MayBashendy commited on
Commit
200880e
·
verified ·
1 Parent(s): 62c04ff

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +314 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,314 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k4_task7_organization
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k4_task7_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: 0.7441
19
+ - Qwk: 0.3088
20
+ - Mse: 0.7441
21
+ - Rmse: 0.8626
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 | 0.2 | 2 | 2.4280 | -0.0646 | 2.4280 | 1.5582 |
53
+ | No log | 0.4 | 4 | 1.0881 | 0.2875 | 1.0881 | 1.0431 |
54
+ | No log | 0.6 | 6 | 1.0474 | -0.1517 | 1.0474 | 1.0234 |
55
+ | No log | 0.8 | 8 | 1.3691 | -0.1706 | 1.3691 | 1.1701 |
56
+ | No log | 1.0 | 10 | 1.2737 | -0.1706 | 1.2737 | 1.1286 |
57
+ | No log | 1.2 | 12 | 1.0007 | 0.0283 | 1.0007 | 1.0003 |
58
+ | No log | 1.4 | 14 | 0.9275 | 0.1183 | 0.9275 | 0.9630 |
59
+ | No log | 1.6 | 16 | 0.8221 | 0.0428 | 0.8221 | 0.9067 |
60
+ | No log | 1.8 | 18 | 0.8087 | 0.0 | 0.8087 | 0.8993 |
61
+ | No log | 2.0 | 20 | 0.7870 | 0.0 | 0.7870 | 0.8871 |
62
+ | No log | 2.2 | 22 | 0.7671 | 0.0 | 0.7671 | 0.8758 |
63
+ | No log | 2.4 | 24 | 0.7781 | 0.0 | 0.7781 | 0.8821 |
64
+ | No log | 2.6 | 26 | 0.8770 | -0.0320 | 0.8770 | 0.9365 |
65
+ | No log | 2.8 | 28 | 1.0144 | -0.0076 | 1.0144 | 1.0072 |
66
+ | No log | 3.0 | 30 | 0.8925 | -0.0700 | 0.8925 | 0.9447 |
67
+ | No log | 3.2 | 32 | 0.7964 | 0.0481 | 0.7964 | 0.8924 |
68
+ | No log | 3.4 | 34 | 0.7693 | 0.1674 | 0.7693 | 0.8771 |
69
+ | No log | 3.6 | 36 | 0.8323 | 0.2285 | 0.8323 | 0.9123 |
70
+ | No log | 3.8 | 38 | 0.8663 | 0.2319 | 0.8663 | 0.9308 |
71
+ | No log | 4.0 | 40 | 0.9179 | -0.0045 | 0.9179 | 0.9581 |
72
+ | No log | 4.2 | 42 | 1.2157 | 0.0367 | 1.2157 | 1.1026 |
73
+ | No log | 4.4 | 44 | 1.0916 | -0.0033 | 1.0916 | 1.0448 |
74
+ | No log | 4.6 | 46 | 0.8641 | 0.2063 | 0.8641 | 0.9296 |
75
+ | No log | 4.8 | 48 | 0.8579 | 0.1550 | 0.8579 | 0.9262 |
76
+ | No log | 5.0 | 50 | 0.8885 | 0.1815 | 0.8885 | 0.9426 |
77
+ | No log | 5.2 | 52 | 0.8945 | 0.1766 | 0.8945 | 0.9458 |
78
+ | No log | 5.4 | 54 | 0.8386 | 0.1699 | 0.8386 | 0.9157 |
79
