MayBashendy commited on
Commit
880adba
·
verified ·
1 Parent(s): 6a2f2e9

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +399 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,399 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k9_task2_organization
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k9_task2_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: 0.8703
19
+ - Qwk: 0.3478
20
+ - Mse: 0.8703
21
+ - Rmse: 0.9329
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 | 0.0417 | 2 | 4.7400 | -0.0132 | 4.7400 | 2.1772 |
53
+ | No log | 0.0833 | 4 | 3.0280 | -0.0390 | 3.0280 | 1.7401 |
54
+ | No log | 0.125 | 6 | 1.7496 | 0.0198 | 1.7496 | 1.3227 |
55
+ | No log | 0.1667 | 8 | 1.3961 | 0.0635 | 1.3961 | 1.1816 |
56
+ | No log | 0.2083 | 10 | 1.2078 | 0.1042 | 1.2078 | 1.0990 |
57
+ | No log | 0.25 | 12 | 1.2152 | 0.1379 | 1.2152 | 1.1024 |
58
+ | No log | 0.2917 | 14 | 1.4171 | 0.0269 | 1.4171 | 1.1904 |
59
+ | No log | 0.3333 | 16 | 1.2747 | 0.0750 | 1.2747 | 1.1290 |
60
+ | No log | 0.375 | 18 | 1.2593 | 0.0914 | 1.2593 | 1.1222 |
61
+ | No log | 0.4167 | 20 | 1.2526 | 0.1532 | 1.2526 | 1.1192 |
62
+ | No log | 0.4583 | 22 | 1.2175 | 0.0302 | 1.2175 | 1.1034 |
63
+ | No log | 0.5 | 24 | 1.2103 | 0.0802 | 1.2103 | 1.1001 |
64
+ | No log | 0.5417 | 26 | 1.1950 | 0.0904 | 1.1950 | 1.0931 |
65
+ | No log | 0.5833 | 28 | 1.1967 | 0.1009 | 1.1967 | 1.0939 |
66
+ | No log | 0.625 | 30 | 1.2721 | 0.0297 | 1.2721 | 1.1279 |
67
+ | No log | 0.6667 | 32 | 1.2922 | 0.0600 | 1.2922 | 1.1368 |
68
+ | No log | 0.7083 | 34 | 1.2206 | 0.1413 | 1.2206 | 1.1048 |
69
+ | No log | 0.75 | 36 | 1.1695 | 0.0741 | 1.1695 | 1.0814 |
70
+ | No log | 0.7917 | 38 | 1.1613 | 0.2143 | 1.1613 | 1.0777 |
71
+ | No log | 0.8333 | 40 | 1.1985 | 0.1990 | 1.1985 | 1.0948 |
72
+ | No log | 0.875 | 42 | 1.1679 | 0.2180 | 1.1679 | 1.0807 |
73
+ | No log | 0.9167 | 44 | 1.1428 | 0.2395 | 1.1428 | 1.0690 |
74
+ | No log | 0.9583 | 46 | 1.1673 | 0.2232 | 1.1673 | 1.0804 |
75
+ | No log | 1.0 | 48 | 1.2314 | 0.1875 | 1.2314 | 1.1097 |
76
+ | No log | 1.0417 | 50 | 1.1284 | 0.1988 | 1.1284 | 1.0623 |
77
+ | No log | 1.0833 | 52 | 1.0354 | 0.1722 | 1.0354 | 1.0175 |
78
+ | No log | 1.125 | 54 | 1.3814 | 0.0500 | 1.3814 | 1.1753 |
79
+ | No log | 1.1667 | 56 | 1.4182 | 0.1015 | 1.4182 | 1.1909 |
80
+ | No log | 1.2083 | 58 | 1.0964 | 0.1752 | 1.0964 | 1.0471 |
81
+ | No log | 1.25 | 60 | 0.9987 | 0.3463 | 0.9987 | 0.9993 |
82
+ | No log | 1.2917 | 62 | 1.0220 | 0.2723 | 1.0220 | 1.0110 |
83
+ | No log | 1.3333 | 64 | 1.0560 | 0.2121 | 1.0560 | 1.0276 |
84
+ | No log | 1.375 | 66 | 1.1022 | 0.2165 | 1.1022 | 1.0499 |
85
+ | No log | 1.4167 | 68 | 1.3394 | 0.2751 | 1.3394 | 1.1573 |
86
+ | No log | 1.4583 | 70 | 1.5037 | 0.3404 | 1.5037 | 1.2263 |
87
+ | No log | 1.5 | 72 | 1.4904 | 0.3416 | 1.4904 | 1.2208 |
88
+ | No log | 1.5417 | 74 | 1.3905 | 0.3511 | 1.3905 | 1.1792 |
89
+ | No log | 1.5833 | 76 | 1.0835 | 0.3590 | 1.0835 | 1.0409 |
90
