MayBashendy commited on
Commit
256451f
·
verified ·
1 Parent(s): df7ee50

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +321 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,321 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k3_task5_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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k3_task5_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: 0.8911
19
+ - Qwk: 0.3198
20
+ - Mse: 0.8911
21
+ - Rmse: 0.9440
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 | 0.2222 | 2 | 4.1350 | 0.0024 | 4.1350 | 2.0335 |
53
+ | No log | 0.4444 | 4 | 2.4465 | 0.0069 | 2.4465 | 1.5641 |
54
+ | No log | 0.6667 | 6 | 2.1848 | -0.1238 | 2.1848 | 1.4781 |
55
+ | No log | 0.8889 | 8 | 1.6769 | -0.0598 | 1.6769 | 1.2949 |
56
+ | No log | 1.1111 | 10 | 1.2657 | 0.0608 | 1.2657 | 1.1250 |
57
+ | No log | 1.3333 | 12 | 1.2160 | -0.0181 | 1.2160 | 1.1027 |
58
+ | No log | 1.5556 | 14 | 1.1749 | 0.0917 | 1.1749 | 1.0839 |
59
+ | No log | 1.7778 | 16 | 1.4794 | -0.0328 | 1.4794 | 1.2163 |
60
+ | No log | 2.0 | 18 | 1.5934 | 0.0 | 1.5934 | 1.2623 |
61
+ | No log | 2.2222 | 20 | 1.5202 | 0.0 | 1.5202 | 1.2330 |
62
+ | No log | 2.4444 | 22 | 1.3297 | 0.0 | 1.3297 | 1.1531 |
63
+ | No log | 2.6667 | 24 | 1.2230 | -0.0032 | 1.2230 | 1.1059 |
64
+ | No log | 2.8889 | 26 | 1.1947 | 0.0996 | 1.1947 | 1.0930 |
65
+ | No log | 3.1111 | 28 | 1.1841 | 0.1024 | 1.1841 | 1.0882 |
66
+ | No log | 3.3333 | 30 | 1.2603 | 0.0380 | 1.2603 | 1.1226 |
67
+ | No log | 3.5556 | 32 | 1.3035 | 0.0 | 1.3035 | 1.1417 |
68
+ | No log | 3.7778 | 34 | 1.2329 | 0.0380 | 1.2329 | 1.1104 |
69
+ | No log | 4.0 | 36 | 1.2029 | 0.0349 | 1.2029 | 1.0968 |
70
+ | No log | 4.2222 | 38 | 1.1355 | 0.2271 | 1.1355 | 1.0656 |
71
+ | No log | 4.4444 | 40 | 1.1153 | 0.2221 | 1.1153 | 1.0561 |
72
+ | No log | 4.6667 | 42 | 1.1294 | 0.2343 | 1.1294 | 1.0627 |
73
+ | No log | 4.8889 | 44 | 1.1664 | 0.2343 | 1.1664 | 1.0800 |
74
+ | No log | 5.1111 | 46 | 1.1723 | 0.2343 | 1.1723 | 1.0827 |
75
+ | No log | 5.3333 | 48 | 1.1489 | 0.2564 | 1.1489 | 1.0719 |
76
+ | No log | 5.5556 | 50 | 1.1435 | 0.2366 | 1.1435 | 1.0693 |
77
+ | No log | 5.7778 | 52 | 1.1111 | 0.2841 | 1.1111 | 1.0541 |
78
+ | No log | 6.0 | 54 | 1.0957 | 0.0637 | 1.0957 | 1.0468 |
79
+ | No log | 6.2222 | 56 | 1.0669 | 0.1530 | 1.0669 | 1.0329 |
