Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_task3_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
aeee8e1
·
verified ·
1 Parent(s): c4e64f9

Training in progress, step 300

Browse files
Files changed (4) hide show
  1. README.md +393 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,393 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_k20_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_k20_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: 0.8331
19
+ - Qwk: -0.1268
20
+ - Mse: 0.8331
21
+ - Rmse: 0.9128
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 | 0.04 | 2 | 3.6257 | -0.0057 | 3.6257 | 1.9041 |
53
+ | No log | 0.08 | 4 | 1.9928 | 0.0704 | 1.9928 | 1.4117 |
54
+ | No log | 0.12 | 6 | 1.7116 | 0.0150 | 1.7116 | 1.3083 |
55
+ | No log | 0.16 | 8 | 1.1726 | -0.0704 | 1.1726 | 1.0829 |
56
+ | No log | 0.2 | 10 | 1.6868 | -0.0199 | 1.6868 | 1.2988 |
57
+ | No log | 0.24 | 12 | 1.4820 | -0.0164 | 1.4820 | 1.2174 |
58
+ | No log | 0.28 | 14 | 0.6937 | 0.0460 | 0.6937 | 0.8329 |
59
+ | No log | 0.32 | 16 | 0.6603 | -0.0035 | 0.6603 | 0.8126 |
60
+ | No log | 0.36 | 18 | 0.6810 | -0.0069 | 0.6810 | 0.8252 |
61
+ | No log | 0.4 | 20 | 0.8099 | 0.1342 | 0.8099 | 0.9000 |
62
+ | No log | 0.44 | 22 | 1.3260 | -0.0736 | 1.3260 | 1.1515 |
63
+ | No log | 0.48 | 24 | 1.4067 | -0.0253 | 1.4067 | 1.1860 |
64
+ | No log | 0.52 | 26 | 1.0163 | -0.0117 | 1.0163 | 1.0081 |
65
+ | No log | 0.56 | 28 | 0.7820 | -0.1230 | 0.7820 | 0.8843 |
66
+ | No log | 0.6 | 30 | 0.8128 | -0.0287 | 0.8128 | 0.9015 |
67
+ | No log | 0.64 | 32 | 0.9257 | -0.0490 | 0.9257 | 0.9621 |
68
+ | No log | 0.68 | 34 | 1.0670 | -0.0997 | 1.0670 | 1.0330 |
69
+ | No log | 0.72 | 36 | 1.1205 | -0.1288 | 1.1205 | 1.0586 |
70
+ | No log | 0.76 | 38 | 1.0598 | -0.0955 | 1.0598 | 1.0294 |
71
+ | No log | 0.8 | 40 | 0.9949 | -0.0200 | 0.9949 | 0.9974 |
72
+ | No log | 0.84 | 42 | 0.9422 | -0.1265 | 0.9422 | 0.9706 |
73
+ | No log | 0.88 | 44 | 0.8977 | -0.1259 | 0.8977 | 0.9475 |
74
+ | No log | 0.92 | 46 | 0.9070 | -0.1261 | 0.9070 | 0.9524 |
75
+ | No log | 0.96 | 48 | 0.9594 | -0.2000 | 0.9594 | 0.9795 |
76
+ | No log | 1.0 | 50 | 0.9379 | -0.1261 | 0.9379 | 0.9684 |
77
+ | No log | 1.04 | 52 | 0.9579 | -0.2380 | 0.9579 | 0.9787 |
78
+ | No log | 1.08 | 54 | 0.8348 | 0.0129 | 0.8348 | 0.9137 |
79
+ | No log | 1.12 | 56 | 0.8257 | 0.0129 | 0.8257 | 0.9087 |
80
+ | No log | 1.16 | 58 | 0.8459 | 0.0512 | 0.8459 | 0.9197 |
81
+ | No log | 1.2 | 60 | 0.8921 | 0.0867 | 0.8921 | 0.9445 |
82
+ | No log | 1.24 | 62 | 1.2661 | -0.1286 | 1.2661 | 1.1252 |
83
+ | No log | 1.28 | 64 | 1.1348 | -0.0930 | 1.1348 | 1.0653 |
84
+ | No log | 1.32 | 66 | 0.7749 | 0.0714 | 0.7749 | 0.8803 |
85
+ | No log | 1.3600 | 68 | 0.6757 | 0.0 | 0.6757 | 0.8220 |
86
+ | No log | 1.4 | 70 | 0.6784 | 0.0 | 0.6784 | 0.8237 |
87
+ | No log | 1.44 | 72 | 0.7835 | 0.0374 | 0.7835 | 0.8851 |
