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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: roberta-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: BERiT_2000_custom_architecture_150_epochs_2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # BERiT_2000_custom_architecture_150_epochs_2
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.7086
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 150
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:--------:|:------:|:---------------:|
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+ | 6.8868 | 0.1936 | 500 | 6.7070 |
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+ | 6.6448 | 0.3873 | 1000 | 6.5616 |
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+ | 6.5323 | 0.5809 | 1500 | 6.4429 |
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+ | 6.4701 | 0.7746 | 2000 | 6.3770 |
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+ | 6.3883 | 0.9682 | 2500 | 6.3049 |
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+ | 6.3555 | 1.1619 | 3000 | 6.2705 |
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+ | 6.3077 | 1.3555 | 3500 | 6.2761 |
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+ | 6.3386 | 1.5492 | 4000 | 6.2023 |
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+ | 6.2871 | 1.7428 | 4500 | 6.2713 |
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+ | 6.2897 | 1.9365 | 5000 | 6.2780 |
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+ | 6.2832 | 2.1301 | 5500 | 6.2535 |
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+ | 6.2552 | 2.3238 | 6000 | 6.3123 |
62
+ | 6.2995 | 2.5174 | 6500 | 6.2744 |
63
+ | 6.2368 | 2.7111 | 7000 | 6.2724 |
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+ | 6.2639 | 2.9047 | 7500 | 6.2560 |
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+ | 6.266 | 3.0984 | 8000 | 6.2958 |
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+ | 6.219 | 3.2920 | 8500 | 6.2938 |
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+ | 6.2541 | 3.4857 | 9000 | 6.2563 |
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+ | 6.2855 | 3.6793 | 9500 | 6.2499 |
69
+ | 6.2448 | 3.8730 | 10000 | 6.3143 |
70
+ | 6.2235 | 4.0666 | 10500 | 6.2578 |
71
+ | 6.2474 | 4.2603 | 11000 | 6.3330 |
72
+ | 6.2232 | 4.4539 | 11500 | 6.2581 |
73
+ | 6.2514 | 4.6476 | 12000 | 6.3125 |
74
+ | 6.2309 | 4.8412 | 12500 | 6.3137 |
75
+ | 6.2183 | 5.0349 | 13000 | 6.2347 |
76
+ | 6.2041 | 5.2285 | 13500 | 6.2453 |
77
+ | 6.1978 | 5.4222 | 14000 | 6.2341 |
78
+ | 6.2054 | 5.6158 | 14500 | 6.2934 |
79
+ | 6.2159 | 5.8095 | 15000 | 6.2136 |
80
+ | 6.1844 | 6.0031 | 15500 | 6.2032 |
81
+ | 6.2098 | 6.1967 | 16000 | 6.2985 |
82
+ | 6.1944 | 6.3904 | 16500 | 6.2668 |
83
+ | 6.1837 | 6.5840 | 17000 | 6.2535 |
84
+ | 6.2042 | 6.7777 | 17500 | 6.3233 |
85
+ | 6.1849 | 6.9713 | 18000 | 6.2884 |
86
+ | 6.1395 | 7.1650 | 18500 | 6.2714 |
87
+ | 6.1798 | 7.3586 | 19000 | 6.2043 |
88
+ | 6.1734 | 7.5523 | 19500 | 6.2788 |
89
+ | 6.1601 | 7.7459 | 20000 | 6.2435 |
90
+ | 6.1738 | 7.9396 | 20500 | 6.2596 |
91
+ | 6.1661 | 8.1332 | 21000 | 6.2192 |
92
+ | 6.1638 | 8.3269 | 21500 | 6.1830 |
93
+ | 6.1811 | 8.5205 | 22000 | 6.2074 |
94
+ | 6.1518 | 8.7142 | 22500 | 6.1835 |
95
+ | 6.1671 | 8.9078 | 23000 | 6.2070 |
96
+ | 6.1541 | 9.1015 | 23500 | 6.1587 |
97
+ | 6.1536 | 9.2951 | 24000 | 6.1745 |
98
+ | 6.147 | 9.4888 | 24500 | 6.1859 |
99
+ | 6.1517 | 9.6824 | 25000 | 6.2295 |
100
+ | 6.13 | 9.8761 | 25500 | 6.1952 |
101
+ | 6.1361 | 10.0697 | 26000 | 6.1824 |
102
+ | 6.0979 | 10.2634 | 26500 | 6.2135 |
103
+ | 6.1144 | 10.4570 | 27000 | 6.1729 |
104
+ | 6.137 | 10.6507 | 27500 | 6.2487 |
105
+ | 6.1254 | 10.8443 | 28000 | 6.1702 |
106
+ | 6.1222 | 11.0380 | 28500 | 6.2088 |
107
+ | 6.1201 | 11.2316 | 29000 | 6.1939 |
108
+ | 6.1276 | 11.4253 | 29500 | 6.1961 |
109
+ | 6.1153 | 11.6189 | 30000 | 6.2243 |
110
+ | 6.1124 | 11.8125 | 30500 | 6.1715 |
111
+ | 6.16 | 12.0062 | 31000 | 6.2016 |
112
+ | 6.0978 | 12.1998 | 31500 | 6.1400 |
113
+ | 6.1419 | 12.3935 | 32000 | 6.2060 |
114
