MayBashendy commited on
Commit
f29f0ca
·
verified ·
1 Parent(s): d620692

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +338 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,338 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_k10_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_k10_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: 0.8295
19
+ - Qwk: 0.2527
20
+ - Mse: 0.8295
21
+ - Rmse: 0.9108
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 | 0.0833 | 2 | 2.5562 | -0.0449 | 2.5562 | 1.5988 |
53
+ | No log | 0.1667 | 4 | 1.2422 | 0.0726 | 1.2422 | 1.1145 |
54
+ | No log | 0.25 | 6 | 0.9587 | -0.0970 | 0.9587 | 0.9791 |
55
+ | No log | 0.3333 | 8 | 0.8678 | 0.1010 | 0.8678 | 0.9316 |
56
+ | No log | 0.4167 | 10 | 0.7701 | 0.0688 | 0.7701 | 0.8776 |
57
+ | No log | 0.5 | 12 | 0.8958 | 0.2387 | 0.8958 | 0.9465 |
58
+ | No log | 0.5833 | 14 | 0.7668 | 0.2261 | 0.7668 | 0.8757 |
59
+ | No log | 0.6667 | 16 | 0.8024 | 0.2740 | 0.8024 | 0.8957 |
60
+ | No log | 0.75 | 18 | 1.1118 | 0.0518 | 1.1118 | 1.0544 |
61
+ | No log | 0.8333 | 20 | 1.0401 | 0.2037 | 1.0401 | 1.0198 |
62
+ | No log | 0.9167 | 22 | 0.8404 | 0.1786 | 0.8404 | 0.9167 |
63
+ | No log | 1.0 | 24 | 0.8079 | 0.0937 | 0.8079 | 0.8988 |
64
+ | No log | 1.0833 | 26 | 0.8021 | 0.0 | 0.8021 | 0.8956 |
65
+ | No log | 1.1667 | 28 | 0.7711 | 0.0 | 0.7711 | 0.8781 |
66
+ | No log | 1.25 | 30 | 0.7354 | 0.0 | 0.7354 | 0.8576 |
67
+ | No log | 1.3333 | 32 | 0.7161 | 0.0840 | 0.7161 | 0.8462 |
68
+ | No log | 1.4167 | 34 | 0.7131 | 0.0840 | 0.7131 | 0.8444 |
69
+ | No log | 1.5 | 36 | 0.6958 | 0.1236 | 0.6958 | 0.8342 |
70
+ | No log | 1.5833 | 38 | 0.6690 | 0.3323 | 0.6690 | 0.8179 |
71
+ | No log | 1.6667 | 40 | 0.8661 | 0.3231 | 0.8661 | 0.9306 |
72
+ | No log | 1.75 | 42 | 1.0737 | 0.2510 | 1.0737 | 1.0362 |
73
+ | No log | 1.8333 | 44 | 1.1826 | -0.0960 | 1.1826 | 1.0875 |
74
+ | No log | 1.9167 | 46 | 1.0100 | -0.1823 | 1.0100 | 1.0050 |
75
+ | No log | 2.0 | 48 | 0.7369 | -0.0027 | 0.7369 | 0.8585 |
76
+ | No log | 2.0833 | 50 | 0.7957 | 0.1372 | 0.7957 | 0.8920 |
77
+ | No log | 2.1667 | 52 | 0.8417 | 0.2526 | 0.8417 | 0.9175 |
78
+ | No log | 2.25 | 54 | 0.7856 | 0.2181 | 0.7856 | 0.8864 |
79
+ | No log | 2.3333 | 56 | 0.7029 | 0.0937 | 0.7029 | 0.8384 |
80
+ | No log | 2.4167 | 58 | 0.6646 | 0.0393 | 0.6646 | 0.8153 |
81
+ | No log | 2.5 | 60 | 0.7157 | 0.2817 | 0.7157 | 0.8460 |
82
+ | No log | 2.5833 | 62 | 0.6541 | 0.3789 | 0.6541 | 0.8087 |
