MayBashendy commited on
Commit
f9917de
·
verified ·
1 Parent(s): cd7b0a3

Training in progress, step 500

Browse files
Files changed (4) hide show
  1. README.md +326 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,326 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: aubmindlab/bert-base-arabertv02
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_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_FineTuningAraBERT_run3_AugV5_k14_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: 0.4929
19
+ - Qwk: 0.4847
20
+ - Mse: 0.4929
21
+ - Rmse: 0.7021
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 | 0.0556 | 2 | 2.5519 | -0.1213 | 2.5519 | 1.5975 |
53
+ | No log | 0.1111 | 4 | 1.3000 | 0.0412 | 1.3000 | 1.1402 |
54
+ | No log | 0.1667 | 6 | 1.1046 | 0.0476 | 1.1046 | 1.0510 |
55
+ | No log | 0.2222 | 8 | 0.8966 | 0.0408 | 0.8966 | 0.9469 |
56
+ | No log | 0.2778 | 10 | 0.8234 | 0.1093 | 0.8234 | 0.9074 |
57
+ | No log | 0.3333 | 12 | 0.9243 | 0.0058 | 0.9243 | 0.9614 |
58
+ | No log | 0.3889 | 14 | 0.9262 | 0.0478 | 0.9262 | 0.9624 |
59
+ | No log | 0.4444 | 16 | 0.8842 | 0.0717 | 0.8842 | 0.9403 |
60
+ | No log | 0.5 | 18 | 0.8177 | 0.0643 | 0.8177 | 0.9043 |
61
+ | No log | 0.5556 | 20 | 0.7688 | 0.1187 | 0.7688 | 0.8768 |
62
+ | No log | 0.6111 | 22 | 0.7551 | 0.0428 | 0.7551 | 0.8690 |
63
+ | No log | 0.6667 | 24 | 0.7611 | 0.0428 | 0.7611 | 0.8724 |
64
+ | No log | 0.7222 | 26 | 0.7364 | 0.0840 | 0.7364 | 0.8581 |
65
+ | No log | 0.7778 | 28 | 0.7772 | 0.2883 | 0.7772 | 0.8816 |
66
+ | No log | 0.8333 | 30 | 0.8088 | 0.3105 | 0.8088 | 0.8993 |
67
+ | No log | 0.8889 | 32 | 0.7655 | 0.2692 | 0.7655 | 0.8749 |
68
+ | No log | 0.9444 | 34 | 0.7013 | 0.3575 | 0.7013 | 0.8374 |
69
+ | No log | 1.0 | 36 | 0.7439 | 0.2317 | 0.7439 | 0.8625 |
70
+ | No log | 1.0556 | 38 | 0.7078 | 0.2783 | 0.7078 | 0.8413 |
71
+ | No log | 1.1111 | 40 | 0.7391 | 0.3637 | 0.7391 | 0.8597 |
72
+ | No log | 1.1667 | 42 | 0.8616 | 0.2843 | 0.8616 | 0.9282 |
73
+ | No log | 1.2222 | 44 | 0.8755 | 0.1962 | 0.8755 | 0.9357 |
74
+ | No log | 1.2778 | 46 | 0.8959 | 0.2923 | 0.8959 | 0.9465 |
75
+ | No log | 1.3333 | 48 | 0.8697 | 0.3425 | 0.8697 | 0.9326 |
76
+ | No log | 1.3889 | 50 | 0.7804 | 0.3238 | 0.7804 | 0.8834 |
77
+ | No log | 1.4444 | 52 | 0.7288 | 0.2285 | 0.7288 | 0.8537 |
78
+ | No log | 1.5 | 54 | 0.6840 | 0.2718 | 0.6840 | 0.8270 |
79
