Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k4_task3_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
4a70216
·
verified ·
1 Parent(s): 5d1dd8c

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +360 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,360 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k3_task3_organization
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k3_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: 0.8359
19
+ - Qwk: 0.1026
20
+ - Mse: 0.8359
21
+ - Rmse: 0.9143
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 | 0.125 | 2 | 3.6220 | -0.0068 | 3.6220 | 1.9031 |
53
+ | No log | 0.25 | 4 | 1.9644 | 0.0560 | 1.9644 | 1.4016 |
54
+ | No log | 0.375 | 6 | 2.0314 | 0.0119 | 2.0314 | 1.4253 |
55
+ | No log | 0.5 | 8 | 1.7099 | 0.0406 | 1.7099 | 1.3076 |
56
+ | No log | 0.625 | 10 | 0.8132 | 0.0191 | 0.8132 | 0.9018 |
57
+ | No log | 0.75 | 12 | 0.7240 | 0.0807 | 0.7240 | 0.8509 |
58
+ | No log | 0.875 | 14 | 0.8338 | -0.0408 | 0.8338 | 0.9131 |
59
+ | No log | 1.0 | 16 | 0.9645 | -0.0236 | 0.9645 | 0.9821 |
60
+ | No log | 1.125 | 18 | 0.7588 | 0.0549 | 0.7588 | 0.8711 |
61
+ | No log | 1.25 | 20 | 0.7054 | 0.1259 | 0.7054 | 0.8399 |
62
+ | No log | 1.375 | 22 | 0.7412 | 0.0512 | 0.7412 | 0.8609 |
63
+ | No log | 1.5 | 24 | 1.0371 | 0.0353 | 1.0371 | 1.0184 |
64
+ | No log | 1.625 | 26 | 0.8094 | 0.0377 | 0.8094 | 0.8997 |
65
+ | No log | 1.75 | 28 | 0.7919 | -0.1067 | 0.7919 | 0.8899 |
66
+ | No log | 1.875 | 30 | 0.8334 | 0.0128 | 0.8334 | 0.9129 |
67
+ | No log | 2.0 | 32 | 0.7632 | -0.1551 | 0.7632 | 0.8736 |
68
+ | No log | 2.125 | 34 | 0.7307 | 0.0670 | 0.7307 | 0.8548 |
69
+ | No log | 2.25 | 36 | 1.2096 | 0.1026 | 1.2096 | 1.0998 |
70
+ | No log | 2.375 | 38 | 1.1443 | 0.0823 | 1.1443 | 1.0697 |
71
+ | No log | 2.5 | 40 | 0.7357 | 0.0628 | 0.7357 | 0.8577 |
72
+ | No log | 2.625 | 42 | 0.7032 | -0.0520 | 0.7032 | 0.8386 |
73
+ | No log | 2.75 | 44 | 0.7208 | 0.1080 | 0.7208 | 0.8490 |
74
+ | No log | 2.875 | 46 | 0.7716 | 0.0551 | 0.7716 | 0.8784 |
75
+ | No log | 3.0 | 48 | 0.8619 | 0.0378 | 0.8619 | 0.9284 |
76
+ | No log | 3.125 | 50 | 0.8303 | 0.1168 | 0.8303 | 0.9112 |
77
+ | No log | 3.25 | 52 | 0.9212 | 0.0301 | 0.9212 | 0.9598 |
78
+ | No log | 3.375 | 54 | 0.8773 | 0.2126 | 0.8773 | 0.9366 |
79
+ | No log | 3.5 | 56 | 0.8969 | 0.2023 | 0.8969 | 0.9470 |
80
+ | No log | 3.625 | 58 | 0.9439 | 0.0689 | 0.9439 | 0.9715 |
81
+ | No log | 3.75 | 60 | 0.9489 | 0.0052 | 0.9489 | 0.9741 |
82
+ | No log | 3.875 | 62 | 0.8337 | 0.0211 | 0.8337 | 0.9130 |
83
+ | No log | 4.0 | 64 | 0.8447 | 0.0285 | 0.8447 | 0.9191 |
84
