Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task3_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
f4de4f2
·
verified ·
1 Parent(s): e08efad

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +319 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_run3_AugV5_k18_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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_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: 0.9889
19
+ - Qwk: -0.0336
20
+ - Mse: 0.9889
21
+ - Rmse: 0.9944
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 | 3.6132 | -0.0252 | 3.6132 | 1.9008 |
53
+ | No log | 0.0889 | 4 | 2.3154 | 0.0431 | 2.3154 | 1.5217 |
54
+ | No log | 0.1333 | 6 | 2.3802 | 0.0304 | 2.3802 | 1.5428 |
55
+ | No log | 0.1778 | 8 | 1.5836 | -0.0015 | 1.5836 | 1.2584 |
56
+ | No log | 0.2222 | 10 | 1.0974 | 0.0423 | 1.0974 | 1.0476 |
57
+ | No log | 0.2667 | 12 | 1.1507 | -0.0178 | 1.1507 | 1.0727 |
58
+ | No log | 0.3111 | 14 | 1.0164 | -0.0345 | 1.0164 | 1.0081 |
59
+ | No log | 0.3556 | 16 | 0.7562 | -0.0188 | 0.7562 | 0.8696 |
60
+ | No log | 0.4 | 18 | 0.7388 | -0.1223 | 0.7388 | 0.8596 |
61
+ | No log | 0.4444 | 20 | 0.7972 | -0.0188 | 0.7972 | 0.8929 |
62
+ | No log | 0.4889 | 22 | 1.0593 | 0.0446 | 1.0593 | 1.0292 |
63
+ | No log | 0.5333 | 24 | 1.5707 | 0.0 | 1.5707 | 1.2533 |
64
+ | No log | 0.5778 | 26 | 1.7024 | 0.0 | 1.7024 | 1.3048 |
65
+ | No log | 0.6222 | 28 | 1.7264 | 0.0 | 1.7264 | 1.3139 |
66
+ | No log | 0.6667 | 30 | 1.5152 | 0.0 | 1.5153 | 1.2310 |
67
+ | No log | 0.7111 | 32 | 1.3409 | 0.0 | 1.3409 | 1.1580 |
68
+ | No log | 0.7556 | 34 | 1.3414 | 0.0 | 1.3414 | 1.1582 |
69
+ | No log | 0.8 | 36 | 1.3420 | 0.0 | 1.3420 | 1.1585 |
70
+ | No log | 0.8444 | 38 | 1.3156 | 0.0 | 1.3156 | 1.1470 |
71
+ | No log | 0.8889 | 40 | 1.1599 | 0.0 | 1.1599 | 1.0770 |
72
+ | No log | 0.9333 | 42 | 0.9175 | 0.0006 | 0.9175 | 0.9578 |
73
+ | No log | 0.9778 | 44 | 0.8567 | -0.0861 | 0.8567 | 0.9256 |
74
+ | No log | 1.0222 | 46 | 0.8364 | -0.0766 | 0.8364 | 0.9145 |
75
+ | No log | 1.0667 | 48 | 0.9196 | 0.0404 | 0.9196 | 0.9589 |
76
+ | No log | 1.1111 | 50 | 1.2286 | -0.1023 | 1.2286 | 1.1084 |
77
+ | No log | 1.1556 | 52 | 1.4689 | -0.1023 | 1.4689 | 1.2120 |
78
+ | No log | 1.2 | 54 | 1.4188 | -0.1292 | 1.4188 | 1.1911 |
79