80
+ | No log | 6.4444 | 58 | 1.0614 | 0.2050 | 1.0614 | 1.0303 |
81
+ | No log | 6.6667 | 60 | 0.9802 | 0.3414 | 0.9802 | 0.9900 |
82
+ | No log | 6.8889 | 62 | 1.0405 | 0.2557 | 1.0405 | 1.0200 |
83
+ | No log | 7.1111 | 64 | 1.2214 | 0.3444 | 1.2214 | 1.1052 |
84
+ | No log | 7.3333 | 66 | 1.2616 | 0.2812 | 1.2616 | 1.1232 |
85
+ | No log | 7.5556 | 68 | 1.0527 | 0.3243 | 1.0527 | 1.0260 |
86
+ | No log | 7.7778 | 70 | 0.9640 | 0.2340 | 0.9640 | 0.9818 |
87
+ | No log | 8.0 | 72 | 1.0281 | 0.2050 | 1.0281 | 1.0139 |
88
+ | No log | 8.2222 | 74 | 1.0636 | 0.1722 | 1.0636 | 1.0313 |
89
+ | No log | 8.4444 | 76 | 0.9973 | 0.2200 | 0.9973 | 0.9987 |
90
+ | No log | 8.6667 | 78 | 0.9532 | 0.1962 | 0.9532 | 0.9763 |
91
+ | No log | 8.8889 | 80 | 0.9695 | 0.2316 | 0.9695 | 0.9846 |
92
+ | No log | 9.1111 | 82 | 0.9678 | 0.2316 | 0.9678 | 0.9838 |
93
+ | No log | 9.3333 | 84 | 0.9774 | 0.2788 | 0.9774 | 0.9886 |
94
+ | No log | 9.5556 | 86 | 1.0089 | 0.24 | 1.0089 | 1.0044 |
95
+ | No log | 9.7778 | 88 | 1.1439 | 0.1830 | 1.1439 | 1.0695 |
96
+ | No log | 10.0 | 90 | 1.2209 | 0.2487 | 1.2209 | 1.1050 |
97
+ | No log | 10.2222 | 92 | 1.1511 | 0.2204 | 1.1511 | 1.0729 |
98
+ | No log | 10.4444 | 94 | 1.1549 | 0.2667 | 1.1549 | 1.0747 |
99
+ | No log | 10.6667 | 96 | 1.1476 | 0.2551 | 1.1476 | 1.0713 |
100
+ | No log | 10.8889 | 98 | 1.1741 | 0.1585 | 1.1741 | 1.0836 |
101
+ | No log | 11.1111 | 100 | 1.1816 | 0.1927 | 1.1816 | 1.0870 |
102
+ | No log | 11.3333 | 102 | 1.1872 | 0.1504 | 1.1872 | 1.0896 |
103
+ | No log | 11.5556 | 104 | 1.2125 | 0.0779 | 1.2125 | 1.1012 |
104
+ | No log | 11.7778 | 106 | 1.2672 | 0.1696 | 1.2672 | 1.1257 |
105
+ | No log | 12.0 | 108 | 1.1717 | 0.0249 | 1.1717 | 1.0824 |
106
+ | No log | 12.2222 | 110 | 1.1030 | 0.1644 | 1.1030 | 1.0502 |
107
+ | No log | 12.4444 | 112 | 1.0716 | 0.1767 | 1.0716 | 1.0352 |
108
+ | No log | 12.6667 | 114 | 1.0264 | 0.2572 | 1.0264 | 1.0131 |
109
+ | No log | 12.8889 | 116 | 1.0163 | 0.2456 | 1.0163 | 1.0081 |
110
+ | No log | 13.1111 | 118 | 0.9875 | 0.2596 | 0.9875 | 0.9937 |
111
+ | No log | 13.3333 | 120 | 1.0239 | 0.2103 | 1.0239 | 1.0119 |
112
+ | No log | 13.5556 | 122 | 1.1162 | 0.2893 | 1.1162 | 1.0565 |
113
+ | No log | 13.7778 | 124 | 1.1210 | 0.2954 | 1.1210 | 1.0588 |
114
+ | No log | 14.0 | 126 | 1.1581 | 0.3141 | 1.1581 | 1.0762 |