+ | No log | 1.625 | 78 | 1.0028 | 0.3181 | 1.0028 | 1.0014 |
91
+ | No log | 1.6667 | 80 | 1.0504 | 0.2357 | 1.0504 | 1.0249 |
92
+ | No log | 1.7083 | 82 | 1.2098 | 0.2599 | 1.2098 | 1.0999 |
93
+ | No log | 1.75 | 84 | 1.3572 | 0.1048 | 1.3572 | 1.1650 |
94
+ | No log | 1.7917 | 86 | 1.1173 | 0.2043 | 1.1173 | 1.0570 |
95
+ | No log | 1.8333 | 88 | 0.9734 | 0.4938 | 0.9734 | 0.9866 |
96
+ | No log | 1.875 | 90 | 0.9882 | 0.4797 | 0.9882 | 0.9941 |
97
+ | No log | 1.9167 | 92 | 1.0420 | 0.2246 | 1.0420 | 1.0208 |
98
+ | No log | 1.9583 | 94 | 1.1835 | 0.0980 | 1.1835 | 1.0879 |
99
+ | No log | 2.0 | 96 | 1.1116 | 0.1282 | 1.1116 | 1.0543 |
100
+ | No log | 2.0417 | 98 | 0.9175 | 0.2822 | 0.9175 | 0.9578 |
101
+ | No log | 2.0833 | 100 | 0.9070 | 0.3965 | 0.9070 | 0.9524 |
102
+ | No log | 2.125 | 102 | 0.9216 | 0.3965 | 0.9216 | 0.9600 |
103
+ | No log | 2.1667 | 104 | 0.9216 | 0.3356 | 0.9216 | 0.9600 |
104
+ | No log | 2.2083 | 106 | 0.9838 | 0.2865 | 0.9838 | 0.9919 |
105
+ | No log | 2.25 | 108 | 0.9808 | 0.3069 | 0.9808 | 0.9903 |
106
+ | No log | 2.2917 | 110 | 1.0080 | 0.3225 | 1.0080 | 1.0040 |
107
+ | No log | 2.3333 | 112 | 1.1798 | 0.4346 | 1.1798 | 1.0862 |
108
+ | No log | 2.375 | 114 | 1.0450 | 0.4251 | 1.0450 | 1.0222 |
109
+ | No log | 2.4167 | 116 | 0.8776 | 0.4181 | 0.8776 | 0.9368 |
110
+ | No log | 2.4583 | 118 | 0.9433 | 0.4841 | 0.9433 | 0.9712 |
111
+ | No log | 2.5 | 120 | 0.9101 | 0.4434 | 0.9101 | 0.9540 |
112
+ | No log | 2.5417 | 122 | 0.8820 | 0.3957 | 0.8820 | 0.9391 |
113
+ | No log | 2.5833 | 124 | 1.0366 | 0.4167 | 1.0366 | 1.0181 |
114
+ | No log | 2.625 | 126 | 1.0774 | 0.4251 | 1.0774 | 1.0380 |
115
+ | No log | 2.6667 | 128 | 0.9970 | 0.4167 | 0.9970 | 0.9985 |
116
+ | No log | 2.7083 | 130 | 1.0099 | 0.4168 | 1.0099 | 1.0049 |
117
+ | No log | 2.75 | 132 | 1.0313 | 0.4050 | 1.0313 | 1.0156 |
118
+ | No log | 2.7917 | 134 | 0.9393 | 0.3742 | 0.9393 | 0.9692 |
119
+ | No log | 2.8333 | 136 | 0.8924 | 0.4239 | 0.8924 | 0.9446 |
120
+ | No log | 2.875 | 138 | 0.9111 | 0.3703 | 0.9111 | 0.9545 |
121
+ | No log | 2.9167 | 140 | 0.9590 | 0.3854 | 0.9590 | 0.9793 |
122
+ | No log | 2.9583 | 142 | 0.9211 | 0.3256 | 0.9211 | 0.9598 |
123
+ | No log | 3.0 | 144 | 1.1179 | 0.3437 | 1.1179 | 1.0573 |
124
+ | No log | 3.0417 | 146 | 0.9894 | 0.3848 | 0.9894 | 0.9947 |
125
+ | No log | 3.0833 | 148 | 1.0570 | 0.3333 | 1.0570 | 1.0281 |
126
+ | No log | 3.125 | 150 | 1.5266 | 0.2989 | 1.5266 | 1.2355 |
127
+ | No log | 3.1667 | 152 | 1.5053 | 0.1843 | 1.5053 | 1.2269 |
128
+ | No log | 3.2083 | 154 | 1.2230 | 0.2074 | 1.2230 | 1.1059 |
129
+ | No log | 3.25 | 156 | 0.9667 | 0.3497 | 0.9667 | 0.9832 |
130
+ | No log | 3.2917 | 158 | 1.0144 | 0.3814 | 1.0144 | 1.0072 |
131
+ | No log | 3.3333 | 160 | 0.9933 | 0.3497 | 0.9933 | 0.9967 |
132
+ | No log | 3.375 | 162 | 1.0714 | 0.2541 | 1.0714 | 1.0351 |
133
+ | No log | 3.4167 | 164 | 1.2696 | 0.2826 | 1.2696 | 1.1268 |
134
