Hugging Face's logo

MayBashendy
/
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
MayBashendy commited on
Commit
37c3c50
·
verified ·
1 Parent(s): 6640462

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +385 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,385 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task1_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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task1_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: 0.7160
19
+ - Qwk: 0.7067
20
+ - Mse: 0.7160
21
+ - Rmse: 0.8461
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 | 0.0455 | 2 | 7.0941 | 0.0056 | 7.0941 | 2.6635 |
53
+ | No log | 0.0909 | 4 | 4.4840 | 0.0833 | 4.4840 | 2.1176 |
54
+ | No log | 0.1364 | 6 | 3.1904 | 0.0351 | 3.1904 | 1.7862 |
55
+ | No log | 0.1818 | 8 | 2.2708 | 0.2098 | 2.2708 | 1.5069 |
56
+ | No log | 0.2273 | 10 | 2.0009 | 0.25 | 2.0009 | 1.4145 |
57
+ | No log | 0.2727 | 12 | 2.2200 | 0.1517 | 2.2200 | 1.4900 |
58
+ | No log | 0.3182 | 14 | 1.7268 | 0.35 | 1.7268 | 1.3141 |
59
+ | No log | 0.3636 | 16 | 1.6731 | 0.3306 | 1.6731 | 1.2935 |
60
+ | No log | 0.4091 | 18 | 2.0013 | 0.3309 | 2.0013 | 1.4147 |
61
+ | No log | 0.4545 | 20 | 2.5620 | 0.1818 | 2.5620 | 1.6006 |
62
+ | No log | 0.5 | 22 | 2.2744 | 0.2166 | 2.2744 | 1.5081 |
63
+ | No log | 0.5455 | 24 | 1.7147 | 0.3472 | 1.7147 | 1.3095 |
64
+ | No log | 0.5909 | 26 | 1.3223 | 0.4580 | 1.3223 | 1.1499 |
65
+ | No log | 0.6364 | 28 | 1.2878 | 0.4604 | 1.2878 | 1.1348 |
66
+ | No log | 0.6818 | 30 | 1.3530 | 0.5256 | 1.3530 | 1.1632 |
67
+ | No log | 0.7273 | 32 | 1.3761 | 0.5570 | 1.3761 | 1.1731 |
68
+ | No log | 0.7727 | 34 | 1.4005 | 0.5590 | 1.4005 | 1.1834 |
69
+ | No log | 0.8182 | 36 | 1.1385 | 0.5850 | 1.1385 | 1.0670 |
70
+ | No log | 0.8636 | 38 | 0.9905 | 0.6294 | 0.9905 | 0.9952 |
71
+ | No log | 0.9091 | 40 | 1.0703 | 0.6345 | 1.0703 | 1.0345 |
72
+ | No log | 0.9545 | 42 | 1.2917 | 0.5882 | 1.2917 | 1.1365 |
73
+ | No log | 1.0 | 44 | 2.0309 | 0.3568 | 2.0309 | 1.4251 |
74
+ | No log | 1.0455 | 46 | 2.2695 | 0.3560 | 2.2695 | 1.5065 |
75
+ | No log | 1.0909 | 48 | 1.7863 | 0.4094 | 1.7863 | 1.3365 |
76
+ | No log | 1.1364 | 50 | 1.1469 | 0.5972 | 1.1469 | 1.0709 |
77
+ | No log | 1.1818 | 52 | 0.9223 | 0.6423 | 0.9223 | 0.9604 |
78
+ | No log | 1.2273 | 54 | 0.9189 | 0.6176 | 0.9189 | 0.9586 |
79
+ | No log | 1.2727 | 56 | 1.0656 | 0.6 | 1.0656 | 1.0323 |
80
+ | No log | 1.3182 | 58 | 1.3376 | 0.5612 | 1.3376 | 1.1566 |
81
+ | No log | 1.3636 | 60 | 1.6430 | 0.4545 | 1.6430 | 1.2818 |
82
+ | No log | 1.4091 | 62 | 1.3846 | 0.5882 | 1.3846 | 1.1767 |
83
+ | No log | 1.4545 | 64 | 0.6989 | 0.7517 | 0.6989 | 0.8360 |
84
+ | No log | 1.5 | 66 | 0.6190 | 0.7531 | 0.6190 | 0.7868 |
85
+ | No log | 1.5455 | 68 | 0.6499 | 0.8242 | 0.6499 | 0.8062 |
86
+ | No log | 1.5909 | 70 | 1.2504 | 0.5976 | 1.2504 | 1.1182 |
