Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k14_task3_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
010e274
·
verified ·
1 Parent(s): 716f94d

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +331 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,331 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_k13_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_run1_AugV5_k13_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: 0.8513
19
+ - Qwk: -0.0690
20
+ - Mse: 0.8513
21
+ - Rmse: 0.9227
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 | 0.0606 | 2 | 3.6736 | 0.0048 | 3.6736 | 1.9167 |
53
+ | No log | 0.1212 | 4 | 1.7469 | 0.0943 | 1.7469 | 1.3217 |
54
+ | No log | 0.1818 | 6 | 1.0541 | 0.0912 | 1.0541 | 1.0267 |
55
+ | No log | 0.2424 | 8 | 1.1992 | 0.0349 | 1.1992 | 1.0951 |
56
+ | No log | 0.3030 | 10 | 1.0208 | 0.0623 | 1.0208 | 1.0104 |
57
+ | No log | 0.3636 | 12 | 0.7325 | 0.0714 | 0.7325 | 0.8559 |
58
+ | No log | 0.4242 | 14 | 0.7086 | 0.0807 | 0.7086 | 0.8418 |
59
+ | No log | 0.4848 | 16 | 0.9212 | 0.0873 | 0.9212 | 0.9598 |
60
+ | No log | 0.5455 | 18 | 0.8457 | 0.0346 | 0.8457 | 0.9196 |
61
+ | No log | 0.6061 | 20 | 0.9808 | -0.0133 | 0.9808 | 0.9904 |
62
+ | No log | 0.6667 | 22 | 1.2189 | -0.0234 | 1.2189 | 1.1040 |
63
+ | No log | 0.7273 | 24 | 1.3556 | -0.0247 | 1.3556 | 1.1643 |
64
+ | No log | 0.7879 | 26 | 1.4957 | -0.0247 | 1.4957 | 1.2230 |
65
+ | No log | 0.8485 | 28 | 1.3123 | -0.0247 | 1.3123 | 1.1455 |
66
+ | No log | 0.9091 | 30 | 0.9156 | -0.0617 | 0.9156 | 0.9569 |
67
+ | No log | 0.9697 | 32 | 0.7125 | -0.0035 | 0.7125 | 0.8441 |
68
+ | No log | 1.0303 | 34 | 0.8743 | 0.0786 | 0.8743 | 0.9350 |
69
+ | No log | 1.0909 | 36 | 1.3676 | -0.0751 | 1.3676 | 1.1694 |
70
+ | No log | 1.1515 | 38 | 1.2008 | -0.0744 | 1.2008 | 1.0958 |
71
+ | No log | 1.2121 | 40 | 0.7763 | 0.1691 | 0.7763 | 0.8811 |
72
+ | No log | 1.2727 | 42 | 0.6841 | -0.0035 | 0.6841 | 0.8271 |
73
+ | No log | 1.3333 | 44 | 0.8009 | 0.2180 | 0.8009 | 0.8949 |
74
+ | No log | 1.3939 | 46 | 1.2216 | -0.0751 | 1.2216 | 1.1053 |
75
+ | No log | 1.4545 | 48 | 0.9902 | -0.0301 | 0.9902 | 0.9951 |
76
+ | No log | 1.5152 | 50 | 0.7109 | -0.0571 | 0.7109 | 0.8431 |
77
+ | No log | 1.5758 | 52 | 0.7452 | 0.0 | 0.7452 | 0.8633 |
78
+ | No log | 1.6364 | 54 | 0.7071 | 0.0 | 0.7071 | 0.8409 |
79
+ | No log | 1.6970 | 56 | 0.7002 | 0.0 | 0.7002 | 0.8368 |
80
+ | No log | 1.7576 | 58 | 1.1330 | -0.0479 | 1.1330 | 1.0644 |
