MayBashendy commited on
Commit
df58f2c
·
verified ·
1 Parent(s): ce14b81

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +330 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,330 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_run2_AugV5_k7_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_run2_AugV5_k7_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: 0.7187
19
+ - Qwk: 0.3341
20
+ - Mse: 0.7187
21
+ - Rmse: 0.8478
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 | 0.1176 | 2 | 2.5757 | -0.0924 | 2.5757 | 1.6049 |
53
+ | No log | 0.2353 | 4 | 1.3587 | 0.0994 | 1.3587 | 1.1656 |
54
+ | No log | 0.3529 | 6 | 1.1844 | -0.2292 | 1.1844 | 1.0883 |
55
+ | No log | 0.4706 | 8 | 0.9977 | -0.0426 | 0.9977 | 0.9988 |
56
+ | No log | 0.5882 | 10 | 0.9364 | 0.1007 | 0.9364 | 0.9677 |
57
+ | No log | 0.7059 | 12 | 0.8715 | 0.1648 | 0.8715 | 0.9335 |
58
+ | No log | 0.8235 | 14 | 0.8307 | -0.0103 | 0.8307 | 0.9114 |
59
+ | No log | 0.9412 | 16 | 0.8269 | -0.0483 | 0.8269 | 0.9094 |
60
+ | No log | 1.0588 | 18 | 0.9257 | 0.0495 | 0.9257 | 0.9621 |
61
+ | No log | 1.1765 | 20 | 0.9539 | -0.0700 | 0.9539 | 0.9767 |
62
+ | No log | 1.2941 | 22 | 0.8720 | 0.0027 | 0.8720 | 0.9338 |
63
+ | No log | 1.4118 | 24 | 0.8314 | 0.0 | 0.8314 | 0.9118 |
64
+ | No log | 1.5294 | 26 | 0.8248 | 0.0 | 0.8248 | 0.9082 |
65
+ | No log | 1.6471 | 28 | 0.8307 | 0.1236 | 0.8307 | 0.9114 |
66
+ | No log | 1.7647 | 30 | 0.7798 | 0.0 | 0.7798 | 0.8831 |
67
+ | No log | 1.8824 | 32 | 0.7549 | 0.0 | 0.7549 | 0.8688 |
68
+ | No log | 2.0 | 34 | 0.7683 | 0.0 | 0.7683 | 0.8765 |
69
+ | No log | 2.1176 | 36 | 0.8061 | 0.0481 | 0.8061 | 0.8978 |
70
+ | No log | 2.2353 | 38 | 0.9177 | 0.2526 | 0.9177 | 0.9579 |
71
+ | No log | 2.3529 | 40 | 0.9241 | 0.3444 | 0.9241 | 0.9613 |
72
+ | No log | 2.4706 | 42 | 0.8782 | 0.3173 | 0.8782 | 0.9371 |
73
+ | No log | 2.5882 | 44 | 0.7992 | 0.1372 | 0.7992 | 0.8940 |
74
+ | No log | 2.7059 | 46 | 0.7477 | 0.0937 | 0.7477 | 0.8647 |
75
+ | No log | 2.8235 | 48 | 0.7057 | 0.0428 | 0.7057 | 0.8400 |
76
+ | No log | 2.9412 | 50 | 0.7487 | 0.3243 | 0.7487 | 0.8653 |
77
+ | No log | 3.0588 | 52 | 0.8144 | 0.1648 | 0.8144 | 0.9025 |
78
+ | No log | 3.1765 | 54 | 0.8334 | 0.1699 | 0.8334 | 0.9129 |
79
+ | No log | 3.2941 | 56 | 0.8386 | 0.1094 | 0.8386 | 0.9157 |
80
+ | No log | 3.4118 | 58 | 0.8747 | -0.0027 | 0.8747 | 0.9353 |
81