+ | No log | 3.4583 | 166 | 1.2188 | 0.2799 | 1.2188 | 1.1040 |
135
+ | No log | 3.5 | 168 | 1.0570 | 0.2273 | 1.0570 | 1.0281 |
136
+ | No log | 3.5417 | 170 | 1.0800 | 0.2886 | 1.0800 | 1.0392 |
137
+ | No log | 3.5833 | 172 | 1.0858 | 0.2532 | 1.0858 | 1.0420 |
138
+ | No log | 3.625 | 174 | 1.0359 | 0.2893 | 1.0359 | 1.0178 |
139
+ | No log | 3.6667 | 176 | 1.2096 | 0.3068 | 1.2096 | 1.0998 |
140
+ | No log | 3.7083 | 178 | 1.3102 | 0.2564 | 1.3102 | 1.1446 |
141
+ | No log | 3.75 | 180 | 1.2321 | 0.3068 | 1.2321 | 1.1100 |
142
+ | No log | 3.7917 | 182 | 1.0518 | 0.2883 | 1.0518 | 1.0256 |
143
+ | No log | 3.8333 | 184 | 1.0593 | 0.3511 | 1.0593 | 1.0292 |
144
+ | No log | 3.875 | 186 | 1.0560 | 0.3788 | 1.0560 | 1.0276 |
145
+ | No log | 3.9167 | 188 | 1.0238 | 0.3205 | 1.0238 | 1.0118 |
146
+ | No log | 3.9583 | 190 | 1.0989 | 0.2710 | 1.0989 | 1.0483 |
147
+ | No log | 4.0 | 192 | 1.2800 | 0.3143 | 1.2800 | 1.1314 |
148
+ | No log | 4.0417 | 194 | 1.2126 | 0.2833 | 1.2126 | 1.1012 |
149
+ | No log | 4.0833 | 196 | 1.1688 | 0.2781 | 1.1688 | 1.0811 |
150
+ | No log | 4.125 | 198 | 1.1044 | 0.2978 | 1.1044 | 1.0509 |
151
+ | No log | 4.1667 | 200 | 0.9948 | 0.2409 | 0.9948 | 0.9974 |
152
+ | No log | 4.2083 | 202 | 0.9169 | 0.3663 | 0.9169 | 0.9575 |
153
+ | No log | 4.25 | 204 | 0.9139 | 0.3873 | 0.9139 | 0.9560 |
154
+ | No log | 4.2917 | 206 | 0.9212 | 0.3909 | 0.9212 | 0.9598 |
155
+ | No log | 4.3333 | 208 | 0.9229 | 0.3437 | 0.9229 | 0.9607 |
156
+ | No log | 4.375 | 210 | 0.9342 | 0.3621 | 0.9342 | 0.9666 |
157
+ | No log | 4.4167 | 212 | 0.9612 | 0.4429 | 0.9612 | 0.9804 |
158
+ | No log | 4.4583 | 214 | 0.9413 | 0.4013 | 0.9413 | 0.9702 |
159
+ | No log | 4.5 | 216 | 0.9391 | 0.4606 | 0.9391 | 0.9691 |
160
+ | No log | 4.5417 | 218 | 1.0699 | 0.3262 | 1.0699 | 1.0344 |
161
+ | No log | 4.5833 | 220 | 1.0806 | 0.3262 | 1.0806 | 1.0395 |
162
+ | No log | 4.625 | 222 | 0.9256 | 0.4341 | 0.9256 | 0.9621 |
163
+ | No log | 4.6667 | 224 | 0.9236 | 0.4037 | 0.9236 | 0.9610 |
164
+ | No log | 4.7083 | 226 | 0.9418 | 0.4345 | 0.9418 | 0.9705 |
165
+ | No log | 4.75 | 228 | 0.8563 | 0.4540 | 0.8563 | 0.9254 |
166
+ | No log | 4.7917 | 230 | 0.8690 | 0.4974 | 0.8690 | 0.9322 |
167
+ | No log | 4.8333 | 232 | 0.8467 | 0.4974 | 0.8467 | 0.9201 |
168
+ | No log | 4.875 | 234 | 0.8822 | 0.3941 | 0.8822 | 0.9393 |
169
+ | No log | 4.9167 | 236 | 0.9541 | 0.3876 | 0.9541 | 0.9768 |
170
+ | No log | 4.9583 | 238 | 0.8957 | 0.3941 | 0.8957 | 0.9464 |
171
+ | No log | 5.0 | 240 | 0.8370 | 0.5061 | 0.8370 | 0.9149 |
172
+ | No log | 5.0417 | 242 | 0.8343 | 0.5463 | 0.8343 | 0.9134 |
173
+ | No log | 5.0833 | 244 | 0.8496 | 0.4979 | 0.8496 | 0.9217 |
174
+ | No log | 5.125 | 246 | 0.8814 | 0.4416 | 0.8814 | 0.9388 |
175
+ | No log | 5.1667 | 248 | 0.8794 | 0.4429 | 0.8794 | 0.9377 |
176
+ | No log | 5.2083 | 250 | 0.8388 | 0.4485 | 0.8388 | 0.9159 |
177
+ | No log | 5.25 | 252 | 0.8316 | 0.4977 | 0.8316 | 0.9119 |
178
+ | No log | 5.2917 | 254 | 0.8274 | 0.4485 | 0.8274 | 0.9096 |