81
+ | No log | 1.8182 | 60 | 1.8708 | 0.0 | 1.8708 | 1.3678 |
82
+ | No log | 1.8788 | 62 | 2.3058 | 0.0591 | 2.3058 | 1.5185 |
83
+ | No log | 1.9394 | 64 | 2.2367 | 0.0 | 2.2367 | 1.4956 |
84
+ | No log | 2.0 | 66 | 2.1252 | -0.0247 | 2.1252 | 1.4578 |
85
+ | No log | 2.0606 | 68 | 1.7669 | -0.0234 | 1.7669 | 1.3292 |
86
+ | No log | 2.1212 | 70 | 1.2728 | -0.0490 | 1.2728 | 1.1282 |
87
+ | No log | 2.1818 | 72 | 0.8634 | 0.0287 | 0.8634 | 0.9292 |
88
+ | No log | 2.2424 | 74 | 0.7659 | 0.1318 | 0.7659 | 0.8752 |
89
+ | No log | 2.3030 | 76 | 0.8384 | 0.1395 | 0.8384 | 0.9156 |
90
+ | No log | 2.3636 | 78 | 1.2176 | -0.1011 | 1.2176 | 1.1034 |
91
+ | No log | 2.4242 | 80 | 2.1481 | -0.0278 | 2.1481 | 1.4656 |
92
+ | No log | 2.4848 | 82 | 2.6658 | 0.0298 | 2.6658 | 1.6327 |
93
+ | No log | 2.5455 | 84 | 2.0168 | -0.0500 | 2.0168 | 1.4202 |
94
+ | No log | 2.6061 | 86 | 1.4866 | -0.0247 | 1.4866 | 1.2193 |
95
+ | No log | 2.6667 | 88 | 1.2210 | -0.0466 | 1.2210 | 1.1050 |
96
+ | No log | 2.7273 | 90 | 1.0657 | -0.1538 | 1.0657 | 1.0324 |
97
+ | No log | 2.7879 | 92 | 0.9738 | -0.1245 | 0.9738 | 0.9868 |
98
+ | No log | 2.8485 | 94 | 0.8630 | -0.0031 | 0.8630 | 0.9290 |
99
+ | No log | 2.9091 | 96 | 0.8562 | -0.0008 | 0.8562 | 0.9253 |
100
+ | No log | 2.9697 | 98 | 0.7471 | 0.0355 | 0.7471 | 0.8643 |
101
+ | No log | 3.0303 | 100 | 0.8751 | 0.1064 | 0.8751 | 0.9354 |
102
+ | No log | 3.0909 | 102 | 1.0165 | -0.0200 | 1.0165 | 1.0082 |
103
+ | No log | 3.1515 | 104 | 0.7625 | 0.0282 | 0.7625 | 0.8732 |
104
+ | No log | 3.2121 | 106 | 0.7475 | 0.0479 | 0.7475 | 0.8646 |
105
+ | No log | 3.2727 | 108 | 0.7740 | -0.0967 | 0.7740 | 0.8798 |
106
+ | No log | 3.3333 | 110 | 0.7814 | 0.0395 | 0.7814 | 0.8839 |
107
+ | No log | 3.3939 | 112 | 0.8048 | 0.0318 | 0.8048 | 0.8971 |
108
+ | No log | 3.4545 | 114 | 1.3280 | -0.0319 | 1.3280 | 1.1524 |
109
+ | No log | 3.5152 | 116 | 1.7283 | -0.0422 | 1.7283 | 1.3147 |
110
+ | No log | 3.5758 | 118 | 1.1934 | -0.0575 | 1.1934 | 1.0924 |
111
+ | No log | 3.6364 | 120 | 0.7599 | -0.0033 | 0.7599 | 0.8717 |
112
+ | No log | 3.6970 | 122 | 0.7708 | -0.1067 | 0.7708 | 0.8779 |
113
+ | No log | 3.7576 | 124 | 0.7589 | -0.0571 | 0.7589 | 0.8711 |
114
+ | No log | 3.8182 | 126 | 1.0157 | -0.0456 | 1.0157 | 1.0078 |
115
+ | No log | 3.8788 | 128 | 1.5689 | 0.0162 | 1.5689 | 1.2525 |
116
+ | No log | 3.9394 | 130 | 1.6987 | 0.0093 | 1.6987 | 1.3033 |