+ | No log | 3.5294 | 60 | 0.9345 | -0.1275 | 0.9345 | 0.9667 |
82
+ | No log | 3.6471 | 62 | 0.8860 | -0.0444 | 0.8860 | 0.9413 |
83
+ | No log | 3.7647 | 64 | 0.7937 | 0.0 | 0.7937 | 0.8909 |
84
+ | No log | 3.8824 | 66 | 0.7158 | 0.0889 | 0.7158 | 0.8460 |
85
+ | No log | 4.0 | 68 | 0.7009 | 0.0393 | 0.7009 | 0.8372 |
86
+ | No log | 4.1176 | 70 | 0.7320 | 0.0359 | 0.7320 | 0.8556 |
87
+ | No log | 4.2353 | 72 | 0.7952 | -0.0051 | 0.7952 | 0.8917 |
88
+ | No log | 4.3529 | 74 | 0.8104 | 0.0265 | 0.8104 | 0.9002 |
89
+ | No log | 4.4706 | 76 | 0.8378 | 0.0927 | 0.8378 | 0.9153 |
90
+ | No log | 4.5882 | 78 | 0.8915 | 0.0966 | 0.8915 | 0.9442 |
91
+ | No log | 4.7059 | 80 | 0.9184 | 0.1699 | 0.9184 | 0.9583 |
92
+ | No log | 4.8235 | 82 | 0.9273 | 0.2171 | 0.9273 | 0.9630 |
93
+ | No log | 4.9412 | 84 | 0.9053 | 0.1972 | 0.9053 | 0.9515 |
94
+ | No log | 5.0588 | 86 | 0.9132 | 0.0245 | 0.9132 | 0.9556 |
95
+ | No log | 5.1765 | 88 | 0.8966 | 0.0968 | 0.8966 | 0.9469 |
96
+ | No log | 5.2941 | 90 | 0.9317 | 0.1303 | 0.9317 | 0.9652 |
97
+ | No log | 5.4118 | 92 | 0.9620 | 0.2063 | 0.9620 | 0.9808 |
98
+ | No log | 5.5294 | 94 | 0.9345 | 0.2632 | 0.9345 | 0.9667 |
99
+ | No log | 5.6471 | 96 | 0.8433 | 0.3238 | 0.8433 | 0.9183 |
100
+ | No log | 5.7647 | 98 | 0.8240 | 0.2007 | 0.8240 | 0.9078 |
101
+ | No log | 5.8824 | 100 | 0.8275 | -0.0070 | 0.8275 | 0.9096 |
102
+ | No log | 6.0 | 102 | 0.8620 | 0.0362 | 0.8620 | 0.9284 |
103
+ | No log | 6.1176 | 104 | 0.8316 | 0.0697 | 0.8316 | 0.9119 |
104
+ | No log | 6.2353 | 106 | 0.8263 | 0.2345 | 0.8263 | 0.9090 |
105
+ | No log | 6.3529 | 108 | 0.8755 | 0.2604 | 0.8755 | 0.9357 |
106
+ | No log | 6.4706 | 110 | 0.8392 | 0.2171 | 0.8392 | 0.9161 |
107
+ | No log | 6.5882 | 112 | 0.8389 | 0.2063 | 0.8389 | 0.9159 |
108
+ | No log | 6.7059 | 114 | 0.8407 | 0.0 | 0.8407 | 0.9169 |
109
+ | No log | 6.8235 | 116 | 0.7234 | 0.1829 | 0.7234 | 0.8505 |
110
+ | No log | 6.9412 | 118 | 0.6556 | 0.2819 | 0.6556 | 0.8097 |
111
+ | No log | 7.0588 | 120 | 0.6881 | 0.3950 | 0.6881 | 0.8295 |
112
+ | No log | 7.1765 | 122 | 0.8563 | 0.3499 | 0.8563 | 0.9254 |
113
+ | No log | 7.2941 | 124 | 0.9866 | 0.2921 | 0.9866 | 0.9933 |
114
+ | No log | 7.4118 | 126 | 0.9981 | 0.2464 | 0.9981 | 0.9991 |
115
+ | No log | 7.5294 | 128 | 1.0640 | 0.1354 | 1.0640 | 1.0315 |
116
+ | No log | 7.6471 | 130 | 1.5347 | 0.1007 | 1.5347 | 1.2388 |
117
+ | No log | 7.7647 | 132 | 1.5733 | 0.0790 | 1.5733 | 1.2543 |