83
+ | No log | 2.6667 | 64 | 0.5738 | 0.3416 | 0.5738 | 0.7575 |
84
+ | No log | 2.75 | 66 | 0.5736 | 0.3745 | 0.5736 | 0.7574 |
85
+ | No log | 2.8333 | 68 | 0.6010 | 0.4243 | 0.6010 | 0.7753 |
86
+ | No log | 2.9167 | 70 | 0.6401 | 0.4728 | 0.6401 | 0.8001 |
87
+ | No log | 3.0 | 72 | 0.6577 | 0.4644 | 0.6577 | 0.8110 |
88
+ | No log | 3.0833 | 74 | 0.6102 | 0.4020 | 0.6102 | 0.7812 |
89
+ | No log | 3.1667 | 76 | 0.5533 | 0.4929 | 0.5533 | 0.7438 |
90
+ | No log | 3.25 | 78 | 0.5857 | 0.4259 | 0.5857 | 0.7653 |
91
+ | No log | 3.3333 | 80 | 0.5910 | 0.4259 | 0.5910 | 0.7687 |
92
+ | No log | 3.4167 | 82 | 0.5542 | 0.4161 | 0.5542 | 0.7444 |
93
+ | No log | 3.5 | 84 | 0.6259 | 0.4618 | 0.6259 | 0.7911 |
94
+ | No log | 3.5833 | 86 | 0.6814 | 0.4270 | 0.6814 | 0.8255 |
95
+ | No log | 3.6667 | 88 | 0.7034 | 0.3399 | 0.7034 | 0.8387 |
96
+ | No log | 3.75 | 90 | 0.7211 | 0.3099 | 0.7211 | 0.8492 |
97
+ | No log | 3.8333 | 92 | 0.6896 | 0.2171 | 0.6896 | 0.8304 |
98
+ | No log | 3.9167 | 94 | 0.6397 | 0.2852 | 0.6397 | 0.7998 |
99
+ | No log | 4.0 | 96 | 0.6207 | 0.2783 | 0.6207 | 0.7879 |
100
+ | No log | 4.0833 | 98 | 0.7375 | 0.3712 | 0.7375 | 0.8588 |
101
+ | No log | 4.1667 | 100 | 0.8024 | 0.3782 | 0.8024 | 0.8957 |
102
+ | No log | 4.25 | 102 | 0.8846 | 0.3560 | 0.8846 | 0.9405 |
103
+ | No log | 4.3333 | 104 | 0.7926 | 0.4597 | 0.7926 | 0.8903 |
104
+ | No log | 4.4167 | 106 | 0.7748 | 0.4265 | 0.7748 | 0.8802 |
105
+ | No log | 4.5 | 108 | 0.7953 | 0.4057 | 0.7953 | 0.8918 |
106
+ | No log | 4.5833 | 110 | 0.8548 | 0.4199 | 0.8548 | 0.9246 |
107
+ | No log | 4.6667 | 112 | 0.9362 | 0.3274 | 0.9362 | 0.9676 |
108
+ | No log | 4.75 | 114 | 0.9529 | 0.3274 | 0.9529 | 0.9762 |
109
+ | No log | 4.8333 | 116 | 1.0662 | 0.3007 | 1.0662 | 1.0326 |
110
+ | No log | 4.9167 | 118 | 0.9911 | 0.3174 | 0.9911 | 0.9955 |
111
+ | No log | 5.0 | 120 | 0.8298 | 0.2564 | 0.8298 | 0.9109 |
112
+ | No log | 5.0833 | 122 | 0.8274 | 0.2589 | 0.8274 | 0.9096 |
113
+ | No log | 5.1667 | 124 | 1.0497 | 0.2348 | 1.0497 | 1.0246 |
114
+ | No log | 5.25 | 126 | 1.3403 | 0.2441 | 1.3403 | 1.1577 |
115
+ | No log | 5.3333 | 128 | 1.4616 | 0.2178 | 1.4616 | 1.2090 |
116
+ | No log | 5.4167 | 130 | 1.1661 | 0.2421 | 1.1661 | 1.0798 |
117
+ | No log | 5.5 | 132 | 0.9477 | 0.2706 | 0.9477 | 0.9735 |
118
+ | No log | 5.5833 | 134 | 1.1656 | 0.3211 | 1.1656 | 1.0796 |
119
+ | No log | 5.6667 | 136 | 1.6569 | 0.2552 | 1.6569 | 1.2872 |