117
+ | No log | 4.0 | 132 | 1.2487 | -0.0571 | 1.2487 | 1.1175 |
118
+ | No log | 4.0606 | 134 | 0.8520 | -0.1191 | 0.8520 | 0.9230 |
119
+ | No log | 4.1212 | 136 | 0.9168 | -0.0376 | 0.9168 | 0.9575 |
120
+ | No log | 4.1818 | 138 | 0.8407 | -0.1131 | 0.8407 | 0.9169 |
121
+ | No log | 4.2424 | 140 | 0.8285 | 0.0323 | 0.8285 | 0.9102 |
122
+ | No log | 4.3030 | 142 | 0.8340 | 0.0570 | 0.8340 | 0.9132 |
123
+ | No log | 4.3636 | 144 | 0.8710 | -0.0442 | 0.8710 | 0.9333 |
124
+ | No log | 4.4242 | 146 | 0.8228 | 0.0173 | 0.8228 | 0.9071 |
125
+ | No log | 4.4848 | 148 | 0.8122 | -0.0091 | 0.8122 | 0.9012 |
126
+ | No log | 4.5455 | 150 | 1.0702 | -0.0456 | 1.0702 | 1.0345 |
127
+ | No log | 4.6061 | 152 | 0.9406 | 0.0016 | 0.9406 | 0.9699 |
128
+ | No log | 4.6667 | 154 | 0.7552 | -0.0473 | 0.7552 | 0.8691 |
129
+ | No log | 4.7273 | 156 | 0.7800 | -0.1001 | 0.7800 | 0.8832 |
130
+ | No log | 4.7879 | 158 | 0.7194 | 0.0 | 0.7194 | 0.8482 |
131
+ | No log | 4.8485 | 160 | 0.8910 | 0.1291 | 0.8910 | 0.9439 |
132
+ | No log | 4.9091 | 162 | 1.1826 | -0.0269 | 1.1826 | 1.0875 |
133
+ | No log | 4.9697 | 164 | 0.9595 | 0.1107 | 0.9595 | 0.9796 |
134
+ | No log | 5.0303 | 166 | 0.7371 | 0.0759 | 0.7371 | 0.8586 |
135
+ | No log | 5.0909 | 168 | 0.7016 | -0.0033 | 0.7016 | 0.8376 |
136
+ | No log | 5.1515 | 170 | 0.7373 | 0.0814 | 0.7373 | 0.8586 |
137
+ | No log | 5.2121 | 172 | 0.9565 | 0.1445 | 0.9565 | 0.9780 |
138
+ | No log | 5.2727 | 174 | 1.0657 | 0.1311 | 1.0657 | 1.0323 |
139
+ | No log | 5.3333 | 176 | 0.8589 | -0.0355 | 0.8589 | 0.9268 |
140
+ | No log | 5.3939 | 178 | 0.7575 | -0.0541 | 0.7575 | 0.8703 |
141
+ | No log | 5.4545 | 180 | 0.8338 | -0.0121 | 0.8338 | 0.9131 |
142
+ | No log | 5.5152 | 182 | 0.8267 | -0.1474 | 0.8267 | 0.9092 |
143
+ | No log | 5.5758 | 184 | 0.7688 | 0.0089 | 0.7688 | 0.8768 |
144
+ | No log | 5.6364 | 186 | 0.9301 | -0.0861 | 0.9301 | 0.9644 |
145
+ | No log | 5.6970 | 188 | 1.1398 | -0.0909 | 1.1398 | 1.0676 |
146
+ | No log | 5.7576 | 190 | 0.9141 | -0.0809 | 0.9141 | 0.9561 |
147
+ | No log | 5.8182 | 192 | 0.7624 | 0.0479 | 0.7624 | 0.8731 |
148
+ | No log | 5.8788 | 194 | 0.7702 | 0.0436 | 0.7702 | 0.8776 |
149
+ | No log | 5.9394 | 196 | 0.8365 | 0.0600 | 0.8365 | 0.9146 |
150
+ | No log | 6.0 | 198 | 0.9267 | -0.0373 | 0.9267 | 0.9626 |
151
+ | No log | 6.0606 | 200 | 0.8381 | 0.1573 | 0.8381 | 0.9155 |
152
+ | No log | 6.1212 | 202 | 0.8592 | 0.0392 | 0.8592 | 0.9269 |
