End of training
Browse files- README.md +219 -0
- added_tokens.json +4 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +47 -0
- vocab.json +1152 -0
README.md
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|
| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: facebook/wav2vec2-xls-r-300m
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| 4 |
+
tags:
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| 5 |
+
- generated_from_trainer
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| 6 |
+
model-index:
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| 7 |
+
- name: ft_0112_korean
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| 8 |
+
results: []
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| 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 |
+
# ft_0112_korean
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| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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| 17 |
+
It achieves the following results on the evaluation set:
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| 18 |
+
- Loss: 0.6163
|
| 19 |
+
- Cer: 0.1655
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| 20 |
+
|
| 21 |
+
## Model description
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| 22 |
+
|
| 23 |
+
More information needed
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| 24 |
+
|
| 25 |
+
## Intended uses & limitations
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| 26 |
+
|
| 27 |
+
More information needed
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| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
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| 38 |
+
- learning_rate: 0.0001
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| 39 |
+
- train_batch_size: 4
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| 40 |
+
- eval_batch_size: 8
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| 41 |
+
- seed: 42
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| 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 43 |
+
- lr_scheduler_type: linear
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| 44 |
+
- lr_scheduler_warmup_steps: 500
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| 45 |
+
- num_epochs: 4
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| 46 |
+
- mixed_precision_training: Native AMP
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| 47 |
+
|
| 48 |
+
### Training results
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| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Cer |
|
| 51 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|
|
| 52 |
+
| 66.0473 | 0.03 | 100 | 126.2500 | 1.0 |
|
| 53 |
+
| 39.2751 | 0.05 | 200 | 76.4439 | 1.0 |
|
| 54 |
+
| 24.2617 | 0.07 | 300 | 36.6274 | 1.0 |
|
| 55 |
+
| 10.2253 | 0.1 | 400 | 7.8025 | 1.0 |
|
| 56 |
+
| 4.9219 | 0.12 | 500 | 5.8257 | 1.0 |
|
| 57 |
+
| 4.7709 | 0.15 | 600 | 5.2597 | 1.0 |
|
| 58 |
+
| 4.7545 | 0.17 | 700 | 5.3516 | 1.0 |
|
| 59 |
+
| 4.701 | 0.2 | 800 | 5.2238 | 1.0 |
|
| 60 |
+
| 4.6753 | 0.23 | 900 | 5.1713 | 1.0 |
|
| 61 |
+
| 4.6339 | 0.25 | 1000 | 5.1546 | 1.0 |
|
| 62 |
+
| 4.6107 | 0.28 | 1100 | 5.0488 | 1.0 |
|
| 63 |
+
| 4.6086 | 0.3 | 1200 | 4.8149 | 1.0 |
|
| 64 |
+
| 4.5324 | 0.33 | 1300 | 4.7533 | 1.0 |
|
| 65 |
+
| 4.4797 | 0.35 | 1400 | 4.6892 | 1.0 |
|
| 66 |
+
| 4.4485 | 0.38 | 1500 | 4.5327 | 1.0 |
|
| 67 |
+
| 4.3794 | 0.4 | 1600 | 4.3797 | 0.9999 |
|
| 68 |
+
| 4.1549 | 0.42 | 1700 | 4.2075 | 0.9838 |
|
| 69 |
+
| 3.9647 | 0.45 | 1800 | 3.8729 | 0.9647 |
|
| 70 |
+
| 3.621 | 0.47 | 1900 | 3.3229 | 0.6854 |
|
| 71 |
+
| 3.3163 | 0.5 | 2000 | 2.9646 | 0.5646 |
|
| 72 |
+
| 3.0668 | 0.53 | 2100 | 2.7178 | 0.5608 |
|
| 73 |
+
| 2.8248 | 0.55 | 2200 | 2.4843 | 0.4937 |
|
| 74 |
+
| 2.7238 | 0.57 | 2300 | 2.3321 | 0.4736 |
|
| 75 |
+
| 2.614 | 0.6 | 2400 | 2.2513 | 0.4650 |
|
| 76 |
+
| 2.4994 | 0.62 | 2500 | 2.1655 | 0.4538 |