+ | 6.1448 | 12.5871 | 32500 | 6.2001 |
115
+ | 6.1379 | 12.7808 | 33000 | 6.1248 |
116
+ | 6.1373 | 12.9744 | 33500 | 6.1806 |
117
+ | 6.1099 | 13.1681 | 34000 | 6.1869 |
118
+ | 6.1188 | 13.3617 | 34500 | 6.1455 |
119
+ | 6.1335 | 13.5554 | 35000 | 6.1902 |
120
+ | 6.1279 | 13.7490 | 35500 | 6.1918 |
121
+ | 6.1129 | 13.9427 | 36000 | 6.2420 |
122
+ | 6.1375 | 14.1363 | 36500 | 6.1943 |
123
+ | 6.072 | 14.3300 | 37000 | 6.1802 |
124
+ | 6.0921 | 14.5236 | 37500 | 6.1914 |
125
+ | 6.099 | 14.7173 | 38000 | 6.2459 |
126
+ | 6.104 | 14.9109 | 38500 | 6.2501 |
127
+ | 6.1318 | 15.1046 | 39000 | 6.1563 |
128
+ | 6.0896 | 15.2982 | 39500 | 6.1671 |
129
+ | 6.101 | 15.4919 | 40000 | 6.2030 |
130
+ | 6.0962 | 15.6855 | 40500 | 6.1562 |
131
+ | 6.1057 | 15.8792 | 41000 | 6.1785 |
132
+ | 6.1048 | 16.0728 | 41500 | 6.1160 |
133
+ | 6.0995 | 16.2665 | 42000 | 6.1107 |
134
+ | 6.1175 | 16.4601 | 42500 | 6.1319 |
135
+ | 6.0681 | 16.6538 | 43000 | 6.1529 |
136
+ | 6.0591 | 16.8474 | 43500 | 6.1259 |
137
+ | 6.0692 | 17.0411 | 44000 | 6.1538 |
138
+ | 6.0593 | 17.2347 | 44500 | 6.1277 |
139
+ | 6.0712 | 17.4284 | 45000 | 6.1243 |
140
+ | 6.0596 | 17.6220 | 45500 | 6.1098 |
141
+ | 6.0586 | 17.8156 | 46000 | 6.0875 |
142
+ | 6.0717 | 18.0093 | 46500 | 6.1570 |
143
+ | 6.0522 | 18.2029 | 47000 | 6.1173 |
144
+ | 6.0569 | 18.3966 | 47500 | 6.1580 |
145
+ | 6.0401 | 18.5902 | 48000 | 6.0758 |
146
+ | 6.0546 | 18.7839 | 48500 | 6.1418 |
147
+ | 6.0225 | 18.9775 | 49000 | 6.0902 |
148
+ | 6.0845 | 19.1712 | 49500 | 6.1283 |
149
+ | 6.0466 | 19.3648 | 50000 | 6.1172 |
150
+ | 6.0467 | 19.5585 | 50500 | 6.1024 |
151
+ | 6.0313 | 19.7521 | 51000 | 6.1173 |
152
+ | 6.0413 | 19.9458 | 51500 | 6.0835 |
153
+ | 6.0347 | 20.1394 | 52000 | 6.1334 |
154
+ | 6.0426 | 20.3331 | 52500 | 6.0819 |
155
+ | 6.0491 | 20.5267 | 53000 | 6.0309 |
156
+ | 6.0325 | 20.7204 | 53500 | 6.1063 |
157
+ | 6.037 | 20.9140 | 54000 | 6.0734 |
158
+ | 6.0388 | 21.1077 | 54500 | 6.0478 |
159
+ | 6.037 | 21.3013 | 55000 | 5.9943 |
160
+ | 6.0579 | 21.4950 | 55500 | 6.1310 |
161
+ | 6.0455 | 21.6886 | 56000 | 6.1323 |
162
+ | 6.0141 | 21.8823 | 56500 | 6.0897 |
163
+ | 6.0256 | 22.0759 | 57000 | 6.0588 |
164
+ | 6.0093 | 22.2696 | 57500 | 6.1040 |
165
+ | 6.0071 | 22.4632 | 58000 | 6.0895 |
166
+ | 6.0118 | 22.6569 | 58500 | 6.0427 |
167
+ | 6.0022 | 22.8505 | 59000 | 6.0596 |
168
+ | 6.002 | 23.0442 | 59500 | 6.0977 |
169
+ | 6.0441 | 23.2378 | 60000 | 6.0568 |
170
+ | 6.0142 | 23.4314 | 60500 | 6.0891 |
171
+ | 6.0381 | 23.6251 | 61000 | 6.0849 |
172
+ | 6.0492 | 23.8187 | 61500 | 6.0143 |
173
+ | 6.0039 | 24.0124 | 62000 | 6.0824 |
174
+ | 6.0215 | 24.2060 | 62500 | 6.0602 |
175
+ | 6.002 | 24.3997 | 63000 | 6.0639 |
176
+ | 5.9936 | 24.5933 | 63500 | 6.0548 |
177
+ | 6.0293 | 24.7870 | 64000 | 6.0061 |
178
+ | 6.0462 | 24.9806 | 64500 | 6.0159 |
179
+ | 6.0022 | 25.1743 | 65000 | 6.0415 |
180
+ | 5.9754 | 25.3679 | 65500 | 6.0789 |
181
+ | 6.0413 | 25.5616 | 66000 | 6.0670 |
182
+ | 6.0156 | 25.7552 | 66500 | 6.0283 |
183
+ | 6.0124 | 25.9489 | 67000 | 6.0798 |
184
+ | 6.0331 | 26.1425 | 67500 | 6.0177 |
185
+ | 6.0124 | 26.3362 | 68000 | 6.0933 |
186
+ | 5.9807 | 26.5298 | 68500 | 6.0987 |
187
+ | 5.9943 | 26.7235 | 69000 | 5.9948 |
188
+ | 5.9894 | 26.9171 | 69500 | 6.0897 |
189
+ | 5.9957 | 27.1108 | 70000 | 6.0432 |
190
+ | 6.0227 | 27.3044 | 70500 | 6.0381 |
191
+ | 5.9931 | 27.4981 | 71000 | 6.0084 |
192
+ | 5.9887 | 27.6917 | 71500 | 5.9928 |
193
+ | 5.9902 | 27.8854 | 72000 | 5.9932 |
194
+ | 5.9952 | 28.0790 | 72500 | 5.9591 |
195
+ | 6.0243 | 28.2727 | 73000 | 6.0242 |
196
+ | 5.9671 | 28.4663 | 73500 | 6.0334 |
197
+ | 5.9679 | 28.6600 | 74000 | 6.0409 |
198
+ | 5.9732 | 28.8536 | 74500 | 6.0303 |
199
+ | 5.9882 | 29.0473 | 75000 | 6.0031 |
200
+ | 5.9852 | 29.2409 | 75500 | 6.0295 |
201
+ | 5.9745 | 29.4345 | 76000 | 6.0318 |
202
+ | 6.0094 | 29.6282 | 76500 | 5.9779 |
203
+ | 5.943 | 29.8218 | 77000 | 6.0571 |
204
+ | 5.971 | 30.0155 | 77500 | 5.9929 |
205
+ | 5.9537 | 30.2091 | 78000 | 5.9899 |
206
+ | 6.0035 | 30.4028 | 78500 | 5.9902 |
