MayBashendy commited on
Commit
48c3cfe
·
verified ·
1 Parent(s): 5041331

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +354 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,354 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_run2_AugV5_k19_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_run2_AugV5_k19_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: 0.7791
19
+ - Qwk: 0.0236
20
+ - Mse: 0.7791
21
+ - Rmse: 0.8827
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 | 0.0204 | 2 | 3.5928 | -0.0154 | 3.5928 | 1.8955 |
53
+ | No log | 0.0408 | 4 | 1.8765 | 0.0191 | 1.8765 | 1.3699 |
54
+ | No log | 0.0612 | 6 | 1.5376 | 0.0685 | 1.5376 | 1.2400 |
55
+ | No log | 0.0816 | 8 | 1.0385 | -0.1609 | 1.0385 | 1.0191 |
56
+ | No log | 0.1020 | 10 | 0.9592 | -0.0285 | 0.9592 | 0.9794 |
57
+ | No log | 0.1224 | 12 | 0.9561 | 0.0046 | 0.9561 | 0.9778 |
58
+ | No log | 0.1429 | 14 | 0.6609 | 0.0555 | 0.6609 | 0.8129 |
59
+ | No log | 0.1633 | 16 | 0.6561 | 0.0 | 0.6561 | 0.8100 |
60
+ | No log | 0.1837 | 18 | 0.6853 | 0.1444 | 0.6853 | 0.8278 |
61
+ | No log | 0.2041 | 20 | 0.7706 | 0.0191 | 0.7706 | 0.8778 |
62
+ | No log | 0.2245 | 22 | 0.7892 | -0.0331 | 0.7892 | 0.8884 |
63
+ | No log | 0.2449 | 24 | 0.7664 | -0.0331 | 0.7664 | 0.8754 |
64
+ | No log | 0.2653 | 26 | 0.7523 | 0.1379 | 0.7523 | 0.8674 |
65
+ | No log | 0.2857 | 28 | 0.8250 | 0.0318 | 0.8250 | 0.9083 |
66
+ | No log | 0.3061 | 30 | 1.0575 | -0.0157 | 1.0575 | 1.0284 |
67
+ | No log | 0.3265 | 32 | 1.0189 | -0.0424 | 1.0189 | 1.0094 |
68
+ | No log | 0.3469 | 34 | 0.9202 | 0.1228 | 0.9202 | 0.9593 |
69
+ | No log | 0.3673 | 36 | 1.0071 | 0.1028 | 1.0071 | 1.0035 |
70
+ | No log | 0.3878 | 38 | 1.0006 | 0.1584 | 1.0006 | 1.0003 |
71
+ | No log | 0.4082 | 40 | 0.9044 | 0.1475 | 0.9044 | 0.9510 |
72
+ | No log | 0.4286 | 42 | 0.9139 | 0.1198 | 0.9139 | 0.9560 |
73
+ | No log | 0.4490 | 44 | 1.0795 | 0.0437 | 1.0795 | 1.0390 |
74
+ | No log | 0.4694 | 46 | 1.0758 | 0.0631 | 1.0758 | 1.0372 |
75
+ | No log | 0.4898 | 48 | 1.0274 | 0.0775 | 1.0274 | 1.0136 |
76
+ | No log | 0.5102 | 50 | 1.0965 | -0.0007 | 1.0965 | 1.0472 |
77
+ | No log | 0.5306 | 52 | 0.9954 | -0.0256 | 0.9954 | 0.9977 |
78
+ | No log | 0.5510 | 54 | 1.4192 | 0.0636 | 1.4192 | 1.1913 |
79
+ | No log | 0.5714 | 56 | 1.5287 | 0.0399 | 1.5287 | 1.2364 |
80
+ | No log | 0.5918 | 58 | 0.9841 | 0.0659 | 0.9841 | 0.9920 |
81
+ | No log | 0.6122 | 60 | 1.1634 | -0.0937 | 1.1634 | 1.0786 |
82
+ | No log | 0.6327 | 62 | 1.1412 | -0.0320 | 1.1412 | 1.0683 |
83
+ | No log | 0.6531 | 64 | 0.8109 | 0.1135 | 0.8109 | 0.9005 |