+ | No log | 5.6 | 56 | 0.8781 | 0.0410 | 0.8781 | 0.9371 |
80
+ | No log | 5.8 | 58 | 1.0238 | 0.0975 | 1.0238 | 1.0118 |
81
+ | No log | 6.0 | 60 | 1.0113 | 0.1259 | 1.0113 | 1.0056 |
82
+ | No log | 6.2 | 62 | 0.8929 | 0.1498 | 0.8929 | 0.9449 |
83
+ | No log | 6.4 | 64 | 0.8862 | 0.1541 | 0.8862 | 0.9414 |
84
+ | No log | 6.6 | 66 | 0.8867 | 0.1541 | 0.8867 | 0.9416 |
85
+ | No log | 6.8 | 68 | 0.8958 | 0.0930 | 0.8958 | 0.9464 |
86
+ | No log | 7.0 | 70 | 0.8884 | 0.1760 | 0.8884 | 0.9425 |
87
+ | No log | 7.2 | 72 | 0.9050 | 0.1866 | 0.9050 | 0.9513 |
88
+ | No log | 7.4 | 74 | 1.0495 | 0.1271 | 1.0495 | 1.0245 |
89
+ | No log | 7.6 | 76 | 0.9746 | 0.1712 | 0.9746 | 0.9872 |
90
+ | No log | 7.8 | 78 | 0.8469 | 0.1303 | 0.8469 | 0.9203 |
91
+ | No log | 8.0 | 80 | 0.8490 | 0.1379 | 0.8490 | 0.9214 |
92
+ | No log | 8.2 | 82 | 0.8602 | 0.1969 | 0.8602 | 0.9275 |
93
+ | No log | 8.4 | 84 | 0.8646 | 0.2747 | 0.8646 | 0.9298 |
94
+ | No log | 8.6 | 86 | 0.8753 | 0.2987 | 0.8753 | 0.9356 |
95
+ | No log | 8.8 | 88 | 0.9014 | 0.2593 | 0.9014 | 0.9494 |
96
+ | No log | 9.0 | 90 | 0.8741 | 0.2888 | 0.8741 | 0.9349 |
97
+ | No log | 9.2 | 92 | 0.8777 | 0.2256 | 0.8777 | 0.9369 |
98
+ | No log | 9.4 | 94 | 0.8431 | 0.2936 | 0.8431 | 0.9182 |
99
+ | No log | 9.6 | 96 | 0.8234 | 0.3296 | 0.8234 | 0.9074 |
100
+ | No log | 9.8 | 98 | 0.8382 | 0.3060 | 0.8382 | 0.9155 |
101
+ | No log | 10.0 | 100 | 0.8438 | 0.3060 | 0.8438 | 0.9186 |
102
+ | No log | 10.2 | 102 | 0.8347 | 0.3478 | 0.8347 | 0.9136 |
103
+ | No log | 10.4 | 104 | 0.9014 | 0.0678 | 0.9014 | 0.9494 |
104
+ | No log | 10.6 | 106 | 0.8910 | 0.0702 | 0.8910 | 0.9439 |
105
+ | No log | 10.8 | 108 | 0.8374 | 0.1379 | 0.8374 | 0.9151 |
106
+ | No log | 11.0 | 110 | 0.8317 | 0.2475 | 0.8317 | 0.9120 |
107
+ | No log | 11.2 | 112 | 0.8199 | 0.2360 | 0.8199 | 0.9055 |
108
+ | No log | 11.4 | 114 | 0.8325 | 0.1797 | 0.8325 | 0.9124 |
109
+ | No log | 11.6 | 116 | 0.8529 | 0.1471 | 0.8529 | 0.9235 |
110
+ | No log | 11.8 | 118 | 0.8190 | 0.1471 | 0.8190 | 0.9050 |
111
+ | No log | 12.0 | 120 | 0.7978 | 0.3002 | 0.7978 | 0.8932 |
112
+ | No log | 12.2 | 122 | 0.8029 | 0.2973 | 0.8029 | 0.8961 |
113