207
+ | 5.9711 | 30.5964 | 79000 | 6.0642 |
208
+ | 5.9596 | 30.7901 | 79500 | 6.1029 |
209
+ | 5.949 | 30.9837 | 80000 | 6.0346 |
210
+ | 5.9672 | 31.1774 | 80500 | 5.9386 |
211
+ | 5.9961 | 31.3710 | 81000 | 6.0025 |
212
+ | 5.937 | 31.5647 | 81500 | 6.0043 |
213
+ | 5.9607 | 31.7583 | 82000 | 5.9461 |
214
+ | 5.9787 | 31.9520 | 82500 | 6.0050 |
215
+ | 5.9281 | 32.1456 | 83000 | 6.0074 |
216
+ | 5.9393 | 32.3393 | 83500 | 5.9896 |
217
+ | 5.9616 | 32.5329 | 84000 | 5.9943 |
218
+ | 5.935 | 32.7266 | 84500 | 5.9669 |
219
+ | 5.9225 | 32.9202 | 85000 | 6.0164 |
220
+ | 5.9487 | 33.1139 | 85500 | 6.0167 |
221
+ | 5.9407 | 33.3075 | 86000 | 5.9504 |
222
+ | 5.9202 | 33.5012 | 86500 | 5.9375 |
223
+ | 5.9312 | 33.6948 | 87000 | 5.9740 |
224
+ | 5.9695 | 33.8885 | 87500 | 5.9803 |
225
+ | 5.9328 | 34.0821 | 88000 | 5.9981 |
226
+ | 5.9458 | 34.2758 | 88500 | 5.9877 |
227
+ | 5.9108 | 34.4694 | 89000 | 5.9726 |
228
+ | 5.9292 | 34.6631 | 89500 | 6.0048 |
229
+ | 5.9393 | 34.8567 | 90000 | 5.9371 |
230
+ | 5.9075 | 35.0503 | 90500 | 5.9322 |
231
+ | 5.9569 | 35.2440 | 91000 | 5.8930 |
232
+ | 5.9283 | 35.4376 | 91500 | 5.9293 |
233
+ | 5.9137 | 35.6313 | 92000 | 5.9345 |
234
+ | 5.9088 | 35.8249 | 92500 | 6.0019 |
235
+ | 5.9298 | 36.0186 | 93000 | 5.9135 |
236
+ | 5.8934 | 36.2122 | 93500 | 5.8897 |
237
+ | 5.9261 | 36.4059 | 94000 | 5.9464 |
238
+ | 5.9616 | 36.5995 | 94500 | 5.9007 |
239
+ | 5.9355 | 36.7932 | 95000 | 5.9731 |
240
+ | 5.9351 | 36.9868 | 95500 | 5.9000 |
241
+ | 5.8848 | 37.1805 | 96000 | 5.9153 |
242
+ | 5.9509 | 37.3741 | 96500 | 5.8593 |
243
+ | 5.9377 | 37.5678 | 97000 | 5.9312 |
244
+ | 5.9123 | 37.7614 | 97500 | 5.9220 |
245
+ | 5.9072 | 37.9551 | 98000 | 5.9025 |
246
+ | 5.9171 | 38.1487 | 98500 | 5.9045 |
247
+ | 5.9058 | 38.3424 | 99000 | 5.9257 |
248
+ | 5.8724 | 38.5360 | 99500 | 5.8890 |
249
+ | 5.9044 | 38.7297 | 100000 | 5.8842 |
250
+ | 5.8825 | 38.9233 | 100500 | 5.9243 |
251
+ | 5.8896 | 39.1170 | 101000 | 5.8916 |
252
+ | 5.8703 | 39.3106 | 101500 | 5.8239 |
253
+ | 5.8995 | 39.5043 | 102000 | 5.8519 |
254
+ | 5.8749 | 39.6979 | 102500 | 5.9181 |
255
+ | 5.829 | 39.8916 | 103000 | 5.8810 |
256
+ | 5.8845 | 40.0852 | 103500 | 5.8536 |
257
+ | 5.8612 | 40.2789 | 104000 | 5.8568 |
258
+ | 5.8809 | 40.4725 | 104500 | 5.8300 |
259
+ | 5.8486 | 40.6662 | 105000 | 5.8324 |
260
+ | 5.8185 | 40.8598 | 105500 | 5.8311 |
261
+ | 5.8588 | 41.0534 | 106000 | 5.8350 |
262
+ | 5.8414 | 41.2471 | 106500 | 5.8538 |
263
+ | 5.8269 | 41.4407 | 107000 | 5.8113 |
264
+ | 5.8499 | 41.6344 | 107500 | 5.8206 |
265
+ | 5.8121 | 41.8280 | 108000 | 5.8496 |
266
+ | 5.824 | 42.0217 | 108500 | 5.7722 |
267
+ | 5.8134 | 42.2153 | 109000 | 5.8506 |
268
+ | 5.8237 | 42.4090 | 109500 | 5.7293 |
269
+ | 5.8205 | 42.6026 | 110000 | 5.7201 |
270
+ | 5.8149 | 42.7963 | 110500 | 5.7584 |
271
+ | 5.8287 | 42.9899 | 111000 | 5.7390 |
272
+ | 5.7979 | 43.1836 | 111500 | 5.6923 |
273
+ | 5.7912 | 43.3772 | 112000 | 5.7010 |
274
+ | 5.7989 | 43.5709 | 112500 | 5.6561 |
275
+ | 5.7939 | 43.7645 | 113000 | 5.6634 |
276
+ | 5.8073 | 43.9582 | 113500 | 5.6587 |
277
+ | 5.7655 | 44.1518 | 114000 | 5.7106 |
278
+ | 5.7636 | 44.3455 | 114500 | 5.6446 |
279
+ | 5.7753 | 44.5391 | 115000 | 5.5850 |
280
+ | 5.7335 | 44.7328 | 115500 | 5.7055 |
281
+ | 5.7579 | 44.9264 | 116000 | 5.6142 |
282
+ | 5.7321 | 45.1201 | 116500 | 5.6193 |
283
+ | 5.7486 | 45.3137 | 117000 | 5.6181 |
284
+ | 5.7493 | 45.5074 | 117500 | 5.5911 |
285
+ | 5.7576 | 45.7010 | 118000 | 5.5257 |
286
+ | 5.6826 | 45.8947 | 118500 | 5.5426 |
287
+ | 5.7138 | 46.0883 | 119000 | 5.5164 |
288
+ | 5.6917 | 46.2820 | 119500 | 5.4740 |
289
+ | 5.7062 | 46.4756 | 120000 | 5.4761 |
290
+ | 5.6774 | 46.6692 | 120500 | 5.4150 |
291
+ | 5.6817 | 46.8629 | 121000 | 5.4204 |
292
+ | 5.6402 | 47.0565 | 121500 | 5.3808 |
293
+ | 5.672 | 47.2502 | 122000 | 5.3832 |
294
+ | 5.6192 | 47.4438 | 122500 | 5.3092 |
295
+ | 5.6274 | 47.6375 | 123000 | 5.2867 |
296
+ | 5.5956 | 47.8311 | 123500 | 5.2730 |
297
+ | 5.628 | 48.0248 | 124000 | 5.2721 |