118
+ | No log | 7.8824 | 134 | 1.2396 | 0.1332 | 1.2396 | 1.1134 |
119
+ | No log | 8.0 | 136 | 0.9817 | 0.0801 | 0.9817 | 0.9908 |
120
+ | No log | 8.1176 | 138 | 0.9364 | 0.2832 | 0.9364 | 0.9677 |
121
+ | No log | 8.2353 | 140 | 0.8926 | 0.3183 | 0.8926 | 0.9448 |
122
+ | No log | 8.3529 | 142 | 0.8516 | 0.3221 | 0.8516 | 0.9228 |
123
+ | No log | 8.4706 | 144 | 0.8222 | 0.2414 | 0.8222 | 0.9068 |
124
+ | No log | 8.5882 | 146 | 0.8010 | 0.2813 | 0.8010 | 0.8950 |
125
+ | No log | 8.7059 | 148 | 0.7963 | 0.2784 | 0.7963 | 0.8924 |
126
+ | No log | 8.8235 | 150 | 0.8079 | 0.3372 | 0.8079 | 0.8989 |
127
+ | No log | 8.9412 | 152 | 0.8412 | 0.3699 | 0.8412 | 0.9171 |
128
+ | No log | 9.0588 | 154 | 0.7978 | 0.3637 | 0.7978 | 0.8932 |
129
+ | No log | 9.1765 | 156 | 0.7614 | 0.3099 | 0.7614 | 0.8726 |
130
+ | No log | 9.2941 | 158 | 0.7245 | 0.1699 | 0.7245 | 0.8512 |
131
+ | No log | 9.4118 | 160 | 0.7185 | 0.1807 | 0.7185 | 0.8477 |
132
+ | No log | 9.5294 | 162 | 0.7381 | 0.1268 | 0.7381 | 0.8592 |
133
+ | No log | 9.6471 | 164 | 0.7843 | 0.2171 | 0.7843 | 0.8856 |
134
+ | No log | 9.7647 | 166 | 0.8367 | 0.2328 | 0.8367 | 0.9147 |
135
+ | No log | 9.8824 | 168 | 0.8363 | 0.1995 | 0.8363 | 0.9145 |
136
+ | No log | 10.0 | 170 | 0.8047 | 0.2589 | 0.8047 | 0.8970 |
137
+ | No log | 10.1176 | 172 | 0.8180 | 0.0652 | 0.8180 | 0.9044 |
138
+ | No log | 10.2353 | 174 | 0.8233 | 0.0652 | 0.8233 | 0.9074 |
139
+ | No log | 10.3529 | 176 | 0.7997 | 0.2027 | 0.7997 | 0.8942 |
140
+ | No log | 10.4706 | 178 | 0.8016 | 0.3372 | 0.8016 | 0.8953 |
141
+ | No log | 10.5882 | 180 | 0.7845 | 0.3819 | 0.7845 | 0.8857 |
142
+ | No log | 10.7059 | 182 | 0.6968 | 0.3032 | 0.6968 | 0.8347 |
143
+ | No log | 10.8235 | 184 | 0.6736 | 0.3425 | 0.6736 | 0.8208 |
144
+ | No log | 10.9412 | 186 | 0.7071 | 0.3127 | 0.7071 | 0.8409 |
145
+ | No log | 11.0588 | 188 | 0.7794 | 0.3372 | 0.7794 | 0.8828 |
146
+ | No log | 11.1765 | 190 | 0.8896 | 0.3782 | 0.8896 | 0.9432 |
147
+ | No log | 11.2941 | 192 | 0.8603 | 0.4251 | 0.8603 | 0.9275 |
148
+ | No log | 11.4118 | 194 | 0.7622 | 0.2784 | 0.7622 | 0.8730 |
149
+ | No log | 11.5294 | 196 | 0.7462 | 0.2683 | 0.7462 | 0.8638 |
150
+ | No log | 11.6471 | 198 | 0.7544 | 0.2683 | 0.7544 | 0.8686 |
151
+ | No log | 11.7647 | 200 | 0.7524 | 0.2319 | 0.7524 | 0.8674 |
152
+ | No log | 11.8824 | 202 | 0.8204 | 0.4089 | 0.8204 | 0.9058 |
153