153
+ | No log | 6.1818 | 204 | 0.9043 | -0.0289 | 0.9043 | 0.9510 |
154
+ | No log | 6.2424 | 206 | 0.8381 | -0.1298 | 0.8381 | 0.9155 |
155
+ | No log | 6.3030 | 208 | 0.8196 | 0.0269 | 0.8196 | 0.9053 |
156
+ | No log | 6.3636 | 210 | 1.1919 | -0.0558 | 1.1919 | 1.0918 |
157
+ | No log | 6.4242 | 212 | 1.2191 | -0.0571 | 1.2191 | 1.1041 |
158
+ | No log | 6.4848 | 214 | 0.9404 | -0.0809 | 0.9404 | 0.9697 |
159
+ | No log | 6.5455 | 216 | 0.7457 | -0.0493 | 0.7457 | 0.8635 |
160
+ | No log | 6.6061 | 218 | 0.7302 | -0.1001 | 0.7302 | 0.8545 |
161
+ | No log | 6.6667 | 220 | 0.7368 | -0.0032 | 0.7368 | 0.8584 |
162
+ | No log | 6.7273 | 222 | 0.9490 | -0.0818 | 0.9490 | 0.9741 |
163
+ | No log | 6.7879 | 224 | 0.9726 | -0.0456 | 0.9726 | 0.9862 |
164
+ | No log | 6.8485 | 226 | 0.7833 | 0.0732 | 0.7833 | 0.8850 |
165
+ | No log | 6.9091 | 228 | 0.7276 | 0.0094 | 0.7276 | 0.8530 |
166
+ | No log | 6.9697 | 230 | 0.7300 | -0.1067 | 0.7300 | 0.8544 |
167
+ | No log | 7.0303 | 232 | 0.7355 | -0.0499 | 0.7355 | 0.8576 |
168
+ | No log | 7.0909 | 234 | 0.7109 | -0.0551 | 0.7109 | 0.8432 |
169
+ | No log | 7.1515 | 236 | 0.7164 | -0.0033 | 0.7164 | 0.8464 |
170
+ | No log | 7.2121 | 238 | 0.7274 | -0.0541 | 0.7274 | 0.8529 |
171
+ | No log | 7.2727 | 240 | 0.7227 | -0.0551 | 0.7227 | 0.8501 |
172
+ | No log | 7.3333 | 242 | 0.7441 | -0.0451 | 0.7441 | 0.8626 |
173
+ | No log | 7.3939 | 244 | 0.7342 | -0.0551 | 0.7342 | 0.8569 |
174
+ | No log | 7.4545 | 246 | 0.7725 | 0.0863 | 0.7725 | 0.8789 |
175
+ | No log | 7.5152 | 248 | 0.8116 | 0.0723 | 0.8116 | 0.9009 |
176
+ | No log | 7.5758 | 250 | 0.7492 | 0.0436 | 0.7492 | 0.8656 |
177
+ | No log | 7.6364 | 252 | 0.7762 | -0.0551 | 0.7762 | 0.8810 |
178
+ | No log | 7.6970 | 254 | 0.8096 | -0.0551 | 0.8096 | 0.8998 |
179
+ | No log | 7.7576 | 256 | 0.8489 | 0.0436 | 0.8489 | 0.9214 |
180
+ | No log | 7.8182 | 258 | 0.9024 | -0.0643 | 0.9024 | 0.9499 |
181
+ | No log | 7.8788 | 260 | 0.9086 | -0.1271 | 0.9086 | 0.9532 |
182
+ | No log | 7.9394 | 262 | 0.9611 | -0.0016 | 0.9611 | 0.9803 |
183
+ | No log | 8.0 | 264 | 0.9405 | -0.0566 | 0.9405 | 0.9698 |
184
+ | No log | 8.0606 | 266 | 0.9605 | -0.1131 | 0.9605 | 0.9800 |
185
+ | No log | 8.1212 | 268 | 1.0400 | -0.1214 | 1.0400 | 1.0198 |
186
+ | No log | 8.1818 | 270 | 0.9594 | -0.1203 | 0.9594 | 0.9795 |
187
+ | No log | 8.2424 | 272 | 0.8211 | -0.1153 | 0.8211 | 0.9062 |
188