298
+ | 5.5747 | 48.2184 | 124500 | 5.3099 |
299
+ | 5.5864 | 48.4121 | 125000 | 5.1926 |
300
+ | 5.6026 | 48.6057 | 125500 | 5.2517 |
301
+ | 5.565 | 48.7994 | 126000 | 5.1896 |
302
+ | 5.5401 | 48.9930 | 126500 | 5.1752 |
303
+ | 5.5585 | 49.1867 | 127000 | 5.1345 |
304
+ | 5.4725 | 49.3803 | 127500 | 5.0217 |
305
+ | 5.5341 | 49.5740 | 128000 | 5.0441 |
306
+ | 5.4843 | 49.7676 | 128500 | 5.0549 |
307
+ | 5.4929 | 49.9613 | 129000 | 5.0234 |
308
+ | 5.5027 | 50.1549 | 129500 | 4.9486 |
309
+ | 5.4838 | 50.3486 | 130000 | 5.0121 |
310
+ | 5.4258 | 50.5422 | 130500 | 5.0021 |
311
+ | 5.444 | 50.7359 | 131000 | 4.9507 |
312
+ | 5.4608 | 50.9295 | 131500 | 4.9458 |
313
+ | 5.4179 | 51.1232 | 132000 | 4.9408 |
314
+ | 5.4395 | 51.3168 | 132500 | 4.8974 |
315
+ | 5.4085 | 51.5105 | 133000 | 4.8364 |
316
+ | 5.394 | 51.7041 | 133500 | 4.8886 |
317
+ | 5.4182 | 51.8978 | 134000 | 4.8247 |
318
+ | 5.3921 | 52.0914 | 134500 | 4.8603 |
319
+ | 5.3544 | 52.2851 | 135000 | 4.8630 |
320
+ | 5.3395 | 52.4787 | 135500 | 4.7975 |
321
+ | 5.3422 | 52.6723 | 136000 | 4.7869 |
322
+ | 5.361 | 52.8660 | 136500 | 4.7595 |
323
+ | 5.3215 | 53.0596 | 137000 | 4.7637 |
324
+ | 5.3284 | 53.2533 | 137500 | 4.8026 |
325
+ | 5.3268 | 53.4469 | 138000 | 4.7542 |
326
+ | 5.2775 | 53.6406 | 138500 | 4.7015 |
327
+ | 5.2891 | 53.8342 | 139000 | 4.7523 |
328
+ | 5.2883 | 54.0279 | 139500 | 4.6897 |
329
+ | 5.3205 | 54.2215 | 140000 | 4.6383 |
330
+ | 5.2865 | 54.4152 | 140500 | 4.6780 |
331
+ | 5.2957 | 54.6088 | 141000 | 4.6293 |
332
+ | 5.2599 | 54.8025 | 141500 | 4.7128 |
333
+ | 5.2845 | 54.9961 | 142000 | 4.6624 |
334
+ | 5.3046 | 55.1898 | 142500 | 4.6206 |
335
+ | 5.2851 | 55.3834 | 143000 | 4.6395 |
336
+ | 5.275 | 55.5771 | 143500 | 4.6267 |
337
+ | 5.2309 | 55.7707 | 144000 | 4.6122 |
338
+ | 5.2393 | 55.9644 | 144500 | 4.5066 |
339
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340
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341
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342
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343
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
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354
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355
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356
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357
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358
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359
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360
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361
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362
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363
+ | 5.08 | 60.8056 | 157000 | 4.4171 |
364
+ | 5.1116 | 60.9992 | 157500 | 4.3444 |
365
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366
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367
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368
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369
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370
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371
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372
+ | 5.0798 | 62.5484 | 161500 | 4.3001 |
373
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374
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375
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376
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377
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378
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379
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380
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381
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382
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383
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384
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385
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386
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387
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388