115
+ | No log | 14.2222 | 128 | 1.1052 | 0.2394 | 1.1052 | 1.0513 |
116
+ | No log | 14.4444 | 130 | 1.0302 | 0.2596 | 1.0302 | 1.0150 |
117
+ | No log | 14.6667 | 132 | 1.0656 | 0.2077 | 1.0656 | 1.0323 |
118
+ | No log | 14.8889 | 134 | 1.2399 | 0.2661 | 1.2399 | 1.1135 |
119
+ | No log | 15.1111 | 136 | 1.2786 | 0.2661 | 1.2786 | 1.1308 |
120
+ | No log | 15.3333 | 138 | 1.1662 | 0.3405 | 1.1662 | 1.0799 |
121
+ | No log | 15.5556 | 140 | 0.9850 | 0.2677 | 0.9850 | 0.9925 |
122
+ | No log | 15.7778 | 142 | 0.9538 | 0.3590 | 0.9538 | 0.9766 |
123
+ | No log | 16.0 | 144 | 0.9513 | 0.3603 | 0.9513 | 0.9754 |
124
+ | No log | 16.2222 | 146 | 0.9093 | 0.4151 | 0.9093 | 0.9536 |
125
+ | No log | 16.4444 | 148 | 0.9421 | 0.2553 | 0.9421 | 0.9706 |
126
+ | No log | 16.6667 | 150 | 1.0287 | 0.3766 | 1.0287 | 1.0143 |
127
+ | No log | 16.8889 | 152 | 1.0511 | 0.3539 | 1.0511 | 1.0253 |
128
+ | No log | 17.1111 | 154 | 0.9649 | 0.3083 | 0.9649 | 0.9823 |
129
+ | No log | 17.3333 | 156 | 0.9044 | 0.4527 | 0.9044 | 0.9510 |
130
+ | No log | 17.5556 | 158 | 0.9082 | 0.4051 | 0.9082 | 0.9530 |
131
+ | No log | 17.7778 | 160 | 0.9117 | 0.4051 | 0.9117 | 0.9548 |
132
+ | No log | 18.0 | 162 | 0.9157 | 0.3776 | 0.9157 | 0.9569 |
133
+ | No log | 18.2222 | 164 | 0.9518 | 0.3084 | 0.9518 | 0.9756 |
134
+ | No log | 18.4444 | 166 | 0.9606 | 0.2967 | 0.9606 | 0.9801 |
135
+ | No log | 18.6667 | 168 | 0.9121 | 0.4174 | 0.9121 | 0.9550 |
136
+ | No log | 18.8889 | 170 | 0.9279 | 0.3027 | 0.9279 | 0.9633 |
137
+ | No log | 19.1111 | 172 | 0.9606 | 0.2655 | 0.9606 | 0.9801 |
138
+ | No log | 19.3333 | 174 | 0.9375 | 0.2523 | 0.9375 | 0.9682 |
139
+ | No log | 19.5556 | 176 | 0.9128 | 0.2276 | 0.9128 | 0.9554 |
140
+ | No log | 19.7778 | 178 | 0.8963 | 0.4 | 0.8963 | 0.9467 |
141
+ | No log | 20.0 | 180 | 0.9053 | 0.4161 | 0.9053 | 0.9515 |
142
+ | No log | 20.2222 | 182 | 0.9076 | 0.3367 | 0.9076 | 0.9527 |
143
+ | No log | 20.4444 | 184 | 0.9880 | 0.2792 | 0.9880 | 0.9940 |
144
+ | No log | 20.6667 | 186 | 1.0381 | 0.3361 | 1.0381 | 1.0189 |
145
+ | No log | 20.8889 | 188 | 1.0007 | 0.2369 | 1.0007 | 1.0003 |
146
+ | No log | 21.1111 | 190 | 0.9635 | 0.2577 | 0.9635 | 0.9816 |
147
+ | No log | 21.3333 | 192 | 0.9436 | 0.1685 | 0.9436 | 0.9714 |
148
+ | No log | 21.5556 | 194 | 0.9583 | 0.2031 | 0.9583 | 0.9790 |