+ | No log | 8.3030 | 274 | 0.7834 | 0.0 | 0.7834 | 0.8851 |
189
+ | No log | 8.3636 | 276 | 0.7928 | -0.0033 | 0.7928 | 0.8904 |
190
+ | No log | 8.4242 | 278 | 0.8399 | -0.1180 | 0.8399 | 0.9165 |
191
+ | No log | 8.4848 | 280 | 0.8648 | -0.0643 | 0.8648 | 0.9299 |
192
+ | No log | 8.5455 | 282 | 0.8885 | 0.0165 | 0.8885 | 0.9426 |
193
+ | No log | 8.6061 | 284 | 0.9744 | -0.0142 | 0.9744 | 0.9871 |
194
+ | No log | 8.6667 | 286 | 0.9912 | 0.0267 | 0.9912 | 0.9956 |
195
+ | No log | 8.7273 | 288 | 0.9116 | 0.0748 | 0.9116 | 0.9548 |
196
+ | No log | 8.7879 | 290 | 0.8904 | 0.0097 | 0.8904 | 0.9436 |
197
+ | No log | 8.8485 | 292 | 1.0948 | -0.0151 | 1.0948 | 1.0463 |
198
+ | No log | 8.9091 | 294 | 1.5216 | -0.1538 | 1.5216 | 1.2335 |
199
+ | No log | 8.9697 | 296 | 1.5008 | -0.0736 | 1.5008 | 1.2251 |
200
+ | No log | 9.0303 | 298 | 1.1821 | -0.0686 | 1.1821 | 1.0872 |
201
+ | No log | 9.0909 | 300 | 0.8899 | -0.0371 | 0.8899 | 0.9433 |
202
+ | No log | 9.1515 | 302 | 0.8016 | -0.0571 | 0.8016 | 0.8953 |
203
+ | No log | 9.2121 | 304 | 0.8192 | -0.0551 | 0.8192 | 0.9051 |
204
+ | No log | 9.2727 | 306 | 0.8433 | 0.0064 | 0.8433 | 0.9183 |
205
+ | No log | 9.3333 | 308 | 0.8547 | 0.0030 | 0.8547 | 0.9245 |
206
+ | No log | 9.3939 | 310 | 0.8749 | -0.1054 | 0.8749 | 0.9354 |
207
+ | No log | 9.4545 | 312 | 0.8581 | -0.1457 | 0.8581 | 0.9263 |
208
+ | No log | 9.5152 | 314 | 0.8135 | -0.1088 | 0.8135 | 0.9020 |
209
+ | No log | 9.5758 | 316 | 0.7710 | -0.1074 | 0.7710 | 0.8781 |
210
+ | No log | 9.6364 | 318 | 0.7648 | -0.1067 | 0.7648 | 0.8745 |
211
+ | No log | 9.6970 | 320 | 0.7779 | -0.0704 | 0.7779 | 0.8820 |
212
+ | No log | 9.7576 | 322 | 0.9057 | -0.0518 | 0.9057 | 0.9517 |
213
+ | No log | 9.8182 | 324 | 1.0504 | 0.0089 | 1.0504 | 1.0249 |
214
+ | No log | 9.8788 | 326 | 0.9623 | 0.0182 | 0.9623 | 0.9810 |
215
+ | No log | 9.9394 | 328 | 0.7903 | -0.0704 | 0.7903 | 0.8890 |
216
+ | No log | 10.0 | 330 | 0.7888 | -0.1001 | 0.7888 | 0.8881 |
217
+ | No log | 10.0606 | 332 | 0.8225 | -0.0881 | 0.8225 | 0.9069 |
218
+ | No log | 10.1212 | 334 | 0.8169 | -0.0407 | 0.8169 | 0.9039 |
219
+ | No log | 10.1818 | 336 | 0.9466 | -0.1169 | 0.9466 | 0.9729 |
220
+ | No log | 10.2424 | 338 | 1.1011 | -0.0885 | 1.1011 | 1.0493 |
221
+ | No log | 10.3030 | 340 | 1.0291 | -0.0468 | 1.0291 | 1.0144 |
222
+ | No log | 10.3636 | 342 | 0.9177 | -0.1004 | 0.9177 | 0.9579 |
223
+ | No log | 10.4242 | 344 | 0.8824 | -0.0187 | 0.8824 | 0.9393 |
224