179
+ | No log | 5.3333 | 256 | 0.8499 | 0.4568 | 0.8499 | 0.9219 |
180
+ | No log | 5.375 | 258 | 0.8456 | 0.4690 | 0.8456 | 0.9196 |
181
+ | No log | 5.4167 | 260 | 0.8138 | 0.4792 | 0.8138 | 0.9021 |
182
+ | No log | 5.4583 | 262 | 0.8114 | 0.5532 | 0.8114 | 0.9008 |
183
+ | No log | 5.5 | 264 | 0.8183 | 0.4976 | 0.8183 | 0.9046 |
184
+ | No log | 5.5417 | 266 | 0.8178 | 0.5357 | 0.8178 | 0.9043 |
185
+ | No log | 5.5833 | 268 | 0.8124 | 0.5923 | 0.8124 | 0.9013 |
186
+ | No log | 5.625 | 270 | 0.8984 | 0.4495 | 0.8984 | 0.9478 |
187
+ | No log | 5.6667 | 272 | 0.9070 | 0.3986 | 0.9070 | 0.9524 |
188
+ | No log | 5.7083 | 274 | 0.8380 | 0.5089 | 0.8380 | 0.9154 |
189
+ | No log | 5.75 | 276 | 0.8728 | 0.5364 | 0.8728 | 0.9342 |
190
+ | No log | 5.7917 | 278 | 0.8898 | 0.3838 | 0.8898 | 0.9433 |
191
+ | No log | 5.8333 | 280 | 0.9081 | 0.3164 | 0.9081 | 0.9529 |
192
+ | No log | 5.875 | 282 | 0.9050 | 0.3508 | 0.9050 | 0.9513 |
193
+ | No log | 5.9167 | 284 | 0.9289 | 0.3547 | 0.9289 | 0.9638 |
194
+ | No log | 5.9583 | 286 | 0.9288 | 0.3687 | 0.9288 | 0.9637 |
195
+ | No log | 6.0 | 288 | 0.9068 | 0.4874 | 0.9068 | 0.9522 |
196
+ | No log | 6.0417 | 290 | 0.9805 | 0.4078 | 0.9805 | 0.9902 |
197
+ | No log | 6.0833 | 292 | 0.8945 | 0.4645 | 0.8945 | 0.9458 |
198
+ | No log | 6.125 | 294 | 0.8857 | 0.4220 | 0.8857 | 0.9411 |
199
+ | No log | 6.1667 | 296 | 0.9070 | 0.4389 | 0.9070 | 0.9524 |
200
+ | No log | 6.2083 | 298 | 0.9135 | 0.4116 | 0.9135 | 0.9558 |
201
+ | No log | 6.25 | 300 | 0.9287 | 0.4221 | 0.9287 | 0.9637 |
202
+ | No log | 6.2917 | 302 | 0.9672 | 0.1649 | 0.9672 | 0.9834 |
203
+ | No log | 6.3333 | 304 | 1.0586 | 0.2250 | 1.0586 | 1.0289 |
204
+ | No log | 6.375 | 306 | 1.0685 | 0.2097 | 1.0685 | 1.0337 |
205
+ | No log | 6.4167 | 308 | 0.9996 | 0.1952 | 0.9996 | 0.9998 |
206
+ | No log | 6.4583 | 310 | 0.9349 | 0.2503 | 0.9349 | 0.9669 |
207
+ | No log | 6.5 | 312 | 0.9193 | 0.3017 | 0.9193 | 0.9588 |
208
+ | No log | 6.5417 | 314 | 0.9047 | 0.3493 | 0.9047 | 0.9511 |
209
+ | No log | 6.5833 | 316 | 0.9079 | 0.3335 | 0.9079 | 0.9528 |
210
+ | No log | 6.625 | 318 | 0.9793 | 0.3530 | 0.9793 | 0.9896 |
211
+ | No log | 6.6667 | 320 | 1.1014 | 0.3763 | 1.1014 | 1.0495 |
212
+ | No log | 6.7083 | 322 | 1.0933 | 0.3763 | 1.0933 | 1.0456 |
213
+ | No log | 6.75 | 324 | 0.9658 | 0.3802 | 0.9658 | 0.9827 |
214
+ | No log | 6.7917 | 326 | 0.9498 | 0.3931 | 0.9498 | 0.9746 |
215
+ | No log | 6.8333 | 328 | 0.9500 | 0.3931 | 0.9500 | 0.9747 |
216
+ | No log | 6.875 | 330 | 0.9346 | 0.3931 | 0.9346 | 0.9667 |
217
+ | No log | 6.9167 | 332 | 0.9010 | 0.3744 | 0.9010 | 0.9492 |
218
+ | No log | 6.9583 | 334 | 0.9968 | 0.3008 | 0.9968 | 0.9984 |
219
+ | No log | 7.0 | 336 | 1.0076 | 0.3008 | 1.0076 | 1.0038 |
220
+ | No log | 7.0417 | 338 | 0.9161 | 0.3663 | 0.9161 | 0.9571 |
221
+ | No log | 7.0833 | 340 | 0.9209 | 0.4575 | 0.9209 | 0.9596 |
222
+ | No log | 7.125 | 342 | 1.0971 | 0.3941 | 1.0971 | 1.0474 |