84
+ | No log | 0.6735 | 66 | 1.4188 | 0.0874 | 1.4188 | 1.1911 |
85
+ | No log | 0.6939 | 68 | 1.6762 | 0.0882 | 1.6762 | 1.2947 |
86
+ | No log | 0.7143 | 70 | 1.3187 | 0.0610 | 1.3187 | 1.1483 |
87
+ | No log | 0.7347 | 72 | 0.8202 | 0.1646 | 0.8202 | 0.9057 |
88
+ | No log | 0.7551 | 74 | 1.2282 | 0.0462 | 1.2282 | 1.1082 |
89
+ | No log | 0.7755 | 76 | 1.3194 | 0.0919 | 1.3194 | 1.1487 |
90
+ | No log | 0.7959 | 78 | 0.8934 | 0.0719 | 0.8934 | 0.9452 |
91
+ | No log | 0.8163 | 80 | 0.8396 | 0.0238 | 0.8396 | 0.9163 |
92
+ | No log | 0.8367 | 82 | 1.0380 | 0.1634 | 1.0380 | 1.0188 |
93
+ | No log | 0.8571 | 84 | 0.9793 | 0.1652 | 0.9793 | 0.9896 |
94
+ | No log | 0.8776 | 86 | 0.7687 | 0.2118 | 0.7687 | 0.8768 |
95
+ | No log | 0.8980 | 88 | 1.0344 | 0.0440 | 1.0344 | 1.0171 |
96
+ | No log | 0.9184 | 90 | 1.3916 | 0.0967 | 1.3916 | 1.1797 |
97
+ | No log | 0.9388 | 92 | 1.1115 | 0.0042 | 1.1115 | 1.0543 |
98
+ | No log | 0.9592 | 94 | 0.7921 | 0.1009 | 0.7921 | 0.8900 |
99
+ | No log | 0.9796 | 96 | 0.7867 | 0.0851 | 0.7867 | 0.8869 |
100
+ | No log | 1.0 | 98 | 0.8062 | 0.1400 | 0.8062 | 0.8979 |
101
+ | No log | 1.0204 | 100 | 0.8226 | 0.1782 | 0.8226 | 0.9069 |
102
+ | No log | 1.0408 | 102 | 0.9278 | 0.1358 | 0.9278 | 0.9632 |
103
+ | No log | 1.0612 | 104 | 0.9223 | 0.1329 | 0.9223 | 0.9603 |
104
+ | No log | 1.0816 | 106 | 0.8248 | 0.1359 | 0.8248 | 0.9082 |
105
+ | No log | 1.1020 | 108 | 0.8538 | 0.1621 | 0.8538 | 0.9240 |
106
+ | No log | 1.1224 | 110 | 0.7948 | 0.1196 | 0.7948 | 0.8915 |
107
+ | No log | 1.1429 | 112 | 0.8232 | 0.0119 | 0.8232 | 0.9073 |
108
+ | No log | 1.1633 | 114 | 0.8397 | 0.0913 | 0.8397 | 0.9163 |
109
+ | No log | 1.1837 | 116 | 0.9017 | 0.1513 | 0.9017 | 0.9496 |
110
+ | No log | 1.2041 | 118 | 1.2682 | 0.0324 | 1.2682 | 1.1262 |
111
+ | No log | 1.2245 | 120 | 1.1390 | 0.1045 | 1.1390 | 1.0672 |
112
+ | No log | 1.2449 | 122 | 1.0237 | 0.1370 | 1.0237 | 1.0118 |
113
+ | No log | 1.2653 | 124 | 1.3970 | 0.1528 | 1.3970 | 1.1820 |
114
+ | No log | 1.2857 | 126 | 1.3462 | 0.1593 | 1.3462 | 1.1603 |
115
+ | No log | 1.3061 | 128 | 0.9045 | 0.0974 | 0.9045 | 0.9511 |
116
+ | No log | 1.3265 | 130 | 0.8684 | 0.1065 | 0.8684 | 0.9319 |
117
+ | No log | 1.3469 | 132 | 1.0761 | 0.1469 | 1.0761 | 1.0374 |
118
+ | No log | 1.3673 | 134 | 0.9010 | 0.0719 | 0.9010 | 0.9492 |
119
+ | No log | 1.3878 | 136 | 0.7657 | 0.1048 | 0.7657 | 0.8751 |
120
+ | No log | 1.4082 | 138 | 0.7888 | 0.1299 | 0.7888 | 0.8881 |
121
+ | No log | 1.4286 | 140 | 0.8606 | 0.1304 | 0.8606 | 0.9277 |
122
+ | No log | 1.4490 | 142 | 0.7990 | 0.0327 | 0.7990 | 0.8939 |