120
+ | No log | 5.75 | 138 | 1.6522 | 0.2382 | 1.6522 | 1.2854 |
121
+ | No log | 5.8333 | 140 | 1.1307 | 0.3237 | 1.1307 | 1.0633 |
122
+ | No log | 5.9167 | 142 | 0.6350 | 0.4473 | 0.6350 | 0.7969 |
123
+ | No log | 6.0 | 144 | 0.6517 | 0.3879 | 0.6517 | 0.8073 |
124
+ | No log | 6.0833 | 146 | 0.6581 | 0.3060 | 0.6581 | 0.8112 |
125
+ | No log | 6.1667 | 148 | 0.6234 | 0.5056 | 0.6234 | 0.7895 |
126
+ | No log | 6.25 | 150 | 0.7604 | 0.3869 | 0.7604 | 0.8720 |
127
+ | No log | 6.3333 | 152 | 0.9104 | 0.3029 | 0.9104 | 0.9541 |
128
+ | No log | 6.4167 | 154 | 0.8212 | 0.3251 | 0.8212 | 0.9062 |
129
+ | No log | 6.5 | 156 | 0.6999 | 0.4684 | 0.6999 | 0.8366 |
130
+ | No log | 6.5833 | 158 | 0.6664 | 0.4300 | 0.6664 | 0.8163 |
131
+ | No log | 6.6667 | 160 | 0.6854 | 0.4091 | 0.6854 | 0.8279 |
132
+ | No log | 6.75 | 162 | 0.8049 | 0.3699 | 0.8049 | 0.8972 |
133
+ | No log | 6.8333 | 164 | 1.0896 | 0.2398 | 1.0896 | 1.0438 |
134
+ | No log | 6.9167 | 166 | 1.1595 | 0.2622 | 1.1595 | 1.0768 |
135
+ | No log | 7.0 | 168 | 0.9405 | 0.3019 | 0.9405 | 0.9698 |
136
+ | No log | 7.0833 | 170 | 0.8121 | 0.3409 | 0.8121 | 0.9012 |
137
+ | No log | 7.1667 | 172 | 0.7285 | 0.3341 | 0.7285 | 0.8536 |
138
+ | No log | 7.25 | 174 | 0.7399 | 0.3622 | 0.7399 | 0.8601 |
139
+ | No log | 7.3333 | 176 | 0.8476 | 0.3069 | 0.8476 | 0.9206 |
140
+ | No log | 7.4167 | 178 | 0.9483 | 0.2754 | 0.9483 | 0.9738 |
141
+ | No log | 7.5 | 180 | 0.8717 | 0.2651 | 0.8717 | 0.9336 |
142
+ | No log | 7.5833 | 182 | 0.7594 | 0.3399 | 0.7594 | 0.8714 |
143
+ | No log | 7.6667 | 184 | 0.7554 | 0.3814 | 0.7554 | 0.8691 |
144
+ | No log | 7.75 | 186 | 0.8325 | 0.3043 | 0.8325 | 0.9124 |
145
+ | No log | 7.8333 | 188 | 0.8615 | 0.3194 | 0.8615 | 0.9282 |
146
+ | No log | 7.9167 | 190 | 0.9845 | 0.2297 | 0.9845 | 0.9922 |
147
+ | No log | 8.0 | 192 | 0.9940 | 0.2297 | 0.9940 | 0.9970 |
148
+ | No log | 8.0833 | 194 | 0.9340 | 0.3076 | 0.9340 | 0.9664 |
149
+ | No log | 8.1667 | 196 | 0.8769 | 0.3134 | 0.8769 | 0.9364 |
150
+ | No log | 8.25 | 198 | 0.8263 | 0.2492 | 0.8263 | 0.9090 |
151
+ | No log | 8.3333 | 200 | 0.9214 | 0.3134 | 0.9214 | 0.9599 |
152
+ | No log | 8.4167 | 202 | 1.1103 | 0.2306 | 1.1103 | 1.0537 |
153
+ | No log | 8.5 | 204 | 1.2582 | 0.2020 | 1.2582 | 1.1217 |
154
+ | No log | 8.5833 | 206 | 1.1262 | 0.2168 | 1.1262 | 1.0612 |
155
+ | No log | 8.6667 | 208 | 0.8598 | 0.2905 | 0.8598 | 0.9273 |
156