+ | No log | 4.125 | 66 | 0.9439 | 0.0498 | 0.9439 | 0.9716 |
85
+ | No log | 4.25 | 68 | 1.0249 | 0.0391 | 1.0249 | 1.0124 |
86
+ | No log | 4.375 | 70 | 0.8133 | 0.0545 | 0.8133 | 0.9018 |
87
+ | No log | 4.5 | 72 | 1.3515 | -0.0057 | 1.3515 | 1.1626 |
88
+ | No log | 4.625 | 74 | 1.2075 | 0.0596 | 1.2075 | 1.0989 |
89
+ | No log | 4.75 | 76 | 0.7706 | -0.1094 | 0.7706 | 0.8778 |
90
+ | No log | 4.875 | 78 | 1.3671 | 0.0119 | 1.3671 | 1.1692 |
91
+ | No log | 5.0 | 80 | 1.5231 | -0.0734 | 1.5231 | 1.2341 |
92
+ | No log | 5.125 | 82 | 0.9264 | 0.0877 | 0.9264 | 0.9625 |
93
+ | No log | 5.25 | 84 | 0.7717 | -0.0449 | 0.7717 | 0.8784 |
94
+ | No log | 5.375 | 86 | 0.8001 | -0.0345 | 0.8001 | 0.8945 |
95
+ | No log | 5.5 | 88 | 0.8401 | 0.0470 | 0.8401 | 0.9166 |
96
+ | No log | 5.625 | 90 | 1.0217 | 0.0659 | 1.0217 | 1.0108 |
97
+ | No log | 5.75 | 92 | 0.8517 | 0.0304 | 0.8517 | 0.9229 |
98
+ | No log | 5.875 | 94 | 0.9133 | 0.0770 | 0.9133 | 0.9557 |
99
+ | No log | 6.0 | 96 | 1.1852 | 0.0254 | 1.1852 | 1.0887 |
100
+ | No log | 6.125 | 98 | 0.9411 | 0.0815 | 0.9411 | 0.9701 |
101
+ | No log | 6.25 | 100 | 0.7608 | 0.0660 | 0.7608 | 0.8722 |
102
+ | No log | 6.375 | 102 | 0.7822 | 0.0871 | 0.7822 | 0.8844 |
103
+ | No log | 6.5 | 104 | 0.7595 | 0.2275 | 0.7595 | 0.8715 |
104
+ | No log | 6.625 | 106 | 0.9729 | 0.0142 | 0.9729 | 0.9864 |
105
+ | No log | 6.75 | 108 | 0.8871 | 0.0721 | 0.8871 | 0.9418 |
106
+ | No log | 6.875 | 110 | 0.8032 | 0.1093 | 0.8032 | 0.8962 |
107
+ | No log | 7.0 | 112 | 0.8474 | 0.0799 | 0.8474 | 0.9205 |
108
+ | No log | 7.125 | 114 | 0.7888 | 0.1767 | 0.7888 | 0.8882 |
109
+ | No log | 7.25 | 116 | 0.7615 | 0.2235 | 0.7615 | 0.8726 |
110
+ | No log | 7.375 | 118 | 0.7544 | 0.1537 | 0.7544 | 0.8686 |
111
+ | No log | 7.5 | 120 | 0.7161 | 0.1835 | 0.7161 | 0.8463 |
112
+ | No log | 7.625 | 122 | 0.8054 | 0.0719 | 0.8054 | 0.8974 |
113
+ | No log | 7.75 | 124 | 0.7660 | 0.1336 | 0.7660 | 0.8752 |
114
+ | No log | 7.875 | 126 | 0.7705 | 0.2235 | 0.7705 | 0.8778 |
115
+ | No log | 8.0 | 128 | 0.8236 | 0.1714 | 0.8236 | 0.9075 |
116
+ | No log | 8.125 | 130 | 0.9061 | 0.0998 | 0.9061 | 0.9519 |
117
+ | No log | 8.25 | 132 | 0.8977 | 0.1754 | 0.8977 | 0.9475 |
118
+ | No log | 8.375 | 134 | 0.8585 | 0.0074 | 0.8585 | 0.9265 |
119
+ | No log | 8.5 | 136 | 0.8449 | 0.2285 | 0.8449 | 0.9192 |
120
+ | No log | 8.625 | 138 | 0.7851 | 0.0509 | 0.7851 | 0.8861 |
121
+ | No log | 8.75 | 140 | 0.7815 | 0.0741 | 0.7815 | 0.8840 |
122
+ | No log | 8.875 | 142 | 0.7630 | 0.0412 | 0.7630 | 0.8735 |
123
+ | No log | 9.0 | 144 | 0.8195 | 0.1770 | 0.8195 | 0.9053 |
124