87
+ | No log | 1.6364 | 72 | 2.4126 | 0.36 | 2.4126 | 1.5533 |
88
+ | No log | 1.6818 | 74 | 2.4358 | 0.3483 | 2.4358 | 1.5607 |
89
+ | No log | 1.7273 | 76 | 1.5801 | 0.4910 | 1.5801 | 1.2570 |
90
+ | No log | 1.7727 | 78 | 0.9321 | 0.6579 | 0.9321 | 0.9654 |
91
+ | No log | 1.8182 | 80 | 0.7829 | 0.6714 | 0.7829 | 0.8848 |
92
+ | No log | 1.8636 | 82 | 0.7882 | 0.6812 | 0.7882 | 0.8878 |
93
+ | No log | 1.9091 | 84 | 0.8146 | 0.6806 | 0.8146 | 0.9025 |
94
+ | No log | 1.9545 | 86 | 0.9811 | 0.7368 | 0.9811 | 0.9905 |
95
+ | No log | 2.0 | 88 | 1.3408 | 0.5749 | 1.3408 | 1.1579 |
96
+ | No log | 2.0455 | 90 | 1.3948 | 0.5647 | 1.3948 | 1.1810 |
97
+ | No log | 2.0909 | 92 | 1.0738 | 0.6467 | 1.0738 | 1.0363 |
98
+ | No log | 2.1364 | 94 | 0.9313 | 0.7081 | 0.9313 | 0.9650 |
99
+ | No log | 2.1818 | 96 | 0.9025 | 0.7081 | 0.9025 | 0.9500 |
100
+ | No log | 2.2273 | 98 | 1.0898 | 0.6329 | 1.0898 | 1.0439 |
101
+ | No log | 2.2727 | 100 | 1.1900 | 0.6087 | 1.1900 | 1.0909 |
102
+ | No log | 2.3182 | 102 | 1.2314 | 0.6173 | 1.2314 | 1.1097 |
103
+ | No log | 2.3636 | 104 | 1.0912 | 0.6543 | 1.0912 | 1.0446 |
104
+ | No log | 2.4091 | 106 | 0.7981 | 0.7531 | 0.7981 | 0.8933 |
105
+ | No log | 2.4545 | 108 | 0.7156 | 0.7811 | 0.7156 | 0.8460 |
106
+ | No log | 2.5 | 110 | 0.8184 | 0.7101 | 0.8184 | 0.9046 |
107
+ | No log | 2.5455 | 112 | 0.6419 | 0.8090 | 0.6419 | 0.8012 |
108
+ | No log | 2.5909 | 114 | 0.5671 | 0.8024 | 0.5671 | 0.7531 |
109
+ | No log | 2.6364 | 116 | 0.5805 | 0.7927 | 0.5805 | 0.7619 |
110
+ | No log | 2.6818 | 118 | 0.6035 | 0.7927 | 0.6035 | 0.7769 |
111
+ | No log | 2.7273 | 120 | 0.5942 | 0.7950 | 0.5942 | 0.7708 |
112
+ | No log | 2.7727 | 122 | 0.6146 | 0.8263 | 0.6146 | 0.7840 |
113
+ | No log | 2.8182 | 124 | 0.6981 | 0.7931 | 0.6981 | 0.8355 |
114
+ | No log | 2.8636 | 126 | 0.6590 | 0.8284 | 0.6590 | 0.8118 |
115
+ | No log | 2.9091 | 128 | 0.5691 | 0.8025 | 0.5691 | 0.7544 |
116
+ | No log | 2.9545 | 130 | 0.6004 | 0.8171 | 0.6004 | 0.7749 |
117
+ | No log | 3.0 | 132 | 0.6263 | 0.8284 | 0.6263 | 0.7914 |
118
+ | No log | 3.0455 | 134 | 0.6239 | 0.8140 | 0.6239 | 0.7899 |
119
+ | No log | 3.0909 | 136 | 0.6295 | 0.8114 | 0.6295 | 0.7934 |
120
+ | No log | 3.1364 | 138 | 0.5971 | 0.8070 | 0.5971 | 0.7728 |
121
+ | No log | 3.1818 | 140 | 0.6150 | 0.8208 | 0.6150 | 0.7842 |
122
+ | No log | 3.2273 | 142 | 0.6759 | 0.8452 | 0.6759 | 0.8221 |
123
+ | No log | 3.2727 | 144 | 0.7278 | 0.8049 | 0.7278 | 0.8531 |
124
+ | No log | 3.3182 | 146 | 0.7148 | 0.7811 | 0.7148 | 0.8454 |
125
+ | No log | 3.3636 | 148 | 0.8954 | 0.7232 | 0.8954 | 0.9462 |
126
+ | No log | 3.4091 | 150 | 0.7623 | 0.7719 | 0.7623 | 0.8731 |
127
+ | No log | 3.4545 | 152 | 0.6145 | 0.8344 | 0.6145 | 0.7839 |
128
+ | No log | 3.5 | 154 | 0.5930 | 0.8077 | 0.5930 | 0.7701 |
129
+ | No log | 3.5455 | 156 | 0.6363 | 0.7821 | 0.6363 | 0.7977 |