123
+ | No log | 1.4694 | 144 | 0.8271 | 0.1379 | 0.8271 | 0.9095 |
124
+ | No log | 1.4898 | 146 | 0.8647 | 0.1758 | 0.8647 | 0.9299 |
125
+ | No log | 1.5102 | 148 | 0.8109 | 0.0639 | 0.8109 | 0.9005 |
126
+ | No log | 1.5306 | 150 | 0.7733 | 0.0680 | 0.7733 | 0.8794 |
127
+ | No log | 1.5510 | 152 | 0.8251 | 0.0902 | 0.8251 | 0.9084 |
128
+ | No log | 1.5714 | 154 | 0.8457 | 0.0905 | 0.8457 | 0.9196 |
129
+ | No log | 1.5918 | 156 | 0.7947 | 0.0741 | 0.7947 | 0.8914 |
130
+ | No log | 1.6122 | 158 | 0.8304 | 0.0961 | 0.8304 | 0.9112 |
131
+ | No log | 1.6327 | 160 | 0.8112 | 0.0257 | 0.8112 | 0.9007 |
132
+ | No log | 1.6531 | 162 | 0.8594 | 0.0944 | 0.8594 | 0.9270 |
133
+ | No log | 1.6735 | 164 | 0.8565 | -0.0051 | 0.8565 | 0.9255 |
134
+ | No log | 1.6939 | 166 | 0.9052 | 0.0880 | 0.9052 | 0.9514 |
135
+ | No log | 1.7143 | 168 | 1.0757 | 0.1044 | 1.0757 | 1.0371 |
136
+ | No log | 1.7347 | 170 | 1.0485 | 0.1110 | 1.0485 | 1.0240 |
137
+ | No log | 1.7551 | 172 | 1.1544 | 0.0952 | 1.1544 | 1.0744 |
138
+ | No log | 1.7755 | 174 | 0.9012 | 0.0920 | 0.9012 | 0.9493 |
139
+ | No log | 1.7959 | 176 | 0.8745 | -0.0459 | 0.8745 | 0.9351 |
140
+ | No log | 1.8163 | 178 | 0.9319 | 0.0627 | 0.9319 | 0.9653 |
141
+ | No log | 1.8367 | 180 | 0.8660 | -0.0851 | 0.8660 | 0.9306 |
142
+ | No log | 1.8571 | 182 | 0.8464 | 0.1003 | 0.8464 | 0.9200 |
143
+ | No log | 1.8776 | 184 | 0.9662 | 0.0596 | 0.9662 | 0.9829 |
144
+ | No log | 1.8980 | 186 | 0.9064 | 0.1329 | 0.9064 | 0.9520 |
145
+ | No log | 1.9184 | 188 | 0.8741 | 0.0101 | 0.8741 | 0.9350 |
146
+ | No log | 1.9388 | 190 | 1.0920 | 0.1369 | 1.0920 | 1.0450 |
147
+ | No log | 1.9592 | 192 | 1.1949 | 0.0810 | 1.1949 | 1.0931 |
148
+ | No log | 1.9796 | 194 | 0.9294 | -0.0167 | 0.9294 | 0.9641 |
149
+ | No log | 2.0 | 196 | 1.1448 | 0.1353 | 1.1448 | 1.0700 |
150
+ | No log | 2.0204 | 198 | 1.4939 | 0.0027 | 1.4939 | 1.2222 |
151
+ | No log | 2.0408 | 200 | 1.2611 | 0.1758 | 1.2611 | 1.1230 |
152
+ | No log | 2.0612 | 202 | 0.8045 | 0.1495 | 0.8045 | 0.8969 |
153
+ | No log | 2.0816 | 204 | 0.7438 | -0.0062 | 0.7438 | 0.8625 |
154
+ | No log | 2.1020 | 206 | 0.8548 | 0.0617 | 0.8548 | 0.9245 |
155
+ | No log | 2.1224 | 208 | 0.8656 | 0.0592 | 0.8656 | 0.9304 |
156
+ | No log | 2.1429 | 210 | 0.7959 | -0.0118 | 0.7959 | 0.8921 |
157
+ | No log | 2.1633 | 212 | 0.8184 | 0.1048 | 0.8184 | 0.9046 |
158
+ | No log | 2.1837 | 214 | 0.8517 | 0.0837 | 0.8517 | 0.9229 |
159
+ | No log | 2.2041 | 216 | 0.7890 | 0.1048 | 0.7890 | 0.8883 |
160
+ | No log | 2.2245 | 218 | 0.7939 | 0.1434 | 0.7939 | 0.8910 |
161