+ | No log | 9.125 | 146 | 1.0190 | 0.0747 | 1.0190 | 1.0095 |
125
+ | No log | 9.25 | 148 | 0.9018 | 0.1612 | 0.9018 | 0.9496 |
126
+ | No log | 9.375 | 150 | 0.8563 | 0.1259 | 0.8563 | 0.9254 |
127
+ | No log | 9.5 | 152 | 0.7996 | 0.1729 | 0.7996 | 0.8942 |
128
+ | No log | 9.625 | 154 | 0.7680 | 0.1031 | 0.7680 | 0.8764 |
129
+ | No log | 9.75 | 156 | 0.7328 | 0.0247 | 0.7328 | 0.8560 |
130
+ | No log | 9.875 | 158 | 0.7409 | 0.0670 | 0.7409 | 0.8607 |
131
+ | No log | 10.0 | 160 | 0.7147 | 0.0414 | 0.7147 | 0.8454 |
132
+ | No log | 10.125 | 162 | 0.7442 | 0.1408 | 0.7442 | 0.8627 |
133
+ | No log | 10.25 | 164 | 0.8249 | 0.0999 | 0.8249 | 0.9082 |
134
+ | No log | 10.375 | 166 | 0.7739 | 0.0947 | 0.7739 | 0.8797 |
135
+ | No log | 10.5 | 168 | 0.7596 | -0.0079 | 0.7596 | 0.8715 |
136
+ | No log | 10.625 | 170 | 0.7873 | 0.1408 | 0.7873 | 0.8873 |
137
+ | No log | 10.75 | 172 | 0.7888 | 0.0851 | 0.7888 | 0.8882 |
138
+ | No log | 10.875 | 174 | 0.7969 | 0.1310 | 0.7969 | 0.8927 |
139
+ | No log | 11.0 | 176 | 0.8033 | 0.1408 | 0.8033 | 0.8963 |
140
+ | No log | 11.125 | 178 | 0.7958 | 0.1686 | 0.7958 | 0.8921 |
141
+ | No log | 11.25 | 180 | 0.7781 | 0.1550 | 0.7781 | 0.8821 |
142
+ | No log | 11.375 | 182 | 0.7735 | 0.2156 | 0.7735 | 0.8795 |
143
+ | No log | 11.5 | 184 | 0.7719 | 0.1868 | 0.7719 | 0.8786 |
144
+ | No log | 11.625 | 186 | 0.7045 | 0.1413 | 0.7045 | 0.8393 |
145
+ | No log | 11.75 | 188 | 0.7161 | 0.2078 | 0.7161 | 0.8462 |
146
+ | No log | 11.875 | 190 | 0.6959 | 0.0926 | 0.6959 | 0.8342 |
147
+ | No log | 12.0 | 192 | 0.7107 | 0.0884 | 0.7107 | 0.8430 |
148
+ | No log | 12.125 | 194 | 0.7242 | 0.1778 | 0.7242 | 0.8510 |
149
+ | No log | 12.25 | 196 | 0.7474 | 0.1887 | 0.7474 | 0.8645 |
150
+ | No log | 12.375 | 198 | 0.6932 | 0.1840 | 0.6932 | 0.8326 |
151
+ | No log | 12.5 | 200 | 0.6767 | 0.1740 | 0.6767 | 0.8226 |
152
+ | No log | 12.625 | 202 | 0.7021 | 0.0095 | 0.7021 | 0.8379 |
153
+ | No log | 12.75 | 204 | 0.7345 | 0.0913 | 0.7345 | 0.8570 |
154
+ | No log | 12.875 | 206 | 0.6809 | 0.1807 | 0.6809 | 0.8252 |
155
+ | No log | 13.0 | 208 | 0.6779 | 0.1371 | 0.6779 | 0.8233 |
156
+ | No log | 13.125 | 210 | 0.7019 | 0.0639 | 0.7019 | 0.8378 |
157
+ | No log | 13.25 | 212 | 0.7667 | 0.1149 | 0.7667 | 0.8756 |
158
+ | No log | 13.375 | 214 | 0.7598 | 0.1239 | 0.7598 | 0.8717 |
159
+ | No log | 13.5 | 216 | 0.7269 | 0.1189 | 0.7269 | 0.8526 |
160
+ | No log | 13.625 | 218 | 0.7235 | 0.1340 | 0.7235 | 0.8506 |
161
+ | No log | 13.75 | 220 | 0.7318 | 0.1146 | 0.7318 | 0.8555 |
162
+ | No log | 13.875 | 222 | 0.7351 | 0.1096 | 0.7351 | 0.8574 |
163