88
+ | No log | 1.48 | 74 | 1.0483 | -0.0861 | 1.0483 | 1.0239 |
89
+ | No log | 1.52 | 76 | 1.2567 | -0.0936 | 1.2567 | 1.1210 |
90
+ | No log | 1.56 | 78 | 0.8483 | 0.0159 | 0.8483 | 0.9210 |
91
+ | No log | 1.6 | 80 | 0.7692 | -0.0101 | 0.7692 | 0.8770 |
92
+ | No log | 1.6400 | 82 | 0.7945 | 0.0759 | 0.7945 | 0.8914 |
93
+ | No log | 1.6800 | 84 | 0.7830 | 0.0857 | 0.7830 | 0.8848 |
94
+ | No log | 1.72 | 86 | 0.9830 | -0.0500 | 0.9830 | 0.9915 |
95
+ | No log | 1.76 | 88 | 0.9487 | -0.0441 | 0.9487 | 0.9740 |
96
+ | No log | 1.8 | 90 | 0.7849 | 0.0416 | 0.7849 | 0.8859 |
97
+ | No log | 1.8400 | 92 | 0.8495 | 0.0 | 0.8495 | 0.9217 |
98
+ | No log | 1.88 | 94 | 0.8485 | -0.1635 | 0.8485 | 0.9211 |
99
+ | No log | 1.92 | 96 | 0.7695 | 0.0857 | 0.7695 | 0.8772 |
100
+ | No log | 1.96 | 98 | 1.1630 | 0.0147 | 1.1630 | 1.0784 |
101
+ | No log | 2.0 | 100 | 1.1231 | -0.0500 | 1.1231 | 1.0598 |
102
+ | No log | 2.04 | 102 | 0.8717 | -0.0351 | 0.8717 | 0.9336 |
103
+ | No log | 2.08 | 104 | 0.8717 | -0.1354 | 0.8717 | 0.9336 |
104
+ | No log | 2.12 | 106 | 0.9177 | -0.0228 | 0.9177 | 0.9580 |
105
+ | No log | 2.16 | 108 | 0.8312 | 0.0893 | 0.8312 | 0.9117 |
106
+ | No log | 2.2 | 110 | 0.9955 | -0.1162 | 0.9955 | 0.9978 |
107
+ | No log | 2.24 | 112 | 1.0305 | -0.0787 | 1.0305 | 1.0151 |
108
+ | No log | 2.2800 | 114 | 0.9000 | -0.0757 | 0.9000 | 0.9487 |
109
+ | No log | 2.32 | 116 | 0.8786 | 0.0062 | 0.8786 | 0.9374 |
110
+ | No log | 2.36 | 118 | 0.7940 | 0.0303 | 0.7940 | 0.8911 |
111
+ | No log | 2.4 | 120 | 0.7783 | -0.0086 | 0.7783 | 0.8822 |
112
+ | No log | 2.44 | 122 | 0.7941 | 0.0600 | 0.7941 | 0.8911 |
113
+ | No log | 2.48 | 124 | 1.0235 | 0.0778 | 1.0235 | 1.0117 |
114
+ | No log | 2.52 | 126 | 1.3900 | -0.0047 | 1.3900 | 1.1790 |
115
+ | No log | 2.56 | 128 | 0.9775 | 0.1348 | 0.9775 | 0.9887 |
116
+ | No log | 2.6 | 130 | 0.7952 | -0.1466 | 0.7952 | 0.8918 |
117
+ | No log | 2.64 | 132 | 0.8700 | -0.1547 | 0.8700 | 0.9327 |
118
+ | No log | 2.68 | 134 | 0.8662 | -0.0366 | 0.8662 | 0.9307 |
119
+ | No log | 2.7200 | 136 | 0.8586 | 0.0081 | 0.8586 | 0.9266 |
120
+ | No log | 2.76 | 138 | 1.2339 | 0.0502 | 1.2339 | 1.1108 |
121
+ | No log | 2.8 | 140 | 1.4590 | 0.0022 | 1.4590 | 1.2079 |
122
+ | No log | 2.84 | 142 | 1.0689 | -0.1644 | 1.0689 | 1.0339 |
123
+ | No log | 2.88 | 144 | 1.0655 | 0.0451 | 1.0655 | 1.0322 |
124
+ | No log | 2.92 | 146 | 1.0885 | -0.0210 | 1.0885 | 1.0433 |
125
+ | No log | 2.96 | 148 | 0.9345 | 0.0776 | 0.9345 | 0.9667 |
126
+ | No log | 3.0 | 150 | 0.7736 | 0.0 | 0.7736 | 0.8796 |
127
+ | No log | 3.04 | 152 | 0.9066 | 0.0277 | 0.9066 | 0.9522 |
128
+ | No log | 3.08 | 154 | 1.2719 | -0.0063 | 1.2719 | 1.1278 |
129
+ | No log | 3.12 | 156 | 1.1787 | -0.0029 | 1.1787 | 1.0857 |
130
+ | No log | 3.16 | 158 | 0.8887 | 0.0786 | 0.8887 | 0.9427 |
131
+ | No log | 3.2 | 160 | 0.7484 | 0.0964 | 0.7484 | 0.8651 |