130
+ | No log | 3.5909 | 158 | 0.7414 | 0.7143 | 0.7414 | 0.8611 |
131
+ | No log | 3.6364 | 160 | 0.7562 | 0.7329 | 0.7562 | 0.8696 |
132
+ | No log | 3.6818 | 162 | 0.6352 | 0.7879 | 0.6352 | 0.7970 |
133
+ | No log | 3.7273 | 164 | 0.6184 | 0.7857 | 0.6184 | 0.7864 |
134
+ | No log | 3.7727 | 166 | 0.5227 | 0.8475 | 0.5227 | 0.7230 |
135
+ | No log | 3.8182 | 168 | 0.5850 | 0.7933 | 0.5850 | 0.7649 |
136
+ | No log | 3.8636 | 170 | 0.5524 | 0.8208 | 0.5524 | 0.7433 |
137
+ | No log | 3.9091 | 172 | 0.6689 | 0.7791 | 0.6689 | 0.8179 |
138
+ | No log | 3.9545 | 174 | 0.7223 | 0.7857 | 0.7223 | 0.8499 |
139
+ | No log | 4.0 | 176 | 0.5135 | 0.8302 | 0.5135 | 0.7166 |
140
+ | No log | 4.0455 | 178 | 0.5361 | 0.8129 | 0.5361 | 0.7322 |
141
+ | No log | 4.0909 | 180 | 0.5556 | 0.7891 | 0.5556 | 0.7454 |
142
+ | No log | 4.1364 | 182 | 0.6189 | 0.7651 | 0.6189 | 0.7867 |
143
+ | No log | 4.1818 | 184 | 0.6484 | 0.7451 | 0.6484 | 0.8053 |
144
+ | No log | 4.2273 | 186 | 0.6104 | 0.7895 | 0.6104 | 0.7813 |
145
+ | No log | 4.2727 | 188 | 0.5913 | 0.7867 | 0.5913 | 0.7690 |
146
+ | No log | 4.3182 | 190 | 0.5715 | 0.8153 | 0.5715 | 0.7560 |
147
+ | No log | 4.3636 | 192 | 0.5480 | 0.8153 | 0.5480 | 0.7402 |
148
+ | No log | 4.4091 | 194 | 0.5314 | 0.8199 | 0.5314 | 0.7290 |
149
+ | No log | 4.4545 | 196 | 0.5341 | 0.8199 | 0.5341 | 0.7308 |
150
+ | No log | 4.5 | 198 | 0.5854 | 0.8242 | 0.5854 | 0.7651 |
151
+ | No log | 4.5455 | 200 | 0.6289 | 0.8 | 0.6289 | 0.7931 |
152
+ | No log | 4.5909 | 202 | 0.7968 | 0.7215 | 0.7968 | 0.8926 |
153
+ | No log | 4.6364 | 204 | 0.7512 | 0.7261 | 0.7512 | 0.8667 |
154
+ | No log | 4.6818 | 206 | 0.6949 | 0.7143 | 0.6949 | 0.8336 |
155
+ | No log | 4.7273 | 208 | 0.7049 | 0.7013 | 0.7049 | 0.8396 |
156
+ | No log | 4.7727 | 210 | 0.7339 | 0.6883 | 0.7339 | 0.8567 |
157
+ | No log | 4.8182 | 212 | 0.6467 | 0.7771 | 0.6467 | 0.8042 |
158
+ | No log | 4.8636 | 214 | 0.5705 | 0.7843 | 0.5705 | 0.7553 |
159
+ | No log | 4.9091 | 216 | 0.5437 | 0.8025 | 0.5437 | 0.7374 |
160
+ | No log | 4.9545 | 218 | 0.5444 | 0.8025 | 0.5444 | 0.7378 |
161
+ | No log | 5.0 | 220 | 0.5221 | 0.7843 | 0.5221 | 0.7226 |
162
+ | No log | 5.0455 | 222 | 0.5688 | 0.8025 | 0.5688 | 0.7542 |
163
+ | No log | 5.0909 | 224 | 0.7816 | 0.7044 | 0.7816 | 0.8841 |
164
+ | No log | 5.1364 | 226 | 0.8465 | 0.6951 | 0.8465 | 0.9200 |
165
+ | No log | 5.1818 | 228 | 0.6390 | 0.7879 | 0.6390 | 0.7994 |
166
+ | No log | 5.2273 | 230 | 0.5275 | 0.8242 | 0.5275 | 0.7263 |
167
+ | No log | 5.2727 | 232 | 0.5300 | 0.7821 | 0.5300 | 0.7280 |
168
+ | No log | 5.3182 | 234 | 0.5215 | 0.7898 | 0.5215 | 0.7222 |
169
+ | No log | 5.3636 | 236 | 0.5526 | 0.8025 | 0.5526 | 0.7434 |
170
+ | No log | 5.4091 | 238 | 0.6214 | 0.8025 | 0.6214 | 0.7883 |
171
+ | No log | 5.4545 | 240 | 0.6852 | 0.775 | 0.6852 | 0.8278 |
172