|
| 77 |
+
| 2.4431 | 0.65 | 2600 | 2.0785 | 0.4355 |
|
| 78 |
+
| 2.3307 | 0.68 | 2700 | 1.9603 | 0.4169 |
|
| 79 |
+
| 2.2495 | 0.7 | 2800 | 1.9026 | 0.4134 |
|
| 80 |
+
| 2.1647 | 0.72 | 2900 | 1.8152 | 0.4009 |
|
| 81 |
+
| 2.1075 | 0.75 | 3000 | 1.7521 | 0.3849 |
|
| 82 |
+
| 2.0577 | 0.78 | 3100 | 1.7004 | 0.3781 |
|
| 83 |
+
| 1.9935 | 0.8 | 3200 | 1.6226 | 0.3666 |
|
| 84 |
+
| 1.9391 | 0.82 | 3300 | 1.6097 | 0.3604 |
|
| 85 |
+
| 1.9295 | 0.85 | 3400 | 1.5416 | 0.3526 |
|
| 86 |
+
| 1.8759 | 0.88 | 3500 | 1.5227 | 0.3583 |
|
| 87 |
+
| 1.8316 | 0.9 | 3600 | 1.4791 | 0.3484 |
|
| 88 |
+
| 1.7531 | 0.93 | 3700 | 1.4472 | 0.3415 |
|
| 89 |
+
| 1.7413 | 0.95 | 3800 | 1.4178 | 0.3363 |
|
| 90 |
+
| 1.6609 | 0.97 | 3900 | 1.3587 | 0.3256 |
|
| 91 |
+
| 1.6986 | 1.0 | 4000 | 1.3396 | 0.3208 |
|
| 92 |
+
| 1.6189 | 1.02 | 4100 | 1.3253 | 0.3187 |
|
| 93 |
+
| 1.5853 | 1.05 | 4200 | 1.2929 | 0.3109 |
|
| 94 |
+
| 1.5153 | 1.07 | 4300 | 1.2691 | 0.3106 |
|
| 95 |
+
| 1.5259 | 1.1 | 4400 | 1.2500 | 0.3012 |
|
| 96 |
+
| 1.4916 | 1.12 | 4500 | 1.2151 | 0.2977 |
|
| 97 |
+
| 1.4113 | 1.15 | 4600 | 1.1796 | 0.2930 |
|
| 98 |
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| 1.452 | 1.18 | 4700 | 1.1857 | 0.2928 |
|
| 99 |
+
| 1.3879 | 1.2 | 4800 | 1.1830 | 0.2915 |
|
| 100 |
+
| 1.4164 | 1.23 | 4900 | 1.1725 | 0.2920 |
|
| 101 |
+
| 1.4692 | 1.25 | 5000 | 1.1171 | 0.2794 |
|
| 102 |
+
| 1.346 | 1.27 | 5100 | 1.0858 | 0.2745 |
|
| 103 |
+
| 1.3964 | 1.3 | 5200 | 1.0644 | 0.2712 |
|
| 104 |
+
| 1.3359 | 1.32 | 5300 | 1.0585 | 0.2694 |
|
| 105 |
+
| 1.2769 | 1.35 | 5400 | 1.0290 | 0.2614 |
|
| 106 |
+
| 1.2741 | 1.38 | 5500 | 1.0356 | 0.2604 |
|
| 107 |
+
| 1.2257 | 1.4 | 5600 | 1.0167 | 0.2607 |
|
| 108 |
+
| 1.2416 | 1.43 | 5700 | 1.0074 | 0.2558 |
|
| 109 |
+
| 1.2376 | 1.45 | 5800 | 0.9889 | 0.2524 |
|
| 110 |
+
| 1.2048 | 1.48 | 5900 | 0.9649 | 0.2464 |
|
| 111 |
+
| 1.1335 | 1.5 | 6000 | 0.9580 | 0.2488 |
|
| 112 |
+
| 1.1946 | 1.52 | 6100 | 0.9503 | 0.2471 |
|
| 113 |
+
| 1.1926 | 1.55 | 6200 | 0.9467 | 0.2494 |
|
| 114 |
+
| 1.1451 | 1.57 | 6300 | 0.9202 | 0.2408 |
|
| 115 |
+
| 1.1426 | 1.6 | 6400 | 0.9018 | 0.2359 |
|
| 116 |
+
| 1.1569 | 1.62 | 6500 | 0.9216 | 0.2362 |
|
| 117 |
+
| 1.1093 | 1.65 | 6600 | 0.9433 | 0.2414 |
|
| 118 |
+
| 1.1258 | 1.68 | 6700 | 0.8986 | 0.2291 |
|
| 119 |
+
| 1.1024 | 1.7 | 6800 | 0.8838 | 0.2305 |
|
| 120 |
+
| 1.0567 | 1.73 | 6900 | 0.8916 | 0.2298 |
|
| 121 |
+
| 1.0928 | 1.75 | 7000 | 0.8855 | 0.2294 |
|
| 122 |
+
| 1.0526 | 1.77 | 7100 | 0.8592 | 0.2237 |
|
| 123 |
+
| 1.0236 | 1.8 | 7200 | 0.8433 | 0.2209 |
|
| 124 |
+
| 1.0454 | 1.82 | 7300 | 0.8382 | 0.2214 |
|
| 125 |
+
| 1.0252 | 1.85 | 7400 | 0.8252 | 0.2173 |
|
| 126 |
+
| 1.0404 | 1.88 | 7500 | 0.8190 | 0.2148 |
|
| 127 |
+
| 1.0326 | 1.9 | 7600 | 0.8067 | 0.2155 |
|
| 128 |
+
| 1.0008 | 1.93 | 7700 | 0.8081 | 0.2161 |
|
| 129 |
+
| 0.9814 | 1.95 | 7800 | 0.8061 | 0.2152 |
|
| 130 |
+
| 0.9664 | 1.98 | 7900 | 0.8147 | 0.2155 |
|
| 131 |
+
| 1.0032 | 2.0 | 8000 | 0.8232 | 0.2128 |
|
| 132 |
+
| 0.9274 | 2.02 | 8100 | 0.7951 | 0.2118 |
|
| 133 |
+
| 0.9115 | 2.05 | 8200 | 0.7857 | 0.2105 |
|
| 134 |
+
| 0.9339 | 2.08 | 8300 | 0.7722 | 0.2069 |
|
| 135 |
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| 0.8553 | 2.1 | 8400 | 0.7603 | 0.2070 |
|
| 136 |
+
| 0.8671 | 2.12 | 8500 | 0.7927 | 0.2099 |
|
| 137 |
+
| 0.9067 | 2.15 | 8600 | 0.7511 | 0.2013 |
|
| 138 |
+
| 0.8507 | 2.17 | 8700 | 0.7763 | 0.2029 |
|
| 139 |
+
| 0.899 | 2.2 | 8800 | 0.7579 | 0.2026 |
|
| 140 |
+
| 0.8061 | 2.23 | 8900 | 0.7561 | 0.2014 |
|
| 141 |
+
| 0.8191 | 2.25 | 9000 | 0.7590 | 0.2024 |
|
| 142 |
+
| 0.8084 | 2.27 | 9100 | 0.7394 | 0.1972 |
|
| 143 |
+
| 0.8163 | 2.3 | 9200 | 0.7404 | 0.1941 |
|
| 144 |
+
| 0.8189 | 2.33 | 9300 | 0.7340 | 0.1955 |
|
| 145 |
+
| 0.8639 | 2.35 | 9400 | 0.7331 | 0.1950 |
|
| 146 |
+
| 0.8218 | 2.38 | 9500 | 0.7347 | 0.1959 |
|
| 147 |
+