149
+ | No log | 21.7778 | 196 | 0.9494 | 0.2384 | 0.9494 | 0.9744 |
150
+ | No log | 22.0 | 198 | 0.9406 | 0.2528 | 0.9406 | 0.9698 |
151
+ | No log | 22.2222 | 200 | 0.9650 | 0.3188 | 0.9650 | 0.9823 |
152
+ | No log | 22.4444 | 202 | 0.9429 | 0.3223 | 0.9429 | 0.9710 |
153
+ | No log | 22.6667 | 204 | 0.9282 | 0.3223 | 0.9282 | 0.9634 |
154
+ | No log | 22.8889 | 206 | 0.9057 | 0.3977 | 0.9057 | 0.9517 |
155
+ | No log | 23.1111 | 208 | 0.8997 | 0.3977 | 0.8997 | 0.9485 |
156
+ | No log | 23.3333 | 210 | 0.8888 | 0.3697 | 0.8888 | 0.9427 |
157
+ | No log | 23.5556 | 212 | 0.8892 | 0.3403 | 0.8892 | 0.9429 |
158
+ | No log | 23.7778 | 214 | 0.8974 | 0.3403 | 0.8974 | 0.9473 |
159
+ | No log | 24.0 | 216 | 0.9082 | 0.3258 | 0.9082 | 0.9530 |
160
+ | No log | 24.2222 | 218 | 0.9187 | 0.2794 | 0.9187 | 0.9585 |
161
+ | No log | 24.4444 | 220 | 0.9186 | 0.2794 | 0.9186 | 0.9584 |
162
+ | No log | 24.6667 | 222 | 0.9088 | 0.2944 | 0.9088 | 0.9533 |
163
+ | No log | 24.8889 | 224 | 0.8974 | 0.3556 | 0.8974 | 0.9473 |
164
+ | No log | 25.1111 | 226 | 0.8910 | 0.3840 | 0.8910 | 0.9440 |
165
+ | No log | 25.3333 | 228 | 0.8575 | 0.3576 | 0.8575 | 0.9260 |
166
+ | No log | 25.5556 | 230 | 0.8476 | 0.3896 | 0.8476 | 0.9206 |
167
+ | No log | 25.7778 | 232 | 0.8396 | 0.3896 | 0.8396 | 0.9163 |
168
+ | No log | 26.0 | 234 | 0.8229 | 0.4409 | 0.8229 | 0.9071 |
169
+ | No log | 26.2222 | 236 | 0.8280 | 0.4371 | 0.8280 | 0.9099 |
170
+ | No log | 26.4444 | 238 | 0.8419 | 0.3840 | 0.8419 | 0.9176 |
171
+ | No log | 26.6667 | 240 | 0.8722 | 0.4361 | 0.8722 | 0.9339 |
172
+ | No log | 26.8889 | 242 | 0.8952 | 0.3994 | 0.8952 | 0.9461 |
173
+ | No log | 27.1111 | 244 | 0.8738 | 0.3576 | 0.8738 | 0.9348 |
174
+ | No log | 27.3333 | 246 | 0.8652 | 0.3496 | 0.8652 | 0.9302 |
175
+ | No log | 27.5556 | 248 | 0.8717 | 0.3795 | 0.8717 | 0.9337 |
176
+ | No log | 27.7778 | 250 | 0.8791 | 0.3548 | 0.8791 | 0.9376 |
177
+ | No log | 28.0 | 252 | 0.9129 | 0.2517 | 0.9129 | 0.9554 |
178
+ | No log | 28.2222 | 254 | 0.9378 | 0.2744 | 0.9378 | 0.9684 |
179
+ | No log | 28.4444 | 256 | 0.9269 | 0.3129 | 0.9269 | 0.9628 |
180
+ | No log | 28.6667 | 258 | 0.9243 | 0.3129 | 0.9243 | 0.9614 |
181
+ | No log | 28.8889 | 260 | 0.9050 | 0.3721 | 0.9050 | 0.9513 |
182
+ | No log | 29.1111 | 262 | 0.9189 | 0.3129 | 0.9189 | 0.9586 |
183