+ | No log | 10.4848 | 346 | 0.8641 | 0.0187 | 0.8641 | 0.9295 |
225
+ | No log | 10.5455 | 348 | 0.8762 | -0.1191 | 0.8762 | 0.9360 |
226
+ | No log | 10.6061 | 350 | 0.9227 | -0.1614 | 0.9227 | 0.9606 |
227
+ | No log | 10.6667 | 352 | 0.8844 | -0.1200 | 0.8844 | 0.9404 |
228
+ | No log | 10.7273 | 354 | 0.9174 | -0.0842 | 0.9174 | 0.9578 |
229
+ | No log | 10.7879 | 356 | 0.9239 | -0.0842 | 0.9239 | 0.9612 |
230
+ | No log | 10.8485 | 358 | 0.8806 | -0.1197 | 0.8806 | 0.9384 |
231
+ | No log | 10.9091 | 360 | 0.9252 | -0.1203 | 0.9252 | 0.9619 |
232
+ | No log | 10.9697 | 362 | 0.9311 | -0.1609 | 0.9310 | 0.9649 |
233
+ | No log | 11.0303 | 364 | 0.8672 | -0.1180 | 0.8672 | 0.9312 |
234
+ | No log | 11.0909 | 366 | 0.8523 | -0.2221 | 0.8523 | 0.9232 |
235
+ | No log | 11.1515 | 368 | 0.8771 | -0.1682 | 0.8771 | 0.9366 |
236
+ | No log | 11.2121 | 370 | 0.8877 | -0.2221 | 0.8877 | 0.9422 |
237
+ | No log | 11.2727 | 372 | 0.9125 | -0.0704 | 0.9125 | 0.9552 |
238
+ | No log | 11.3333 | 374 | 0.9601 | -0.1197 | 0.9601 | 0.9799 |
239
+ | No log | 11.3939 | 376 | 0.9411 | -0.1191 | 0.9411 | 0.9701 |
240
+ | No log | 11.4545 | 378 | 0.9092 | -0.2048 | 0.9092 | 0.9535 |
241
+ | No log | 11.5152 | 380 | 0.8698 | -0.0550 | 0.8698 | 0.9326 |
242
+ | No log | 11.5758 | 382 | 0.8597 | -0.0595 | 0.8597 | 0.9272 |
243
+ | No log | 11.6364 | 384 | 0.8760 | -0.2048 | 0.8760 | 0.9360 |
244
+ | No log | 11.6970 | 386 | 0.8307 | -0.1116 | 0.8307 | 0.9114 |
245
+ | No log | 11.7576 | 388 | 0.8546 | -0.0718 | 0.8546 | 0.9245 |
246
+ | No log | 11.8182 | 390 | 0.8730 | -0.0391 | 0.8730 | 0.9344 |
247
+ | No log | 11.8788 | 392 | 0.8095 | -0.0718 | 0.8095 | 0.8997 |
248
+ | No log | 11.9394 | 394 | 0.7864 | 0.0061 | 0.7864 | 0.8868 |
249
+ | No log | 12.0 | 396 | 0.8183 | -0.0322 | 0.8183 | 0.9046 |
250
+ | No log | 12.0606 | 398 | 0.7993 | 0.0543 | 0.7993 | 0.8940 |
251
+ | No log | 12.1212 | 400 | 0.8260 | -0.0252 | 0.8260 | 0.9088 |
252
+ | No log | 12.1818 | 402 | 1.0940 | -0.0200 | 1.0940 | 1.0459 |
253
+ | No log | 12.2424 | 404 | 1.2229 | -0.0628 | 1.2229 | 1.1058 |
254
+ | No log | 12.3030 | 406 | 1.0898 | -0.0143 | 1.0898 | 1.0439 |
255
+ | No log | 12.3636 | 408 | 0.8881 | -0.0132 | 0.8881 | 0.9424 |
256
+ | No log | 12.4242 | 410 | 0.8491 | 0.0856 | 0.8491 | 0.9215 |
257
+ | No log | 12.4848 | 412 | 0.8522 | 0.0856 | 0.8522 | 0.9231 |
258
+ | No log | 12.5455 | 414 | 0.8763 | 0.0611 | 0.8763 | 0.9361 |
259