| 0.8221 | 2.4 | 9600 | 0.7098 | 0.1922 |
|
| 148 |
+
| 0.7725 | 2.42 | 9700 | 0.7264 | 0.1923 |
|
| 149 |
+
| 0.7882 | 2.45 | 9800 | 0.7079 | 0.1875 |
|
| 150 |
+
| 0.7786 | 2.48 | 9900 | 0.7131 | 0.1913 |
|
| 151 |
+
| 0.7734 | 2.5 | 10000 | 0.7079 | 0.1912 |
|
| 152 |
+
| 0.7834 | 2.52 | 10100 | 0.6944 | 0.1896 |
|
| 153 |
+
| 0.78 | 2.55 | 10200 | 0.6980 | 0.1879 |
|
| 154 |
+
| 0.7602 | 2.58 | 10300 | 0.7076 | 0.1894 |
|
| 155 |
+
| 0.7415 | 2.6 | 10400 | 0.6946 | 0.1857 |
|
| 156 |
+
| 0.7791 | 2.62 | 10500 | 0.7025 | 0.1887 |
|
| 157 |
+
| 0.7357 | 2.65 | 10600 | 0.6949 | 0.1885 |
|
| 158 |
+
| 0.7102 | 2.67 | 10700 | 0.6978 | 0.1895 |
|
| 159 |
+
| 0.7395 | 2.7 | 10800 | 0.6893 | 0.1859 |
|
| 160 |
+
| 0.7301 | 2.73 | 10900 | 0.6847 | 0.1857 |
|
| 161 |
+
| 0.7492 | 2.75 | 11000 | 0.7063 | 0.1863 |
|
| 162 |
+
| 0.7372 | 2.77 | 11100 | 0.6917 | 0.1857 |
|
| 163 |
+
| 0.7474 | 2.8 | 11200 | 0.6843 | 0.1845 |
|
| 164 |
+
| 0.6727 | 2.83 | 11300 | 0.6628 | 0.1775 |
|
| 165 |
+
| 0.7342 | 2.85 | 11400 | 0.6729 | 0.1797 |
|
| 166 |
+
| 0.6599 | 2.88 | 11500 | 0.6631 | 0.1797 |
|
| 167 |
+
| 0.7209 | 2.9 | 11600 | 0.6658 | 0.1795 |
|
| 168 |
+
| 0.7222 | 2.92 | 11700 | 0.6741 | 0.1807 |
|
| 169 |
+
| 0.7124 | 2.95 | 11800 | 0.6722 | 0.1828 |
|
| 170 |
+
| 0.7304 | 2.98 | 11900 | 0.6606 | 0.1782 |
|
| 171 |
+
| 0.7234 | 3.0 | 12000 | 0.6499 | 0.1753 |
|
| 172 |
+
| 0.6857 | 3.02 | 12100 | 0.6547 | 0.1751 |
|
| 173 |
+
| 0.6238 | 3.05 | 12200 | 0.6615 | 0.1771 |
|
| 174 |
+
| 0.6495 | 3.08 | 12300 | 0.6499 | 0.1764 |
|
| 175 |
+
| 0.6219 | 3.1 | 12400 | 0.6558 | 0.1752 |
|
| 176 |
+
| 0.6684 | 3.12 | 12500 | 0.6479 | 0.1752 |
|
| 177 |
+
| 0.6455 | 3.15 | 12600 | 0.6574 | 0.1741 |
|
| 178 |
+
| 0.6414 | 3.17 | 12700 | 0.6489 | 0.1755 |
|
| 179 |
+
| 0.6619 | 3.2 | 12800 | 0.6527 | 0.1754 |
|
| 180 |
+
| 0.6303 | 3.23 | 12900 | 0.6462 | 0.1743 |
|
| 181 |
+
| 0.6525 | 3.25 | 13000 | 0.6505 | 0.1731 |
|
| 182 |
+
| 0.6347 | 3.27 | 13100 | 0.6432 | 0.1713 |
|
| 183 |
+
| 0.6206 | 3.3 | 13200 | 0.6495 | 0.1746 |
|
| 184 |
+
| 0.6445 | 3.33 | 13300 | 0.6328 | 0.1706 |
|
| 185 |
+
| 0.6097 | 3.35 | 13400 | 0.6329 | 0.1689 |
|
| 186 |
+
| 0.6151 | 3.38 | 13500 | 0.6473 | 0.1730 |
|
| 187 |
+
| 0.5948 | 3.4 | 13600 | 0.6413 | 0.1714 |
|
| 188 |
+
| 0.5949 | 3.42 | 13700 | 0.6377 | 0.1712 |
|
| 189 |
+
| 0.6402 | 3.45 | 13800 | 0.6295 | 0.1692 |
|
| 190 |
+
| 0.6607 | 3.48 | 13900 | 0.6287 | 0.1694 |
|
| 191 |
+
| 0.6219 | 3.5 | 14000 | 0.6357 | 0.1704 |
|
| 192 |
+
| 0.61 | 3.52 | 14100 | 0.6392 | 0.1715 |
|
| 193 |
+
| 0.5974 | 3.55 | 14200 | 0.6315 | 0.1687 |
|
| 194 |
+
| 0.5839 | 3.58 | 14300 | 0.6359 | 0.1689 |
|
| 195 |
+
| 0.6017 | 3.6 | 14400 | 0.6316 | 0.1673 |
|
| 196 |
+
| 0.6091 | 3.62 | 14500 | 0.6284 | 0.1686 |
|
| 197 |
+
| 0.6565 | 3.65 | 14600 | 0.6304 | 0.1684 |
|
| 198 |
+
| 0.6179 | 3.67 | 14700 | 0.6259 | 0.1661 |
|
| 199 |
+
| 0.5813 | 3.7 | 14800 | 0.6310 | 0.1672 |
|
| 200 |
+
| 0.5802 | 3.73 | 14900 | 0.6250 | 0.1667 |
|
| 201 |
+
| 0.6035 | 3.75 | 15000 | 0.6284 | 0.1666 |
|
| 202 |
+
| 0.5569 | 3.77 | 15100 | 0.6203 | 0.1651 |
|
| 203 |
+
| 0.5712 | 3.8 | 15200 | 0.6207 | 0.1660 |
|
| 204 |
+
| 0.546 | 3.83 | 15300 | 0.6246 | 0.1661 |
|
| 205 |
+
| 0.5602 | 3.85 | 15400 | 0.6206 | 0.1656 |
|
| 206 |
+
| 0.591 | 3.88 | 15500 | 0.6179 | 0.1650 |
|
| 207 |
+
| 0.5972 | 3.9 | 15600 | 0.6164 | 0.1653 |
|
| 208 |
+
| 0.6168 | 3.92 | 15700 | 0.6174 | 0.1660 |
|
| 209 |
+
| 0.5957 | 3.95 | 15800 | 0.6164 | 0.1657 |
|
| 210 |
+
| 0.5754 | 3.98 | 15900 | 0.6163 | 0.1657 |
|
| 211 |
+
| 0.5686 | 4.0 | 16000 | 0.6163 | 0.1655 |
|
| 212 |
+
|
| 213 |
+
|
| 214 |
+
### Framework versions
|
| 215 |
+
|
| 216 |
+
- Transformers 4.35.2
|
| 217 |
+
- Pytorch 2.1.1+cu121
|
| 218 |
+
- Datasets 2.13.0
|
| 219 |
+
- Tokenizers 0.15.0
|
added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</s>": 1151,
|
| 3 |
+
"<s>": 1150
|
| 4 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"unk_token": "[UNK]"