132
+ | No log | 3.24 | 162 | 0.7313 | 0.0506 | 0.7313 | 0.8552 |
133
+ | No log | 3.2800 | 164 | 0.7594 | -0.0541 | 0.7594 | 0.8714 |
134
+ | No log | 3.32 | 166 | 0.7962 | 0.0375 | 0.7962 | 0.8923 |
135
+ | No log | 3.36 | 168 | 0.8972 | 0.0456 | 0.8972 | 0.9472 |
136
+ | No log | 3.4 | 170 | 0.8280 | 0.0414 | 0.8280 | 0.9099 |
137
+ | No log | 3.44 | 172 | 0.8096 | -0.0541 | 0.8096 | 0.8998 |
138
+ | No log | 3.48 | 174 | 0.7968 | 0.0460 | 0.7968 | 0.8926 |
139
+ | No log | 3.52 | 176 | 0.8415 | -0.0160 | 0.8415 | 0.9173 |
140
+ | No log | 3.56 | 178 | 0.9841 | -0.0441 | 0.9841 | 0.9920 |
141
+ | No log | 3.6 | 180 | 0.9745 | -0.1259 | 0.9745 | 0.9872 |
142
+ | No log | 3.64 | 182 | 0.8751 | -0.1094 | 0.8751 | 0.9355 |
143
+ | No log | 3.68 | 184 | 0.8670 | -0.0513 | 0.8670 | 0.9311 |
144
+ | No log | 3.7200 | 186 | 0.9062 | -0.0690 | 0.9062 | 0.9520 |
145
+ | No log | 3.76 | 188 | 1.0034 | -0.1261 | 1.0034 | 1.0017 |
146
+ | No log | 3.8 | 190 | 0.9312 | 0.0639 | 0.9312 | 0.9650 |
147
+ | No log | 3.84 | 192 | 0.8867 | -0.0163 | 0.8867 | 0.9417 |
148
+ | No log | 3.88 | 194 | 0.8404 | -0.1542 | 0.8404 | 0.9168 |
149
+ | No log | 3.92 | 196 | 0.8503 | -0.0118 | 0.8503 | 0.9221 |
150
+ | No log | 3.96 | 198 | 0.8541 | -0.0578 | 0.8541 | 0.9242 |
151
+ | No log | 4.0 | 200 | 0.8678 | 0.0914 | 0.8678 | 0.9316 |
152
+ | No log | 4.04 | 202 | 0.8391 | -0.0560 | 0.8391 | 0.9160 |
153
+ | No log | 4.08 | 204 | 0.8636 | -0.0550 | 0.8636 | 0.9293 |
154
+ | No log | 4.12 | 206 | 0.8857 | -0.1176 | 0.8857 | 0.9411 |
155
+ | No log | 4.16 | 208 | 0.9801 | -0.0283 | 0.9801 | 0.9900 |
156
+ | No log | 4.2 | 210 | 0.9104 | -0.0739 | 0.9104 | 0.9542 |
157
+ | No log | 4.24 | 212 | 0.8312 | -0.0035 | 0.8312 | 0.9117 |
158
+ | No log | 4.28 | 214 | 0.8655 | -0.1628 | 0.8655 | 0.9303 |
159
+ | No log | 4.32 | 216 | 0.8861 | -0.1266 | 0.8861 | 0.9413 |
160
+ | No log | 4.36 | 218 | 0.8736 | -0.0541 | 0.8736 | 0.9347 |
161
+ | No log | 4.4 | 220 | 0.8697 | -0.0131 | 0.8697 | 0.9326 |
162
+ | No log | 4.44 | 222 | 0.8544 | -0.0609 | 0.8544 | 0.9243 |
163
+ | No log | 4.48 | 224 | 0.8615 | -0.0096 | 0.8615 | 0.9281 |
164
+ | No log | 4.52 | 226 | 0.8824 | -0.1172 | 0.8824 | 0.9394 |
165
+ | No log | 4.5600 | 228 | 0.9058 | -0.1331 | 0.9058 | 0.9517 |
166
+ | No log | 4.6 | 230 | 0.9543 | -0.1671 | 0.9543 | 0.9769 |
167
+ | No log | 4.64 | 232 | 0.9540 | -0.1643 | 0.9540 | 0.9767 |
168
+ | No log | 4.68 | 234 | 0.9554 | -0.1229 | 0.9554 | 0.9775 |
169
+ | No log | 4.72 | 236 | 0.9515 | -0.1200 | 0.9515 | 0.9754 |
170
+ | No log | 4.76 | 238 | 0.9355 | -0.0820 | 0.9355 | 0.9672 |
171
+ | No log | 4.8 | 240 | 0.8618 | -0.1665 | 0.8618 | 0.9283 |
172
+ | No log | 4.84 | 242 | 0.8379 | -0.0849 | 0.8379 | 0.9154 |
173
+ | No log | 4.88 | 244 | 0.8347 | 0.0964 | 0.8347 | 0.9136 |
174
+ | No log | 4.92 | 246 | 0.8368 | -0.0215 | 0.8368 | 0.9148 |
175