+ | No log | 8.75 | 210 | 0.7314 | 0.4522 | 0.7314 | 0.8552 |
157
+ | No log | 8.8333 | 212 | 0.7014 | 0.4294 | 0.7014 | 0.8375 |
158
+ | No log | 8.9167 | 214 | 0.6956 | 0.4522 | 0.6956 | 0.8340 |
159
+ | No log | 9.0 | 216 | 0.7572 | 0.3824 | 0.7572 | 0.8702 |
160
+ | No log | 9.0833 | 218 | 0.6921 | 0.3963 | 0.6921 | 0.8319 |
161
+ | No log | 9.1667 | 220 | 0.6668 | 0.3662 | 0.6668 | 0.8166 |
162
+ | No log | 9.25 | 222 | 0.6332 | 0.3622 | 0.6332 | 0.7958 |
163
+ | No log | 9.3333 | 224 | 0.6500 | 0.3545 | 0.6500 | 0.8062 |
164
+ | No log | 9.4167 | 226 | 0.6875 | 0.3127 | 0.6875 | 0.8291 |
165
+ | No log | 9.5 | 228 | 0.7963 | 0.3869 | 0.7963 | 0.8923 |
166
+ | No log | 9.5833 | 230 | 0.9294 | 0.3827 | 0.9294 | 0.9640 |
167
+ | No log | 9.6667 | 232 | 1.0154 | 0.3557 | 1.0154 | 1.0077 |
168
+ | No log | 9.75 | 234 | 0.9698 | 0.3613 | 0.9698 | 0.9848 |
169
+ | No log | 9.8333 | 236 | 0.8237 | 0.3297 | 0.8237 | 0.9076 |
170
+ | No log | 9.9167 | 238 | 0.7296 | 0.3261 | 0.7296 | 0.8542 |
171
+ | No log | 10.0 | 240 | 0.7333 | 0.3261 | 0.7333 | 0.8564 |
172
+ | No log | 10.0833 | 242 | 0.7409 | 0.3099 | 0.7409 | 0.8608 |
173
+ | No log | 10.1667 | 244 | 0.8101 | 0.2904 | 0.8101 | 0.9001 |
174
+ | No log | 10.25 | 246 | 0.8293 | 0.3105 | 0.8293 | 0.9107 |
175
+ | No log | 10.3333 | 248 | 0.8240 | 0.3675 | 0.8240 | 0.9077 |
176
+ | No log | 10.4167 | 250 | 0.9447 | 0.3477 | 0.9447 | 0.9720 |
177
+ | No log | 10.5 | 252 | 0.9702 | 0.3597 | 0.9702 | 0.9850 |
178
+ | No log | 10.5833 | 254 | 0.9140 | 0.4277 | 0.9140 | 0.9561 |
179
+ | No log | 10.6667 | 256 | 0.8081 | 0.3981 | 0.8081 | 0.8989 |
180
+ | No log | 10.75 | 258 | 0.6943 | 0.3157 | 0.6943 | 0.8332 |
181
+ | No log | 10.8333 | 260 | 0.7186 | 0.2932 | 0.7186 | 0.8477 |
182
+ | No log | 10.9167 | 262 | 0.8629 | 0.4255 | 0.8629 | 0.9289 |
183
+ | No log | 11.0 | 264 | 1.0266 | 0.3110 | 1.0266 | 1.0132 |
184
+ | No log | 11.0833 | 266 | 0.9507 | 0.3576 | 0.9507 | 0.9750 |
185
+ | No log | 11.1667 | 268 | 0.8436 | 0.4154 | 0.8436 | 0.9185 |
186
+ | No log | 11.25 | 270 | 0.7393 | 0.3564 | 0.7393 | 0.8598 |
187
+ | No log | 11.3333 | 272 | 0.6731 | 0.2817 | 0.6731 | 0.8204 |
188
+ | No log | 11.4167 | 274 | 0.6102 | 0.3701 | 0.6102 | 0.7812 |
189
+ | No log | 11.5 | 276 | 0.6251 | 0.3127 | 0.6251 | 0.7906 |
190
+ | No log | 11.5833 | 278 | 0.7823 | 0.4067 | 0.7823 | 0.8845 |
191
+ | No log | 11.6667 | 280 | 1.0419 | 0.3059 | 1.0419 | 1.0207 |
192
+ | No log | 11.75 | 282 | 1.0811 | 0.3010 | 1.0811 | 1.0398 |