223
+ | No log | 7.1667 | 344 | 1.2117 | 0.3893 | 1.2117 | 1.1008 |
224
+ | No log | 7.2083 | 346 | 1.0733 | 0.4304 | 1.0733 | 1.0360 |
225
+ | No log | 7.25 | 348 | 0.9296 | 0.3448 | 0.9296 | 0.9642 |
226
+ | No log | 7.2917 | 350 | 0.9011 | 0.3478 | 0.9011 | 0.9492 |
227
+ | No log | 7.3333 | 352 | 0.9064 | 0.4203 | 0.9064 | 0.9520 |
228
+ | No log | 7.375 | 354 | 0.8995 | 0.4304 | 0.8995 | 0.9484 |
229
+ | No log | 7.4167 | 356 | 0.8553 | 0.3431 | 0.8553 | 0.9248 |
230
+ | No log | 7.4583 | 358 | 0.8509 | 0.3394 | 0.8509 | 0.9224 |
231
+ | No log | 7.5 | 360 | 0.8686 | 0.4542 | 0.8686 | 0.9320 |
232
+ | No log | 7.5417 | 362 | 0.8971 | 0.4475 | 0.8971 | 0.9472 |
233
+ | No log | 7.5833 | 364 | 0.8797 | 0.4475 | 0.8797 | 0.9379 |
234
+ | No log | 7.625 | 366 | 0.8602 | 0.4475 | 0.8602 | 0.9275 |
235
+ | No log | 7.6667 | 368 | 0.8945 | 0.4475 | 0.8945 | 0.9458 |
236
+ | No log | 7.7083 | 370 | 0.9004 | 0.4318 | 0.9004 | 0.9489 |
237
+ | No log | 7.75 | 372 | 0.9481 | 0.4048 | 0.9481 | 0.9737 |
238
+ | No log | 7.7917 | 374 | 0.9005 | 0.4604 | 0.9005 | 0.9489 |
239
+ | No log | 7.8333 | 376 | 0.8157 | 0.4059 | 0.8157 | 0.9031 |
240
+ | No log | 7.875 | 378 | 0.8529 | 0.3975 | 0.8529 | 0.9235 |
241
+ | No log | 7.9167 | 380 | 0.9097 | 0.4129 | 0.9097 | 0.9538 |
242
+ | No log | 7.9583 | 382 | 0.8513 | 0.4240 | 0.8513 | 0.9226 |
243
+ | No log | 8.0 | 384 | 0.8368 | 0.4866 | 0.8368 | 0.9148 |
244
+ | No log | 8.0417 | 386 | 0.8405 | 0.4866 | 0.8405 | 0.9168 |
245
+ | No log | 8.0833 | 388 | 0.8397 | 0.4583 | 0.8397 | 0.9164 |
246
+ | No log | 8.125 | 390 | 0.8603 | 0.4048 | 0.8603 | 0.9275 |
247
+ | No log | 8.1667 | 392 | 0.8809 | 0.4785 | 0.8809 | 0.9386 |
248
+ | No log | 8.2083 | 394 | 0.8500 | 0.4965 | 0.8500 | 0.9219 |
249
+ | No log | 8.25 | 396 | 0.8278 | 0.4898 | 0.8278 | 0.9099 |
250
+ | No log | 8.2917 | 398 | 0.8572 | 0.5255 | 0.8572 | 0.9258 |
251
+ | No log | 8.3333 | 400 | 0.8443 | 0.5255 | 0.8443 | 0.9189 |
252
+ | No log | 8.375 | 402 | 0.8229 | 0.5364 | 0.8229 | 0.9071 |
253
+ | No log | 8.4167 | 404 | 0.8579 | 0.4920 | 0.8579 | 0.9262 |
254
+ | No log | 8.4583 | 406 | 0.9127 | 0.4254 | 0.9127 | 0.9554 |
255
+ | No log | 8.5 | 408 | 0.9165 | 0.3816 | 0.9165 | 0.9573 |
256
+ | No log | 8.5417 | 410 | 0.8706 | 0.3729 | 0.8706 | 0.9331 |
257
+ | No log | 8.5833 | 412 | 0.8615 | 0.4363 | 0.8615 | 0.9282 |
258
+ | No log | 8.625 | 414 | 0.8782 | 0.4197 | 0.8782 | 0.9371 |
259
+ | No log | 8.6667 | 416 | 0.8494 | 0.4363 | 0.8494 | 0.9216 |
260
+ | No log | 8.7083 | 418 | 0.8584 | 0.4548 | 0.8584 | 0.9265 |
261
+ | No log | 8.75 | 420 | 0.8816 | 0.4488 | 0.8816 | 0.9390 |
262
+ | No log | 8.7917 | 422 | 0.8688 | 0.5711 | 0.8688 | 0.9321 |
263
+ | No log | 8.8333 | 424 | 0.8615 | 0.5711 | 0.8615 | 0.9282 |
264
+ | No log | 8.875 | 426 | 0.8731 | 0.5684 | 0.8731 | 0.9344 |
265
+ | No log | 8.9167 | 428 | 0.9062 | 0.4181 | 0.9062 | 0.9520 |
266
+ | No log | 8.9583 | 430 | 0.8974 | 0.4389 | 0.8974 | 0.9473 |