+ | No log | 1.2444 | 56 | 1.3135 | -0.0372 | 1.3135 | 1.1461 |
80
+ | No log | 1.2889 | 58 | 1.3043 | -0.0992 | 1.3043 | 1.1421 |
81
+ | No log | 1.3333 | 60 | 1.3114 | -0.1019 | 1.3114 | 1.1452 |
82
+ | No log | 1.3778 | 62 | 1.1451 | -0.0500 | 1.1451 | 1.0701 |
83
+ | No log | 1.4222 | 64 | 1.0647 | 0.0 | 1.0647 | 1.0318 |
84
+ | No log | 1.4667 | 66 | 0.9364 | 0.0156 | 0.9364 | 0.9677 |
85
+ | No log | 1.5111 | 68 | 0.8602 | 0.0486 | 0.8602 | 0.9274 |
86
+ | No log | 1.5556 | 70 | 0.8936 | -0.0013 | 0.8936 | 0.9453 |
87
+ | No log | 1.6 | 72 | 0.9734 | -0.0385 | 0.9734 | 0.9866 |
88
+ | No log | 1.6444 | 74 | 1.0561 | -0.0704 | 1.0561 | 1.0277 |
89
+ | No log | 1.6889 | 76 | 1.2600 | -0.0234 | 1.2600 | 1.1225 |
90
+ | No log | 1.7333 | 78 | 1.4230 | -0.0234 | 1.4230 | 1.1929 |
91
+ | No log | 1.7778 | 80 | 1.3553 | 0.0 | 1.3553 | 1.1642 |
92
+ | No log | 1.8222 | 82 | 1.3527 | 0.0 | 1.3527 | 1.1631 |
93
+ | No log | 1.8667 | 84 | 1.2124 | 0.0 | 1.2124 | 1.1011 |
94
+ | No log | 1.9111 | 86 | 1.1366 | 0.0 | 1.1366 | 1.0661 |
95
+ | No log | 1.9556 | 88 | 1.1698 | 0.0016 | 1.1698 | 1.0816 |
96
+ | No log | 2.0 | 90 | 1.2174 | 0.0298 | 1.2174 | 1.1034 |
97
+ | No log | 2.0444 | 92 | 1.1943 | 0.0065 | 1.1943 | 1.0928 |
98
+ | No log | 2.0889 | 94 | 1.3236 | 0.0298 | 1.3236 | 1.1505 |
99
+ | No log | 2.1333 | 96 | 1.4890 | 0.0279 | 1.4890 | 1.2203 |
100
+ | No log | 2.1778 | 98 | 1.4975 | 0.0279 | 1.4975 | 1.2237 |
101
+ | No log | 2.2222 | 100 | 1.2778 | 0.0298 | 1.2778 | 1.1304 |
102
+ | No log | 2.2667 | 102 | 1.1577 | 0.0610 | 1.1577 | 1.0760 |
103
+ | No log | 2.3111 | 104 | 1.1609 | 0.0937 | 1.1609 | 1.0774 |
104
+ | No log | 2.3556 | 106 | 1.3082 | 0.0610 | 1.3082 | 1.1438 |
105
+ | No log | 2.4 | 108 | 1.1645 | -0.0101 | 1.1645 | 1.0791 |
106
+ | No log | 2.4444 | 110 | 0.9901 | -0.0200 | 0.9901 | 0.9950 |
107
+ | No log | 2.4889 | 112 | 1.0211 | 0.0089 | 1.0211 | 1.0105 |
108
+ | No log | 2.5333 | 114 | 1.1197 | -0.0638 | 1.1197 | 1.0581 |
109
+ | No log | 2.5778 | 116 | 1.2420 | -0.0067 | 1.2420 | 1.1144 |
110
+ | No log | 2.6222 | 118 | 1.3571 | -0.0399 | 1.3571 | 1.1650 |
111
+ | No log | 2.6667 | 120 | 1.1483 | -0.0331 | 1.1483 | 1.0716 |
112
+ | No log | 2.7111 | 122 | 0.9710 | 0.0377 | 0.9710 | 0.9854 |
113
+ | No log | 2.7556 | 124 | 1.0238 | 0.0068 | 1.0238 | 1.0118 |
114