193
+ | No log | 11.8333 | 284 | 0.9620 | 0.3481 | 0.9620 | 0.9808 |
194
+ | No log | 11.9167 | 286 | 0.7539 | 0.4726 | 0.7539 | 0.8683 |
195
+ | No log | 12.0 | 288 | 0.6245 | 0.3425 | 0.6245 | 0.7903 |
196
+ | No log | 12.0833 | 290 | 0.6045 | 0.3840 | 0.6045 | 0.7775 |
197
+ | No log | 12.1667 | 292 | 0.6462 | 0.3127 | 0.6462 | 0.8039 |
198
+ | No log | 12.25 | 294 | 0.7827 | 0.4307 | 0.7827 | 0.8847 |
199
+ | No log | 12.3333 | 296 | 1.0226 | 0.3247 | 1.0226 | 1.0113 |
200
+ | No log | 12.4167 | 298 | 1.1271 | 0.3404 | 1.1271 | 1.0617 |
201
+ | No log | 12.5 | 300 | 1.0097 | 0.3247 | 1.0097 | 1.0048 |
202
+ | No log | 12.5833 | 302 | 0.8532 | 0.3665 | 0.8532 | 0.9237 |
203
+ | No log | 12.6667 | 304 | 0.7428 | 0.4224 | 0.7428 | 0.8619 |
204
+ | No log | 12.75 | 306 | 0.7813 | 0.4224 | 0.7813 | 0.8839 |
205
+ | No log | 12.8333 | 308 | 0.9519 | 0.3807 | 0.9519 | 0.9756 |
206
+ | No log | 12.9167 | 310 | 1.0330 | 0.3481 | 1.0330 | 1.0163 |
207
+ | No log | 13.0 | 312 | 1.0050 | 0.3807 | 1.0050 | 1.0025 |
208
+ | No log | 13.0833 | 314 | 0.9437 | 0.3657 | 0.9437 | 0.9714 |
209
+ | No log | 13.1667 | 316 | 0.9108 | 0.3160 | 0.9108 | 0.9543 |
210
+ | No log | 13.25 | 318 | 0.9107 | 0.2810 | 0.9107 | 0.9543 |
211
+ | No log | 13.3333 | 320 | 0.9039 | 0.2308 | 0.9039 | 0.9507 |
212
+ | No log | 13.4167 | 322 | 1.0208 | 0.2756 | 1.0208 | 1.0104 |
213
+ | No log | 13.5 | 324 | 1.1725 | 0.1795 | 1.1725 | 1.0828 |
214
+ | No log | 13.5833 | 326 | 1.1779 | 0.2100 | 1.1779 | 1.0853 |
215
+ | No log | 13.6667 | 328 | 1.0673 | 0.2601 | 1.0673 | 1.0331 |
216
+ | No log | 13.75 | 330 | 0.9390 | 0.2358 | 0.9390 | 0.9690 |
217
+ | No log | 13.8333 | 332 | 0.9044 | 0.2076 | 0.9044 | 0.9510 |
218
+ | No log | 13.9167 | 334 | 0.9234 | 0.2267 | 0.9234 | 0.9609 |
219
+ | No log | 14.0 | 336 | 1.0790 | 0.3183 | 1.0790 | 1.0388 |
220
+ | No log | 14.0833 | 338 | 1.1867 | 0.2324 | 1.1867 | 1.0894 |
221
+ | No log | 14.1667 | 340 | 1.2175 | 0.2442 | 1.2175 | 1.1034 |
222
+ | No log | 14.25 | 342 | 1.1245 | 0.3003 | 1.1245 | 1.0604 |
223
+ | No log | 14.3333 | 344 | 0.9325 | 0.3183 | 0.9325 | 0.9657 |
224
+ | No log | 14.4167 | 346 | 0.7961 | 0.3238 | 0.7961 | 0.8922 |
225
+ | No log | 14.5 | 348 | 0.7679 | 0.3238 | 0.7679 | 0.8763 |
226
+ | No log | 14.5833 | 350 | 0.8179 | 0.3099 | 0.8179 | 0.9044 |
227
+ | No log | 14.6667 | 352 | 0.8598 | 0.3042 | 0.8598 | 0.9272 |
228
+ | No log | 14.75 | 354 | 0.8918 | 0.3076 | 0.8918 | 0.9443 |