+ | No log | 1.5556 | 56 | 0.6796 | 0.2652 | 0.6796 | 0.8244 |
80
+ | No log | 1.6111 | 58 | 0.6982 | 0.2227 | 0.6982 | 0.8356 |
81
+ | No log | 1.6667 | 60 | 0.7411 | 0.2527 | 0.7411 | 0.8608 |
82
+ | No log | 1.7222 | 62 | 0.7601 | 0.2817 | 0.7601 | 0.8718 |
83
+ | No log | 1.7778 | 64 | 0.7568 | 0.2817 | 0.7568 | 0.8699 |
84
+ | No log | 1.8333 | 66 | 0.8656 | 0.2615 | 0.8656 | 0.9304 |
85
+ | No log | 1.8889 | 68 | 0.8814 | 0.2615 | 0.8814 | 0.9388 |
86
+ | No log | 1.9444 | 70 | 0.8785 | 0.2995 | 0.8785 | 0.9373 |
87
+ | No log | 2.0 | 72 | 0.7780 | 0.1866 | 0.7780 | 0.8820 |
88
+ | No log | 2.0556 | 74 | 0.7609 | 0.2171 | 0.7609 | 0.8723 |
89
+ | No log | 2.1111 | 76 | 0.7895 | 0.2518 | 0.7895 | 0.8886 |
90
+ | No log | 2.1667 | 78 | 0.7907 | 0.3231 | 0.7907 | 0.8892 |
91
+ | No log | 2.2222 | 80 | 0.7271 | 0.1962 | 0.7271 | 0.8527 |
92
+ | No log | 2.2778 | 82 | 0.7466 | 0.3069 | 0.7466 | 0.8641 |
93
+ | No log | 2.3333 | 84 | 0.6717 | 0.3399 | 0.6717 | 0.8196 |
94
+ | No log | 2.3889 | 86 | 0.6348 | 0.3426 | 0.6348 | 0.7967 |
95
+ | No log | 2.4444 | 88 | 0.6295 | 0.4068 | 0.6295 | 0.7934 |
96
+ | No log | 2.5 | 90 | 0.6110 | 0.4068 | 0.6110 | 0.7817 |
97
+ | No log | 2.5556 | 92 | 0.6533 | 0.3919 | 0.6533 | 0.8083 |
98
+ | No log | 2.6111 | 94 | 0.6640 | 0.4437 | 0.6640 | 0.8149 |
99
+ | No log | 2.6667 | 96 | 0.6156 | 0.3523 | 0.6156 | 0.7846 |
100
+ | No log | 2.7222 | 98 | 0.6404 | 0.3728 | 0.6404 | 0.8003 |
101
+ | No log | 2.7778 | 100 | 0.8311 | 0.2467 | 0.8311 | 0.9116 |
102
+ | No log | 2.8333 | 102 | 0.7053 | 0.3224 | 0.7053 | 0.8398 |
103
+ | No log | 2.8889 | 104 | 0.6530 | 0.2218 | 0.6530 | 0.8081 |
104
+ | No log | 2.9444 | 106 | 0.6970 | 0.2193 | 0.6970 | 0.8348 |
105
+ | No log | 3.0 | 108 | 0.9156 | 0.1672 | 0.9156 | 0.9569 |
106
+ | No log | 3.0556 | 110 | 0.8569 | 0.2443 | 0.8569 | 0.9257 |
107
+ | No log | 3.1111 | 112 | 0.5991 | 0.4618 | 0.5991 | 0.7740 |
108
+ | No log | 3.1667 | 114 | 0.5557 | 0.5266 | 0.5557 | 0.7454 |
109
+ | No log | 3.2222 | 116 | 0.5431 | 0.5248 | 0.5431 | 0.7370 |
110
+ | No log | 3.2778 | 118 | 0.5384 | 0.4829 | 0.5384 | 0.7338 |
111
+ | No log | 3.3333 | 120 | 0.5472 | 0.4595 | 0.5472 | 0.7397 |
112
+ | No log | 3.3889 | 122 | 0.5403 | 0.4555 | 0.5403 | 0.7350 |
113
+ | No log | 3.4444 | 124 | 0.5466 | 0.5430 | 0.5466 | 0.7393 |
114
+ | No log | 3.5 | 126 | 0.6177 | 0.4704 | 0.6177 | 0.7859 |