+ | No log | 29.3333 | 264 | 0.9080 | 0.3878 | 0.9080 | 0.9529 |
184
+ | No log | 29.5556 | 266 | 0.8977 | 0.4138 | 0.8977 | 0.9475 |
185
+ | No log | 29.7778 | 268 | 0.9077 | 0.4156 | 0.9077 | 0.9527 |
186
+ | No log | 30.0 | 270 | 0.9110 | 0.4138 | 0.9110 | 0.9544 |
187
+ | No log | 30.2222 | 272 | 0.9102 | 0.3858 | 0.9102 | 0.9541 |
188
+ | No log | 30.4444 | 274 | 0.9223 | 0.2842 | 0.9223 | 0.9604 |
189
+ | No log | 30.6667 | 276 | 0.9330 | 0.2965 | 0.9330 | 0.9659 |
190
+ | No log | 30.8889 | 278 | 0.9402 | 0.3272 | 0.9402 | 0.9696 |
191
+ | No log | 31.1111 | 280 | 0.9318 | 0.3721 | 0.9318 | 0.9653 |
192
+ | No log | 31.3333 | 282 | 0.9321 | 0.3455 | 0.9321 | 0.9654 |
193
+ | No log | 31.5556 | 284 | 0.9292 | 0.3134 | 0.9292 | 0.9640 |
194
+ | No log | 31.7778 | 286 | 0.9439 | 0.4198 | 0.9439 | 0.9716 |
195
+ | No log | 32.0 | 288 | 0.9447 | 0.2618 | 0.9447 | 0.9720 |
196
+ | No log | 32.2222 | 290 | 0.9232 | 0.3048 | 0.9232 | 0.9608 |
197
+ | No log | 32.4444 | 292 | 0.9183 | 0.3048 | 0.9183 | 0.9583 |
198
+ | No log | 32.6667 | 294 | 0.9155 | 0.2921 | 0.9155 | 0.9568 |
199
+ | No log | 32.8889 | 296 | 0.9124 | 0.2888 | 0.9124 | 0.9552 |
200
+ | No log | 33.1111 | 298 | 0.9138 | 0.2888 | 0.9138 | 0.9560 |
201
+ | No log | 33.3333 | 300 | 0.9045 | 0.2888 | 0.9045 | 0.9511 |
202
+ | No log | 33.5556 | 302 | 0.9008 | 0.3048 | 0.9008 | 0.9491 |
203
+ | No log | 33.7778 | 304 | 0.8925 | 0.3048 | 0.8925 | 0.9447 |
204
+ | No log | 34.0 | 306 | 0.8818 | 0.3048 | 0.8818 | 0.9391 |
205
+ | No log | 34.2222 | 308 | 0.8819 | 0.3922 | 0.8819 | 0.9391 |
206
+ | No log | 34.4444 | 310 | 0.8773 | 0.4198 | 0.8773 | 0.9366 |
207
+ | No log | 34.6667 | 312 | 0.8543 | 0.3048 | 0.8543 | 0.9243 |
208
+ | No log | 34.8889 | 314 | 0.8421 | 0.2921 | 0.8421 | 0.9177 |
209
+ | No log | 35.1111 | 316 | 0.8384 | 0.2794 | 0.8384 | 0.9156 |
210
+ | No log | 35.3333 | 318 | 0.8388 | 0.2818 | 0.8388 | 0.9159 |
211
+ | No log | 35.5556 | 320 | 0.8461 | 0.3048 | 0.8461 | 0.9198 |
212
+ | No log | 35.7778 | 322 | 0.8600 | 0.3922 | 0.8600 | 0.9274 |
213
+ | No log | 36.0 | 324 | 0.8895 | 0.3922 | 0.8895 | 0.9431 |
214
+ | No log | 36.2222 | 326 | 0.8911 | 0.3922 | 0.8911 | 0.9440 |
215
+ | No log | 36.4444 | 328 | 0.8806 | 0.3922 | 0.8806 | 0.9384 |
216
+ | No log | 36.6667 | 330 | 0.8664 | 0.3922 | 0.8664 | 0.9308 |
217