+ | No log | 12.0 | 204 | 0.8332 | 0.3590 | 0.8332 | 0.9128 |
154
+ | No log | 12.1176 | 206 | 0.8053 | 0.1264 | 0.8053 | 0.8974 |
155
+ | No log | 12.2353 | 208 | 0.8030 | 0.2043 | 0.8030 | 0.8961 |
156
+ | No log | 12.3529 | 210 | 0.8035 | 0.1051 | 0.8035 | 0.8964 |
157
+ | No log | 12.4706 | 212 | 0.7790 | 0.2158 | 0.7790 | 0.8826 |
158
+ | No log | 12.5882 | 214 | 0.7441 | 0.2319 | 0.7441 | 0.8626 |
159
+ | No log | 12.7059 | 216 | 0.7776 | 0.3894 | 0.7776 | 0.8818 |
160
+ | No log | 12.8235 | 218 | 0.7996 | 0.4014 | 0.7996 | 0.8942 |
161
+ | No log | 12.9412 | 220 | 0.7439 | 0.4052 | 0.7439 | 0.8625 |
162
+ | No log | 13.0588 | 222 | 0.7111 | 0.3471 | 0.7111 | 0.8433 |
163
+ | No log | 13.1765 | 224 | 0.6985 | 0.3341 | 0.6985 | 0.8357 |
164
+ | No log | 13.2941 | 226 | 0.7284 | 0.3545 | 0.7284 | 0.8535 |
165
+ | No log | 13.4118 | 228 | 0.8148 | 0.3372 | 0.8148 | 0.9027 |
166
+ | No log | 13.5294 | 230 | 0.9035 | 0.3519 | 0.9035 | 0.9505 |
167
+ | No log | 13.6471 | 232 | 0.8974 | 0.2754 | 0.8974 | 0.9473 |
168
+ | No log | 13.7647 | 234 | 0.8592 | 0.2847 | 0.8592 | 0.9269 |
169
+ | No log | 13.8824 | 236 | 0.8327 | 0.3737 | 0.8327 | 0.9125 |
170
+ | No log | 14.0 | 238 | 0.8219 | 0.3918 | 0.8219 | 0.9066 |
171
+ | No log | 14.1176 | 240 | 0.7738 | 0.3032 | 0.7738 | 0.8797 |
172
+ | No log | 14.2353 | 242 | 0.7455 | 0.3712 | 0.7455 | 0.8634 |
173
+ | No log | 14.3529 | 244 | 0.7875 | 0.3302 | 0.7875 | 0.8874 |
174
+ | No log | 14.4706 | 246 | 0.8593 | 0.3869 | 0.8593 | 0.9270 |
175
+ | No log | 14.5882 | 248 | 0.9272 | 0.3825 | 0.9272 | 0.9629 |
176
+ | No log | 14.7059 | 250 | 0.8637 | 0.3538 | 0.8637 | 0.9294 |
177
+ | No log | 14.8235 | 252 | 0.7736 | 0.3894 | 0.7736 | 0.8795 |
178
+ | No log | 14.9412 | 254 | 0.7035 | 0.3594 | 0.7035 | 0.8387 |
179
+ | No log | 15.0588 | 256 | 0.6780 | 0.4001 | 0.6780 | 0.8234 |
180
+ | No log | 15.1765 | 258 | 0.6778 | 0.4291 | 0.6778 | 0.8233 |
181
+ | No log | 15.2941 | 260 | 0.6805 | 0.4001 | 0.6805 | 0.8249 |
182
+ | No log | 15.4118 | 262 | 0.7081 | 0.4158 | 0.7081 | 0.8415 |
183
+ | No log | 15.5294 | 264 | 0.7434 | 0.3868 | 0.7434 | 0.8622 |
184
+ | No log | 15.6471 | 266 | 0.8074 | 0.3746 | 0.8074 | 0.8986 |
185
+ | No log | 15.7647 | 268 | 0.8077 | 0.3699 | 0.8077 | 0.8987 |
186
+ | No log | 15.8824 | 270 | 0.8001 | 0.4014 | 0.8001 | 0.8945 |
187
+ | No log | 16.0 | 272 | 0.7637 | 0.3770 | 0.7637 | 0.8739 |
188