+ | No log | 14.0 | 224 | 0.7154 | 0.0503 | 0.7154 | 0.8458 |
164
+ | No log | 14.125 | 226 | 0.7045 | 0.0914 | 0.7045 | 0.8394 |
165
+ | No log | 14.25 | 228 | 0.7176 | 0.1612 | 0.7176 | 0.8471 |
166
+ | No log | 14.375 | 230 | 0.7048 | 0.1807 | 0.7048 | 0.8395 |
167
+ | No log | 14.5 | 232 | 0.7000 | 0.1254 | 0.7000 | 0.8367 |
168
+ | No log | 14.625 | 234 | 0.6847 | -0.0032 | 0.6847 | 0.8275 |
169
+ | No log | 14.75 | 236 | 0.6736 | 0.0 | 0.6736 | 0.8207 |
170
+ | No log | 14.875 | 238 | 0.6638 | 0.1444 | 0.6638 | 0.8147 |
171
+ | No log | 15.0 | 240 | 0.6852 | 0.1627 | 0.6852 | 0.8278 |
172
+ | No log | 15.125 | 242 | 0.6748 | 0.0918 | 0.6748 | 0.8214 |
173
+ | No log | 15.25 | 244 | 0.7409 | 0.2219 | 0.7409 | 0.8608 |
174
+ | No log | 15.375 | 246 | 0.7521 | 0.2454 | 0.7521 | 0.8672 |
175
+ | No log | 15.5 | 248 | 0.8133 | 0.1487 | 0.8133 | 0.9018 |
176
+ | No log | 15.625 | 250 | 0.8273 | 0.1531 | 0.8273 | 0.9096 |
177
+ | No log | 15.75 | 252 | 0.7915 | 0.2264 | 0.7915 | 0.8897 |
178
+ | No log | 15.875 | 254 | 0.7700 | 0.2325 | 0.7700 | 0.8775 |
179
+ | No log | 16.0 | 256 | 0.7253 | 0.1232 | 0.7253 | 0.8516 |
180
+ | No log | 16.125 | 258 | 0.7301 | 0.1387 | 0.7301 | 0.8545 |
181
+ | No log | 16.25 | 260 | 0.7253 | 0.1440 | 0.7253 | 0.8517 |
182
+ | No log | 16.375 | 262 | 0.7068 | 0.1095 | 0.7068 | 0.8407 |
183
+ | No log | 16.5 | 264 | 0.7367 | 0.1859 | 0.7367 | 0.8583 |
184
+ | No log | 16.625 | 266 | 0.8004 | 0.1193 | 0.8004 | 0.8946 |
185
+ | No log | 16.75 | 268 | 0.8001 | 0.0755 | 0.8001 | 0.8945 |
186
+ | No log | 16.875 | 270 | 0.7030 | 0.3611 | 0.7030 | 0.8384 |
187
+ | No log | 17.0 | 272 | 0.7033 | 0.2168 | 0.7033 | 0.8386 |
188
+ | No log | 17.125 | 274 | 0.7057 | 0.2437 | 0.7057 | 0.8401 |
189
+ | No log | 17.25 | 276 | 0.7982 | 0.0755 | 0.7982 | 0.8934 |
190
+ | No log | 17.375 | 278 | 0.7470 | 0.1387 | 0.7470 | 0.8643 |
191
+ | No log | 17.5 | 280 | 0.6762 | 0.2195 | 0.6762 | 0.8223 |
192
+ | No log | 17.625 | 282 | 0.6783 | 0.2195 | 0.6783 | 0.8236 |
193
+ | No log | 17.75 | 284 | 0.7291 | 0.1048 | 0.7291 | 0.8539 |
194
+ | No log | 17.875 | 286 | 0.8037 | 0.1239 | 0.8037 | 0.8965 |
195
+ | No log | 18.0 | 288 | 0.7549 | 0.1049 | 0.7549 | 0.8688 |
196
+ | No log | 18.125 | 290 | 0.7494 | 0.2522 | 0.7494 | 0.8657 |
197
+ | No log | 18.25 | 292 | 0.7350 | 0.2194 | 0.7350 | 0.8573 |
198
+ | No log | 18.375 | 294 | 0.7423 | 0.0562 | 0.7423 | 0.8616 |
199
+ | No log | 18.5 | 296 | 0.7461 | 0.0956 | 0.7461 | 0.8638 |
200
+ | No log | 18.625 | 298 | 0.7526 | 0.0956 | 0.7526 | 0.8676 |
201
+ | No log | 18.75 | 300 | 0.6775 | 0.1675 | 0.6775 | 0.8231 |
202