+ | No log | 5.5 | 242 | 0.9194 | 0.7205 | 0.9194 | 0.9589 |
173
+ | No log | 5.5455 | 244 | 0.9480 | 0.7125 | 0.9480 | 0.9736 |
174
+ | No log | 5.5909 | 246 | 0.6822 | 0.7421 | 0.6822 | 0.8260 |
175
+ | No log | 5.6364 | 248 | 0.6162 | 0.7925 | 0.6162 | 0.7850 |
176
+ | No log | 5.6818 | 250 | 0.5947 | 0.7815 | 0.5947 | 0.7712 |
177
+ | No log | 5.7273 | 252 | 0.6279 | 0.7702 | 0.6279 | 0.7924 |
178
+ | No log | 5.7727 | 254 | 0.8525 | 0.7590 | 0.8525 | 0.9233 |
179
+ | No log | 5.8182 | 256 | 0.7770 | 0.7665 | 0.7770 | 0.8815 |
180
+ | No log | 5.8636 | 258 | 0.6341 | 0.7625 | 0.6341 | 0.7963 |
181
+ | No log | 5.9091 | 260 | 0.6114 | 0.75 | 0.6114 | 0.7819 |
182
+ | No log | 5.9545 | 262 | 0.7052 | 0.7632 | 0.7052 | 0.8397 |
183
+ | No log | 6.0 | 264 | 0.6447 | 0.7517 | 0.6447 | 0.8029 |
184
+ | No log | 6.0455 | 266 | 0.6388 | 0.7702 | 0.6388 | 0.7992 |
185
+ | No log | 6.0909 | 268 | 0.7486 | 0.7904 | 0.7486 | 0.8652 |
186
+ | No log | 6.1364 | 270 | 0.6461 | 0.7784 | 0.6461 | 0.8038 |
187
+ | No log | 6.1818 | 272 | 0.5806 | 0.7792 | 0.5806 | 0.7620 |
188
+ | No log | 6.2273 | 274 | 0.7537 | 0.7534 | 0.7537 | 0.8682 |
189
+ | No log | 6.2727 | 276 | 0.7938 | 0.6861 | 0.7938 | 0.8909 |
190
+ | No log | 6.3182 | 278 | 0.7107 | 0.7483 | 0.7107 | 0.8430 |
191
+ | No log | 6.3636 | 280 | 0.7490 | 0.6711 | 0.7490 | 0.8654 |
192
+ | No log | 6.4091 | 282 | 1.0651 | 0.6329 | 1.0651 | 1.0320 |
193
+ | No log | 6.4545 | 284 | 1.1503 | 0.6509 | 1.1503 | 1.0725 |
194
+ | No log | 6.5 | 286 | 0.9457 | 0.6946 | 0.9457 | 0.9725 |
195
+ | No log | 6.5455 | 288 | 0.6753 | 0.8263 | 0.6753 | 0.8218 |
196
+ | No log | 6.5909 | 290 | 0.6047 | 0.7925 | 0.6047 | 0.7776 |
197
+ | No log | 6.6364 | 292 | 0.5865 | 0.8313 | 0.5865 | 0.7659 |
198
+ | No log | 6.6818 | 294 | 0.6177 | 0.8364 | 0.6177 | 0.7859 |
199
+ | No log | 6.7273 | 296 | 0.6321 | 0.7925 | 0.6321 | 0.7951 |
200
+ | No log | 6.7727 | 298 | 0.7077 | 0.7578 | 0.7077 | 0.8413 |
201
+ | No log | 6.8182 | 300 | 0.8841 | 0.6871 | 0.8841 | 0.9402 |
202
+ | No log | 6.8636 | 302 | 0.8682 | 0.6875 | 0.8682 | 0.9318 |
203
+ | No log | 6.9091 | 304 | 0.7377 | 0.7296 | 0.7377 | 0.8589 |
204
+ | No log | 6.9545 | 306 | 0.6059 | 0.7871 | 0.6059 | 0.7784 |
205
+ | No log | 7.0 | 308 | 0.5606 | 0.7763 | 0.5606 | 0.7487 |
206
+ | No log | 7.0455 | 310 | 0.5430 | 0.7871 | 0.5430 | 0.7369 |
207
+ | No log | 7.0909 | 312 | 0.5159 | 0.8098 | 0.5159 | 0.7182 |
208
+ | No log | 7.1364 | 314 | 0.5456 | 0.8171 | 0.5456 | 0.7387 |
209
+ | No log | 7.1818 | 316 | 0.5768 | 0.8293 | 0.5768 | 0.7595 |
210
+ | No log | 7.2273 | 318 | 0.5278 | 0.8364 | 0.5278 | 0.7265 |
211
+ | No log | 7.2727 | 320 | 0.4969 | 0.8050 | 0.4969 | 0.7049 |
212
+ | No log | 7.3182 | 322 | 0.5081 | 0.7975 | 0.5081 | 0.7128 |
213
+ | No log | 7.3636 | 324 | 0.5073 | 0.8176 | 0.5073 | 0.7123 |
214
+ | No log | 7.4091 | 326 | 0.5915 | 0.8050 | 0.5915 | 0.7691 |