+ | No log | 16.1176 | 274 | 0.7132 | 0.3518 | 0.7132 | 0.8445 |
189
+ | No log | 16.2353 | 276 | 0.7116 | 0.3238 | 0.7116 | 0.8436 |
190
+ | No log | 16.3529 | 278 | 0.7267 | 0.3238 | 0.7267 | 0.8525 |
191
+ | No log | 16.4706 | 280 | 0.7366 | 0.3099 | 0.7366 | 0.8583 |
192
+ | No log | 16.5882 | 282 | 0.7447 | 0.3712 | 0.7447 | 0.8630 |
193
+ | No log | 16.7059 | 284 | 0.7767 | 0.3712 | 0.7767 | 0.8813 |
194
+ | No log | 16.8235 | 286 | 0.8651 | 0.3675 | 0.8651 | 0.9301 |
195
+ | No log | 16.9412 | 288 | 0.8676 | 0.3606 | 0.8676 | 0.9315 |
196
+ | No log | 17.0588 | 290 | 0.8148 | 0.3819 | 0.8148 | 0.9027 |
197
+ | No log | 17.1765 | 292 | 0.8137 | 0.3637 | 0.8137 | 0.9021 |
198
+ | No log | 17.2941 | 294 | 0.7826 | 0.3737 | 0.7826 | 0.8847 |
199
+ | No log | 17.4118 | 296 | 0.7781 | 0.2847 | 0.7781 | 0.8821 |
200
+ | No log | 17.5294 | 298 | 0.7970 | 0.2319 | 0.7970 | 0.8927 |
201
+ | No log | 17.6471 | 300 | 0.8518 | 0.1918 | 0.8518 | 0.9230 |
202
+ | No log | 17.7647 | 302 | 0.9251 | 0.1866 | 0.9251 | 0.9618 |
203
+ | No log | 17.8824 | 304 | 0.9407 | 0.1866 | 0.9407 | 0.9699 |
204
+ | No log | 18.0 | 306 | 0.8990 | 0.1918 | 0.8990 | 0.9482 |
205
+ | No log | 18.1176 | 308 | 0.8168 | 0.2847 | 0.8168 | 0.9038 |
206
+ | No log | 18.2353 | 310 | 0.7374 | 0.3919 | 0.7374 | 0.8587 |
207
+ | No log | 18.3529 | 312 | 0.7206 | 0.3919 | 0.7206 | 0.8489 |
208
+ | No log | 18.4706 | 314 | 0.7563 | 0.4684 | 0.7563 | 0.8696 |
209
+ | No log | 18.5882 | 316 | 0.7759 | 0.4684 | 0.7759 | 0.8809 |
210
+ | No log | 18.7059 | 318 | 0.7929 | 0.4684 | 0.7929 | 0.8905 |
211
+ | No log | 18.8235 | 320 | 0.7879 | 0.3572 | 0.7879 | 0.8876 |
212
+ | No log | 18.9412 | 322 | 0.7850 | 0.3572 | 0.7850 | 0.8860 |
213
+ | No log | 19.0588 | 324 | 0.7964 | 0.4270 | 0.7964 | 0.8924 |
214
+ | No log | 19.1765 | 326 | 0.8016 | 0.3996 | 0.8016 | 0.8953 |
215
+ | No log | 19.2941 | 328 | 0.8174 | 0.3590 | 0.8174 | 0.9041 |
216
+ | No log | 19.4118 | 330 | 0.7876 | 0.4247 | 0.7876 | 0.8874 |
217
+ | No log | 19.5294 | 332 | 0.8040 | 0.3770 | 0.8040 | 0.8966 |
218
+ | No log | 19.6471 | 334 | 0.7851 | 0.3770 | 0.7851 | 0.8861 |
219
+ | No log | 19.7647 | 336 | 0.7121 | 0.4592 | 0.7121 | 0.8439 |
220
+ | No log | 19.8824 | 338 | 0.6655 | 0.2819 | 0.6655 | 0.8158 |
221
+ | No log | 20.0 | 340 | 0.6671 | 0.2819 | 0.6671 | 0.8167 |
222
+ | No log | 20.1176 | 342 | 0.6997 | 0.3782 | 0.6997 | 0.8365 |
223