+ | No log | 4.96 | 248 | 0.9370 | -0.0823 | 0.9370 | 0.9680 |
176
+ | No log | 5.0 | 250 | 0.8841 | -0.1244 | 0.8841 | 0.9403 |
177
+ | No log | 5.04 | 252 | 0.8218 | -0.0560 | 0.8218 | 0.9065 |
178
+ | No log | 5.08 | 254 | 0.8522 | -0.1397 | 0.8522 | 0.9231 |
179
+ | No log | 5.12 | 256 | 0.8744 | -0.2538 | 0.8744 | 0.9351 |
180
+ | No log | 5.16 | 258 | 0.8771 | -0.2022 | 0.8771 | 0.9365 |
181
+ | No log | 5.2 | 260 | 0.9530 | -0.1191 | 0.9530 | 0.9762 |
182
+ | No log | 5.24 | 262 | 0.9585 | -0.0755 | 0.9585 | 0.9790 |
183
+ | No log | 5.28 | 264 | 0.8851 | -0.2720 | 0.8851 | 0.9408 |
184
+ | No log | 5.32 | 266 | 0.9677 | -0.0393 | 0.9677 | 0.9837 |
185
+ | No log | 5.36 | 268 | 0.9480 | -0.0425 | 0.9480 | 0.9736 |
186
+ | No log | 5.4 | 270 | 0.8236 | -0.0967 | 0.8236 | 0.9075 |
187
+ | No log | 5.44 | 272 | 0.8250 | -0.1094 | 0.8250 | 0.9083 |
188
+ | No log | 5.48 | 274 | 0.8447 | -0.1466 | 0.8447 | 0.9190 |
189
+ | No log | 5.52 | 276 | 0.8517 | -0.1531 | 0.8517 | 0.9229 |
190
+ | No log | 5.5600 | 278 | 0.8969 | -0.2489 | 0.8969 | 0.9470 |
191
+ | No log | 5.6 | 280 | 1.0477 | -0.0143 | 1.0477 | 1.0236 |
192
+ | No log | 5.64 | 282 | 1.0985 | 0.0458 | 1.0985 | 1.0481 |
193
+ | No log | 5.68 | 284 | 0.9231 | -0.1633 | 0.9231 | 0.9608 |
194
+ | No log | 5.72 | 286 | 0.8717 | -0.1180 | 0.8717 | 0.9336 |
195
+ | No log | 5.76 | 288 | 0.8516 | -0.0753 | 0.8516 | 0.9228 |
196
+ | No log | 5.8 | 290 | 0.9171 | -0.1246 | 0.9171 | 0.9576 |
197
+ | No log | 5.84 | 292 | 0.8727 | -0.0753 | 0.8727 | 0.9342 |
198
+ | No log | 5.88 | 294 | 0.7906 | 0.0460 | 0.7906 | 0.8891 |
199
+ | No log | 5.92 | 296 | 0.7880 | -0.0065 | 0.7880 | 0.8877 |
200
+ | No log | 5.96 | 298 | 0.7945 | -0.0560 | 0.7945 | 0.8914 |
201
+ | No log | 6.0 | 300 | 0.8164 | -0.0984 | 0.8164 | 0.9036 |
202
+ | No log | 6.04 | 302 | 0.8317 | -0.0984 | 0.8317 | 0.9120 |
203
+ | No log | 6.08 | 304 | 0.8550 | -0.1273 | 0.8550 | 0.9247 |
204
+ | No log | 6.12 | 306 | 0.8956 | -0.0949 | 0.8956 | 0.9464 |
205
+ | No log | 6.16 | 308 | 0.8662 | -0.0426 | 0.8662 | 0.9307 |
206
+ | No log | 6.2 | 310 | 0.9217 | -0.0262 | 0.9217 | 0.9600 |
207
+ | No log | 6.24 | 312 | 0.8966 | -0.0262 | 0.8966 | 0.9469 |
208
+ | No log | 6.28 | 314 | 0.8765 | -0.0849 | 0.8765 | 0.9362 |
209
+ | No log | 6.32 | 316 | 0.9213 | -0.0941 | 0.9213 | 0.9599 |
210
+ | No log | 6.36 | 318 | 0.8665 | -0.2056 | 0.8665 | 0.9309 |
211
+ | No log | 6.4 | 320 | 0.8149 | 0.1024 | 0.8149 | 0.9027 |
212
+ | No log | 6.44 | 322 | 0.8413 | -0.0274 | 0.8413 | 0.9172 |
213
+ | No log | 6.48 | 324 | 0.8233 | 0.1024 | 0.8233 | 0.9074 |
214
+ | No log | 6.52 | 326 | 0.8755 | -0.1745 | 0.8755 | 0.9357 |
215
+ | No log | 6.5600 | 328 | 0.8700 | -0.1823 | 0.8700 | 0.9328 |
216
+ | No log | 6.6 | 330 | 0.8362 | -0.1026 | 0.8362 | 0.9144 |
217
+ | No log | 6.64 | 332 | 0.8349 | -0.1026 | 0.8349 | 0.9137 |
218
+ | No log | 6.68 | 334 | 0.8396 | -0.0612 | 0.8396 | 0.9163 |