267
+ | No log | 9.0 | 432 | 0.8689 | 0.5711 | 0.8689 | 0.9321 |
268
+ | No log | 9.0417 | 434 | 0.8507 | 0.5738 | 0.8507 | 0.9223 |
269
+ | No log | 9.0833 | 436 | 0.8417 | 0.5580 | 0.8417 | 0.9175 |
270
+ | No log | 9.125 | 438 | 0.8536 | 0.4884 | 0.8536 | 0.9239 |
271
+ | No log | 9.1667 | 440 | 0.8695 | 0.4505 | 0.8695 | 0.9325 |
272
+ | No log | 9.2083 | 442 | 0.8842 | 0.4104 | 0.8842 | 0.9403 |
273
+ | No log | 9.25 | 444 | 0.8807 | 0.3695 | 0.8807 | 0.9385 |
274
+ | No log | 9.2917 | 446 | 0.8837 | 0.3695 | 0.8837 | 0.9401 |
275
+ | No log | 9.3333 | 448 | 0.9013 | 0.3970 | 0.9013 | 0.9494 |
276
+ | No log | 9.375 | 450 | 0.9674 | 0.4254 | 0.9674 | 0.9836 |
277
+ | No log | 9.4167 | 452 | 0.9887 | 0.4253 | 0.9887 | 0.9943 |
278
+ | No log | 9.4583 | 454 | 0.9705 | 0.4253 | 0.9705 | 0.9851 |
279
+ | No log | 9.5 | 456 | 0.8958 | 0.4352 | 0.8958 | 0.9465 |
280
+ | No log | 9.5417 | 458 | 0.8935 | 0.4064 | 0.8935 | 0.9452 |
281
+ | No log | 9.5833 | 460 | 0.9127 | 0.3300 | 0.9127 | 0.9554 |
282
+ | No log | 9.625 | 462 | 0.9032 | 0.3771 | 0.9032 | 0.9504 |
283
+ | No log | 9.6667 | 464 | 0.8760 | 0.3914 | 0.8760 | 0.9360 |
284
+ | No log | 9.7083 | 466 | 0.8632 | 0.4059 | 0.8632 | 0.9291 |
285
+ | No log | 9.75 | 468 | 0.8628 | 0.3380 | 0.8628 | 0.9288 |
286
+ | No log | 9.7917 | 470 | 0.8718 | 0.4067 | 0.8718 | 0.9337 |
287
+ | No log | 9.8333 | 472 | 0.8676 | 0.4067 | 0.8676 | 0.9314 |
288
+ | No log | 9.875 | 474 | 0.8495 | 0.4977 | 0.8495 | 0.9217 |
289
+ | No log | 9.9167 | 476 | 0.8582 | 0.4590 | 0.8582 | 0.9264 |
290
+ | No log | 9.9583 | 478 | 0.8392 | 0.4993 | 0.8392 | 0.9161 |
291
+ | No log | 10.0 | 480 | 0.8676 | 0.3436 | 0.8676 | 0.9314 |
292
+ | No log | 10.0417 | 482 | 1.0055 | 0.4502 | 1.0055 | 1.0027 |
293
+ | No log | 10.0833 | 484 | 1.1077 | 0.4155 | 1.1077 | 1.0525 |
294
+ | No log | 10.125 | 486 | 1.0632 | 0.4077 | 1.0632 | 1.0311 |
295
+ | No log | 10.1667 | 488 | 0.9039 | 0.4222 | 0.9039 | 0.9507 |
296
+ | No log | 10.2083 | 490 | 0.8153 | 0.4980 | 0.8153 | 0.9030 |
297
+ | No log | 10.25 | 492 | 0.8201 | 0.5381 | 0.8201 | 0.9056 |
298
+ | No log | 10.2917 | 494 | 0.8348 | 0.4409 | 0.8348 | 0.9137 |
299
+ | No log | 10.3333 | 496 | 0.9102 | 0.3299 | 0.9102 | 0.9541 |
300
+ | No log | 10.375 | 498 | 0.9852 | 0.4278 | 0.9852 | 0.9926 |
301
+ | 0.3977 | 10.4167 | 500 | 0.9748 | 0.3690 | 0.9748 | 0.9873 |
302
+ | 0.3977 | 10.4583 | 502 | 0.9103 | 0.3614 | 0.9103 | 0.9541 |
303
+ | 0.3977 | 10.5 | 504 | 0.8705 | 0.3380 | 0.8705 | 0.9330 |
304
+ | 0.3977 | 10.5417 | 506 | 0.8590 | 0.4423 | 0.8590 | 0.9268 |
305
+ | 0.3977 | 10.5833 | 508 | 0.8491 | 0.3621 | 0.8491 | 0.9215 |
306
+ | 0.3977 | 10.625 | 510 | 0.8761 | 0.3802 | 0.8761 | 0.9360 |
307
+ | 0.3977 | 10.6667 | 512 | 0.9831 | 0.3851 | 0.9831 | 0.9915 |
308
+ | 0.3977 | 10.7083 | 514 | 0.9692 | 0.3755 | 0.9692 | 0.9845 |
309
+ | 0.3977 | 10.75 | 516 | 0.8951 | 0.3834 | 0.8951 | 0.9461 |
310
+ | 0.3977 | 10.7917 | 518 | 0.8676 | 0.4726 | 0.8676 | 0.9314 |