+ | No log | 20.2353 | 344 | 0.7596 | 0.4076 | 0.7596 | 0.8715 |
224
+ | No log | 20.3529 | 346 | 0.8016 | 0.3372 | 0.8016 | 0.8953 |
225
+ | No log | 20.4706 | 348 | 0.8415 | 0.3372 | 0.8415 | 0.9173 |
226
+ | No log | 20.5882 | 350 | 0.8207 | 0.3519 | 0.8207 | 0.9059 |
227
+ | No log | 20.7059 | 352 | 0.8039 | 0.3519 | 0.8039 | 0.8966 |
228
+ | No log | 20.8235 | 354 | 0.7602 | 0.3544 | 0.7602 | 0.8719 |
229
+ | No log | 20.9412 | 356 | 0.7442 | 0.4190 | 0.7442 | 0.8626 |
230
+ | No log | 21.0588 | 358 | 0.7384 | 0.4167 | 0.7384 | 0.8593 |
231
+ | No log | 21.1765 | 360 | 0.7168 | 0.4479 | 0.7168 | 0.8467 |
232
+ | No log | 21.2941 | 362 | 0.7191 | 0.4479 | 0.7191 | 0.8480 |
233
+ | No log | 21.4118 | 364 | 0.7384 | 0.4576 | 0.7384 | 0.8593 |
234
+ | No log | 21.5294 | 366 | 0.7592 | 0.4167 | 0.7592 | 0.8713 |
235
+ | No log | 21.6471 | 368 | 0.7503 | 0.4576 | 0.7503 | 0.8662 |
236
+ | No log | 21.7647 | 370 | 0.7116 | 0.4576 | 0.7116 | 0.8436 |
237
+ | No log | 21.8824 | 372 | 0.6735 | 0.3755 | 0.6735 | 0.8207 |
238
+ | No log | 22.0 | 374 | 0.6573 | 0.3123 | 0.6573 | 0.8107 |
239
+ | No log | 22.1176 | 376 | 0.6633 | 0.3976 | 0.6633 | 0.8144 |
240
+ | No log | 22.2353 | 378 | 0.7019 | 0.4753 | 0.7019 | 0.8378 |
241
+ | No log | 22.3529 | 380 | 0.7806 | 0.4167 | 0.7806 | 0.8835 |
242
+ | No log | 22.4706 | 382 | 0.9162 | 0.3913 | 0.9162 | 0.9572 |
243
+ | No log | 22.5882 | 384 | 0.9838 | 0.3128 | 0.9838 | 0.9919 |
244
+ | No log | 22.7059 | 386 | 0.9348 | 0.3012 | 0.9348 | 0.9668 |
245
+ | No log | 22.8235 | 388 | 0.8444 | 0.2883 | 0.8444 | 0.9189 |
246
+ | No log | 22.9412 | 390 | 0.7869 | 0.2145 | 0.7869 | 0.8871 |
247
+ | No log | 23.0588 | 392 | 0.7715 | 0.1863 | 0.7715 | 0.8783 |
248
+ | No log | 23.1765 | 394 | 0.7584 | 0.2206 | 0.7584 | 0.8709 |
249
+ | No log | 23.2941 | 396 | 0.7867 | 0.3020 | 0.7867 | 0.8870 |
250
+ | No log | 23.4118 | 398 | 0.8898 | 0.3972 | 0.8898 | 0.9433 |
251
+ | No log | 23.5294 | 400 | 0.9919 | 0.3473 | 0.9919 | 0.9960 |
252
+ | No log | 23.6471 | 402 | 1.0320 | 0.2781 | 1.0320 | 1.0159 |
253
+ | No log | 23.7647 | 404 | 1.0073 | 0.2387 | 1.0073 | 1.0036 |
254
+ | No log | 23.8824 | 406 | 0.9323 | 0.3060 | 0.9323 | 0.9656 |
255
+ | No log | 24.0 | 408 | 0.9247 | 0.2532 | 0.9247 | 0.9616 |
256
+ | No log | 24.1176 | 410 | 0.9271 | 0.2838 | 0.9271 | 0.9629 |
257
+ | No log | 24.2353 | 412 | 0.9283 | 0.3106 | 0.9283 | 0.9635 |
258