+ | No log | 12.6061 | 416 | 1.0066 | -0.0504 | 1.0066 | 1.0033 |
260
+ | No log | 12.6667 | 418 | 1.0041 | -0.0854 | 1.0041 | 1.0020 |
261
+ | No log | 12.7273 | 420 | 1.0108 | -0.0532 | 1.0108 | 1.0054 |
262
+ | No log | 12.7879 | 422 | 0.9386 | -0.0056 | 0.9386 | 0.9688 |
263
+ | No log | 12.8485 | 424 | 0.8531 | 0.0600 | 0.8531 | 0.9236 |
264
+ | No log | 12.9091 | 426 | 0.7970 | -0.0163 | 0.7970 | 0.8928 |
265
+ | No log | 12.9697 | 428 | 0.8196 | 0.0600 | 0.8196 | 0.9053 |
266
+ | No log | 13.0303 | 430 | 0.9176 | -0.0101 | 0.9176 | 0.9579 |
267
+ | No log | 13.0909 | 432 | 0.9867 | -0.0558 | 0.9867 | 0.9933 |
268
+ | No log | 13.1515 | 434 | 0.9229 | -0.0902 | 0.9229 | 0.9607 |
269
+ | No log | 13.2121 | 436 | 0.7954 | 0.0768 | 0.7954 | 0.8919 |
270
+ | No log | 13.2727 | 438 | 0.7673 | -0.0473 | 0.7673 | 0.8760 |
271
+ | No log | 13.3333 | 440 | 0.8265 | 0.0206 | 0.8265 | 0.9091 |
272
+ | No log | 13.3939 | 442 | 0.8295 | 0.0206 | 0.8295 | 0.9108 |
273
+ | No log | 13.4545 | 444 | 0.7953 | -0.1010 | 0.7953 | 0.8918 |
274
+ | No log | 13.5152 | 446 | 0.8357 | 0.0639 | 0.8357 | 0.9142 |
275
+ | No log | 13.5758 | 448 | 0.9867 | -0.0545 | 0.9867 | 0.9934 |
276
+ | No log | 13.6364 | 450 | 1.0527 | -0.0218 | 1.0527 | 1.0260 |
277
+ | No log | 13.6970 | 452 | 0.9334 | -0.0799 | 0.9334 | 0.9661 |
278
+ | No log | 13.7576 | 454 | 0.8252 | 0.0600 | 0.8252 | 0.9084 |
279
+ | No log | 13.8182 | 456 | 0.8057 | -0.0252 | 0.8057 | 0.8976 |
280
+ | No log | 13.8788 | 458 | 0.8234 | 0.0600 | 0.8234 | 0.9074 |
281
+ | No log | 13.9394 | 460 | 0.7980 | -0.0252 | 0.7980 | 0.8933 |
282
+ | No log | 14.0 | 462 | 0.7807 | -0.0675 | 0.7807 | 0.8836 |
283
+ | No log | 14.0606 | 464 | 0.7972 | -0.0204 | 0.7972 | 0.8928 |
284
+ | No log | 14.1212 | 466 | 0.7983 | -0.0675 | 0.7983 | 0.8935 |
285
+ | No log | 14.1818 | 468 | 0.7940 | -0.0675 | 0.7940 | 0.8911 |
286
+ | No log | 14.2424 | 470 | 0.8119 | -0.0252 | 0.8119 | 0.9011 |
287
+ | No log | 14.3030 | 472 | 0.8225 | 0.0183 | 0.8225 | 0.9069 |
288
+ | No log | 14.3636 | 474 | 0.8490 | 0.0600 | 0.8490 | 0.9214 |
289
+ | No log | 14.4242 | 476 | 0.8564 | 0.0999 | 0.8564 | 0.9254 |
290
+ | No log | 14.4848 | 478 | 0.8263 | 0.0183 | 0.8263 | 0.9090 |
291
+ | No log | 14.5455 | 480 | 0.8254 | 0.0116 | 0.8254 | 0.9085 |
292
+ | No log | 14.6061 | 482 | 0.8469 | -0.0322 | 0.8469 | 0.9203 |
293
+ | No log | 14.6667 | 484 | 0.8277 | 0.0543 | 0.8277 | 0.9098 |
294