229
+ | No log | 14.8333 | 356 | 0.9471 | 0.3160 | 0.9471 | 0.9732 |
230
+ | No log | 14.9167 | 358 | 0.9460 | 0.3381 | 0.9460 | 0.9726 |
231
+ | No log | 15.0 | 360 | 0.9557 | 0.3381 | 0.9557 | 0.9776 |
232
+ | No log | 15.0833 | 362 | 0.9055 | 0.3217 | 0.9055 | 0.9516 |
233
+ | No log | 15.1667 | 364 | 0.8664 | 0.2949 | 0.8664 | 0.9308 |
234
+ | No log | 15.25 | 366 | 0.8814 | 0.3869 | 0.8814 | 0.9389 |
235
+ | No log | 15.3333 | 368 | 0.9914 | 0.2677 | 0.9914 | 0.9957 |
236
+ | No log | 15.4167 | 370 | 1.0310 | 0.2252 | 1.0310 | 1.0154 |
237
+ | No log | 15.5 | 372 | 1.0052 | 0.2677 | 1.0052 | 1.0026 |
238
+ | No log | 15.5833 | 374 | 0.9410 | 0.2892 | 0.9410 | 0.9700 |
239
+ | No log | 15.6667 | 376 | 0.8445 | 0.3238 | 0.8445 | 0.9189 |
240
+ | No log | 15.75 | 378 | 0.8098 | 0.2652 | 0.8098 | 0.8999 |
241
+ | No log | 15.8333 | 380 | 0.8558 | 0.3238 | 0.8558 | 0.9251 |
242
+ | No log | 15.9167 | 382 | 0.9050 | 0.3564 | 0.9050 | 0.9513 |
243
+ | No log | 16.0 | 384 | 0.8756 | 0.3564 | 0.8756 | 0.9357 |
244
+ | No log | 16.0833 | 386 | 0.8518 | 0.3564 | 0.8518 | 0.9229 |
245
+ | No log | 16.1667 | 388 | 0.7951 | 0.4134 | 0.7951 | 0.8917 |
246
+ | No log | 16.25 | 390 | 0.8523 | 0.3494 | 0.8523 | 0.9232 |
247
+ | No log | 16.3333 | 392 | 0.9154 | 0.2892 | 0.9154 | 0.9567 |
248
+ | No log | 16.4167 | 394 | 0.8979 | 0.2892 | 0.8979 | 0.9476 |
249
+ | No log | 16.5 | 396 | 0.9634 | 0.3251 | 0.9634 | 0.9815 |
250
+ | No log | 16.5833 | 398 | 1.0536 | 0.2482 | 1.0536 | 1.0265 |
251
+ | No log | 16.6667 | 400 | 1.0188 | 0.2806 | 1.0188 | 1.0093 |
252
+ | No log | 16.75 | 402 | 0.9201 | 0.3433 | 0.9201 | 0.9592 |
253
+ | No log | 16.8333 | 404 | 0.7978 | 0.2932 | 0.7978 | 0.8932 |
254
+ | No log | 16.9167 | 406 | 0.7682 | 0.3060 | 0.7682 | 0.8764 |
255
+ | No log | 17.0 | 408 | 0.7912 | 0.2662 | 0.7912 | 0.8895 |
256
+ | No log | 17.0833 | 410 | 0.7934 | 0.2932 | 0.7934 | 0.8908 |
257
+ | No log | 17.1667 | 412 | 0.8267 | 0.3699 | 0.8267 | 0.9092 |
258
+ | No log | 17.25 | 414 | 0.8644 | 0.3256 | 0.8644 | 0.9298 |
259
+ | No log | 17.3333 | 416 | 0.8571 | 0.3319 | 0.8571 | 0.9258 |
260
+ | No log | 17.4167 | 418 | 0.7683 | 0.3238 | 0.7683 | 0.8765 |
261
+ | No log | 17.5 | 420 | 0.7623 | 0.3238 | 0.7623 | 0.8731 |
262
+ | No log | 17.5833 | 422 | 0.8324 | 0.3494 | 0.8324 | 0.9124 |
263
+ | No log | 17.6667 | 424 | 0.8927 | 0.2892 | 0.8927 | 0.9449 |
264
+ | No log | 17.75 | 426 | 1.0051 | 0.2343 | 1.0051 | 1.0025 |