+ | No log | 2.8 | 126 | 1.2901 | -0.0610 | 1.2901 | 1.1358 |
115
+ | No log | 2.8444 | 128 | 1.4083 | -0.1211 | 1.4083 | 1.1867 |
116
+ | No log | 2.8889 | 130 | 1.1137 | -0.0526 | 1.1137 | 1.0553 |
117
+ | No log | 2.9333 | 132 | 0.9132 | -0.1747 | 0.9132 | 0.9556 |
118
+ | No log | 2.9778 | 134 | 0.9658 | -0.0766 | 0.9658 | 0.9828 |
119
+ | No log | 3.0222 | 136 | 1.3832 | -0.1207 | 1.3832 | 1.1761 |
120
+ | No log | 3.0667 | 138 | 1.6500 | -0.0367 | 1.6500 | 1.2845 |
121
+ | No log | 3.1111 | 140 | 1.3660 | -0.1205 | 1.3660 | 1.1688 |
122
+ | No log | 3.1556 | 142 | 1.0934 | -0.0799 | 1.0934 | 1.0456 |
123
+ | No log | 3.2 | 144 | 0.9983 | -0.1394 | 0.9983 | 0.9991 |
124
+ | No log | 3.2444 | 146 | 0.9682 | -0.1994 | 0.9682 | 0.9840 |
125
+ | No log | 3.2889 | 148 | 1.0200 | 0.0831 | 1.0200 | 1.0100 |
126
+ | No log | 3.3333 | 150 | 1.3874 | -0.0620 | 1.3874 | 1.1779 |
127
+ | No log | 3.3778 | 152 | 1.4977 | -0.0655 | 1.4977 | 1.2238 |
128
+ | No log | 3.4222 | 154 | 1.1348 | -0.0855 | 1.1348 | 1.0653 |
129
+ | No log | 3.4667 | 156 | 0.8821 | -0.0287 | 0.8821 | 0.9392 |
130
+ | No log | 3.5111 | 158 | 0.8365 | -0.2278 | 0.8365 | 0.9146 |
131
+ | No log | 3.5556 | 160 | 0.8966 | 0.0129 | 0.8966 | 0.9469 |
132
+ | No log | 3.6 | 162 | 1.0100 | 0.0260 | 1.0100 | 1.0050 |
133
+ | No log | 3.6444 | 164 | 1.0432 | -0.0138 | 1.0432 | 1.0214 |
134
+ | No log | 3.6889 | 166 | 1.0857 | -0.0409 | 1.0857 | 1.0420 |
135
+ | No log | 3.7333 | 168 | 1.2380 | -0.1148 | 1.2380 | 1.1127 |
136
+ | No log | 3.7778 | 170 | 1.2348 | -0.1148 | 1.2348 | 1.1112 |
137
+ | No log | 3.8222 | 172 | 1.0722 | -0.1605 | 1.0722 | 1.0355 |
138
+ | No log | 3.8667 | 174 | 1.0411 | -0.0812 | 1.0411 | 1.0204 |
139
+ | No log | 3.9111 | 176 | 1.1826 | -0.1184 | 1.1826 | 1.0875 |
140
+ | No log | 3.9556 | 178 | 1.4610 | -0.0319 | 1.4610 | 1.2087 |
141
+ | No log | 4.0 | 180 | 1.2737 | -0.1196 | 1.2737 | 1.1286 |
142
+ | No log | 4.0444 | 182 | 0.9823 | -0.0390 | 0.9823 | 0.9911 |
143
+ | No log | 4.0889 | 184 | 0.9664 | -0.0801 | 0.9664 | 0.9831 |
144
+ | No log | 4.1333 | 186 | 1.0647 | -0.0459 | 1.0647 | 1.0318 |
145
+ | No log | 4.1778 | 188 | 0.9969 | -0.1259 | 0.9969 | 0.9984 |
146
+ | No log | 4.2222 | 190 | 0.9392 | -0.1668 | 0.9392 | 0.9691 |
147
+ | No log | 4.2667 | 192 | 0.9222 | -0.1690 | 0.9222 | 0.9603 |
148