115
+ | No log | 3.5556 | 128 | 0.8762 | 0.3044 | 0.8762 | 0.9361 |
116
+ | No log | 3.6111 | 130 | 1.1158 | 0.1967 | 1.1158 | 1.0563 |
117
+ | No log | 3.6667 | 132 | 0.9341 | 0.2988 | 0.9341 | 0.9665 |
118
+ | No log | 3.7222 | 134 | 0.5717 | 0.5022 | 0.5717 | 0.7561 |
119
+ | No log | 3.7778 | 136 | 0.5997 | 0.4171 | 0.5997 | 0.7744 |
120
+ | No log | 3.8333 | 138 | 0.5736 | 0.4990 | 0.5736 | 0.7574 |
121
+ | No log | 3.8889 | 140 | 0.6469 | 0.4100 | 0.6469 | 0.8043 |
122
+ | No log | 3.9444 | 142 | 0.7402 | 0.3653 | 0.7402 | 0.8604 |
123
+ | No log | 4.0 | 144 | 0.6150 | 0.3894 | 0.6150 | 0.7842 |
124
+ | No log | 4.0556 | 146 | 0.5404 | 0.5521 | 0.5404 | 0.7351 |
125
+ | No log | 4.1111 | 148 | 0.5489 | 0.5404 | 0.5489 | 0.7409 |
126
+ | No log | 4.1667 | 150 | 0.5399 | 0.5326 | 0.5399 | 0.7347 |
127
+ | No log | 4.2222 | 152 | 0.5423 | 0.5095 | 0.5423 | 0.7364 |
128
+ | No log | 4.2778 | 154 | 0.5221 | 0.4788 | 0.5221 | 0.7226 |
129
+ | No log | 4.3333 | 156 | 0.5160 | 0.5714 | 0.5160 | 0.7184 |
130
+ | No log | 4.3889 | 158 | 0.5097 | 0.5798 | 0.5097 | 0.7140 |
131
+ | No log | 4.4444 | 160 | 0.4981 | 0.6154 | 0.4981 | 0.7057 |
132
+ | No log | 4.5 | 162 | 0.5262 | 0.4858 | 0.5262 | 0.7254 |
133
+ | No log | 4.5556 | 164 | 0.5771 | 0.4971 | 0.5771 | 0.7597 |
134
+ | No log | 4.6111 | 166 | 0.5111 | 0.5267 | 0.5111 | 0.7149 |
135
+ | No log | 4.6667 | 168 | 0.4911 | 0.5812 | 0.4911 | 0.7008 |
136
+ | No log | 4.7222 | 170 | 0.5096 | 0.6634 | 0.5096 | 0.7138 |
137
+ | No log | 4.7778 | 172 | 0.5105 | 0.5782 | 0.5105 | 0.7145 |
138
+ | No log | 4.8333 | 174 | 0.5258 | 0.5286 | 0.5258 | 0.7251 |
139
+ | No log | 4.8889 | 176 | 0.5373 | 0.5352 | 0.5373 | 0.7330 |
140
+ | No log | 4.9444 | 178 | 0.5428 | 0.6009 | 0.5428 | 0.7367 |
141
+ | No log | 5.0 | 180 | 0.6498 | 0.6016 | 0.6498 | 0.8061 |
142
+ | No log | 5.0556 | 182 | 0.5940 | 0.5668 | 0.5940 | 0.7707 |
143
+ | No log | 5.1111 | 184 | 0.5362 | 0.5860 | 0.5362 | 0.7322 |
144
+ | No log | 5.1667 | 186 | 0.5520 | 0.4942 | 0.5520 | 0.7429 |
145
+ | No log | 5.2222 | 188 | 0.5340 | 0.5860 | 0.5340 | 0.7307 |
146
+ | No log | 5.2778 | 190 | 0.6863 | 0.4072 | 0.6863 | 0.8285 |
147
+ | No log | 5.3333 | 192 | 0.7453 | 0.3699 | 0.7453 | 0.8633 |
148
+ | No log | 5.3889 | 194 | 0.6728 | 0.3590 | 0.6728 | 0.8202 |
149
+ | No log | 5.4444 | 196 | 0.6384 | 0.3996 | 0.6384 | 0.7990 |
150