215
+ | No log | 7.4545 | 328 | 0.7208 | 0.7179 | 0.7208 | 0.8490 |
216
+ | No log | 7.5 | 330 | 0.6922 | 0.7237 | 0.6922 | 0.8320 |
217
+ | No log | 7.5455 | 332 | 0.6061 | 0.7949 | 0.6061 | 0.7785 |
218
+ | No log | 7.5909 | 334 | 0.5584 | 0.7867 | 0.5584 | 0.7472 |
219
+ | No log | 7.6364 | 336 | 0.5575 | 0.7947 | 0.5575 | 0.7467 |
220
+ | No log | 7.6818 | 338 | 0.5963 | 0.7742 | 0.5963 | 0.7722 |
221
+ | No log | 7.7273 | 340 | 0.7853 | 0.7125 | 0.7853 | 0.8862 |
222
+ | No log | 7.7727 | 342 | 0.8237 | 0.7160 | 0.8237 | 0.9076 |
223
+ | No log | 7.8182 | 344 | 0.6958 | 0.7531 | 0.6958 | 0.8342 |
224
+ | No log | 7.8636 | 346 | 0.5917 | 0.7712 | 0.5917 | 0.7692 |
225
+ | No log | 7.9091 | 348 | 0.6092 | 0.7867 | 0.6092 | 0.7805 |
226
+ | No log | 7.9545 | 350 | 0.6141 | 0.7582 | 0.6141 | 0.7837 |
227
+ | No log | 8.0 | 352 | 0.6326 | 0.7692 | 0.6326 | 0.7954 |
228
+ | No log | 8.0455 | 354 | 0.6358 | 0.7702 | 0.6358 | 0.7974 |
229
+ | No log | 8.0909 | 356 | 0.5897 | 0.7975 | 0.5897 | 0.7679 |
230
+ | No log | 8.1364 | 358 | 0.5528 | 0.8098 | 0.5528 | 0.7435 |
231
+ | No log | 8.1818 | 360 | 0.5522 | 0.7949 | 0.5522 | 0.7431 |
232
+ | No log | 8.2273 | 362 | 0.5831 | 0.7922 | 0.5831 | 0.7636 |
233
+ | No log | 8.2727 | 364 | 0.5995 | 0.8052 | 0.5995 | 0.7742 |
234
+ | No log | 8.3182 | 366 | 0.6034 | 0.7763 | 0.6034 | 0.7768 |
235
+ | No log | 8.3636 | 368 | 0.5992 | 0.7875 | 0.5992 | 0.7741 |
236
+ | No log | 8.4091 | 370 | 0.5806 | 0.7771 | 0.5806 | 0.7620 |
237
+ | No log | 8.4545 | 372 | 0.5179 | 0.8171 | 0.5179 | 0.7196 |
238
+ | No log | 8.5 | 374 | 0.5645 | 0.8045 | 0.5645 | 0.7513 |
239
+ | No log | 8.5455 | 376 | 0.7387 | 0.7594 | 0.7387 | 0.8595 |
240
+ | No log | 8.5909 | 378 | 0.7116 | 0.7742 | 0.7116 | 0.8436 |
241
+ | No log | 8.6364 | 380 | 0.5765 | 0.8090 | 0.5765 | 0.7592 |
242
+ | No log | 8.6818 | 382 | 0.5185 | 0.8171 | 0.5185 | 0.7200 |
243
+ | No log | 8.7273 | 384 | 0.6643 | 0.7516 | 0.6643 | 0.8151 |
244
+ | No log | 8.7727 | 386 | 0.6916 | 0.7711 | 0.6916 | 0.8316 |
245
+ | No log | 8.8182 | 388 | 0.5915 | 0.7975 | 0.5915 | 0.7691 |
246
+ | No log | 8.8636 | 390 | 0.5605 | 0.7898 | 0.5605 | 0.7487 |
247
+ | No log | 8.9091 | 392 | 0.6183 | 0.76 | 0.6183 | 0.7863 |
248
+ | No log | 8.9545 | 394 | 0.6719 | 0.7397 | 0.6719 | 0.8197 |
249
+ | No log | 9.0 | 396 | 0.6492 | 0.7397 | 0.6492 | 0.8057 |
250
+ | No log | 9.0455 | 398 | 0.6201 | 0.7922 | 0.6201 | 0.7875 |
251
+ | No log | 9.0909 | 400 | 0.6088 | 0.8025 | 0.6088 | 0.7803 |
252
+ | No log | 9.1364 | 402 | 0.5986 | 0.7975 | 0.5986 | 0.7737 |
253
+ | No log | 9.1818 | 404 | 0.5755 | 0.8075 | 0.5755 | 0.7586 |
254
+ | No log | 9.2273 | 406 | 0.5523 | 0.8075 | 0.5523 | 0.7432 |
255
+ | No log | 9.2727 | 408 | 0.5481 | 0.8050 | 0.5481 | 0.7403 |
256
+ | No log | 9.3182 | 410 | 0.5619 | 0.7922 | 0.5619 | 0.7496 |
257