+ | No log | 4.3111 | 194 | 0.9077 | -0.1168 | 0.9077 | 0.9527 |
149
+ | No log | 4.3556 | 196 | 0.9824 | -0.2511 | 0.9824 | 0.9911 |
150
+ | No log | 4.4 | 198 | 1.0798 | -0.0870 | 1.0798 | 1.0392 |
151
+ | No log | 4.4444 | 200 | 1.0211 | -0.1688 | 1.0211 | 1.0105 |
152
+ | No log | 4.4889 | 202 | 0.9200 | -0.2219 | 0.9200 | 0.9592 |
153
+ | No log | 4.5333 | 204 | 0.8945 | -0.1675 | 0.8945 | 0.9458 |
154
+ | No log | 4.5778 | 206 | 0.9463 | -0.1730 | 0.9463 | 0.9728 |
155
+ | No log | 4.6222 | 208 | 1.1476 | 0.0537 | 1.1476 | 1.0713 |
156
+ | No log | 4.6667 | 210 | 1.3094 | -0.0319 | 1.3094 | 1.1443 |
157
+ | No log | 4.7111 | 212 | 1.0968 | 0.0152 | 1.0968 | 1.0473 |
158
+ | No log | 4.7556 | 214 | 0.8963 | -0.0228 | 0.8963 | 0.9467 |
159
+ | No log | 4.8 | 216 | 0.9317 | -0.1588 | 0.9317 | 0.9652 |
160
+ | No log | 4.8444 | 218 | 0.9531 | -0.1163 | 0.9531 | 0.9763 |
161
+ | No log | 4.8889 | 220 | 0.9802 | -0.1140 | 0.9802 | 0.9901 |
162
+ | No log | 4.9333 | 222 | 1.1647 | 0.0481 | 1.1647 | 1.0792 |
163
+ | No log | 4.9778 | 224 | 1.3476 | -0.0647 | 1.3476 | 1.1609 |
164
+ | No log | 5.0222 | 226 | 1.3438 | -0.0647 | 1.3438 | 1.1592 |
165
+ | No log | 5.0667 | 228 | 1.1363 | -0.0211 | 1.1363 | 1.0660 |
166
+ | No log | 5.1111 | 230 | 0.9138 | -0.0686 | 0.9138 | 0.9559 |
167
+ | No log | 5.1556 | 232 | 0.8797 | -0.0091 | 0.8797 | 0.9379 |
168
+ | No log | 5.2 | 234 | 0.8528 | -0.0091 | 0.8528 | 0.9235 |
169
+ | No log | 5.2444 | 236 | 0.8975 | -0.1701 | 0.8975 | 0.9473 |
170
+ | No log | 5.2889 | 238 | 0.9686 | -0.1261 | 0.9686 | 0.9842 |
171
+ | No log | 5.3333 | 240 | 0.9922 | -0.1676 | 0.9922 | 0.9961 |
172
+ | No log | 5.3778 | 242 | 0.9976 | -0.1501 | 0.9976 | 0.9988 |
173
+ | No log | 5.4222 | 244 | 1.0122 | -0.1219 | 1.0122 | 1.0061 |
174
+ | No log | 5.4667 | 246 | 1.0253 | -0.2346 | 1.0253 | 1.0126 |
175
+ | No log | 5.5111 | 248 | 0.9428 | -0.1939 | 0.9428 | 0.9710 |
176
+ | No log | 5.5556 | 250 | 0.9121 | -0.1172 | 0.9121 | 0.9550 |
177
+ | No log | 5.6 | 252 | 0.9633 | -0.0790 | 0.9633 | 0.9815 |
178
+ | No log | 5.6444 | 254 | 1.0218 | -0.0852 | 1.0218 | 1.0108 |
179
+ | No log | 5.6889 | 256 | 0.9994 | -0.1257 | 0.9994 | 0.9997 |
180
+ | No log | 5.7333 | 258 | 1.0007 | -0.1257 | 1.0007 | 1.0004 |
181
+ | No log | 5.7778 | 260 | 0.9231 | -0.0753 | 0.9231 | 0.9608 |
182