219
+ | No log | 6.72 | 336 | 0.8392 | -0.1527 | 0.8392 | 0.9161 |
220
+ | No log | 6.76 | 338 | 0.8509 | -0.0967 | 0.8509 | 0.9224 |
221
+ | No log | 6.8 | 340 | 0.8670 | -0.1204 | 0.8670 | 0.9311 |
222
+ | No log | 6.84 | 342 | 0.8415 | -0.0912 | 0.8415 | 0.9173 |
223
+ | No log | 6.88 | 344 | 0.8481 | -0.0524 | 0.8481 | 0.9209 |
224
+ | No log | 6.92 | 346 | 0.8784 | -0.0563 | 0.8784 | 0.9372 |
225
+ | No log | 6.96 | 348 | 0.8684 | -0.0921 | 0.8684 | 0.9319 |
226
+ | No log | 7.0 | 350 | 0.8741 | -0.0859 | 0.8741 | 0.9350 |
227
+ | No log | 7.04 | 352 | 0.8552 | -0.0859 | 0.8552 | 0.9248 |
228
+ | No log | 7.08 | 354 | 0.8181 | -0.1026 | 0.8181 | 0.9045 |
229
+ | No log | 7.12 | 356 | 0.8011 | -0.0595 | 0.8011 | 0.8950 |
230
+ | No log | 7.16 | 358 | 0.7839 | -0.0578 | 0.7839 | 0.8854 |
231
+ | No log | 7.2 | 360 | 0.7854 | -0.1026 | 0.7854 | 0.8862 |
232
+ | No log | 7.24 | 362 | 0.8008 | -0.0967 | 0.8008 | 0.8949 |
233
+ | No log | 7.28 | 364 | 0.8053 | -0.0976 | 0.8053 | 0.8974 |
234
+ | No log | 7.32 | 366 | 0.8119 | -0.0488 | 0.8119 | 0.9010 |
235
+ | No log | 7.36 | 368 | 0.8221 | -0.0488 | 0.8221 | 0.9067 |
236
+ | No log | 7.4 | 370 | 0.8419 | -0.0488 | 0.8419 | 0.9175 |
237
+ | No log | 7.44 | 372 | 0.8706 | -0.0999 | 0.8706 | 0.9331 |
238
+ | No log | 7.48 | 374 | 0.8807 | -0.0870 | 0.8807 | 0.9385 |
239
+ | No log | 7.52 | 376 | 0.9601 | -0.1156 | 0.9601 | 0.9798 |
240
+ | No log | 7.5600 | 378 | 0.9551 | -0.0838 | 0.9551 | 0.9773 |
241
+ | No log | 7.6 | 380 | 0.9284 | -0.0238 | 0.9284 | 0.9635 |
242
+ | No log | 7.64 | 382 | 0.9099 | -0.0116 | 0.9099 | 0.9539 |
243
+ | No log | 7.68 | 384 | 0.8460 | -0.0488 | 0.8460 | 0.9198 |
244
+ | No log | 7.72 | 386 | 0.8067 | 0.0964 | 0.8067 | 0.8981 |
245
+ | No log | 7.76 | 388 | 0.8111 | -0.0711 | 0.8111 | 0.9006 |
246
+ | No log | 7.8 | 390 | 0.7890 | 0.0964 | 0.7890 | 0.8882 |
247
+ | No log | 7.84 | 392 | 0.7815 | -0.0069 | 0.7815 | 0.8840 |
248
+ | No log | 7.88 | 394 | 0.7757 | -0.0035 | 0.7757 | 0.8808 |
249
+ | No log | 7.92 | 396 | 0.7609 | 0.0460 | 0.7609 | 0.8723 |
250
+ | No log | 7.96 | 398 | 0.7699 | 0.0964 | 0.7699 | 0.8774 |
251
+ | No log | 8.0 | 400 | 0.8083 | 0.1259 | 0.8083 | 0.8991 |
252
+ | No log | 8.04 | 402 | 0.8041 | 0.0394 | 0.8041 | 0.8967 |
253
+ | No log | 8.08 | 404 | 0.8281 | -0.1331 | 0.8281 | 0.9100 |
254
+ | No log | 8.12 | 406 | 0.8805 | -0.0996 | 0.8805 | 0.9384 |
255
+ | No log | 8.16 | 408 | 0.8833 | -0.1648 | 0.8833 | 0.9398 |
256
+ | No log | 8.2 | 410 | 0.9010 | -0.0963 | 0.9010 | 0.9492 |
257
+ | No log | 8.24 | 412 | 0.9135 | -0.1026 | 0.9135 | 0.9558 |
258
+ | No log | 8.28 | 414 | 0.8902 | -0.0588 | 0.8902 | 0.9435 |
259
+ | No log | 8.32 | 416 | 0.8425 | -0.0992 | 0.8425 | 0.9179 |
260
+ | No log | 8.36 | 418 | 0.8382 | -0.0879 | 0.8382 | 0.9155 |
261
+ | No log | 8.4 | 420 | 0.8179 | -0.0506 | 0.8179 | 0.9044 |
262