+ | No log | 5.5 | 198 | 0.5975 | 0.4270 | 0.5975 | 0.7730 |
151
+ | No log | 5.5556 | 200 | 0.5908 | 0.4835 | 0.5908 | 0.7687 |
152
+ | No log | 5.6111 | 202 | 0.7368 | 0.4251 | 0.7368 | 0.8583 |
153
+ | No log | 5.6667 | 204 | 0.7528 | 0.4180 | 0.7528 | 0.8677 |
154
+ | No log | 5.7222 | 206 | 0.7578 | 0.4114 | 0.7578 | 0.8705 |
155
+ | No log | 5.7778 | 208 | 0.5757 | 0.4911 | 0.5757 | 0.7588 |
156
+ | No log | 5.8333 | 210 | 0.4877 | 0.5533 | 0.4877 | 0.6983 |
157
+ | No log | 5.8889 | 212 | 0.4803 | 0.5941 | 0.4803 | 0.6931 |
158
+ | No log | 5.9444 | 214 | 0.4784 | 0.5609 | 0.4784 | 0.6917 |
159
+ | No log | 6.0 | 216 | 0.5447 | 0.4576 | 0.5447 | 0.7380 |
160
+ | No log | 6.0556 | 218 | 0.5705 | 0.4576 | 0.5705 | 0.7553 |
161
+ | No log | 6.1111 | 220 | 0.4956 | 0.5736 | 0.4956 | 0.7040 |
162
+ | No log | 6.1667 | 222 | 0.4721 | 0.6129 | 0.4721 | 0.6871 |
163
+ | No log | 6.2222 | 224 | 0.4621 | 0.6254 | 0.4621 | 0.6798 |
164
+ | No log | 6.2778 | 226 | 0.4679 | 0.5980 | 0.4679 | 0.6840 |
165
+ | No log | 6.3333 | 228 | 0.4502 | 0.6254 | 0.4502 | 0.6710 |
166
+ | No log | 6.3889 | 230 | 0.4482 | 0.6254 | 0.4482 | 0.6695 |
167
+ | No log | 6.4444 | 232 | 0.4658 | 0.6346 | 0.4658 | 0.6825 |
168
+ | No log | 6.5 | 234 | 0.4665 | 0.6443 | 0.4665 | 0.6830 |
169
+ | No log | 6.5556 | 236 | 0.5344 | 0.5787 | 0.5344 | 0.7311 |
170
+ | No log | 6.6111 | 238 | 0.6781 | 0.4805 | 0.6781 | 0.8235 |
171
+ | No log | 6.6667 | 240 | 0.6973 | 0.4801 | 0.6973 | 0.8350 |
172
+ | No log | 6.7222 | 242 | 0.5906 | 0.4997 | 0.5906 | 0.7685 |
173
+ | No log | 6.7778 | 244 | 0.6019 | 0.4905 | 0.6019 | 0.7758 |
174
+ | No log | 6.8333 | 246 | 0.6567 | 0.4491 | 0.6567 | 0.8104 |
175
+ | No log | 6.8889 | 248 | 0.5952 | 0.4997 | 0.5952 | 0.7715 |
176
+ | No log | 6.9444 | 250 | 0.5464 | 0.4229 | 0.5464 | 0.7392 |
177
+ | No log | 7.0 | 252 | 0.5333 | 0.4217 | 0.5333 | 0.7303 |
178
+ | No log | 7.0556 | 254 | 0.5343 | 0.4338 | 0.5343 | 0.7310 |
179
+ | No log | 7.1111 | 256 | 0.5963 | 0.5017 | 0.5963 | 0.7722 |
180
+ | No log | 7.1667 | 258 | 0.6373 | 0.4330 | 0.6373 | 0.7983 |
181
+ | No log | 7.2222 | 260 | 0.5698 | 0.4614 | 0.5698 | 0.7549 |
182
+ | No log | 7.2778 | 262 | 0.5390 | 0.4378 | 0.5390 | 0.7341 |
183
+ | No log | 7.3333 | 264 | 0.5275 | 0.4752 | 0.5275 | 0.7263 |
184
+ | No log | 7.3889 | 266 | 0.5702 | 0.5639 | 0.5702 | 0.7551 |
185