+ | No log | 9.3636 | 412 | 0.5842 | 0.8 | 0.5842 | 0.7643 |
258
+ | No log | 9.4091 | 414 | 0.6249 | 0.8 | 0.6249 | 0.7905 |
259
+ | No log | 9.4545 | 416 | 0.6137 | 0.8 | 0.6137 | 0.7834 |
260
+ | No log | 9.5 | 418 | 0.6138 | 0.8 | 0.6138 | 0.7835 |
261
+ | No log | 9.5455 | 420 | 0.6414 | 0.7799 | 0.6414 | 0.8009 |
262
+ | No log | 9.5909 | 422 | 0.6385 | 0.7848 | 0.6385 | 0.7991 |
263
+ | No log | 9.6364 | 424 | 0.6428 | 0.7771 | 0.6428 | 0.8018 |
264
+ | No log | 9.6818 | 426 | 0.6014 | 0.8 | 0.6014 | 0.7755 |
265
+ | No log | 9.7273 | 428 | 0.5850 | 0.7550 | 0.5850 | 0.7649 |
266
+ | No log | 9.7727 | 430 | 0.6054 | 0.7692 | 0.6054 | 0.7780 |
267
+ | No log | 9.8182 | 432 | 0.6029 | 0.76 | 0.6029 | 0.7765 |
268
+ | No log | 9.8636 | 434 | 0.6325 | 0.75 | 0.6325 | 0.7953 |
269
+ | No log | 9.9091 | 436 | 0.6885 | 0.7436 | 0.6885 | 0.8298 |
270
+ | No log | 9.9545 | 438 | 0.6593 | 0.7643 | 0.6593 | 0.8120 |
271
+ | No log | 10.0 | 440 | 0.6003 | 0.7821 | 0.6003 | 0.7748 |
272
+ | No log | 10.0455 | 442 | 0.5782 | 0.7643 | 0.5782 | 0.7604 |
273
+ | No log | 10.0909 | 444 | 0.5834 | 0.7692 | 0.5834 | 0.7638 |
274
+ | No log | 10.1364 | 446 | 0.5602 | 0.8 | 0.5602 | 0.7485 |
275
+ | No log | 10.1818 | 448 | 0.5654 | 0.8272 | 0.5654 | 0.7519 |
276
+ | No log | 10.2273 | 450 | 0.5622 | 0.8272 | 0.5622 | 0.7498 |
277
+ | No log | 10.2727 | 452 | 0.5457 | 0.8125 | 0.5457 | 0.7387 |
278
+ | No log | 10.3182 | 454 | 0.5420 | 0.8272 | 0.5420 | 0.7362 |
279
+ | No log | 10.3636 | 456 | 0.5643 | 0.8272 | 0.5643 | 0.7512 |
280
+ | No log | 10.4091 | 458 | 0.5583 | 0.8199 | 0.5583 | 0.7472 |
281
+ | No log | 10.4545 | 460 | 0.5245 | 0.8101 | 0.5245 | 0.7243 |
282
+ | No log | 10.5 | 462 | 0.5096 | 0.8153 | 0.5096 | 0.7139 |
283
+ | No log | 10.5455 | 464 | 0.5076 | 0.8176 | 0.5076 | 0.7125 |
284
+ | No log | 10.5909 | 466 | 0.5392 | 0.8176 | 0.5392 | 0.7343 |
285
+ | No log | 10.6364 | 468 | 0.5734 | 0.8101 | 0.5734 | 0.7572 |
286
+ | No log | 10.6818 | 470 | 0.5707 | 0.8101 | 0.5707 | 0.7555 |
287
+ | No log | 10.7273 | 472 | 0.5815 | 0.8199 | 0.5815 | 0.7626 |
288
+ | No log | 10.7727 | 474 | 0.5606 | 0.8148 | 0.5606 | 0.7488 |
289
+ | No log | 10.8182 | 476 | 0.5151 | 0.8364 | 0.5151 | 0.7177 |
290
+ | No log | 10.8636 | 478 | 0.5435 | 0.8136 | 0.5435 | 0.7372 |
291
+ | No log | 10.9091 | 480 | 0.5670 | 0.8 | 0.5670 | 0.7530 |
292
+ | No log | 10.9545 | 482 | 0.5393 | 0.8177 | 0.5393 | 0.7344 |
293
+ | No log | 11.0 | 484 | 0.5268 | 0.8313 | 0.5268 | 0.7258 |
294
+ | No log | 11.0455 | 486 | 0.5711 | 0.8050 | 0.5711 | 0.7557 |
295
+ | No log | 11.0909 | 488 | 0.6170 | 0.7821 | 0.6170 | 0.7855 |
296
+ | No log | 11.1364 | 490 | 0.6543 | 0.7651 | 0.6543 | 0.8089 |
297
+ | No log | 11.1818 | 492 | 0.6671 | 0.7429 | 0.6671 | 0.8168 |
298
+ | No log | 11.2273 | 494 | 0.7183 | 0.7 | 0.7183 | 0.8475 |
299
+ | No log | 11.2727 | 496 | 0.7079 | 0.7123 | 0.7079 | 0.8414 |