+ | No log | 24.3529 | 414 | 0.9059 | 0.2813 | 0.9059 | 0.9518 |
259
+ | No log | 24.4706 | 416 | 0.9277 | 0.3344 | 0.9277 | 0.9632 |
260
+ | No log | 24.5882 | 418 | 0.9200 | 0.3918 | 0.9200 | 0.9591 |
261
+ | No log | 24.7059 | 420 | 0.8989 | 0.3991 | 0.8989 | 0.9481 |
262
+ | No log | 24.8235 | 422 | 0.8600 | 0.3894 | 0.8600 | 0.9274 |
263
+ | No log | 24.9412 | 424 | 0.8149 | 0.4392 | 0.8149 | 0.9027 |
264
+ | No log | 25.0588 | 426 | 0.7731 | 0.4243 | 0.7731 | 0.8793 |
265
+ | No log | 25.1765 | 428 | 0.7624 | 0.3976 | 0.7624 | 0.8731 |
266
+ | No log | 25.2941 | 430 | 0.7936 | 0.4243 | 0.7936 | 0.8909 |
267
+ | No log | 25.4118 | 432 | 0.8036 | 0.3622 | 0.8036 | 0.8964 |
268
+ | No log | 25.5294 | 434 | 0.8172 | 0.3224 | 0.8172 | 0.9040 |
269
+ | No log | 25.6471 | 436 | 0.7936 | 0.3224 | 0.7936 | 0.8908 |
270
+ | No log | 25.7647 | 438 | 0.7833 | 0.3498 | 0.7833 | 0.8851 |
271
+ | No log | 25.8824 | 440 | 0.7797 | 0.4663 | 0.7797 | 0.8830 |
272
+ | No log | 26.0 | 442 | 0.8268 | 0.3843 | 0.8268 | 0.9093 |
273
+ | No log | 26.1176 | 444 | 0.8310 | 0.3843 | 0.8310 | 0.9116 |
274
+ | No log | 26.2353 | 446 | 0.7962 | 0.4753 | 0.7962 | 0.8923 |
275
+ | No log | 26.3529 | 448 | 0.7693 | 0.4753 | 0.7693 | 0.8771 |
276
+ | No log | 26.4706 | 450 | 0.7771 | 0.4479 | 0.7771 | 0.8816 |
277
+ | No log | 26.5882 | 452 | 0.8233 | 0.4052 | 0.8233 | 0.9074 |
278
+ | No log | 26.7059 | 454 | 0.8303 | 0.3637 | 0.8303 | 0.9112 |
279
+ | No log | 26.8235 | 456 | 0.7922 | 0.4479 | 0.7922 | 0.8901 |
280
+ | No log | 26.9412 | 458 | 0.7423 | 0.3622 | 0.7423 | 0.8616 |
281
+ | No log | 27.0588 | 460 | 0.7357 | 0.2981 | 0.7357 | 0.8577 |
282
+ | No log | 27.1765 | 462 | 0.7645 | 0.3594 | 0.7645 | 0.8744 |
283
+ | No log | 27.2941 | 464 | 0.8427 | 0.3972 | 0.8427 | 0.9180 |
284
+ | No log | 27.4118 | 466 | 0.9057 | 0.3675 | 0.9057 | 0.9517 |
285
+ | No log | 27.5294 | 468 | 0.9028 | 0.3675 | 0.9028 | 0.9501 |
286
+ | No log | 27.6471 | 470 | 0.8554 | 0.3894 | 0.8554 | 0.9249 |
287
+ | No log | 27.7647 | 472 | 0.8067 | 0.4247 | 0.8067 | 0.8982 |
288
+ | No log | 27.8824 | 474 | 0.8030 | 0.4247 | 0.8030 | 0.8961 |
289
+ | No log | 28.0 | 476 | 0.7978 | 0.4247 | 0.7978 | 0.8932 |
290
+ | No log | 28.1176 | 478 | 0.8022 | 0.4052 | 0.8022 | 0.8957 |
291
+ | No log | 28.2353 | 480 | 0.8193 | 0.3972 | 0.8193 | 0.9051 |
292
+ | No log | 28.3529 | 482 | 0.8121 | 0.4479 | 0.8121 | 0.9012 |
293
+ | No log | 28.4706 | 484 | 0.8070 | 0.4479 | 0.8070 | 0.8984 |