+ | No log | 18.875 | 302 | 0.6759 | 0.1423 | 0.6759 | 0.8221 |
203
+ | No log | 19.0 | 304 | 0.7093 | 0.0557 | 0.7093 | 0.8422 |
204
+ | No log | 19.125 | 306 | 0.8181 | 0.1078 | 0.8181 | 0.9045 |
205
+ | No log | 19.25 | 308 | 0.7728 | 0.2258 | 0.7728 | 0.8791 |
206
+ | No log | 19.375 | 310 | 0.6973 | 0.1354 | 0.6973 | 0.8351 |
207
+ | No log | 19.5 | 312 | 0.7806 | 0.1239 | 0.7806 | 0.8835 |
208
+ | No log | 19.625 | 314 | 0.8490 | 0.1150 | 0.8490 | 0.9214 |
209
+ | No log | 19.75 | 316 | 0.7526 | 0.0999 | 0.7526 | 0.8675 |
210
+ | No log | 19.875 | 318 | 0.6625 | 0.0914 | 0.6625 | 0.8139 |
211
+ | No log | 20.0 | 320 | 0.6594 | 0.0436 | 0.6594 | 0.8120 |
212
+ | No log | 20.125 | 322 | 0.6675 | 0.0914 | 0.6675 | 0.8170 |
213
+ | No log | 20.25 | 324 | 0.7026 | 0.1146 | 0.7026 | 0.8382 |
214
+ | No log | 20.375 | 326 | 0.7580 | 0.0490 | 0.7580 | 0.8706 |
215
+ | No log | 20.5 | 328 | 0.7169 | 0.1047 | 0.7169 | 0.8467 |
216
+ | No log | 20.625 | 330 | 0.7003 | 0.1362 | 0.7003 | 0.8368 |
217
+ | No log | 20.75 | 332 | 0.6984 | 0.1311 | 0.6984 | 0.8357 |
218
+ | No log | 20.875 | 334 | 0.7343 | 0.1047 | 0.7343 | 0.8569 |
219
+ | No log | 21.0 | 336 | 0.7689 | 0.0956 | 0.7689 | 0.8769 |
220
+ | No log | 21.125 | 338 | 0.7183 | 0.1612 | 0.7183 | 0.8475 |
221
+ | No log | 21.25 | 340 | 0.7295 | 0.1379 | 0.7295 | 0.8541 |
222
+ | No log | 21.375 | 342 | 0.7693 | 0.2087 | 0.7693 | 0.8771 |
223
+ | No log | 21.5 | 344 | 0.7380 | 0.1660 | 0.7380 | 0.8591 |
224
+ | No log | 21.625 | 346 | 0.7673 | 0.1047 | 0.7673 | 0.8760 |
225
+ | No log | 21.75 | 348 | 0.7476 | 0.1047 | 0.7476 | 0.8646 |
226
+ | No log | 21.875 | 350 | 0.6948 | 0.1787 | 0.6948 | 0.8336 |
227
+ | No log | 22.0 | 352 | 0.6720 | 0.1371 | 0.6720 | 0.8198 |
228
+ | No log | 22.125 | 354 | 0.6715 | 0.1371 | 0.6715 | 0.8194 |
229
+ | No log | 22.25 | 356 | 0.6843 | 0.1740 | 0.6843 | 0.8272 |
230
+ | No log | 22.375 | 358 | 0.7098 | 0.1675 | 0.7098 | 0.8425 |
231
+ | No log | 22.5 | 360 | 0.7831 | 0.1687 | 0.7831 | 0.8849 |
232
+ | No log | 22.625 | 362 | 0.9302 | 0.1077 | 0.9302 | 0.9645 |
233
+ | No log | 22.75 | 364 | 0.9438 | 0.1077 | 0.9438 | 0.9715 |
234
+ | No log | 22.875 | 366 | 0.8177 | 0.1430 | 0.8177 | 0.9043 |
235
+ | No log | 23.0 | 368 | 0.7336 | 0.1859 | 0.7336 | 0.8565 |
236
+ | No log | 23.125 | 370 | 0.6950 | 0.1740 | 0.6950 | 0.8337 |
237
+ | No log | 23.25 | 372 | 0.6975 | 0.1612 | 0.6975 | 0.8351 |
238
+ | No log | 23.375 | 374 | 0.7615 | 0.2141 | 0.7615 | 0.8727 |
239
+ | No log | 23.5 | 376 | 0.7905 | 0.1150 | 0.7905 | 0.8891 |
240
+ | No log | 23.625 | 378 | 0.7434 | 0.1342 | 0.7434 | 0.8622 |
241