300
+ | No log | 11.3182 | 498 | 0.6344 | 0.7310 | 0.6344 | 0.7965 |
301
+ | 0.3846 | 11.3636 | 500 | 0.6050 | 0.7974 | 0.6050 | 0.7778 |
302
+ | 0.3846 | 11.4091 | 502 | 0.6478 | 0.7516 | 0.6478 | 0.8049 |
303
+ | 0.3846 | 11.4545 | 504 | 0.6758 | 0.7516 | 0.6758 | 0.8221 |
304
+ | 0.3846 | 11.5 | 506 | 0.6278 | 0.7875 | 0.6278 | 0.7924 |
305
+ | 0.3846 | 11.5455 | 508 | 0.5773 | 0.8148 | 0.5773 | 0.7598 |
306
+ | 0.3846 | 11.5909 | 510 | 0.5759 | 0.8050 | 0.5759 | 0.7589 |
307
+ | 0.3846 | 11.6364 | 512 | 0.5795 | 0.8050 | 0.5795 | 0.7613 |
308
+ | 0.3846 | 11.6818 | 514 | 0.6131 | 0.7925 | 0.6131 | 0.7830 |
309
+ | 0.3846 | 11.7273 | 516 | 0.7006 | 0.6968 | 0.7006 | 0.8370 |
310
+ | 0.3846 | 11.7727 | 518 | 0.7410 | 0.7179 | 0.7410 | 0.8608 |
311
+ | 0.3846 | 11.8182 | 520 | 0.6429 | 0.7226 | 0.6429 | 0.8018 |
312
+ | 0.3846 | 11.8636 | 522 | 0.5421 | 0.825 | 0.5421 | 0.7362 |
313
+ | 0.3846 | 11.9091 | 524 | 0.5259 | 0.8304 | 0.5259 | 0.7252 |
314
+ | 0.3846 | 11.9545 | 526 | 0.5296 | 0.8421 | 0.5296 | 0.7277 |
315
+ | 0.3846 | 12.0 | 528 | 0.5800 | 0.8050 | 0.5800 | 0.7615 |
316
+ | 0.3846 | 12.0455 | 530 | 0.6364 | 0.7226 | 0.6364 | 0.7978 |
317
+ | 0.3846 | 12.0909 | 532 | 0.6094 | 0.8050 | 0.6094 | 0.7807 |
318
+ | 0.3846 | 12.1364 | 534 | 0.5745 | 0.8221 | 0.5745 | 0.7580 |
319
+ | 0.3846 | 12.1818 | 536 | 0.5862 | 0.8153 | 0.5862 | 0.7657 |
320
+ | 0.3846 | 12.2273 | 538 | 0.6000 | 0.7895 | 0.6000 | 0.7746 |
321
+ | 0.3846 | 12.2727 | 540 | 0.5664 | 0.8153 | 0.5664 | 0.7526 |
322
+ | 0.3846 | 12.3182 | 542 | 0.5768 | 0.8323 | 0.5768 | 0.7595 |
323
+ | 0.3846 | 12.3636 | 544 | 0.6081 | 0.7848 | 0.6081 | 0.7798 |
324
+ | 0.3846 | 12.4091 | 546 | 0.6058 | 0.7468 | 0.6058 | 0.7783 |
325
+ | 0.3846 | 12.4545 | 548 | 0.5237 | 0.8272 | 0.5237 | 0.7237 |
326
+ | 0.3846 | 12.5 | 550 | 0.4951 | 0.8444 | 0.4951 | 0.7036 |
327
+ | 0.3846 | 12.5455 | 552 | 0.4922 | 0.8444 | 0.4922 | 0.7016 |
328
+ | 0.3846 | 12.5909 | 554 | 0.5221 | 0.8228 | 0.5221 | 0.7226 |
329
+ | 0.3846 | 12.6364 | 556 | 0.5881 | 0.7949 | 0.5881 | 0.7669 |
330
+ | 0.3846 | 12.6818 | 558 | 0.6259 | 0.7237 | 0.6259 | 0.7911 |
331
+ | 0.3846 | 12.7273 | 560 | 0.6239 | 0.7308 | 0.6239 | 0.7899 |
332
+ | 0.3846 | 12.7727 | 562 | 0.5597 | 0.8125 | 0.5597 | 0.7481 |
333
+ | 0.3846 | 12.8182 | 564 | 0.4899 | 0.8323 | 0.4899 | 0.6999 |
334
+ | 0.3846 | 12.8636 | 566 | 0.4960 | 0.825 | 0.4960 | 0.7043 |
335
+ | 0.3846 | 12.9091 | 568 | 0.5244 | 0.8101 | 0.5244 | 0.7242 |
336
+ | 0.3846 | 12.9545 | 570 | 0.5122 | 0.8101 | 0.5122 | 0.7157 |
337
+ | 0.3846 | 13.0 | 572 | 0.5127 | 0.8323 | 0.5127 | 0.7160 |
338
+ | 0.3846 | 13.0455 | 574 | 0.5119 | 0.8323 | 0.5119 | 0.7155 |
339
+ | 0.3846 | 13.0909 | 576 | 0.5086 | 0.8199 | 0.5086 | 0.7132 |
340
+ | 0.3846 | 13.1364 | 578 | 0.5313 | 0.8302 | 0.5313 | 0.7289 |
341
+ | 0.3846 | 13.1818 | 580 | 0.5611 | 0.8375 | 0.5611 | 0.7491 |