294
+ | No log | 28.5882 | 486 | 0.7850 | 0.4219 | 0.7850 | 0.8860 |
295
+ | No log | 28.7059 | 488 | 0.7744 | 0.4502 | 0.7744 | 0.8800 |
296
+ | No log | 28.8235 | 490 | 0.7633 | 0.4502 | 0.7633 | 0.8737 |
297
+ | No log | 28.9412 | 492 | 0.7753 | 0.4774 | 0.7753 | 0.8805 |
298
+ | No log | 29.0588 | 494 | 0.8084 | 0.4076 | 0.8084 | 0.8991 |
299
+ | No log | 29.1765 | 496 | 0.8381 | 0.4330 | 0.8381 | 0.9155 |
300
+ | No log | 29.2941 | 498 | 0.8586 | 0.4409 | 0.8586 | 0.9266 |
301
+ | 0.3134 | 29.4118 | 500 | 0.8490 | 0.4224 | 0.8490 | 0.9214 |
302
+ | 0.3134 | 29.5294 | 502 | 0.8322 | 0.3972 | 0.8322 | 0.9123 |
303
+ | 0.3134 | 29.6471 | 504 | 0.7995 | 0.4479 | 0.7995 | 0.8942 |
304
+ | 0.3134 | 29.7647 | 506 | 0.7992 | 0.4845 | 0.7992 | 0.8940 |
305
+ | 0.3134 | 29.8824 | 508 | 0.8180 | 0.4414 | 0.8180 | 0.9044 |
306
+ | 0.3134 | 30.0 | 510 | 0.8297 | 0.4414 | 0.8297 | 0.9109 |
307
+ | 0.3134 | 30.1176 | 512 | 0.8231 | 0.3649 | 0.8231 | 0.9072 |
308
+ | 0.3134 | 30.2353 | 514 | 0.8386 | 0.3737 | 0.8386 | 0.9158 |
309
+ | 0.3134 | 30.3529 | 516 | 0.8447 | 0.3737 | 0.8447 | 0.9191 |
310
+ | 0.3134 | 30.4706 | 518 | 0.8344 | 0.3471 | 0.8344 | 0.9135 |
311
+ | 0.3134 | 30.5882 | 520 | 0.7964 | 0.4330 | 0.7964 | 0.8924 |
312
+ | 0.3134 | 30.7059 | 522 | 0.7581 | 0.3782 | 0.7581 | 0.8707 |
313
+ | 0.3134 | 30.8235 | 524 | 0.7483 | 0.3782 | 0.7483 | 0.8651 |
314
+ | 0.3134 | 30.9412 | 526 | 0.7706 | 0.4414 | 0.7706 | 0.8779 |
315
+ | 0.3134 | 31.0588 | 528 | 0.8221 | 0.3972 | 0.8221 | 0.9067 |
316
+ | 0.3134 | 31.1765 | 530 | 0.8522 | 0.3972 | 0.8522 | 0.9231 |
317
+ | 0.3134 | 31.2941 | 532 | 0.8332 | 0.4392 | 0.8332 | 0.9128 |
318
+ | 0.3134 | 31.4118 | 534 | 0.7971 | 0.4219 | 0.7971 | 0.8928 |
319
+ | 0.3134 | 31.5294 | 536 | 0.7689 | 0.3950 | 0.7689 | 0.8768 |
320
+ | 0.3134 | 31.6471 | 538 | 0.7299 | 0.3976 | 0.7299 | 0.8543 |
321
+ | 0.3134 | 31.7647 | 540 | 0.7136 | 0.3976 | 0.7136 | 0.8447 |
322
+ | 0.3134 | 31.8824 | 542 | 0.7187 | 0.3341 | 0.7187 | 0.8478 |
323
+
324
+
325
+ ### Framework versions
326
+
327
+ - Transformers 4.44.2
328
+ - Pytorch 2.4.0+cu118
329
+ - Datasets 2.21.0
330
+ - 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:db5fcb64dc3c9dcbf34e66a43928c1acb9d82654d58cbf05a037dc0c7766807e
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:813090c036c62e5b1ebb7b6aecede864b407ce8d7bb47f7e7817c381f65678f1
3
+ size 5368