+ | No log | 36.8889 | 332 | 0.8574 | 0.3506 | 0.8574 | 0.9259 |
218
+ | No log | 37.1111 | 334 | 0.8584 | 0.3370 | 0.8584 | 0.9265 |
219
+ | No log | 37.3333 | 336 | 0.8610 | 0.3112 | 0.8610 | 0.9279 |
220
+ | No log | 37.5556 | 338 | 0.8715 | 0.3048 | 0.8715 | 0.9335 |
221
+ | No log | 37.7778 | 340 | 0.8918 | 0.3360 | 0.8918 | 0.9443 |
222
+ | No log | 38.0 | 342 | 0.9056 | 0.3515 | 0.9056 | 0.9516 |
223
+ | No log | 38.2222 | 344 | 0.9179 | 0.3515 | 0.9179 | 0.9581 |
224
+ | No log | 38.4444 | 346 | 0.9187 | 0.3515 | 0.9187 | 0.9585 |
225
+ | No log | 38.6667 | 348 | 0.8816 | 0.3631 | 0.8816 | 0.9389 |
226
+ | No log | 38.8889 | 350 | 0.8548 | 0.3370 | 0.8548 | 0.9246 |
227
+ | No log | 39.1111 | 352 | 0.8606 | 0.3981 | 0.8606 | 0.9277 |
228
+ | No log | 39.3333 | 354 | 0.8653 | 0.4267 | 0.8653 | 0.9302 |
229
+ | No log | 39.5556 | 356 | 0.8599 | 0.3519 | 0.8599 | 0.9273 |
230
+ | No log | 39.7778 | 358 | 0.8662 | 0.3348 | 0.8662 | 0.9307 |
231
+ | No log | 40.0 | 360 | 0.8854 | 0.3922 | 0.8854 | 0.9410 |
232
+ | No log | 40.2222 | 362 | 0.8798 | 0.3922 | 0.8798 | 0.9380 |
233
+ | No log | 40.4444 | 364 | 0.8827 | 0.3360 | 0.8827 | 0.9395 |
234
+ | No log | 40.6667 | 366 | 0.8787 | 0.3476 | 0.8787 | 0.9374 |
235
+ | No log | 40.8889 | 368 | 0.8757 | 0.3280 | 0.8757 | 0.9358 |
236
+ | No log | 41.1111 | 370 | 0.8901 | 0.2944 | 0.8901 | 0.9434 |
237
+ | No log | 41.3333 | 372 | 0.9215 | 0.2547 | 0.9215 | 0.9600 |
238
+ | No log | 41.5556 | 374 | 0.9818 | 0.3372 | 0.9818 | 0.9908 |
239
+ | No log | 41.7778 | 376 | 1.0350 | 0.3523 | 1.0350 | 1.0173 |
240
+ | No log | 42.0 | 378 | 1.0330 | 0.3523 | 1.0330 | 1.0164 |
241
+ | No log | 42.2222 | 380 | 0.9811 | 0.4041 | 0.9811 | 0.9905 |
242
+ | No log | 42.4444 | 382 | 0.9086 | 0.3802 | 0.9086 | 0.9532 |
243
+ | No log | 42.6667 | 384 | 0.8775 | 0.3280 | 0.8775 | 0.9367 |
244
+ | No log | 42.8889 | 386 | 0.8729 | 0.2888 | 0.8729 | 0.9343 |
245
+ | No log | 43.1111 | 388 | 0.8808 | 0.3733 | 0.8808 | 0.9385 |
246
+ | No log | 43.3333 | 390 | 0.8834 | 0.3733 | 0.8834 | 0.9399 |
247
+ | No log | 43.5556 | 392 | 0.8731 | 0.3280 | 0.8731 | 0.9344 |
248
+ | No log | 43.7778 | 394 | 0.8719 | 0.2921 | 0.8719 | 0.9338 |
249
+ | No log | 44.0 | 396 | 0.8894 | 0.3048 | 0.8894 | 0.9431 |
250
+ | No log | 44.2222 | 398 | 0.9168 | 0.3802 | 0.9168 | 0.9575 |
251