+ | No log | 12.4 | 124 | 0.8591 | 0.2498 | 0.8591 | 0.9269 |
114
+ | No log | 12.6 | 126 | 0.8539 | 0.2633 | 0.8539 | 0.9241 |
115
+ | No log | 12.8 | 128 | 0.8333 | 0.2561 | 0.8333 | 0.9129 |
116
+ | No log | 13.0 | 130 | 0.8075 | 0.1471 | 0.8075 | 0.8986 |
117
+ | No log | 13.2 | 132 | 0.8151 | 0.1341 | 0.8151 | 0.9028 |
118
+ | No log | 13.4 | 134 | 0.9087 | 0.2899 | 0.9087 | 0.9533 |
119
+ | No log | 13.6 | 136 | 1.0867 | 0.1142 | 1.0867 | 1.0425 |
120
+ | No log | 13.8 | 138 | 1.0656 | 0.2055 | 1.0656 | 1.0323 |
121
+ | No log | 14.0 | 140 | 0.9129 | 0.2495 | 0.9129 | 0.9555 |
122
+ | No log | 14.2 | 142 | 0.8662 | 0.2053 | 0.8662 | 0.9307 |
123
+ | No log | 14.4 | 144 | 0.9314 | 0.1433 | 0.9314 | 0.9651 |
124
+ | No log | 14.6 | 146 | 0.8753 | 0.1795 | 0.8753 | 0.9356 |
125
+ | No log | 14.8 | 148 | 0.8144 | 0.2447 | 0.8144 | 0.9024 |
126
+ | No log | 15.0 | 150 | 0.8427 | 0.1740 | 0.8427 | 0.9180 |
127
+ | No log | 15.2 | 152 | 0.8586 | 0.2027 | 0.8586 | 0.9266 |
128
+ | No log | 15.4 | 154 | 0.8176 | 0.2590 | 0.8176 | 0.9042 |
129
+ | No log | 15.6 | 156 | 0.8087 | 0.2058 | 0.8087 | 0.8993 |
130
+ | No log | 15.8 | 158 | 0.8122 | 0.1509 | 0.8122 | 0.9012 |
131
+ | No log | 16.0 | 160 | 0.7792 | 0.0741 | 0.7792 | 0.8827 |
132
+ | No log | 16.2 | 162 | 0.7818 | 0.2007 | 0.7818 | 0.8842 |
133
+ | No log | 16.4 | 164 | 0.8351 | 0.2995 | 0.8351 | 0.9138 |
134
+ | No log | 16.6 | 166 | 0.8607 | 0.2781 | 0.8607 | 0.9278 |
135
+ | No log | 16.8 | 168 | 0.8056 | 0.2784 | 0.8056 | 0.8976 |
136
+ | No log | 17.0 | 170 | 0.7397 | 0.1386 | 0.7397 | 0.8601 |
137
+ | No log | 17.2 | 172 | 0.7633 | 0.1528 | 0.7633 | 0.8737 |
138
+ | No log | 17.4 | 174 | 0.7725 | 0.2611 | 0.7725 | 0.8789 |
139
+ | No log | 17.6 | 176 | 0.7114 | 0.1569 | 0.7114 | 0.8435 |
140
+ | No log | 17.8 | 178 | 0.6806 | 0.1094 | 0.6806 | 0.8250 |
141
+ | No log | 18.0 | 180 | 0.6980 | 0.2981 | 0.6980 | 0.8355 |
142
+ | No log | 18.2 | 182 | 0.7073 | 0.2784 | 0.7073 | 0.8410 |
143
+ | No log | 18.4 | 184 | 0.7062 | 0.2563 | 0.7062 | 0.8404 |
144
+ | No log | 18.6 | 186 | 0.7244 | 0.1969 | 0.7244 | 0.8511 |
145
+ | No log | 18.8 | 188 | 0.7478 | 0.2371 | 0.7478 | 0.8648 |
146
+ | No log | 19.0 | 190 | 0.7659 | 0.2688 | 0.7659 | 0.8752 |