+ | No log | 8.44 | 422 | 0.8108 | -0.0506 | 0.8108 | 0.9004 |
263
+ | No log | 8.48 | 424 | 0.8037 | -0.0992 | 0.8037 | 0.8965 |
264
+ | No log | 8.52 | 426 | 0.8135 | -0.0152 | 0.8135 | 0.9019 |
265
+ | No log | 8.56 | 428 | 0.8456 | 0.1148 | 0.8456 | 0.9196 |
266
+ | No log | 8.6 | 430 | 0.8883 | 0.0017 | 0.8883 | 0.9425 |
267
+ | No log | 8.64 | 432 | 0.8130 | 0.1202 | 0.8130 | 0.9016 |
268
+ | No log | 8.68 | 434 | 0.7716 | 0.0395 | 0.7716 | 0.8784 |
269
+ | No log | 8.72 | 436 | 0.7889 | -0.0488 | 0.7889 | 0.8882 |
270
+ | No log | 8.76 | 438 | 0.8187 | -0.0488 | 0.8187 | 0.9048 |
271
+ | No log | 8.8 | 440 | 0.8886 | -0.0735 | 0.8886 | 0.9427 |
272
+ | No log | 8.84 | 442 | 0.9028 | -0.0735 | 0.9028 | 0.9502 |
273
+ | No log | 8.88 | 444 | 0.8719 | -0.0669 | 0.8719 | 0.9338 |
274
+ | No log | 8.92 | 446 | 0.7837 | -0.0550 | 0.7837 | 0.8853 |
275
+ | No log | 8.96 | 448 | 0.7561 | -0.0032 | 0.7561 | 0.8695 |
276
+ | No log | 9.0 | 450 | 0.7462 | 0.0964 | 0.7462 | 0.8638 |
277
+ | No log | 9.04 | 452 | 0.8041 | 0.1202 | 0.8041 | 0.8967 |
278
+ | No log | 9.08 | 454 | 0.8836 | 0.0909 | 0.8836 | 0.9400 |
279
+ | No log | 9.12 | 456 | 0.8029 | -0.0612 | 0.8029 | 0.8960 |
280
+ | No log | 9.16 | 458 | 0.8104 | 0.0030 | 0.8104 | 0.9002 |
281
+ | No log | 9.2 | 460 | 0.8186 | 0.0030 | 0.8186 | 0.9048 |
282
+ | No log | 9.24 | 462 | 0.8116 | -0.0567 | 0.8116 | 0.9009 |
283
+ | No log | 9.28 | 464 | 0.9346 | 0.0909 | 0.9346 | 0.9667 |
284
+ | No log | 9.32 | 466 | 0.8911 | 0.0549 | 0.8911 | 0.9440 |
285
+ | No log | 9.36 | 468 | 0.7826 | 0.0414 | 0.7826 | 0.8846 |
286
+ | No log | 9.4 | 470 | 0.7792 | 0.0414 | 0.7792 | 0.8827 |
287
+ | No log | 9.44 | 472 | 0.7842 | 0.0471 | 0.7842 | 0.8856 |
288
+ | No log | 9.48 | 474 | 0.7865 | 0.0471 | 0.7865 | 0.8868 |
289
+ | No log | 9.52 | 476 | 0.7914 | 0.0454 | 0.7914 | 0.8896 |
290
+ | No log | 9.56 | 478 | 0.8689 | -0.0264 | 0.8689 | 0.9322 |
291
+ | No log | 9.6 | 480 | 0.8855 | -0.0766 | 0.8855 | 0.9410 |
292
+ | No log | 9.64 | 482 | 0.8322 | -0.0096 | 0.8322 | 0.9122 |
293
+ | No log | 9.68 | 484 | 0.8126 | -0.1074 | 0.8126 | 0.9014 |
294
+ | No log | 9.72 | 486 | 0.8097 | -0.0541 | 0.8097 | 0.8999 |
295
+ | No log | 9.76 | 488 | 0.8465 | -0.0215 | 0.8465 | 0.9201 |
296
+ | No log | 9.8 | 490 | 0.9987 | -0.0878 | 0.9987 | 0.9993 |
297
+ | No log | 9.84 | 492 | 0.9381 | -0.0033 | 0.9381 | 0.9686 |
298
+ | No log | 9.88 | 494 | 0.7774 | 0.1379 | 0.7774 | 0.8817 |
299
+ | No log | 9.92 | 496 | 0.7573 | 0.1021 | 0.7573 | 0.8702 |
300
+ | No log | 9.96 | 498 | 0.7903 | 0.0 | 0.7903 | 0.8890 |
301
+ | 0.3216 | 10.0 | 500 | 0.8344 | -0.0859 | 0.8344 | 0.9135 |
302
+ | 0.3216 | 10.04 | 502 | 0.8788 | -0.1916 | 0.8788 | 0.9374 |
303
+ | 0.3216 | 10.08 | 504 | 0.9099 | -0.0699 | 0.9099 | 0.9539 |
304
+ | 0.3216 | 10.12 | 506 | 0.9053 | -0.0271 | 0.9053 | 0.9515 |
305
+ | 0.3216 | 10.16 | 508 | 0.8860 | -0.0462 | 0.8860 | 0.9413 |