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389
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390
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391
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392
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393
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394
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395
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396
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397
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398
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399
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400
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401
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402
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403
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404
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405
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406
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407
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408
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409
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410
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
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423
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424
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425
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426
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427
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428
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429
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430
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431
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432
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433
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434
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435
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436
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437
+ | 4.8429 | 75.1356 | 194000 | 4.0106 |
438
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439
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440
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441
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442
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443
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444
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445
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446
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447
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448
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449
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450
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451
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452
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453
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454
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455
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456
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457
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458
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459
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460
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461
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462
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463
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464
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465
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466
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467
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468
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469
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470
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471
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472
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473
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474
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475
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476
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477
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478
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479
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480
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481
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482
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483
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484
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485
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486
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487
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488
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489
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490
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491
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492
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493
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494
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495
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496
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497
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498
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499
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500
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501
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502
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503
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504
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505
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506
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507
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508
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509
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510
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511
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512
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513
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514
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515
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516
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517
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518
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519
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520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
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616
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617
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
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629
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630
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631
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632
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633
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634
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635
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636
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637
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638
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639
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640
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641
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+
825
+
826
+ ### Framework versions
827
+
828
+ - Transformers 4.47.1
829
+ - Pytorch 2.5.1+cu118
830
+ - Datasets 3.2.0
831
+ - Tokenizers 0.21.0
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