+ | No log | 7.4444 | 268 | 0.6010 | 0.5544 | 0.6010 | 0.7753 |
186
+ | No log | 7.5 | 270 | 0.5426 | 0.5597 | 0.5426 | 0.7366 |
187
+ | No log | 7.5556 | 272 | 0.5020 | 0.5584 | 0.5020 | 0.7085 |
188
+ | No log | 7.6111 | 274 | 0.5021 | 0.5305 | 0.5021 | 0.7086 |
189
+ | No log | 7.6667 | 276 | 0.5077 | 0.4402 | 0.5077 | 0.7125 |
190
+ | No log | 7.7222 | 278 | 0.5115 | 0.5151 | 0.5115 | 0.7152 |
191
+ | No log | 7.7778 | 280 | 0.5069 | 0.4898 | 0.5069 | 0.7120 |
192
+ | No log | 7.8333 | 282 | 0.5029 | 0.5339 | 0.5029 | 0.7091 |
193
+ | No log | 7.8889 | 284 | 0.4869 | 0.6317 | 0.4869 | 0.6977 |
194
+ | No log | 7.9444 | 286 | 0.6217 | 0.5026 | 0.6217 | 0.7885 |
195
+ | No log | 8.0 | 288 | 0.7558 | 0.3963 | 0.7558 | 0.8694 |
196
+ | No log | 8.0556 | 290 | 0.6495 | 0.4349 | 0.6495 | 0.8059 |
197
+ | No log | 8.1111 | 292 | 0.4947 | 0.5715 | 0.4947 | 0.7034 |
198
+ | No log | 8.1667 | 294 | 0.4724 | 0.5714 | 0.4724 | 0.6873 |
199
+ | No log | 8.2222 | 296 | 0.4683 | 0.5960 | 0.4683 | 0.6843 |
200
+ | No log | 8.2778 | 298 | 0.5004 | 0.5309 | 0.5004 | 0.7074 |
201
+ | No log | 8.3333 | 300 | 0.4768 | 0.6037 | 0.4768 | 0.6905 |
202
+ | No log | 8.3889 | 302 | 0.4831 | 0.5485 | 0.4831 | 0.6951 |
203
+ | No log | 8.4444 | 304 | 0.5606 | 0.5252 | 0.5606 | 0.7487 |
204
+ | No log | 8.5 | 306 | 0.6434 | 0.4728 | 0.6434 | 0.8021 |
205
+ | No log | 8.5556 | 308 | 0.7144 | 0.4648 | 0.7144 | 0.8452 |
206
+ | No log | 8.6111 | 310 | 0.7184 | 0.4721 | 0.7184 | 0.8476 |
207
+ | No log | 8.6667 | 312 | 0.5966 | 0.4916 | 0.5966 | 0.7724 |
208
+ | No log | 8.7222 | 314 | 0.5623 | 0.5723 | 0.5623 | 0.7499 |
209
+ | No log | 8.7778 | 316 | 0.6113 | 0.5140 | 0.6113 | 0.7818 |
210
+ | No log | 8.8333 | 318 | 0.7170 | 0.5665 | 0.7170 | 0.8467 |
211
+ | No log | 8.8889 | 320 | 0.6600 | 0.5594 | 0.6600 | 0.8124 |
212
+ | No log | 8.9444 | 322 | 0.5506 | 0.5692 | 0.5506 | 0.7420 |
213
+ | No log | 9.0 | 324 | 0.4969 | 0.5095 | 0.4969 | 0.7049 |
214
+ | No log | 9.0556 | 326 | 0.4816 | 0.5672 | 0.4816 | 0.6939 |
215
+ | No log | 9.1111 | 328 | 0.4765 | 0.5114 | 0.4765 | 0.6903 |
216
+ | No log | 9.1667 | 330 | 0.5160 | 0.4795 | 0.5160 | 0.7183 |
217
+ | No log | 9.2222 | 332 | 0.5463 | 0.5367 | 0.5463 | 0.7391 |
218
+ | No log | 9.2778 | 334 | 0.5030 | 0.4206 | 0.5030 | 0.7092 |
219
+ | No log | 9.3333 | 336 | 0.4945 | 0.5304 | 0.4945 | 0.7032 |
220
+ | No log | 9.3889 | 338 | 0.5324 | 0.5603 | 0.5324 | 0.7296 |