306
+ | 0.3216 | 10.2 | 510 | 0.8876 | -0.0370 | 0.8876 | 0.9421 |
307
+ | 0.3216 | 10.24 | 512 | 0.8830 | -0.0407 | 0.8830 | 0.9397 |
308
+ | 0.3216 | 10.28 | 514 | 0.8790 | -0.0027 | 0.8790 | 0.9376 |
309
+ | 0.3216 | 10.32 | 516 | 0.8731 | -0.0567 | 0.8731 | 0.9344 |
310
+ | 0.3216 | 10.36 | 518 | 0.8793 | -0.1982 | 0.8793 | 0.9377 |
311
+ | 0.3216 | 10.4 | 520 | 0.8897 | -0.0731 | 0.8897 | 0.9433 |
312
+ | 0.3216 | 10.44 | 522 | 0.9038 | 0.0071 | 0.9038 | 0.9507 |
313
+ | 0.3216 | 10.48 | 524 | 0.8634 | -0.0264 | 0.8634 | 0.9292 |
314
+ | 0.3216 | 10.52 | 526 | 0.8112 | -0.0513 | 0.8112 | 0.9006 |
315
+ | 0.3216 | 10.56 | 528 | 0.8245 | -0.1468 | 0.8245 | 0.9080 |
316
+ | 0.3216 | 10.6 | 530 | 0.8200 | -0.1893 | 0.8200 | 0.9055 |
317
+ | 0.3216 | 10.64 | 532 | 0.7900 | 0.1021 | 0.7900 | 0.8888 |
318
+ | 0.3216 | 10.68 | 534 | 0.8718 | 0.0191 | 0.8718 | 0.9337 |
319
+ | 0.3216 | 10.72 | 536 | 0.8742 | 0.0191 | 0.8742 | 0.9350 |
320
+ | 0.3216 | 10.76 | 538 | 0.7926 | 0.0964 | 0.7926 | 0.8903 |
321
+ | 0.3216 | 10.8 | 540 | 0.7922 | -0.0033 | 0.7922 | 0.8900 |
322
+ | 0.3216 | 10.84 | 542 | 0.8437 | -0.1329 | 0.8437 | 0.9186 |
323
+ | 0.3216 | 10.88 | 544 | 0.8569 | -0.1329 | 0.8569 | 0.9257 |
324
+ | 0.3216 | 10.92 | 546 | 0.8228 | -0.0949 | 0.8228 | 0.9071 |
325
+ | 0.3216 | 10.96 | 548 | 0.7785 | -0.0065 | 0.7785 | 0.8823 |
326
+ | 0.3216 | 11.0 | 550 | 0.9217 | -0.0425 | 0.9217 | 0.9600 |
327
+ | 0.3216 | 11.04 | 552 | 0.9372 | -0.0442 | 0.9372 | 0.9681 |
328
+ | 0.3216 | 11.08 | 554 | 0.8567 | -0.0096 | 0.8567 | 0.9256 |
329
+ | 0.3216 | 11.12 | 556 | 0.8481 | -0.1397 | 0.8481 | 0.9209 |
330
+ | 0.3216 | 11.16 | 558 | 0.8444 | -0.0967 | 0.8444 | 0.9189 |
331
+ | 0.3216 | 11.2 | 560 | 0.8329 | -0.0030 | 0.8329 | 0.9126 |
332
+ | 0.3216 | 11.24 | 562 | 0.8243 | 0.0964 | 0.8243 | 0.9079 |
333
+ | 0.3216 | 11.28 | 564 | 0.8197 | 0.0964 | 0.8197 | 0.9054 |
334
+ | 0.3216 | 11.32 | 566 | 0.8070 | 0.0964 | 0.8070 | 0.8983 |
335
+ | 0.3216 | 11.36 | 568 | 0.7952 | 0.0964 | 0.7952 | 0.8918 |
336
+ | 0.3216 | 11.4 | 570 | 0.7942 | 0.1021 | 0.7942 | 0.8912 |
337
+ | 0.3216 | 11.44 | 572 | 0.8047 | -0.0065 | 0.8047 | 0.8970 |
338
+ | 0.3216 | 11.48 | 574 | 0.8270 | 0.0395 | 0.8270 | 0.9094 |
339
+ | 0.3216 | 11.52 | 576 | 0.8446 | -0.0488 | 0.8446 | 0.9190 |
340
+ | 0.3216 | 11.56 | 578 | 0.8552 | -0.0912 | 0.8552 | 0.9248 |
341
+ | 0.3216 | 11.6 | 580 | 0.8577 | -0.0859 | 0.8577 | 0.9261 |
342
+ | 0.3216 | 11.64 | 582 | 0.8385 | -0.1268 | 0.8385 | 0.9157 |
343
+ | 0.3216 | 11.68 | 584 | 0.8126 | -0.0912 | 0.8126 | 0.9014 |
344
+ | 0.3216 | 11.72 | 586 | 0.8025 | 0.0479 | 0.8025 | 0.8958 |
345
+ | 0.3216 | 11.76 | 588 | 0.8195 | 0.0964 | 0.8195 | 0.9053 |
346
+ | 0.3216 | 11.8 | 590 | 0.8008 | 0.1021 | 0.8008 | 0.8949 |
347
+ | 0.3216 | 11.84 | 592 | 0.8113 | 0.0479 | 0.8113 | 0.9007 |
348
+ | 0.3216 | 11.88 | 594 | 0.8293 | 0.0479 | 0.8293 | 0.9107 |