+ | No log | 44.4444 | 400 | 0.9106 | 0.3802 | 0.9106 | 0.9543 |
252
+ | No log | 44.6667 | 402 | 0.8809 | 0.4198 | 0.8809 | 0.9385 |
253
+ | No log | 44.8889 | 404 | 0.8606 | 0.3071 | 0.8606 | 0.9277 |
254
+ | No log | 45.1111 | 406 | 0.8854 | 0.3488 | 0.8854 | 0.9409 |
255
+ | No log | 45.3333 | 408 | 0.9139 | 0.3814 | 0.9139 | 0.9560 |
256
+ | No log | 45.5556 | 410 | 0.9121 | 0.3814 | 0.9121 | 0.9550 |
257
+ | No log | 45.7778 | 412 | 0.8981 | 0.3795 | 0.8981 | 0.9477 |
258
+ | No log | 46.0 | 414 | 0.8788 | 0.3323 | 0.8788 | 0.9375 |
259
+ | No log | 46.2222 | 416 | 0.8747 | 0.3011 | 0.8747 | 0.9353 |
260
+ | No log | 46.4444 | 418 | 0.8815 | 0.3011 | 0.8815 | 0.9389 |
261
+ | No log | 46.6667 | 420 | 0.8876 | 0.3033 | 0.8876 | 0.9421 |
262
+ | No log | 46.8889 | 422 | 0.8911 | 0.2967 | 0.8911 | 0.9440 |
263
+ | No log | 47.1111 | 424 | 0.8966 | 0.2818 | 0.8966 | 0.9469 |
264
+ | No log | 47.3333 | 426 | 0.9004 | 0.2921 | 0.9004 | 0.9489 |
265
+ | No log | 47.5556 | 428 | 0.9053 | 0.3048 | 0.9053 | 0.9515 |
266
+ | No log | 47.7778 | 430 | 0.9067 | 0.3048 | 0.9067 | 0.9522 |
267
+ | No log | 48.0 | 432 | 0.9019 | 0.3048 | 0.9019 | 0.9497 |
268
+ | No log | 48.2222 | 434 | 0.9028 | 0.3048 | 0.9028 | 0.9502 |
269
+ | No log | 48.4444 | 436 | 0.8993 | 0.2921 | 0.8993 | 0.9483 |
270
+ | No log | 48.6667 | 438 | 0.8965 | 0.2921 | 0.8965 | 0.9469 |
271
+ | No log | 48.8889 | 440 | 0.8913 | 0.2921 | 0.8913 | 0.9441 |
272
+ | No log | 49.1111 | 442 | 0.8919 | 0.3094 | 0.8919 | 0.9444 |
273
+ | No log | 49.3333 | 444 | 0.9173 | 0.3200 | 0.9173 | 0.9577 |
274
+ | No log | 49.5556 | 446 | 0.9195 | 0.3200 | 0.9195 | 0.9589 |
275
+ | No log | 49.7778 | 448 | 0.9156 | 0.2788 | 0.9156 | 0.9569 |
276
+ | No log | 50.0 | 450 | 0.9148 | 0.2643 | 0.9148 | 0.9564 |
277
+ | No log | 50.2222 | 452 | 0.9180 | 0.2785 | 0.9180 | 0.9581 |
278
+ | No log | 50.4444 | 454 | 0.9214 | 0.3097 | 0.9214 | 0.9599 |
279
+ | No log | 50.6667 | 456 | 0.9298 | 0.2984 | 0.9298 | 0.9643 |
280
+ | No log | 50.8889 | 458 | 0.9298 | 0.2669 | 0.9298 | 0.9643 |
281
+ | No log | 51.1111 | 460 | 0.9269 | 0.2521 | 0.9269 | 0.9628 |
282
+ | No log | 51.3333 | 462 | 0.9139 | 0.2967 | 0.9139 | 0.9560 |
283
+ | No log | 51.5556 | 464 | 0.9110 | 0.2944 | 0.9110 | 0.9545 |
284
+ | No log | 51.7778 | 466 | 0.9276 | 0.2618 | 0.9276 | 0.9631 |
285
+ | No log | 52.0 | 468 | 0.9414 | 0.2618 | 0.9414 | 0.9703 |