147
+ | No log | 19.2 | 192 | 0.7740 | 0.2688 | 0.7740 | 0.8798 |
148
+ | No log | 19.4 | 194 | 0.7655 | 0.2688 | 0.7655 | 0.8749 |
149
+ | No log | 19.6 | 196 | 0.7628 | 0.2400 | 0.7628 | 0.8734 |
150
+ | No log | 19.8 | 198 | 0.7577 | 0.2661 | 0.7577 | 0.8705 |
151
+ | No log | 20.0 | 200 | 0.7963 | 0.3060 | 0.7963 | 0.8924 |
152
+ | No log | 20.2 | 202 | 0.7775 | 0.2784 | 0.7775 | 0.8817 |
153
+ | No log | 20.4 | 204 | 0.7537 | 0.2784 | 0.7537 | 0.8682 |
154
+ | No log | 20.6 | 206 | 0.7288 | 0.2589 | 0.7288 | 0.8537 |
155
+ | No log | 20.8 | 208 | 0.7145 | 0.2319 | 0.7145 | 0.8453 |
156
+ | No log | 21.0 | 210 | 0.7301 | 0.0755 | 0.7301 | 0.8544 |
157
+ | No log | 21.2 | 212 | 0.7600 | 0.1729 | 0.7600 | 0.8718 |
158
+ | No log | 21.4 | 214 | 0.7573 | 0.1582 | 0.7573 | 0.8702 |
159
+ | No log | 21.6 | 216 | 0.8006 | 0.3500 | 0.8006 | 0.8947 |
160
+ | No log | 21.8 | 218 | 0.8706 | 0.3480 | 0.8706 | 0.9331 |
161
+ | No log | 22.0 | 220 | 0.8659 | 0.3653 | 0.8659 | 0.9305 |
162
+ | No log | 22.2 | 222 | 0.7896 | 0.3060 | 0.7896 | 0.8886 |
163
+ | No log | 22.4 | 224 | 0.7553 | 0.1901 | 0.7553 | 0.8691 |
164
+ | No log | 22.6 | 226 | 0.7604 | 0.0755 | 0.7604 | 0.8720 |
165
+ | No log | 22.8 | 228 | 0.7820 | 0.1130 | 0.7820 | 0.8843 |
166
+ | No log | 23.0 | 230 | 0.7619 | 0.2287 | 0.7619 | 0.8729 |
167
+ | No log | 23.2 | 232 | 0.7713 | 0.1901 | 0.7713 | 0.8783 |
168
+ | No log | 23.4 | 234 | 0.8220 | 0.3157 | 0.8220 | 0.9066 |
169
+ | No log | 23.6 | 236 | 0.8328 | 0.3157 | 0.8328 | 0.9126 |
170
+ | No log | 23.8 | 238 | 0.8035 | 0.3127 | 0.8035 | 0.8964 |
171
+ | No log | 24.0 | 240 | 0.7677 | 0.1303 | 0.7677 | 0.8762 |
172
+ | No log | 24.2 | 242 | 0.7570 | 0.1850 | 0.7570 | 0.8700 |
173
+ | No log | 24.4 | 244 | 0.7571 | 0.1131 | 0.7571 | 0.8701 |
174
+ | No log | 24.6 | 246 | 0.7416 | 0.2148 | 0.7416 | 0.8611 |
175
+ | No log | 24.8 | 248 | 0.7365 | 0.1853 | 0.7365 | 0.8582 |
176
+ | No log | 25.0 | 250 | 0.7708 | 0.3287 | 0.7708 | 0.8779 |
177
+ | No log | 25.2 | 252 | 0.7918 | 0.3368 | 0.7918 | 0.8898 |
178
+ | No log | 25.4 | 254 | 0.7537 | 0.2129 | 0.7537 | 0.8681 |
179
+ | No log | 25.6 | 256 | 0.7265 | 0.2327 | 0.7265 | 0.8523 |