265
+ | No log | 17.8333 | 428 | 1.1151 | 0.2006 | 1.1151 | 1.0560 |
266
+ | No log | 17.9167 | 430 | 1.1106 | 0.2223 | 1.1106 | 1.0539 |
267
+ | No log | 18.0 | 432 | 1.0028 | 0.3287 | 1.0028 | 1.0014 |
268
+ | No log | 18.0833 | 434 | 0.9637 | 0.2562 | 0.9637 | 0.9817 |
269
+ | No log | 18.1667 | 436 | 0.8705 | 0.3042 | 0.8705 | 0.9330 |
270
+ | No log | 18.25 | 438 | 0.7548 | 0.2754 | 0.7548 | 0.8688 |
271
+ | No log | 18.3333 | 440 | 0.7151 | 0.3196 | 0.7151 | 0.8456 |
272
+ | No log | 18.4167 | 442 | 0.7554 | 0.2995 | 0.7554 | 0.8691 |
273
+ | No log | 18.5 | 444 | 0.8869 | 0.4153 | 0.8869 | 0.9417 |
274
+ | No log | 18.5833 | 446 | 1.1093 | 0.2796 | 1.1093 | 1.0532 |
275
+ | No log | 18.6667 | 448 | 1.1685 | 0.2398 | 1.1685 | 1.0810 |
276
+ | No log | 18.75 | 450 | 1.1277 | 0.2437 | 1.1277 | 1.0619 |
277
+ | No log | 18.8333 | 452 | 0.9481 | 0.2892 | 0.9481 | 0.9737 |
278
+ | No log | 18.9167 | 454 | 0.7956 | 0.3372 | 0.7956 | 0.8920 |
279
+ | No log | 19.0 | 456 | 0.7384 | 0.2883 | 0.7384 | 0.8593 |
280
+ | No log | 19.0833 | 458 | 0.7347 | 0.3238 | 0.7347 | 0.8572 |
281
+ | No log | 19.1667 | 460 | 0.7487 | 0.3238 | 0.7487 | 0.8653 |
282
+ | No log | 19.25 | 462 | 0.7787 | 0.2817 | 0.7787 | 0.8825 |
283
+ | No log | 19.3333 | 464 | 0.8092 | 0.2817 | 0.8092 | 0.8995 |
284
+ | No log | 19.4167 | 466 | 0.8281 | 0.3450 | 0.8281 | 0.9100 |
285
+ | No log | 19.5 | 468 | 0.8159 | 0.3450 | 0.8159 | 0.9033 |
286
+ | No log | 19.5833 | 470 | 0.7851 | 0.3519 | 0.7851 | 0.8861 |
287
+ | No log | 19.6667 | 472 | 0.7382 | 0.2652 | 0.7382 | 0.8592 |
288
+ | No log | 19.75 | 474 | 0.7049 | 0.2407 | 0.7049 | 0.8396 |
289
+ | No log | 19.8333 | 476 | 0.7185 | 0.3238 | 0.7185 | 0.8476 |
290
+ | No log | 19.9167 | 478 | 0.7748 | 0.4251 | 0.7748 | 0.8802 |
291
+ | No log | 20.0 | 480 | 0.8510 | 0.3869 | 0.8510 | 0.9225 |
292
+ | No log | 20.0833 | 482 | 0.8695 | 0.3869 | 0.8695 | 0.9325 |
293
+ | No log | 20.1667 | 484 | 0.9016 | 0.3869 | 0.9016 | 0.9495 |
294
+ | No log | 20.25 | 486 | 0.8646 | 0.4251 | 0.8646 | 0.9298 |
295
+ | No log | 20.3333 | 488 | 0.8056 | 0.4491 | 0.8056 | 0.8976 |
296
+ | No log | 20.4167 | 490 | 0.7631 | 0.2950 | 0.7631 | 0.8735 |
297
+ | No log | 20.5 | 492 | 0.7880 | 0.2950 | 0.7880 | 0.8877 |
298
+ | No log | 20.5833 | 494 | 0.8634 | 0.3637 | 0.8634 | 0.9292 |
299
+ | No log | 20.6667 | 496 | 0.9521 | 0.4085 | 0.9521 | 0.9758 |
300
+ | No log | 20.75 | 498 | 1.0831 | 0.3099 | 1.0831 | 1.0407 |