+ | No log | 2.2449 | 220 | 0.7759 | 0.0503 | 0.7759 | 0.8808 |
162
+ | No log | 2.2653 | 222 | 0.7449 | 0.0914 | 0.7449 | 0.8631 |
163
+ | No log | 2.2857 | 224 | 0.7872 | 0.1495 | 0.7872 | 0.8873 |
164
+ | No log | 2.3061 | 226 | 0.8632 | 0.0876 | 0.8632 | 0.9291 |
165
+ | No log | 2.3265 | 228 | 0.8065 | 0.1423 | 0.8065 | 0.8981 |
166
+ | No log | 2.3469 | 230 | 0.7903 | 0.0821 | 0.7903 | 0.8890 |
167
+ | No log | 2.3673 | 232 | 0.8099 | 0.1095 | 0.8099 | 0.8999 |
168
+ | No log | 2.3878 | 234 | 0.7860 | 0.1095 | 0.7860 | 0.8866 |
169
+ | No log | 2.4082 | 236 | 0.8229 | 0.1440 | 0.8229 | 0.9071 |
170
+ | No log | 2.4286 | 238 | 0.8830 | 0.1235 | 0.8830 | 0.9397 |
171
+ | No log | 2.4490 | 240 | 0.9044 | 0.1235 | 0.9044 | 0.9510 |
172
+ | No log | 2.4694 | 242 | 0.8551 | 0.0725 | 0.8551 | 0.9247 |
173
+ | No log | 2.4898 | 244 | 1.0424 | 0.1076 | 1.0424 | 1.0210 |
174
+ | No log | 2.5102 | 246 | 1.1698 | 0.1103 | 1.1698 | 1.0816 |
175
+ | No log | 2.5306 | 248 | 0.9782 | 0.1077 | 0.9782 | 0.9890 |
176
+ | No log | 2.5510 | 250 | 0.8220 | 0.1541 | 0.8220 | 0.9066 |
177
+ | No log | 2.5714 | 252 | 1.0890 | 0.0915 | 1.0890 | 1.0436 |
178
+ | No log | 2.5918 | 254 | 1.1801 | 0.0653 | 1.1801 | 1.0863 |
179
+ | No log | 2.6122 | 256 | 0.8957 | 0.1235 | 0.8957 | 0.9464 |
180
+ | No log | 2.6327 | 258 | 0.8248 | 0.0441 | 0.8248 | 0.9082 |
181
+ | No log | 2.6531 | 260 | 0.9410 | 0.0048 | 0.9410 | 0.9701 |
182
+ | No log | 2.6735 | 262 | 0.8312 | -0.1045 | 0.8312 | 0.9117 |
183
+ | No log | 2.6939 | 264 | 0.7042 | 0.1318 | 0.7042 | 0.8392 |
184
+ | No log | 2.7143 | 266 | 0.8934 | 0.1107 | 0.8934 | 0.9452 |
185
+ | No log | 2.7347 | 268 | 1.1271 | -0.0047 | 1.1271 | 1.0617 |
186
+ | No log | 2.7551 | 270 | 1.0198 | 0.0025 | 1.0198 | 1.0098 |
187
+ | No log | 2.7755 | 272 | 0.7734 | 0.1047 | 0.7734 | 0.8794 |
188
+ | No log | 2.7959 | 274 | 0.7837 | 0.0481 | 0.7837 | 0.8853 |
189
+ | No log | 2.8163 | 276 | 0.8318 | -0.0956 | 0.8318 | 0.9120 |
190
+ | No log | 2.8367 | 278 | 0.8075 | -0.0661 | 0.8075 | 0.8986 |
191
+ | No log | 2.8571 | 280 | 0.7280 | 0.0454 | 0.7280 | 0.8532 |
192
+ | No log | 2.8776 | 282 | 0.6990 | 0.2339 | 0.6990 | 0.8361 |
193
+ | No log | 2.8980 | 284 | 0.7805 | 0.1329 | 0.7805 | 0.8835 |
194
+ | No log | 2.9184 | 286 | 0.7611 | 0.2288 | 0.7611 | 0.8724 |
195
+ | No log | 2.9388 | 288 | 0.7587 | 0.1800 | 0.7587 | 0.8710 |
196
+ | No log | 2.9592 | 290 | 0.7272 | 0.1553 | 0.7272 | 0.8528 |
197
+ | No log | 2.9796 | 292 | 0.7357 | 0.1047 | 0.7357 | 0.8577 |
198
+ | No log | 3.0 | 294 | 0.7069 | 0.1902 | 0.7069 | 0.8408 |
199