180
+ | No log | 25.8 | 258 | 0.7299 | 0.2327 | 0.7299 | 0.8543 |
181
+ | No log | 26.0 | 260 | 0.7616 | 0.2471 | 0.7616 | 0.8727 |
182
+ | No log | 26.2 | 262 | 0.8261 | 0.3475 | 0.8261 | 0.9089 |
183
+ | No log | 26.4 | 264 | 0.8106 | 0.3127 | 0.8106 | 0.9004 |
184
+ | No log | 26.6 | 266 | 0.7694 | 0.2558 | 0.7694 | 0.8772 |
185
+ | No log | 26.8 | 268 | 0.7531 | 0.3050 | 0.7531 | 0.8678 |
186
+ | No log | 27.0 | 270 | 0.7440 | 0.3369 | 0.7440 | 0.8626 |
187
+ | No log | 27.2 | 272 | 0.7383 | 0.3369 | 0.7383 | 0.8593 |
188
+ | No log | 27.4 | 274 | 0.7359 | 0.3050 | 0.7359 | 0.8578 |
189
+ | No log | 27.6 | 276 | 0.7352 | 0.1953 | 0.7352 | 0.8574 |
190
+ | No log | 27.8 | 278 | 0.7769 | 0.3471 | 0.7769 | 0.8814 |
191
+ | No log | 28.0 | 280 | 0.7917 | 0.3737 | 0.7917 | 0.8897 |
192
+ | No log | 28.2 | 282 | 0.7800 | 0.3544 | 0.7800 | 0.8832 |
193
+ | No log | 28.4 | 284 | 0.7564 | 0.3471 | 0.7564 | 0.8697 |
194
+ | No log | 28.6 | 286 | 0.7106 | 0.2943 | 0.7106 | 0.8430 |
195
+ | No log | 28.8 | 288 | 0.6972 | 0.2965 | 0.6972 | 0.8350 |
196
+ | No log | 29.0 | 290 | 0.6907 | 0.3407 | 0.6907 | 0.8311 |
197
+ | No log | 29.2 | 292 | 0.7038 | 0.1775 | 0.7038 | 0.8389 |
198
+ | No log | 29.4 | 294 | 0.6931 | 0.2484 | 0.6931 | 0.8325 |
199
+ | No log | 29.6 | 296 | 0.7004 | 0.2407 | 0.7004 | 0.8369 |
200
+ | No log | 29.8 | 298 | 0.7603 | 0.3918 | 0.7603 | 0.8720 |
201
+ | No log | 30.0 | 300 | 0.8116 | 0.4167 | 0.8116 | 0.9009 |
202
+ | No log | 30.2 | 302 | 0.7948 | 0.3918 | 0.7948 | 0.8915 |
203
+ | No log | 30.4 | 304 | 0.7539 | 0.2847 | 0.7539 | 0.8682 |
204
+ | No log | 30.6 | 306 | 0.7512 | 0.3171 | 0.7512 | 0.8667 |
205
+ | No log | 30.8 | 308 | 0.7763 | 0.2834 | 0.7763 | 0.8811 |
206
+ | No log | 31.0 | 310 | 0.7974 | 0.2566 | 0.7974 | 0.8930 |
207
+ | No log | 31.2 | 312 | 0.8091 | 0.2514 | 0.8091 | 0.8995 |
208
+ | No log | 31.4 | 314 | 0.7969 | 0.2564 | 0.7969 | 0.8927 |
209
+ | No log | 31.6 | 316 | 0.7808 | 0.1886 | 0.7808 | 0.8836 |
210
+ | No log | 31.8 | 318 | 0.7703 | 0.2475 | 0.7703 | 0.8777 |
211
+ | No log | 32.0 | 320 | 0.7665 | 0.2749 | 0.7665 | 0.8755 |
212
+ | No log | 32.2 | 322 | 0.7553 | 0.2532 | 0.7553 | 0.8691 |
213