301
+ | 0.3141 | 20.8333 | 500 | 1.0813 | 0.3223 | 1.0813 | 1.0399 |
302
+ | 0.3141 | 20.9167 | 502 | 0.9614 | 0.4085 | 0.9614 | 0.9805 |
303
+ | 0.3141 | 21.0 | 504 | 0.8314 | 0.3894 | 0.8314 | 0.9118 |
304
+ | 0.3141 | 21.0833 | 506 | 0.7886 | 0.3637 | 0.7886 | 0.8880 |
305
+ | 0.3141 | 21.1667 | 508 | 0.7623 | 0.3637 | 0.7623 | 0.8731 |
306
+ | 0.3141 | 21.25 | 510 | 0.7681 | 0.3637 | 0.7681 | 0.8764 |
307
+ | 0.3141 | 21.3333 | 512 | 0.7924 | 0.3894 | 0.7924 | 0.8902 |
308
+ | 0.3141 | 21.4167 | 514 | 0.8642 | 0.4275 | 0.8642 | 0.9296 |
309
+ | 0.3141 | 21.5 | 516 | 0.8800 | 0.4275 | 0.8800 | 0.9381 |
310
+ | 0.3141 | 21.5833 | 518 | 0.8248 | 0.4014 | 0.8248 | 0.9082 |
311
+ | 0.3141 | 21.6667 | 520 | 0.8240 | 0.3894 | 0.8240 | 0.9078 |
312
+ | 0.3141 | 21.75 | 522 | 0.8732 | 0.4387 | 0.8732 | 0.9344 |
313
+ | 0.3141 | 21.8333 | 524 | 0.9446 | 0.3731 | 0.9446 | 0.9719 |
314
+ | 0.3141 | 21.9167 | 526 | 0.9944 | 0.3499 | 0.9944 | 0.9972 |
315
+ | 0.3141 | 22.0 | 528 | 0.9656 | 0.3799 | 0.9656 | 0.9827 |
316
+ | 0.3141 | 22.0833 | 530 | 0.8753 | 0.3894 | 0.8753 | 0.9356 |
317
+ | 0.3141 | 22.1667 | 532 | 0.7228 | 0.2407 | 0.7228 | 0.8502 |
318
+ | 0.3141 | 22.25 | 534 | 0.6559 | 0.2379 | 0.6559 | 0.8099 |
319
+ | 0.3141 | 22.3333 | 536 | 0.6613 | 0.2407 | 0.6613 | 0.8132 |
320
+ | 0.3141 | 22.4167 | 538 | 0.7314 | 0.2407 | 0.7314 | 0.8552 |
321
+ | 0.3141 | 22.5 | 540 | 0.8901 | 0.3450 | 0.8901 | 0.9434 |
322
+ | 0.3141 | 22.5833 | 542 | 0.9940 | 0.3560 | 0.9940 | 0.9970 |
323
+ | 0.3141 | 22.6667 | 544 | 1.0104 | 0.3433 | 1.0104 | 1.0052 |
324
+ | 0.3141 | 22.75 | 546 | 0.9452 | 0.3433 | 0.9452 | 0.9722 |
325
+ | 0.3141 | 22.8333 | 548 | 0.8650 | 0.4470 | 0.8650 | 0.9300 |
326
+ | 0.3141 | 22.9167 | 550 | 0.8128 | 0.2527 | 0.8128 | 0.9015 |
327
+ | 0.3141 | 23.0 | 552 | 0.7887 | 0.2652 | 0.7887 | 0.8881 |
328
+ | 0.3141 | 23.0833 | 554 | 0.7865 | 0.2652 | 0.7865 | 0.8869 |
329
+ | 0.3141 | 23.1667 | 556 | 0.7931 | 0.2652 | 0.7931 | 0.8906 |
330
+ | 0.3141 | 23.25 | 558 | 0.8295 | 0.2527 | 0.8295 | 0.9108 |
331
+
332
+
333
+ ### Framework versions
334
+
335
+ - Transformers 4.44.2
336
+ - Pytorch 2.4.0+cu118
337
+ - Datasets 2.21.0
338
+ - 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 sha256:6ef7009f49b03bcc0ae6308b718299fcd83ac1ede8f37cdf961fed107af26eaa
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50b6ff3e35eebb15904809f01168819db3abf4b4e1318d3a9820e62059a10ca8
3
+ size 5368