342
+ | 0.3846 | 13.2273 | 582 | 0.5883 | 0.8105 | 0.5883 | 0.7670 |
343
+ | 0.3846 | 13.2727 | 584 | 0.6192 | 0.7785 | 0.6192 | 0.7869 |
344
+ | 0.3846 | 13.3182 | 586 | 0.6142 | 0.7974 | 0.6142 | 0.7837 |
345
+ | 0.3846 | 13.3636 | 588 | 0.5624 | 0.8129 | 0.5624 | 0.7499 |
346
+ | 0.3846 | 13.4091 | 590 | 0.5218 | 0.8199 | 0.5218 | 0.7223 |
347
+ | 0.3846 | 13.4545 | 592 | 0.4986 | 0.8214 | 0.4986 | 0.7061 |
348
+ | 0.3846 | 13.5 | 594 | 0.5023 | 0.8214 | 0.5023 | 0.7088 |
349
+ | 0.3846 | 13.5455 | 596 | 0.4963 | 0.8214 | 0.4963 | 0.7045 |
350
+ | 0.3846 | 13.5909 | 598 | 0.5334 | 0.8075 | 0.5334 | 0.7303 |
351
+ | 0.3846 | 13.6364 | 600 | 0.5978 | 0.7483 | 0.5978 | 0.7732 |
352
+ | 0.3846 | 13.6818 | 602 | 0.6545 | 0.7273 | 0.6545 | 0.8090 |
353
+ | 0.3846 | 13.7273 | 604 | 0.6739 | 0.75 | 0.6739 | 0.8209 |
354
+ | 0.3846 | 13.7727 | 606 | 0.6682 | 0.7838 | 0.6682 | 0.8175 |
355
+ | 0.3846 | 13.8182 | 608 | 0.6547 | 0.8158 | 0.6547 | 0.8091 |
356
+ | 0.3846 | 13.8636 | 610 | 0.6237 | 0.7947 | 0.6237 | 0.7898 |
357
+ | 0.3846 | 13.9091 | 612 | 0.6127 | 0.7733 | 0.6127 | 0.7828 |
358
+ | 0.3846 | 13.9545 | 614 | 0.5737 | 0.7867 | 0.5737 | 0.7574 |
359
+ | 0.3846 | 14.0 | 616 | 0.5399 | 0.8158 | 0.5399 | 0.7348 |
360
+ | 0.3846 | 14.0455 | 618 | 0.5354 | 0.8158 | 0.5354 | 0.7317 |
361
+ | 0.3846 | 14.0909 | 620 | 0.5392 | 0.8158 | 0.5392 | 0.7343 |
362
+ | 0.3846 | 14.1364 | 622 | 0.5522 | 0.8158 | 0.5522 | 0.7431 |
363
+ | 0.3846 | 14.1818 | 624 | 0.5498 | 0.8026 | 0.5498 | 0.7415 |
364
+ | 0.3846 | 14.2273 | 626 | 0.5649 | 0.7703 | 0.5649 | 0.7516 |
365
+ | 0.3846 | 14.2727 | 628 | 0.5514 | 0.7974 | 0.5514 | 0.7425 |
366
+ | 0.3846 | 14.3182 | 630 | 0.5272 | 0.8205 | 0.5272 | 0.7261 |
367
+ | 0.3846 | 14.3636 | 632 | 0.5345 | 0.8199 | 0.5345 | 0.7311 |
368
+ | 0.3846 | 14.4091 | 634 | 0.5790 | 0.7882 | 0.5790 | 0.7609 |
369
+ | 0.3846 | 14.4545 | 636 | 0.6067 | 0.8140 | 0.6067 | 0.7789 |
370
+ | 0.3846 | 14.5 | 638 | 0.5803 | 0.8049 | 0.5803 | 0.7618 |
371
+ | 0.3846 | 14.5455 | 640 | 0.5625 | 0.8050 | 0.5625 | 0.7500 |
372
+ | 0.3846 | 14.5909 | 642 | 0.5955 | 0.8101 | 0.5955 | 0.7717 |
373
+ | 0.3846 | 14.6364 | 644 | 0.6625 | 0.7692 | 0.6625 | 0.8140 |
374
+ | 0.3846 | 14.6818 | 646 | 0.7689 | 0.6842 | 0.7689 | 0.8769 |
375
+ | 0.3846 | 14.7273 | 648 | 0.8576 | 0.6711 | 0.8576 | 0.9260 |
376
+ | 0.3846 | 14.7727 | 650 | 0.8256 | 0.6755 | 0.8256 | 0.9086 |
377
+ | 0.3846 | 14.8182 | 652 | 0.7160 | 0.7067 | 0.7160 | 0.8461 |
378
+
379
+
380
+ ### Framework versions
381
+
382
+ - Transformers 4.44.2
383
+ - Pytorch 2.4.0+cu118
384
+ - Datasets 2.21.0
385
+ - 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 sha256:959c4981ac72485a6e19423856cd29a2a870aa443133f45f01c89f9ce504d130
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0355552aeb8a8dea3c8ad17b900cc9bdb6b70347a104cda8763da71fdfd1c14f
3
+ size 5304