221
+ | No log | 9.4444 | 340 | 0.5207 | 0.5304 | 0.5207 | 0.7216 |
222
+ | No log | 9.5 | 342 | 0.5168 | 0.5095 | 0.5168 | 0.7189 |
223
+ | No log | 9.5556 | 344 | 0.5383 | 0.3919 | 0.5383 | 0.7337 |
224
+ | No log | 9.6111 | 346 | 0.5499 | 0.3919 | 0.5499 | 0.7415 |
225
+ | No log | 9.6667 | 348 | 0.5320 | 0.4001 | 0.5320 | 0.7294 |
226
+ | No log | 9.7222 | 350 | 0.5213 | 0.4378 | 0.5213 | 0.7220 |
227
+ | No log | 9.7778 | 352 | 0.5060 | 0.4929 | 0.5060 | 0.7113 |
228
+ | No log | 9.8333 | 354 | 0.4964 | 0.5114 | 0.4964 | 0.7045 |
229
+ | No log | 9.8889 | 356 | 0.5246 | 0.4397 | 0.5246 | 0.7243 |
230
+ | No log | 9.9444 | 358 | 0.5884 | 0.5622 | 0.5884 | 0.7671 |
231
+ | No log | 10.0 | 360 | 0.5373 | 0.5404 | 0.5373 | 0.7330 |
232
+ | No log | 10.0556 | 362 | 0.5039 | 0.5557 | 0.5039 | 0.7099 |
233
+ | No log | 10.1111 | 364 | 0.5041 | 0.5353 | 0.5041 | 0.7100 |
234
+ | No log | 10.1667 | 366 | 0.4941 | 0.4919 | 0.4941 | 0.7030 |
235
+ | No log | 10.2222 | 368 | 0.5046 | 0.4808 | 0.5046 | 0.7103 |
236
+ | No log | 10.2778 | 370 | 0.5106 | 0.3919 | 0.5106 | 0.7146 |
237
+ | No log | 10.3333 | 372 | 0.4998 | 0.5101 | 0.4998 | 0.7070 |
238
+ | No log | 10.3889 | 374 | 0.4904 | 0.5286 | 0.4904 | 0.7003 |
239
+ | No log | 10.4444 | 376 | 0.4835 | 0.4970 | 0.4835 | 0.6954 |
240
+ | No log | 10.5 | 378 | 0.4807 | 0.5731 | 0.4807 | 0.6933 |
241
+ | No log | 10.5556 | 380 | 0.4682 | 0.5044 | 0.4682 | 0.6842 |
242
+ | No log | 10.6111 | 382 | 0.4910 | 0.4482 | 0.4910 | 0.7007 |
243
+ | No log | 10.6667 | 384 | 0.5073 | 0.3919 | 0.5073 | 0.7123 |
244
+ | No log | 10.7222 | 386 | 0.4763 | 0.5101 | 0.4763 | 0.6901 |
245
+ | No log | 10.7778 | 388 | 0.4824 | 0.5305 | 0.4824 | 0.6945 |
246
+ | No log | 10.8333 | 390 | 0.5022 | 0.5162 | 0.5022 | 0.7087 |
247
+ | No log | 10.8889 | 392 | 0.5045 | 0.4774 | 0.5045 | 0.7103 |
248
+ | No log | 10.9444 | 394 | 0.5047 | 0.3809 | 0.5047 | 0.7104 |
249
+ | No log | 11.0 | 396 | 0.5445 | 0.3919 | 0.5445 | 0.7379 |
250
+ | No log | 11.0556 | 398 | 0.6054 | 0.4513 | 0.6054 | 0.7781 |
251
+ | No log | 11.1111 | 400 | 0.6025 | 0.4513 | 0.6025 | 0.7762 |
252
+ | No log | 11.1667 | 402 | 0.5949 | 0.4270 | 0.5949 | 0.7713 |
253
+ | No log | 11.2222 | 404 | 0.5808 | 0.4270 | 0.5808 | 0.7621 |
254
+ | No log | 11.2778 | 406 | 0.5662 | 0.3622 | 0.5662 | 0.7525 |
255