+ | No log | 32.4 | 324 | 0.7565 | 0.2247 | 0.7565 | 0.8698 |
214
+ | No log | 32.6 | 326 | 0.7605 | 0.2683 | 0.7605 | 0.8721 |
215
+ | No log | 32.8 | 328 | 0.7763 | 0.2563 | 0.7763 | 0.8811 |
216
+ | No log | 33.0 | 330 | 0.7859 | 0.2479 | 0.7859 | 0.8865 |
217
+ | No log | 33.2 | 332 | 0.7889 | 0.2563 | 0.7889 | 0.8882 |
218
+ | No log | 33.4 | 334 | 0.7826 | 0.2563 | 0.7826 | 0.8847 |
219
+ | No log | 33.6 | 336 | 0.7689 | 0.2563 | 0.7689 | 0.8769 |
220
+ | No log | 33.8 | 338 | 0.7572 | 0.2838 | 0.7572 | 0.8702 |
221
+ | No log | 34.0 | 340 | 0.7469 | 0.2532 | 0.7469 | 0.8642 |
222
+ | No log | 34.2 | 342 | 0.7397 | 0.3224 | 0.7397 | 0.8601 |
223
+ | No log | 34.4 | 344 | 0.7330 | 0.2913 | 0.7330 | 0.8562 |
224
+ | No log | 34.6 | 346 | 0.7437 | 0.2751 | 0.7437 | 0.8624 |
225
+ | No log | 34.8 | 348 | 0.7841 | 0.3475 | 0.7841 | 0.8855 |
226
+ | No log | 35.0 | 350 | 0.8427 | 0.3544 | 0.8427 | 0.9180 |
227
+ | No log | 35.2 | 352 | 0.8623 | 0.3544 | 0.8623 | 0.9286 |
228
+ | No log | 35.4 | 354 | 0.8327 | 0.3544 | 0.8327 | 0.9125 |
229
+ | No log | 35.6 | 356 | 0.7730 | 0.3723 | 0.7730 | 0.8792 |
230
+ | No log | 35.8 | 358 | 0.7276 | 0.3050 | 0.7276 | 0.8530 |
231
+ | No log | 36.0 | 360 | 0.7192 | 0.3675 | 0.7192 | 0.8481 |
232
+ | No log | 36.2 | 362 | 0.7212 | 0.2965 | 0.7212 | 0.8492 |
233
+ | No log | 36.4 | 364 | 0.7321 | 0.3599 | 0.7321 | 0.8556 |
234
+ | No log | 36.6 | 366 | 0.7521 | 0.3763 | 0.7521 | 0.8673 |
235
+ | No log | 36.8 | 368 | 0.7615 | 0.4020 | 0.7615 | 0.8726 |
236
+ | No log | 37.0 | 370 | 0.7715 | 0.3942 | 0.7715 | 0.8783 |
237
+ | No log | 37.2 | 372 | 0.7674 | 0.4190 | 0.7674 | 0.8760 |
238
+ | No log | 37.4 | 374 | 0.7396 | 0.3762 | 0.7396 | 0.8600 |
239
+ | No log | 37.6 | 376 | 0.7318 | 0.2682 | 0.7318 | 0.8555 |
240
+ | No log | 37.8 | 378 | 0.7326 | 0.2986 | 0.7326 | 0.8559 |
241
+ | No log | 38.0 | 380 | 0.7203 | 0.2451 | 0.7203 | 0.8487 |
242
+ | No log | 38.2 | 382 | 0.7118 | 0.1760 | 0.7118 | 0.8437 |
243
+ | No log | 38.4 | 384 | 0.7190 | 0.2063 | 0.7190 | 0.8479 |
244
+ | No log | 38.6 | 386 | 0.7312 | 0.1953 | 0.7312 | 0.8551 |
245
+ | No log | 38.8 | 388 | 0.7347 | 0.1953 | 0.7347 | 0.8571 |
246