|
| 6 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"1148": {
|
| 4 |
+
"content": "[UNK]",
|
| 5 |
+
"lstrip": true,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": true,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": false
|
| 10 |
+
},
|
| 11 |
+
"1149": {
|
| 12 |
+
"content": "[PAD]",
|
| 13 |
+
"lstrip": true,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": true,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": false
|
| 18 |
+
},
|
| 19 |
+
"1150": {
|
| 20 |
+
"content": "<s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": true,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"1151": {
|
| 28 |
+
"content": "</s>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
}
|
| 35 |
+
},
|
| 36 |
+
"bos_token": "<s>",
|
| 37 |
+
"clean_up_tokenization_spaces": true,
|
| 38 |
+
"do_lower_case": false,
|
| 39 |
+
"eos_token": "</s>",
|
| 40 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 41 |
+
"pad_token": "[PAD]",
|
| 42 |
+
"replace_word_delimiter_char": " ",
|
| 43 |
+
"target_lang": null,
|
| 44 |
+
"tokenizer_class": "Wav2Vec2CTCTokenizer",
|
| 45 |
+
"unk_token": "[UNK]",
|
| 46 |
+
"word_delimiter_token": "|"
|
| 47 |
+
}
|
vocab.json
ADDED
|
@@ -0,0 +1,1152 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"[PAD]": 1149,
|
| 3 |
+
"[UNK]": 1148,
|
| 4 |
+
"|": 0,
|
| 5 |
+
"가": 1,
|
| 6 |
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"각": 2,
|
| 7 |
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"간": 3,
|
| 8 |
+
"갈": 4,
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"갖": 10,
|
| 15 |
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|
| 16 |
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"개": 12,
|
| 17 |
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"객": 13,
|
| 18 |
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"갠": 14,
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"것": 25,
|
| 30 |
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|
| 31 |
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"겊": 27,
|
| 32 |
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"게": 28,
|
| 33 |
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"겐": 29,
|
| 34 |
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"겔": 30,
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"겪": 34,
|
| 39 |
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"견": 35,
|
| 40 |
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|
| 41 |
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|
| 42 |
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"겹": 38,
|
| 43 |
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"겼": 39,
|
| 44 |
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"경": 40,
|
| 45 |
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"곁": 41,
|
| 46 |
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"계": 42,
|
| 47 |
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"고": 43,
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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"과": 53,
|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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"글": 79,
|
| 84 |
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"긁": 80,
|
| 85 |
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|
| 86 |
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"급": 82,
|
| 87 |
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"긋": 83,
|
| 88 |
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"긍": 84,
|
| 89 |
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"기": 85,
|
| 90 |
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"긴": 86,
|
| 91 |
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"길": 87,
|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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| 126 |