+ | No log | 11.3333 | 408 | 0.5556 | 0.3782 | 0.5556 | 0.7454 |
256
+ | No log | 11.3889 | 410 | 0.5749 | 0.3782 | 0.5749 | 0.7582 |
257
+ | No log | 11.4444 | 412 | 0.6269 | 0.4414 | 0.6269 | 0.7918 |
258
+ | No log | 11.5 | 414 | 0.7474 | 0.3359 | 0.7474 | 0.8645 |
259
+ | No log | 11.5556 | 416 | 0.7862 | 0.3294 | 0.7862 | 0.8867 |
260
+ | No log | 11.6111 | 418 | 0.6937 | 0.3770 | 0.6937 | 0.8329 |
261
+ | No log | 11.6667 | 420 | 0.5941 | 0.3622 | 0.5941 | 0.7708 |
262
+ | No log | 11.7222 | 422 | 0.5756 | 0.4086 | 0.5756 | 0.7587 |
263
+ | No log | 11.7778 | 424 | 0.6105 | 0.4375 | 0.6105 | 0.7813 |
264
+ | No log | 11.8333 | 426 | 0.6845 | 0.4835 | 0.6845 | 0.8273 |
265
+ | No log | 11.8889 | 428 | 0.7120 | 0.3586 | 0.7120 | 0.8438 |
266
+ | No log | 11.9444 | 430 | 0.6172 | 0.4375 | 0.6172 | 0.7856 |
267
+ | No log | 12.0 | 432 | 0.5504 | 0.4659 | 0.5504 | 0.7419 |
268
+ | No log | 12.0556 | 434 | 0.5561 | 0.4681 | 0.5561 | 0.7457 |
269
+ | No log | 12.1111 | 436 | 0.5520 | 0.4538 | 0.5520 | 0.7429 |
270
+ | No log | 12.1667 | 438 | 0.6122 | 0.3701 | 0.6122 | 0.7825 |
271
+ | No log | 12.2222 | 440 | 0.8007 | 0.3665 | 0.8007 | 0.8948 |
272
+ | No log | 12.2778 | 442 | 0.9434 | 0.3697 | 0.9434 | 0.9713 |
273
+ | No log | 12.3333 | 444 | 0.8034 | 0.3731 | 0.8034 | 0.8964 |
274
+ | No log | 12.3889 | 446 | 0.6127 | 0.4352 | 0.6127 | 0.7828 |
275
+ | No log | 12.4444 | 448 | 0.5406 | 0.4972 | 0.5406 | 0.7353 |
276
+ | No log | 12.5 | 450 | 0.5655 | 0.5587 | 0.5655 | 0.7520 |
277
+ | No log | 12.5556 | 452 | 0.5482 | 0.5493 | 0.5482 | 0.7404 |
278
+ | No log | 12.6111 | 454 | 0.5526 | 0.4314 | 0.5526 | 0.7434 |
279
+ | No log | 12.6667 | 456 | 0.6040 | 0.4774 | 0.6040 | 0.7772 |
280
+ | No log | 12.7222 | 458 | 0.6165 | 0.4502 | 0.6165 | 0.7852 |
281
+ | No log | 12.7778 | 460 | 0.5702 | 0.4524 | 0.5702 | 0.7551 |
282
+ | No log | 12.8333 | 462 | 0.5295 | 0.4659 | 0.5295 | 0.7277 |
283
+ | No log | 12.8889 | 464 | 0.5263 | 0.5305 | 0.5263 | 0.7255 |
284
+ | No log | 12.9444 | 466 | 0.5218 | 0.5114 | 0.5218 | 0.7223 |
285
+ | No log | 13.0 | 468 | 0.5320 | 0.4837 | 0.5320 | 0.7294 |
286
+ | No log | 13.0556 | 470 | 0.6141 | 0.4997 | 0.6141 | 0.7837 |
287
+ | No log | 13.1111 | 472 | 0.6822 | 0.4949 | 0.6822 | 0.8259 |
288
+ | No log | 13.1667 | 474 | 0.6493 | 0.5455 | 0.6493 | 0.8058 |
289
+ | No log | 13.2222 | 476 | 0.5540 | 0.5195 | 0.5540 | 0.7443 |
290