349
+ | 0.3216 | 11.92 | 596 | 0.8415 | -0.0644 | 0.8415 | 0.9173 |
350
+ | 0.3216 | 11.96 | 598 | 0.8781 | -0.1172 | 0.8781 | 0.9371 |
351
+ | 0.3216 | 12.0 | 600 | 0.9347 | -0.1197 | 0.9347 | 0.9668 |
352
+ | 0.3216 | 12.04 | 602 | 0.9247 | -0.1197 | 0.9247 | 0.9616 |
353
+ | 0.3216 | 12.08 | 604 | 0.8911 | -0.2354 | 0.8911 | 0.9440 |
354
+ | 0.3216 | 12.12 | 606 | 0.8869 | 0.0085 | 0.8869 | 0.9418 |
355
+ | 0.3216 | 12.16 | 608 | 0.8795 | 0.0085 | 0.8795 | 0.9378 |
356
+ | 0.3216 | 12.2 | 610 | 0.8643 | -0.0513 | 0.8643 | 0.9297 |
357
+ | 0.3216 | 12.24 | 612 | 0.8470 | -0.0595 | 0.8470 | 0.9203 |
358
+ | 0.3216 | 12.28 | 614 | 0.9059 | -0.0778 | 0.9059 | 0.9518 |
359
+ | 0.3216 | 12.32 | 616 | 1.0279 | -0.1261 | 1.0279 | 1.0138 |
360
+ | 0.3216 | 12.36 | 618 | 1.0674 | -0.0886 | 1.0674 | 1.0331 |
361
+ | 0.3216 | 12.4 | 620 | 1.0061 | -0.1261 | 1.0061 | 1.0030 |
362
+ | 0.3216 | 12.44 | 622 | 0.9239 | -0.0823 | 0.9239 | 0.9612 |
363
+ | 0.3216 | 12.48 | 624 | 0.8156 | 0.0395 | 0.8156 | 0.9031 |
364
+ | 0.3216 | 12.52 | 626 | 0.8320 | 0.0496 | 0.8320 | 0.9121 |
365
+ | 0.3216 | 12.56 | 628 | 0.8646 | 0.0031 | 0.8646 | 0.9298 |
366
+ | 0.3216 | 12.6 | 630 | 0.8433 | -0.1018 | 0.8433 | 0.9183 |
367
+ | 0.3216 | 12.64 | 632 | 0.8277 | -0.1397 | 0.8277 | 0.9098 |
368
+ | 0.3216 | 12.68 | 634 | 0.8231 | -0.1397 | 0.8231 | 0.9073 |
369
+ | 0.3216 | 12.72 | 636 | 0.8432 | 0.0061 | 0.8432 | 0.9183 |
370
+ | 0.3216 | 12.76 | 638 | 0.8310 | -0.0939 | 0.8310 | 0.9116 |
371
+ | 0.3216 | 12.8 | 640 | 0.8053 | -0.0033 | 0.8053 | 0.8974 |
372
+ | 0.3216 | 12.84 | 642 | 0.8376 | 0.1318 | 0.8376 | 0.9152 |
373
+ | 0.3216 | 12.88 | 644 | 0.8507 | 0.0191 | 0.8507 | 0.9223 |
374
+ | 0.3216 | 12.92 | 646 | 0.8666 | 0.0628 | 0.8666 | 0.9309 |
375
+ | 0.3216 | 12.96 | 648 | 0.8475 | 0.0247 | 0.8475 | 0.9206 |
376
+ | 0.3216 | 13.0 | 650 | 0.8257 | 0.0768 | 0.8257 | 0.9087 |
377
+ | 0.3216 | 13.04 | 652 | 0.8219 | 0.1259 | 0.8219 | 0.9066 |
378
+ | 0.3216 | 13.08 | 654 | 0.8117 | 0.0967 | 0.8117 | 0.9009 |
379
+ | 0.3216 | 13.12 | 656 | 0.8413 | 0.1148 | 0.8413 | 0.9172 |
380
+ | 0.3216 | 13.16 | 658 | 0.8216 | 0.0449 | 0.8216 | 0.9064 |
381
+ | 0.3216 | 13.2 | 660 | 0.8061 | -0.1397 | 0.8061 | 0.8978 |
382
+ | 0.3216 | 13.24 | 662 | 0.8530 | -0.1535 | 0.8530 | 0.9236 |
383
+ | 0.3216 | 13.28 | 664 | 0.8822 | -0.1709 | 0.8822 | 0.9393 |
384
+ | 0.3216 | 13.32 | 666 | 0.8673 | -0.1905 | 0.8673 | 0.9313 |
385
+ | 0.3216 | 13.36 | 668 | 0.8331 | -0.1268 | 0.8331 | 0.9128 |
386
+
387
+
388
+ ### Framework versions
389
+
390
+ - Transformers 4.44.2
391
+ - Pytorch 2.4.0+cu118
392
+ - Datasets 2.21.0
393
+ - 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 sha256:7642d896e1711291866a4dbbbcb46aabba2fef5d7bdf178bf275a6b3e35eb956
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6e6f80d780801f7db5bd5c50e97a744f1e7be7bf850440c1c4726bcc75e5ed4
3
+ size 5304