+ | No log | 3.0204 | 296 | 0.7315 | -0.0541 | 0.7315 | 0.8553 |
200
+ | No log | 3.0408 | 298 | 0.7644 | -0.0958 | 0.7644 | 0.8743 |
201
+ | No log | 3.0612 | 300 | 0.7778 | 0.0 | 0.7778 | 0.8819 |
202
+ | No log | 3.0816 | 302 | 0.8504 | 0.1758 | 0.8504 | 0.9222 |
203
+ | No log | 3.1020 | 304 | 0.8906 | 0.1758 | 0.8906 | 0.9437 |
204
+ | No log | 3.1224 | 306 | 0.8215 | -0.0156 | 0.8215 | 0.9063 |
205
+ | No log | 3.1429 | 308 | 0.8297 | -0.0785 | 0.8297 | 0.9109 |
206
+ | No log | 3.1633 | 310 | 0.7651 | -0.0118 | 0.7651 | 0.8747 |
207
+ | No log | 3.1837 | 312 | 0.7396 | 0.0628 | 0.7396 | 0.8600 |
208
+ | No log | 3.2041 | 314 | 0.7219 | 0.0318 | 0.7219 | 0.8496 |
209
+ | No log | 3.2245 | 316 | 0.7358 | 0.0 | 0.7358 | 0.8578 |
210
+ | No log | 3.2449 | 318 | 0.7462 | -0.0958 | 0.7462 | 0.8638 |
211
+ | No log | 3.2653 | 320 | 0.7285 | -0.0062 | 0.7285 | 0.8535 |
212
+ | No log | 3.2857 | 322 | 0.7405 | 0.1627 | 0.7405 | 0.8605 |
213
+ | No log | 3.3061 | 324 | 0.7787 | 0.1097 | 0.7787 | 0.8824 |
214
+ | No log | 3.3265 | 326 | 0.8438 | 0.0799 | 0.8438 | 0.9186 |
215
+ | No log | 3.3469 | 328 | 0.7957 | 0.1003 | 0.7957 | 0.8920 |
216
+ | No log | 3.3673 | 330 | 0.7843 | 0.1529 | 0.7843 | 0.8856 |
217
+ | No log | 3.3878 | 332 | 0.7926 | 0.1585 | 0.7926 | 0.8903 |
218
+ | No log | 3.4082 | 334 | 0.8478 | 0.0842 | 0.8478 | 0.9208 |
219
+ | No log | 3.4286 | 336 | 0.8156 | 0.1281 | 0.8156 | 0.9031 |
220
+ | No log | 3.4490 | 338 | 0.7593 | 0.0834 | 0.7593 | 0.8714 |
221
+ | No log | 3.4694 | 340 | 0.7541 | 0.0089 | 0.7541 | 0.8684 |
222
+ | No log | 3.4898 | 342 | 0.7094 | 0.0436 | 0.7094 | 0.8422 |
223
+ | No log | 3.5102 | 344 | 0.7122 | 0.2258 | 0.7122 | 0.8439 |
224
+ | No log | 3.5306 | 346 | 0.7416 | 0.2544 | 0.7416 | 0.8612 |
225
+ | No log | 3.5510 | 348 | 0.7953 | 0.1585 | 0.7953 | 0.8918 |
226
+ | No log | 3.5714 | 350 | 0.8854 | 0.1251 | 0.8854 | 0.9410 |
227
+ | No log | 3.5918 | 352 | 0.8901 | 0.1483 | 0.8901 | 0.9434 |
228
+ | No log | 3.6122 | 354 | 0.8673 | 0.0810 | 0.8673 | 0.9313 |
229
+ | No log | 3.6327 | 356 | 0.8588 | 0.0452 | 0.8588 | 0.9267 |
230
+ | No log | 3.6531 | 358 | 0.8158 | 0.0490 | 0.8158 | 0.9032 |
231
+ | No log | 3.6735 | 360 | 0.7738 | 0.0650 | 0.7738 | 0.8797 |
232
+ | No log | 3.6939 | 362 | 0.7791 | 0.1506 | 0.7791 | 0.8826 |
233
+ | No log | 3.7143 | 364 | 0.7500 | 0.1675 | 0.7500 | 0.8660 |
234
+ | No log | 3.7347 | 366 | 0.7476 | 0.0869 | 0.7476 | 0.8647 |
235
+ | No log | 3.7551 | 368 | 0.7775 | 0.0723 | 0.7775 | 0.8818 |
236
+ | No log | 3.7755 | 370 | 0.8238 | 0.1817 | 0.8238 | 0.9076 |
237
+ | No log | 3.7959 | 372 | 0.7490 | 0.0814 | 0.7490 | 0.8654 |