311
+ | 0.3977 | 10.8333 | 520 | 0.8935 | 0.4763 | 0.8935 | 0.9452 |
312
+ | 0.3977 | 10.875 | 522 | 0.8905 | 0.5075 | 0.8905 | 0.9437 |
313
+ | 0.3977 | 10.9167 | 524 | 0.8426 | 0.4945 | 0.8426 | 0.9179 |
314
+ | 0.3977 | 10.9583 | 526 | 0.8708 | 0.3860 | 0.8708 | 0.9332 |
315
+ | 0.3977 | 11.0 | 528 | 0.8938 | 0.4685 | 0.8938 | 0.9454 |
316
+ | 0.3977 | 11.0417 | 530 | 0.8310 | 0.4833 | 0.8310 | 0.9116 |
317
+ | 0.3977 | 11.0833 | 532 | 0.7921 | 0.6035 | 0.7921 | 0.8900 |
318
+ | 0.3977 | 11.125 | 534 | 0.8141 | 0.5320 | 0.8141 | 0.9023 |
319
+ | 0.3977 | 11.1667 | 536 | 0.8025 | 0.5320 | 0.8025 | 0.8958 |
320
+ | 0.3977 | 11.2083 | 538 | 0.8064 | 0.5716 | 0.8064 | 0.8980 |
321
+ | 0.3977 | 11.25 | 540 | 0.8120 | 0.5408 | 0.8120 | 0.9011 |
322
+ | 0.3977 | 11.2917 | 542 | 0.8263 | 0.5211 | 0.8263 | 0.9090 |
323
+ | 0.3977 | 11.3333 | 544 | 0.8640 | 0.4607 | 0.8640 | 0.9295 |
324
+ | 0.3977 | 11.375 | 546 | 0.8524 | 0.5090 | 0.8524 | 0.9233 |
325
+ | 0.3977 | 11.4167 | 548 | 0.8280 | 0.5267 | 0.8280 | 0.9100 |
326
+ | 0.3977 | 11.4583 | 550 | 0.8370 | 0.4579 | 0.8370 | 0.9149 |
327
+ | 0.3977 | 11.5 | 552 | 0.8406 | 0.5230 | 0.8406 | 0.9168 |
328
+ | 0.3977 | 11.5417 | 554 | 0.8939 | 0.4851 | 0.8939 | 0.9454 |
329
+ | 0.3977 | 11.5833 | 556 | 0.9245 | 0.4306 | 0.9245 | 0.9615 |
330
+ | 0.3977 | 11.625 | 558 | 0.8635 | 0.4954 | 0.8635 | 0.9293 |
331
+ | 0.3977 | 11.6667 | 560 | 0.8146 | 0.5727 | 0.8146 | 0.9025 |
332
+ | 0.3977 | 11.7083 | 562 | 0.7799 | 0.5716 | 0.7799 | 0.8831 |
333
+ | 0.3977 | 11.75 | 564 | 0.7827 | 0.5595 | 0.7827 | 0.8847 |
334
+ | 0.3977 | 11.7917 | 566 | 0.8261 | 0.5401 | 0.8261 | 0.9089 |
335
+ | 0.3977 | 11.8333 | 568 | 0.8677 | 0.52 | 0.8677 | 0.9315 |
336
+ | 0.3977 | 11.875 | 570 | 0.8197 | 0.5183 | 0.8197 | 0.9054 |
337
+ | 0.3977 | 11.9167 | 572 | 0.7388 | 0.6209 | 0.7388 | 0.8595 |
338
+ | 0.3977 | 11.9583 | 574 | 0.7052 | 0.6687 | 0.7052 | 0.8397 |
339
+ | 0.3977 | 12.0 | 576 | 0.7037 | 0.7025 | 0.7037 | 0.8389 |
340
+ | 0.3977 | 12.0417 | 578 | 0.7185 | 0.6583 | 0.7185 | 0.8477 |
341
+ | 0.3977 | 12.0833 | 580 | 0.7180 | 0.6623 | 0.7180 | 0.8474 |
342
+ | 0.3977 | 12.125 | 582 | 0.7355 | 0.6244 | 0.7355 | 0.8576 |
343
+ | 0.3977 | 12.1667 | 584 | 0.7802 | 0.5536 | 0.7802 | 0.8833 |
344
+ | 0.3977 | 12.2083 | 586 | 0.7679 | 0.5849 | 0.7679 | 0.8763 |
345
+ | 0.3977 | 12.25 | 588 | 0.7657 | 0.5173 | 0.7657 | 0.8750 |
346
+ | 0.3977 | 12.2917 | 590 | 0.7761 | 0.4656 | 0.7761 | 0.8810 |
347
+ | 0.3977 | 12.3333 | 592 | 0.7891 | 0.4461 | 0.7891 | 0.8883 |
348
+ | 0.3977 | 12.375 | 594 | 0.7992 | 0.4590 | 0.7992 | 0.8940 |
349
+ | 0.3977 | 12.4167 | 596 | 0.7818 | 0.4803 | 0.7818 | 0.8842 |
350
+ | 0.3977 | 12.4583 | 598 | 0.7660 | 0.5835 | 0.7660 | 0.8752 |
351
+ | 0.3977 | 12.5 | 600 | 0.7587 | 0.5579 | 0.7587 | 0.8710 |
352
+ | 0.3977 | 12.5417 | 602 | 0.7607 | 0.5351 | 0.7607 | 0.8722 |
353
+ | 0.3977 | 12.5833 | 604 | 0.8033 | 0.3908 | 0.8033 | 0.8963 |
354