+ | No log | 39.0 | 390 | 0.7449 | 0.2558 | 0.7449 | 0.8631 |
247
+ | No log | 39.2 | 392 | 0.7482 | 0.2684 | 0.7482 | 0.8650 |
248
+ | No log | 39.4 | 394 | 0.7577 | 0.3266 | 0.7577 | 0.8705 |
249
+ | No log | 39.6 | 396 | 0.7886 | 0.2568 | 0.7886 | 0.8880 |
250
+ | No log | 39.8 | 398 | 0.8069 | 0.2819 | 0.8069 | 0.8983 |
251
+ | No log | 40.0 | 400 | 0.7804 | 0.3213 | 0.7804 | 0.8834 |
252
+ | No log | 40.2 | 402 | 0.7670 | 0.3530 | 0.7670 | 0.8758 |
253
+ | No log | 40.4 | 404 | 0.7696 | 0.3762 | 0.7696 | 0.8772 |
254
+ | No log | 40.6 | 406 | 0.7765 | 0.3051 | 0.7765 | 0.8812 |
255
+ | No log | 40.8 | 408 | 0.7740 | 0.3051 | 0.7740 | 0.8798 |
256
+ | No log | 41.0 | 410 | 0.7634 | 0.2319 | 0.7634 | 0.8738 |
257
+ | No log | 41.2 | 412 | 0.7536 | 0.2099 | 0.7536 | 0.8681 |
258
+ | No log | 41.4 | 414 | 0.7528 | 0.2063 | 0.7528 | 0.8676 |
259
+ | No log | 41.6 | 416 | 0.7517 | 0.1636 | 0.7517 | 0.8670 |
260
+ | No log | 41.8 | 418 | 0.7511 | 0.1723 | 0.7511 | 0.8667 |
261
+ | No log | 42.0 | 420 | 0.7502 | 0.1051 | 0.7502 | 0.8661 |
262
+ | No log | 42.2 | 422 | 0.7505 | 0.1011 | 0.7505 | 0.8663 |
263
+ | No log | 42.4 | 424 | 0.7553 | 0.1952 | 0.7553 | 0.8691 |
264
+ | No log | 42.6 | 426 | 0.7615 | 0.2973 | 0.7615 | 0.8726 |
265
+ | No log | 42.8 | 428 | 0.7690 | 0.3355 | 0.7690 | 0.8769 |
266
+ | No log | 43.0 | 430 | 0.7618 | 0.3355 | 0.7618 | 0.8728 |
267
+ | No log | 43.2 | 432 | 0.7440 | 0.2621 | 0.7440 | 0.8626 |
268
+ | No log | 43.4 | 434 | 0.7387 | 0.1952 | 0.7387 | 0.8595 |
269
+ | No log | 43.6 | 436 | 0.7483 | 0.0687 | 0.7483 | 0.8650 |
270
+ | No log | 43.8 | 438 | 0.7438 | 0.0679 | 0.7438 | 0.8624 |
271
+ | No log | 44.0 | 440 | 0.7253 | 0.1051 | 0.7253 | 0.8516 |
272
+ | No log | 44.2 | 442 | 0.7216 | 0.1353 | 0.7216 | 0.8494 |
273
+ | No log | 44.4 | 444 | 0.7410 | 0.2847 | 0.7410 | 0.8608 |
274
+ | No log | 44.6 | 446 | 0.7733 | 0.3996 | 0.7733 | 0.8794 |
275
+ | No log | 44.8 | 448 | 0.8067 | 0.3996 | 0.8067 | 0.8981 |
276
+ | No log | 45.0 | 450 | 0.7920 | 0.3996 | 0.7920 | 0.8899 |
277
+ | No log | 45.2 | 452 | 0.7533 | 0.3737 | 0.7533 | 0.8679 |
278
+ | No log | 45.4 | 454 | 0.7297 | 0.2847 | 0.7297 | 0.8542 |
279
+ | No log | 45.6 | 456 | 0.7163 | 0.3649 | 0.7163 | 0.8463 |