238
+ | No log | 3.8163 | 374 | 0.7562 | 0.1148 | 0.7562 | 0.8696 |
239
+ | No log | 3.8367 | 376 | 0.7252 | 0.1444 | 0.7252 | 0.8516 |
240
+ | No log | 3.8571 | 378 | 0.7404 | -0.0406 | 0.7404 | 0.8604 |
241
+ | No log | 3.8776 | 380 | 0.7416 | -0.0406 | 0.7416 | 0.8612 |
242
+ | No log | 3.8980 | 382 | 0.7105 | 0.0914 | 0.7105 | 0.8429 |
243
+ | No log | 3.9184 | 384 | 0.7483 | 0.1097 | 0.7483 | 0.8650 |
244
+ | No log | 3.9388 | 386 | 0.7704 | 0.1096 | 0.7704 | 0.8777 |
245
+ | No log | 3.9592 | 388 | 0.8388 | 0.0580 | 0.8388 | 0.9158 |
246
+ | No log | 3.9796 | 390 | 0.9252 | 0.1300 | 0.9252 | 0.9619 |
247
+ | No log | 4.0 | 392 | 0.8687 | 0.0476 | 0.8687 | 0.9320 |
248
+ | No log | 4.0204 | 394 | 0.8223 | 0.0961 | 0.8223 | 0.9068 |
249
+ | No log | 4.0408 | 396 | 0.8025 | 0.1139 | 0.8025 | 0.8958 |
250
+ | No log | 4.0612 | 398 | 0.7882 | 0.0709 | 0.7882 | 0.8878 |
251
+ | No log | 4.0816 | 400 | 0.8075 | 0.0917 | 0.8075 | 0.8986 |
252
+ | No log | 4.1020 | 402 | 0.8032 | 0.0917 | 0.8031 | 0.8962 |
253
+ | No log | 4.1224 | 404 | 0.8069 | 0.0917 | 0.8069 | 0.8983 |
254
+ | No log | 4.1429 | 406 | 0.7979 | 0.0959 | 0.7979 | 0.8932 |
255
+ | No log | 4.1633 | 408 | 0.7667 | 0.0289 | 0.7667 | 0.8756 |
256
+ | No log | 4.1837 | 410 | 0.7720 | 0.0357 | 0.7720 | 0.8786 |
257
+ | No log | 4.2041 | 412 | 0.7891 | 0.0574 | 0.7891 | 0.8883 |
258
+ | No log | 4.2245 | 414 | 0.7901 | 0.0622 | 0.7901 | 0.8889 |
259
+ | No log | 4.2449 | 416 | 0.7714 | 0.0828 | 0.7714 | 0.8783 |
260
+ | No log | 4.2653 | 418 | 0.7772 | -0.0488 | 0.7772 | 0.8816 |
261
+ | No log | 4.2857 | 420 | 0.7563 | -0.0958 | 0.7563 | 0.8697 |
262
+ | No log | 4.3061 | 422 | 0.7185 | 0.0436 | 0.7185 | 0.8476 |
263
+ | No log | 4.3265 | 424 | 0.8389 | 0.0909 | 0.8389 | 0.9159 |
264
+ | No log | 4.3469 | 426 | 1.0658 | 0.0717 | 1.0658 | 1.0324 |
265
+ | No log | 4.3673 | 428 | 1.0005 | 0.0224 | 1.0005 | 1.0003 |
266
+ | No log | 4.3878 | 430 | 0.8253 | 0.1395 | 0.8253 | 0.9085 |
267
+ | No log | 4.4082 | 432 | 0.7798 | -0.0488 | 0.7798 | 0.8831 |
268
+ | No log | 4.4286 | 434 | 0.8948 | 0.1078 | 0.8948 | 0.9459 |
269
+ | No log | 4.4490 | 436 | 0.9207 | 0.1078 | 0.9207 | 0.9595 |
270
+ | No log | 4.4694 | 438 | 0.7936 | -0.0488 | 0.7936 | 0.8908 |
271
+ | No log | 4.4898 | 440 | 0.7859 | 0.1047 | 0.7859 | 0.8865 |
272
+ | No log | 4.5102 | 442 | 0.8957 | 0.0719 | 0.8957 | 0.9464 |
273
+ | No log | 4.5306 | 444 | 0.8450 | 0.0409 | 0.8450 | 0.9193 |
274
+ | No log | 4.5510 | 446 | 0.7292 | 0.1097 | 0.7292 | 0.8539 |
275
+ | No log | 4.5714 | 448 | 0.7348 | 0.0414 | 0.7348 | 0.8572 |