+ | No log | 5.8222 | 262 | 0.9303 | -0.1233 | 0.9303 | 0.9645 |
183
+ | No log | 5.8667 | 264 | 0.9906 | -0.0658 | 0.9906 | 0.9953 |
184
+ | No log | 5.9111 | 266 | 1.0737 | -0.1623 | 1.0737 | 1.0362 |
185
+ | No log | 5.9556 | 268 | 1.0438 | -0.1708 | 1.0438 | 1.0217 |
186
+ | No log | 6.0 | 270 | 1.0702 | -0.0425 | 1.0702 | 1.0345 |
187
+ | No log | 6.0444 | 272 | 0.9991 | 0.0017 | 0.9991 | 0.9995 |
188
+ | No log | 6.0889 | 274 | 0.9122 | -0.0766 | 0.9122 | 0.9551 |
189
+ | No log | 6.1333 | 276 | 0.9079 | -0.0252 | 0.9079 | 0.9528 |
190
+ | No log | 6.1778 | 278 | 1.0981 | -0.0441 | 1.0981 | 1.0479 |
191
+ | No log | 6.2222 | 280 | 1.1755 | -0.0496 | 1.1755 | 1.0842 |
192
+ | No log | 6.2667 | 282 | 1.1364 | -0.0832 | 1.1364 | 1.0660 |
193
+ | No log | 6.3111 | 284 | 0.9594 | 0.0095 | 0.9594 | 0.9795 |
194
+ | No log | 6.3556 | 286 | 0.8870 | -0.0252 | 0.8870 | 0.9418 |
195
+ | No log | 6.4 | 288 | 0.9110 | -0.0309 | 0.9110 | 0.9545 |
196
+ | No log | 6.4444 | 290 | 1.1059 | -0.0877 | 1.1059 | 1.0516 |
197
+ | No log | 6.4889 | 292 | 1.2185 | -0.0586 | 1.2185 | 1.1039 |
198
+ | No log | 6.5333 | 294 | 1.1050 | -0.0182 | 1.1050 | 1.0512 |
199
+ | No log | 6.5778 | 296 | 0.8960 | 0.0129 | 0.8960 | 0.9466 |
200
+ | No log | 6.6222 | 298 | 0.8515 | -0.0766 | 0.8515 | 0.9228 |
201
+ | No log | 6.6667 | 300 | 0.9236 | 0.0129 | 0.9236 | 0.9611 |
202
+ | No log | 6.7111 | 302 | 1.0960 | -0.0500 | 1.0960 | 1.0469 |
203
+ | No log | 6.7556 | 304 | 1.0758 | -0.0471 | 1.0758 | 1.0372 |
204
+ | No log | 6.8 | 306 | 0.9712 | -0.0390 | 0.9712 | 0.9855 |
205
+ | No log | 6.8444 | 308 | 0.8442 | -0.0766 | 0.8442 | 0.9188 |
206
+ | No log | 6.8889 | 310 | 0.8493 | -0.0766 | 0.8493 | 0.9216 |
207
+ | No log | 6.9333 | 312 | 0.9819 | -0.0390 | 0.9819 | 0.9909 |
208
+ | No log | 6.9778 | 314 | 1.2440 | -0.0575 | 1.2440 | 1.1153 |
209
+ | No log | 7.0222 | 316 | 1.2166 | -0.0575 | 1.2166 | 1.1030 |
210
+ | No log | 7.0667 | 318 | 1.0627 | -0.0456 | 1.0627 | 1.0309 |
211
+ | No log | 7.1111 | 320 | 0.9583 | -0.0495 | 0.9583 | 0.9789 |
212
+ | No log | 7.1556 | 322 | 0.9730 | -0.1077 | 0.9730 | 0.9864 |
213
+ | No log | 7.2 | 324 | 0.9711 | -0.0744 | 0.9711 | 0.9854 |
214
+ | No log | 7.2444 | 326 | 0.9831 | -0.0970 | 0.9831 | 0.9915 |
215
+ | No log | 7.2889 | 328 | 1.0695 | -0.0797 | 1.0695 | 1.0342 |
216