280
+ | No log | 45.8 | 458 | 0.7164 | 0.2683 | 0.7164 | 0.8464 |
281
+ | No log | 46.0 | 460 | 0.7261 | 0.2652 | 0.7261 | 0.8521 |
282
+ | No log | 46.2 | 462 | 0.7270 | 0.2652 | 0.7270 | 0.8527 |
283
+ | No log | 46.4 | 464 | 0.7175 | 0.3239 | 0.7175 | 0.8470 |
284
+ | No log | 46.6 | 466 | 0.7056 | 0.2862 | 0.7056 | 0.8400 |
285
+ | No log | 46.8 | 468 | 0.7061 | 0.3280 | 0.7061 | 0.8403 |
286
+ | No log | 47.0 | 470 | 0.7150 | 0.3183 | 0.7150 | 0.8456 |
287
+ | No log | 47.2 | 472 | 0.7168 | 0.3183 | 0.7168 | 0.8466 |
288
+ | No log | 47.4 | 474 | 0.7073 | 0.3280 | 0.7073 | 0.8410 |
289
+ | No log | 47.6 | 476 | 0.7004 | 0.2965 | 0.7004 | 0.8369 |
290
+ | No log | 47.8 | 478 | 0.7034 | 0.3945 | 0.7034 | 0.8387 |
291
+ | No log | 48.0 | 480 | 0.7255 | 0.3737 | 0.7255 | 0.8518 |
292
+ | No log | 48.2 | 482 | 0.7459 | 0.3996 | 0.7459 | 0.8636 |
293
+ | No log | 48.4 | 484 | 0.7573 | 0.3996 | 0.7573 | 0.8702 |
294
+ | No log | 48.6 | 486 | 0.7483 | 0.3996 | 0.7483 | 0.8651 |
295
+ | No log | 48.8 | 488 | 0.7261 | 0.3737 | 0.7261 | 0.8521 |
296
+ | No log | 49.0 | 490 | 0.7037 | 0.2913 | 0.7037 | 0.8388 |
297
+ | No log | 49.2 | 492 | 0.7016 | 0.2590 | 0.7016 | 0.8376 |
298
+ | No log | 49.4 | 494 | 0.7008 | 0.2936 | 0.7008 | 0.8371 |
299
+ | No log | 49.6 | 496 | 0.7037 | 0.2913 | 0.7037 | 0.8389 |
300
+ | No log | 49.8 | 498 | 0.7121 | 0.2847 | 0.7121 | 0.8439 |
301
+ | 0.2538 | 50.0 | 500 | 0.7385 | 0.3996 | 0.7385 | 0.8594 |
302
+ | 0.2538 | 50.2 | 502 | 0.7637 | 0.3996 | 0.7637 | 0.8739 |
303
+ | 0.2538 | 50.4 | 504 | 0.7736 | 0.3475 | 0.7736 | 0.8795 |
304
+ | 0.2538 | 50.6 | 506 | 0.7671 | 0.3475 | 0.7671 | 0.8758 |
305
+ | 0.2538 | 50.8 | 508 | 0.7650 | 0.3996 | 0.7650 | 0.8746 |
306
+ | 0.2538 | 51.0 | 510 | 0.7441 | 0.3088 | 0.7441 | 0.8626 |
307
+
308
+
309
+ ### Framework versions
310
+
311
+ - Transformers 4.44.2
312
+ - Pytorch 2.4.0+cu118
313
+ - Datasets 2.21.0
314
+ - 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 sha256:5127703df95cd6074e517340d7ddf63bb5d23a048ce7c1c516e40cda562f7b3b
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:981f1566acdbca963c41e386cb756a2071200de7cb8206edcdf1ad5a3fd2aca5
3
+ size 5368