276
+ | No log | 4.5918 | 450 | 0.8003 | 0.0545 | 0.8003 | 0.8946 |
277
+ | No log | 4.6122 | 452 | 0.8141 | 0.0559 | 0.8141 | 0.9023 |
278
+ | No log | 4.6327 | 454 | 0.8055 | 0.1423 | 0.8055 | 0.8975 |
279
+ | No log | 4.6531 | 456 | 0.9211 | 0.1385 | 0.9211 | 0.9598 |
280
+ | No log | 4.6735 | 458 | 0.9913 | 0.0576 | 0.9913 | 0.9956 |
281
+ | No log | 4.6939 | 460 | 0.8411 | 0.1475 | 0.8411 | 0.9171 |
282
+ | No log | 4.7143 | 462 | 0.7647 | 0.1097 | 0.7647 | 0.8745 |
283
+ | No log | 4.7347 | 464 | 0.7704 | 0.1047 | 0.7704 | 0.8777 |
284
+ | No log | 4.7551 | 466 | 0.7621 | 0.1047 | 0.7621 | 0.8730 |
285
+ | No log | 4.7755 | 468 | 0.7605 | 0.1097 | 0.7605 | 0.8721 |
286
+ | No log | 4.7959 | 470 | 0.7796 | 0.0639 | 0.7796 | 0.8829 |
287
+ | No log | 4.8163 | 472 | 0.7730 | 0.0639 | 0.7730 | 0.8792 |
288
+ | No log | 4.8367 | 474 | 0.7801 | 0.1003 | 0.7801 | 0.8832 |
289
+ | No log | 4.8571 | 476 | 0.7623 | 0.1146 | 0.7623 | 0.8731 |
290
+ | No log | 4.8776 | 478 | 0.7581 | 0.0600 | 0.7581 | 0.8707 |
291
+ | No log | 4.8980 | 480 | 0.7661 | 0.0600 | 0.7661 | 0.8753 |
292
+ | No log | 4.9184 | 482 | 0.7781 | 0.0600 | 0.7781 | 0.8821 |
293
+ | No log | 4.9388 | 484 | 0.8411 | 0.1342 | 0.8411 | 0.9171 |
294
+ | No log | 4.9592 | 486 | 0.8162 | 0.0562 | 0.8162 | 0.9034 |
295
+ | No log | 4.9796 | 488 | 0.7945 | 0.0357 | 0.7945 | 0.8913 |
296
+ | No log | 5.0 | 490 | 0.8302 | 0.0580 | 0.8302 | 0.9111 |
297
+ | No log | 5.0204 | 492 | 0.8022 | 0.0930 | 0.8022 | 0.8956 |
298
+ | No log | 5.0408 | 494 | 0.8151 | 0.0959 | 0.8151 | 0.9029 |
299
+ | No log | 5.0612 | 496 | 1.0330 | 0.1396 | 1.0330 | 1.0164 |
300
+ | No log | 5.0816 | 498 | 1.0893 | 0.0666 | 1.0893 | 1.0437 |
301
+ | 0.3214 | 5.1020 | 500 | 0.9070 | 0.0377 | 0.9070 | 0.9523 |
302
+ | 0.3214 | 5.1224 | 502 | 0.7443 | 0.1097 | 0.7443 | 0.8628 |
303
+ | 0.3214 | 5.1429 | 504 | 0.7350 | 0.0914 | 0.7350 | 0.8573 |
304
+ | 0.3214 | 5.1633 | 506 | 0.7599 | 0.0449 | 0.7599 | 0.8717 |
305
+ | 0.3214 | 5.1837 | 508 | 0.7717 | 0.1196 | 0.7717 | 0.8785 |
306
+ | 0.3214 | 5.2041 | 510 | 0.8452 | 0.1467 | 0.8452 | 0.9193 |
307
+ | 0.3214 | 5.2245 | 512 | 0.8857 | 0.1467 | 0.8857 | 0.9411 |
308
+ | 0.3214 | 5.2449 | 514 | 0.8426 | 0.0509 | 0.8426 | 0.9179 |
309
+ | 0.3214 | 5.2653 | 516 | 0.8526 | 0.1718 | 0.8526 | 0.9234 |
310
+ | 0.3214 | 5.2857 | 518 | 0.8781 | 0.0123 | 0.8781 | 0.9371 |
311
+ | 0.3214 | 5.3061 | 520 | 0.8539 | 0.1050 | 0.8539 | 0.9241 |
312
+ | 0.3214 | 5.3265 | 522 | 0.8836 | 0.1467 | 0.8836 | 0.9400 |
313
+ | 0.3214 | 5.3469 | 524 | 0.9024 | 0.1846 | 0.9024 | 0.9499 |
314
