ | No log | 14.8387 | 460 | 0.7353 | -0.0426 | 0.7353 | 0.8575 |
282
+ | No log | 14.9032 | 462 | 0.7320 | -0.0976 | 0.7320 | 0.8556 |
283
+ | No log | 14.9677 | 464 | 0.7067 | -0.0560 | 0.7067 | 0.8407 |
284
+ | No log | 15.0323 | 466 | 0.6867 | 0.0416 | 0.6867 | 0.8287 |
285
+ | No log | 15.0968 | 468 | 0.6865 | 0.1379 | 0.6865 | 0.8286 |
286
+ | No log | 15.1613 | 470 | 0.7032 | 0.1627 | 0.7032 | 0.8386 |
287
+ | No log | 15.2258 | 472 | 0.7110 | 0.2034 | 0.7110 | 0.8432 |
288
+ | No log | 15.2903 | 474 | 0.7146 | 0.1627 | 0.7146 | 0.8454 |
289
+ | No log | 15.3548 | 476 | 0.7306 | 0.0700 | 0.7306 | 0.8548 |
290
+ | No log | 15.4194 | 478 | 0.7609 | 0.0749 | 0.7609 | 0.8723 |
291
+ | No log | 15.4839 | 480 | 0.7704 | 0.0717 | 0.7704 | 0.8777 |
292
+ | No log | 15.5484 | 482 | 0.8060 | 0.0024 | 0.8060 | 0.8978 |
293
+ | No log | 15.6129 | 484 | 0.8046 | 0.0313 | 0.8046 | 0.8970 |
294
+ | No log | 15.6774 | 486 | 0.8219 | 0.1004 | 0.8219 | 0.9066 |
295
+ | No log | 15.7419 | 488 | 0.9013 | 0.0293 | 0.9013 | 0.9493 |
296
+ | No log | 15.8065 | 490 | 0.8597 | 0.1379 | 0.8597 | 0.9272 |
297
+ | No log | 15.8710 | 492 | 0.7706 | 0.0277 | 0.7706 | 0.8779 |
298
+ | No log | 15.9355 | 494 | 0.7575 | -0.0138 | 0.7575 | 0.8703 |
299
+ | No log | 16.0 | 496 | 0.7901 | 0.1449 | 0.7901 | 0.8889 |
300
+ | No log | 16.0645 | 498 | 0.8288 | 0.1775 | 0.8288 | 0.9104 |
301
+ | 0.2516 | 16.1290 | 500 | 0.8166 | 0.1775 | 0.8166 | 0.9036 |
302
+ | 0.2516 | 16.1935 | 502 | 0.7547 | 0.0680 | 0.7547 | 0.8687 |
303
+ | 0.2516 | 16.2581 | 504 | 0.7468 | -0.0541 | 0.7468 | 0.8642 |
304
+ | 0.2516 | 16.3226 | 506 | 0.7465 | -0.0082 | 0.7465 | 0.8640 |
305
+ | 0.2516 | 16.3871 | 508 | 0.7719 | 0.1286 | 0.7719 | 0.8786 |
306
+ | 0.2516 | 16.4516 | 510 | 0.8457 | 0.1502 | 0.8457 | 0.9196 |
307
+
308
+
309
+ ### Framework versions
310
+
311
+ - Transformers 4.44.2
312
+ - Pytorch 2.4.0+cu118
313
+ - Datasets 2.21.0
314
+ - 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:e84bfe193a24097015dc5e48f0998614ce78682de54b8d779cd381bb61f30cfc
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:472c15d646ddab419940c65a24ec03fbfb6d8c35d532aff3d75cddfe0fd84aa6
3
+ size 5304