+ | No log | 23.75 | 380 | 0.7177 | 0.0562 | 0.7177 | 0.8472 |
242
+ | No log | 23.875 | 382 | 0.7032 | 0.1553 | 0.7032 | 0.8386 |
243
+ | No log | 24.0 | 384 | 0.7078 | 0.1287 | 0.7078 | 0.8413 |
244
+ | No log | 24.125 | 386 | 0.7404 | 0.2926 | 0.7404 | 0.8604 |
245
+ | No log | 24.25 | 388 | 0.7371 | 0.1660 | 0.7371 | 0.8586 |
246
+ | No log | 24.375 | 390 | 0.8322 | 0.0755 | 0.8322 | 0.9123 |
247
+ | No log | 24.5 | 392 | 0.9173 | 0.1189 | 0.9173 | 0.9578 |
248
+ | No log | 24.625 | 394 | 0.8734 | 0.1453 | 0.8734 | 0.9346 |
249
+ | No log | 24.75 | 396 | 0.7585 | 0.1716 | 0.7585 | 0.8709 |
250
+ | No log | 24.875 | 398 | 0.6766 | 0.1506 | 0.6766 | 0.8226 |
251
+ | No log | 25.0 | 400 | 0.6467 | 0.1371 | 0.6467 | 0.8042 |
252
+ | No log | 25.125 | 402 | 0.6447 | 0.1371 | 0.6447 | 0.8029 |
253
+ | No log | 25.25 | 404 | 0.6687 | 0.1506 | 0.6687 | 0.8178 |
254
+ | No log | 25.375 | 406 | 0.7699 | 0.1196 | 0.7699 | 0.8774 |
255
+ | No log | 25.5 | 408 | 0.7991 | 0.1502 | 0.7991 | 0.8939 |
256
+ | No log | 25.625 | 410 | 0.7184 | 0.1387 | 0.7184 | 0.8476 |
257
+ | No log | 25.75 | 412 | 0.6851 | 0.1249 | 0.6851 | 0.8277 |
258
+ | No log | 25.875 | 414 | 0.6752 | 0.0821 | 0.6752 | 0.8217 |
259
+ | No log | 26.0 | 416 | 0.6672 | 0.1675 | 0.6672 | 0.8168 |
260
+ | No log | 26.125 | 418 | 0.6639 | 0.2180 | 0.6639 | 0.8148 |
261
+ | No log | 26.25 | 420 | 0.6555 | 0.1675 | 0.6555 | 0.8096 |
262
+ | No log | 26.375 | 422 | 0.6582 | 0.1311 | 0.6582 | 0.8113 |
263
+ | No log | 26.5 | 424 | 0.6563 | 0.1675 | 0.6563 | 0.8101 |
264
+ | No log | 26.625 | 426 | 0.6536 | 0.1740 | 0.6536 | 0.8085 |
265
+ | No log | 26.75 | 428 | 0.6541 | 0.2105 | 0.6541 | 0.8088 |
266
+ | No log | 26.875 | 430 | 0.6388 | 0.0914 | 0.6388 | 0.7992 |
267
+ | No log | 27.0 | 432 | 0.6383 | 0.0914 | 0.6383 | 0.7989 |
268
+ | No log | 27.125 | 434 | 0.6428 | 0.0914 | 0.6428 | 0.8018 |
269
+ | No log | 27.25 | 436 | 0.6747 | 0.0436 | 0.6747 | 0.8214 |
270
+ | No log | 27.375 | 438 | 0.6820 | 0.1413 | 0.6820 | 0.8259 |
271
+ | No log | 27.5 | 440 | 0.6808 | 0.1254 | 0.6808 | 0.8251 |
272
+ | No log | 27.625 | 442 | 0.6888 | 0.2122 | 0.6888 | 0.8299 |
273
+ | No log | 27.75 | 444 | 0.6821 | 0.1311 | 0.6821 | 0.8259 |
274
+ | No log | 27.875 | 446 | 0.6705 | 0.0863 | 0.6705 | 0.8189 |
275
+ | No log | 28.0 | 448 | 0.6799 | 0.2105 | 0.6799 | 0.8246 |
276
+ | No log | 28.125 | 450 | 0.6963 | 0.1047 | 0.6963 | 0.8345 |
277
+ | No log | 28.25 | 452 | 0.6971 | 0.0600 | 0.6971 | 0.8349 |
278
+ | No log | 28.375 | 454 | 0.6961 | 0.0821 | 0.6961 | 0.8343 |
279
+ | No log | 28.5 | 456 | 0.7201 | 0.1287 | 0.7201 | 0.8486 |
280
+ | No log | 28.625 | 458 | 0.7178 | 0.1585 | 0.7178 | 0.8472 |