+ | No log | 7.3333 | 330 | 0.9915 | -0.0008 | 0.9915 | 0.9958 |
217
+ | No log | 7.3778 | 332 | 0.8451 | 0.0159 | 0.8451 | 0.9193 |
218
+ | No log | 7.4222 | 334 | 0.8133 | 0.0225 | 0.8133 | 0.9018 |
219
+ | No log | 7.4667 | 336 | 0.8312 | -0.0331 | 0.8312 | 0.9117 |
220
+ | No log | 7.5111 | 338 | 0.7853 | -0.0711 | 0.7853 | 0.8862 |
221
+ | No log | 7.5556 | 340 | 0.7749 | -0.1230 | 0.7749 | 0.8803 |
222
+ | No log | 7.6 | 342 | 0.8495 | -0.0331 | 0.8495 | 0.9217 |
223
+ | No log | 7.6444 | 344 | 0.9488 | -0.0801 | 0.9488 | 0.9741 |
224
+ | No log | 7.6889 | 346 | 0.9641 | -0.0801 | 0.9641 | 0.9819 |
225
+ | No log | 7.7333 | 348 | 0.9717 | -0.0008 | 0.9717 | 0.9857 |
226
+ | No log | 7.7778 | 350 | 0.9073 | -0.0331 | 0.9073 | 0.9525 |
227
+ | No log | 7.8222 | 352 | 0.8278 | 0.0723 | 0.8278 | 0.9098 |
228
+ | No log | 7.8667 | 354 | 0.8244 | 0.0723 | 0.8244 | 0.9080 |
229
+ | No log | 7.9111 | 356 | 0.8779 | 0.0152 | 0.8779 | 0.9369 |
230
+ | No log | 7.9556 | 358 | 0.9241 | 0.0956 | 0.9241 | 0.9613 |
231
+ | No log | 8.0 | 360 | 0.9433 | 0.0913 | 0.9433 | 0.9712 |
232
+ | No log | 8.0444 | 362 | 1.0426 | -0.0504 | 1.0426 | 1.0211 |
233
+ | No log | 8.0889 | 364 | 1.0765 | -0.0518 | 1.0765 | 1.0376 |
234
+ | No log | 8.1333 | 366 | 1.0406 | -0.0518 | 1.0406 | 1.0201 |
235
+ | No log | 8.1778 | 368 | 0.9153 | 0.0099 | 0.9153 | 0.9567 |
236
+ | No log | 8.2222 | 370 | 0.8574 | 0.0282 | 0.8574 | 0.9260 |
237
+ | No log | 8.2667 | 372 | 0.8583 | 0.0338 | 0.8583 | 0.9265 |
238
+ | No log | 8.3111 | 374 | 0.8897 | 0.0214 | 0.8897 | 0.9432 |
239
+ | No log | 8.3556 | 376 | 0.9842 | -0.1257 | 0.9842 | 0.9921 |
240
+ | No log | 8.4 | 378 | 0.9781 | -0.1257 | 0.9781 | 0.9890 |
241
+ | No log | 8.4444 | 380 | 0.9226 | -0.0778 | 0.9226 | 0.9605 |
242
+ | No log | 8.4889 | 382 | 0.9197 | -0.0228 | 0.9197 | 0.9590 |
243
+ | No log | 8.5333 | 384 | 0.9495 | -0.0766 | 0.9495 | 0.9744 |
244
+ | No log | 8.5778 | 386 | 0.9993 | -0.1257 | 0.9993 | 0.9997 |
245
+ | No log | 8.6222 | 388 | 1.0017 | -0.0842 | 1.0017 | 1.0008 |
246
+ | No log | 8.6667 | 390 | 1.0461 | -0.1261 | 1.0461 | 1.0228 |
247
+ | No log | 8.7111 | 392 | 0.9679 | -0.0842 | 0.9679 | 0.9838 |
248
+ | No log | 8.7556 | 394 | 0.9279 | -0.0766 | 0.9279 | 0.9633 |
249
+ | No log | 8.8 | 396 | 0.9443 | -0.0252 | 0.9443 | 0.9717 |
250