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| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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"끊": 135,
|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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"낀": 142,
|
| 147 |
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"낄": 143,
|
| 148 |
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"낌": 144,
|
| 149 |
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"나": 145,
|
| 150 |
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"낙": 146,
|
| 151 |
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"난": 147,
|
| 152 |
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|
| 153 |
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"남": 149,
|
| 154 |
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"납": 150,
|
| 155 |
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"낫": 151,
|
| 156 |
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"났": 152,
|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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| 177 |
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|
| 178 |
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|
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|
| 180 |
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|
| 181 |
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|
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 215 |
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| 216 |
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| 223 |
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| 233 |
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| 234 |
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| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 268 |
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| 270 |
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| 271 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 279 |
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| 280 |
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| 281 |
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| 282 |
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| 283 |
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| 284 |
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| 285 |
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| 286 |
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| 287 |
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| 288 |
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| 289 |
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| 290 |
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| 291 |
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| 292 |
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| 293 |
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| 294 |
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| 295 |
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| 296 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 301 |
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| 302 |
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| 303 |
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| 304 |
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| 305 |
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| 306 |
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| 307 |
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| 308 |
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| 309 |
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| 310 |
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| 311 |
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| 312 |
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| 313 |
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| 314 |
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| 315 |
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| 316 |
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| 317 |
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| 318 |
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| 319 |
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| 320 |
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| 321 |
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| 322 |
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| 323 |
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| 324 |
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| 325 |
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| 326 |
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| 327 |
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| 328 |
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| 329 |
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| 330 |
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| 331 |
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| 332 |
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| 333 |
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| 334 |
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| 335 |
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| 336 |
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| 337 |
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| 344 |
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| 346 |
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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 |
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| 364 |
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| 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 |
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| 373 |
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| 376 |
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| 377 |
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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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| 437 |
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| 475 |
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| 476 |
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|
| 479 |
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| 480 |
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|
| 481 |
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|
| 483 |
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| 484 |
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|
| 487 |
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|
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|
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|
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|
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|
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|
| 538 |
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|
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|
| 542 |
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|
| 543 |
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|
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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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|
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|
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|
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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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|
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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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|
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|
| 594 |
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|
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|
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