+ | No log | 13.2778 | 478 | 0.5218 | 0.5022 | 0.5218 | 0.7224 |
291
+ | No log | 13.3333 | 480 | 0.5316 | 0.4795 | 0.5316 | 0.7291 |
292
+ | No log | 13.3889 | 482 | 0.5295 | 0.4795 | 0.5295 | 0.7277 |
293
+ | No log | 13.4444 | 484 | 0.5296 | 0.4378 | 0.5296 | 0.7277 |
294
+ | No log | 13.5 | 486 | 0.5225 | 0.4591 | 0.5225 | 0.7229 |
295
+ | No log | 13.5556 | 488 | 0.5174 | 0.4659 | 0.5174 | 0.7193 |
296
+ | No log | 13.6111 | 490 | 0.5198 | 0.4378 | 0.5198 | 0.7210 |
297
+ | No log | 13.6667 | 492 | 0.5778 | 0.4100 | 0.5778 | 0.7602 |
298
+ | No log | 13.7222 | 494 | 0.6460 | 0.4911 | 0.6460 | 0.8038 |
299
+ | No log | 13.7778 | 496 | 0.6805 | 0.4444 | 0.6805 | 0.8250 |
300
+ | No log | 13.8333 | 498 | 0.6568 | 0.4684 | 0.6568 | 0.8104 |
301
+ | 0.3227 | 13.8889 | 500 | 0.5390 | 0.5195 | 0.5390 | 0.7342 |
302
+ | 0.3227 | 13.9444 | 502 | 0.4918 | 0.5422 | 0.4918 | 0.7013 |
303
+ | 0.3227 | 14.0 | 504 | 0.4744 | 0.5457 | 0.4744 | 0.6888 |
304
+ | 0.3227 | 14.0556 | 506 | 0.4768 | 0.5457 | 0.4768 | 0.6905 |
305
+ | 0.3227 | 14.1111 | 508 | 0.4887 | 0.5422 | 0.4887 | 0.6990 |
306
+ | 0.3227 | 14.1667 | 510 | 0.5270 | 0.5104 | 0.5270 | 0.7259 |
307
+ | 0.3227 | 14.2222 | 512 | 0.5589 | 0.4597 | 0.5589 | 0.7476 |
308
+ | 0.3227 | 14.2778 | 514 | 0.5538 | 0.4597 | 0.5538 | 0.7442 |
309
+ | 0.3227 | 14.3333 | 516 | 0.5305 | 0.5104 | 0.5305 | 0.7283 |
310
+ | 0.3227 | 14.3889 | 518 | 0.4958 | 0.6115 | 0.4958 | 0.7042 |
311
+ | 0.3227 | 14.4444 | 520 | 0.4664 | 0.5846 | 0.4664 | 0.6829 |
312
+ | 0.3227 | 14.5 | 522 | 0.4645 | 0.5510 | 0.4645 | 0.6815 |
313
+ | 0.3227 | 14.5556 | 524 | 0.4730 | 0.5457 | 0.4730 | 0.6878 |
314
+ | 0.3227 | 14.6111 | 526 | 0.5468 | 0.4774 | 0.5468 | 0.7395 |
315
+ | 0.3227 | 14.6667 | 528 | 0.6056 | 0.4749 | 0.6056 | 0.7782 |
316
+ | 0.3227 | 14.7222 | 530 | 0.5771 | 0.4835 | 0.5771 | 0.7597 |
317
+ | 0.3227 | 14.7778 | 532 | 0.5175 | 0.4614 | 0.5175 | 0.7194 |
318
+ | 0.3227 | 14.8333 | 534 | 0.4929 | 0.4847 | 0.4929 | 0.7021 |
319
+
320
+
321
+ ### Framework versions
322
+
323
+ - Transformers 4.44.2
324
+ - Pytorch 2.4.0+cu118
325
+ - Datasets 2.21.0
326
+ - 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 sha256:33d6427ed95ee859345fcbda81d09fb9adae75cf6e02e1d81f6143b3d988322e
3
+ size 540799996
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a15d4da3d4abd89c8abc46cb7f04cd2cc41f7ee5e821eb3520432a82e1ccc7fa
3
+ size 5240