+ | No log | 8.8444 | 398 | 0.9768 | -0.0316 | 0.9768 | 0.9883 |
251
+ | No log | 8.8889 | 400 | 1.0476 | -0.0391 | 1.0476 | 1.0235 |
252
+ | No log | 8.9333 | 402 | 1.1371 | -0.0440 | 1.1371 | 1.0663 |
253
+ | No log | 8.9778 | 404 | 1.0808 | -0.0409 | 1.0808 | 1.0396 |
254
+ | No log | 9.0222 | 406 | 1.0027 | -0.0755 | 1.0027 | 1.0013 |
255
+ | No log | 9.0667 | 408 | 1.0175 | -0.0778 | 1.0175 | 1.0087 |
256
+ | No log | 9.1111 | 410 | 1.0237 | -0.0391 | 1.0237 | 1.0118 |
257
+ | No log | 9.1556 | 412 | 0.9919 | -0.0391 | 0.9919 | 0.9959 |
258
+ | No log | 9.2 | 414 | 0.9532 | -0.0274 | 0.9532 | 0.9763 |
259
+ | No log | 9.2444 | 416 | 0.9055 | -0.0218 | 0.9055 | 0.9516 |
260
+ | No log | 9.2889 | 418 | 0.8658 | -0.0228 | 0.8658 | 0.9305 |
261
+ | No log | 9.3333 | 420 | 0.8592 | -0.0766 | 0.8592 | 0.9269 |
262
+ | No log | 9.3778 | 422 | 0.8439 | -0.0753 | 0.8439 | 0.9186 |
263
+ | No log | 9.4222 | 424 | 0.8592 | -0.0725 | 0.8592 | 0.9270 |
264
+ | No log | 9.4667 | 426 | 0.9461 | -0.1246 | 0.9461 | 0.9727 |
265
+ | No log | 9.5111 | 428 | 1.0170 | -0.1131 | 1.0170 | 1.0085 |
266
+ | No log | 9.5556 | 430 | 1.0610 | -0.1088 | 1.0610 | 1.0300 |
267
+ | No log | 9.6 | 432 | 1.1586 | -0.1162 | 1.1586 | 1.0764 |
268
+ | No log | 9.6444 | 434 | 1.2284 | -0.0513 | 1.2284 | 1.1083 |
269
+ | No log | 9.6889 | 436 | 1.2235 | -0.0877 | 1.2235 | 1.1061 |
270
+ | No log | 9.7333 | 438 | 1.0638 | -0.0474 | 1.0638 | 1.0314 |
271
+ | No log | 9.7778 | 440 | 0.9141 | -0.2116 | 0.9141 | 0.9561 |
272
+ | No log | 9.8222 | 442 | 0.9068 | -0.2463 | 0.9068 | 0.9523 |
273
+ | No log | 9.8667 | 444 | 0.9166 | -0.1211 | 0.9166 | 0.9574 |
274
+ | No log | 9.9111 | 446 | 0.8920 | -0.2564 | 0.8920 | 0.9445 |
275
+ | No log | 9.9556 | 448 | 0.8754 | -0.2201 | 0.8754 | 0.9356 |
276
+ | No log | 10.0 | 450 | 0.9258 | 0.0043 | 0.9258 | 0.9622 |
277
+ | No log | 10.0444 | 452 | 1.0316 | -0.0143 | 1.0316 | 1.0157 |
278
+ | No log | 10.0889 | 454 | 1.1101 | -0.0532 | 1.1101 | 1.0536 |
279
+ | No log | 10.1333 | 456 | 1.1636 | -0.0885 | 1.1636 | 1.0787 |
280
+ | No log | 10.1778 | 458 | 1.0551 | -0.0056 | 1.0551 | 1.0272 |
281
+ | No log | 10.2222 | 460 | 0.9770 | -0.1644 | 0.9770 | 0.9884 |
282
+ | No log | 10.2667 | 462 | 0.9530 | -0.1121 | 0.9530 | 0.9762 |
283
+ | No log | 10.3111 | 464 | 1.0057 | -0.1509 | 1.0057 | 1.0028 |
284