281
+ | No log | 28.75 | 460 | 0.7619 | 0.1286 | 0.7619 | 0.8729 |
282
+ | No log | 28.875 | 462 | 0.8091 | 0.1193 | 0.8091 | 0.8995 |
283
+ | No log | 29.0 | 464 | 0.7619 | 0.0913 | 0.7619 | 0.8729 |
284
+ | No log | 29.125 | 466 | 0.7626 | 0.0913 | 0.7626 | 0.8733 |
285
+ | No log | 29.25 | 468 | 0.7478 | 0.0611 | 0.7478 | 0.8648 |
286
+ | No log | 29.375 | 470 | 0.7613 | 0.0504 | 0.7613 | 0.8725 |
287
+ | No log | 29.5 | 472 | 0.7685 | 0.0913 | 0.7685 | 0.8766 |
288
+ | No log | 29.625 | 474 | 0.7238 | 0.1096 | 0.7238 | 0.8507 |
289
+ | No log | 29.75 | 476 | 0.6860 | 0.1675 | 0.6860 | 0.8283 |
290
+ | No log | 29.875 | 478 | 0.6808 | 0.1675 | 0.6808 | 0.8251 |
291
+ | No log | 30.0 | 480 | 0.6799 | 0.1675 | 0.6799 | 0.8245 |
292
+ | No log | 30.125 | 482 | 0.6923 | 0.1354 | 0.6923 | 0.8320 |
293
+ | No log | 30.25 | 484 | 0.7158 | 0.0488 | 0.7158 | 0.8460 |
294
+ | No log | 30.375 | 486 | 0.7136 | 0.1413 | 0.7136 | 0.8447 |
295
+ | No log | 30.5 | 488 | 0.7020 | 0.1659 | 0.7020 | 0.8378 |
296
+ | No log | 30.625 | 490 | 0.7635 | 0.0871 | 0.7635 | 0.8738 |
297
+ | No log | 30.75 | 492 | 0.7697 | 0.0831 | 0.7697 | 0.8773 |
298
+ | No log | 30.875 | 494 | 0.7273 | 0.1599 | 0.7273 | 0.8528 |
299
+ | No log | 31.0 | 496 | 0.7189 | 0.2096 | 0.7189 | 0.8479 |
300
+ | No log | 31.125 | 498 | 0.7256 | 0.1612 | 0.7256 | 0.8518 |
301
+ | 0.2186 | 31.25 | 500 | 0.7297 | 0.1096 | 0.7297 | 0.8542 |
302
+ | 0.2186 | 31.375 | 502 | 0.7659 | 0.1387 | 0.7659 | 0.8752 |
303
+ | 0.2186 | 31.5 | 504 | 0.7724 | 0.1387 | 0.7724 | 0.8789 |
304
+ | 0.2186 | 31.625 | 506 | 0.7757 | 0.1716 | 0.7757 | 0.8808 |
305
+ | 0.2186 | 31.75 | 508 | 0.8418 | 0.0676 | 0.8418 | 0.9175 |
306
+ | 0.2186 | 31.875 | 510 | 0.8566 | 0.0304 | 0.8566 | 0.9255 |
307
+ | 0.2186 | 32.0 | 512 | 0.8532 | 0.1437 | 0.8532 | 0.9237 |
308
+ | 0.2186 | 32.125 | 514 | 0.7861 | 0.0650 | 0.7861 | 0.8866 |
309
+ | 0.2186 | 32.25 | 516 | 0.7585 | 0.1630 | 0.7585 | 0.8709 |
310
+ | 0.2186 | 32.375 | 518 | 0.7454 | 0.1192 | 0.7454 | 0.8634 |
311
+ | 0.2186 | 32.5 | 520 | 0.7374 | 0.1192 | 0.7374 | 0.8587 |
312
+ | 0.2186 | 32.625 | 522 | 0.7264 | 0.1192 | 0.7264 | 0.8523 |
313
+ | 0.2186 | 32.75 | 524 | 0.7165 | 0.1196 | 0.7165 | 0.8465 |
314
+ | 0.2186 | 32.875 | 526 | 0.7211 | 0.1675 | 0.7211 | 0.8492 |
315
+ | 0.2186 | 33.0 | 528 | 0.7314 | 0.2105 | 0.7314 | 0.8552 |
316
+ | 0.2186 | 33.125 | 530 | 0.7197 | 0.1249 | 0.7197 | 0.8484 |
317
+ | 0.2186 | 33.25 | 532 | 0.7284 | 0.1298 | 0.7284 | 0.8535 |
318
+ | 0.2186 | 33.375 | 534 | 0.7554 | 0.2181 | 0.7554 | 0.8691 |
319
+ | 0.2186 | 33.5 | 536 | 0.7651 | 0.1689 | 0.7651 | 0.8747 |