+ | No log | 14.7273 | 486 | 0.8129 | 0.0454 | 0.8129 | 0.9016 |
295
+ | No log | 14.7879 | 488 | 0.8066 | 0.0863 | 0.8066 | 0.8981 |
296
+ | No log | 14.8485 | 490 | 0.8522 | -0.0425 | 0.8522 | 0.9232 |
297
+ | No log | 14.9091 | 492 | 0.9841 | -0.0236 | 0.9841 | 0.9920 |
298
+ | No log | 14.9697 | 494 | 1.0155 | -0.0571 | 1.0155 | 1.0077 |
299
+ | No log | 15.0303 | 496 | 0.9613 | -0.0425 | 0.9613 | 0.9805 |
300
+ | No log | 15.0909 | 498 | 0.9267 | -0.0425 | 0.9267 | 0.9627 |
301
+ | 0.3542 | 15.1515 | 500 | 0.8408 | -0.0316 | 0.8408 | 0.9170 |
302
+ | 0.3542 | 15.2121 | 502 | 0.8126 | -0.0091 | 0.8126 | 0.9014 |
303
+ | 0.3542 | 15.2727 | 504 | 0.8324 | -0.0612 | 0.8324 | 0.9124 |
304
+ | 0.3542 | 15.3333 | 506 | 0.8384 | 0.0269 | 0.8384 | 0.9157 |
305
+ | 0.3542 | 15.3939 | 508 | 0.8822 | -0.1200 | 0.8822 | 0.9392 |
306
+ | 0.3542 | 15.4545 | 510 | 0.8642 | -0.1200 | 0.8642 | 0.9296 |
307
+ | 0.3542 | 15.5152 | 512 | 0.8575 | 0.0289 | 0.8575 | 0.9260 |
308
+ | 0.3542 | 15.5758 | 514 | 0.8868 | -0.0025 | 0.8868 | 0.9417 |
309
+ | 0.3542 | 15.6364 | 516 | 0.9098 | 0.0166 | 0.9098 | 0.9538 |
310
+ | 0.3542 | 15.6970 | 518 | 0.9092 | 0.0623 | 0.9092 | 0.9535 |
311
+ | 0.3542 | 15.7576 | 520 | 0.8747 | 0.0940 | 0.8747 | 0.9352 |
312
+ | 0.3542 | 15.8182 | 522 | 0.8626 | -0.1180 | 0.8627 | 0.9288 |
313
+ | 0.3542 | 15.8788 | 524 | 0.8997 | -0.0390 | 0.8997 | 0.9485 |
314
+ | 0.3542 | 15.9394 | 526 | 0.9250 | 0.0287 | 0.9250 | 0.9618 |
315
+ | 0.3542 | 16.0 | 528 | 0.8859 | -0.0079 | 0.8859 | 0.9412 |
316
+ | 0.3542 | 16.0606 | 530 | 0.8075 | -0.1244 | 0.8075 | 0.8986 |
317
+ | 0.3542 | 16.1212 | 532 | 0.7756 | -0.0033 | 0.7756 | 0.8807 |
318
+ | 0.3542 | 16.1818 | 534 | 0.7706 | -0.0033 | 0.7706 | 0.8778 |
319
+ | 0.3542 | 16.2424 | 536 | 0.7884 | -0.0704 | 0.7884 | 0.8879 |
320
+ | 0.3542 | 16.3030 | 538 | 0.8012 | -0.0753 | 0.8012 | 0.8951 |
321
+ | 0.3542 | 16.3636 | 540 | 0.8239 | -0.0331 | 0.8239 | 0.9077 |
322
+ | 0.3542 | 16.4242 | 542 | 0.8397 | -0.0731 | 0.8397 | 0.9164 |
323
+ | 0.3542 | 16.4848 | 544 | 0.8513 | -0.0690 | 0.8513 | 0.9227 |
324
+
325
+
326
+ ### Framework versions
327
+
328
+ - Transformers 4.44.2
329
+ - Pytorch 2.4.0+cu118
330
+ - Datasets 2.21.0
331
+ - 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 sha256:3701e6bd802baf22be58822f8c2e07bdf4935dd83ef729cfec55577a433e5f86
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d708c165d6651d6787e1f1c92fad0082958de1f22e488b174c9fbc6ec6f701ba
3
+ size 5304