+ | 0.3214 | 5.3673 | 526 | 0.8239 | 0.1701 | 0.8239 | 0.9077 |
315
+ | 0.3214 | 5.3878 | 528 | 0.7887 | 0.0257 | 0.7887 | 0.8881 |
316
+ | 0.3214 | 5.4082 | 530 | 0.7959 | 0.0889 | 0.7959 | 0.8922 |
317
+ | 0.3214 | 5.4286 | 532 | 0.7873 | 0.1340 | 0.7873 | 0.8873 |
318
+ | 0.3214 | 5.4490 | 534 | 0.7659 | 0.0879 | 0.7659 | 0.8751 |
319
+ | 0.3214 | 5.4694 | 536 | 0.7708 | 0.0639 | 0.7708 | 0.8780 |
320
+ | 0.3214 | 5.4898 | 538 | 0.8265 | 0.1395 | 0.8265 | 0.9091 |
321
+ | 0.3214 | 5.5102 | 540 | 0.8160 | 0.0959 | 0.8160 | 0.9033 |
322
+ | 0.3214 | 5.5306 | 542 | 0.7699 | 0.0690 | 0.7699 | 0.8774 |
323
+ | 0.3214 | 5.5510 | 544 | 0.7655 | 0.1815 | 0.7655 | 0.8749 |
324
+ | 0.3214 | 5.5714 | 546 | 0.7483 | 0.1304 | 0.7483 | 0.8650 |
325
+ | 0.3214 | 5.5918 | 548 | 0.7930 | 0.0999 | 0.7930 | 0.8905 |
326
+ | 0.3214 | 5.6122 | 550 | 1.0539 | 0.0309 | 1.0539 | 1.0266 |
327
+ | 0.3214 | 5.6327 | 552 | 1.1108 | 0.0162 | 1.1108 | 1.0540 |
328
+ | 0.3214 | 5.6531 | 554 | 1.0294 | 0.0366 | 1.0294 | 1.0146 |
329
+ | 0.3214 | 5.6735 | 556 | 0.8007 | 0.1395 | 0.8007 | 0.8948 |
330
+ | 0.3214 | 5.6939 | 558 | 0.7603 | 0.0432 | 0.7603 | 0.8720 |
331
+ | 0.3214 | 5.7143 | 560 | 0.8295 | 0.0081 | 0.8295 | 0.9108 |
332
+ | 0.3214 | 5.7347 | 562 | 0.8056 | 0.0056 | 0.8056 | 0.8976 |
333
+ | 0.3214 | 5.7551 | 564 | 0.7510 | 0.0914 | 0.7510 | 0.8666 |
334
+ | 0.3214 | 5.7755 | 566 | 0.7482 | 0.1047 | 0.7482 | 0.8650 |
335
+ | 0.3214 | 5.7959 | 568 | 0.7373 | 0.1047 | 0.7373 | 0.8587 |
336
+ | 0.3214 | 5.8163 | 570 | 0.7303 | 0.0914 | 0.7303 | 0.8546 |
337
+ | 0.3214 | 5.8367 | 572 | 0.7294 | 0.0914 | 0.7294 | 0.8540 |
338
+ | 0.3214 | 5.8571 | 574 | 0.7434 | 0.0355 | 0.7434 | 0.8622 |
339
+ | 0.3214 | 5.8776 | 576 | 0.7593 | 0.0247 | 0.7593 | 0.8714 |
340
+ | 0.3214 | 5.8980 | 578 | 0.7945 | 0.0956 | 0.7945 | 0.8914 |
341
+ | 0.3214 | 5.9184 | 580 | 0.7814 | 0.0562 | 0.7814 | 0.8840 |
342
+ | 0.3214 | 5.9388 | 582 | 0.7888 | 0.0269 | 0.7888 | 0.8881 |
343
+ | 0.3214 | 5.9592 | 584 | 0.8184 | -0.0082 | 0.8184 | 0.9047 |
344
+ | 0.3214 | 5.9796 | 586 | 0.8164 | 0.0226 | 0.8164 | 0.9036 |
345
+ | 0.3214 | 6.0 | 588 | 0.8004 | 0.0152 | 0.8004 | 0.8946 |
346
+ | 0.3214 | 6.0204 | 590 | 0.7791 | 0.0236 | 0.7791 | 0.8827 |
347
+
348
+
349
+ ### Framework versions
350
+
351
+ - Transformers 4.44.2
352
+ - Pytorch 2.4.0+cu118
353
+ - Datasets 2.21.0
354
+ - 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:affe940a738f18f09a16fddaa7c805aeda534c51720d334e8ed6e5eafec486c1
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04be767e4598a1b5f0330c4765bc86736d0380b9473d96814689ee0d75f75f2a
3
+ size 5304