+ | 0.3977 | 12.625 | 606 | 0.8393 | 0.3902 | 0.8393 | 0.9161 |
355
+ | 0.3977 | 12.6667 | 608 | 0.8422 | 0.3902 | 0.8422 | 0.9177 |
356
+ | 0.3977 | 12.7083 | 610 | 0.8541 | 0.4093 | 0.8541 | 0.9242 |
357
+ | 0.3977 | 12.75 | 612 | 0.8157 | 0.3206 | 0.8157 | 0.9032 |
358
+ | 0.3977 | 12.7917 | 614 | 0.7998 | 0.2857 | 0.7998 | 0.8943 |
359
+ | 0.3977 | 12.8333 | 616 | 0.8118 | 0.3359 | 0.8118 | 0.9010 |
360
+ | 0.3977 | 12.875 | 618 | 0.8236 | 0.4130 | 0.8236 | 0.9075 |
361
+ | 0.3977 | 12.9167 | 620 | 0.8753 | 0.4641 | 0.8753 | 0.9356 |
362
+ | 0.3977 | 12.9583 | 622 | 0.8440 | 0.4222 | 0.8440 | 0.9187 |
363
+ | 0.3977 | 13.0 | 624 | 0.8078 | 0.4533 | 0.8078 | 0.8988 |
364
+ | 0.3977 | 13.0417 | 626 | 0.7693 | 0.5026 | 0.7693 | 0.8771 |
365
+ | 0.3977 | 13.0833 | 628 | 0.7707 | 0.5042 | 0.7707 | 0.8779 |
366
+ | 0.3977 | 13.125 | 630 | 0.7827 | 0.4685 | 0.7827 | 0.8847 |
367
+ | 0.3977 | 13.1667 | 632 | 0.8256 | 0.3520 | 0.8256 | 0.9086 |
368
+ | 0.3977 | 13.2083 | 634 | 0.8993 | 0.3730 | 0.8993 | 0.9483 |
369
+ | 0.3977 | 13.25 | 636 | 0.9810 | 0.4690 | 0.9810 | 0.9904 |
370
+ | 0.3977 | 13.2917 | 638 | 0.9946 | 0.4798 | 0.9946 | 0.9973 |
371
+ | 0.3977 | 13.3333 | 640 | 0.9402 | 0.4609 | 0.9402 | 0.9696 |
372
+ | 0.3977 | 13.375 | 642 | 0.8784 | 0.3268 | 0.8784 | 0.9372 |
373
+ | 0.3977 | 13.4167 | 644 | 0.8268 | 0.3643 | 0.8268 | 0.9093 |
374
+ | 0.3977 | 13.4583 | 646 | 0.8346 | 0.3979 | 0.8346 | 0.9135 |
375
+ | 0.3977 | 13.5 | 648 | 0.8928 | 0.4132 | 0.8928 | 0.9449 |
376
+ | 0.3977 | 13.5417 | 650 | 0.9745 | 0.4732 | 0.9745 | 0.9872 |
377
+ | 0.3977 | 13.5833 | 652 | 1.0796 | 0.4561 | 1.0796 | 1.0390 |
378
+ | 0.3977 | 13.625 | 654 | 1.0477 | 0.4677 | 1.0477 | 1.0236 |
379
+ | 0.3977 | 13.6667 | 656 | 0.9018 | 0.4132 | 0.9018 | 0.9496 |
380
+ | 0.3977 | 13.7083 | 658 | 0.8268 | 0.4107 | 0.8268 | 0.9093 |
381
+ | 0.3977 | 13.75 | 660 | 0.8396 | 0.4107 | 0.8396 | 0.9163 |
382
+ | 0.3977 | 13.7917 | 662 | 0.8794 | 0.3613 | 0.8794 | 0.9378 |
383
+ | 0.3977 | 13.8333 | 664 | 0.9668 | 0.4098 | 0.9668 | 0.9833 |
384
+ | 0.3977 | 13.875 | 666 | 1.0639 | 0.4471 | 1.0639 | 1.0314 |
385
+ | 0.3977 | 13.9167 | 668 | 1.0611 | 0.4476 | 1.0611 | 1.0301 |
386
+ | 0.3977 | 13.9583 | 670 | 0.9752 | 0.4609 | 0.9752 | 0.9875 |
387
+ | 0.3977 | 14.0 | 672 | 0.9018 | 0.3022 | 0.9018 | 0.9496 |
388
+ | 0.3977 | 14.0417 | 674 | 0.8686 | 0.3493 | 0.8686 | 0.9320 |
389
+ | 0.3977 | 14.0833 | 676 | 0.8772 | 0.3629 | 0.8772 | 0.9366 |
390
+ | 0.3977 | 14.125 | 678 | 0.8785 | 0.3629 | 0.8785 | 0.9373 |
391
+ | 0.3977 | 14.1667 | 680 | 0.8703 | 0.3478 | 0.8703 | 0.9329 |
392
+
393
+
394
+ ### Framework versions
395
+
396
+ - Transformers 4.44.2
397
+ - Pytorch 2.4.0+cu118
398
+ - Datasets 2.21.0
399
+ - 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 sha256:7ac2c54f679bb7a146eadd056588a479b73014eaa3e5ba48a7834cc7c74b6f98
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d1bac9c93e755592b4275b1ceebb36aec901c2062c7bcfe050f95feca1755f1
3
+ size 5368