+ | No log | 10.3556 | 466 | 1.0619 | -0.1390 | 1.0619 | 1.0305 |
285
+ | No log | 10.4 | 468 | 1.1306 | -0.0378 | 1.1306 | 1.0633 |
286
+ | No log | 10.4444 | 470 | 1.1506 | -0.1224 | 1.1506 | 1.0726 |
287
+ | No log | 10.4889 | 472 | 1.0578 | -0.0442 | 1.0578 | 1.0285 |
288
+ | No log | 10.5333 | 474 | 0.9183 | -0.1249 | 0.9183 | 0.9583 |
289
+ | No log | 10.5778 | 476 | 0.8550 | -0.0240 | 0.8550 | 0.9247 |
290
+ | No log | 10.6222 | 478 | 0.8489 | -0.0753 | 0.8489 | 0.9214 |
291
+ | No log | 10.6667 | 480 | 0.8665 | -0.0778 | 0.8665 | 0.9309 |
292
+ | No log | 10.7111 | 482 | 0.9333 | -0.0425 | 0.9333 | 0.9661 |
293
+ | No log | 10.7556 | 484 | 0.9803 | -0.0056 | 0.9803 | 0.9901 |
294
+ | No log | 10.8 | 486 | 1.0848 | 0.0304 | 1.0848 | 1.0415 |
295
+ | No log | 10.8444 | 488 | 1.1011 | 0.0304 | 1.1011 | 1.0494 |
296
+ | No log | 10.8889 | 490 | 1.0290 | 0.0200 | 1.0290 | 1.0144 |
297
+ | No log | 10.9333 | 492 | 1.0058 | -0.0491 | 1.0058 | 1.0029 |
298
+ | No log | 10.9778 | 494 | 1.0208 | -0.0630 | 1.0208 | 1.0104 |
299
+ | No log | 11.0222 | 496 | 1.0882 | 0.0719 | 1.0882 | 1.0431 |
300
+ | No log | 11.0667 | 498 | 1.0824 | -0.0101 | 1.0824 | 1.0404 |
301
+ | 0.3428 | 11.1111 | 500 | 1.0190 | 0.0316 | 1.0190 | 1.0095 |
302
+ | 0.3428 | 11.1556 | 502 | 0.9418 | -0.1135 | 0.9418 | 0.9705 |
303
+ | 0.3428 | 11.2 | 504 | 0.9130 | -0.1184 | 0.9130 | 0.9555 |
304
+ | 0.3428 | 11.2444 | 506 | 0.9036 | -0.0778 | 0.9036 | 0.9506 |
305
+ | 0.3428 | 11.2889 | 508 | 0.9194 | -0.0790 | 0.9194 | 0.9588 |
306
+ | 0.3428 | 11.3333 | 510 | 0.9567 | 0.0456 | 0.9567 | 0.9781 |
307
+ | 0.3428 | 11.3778 | 512 | 0.9943 | 0.0016 | 0.9943 | 0.9972 |
308
+ | 0.3428 | 11.4222 | 514 | 0.9831 | -0.0336 | 0.9831 | 0.9915 |
309
+ | 0.3428 | 11.4667 | 516 | 0.9544 | -0.0978 | 0.9544 | 0.9769 |
310
+ | 0.3428 | 11.5111 | 518 | 0.9438 | -0.0533 | 0.9438 | 0.9715 |
311
+ | 0.3428 | 11.5556 | 520 | 0.9889 | -0.0336 | 0.9889 | 0.9944 |
312
+
313
+
314
+ ### Framework versions
315
+
316
+ - Transformers 4.44.2
317
+ - Pytorch 2.4.0+cu118
318
+ - Datasets 2.21.0
319
+ - 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 sha256:690711ab2d85f768ac8b76071d75169c0663f4d9cbe0380719a47cc960d5c21f
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b791b5cccca8a7353656140f8b9976fe2b97c0043af9ad62c6a22485a6b06af6
3
+ size 5304