286
+ | No log | 52.2222 | 470 | 0.9445 | 0.2618 | 0.9445 | 0.9719 |
287
+ | No log | 52.4444 | 472 | 0.9360 | 0.2618 | 0.9360 | 0.9675 |
288
+ | No log | 52.6667 | 474 | 0.9194 | 0.2618 | 0.9194 | 0.9589 |
289
+ | No log | 52.8889 | 476 | 0.9118 | 0.3243 | 0.9118 | 0.9549 |
290
+ | No log | 53.1111 | 478 | 0.9285 | 0.3243 | 0.9285 | 0.9636 |
291
+ | No log | 53.3333 | 480 | 0.9444 | 0.3352 | 0.9444 | 0.9718 |
292
+ | No log | 53.5556 | 482 | 0.9463 | 0.3352 | 0.9463 | 0.9728 |
293
+ | No log | 53.7778 | 484 | 0.9607 | 0.3402 | 0.9607 | 0.9801 |
294
+ | No log | 54.0 | 486 | 0.9548 | 0.3402 | 0.9548 | 0.9772 |
295
+ | No log | 54.2222 | 488 | 0.9293 | 0.3627 | 0.9293 | 0.9640 |
296
+ | No log | 54.4444 | 490 | 0.9140 | 0.4069 | 0.9140 | 0.9561 |
297
+ | No log | 54.6667 | 492 | 0.9028 | 0.3548 | 0.9028 | 0.9502 |
298
+ | No log | 54.8889 | 494 | 0.8988 | 0.3370 | 0.8988 | 0.9480 |
299
+ | No log | 55.1111 | 496 | 0.8987 | 0.3688 | 0.8987 | 0.9480 |
300
+ | No log | 55.3333 | 498 | 0.8982 | 0.3562 | 0.8982 | 0.9477 |
301
+ | 0.2013 | 55.5556 | 500 | 0.8956 | 0.3688 | 0.8956 | 0.9464 |
302
+ | 0.2013 | 55.7778 | 502 | 0.8974 | 0.3435 | 0.8974 | 0.9473 |
303
+ | 0.2013 | 56.0 | 504 | 0.9083 | 0.3835 | 0.9083 | 0.9531 |
304
+ | 0.2013 | 56.2222 | 506 | 0.9543 | 0.3421 | 0.9543 | 0.9769 |
305
+ | 0.2013 | 56.4444 | 508 | 0.9894 | 0.3197 | 0.9894 | 0.9947 |
306
+ | 0.2013 | 56.6667 | 510 | 0.9735 | 0.3309 | 0.9735 | 0.9867 |
307
+ | 0.2013 | 56.8889 | 512 | 0.9225 | 0.3603 | 0.9225 | 0.9605 |
308
+ | 0.2013 | 57.1111 | 514 | 0.8998 | 0.4304 | 0.8998 | 0.9486 |
309
+ | 0.2013 | 57.3333 | 516 | 0.8959 | 0.2944 | 0.8959 | 0.9465 |
310
+ | 0.2013 | 57.5556 | 518 | 0.8939 | 0.3198 | 0.8939 | 0.9454 |
311
+ | 0.2013 | 57.7778 | 520 | 0.8936 | 0.3198 | 0.8936 | 0.9453 |
312
+ | 0.2013 | 58.0 | 522 | 0.8922 | 0.3198 | 0.8922 | 0.9446 |
313
+ | 0.2013 | 58.2222 | 524 | 0.8911 | 0.3198 | 0.8911 | 0.9440 |
314
+
315
+
316
+ ### Framework versions
317
+
318
+ - Transformers 4.44.2
319
+ - Pytorch 2.4.0+cu118
320
+ - Datasets 2.21.0
321
+ - 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 sha256:70f5bdcc280bcd77a3667cf3ddbe10d4d5a2369fa79b2af63fa8056683958be9
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:901f69b6d3857281bebd8e6fe3ac6075e5088705ca327d3744c32cc87f8dca94
3
+ size 5304