320
+ | 0.2186 | 33.625 | 538 | 0.7889 | 0.1143 | 0.7889 | 0.8882 |
321
+ | 0.2186 | 33.75 | 540 | 0.7660 | 0.1689 | 0.7660 | 0.8752 |
322
+ | 0.2186 | 33.875 | 542 | 0.7432 | 0.1244 | 0.7432 | 0.8621 |
323
+ | 0.2186 | 34.0 | 544 | 0.7429 | 0.1599 | 0.7429 | 0.8619 |
324
+ | 0.2186 | 34.125 | 546 | 0.7878 | 0.1742 | 0.7878 | 0.8876 |
325
+ | 0.2186 | 34.25 | 548 | 0.7809 | 0.1440 | 0.7809 | 0.8837 |
326
+ | 0.2186 | 34.375 | 550 | 0.7293 | 0.1659 | 0.7293 | 0.8540 |
327
+ | 0.2186 | 34.5 | 552 | 0.7374 | 0.2168 | 0.7374 | 0.8587 |
328
+ | 0.2186 | 34.625 | 554 | 0.7494 | 0.2168 | 0.7494 | 0.8657 |
329
+ | 0.2186 | 34.75 | 556 | 0.7403 | 0.2519 | 0.7403 | 0.8604 |
330
+ | 0.2186 | 34.875 | 558 | 0.7384 | 0.1964 | 0.7384 | 0.8593 |
331
+ | 0.2186 | 35.0 | 560 | 0.7436 | 0.1859 | 0.7436 | 0.8623 |
332
+ | 0.2186 | 35.125 | 562 | 0.7455 | 0.1859 | 0.7455 | 0.8634 |
333
+ | 0.2186 | 35.25 | 564 | 0.7433 | 0.1986 | 0.7433 | 0.8621 |
334
+ | 0.2186 | 35.375 | 566 | 0.7261 | 0.1573 | 0.7261 | 0.8521 |
335
+ | 0.2186 | 35.5 | 568 | 0.7254 | 0.1674 | 0.7254 | 0.8517 |
336
+ | 0.2186 | 35.625 | 570 | 0.7214 | 0.1617 | 0.7214 | 0.8493 |
337
+ | 0.2186 | 35.75 | 572 | 0.7171 | 0.1518 | 0.7171 | 0.8468 |
338
+ | 0.2186 | 35.875 | 574 | 0.7318 | 0.1859 | 0.7318 | 0.8555 |
339
+ | 0.2186 | 36.0 | 576 | 0.7730 | 0.1701 | 0.7730 | 0.8792 |
340
+ | 0.2186 | 36.125 | 578 | 0.7558 | 0.2318 | 0.7558 | 0.8694 |
341
+ | 0.2186 | 36.25 | 580 | 0.7147 | 0.2034 | 0.7147 | 0.8454 |
342
+ | 0.2186 | 36.375 | 582 | 0.7107 | 0.1553 | 0.7107 | 0.8430 |
343
+ | 0.2186 | 36.5 | 584 | 0.7128 | 0.1612 | 0.7128 | 0.8443 |
344
+ | 0.2186 | 36.625 | 586 | 0.7136 | 0.1347 | 0.7136 | 0.8448 |
345
+ | 0.2186 | 36.75 | 588 | 0.7318 | 0.1340 | 0.7318 | 0.8555 |
346
+ | 0.2186 | 36.875 | 590 | 0.7325 | 0.1340 | 0.7325 | 0.8558 |
347
+ | 0.2186 | 37.0 | 592 | 0.7381 | 0.1192 | 0.7381 | 0.8591 |
348
+ | 0.2186 | 37.125 | 594 | 0.7640 | 0.1095 | 0.7640 | 0.8741 |
349
+ | 0.2186 | 37.25 | 596 | 0.7861 | 0.0961 | 0.7861 | 0.8866 |
350
+ | 0.2186 | 37.375 | 598 | 0.7934 | 0.0961 | 0.7934 | 0.8907 |
351
+ | 0.2186 | 37.5 | 600 | 0.8059 | 0.0734 | 0.8059 | 0.8977 |
352
+ | 0.2186 | 37.625 | 602 | 0.8359 | 0.1026 | 0.8359 | 0.9143 |
353
+
354
+
355
+ ### Framework versions
356
+
357
+ - Transformers 4.44.2
358
+ - Pytorch 2.4.0+cu118
359
+ - Datasets 2.21.0
360
+ - 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:f98d526eec58050dc1ebca1e9a22cf37e6455a21f400dc4940a9d84a01cef94a
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d92a3e5b9f0ce295eb895f8904a54bf3531bfaf1416b09e544a9ce9cc75445be
3
+ size 5304