End of training
Browse files- README.md +101 -0
- added_tokens.json +2326 -0
- config.json +92 -0
- generation_config.json +9 -0
- preprocessor_config.json +19 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +13 -0
- spm_char.model +3 -0
- tokenizer_config.json +12 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,101 @@
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| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: microsoft/speecht5_tts
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- fleurs
|
| 8 |
+
model-index:
|
| 9 |
+
- name: speecht5_finetuned_fleurs_zh_4000
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# speecht5_finetuned_fleurs_zh_4000
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the fleurs dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.3888
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 1e-05
|
| 40 |
+
- train_batch_size: 4
|
| 41 |
+
- eval_batch_size: 2
|
| 42 |
+
- seed: 42
|
| 43 |
+
- gradient_accumulation_steps: 8
|
| 44 |
+
- total_train_batch_size: 32
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- lr_scheduler_warmup_steps: 500
|
| 48 |
+
- training_steps: 4000
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 54 |
+
| 0.7366 | 1.09 | 100 | 0.6059 |
|
| 55 |
+
| 0.5892 | 2.19 | 200 | 0.5104 |
|
| 56 |
+
| 0.5436 | 3.28 | 300 | 0.4585 |
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| 57 |
+
| 0.4848 | 4.38 | 400 | 0.4333 |
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| 58 |
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| 0.4733 | 5.47 | 500 | 0.4276 |
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| 59 |
+
| 0.4534 | 6.57 | 600 | 0.4194 |
|
| 60 |
+
| 0.454 | 7.66 | 700 | 0.4172 |
|
| 61 |
+
| 0.4489 | 8.76 | 800 | 0.4111 |
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| 62 |
+
| 0.4401 | 9.85 | 900 | 0.4108 |
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| 63 |
+
| 0.441 | 10.94 | 1000 | 0.4136 |
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| 64 |
+
| 0.437 | 12.04 | 1100 | 0.4078 |
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| 65 |
+
| 0.4333 | 13.13 | 1200 | 0.4067 |
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| 66 |
+
| 0.4328 | 14.23 | 1300 | 0.4002 |
|
| 67 |
+
| 0.4289 | 15.32 | 1400 | 0.4015 |
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| 68 |
+
| 0.4254 | 16.42 | 1500 | 0.4012 |
|
| 69 |
+
| 0.427 | 17.51 | 1600 | 0.4020 |
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| 70 |
+
| 0.4273 | 18.6 | 1700 | 0.4008 |
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| 71 |
+
| 0.4222 | 19.7 | 1800 | 0.3966 |
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| 72 |
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| 0.4305 | 20.79 | 1900 | 0.3998 |
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| 73 |
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| 0.4198 | 21.89 | 2000 | 0.3954 |
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| 74 |
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| 0.4225 | 22.98 | 2100 | 0.3961 |
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| 75 |
+
| 0.4223 | 24.08 | 2200 | 0.3965 |
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| 76 |
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| 0.4201 | 25.17 | 2300 | 0.3922 |
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| 77 |
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| 0.4234 | 26.27 | 2400 | 0.3939 |
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| 78 |
+
| 0.4213 | 27.36 | 2500 | 0.3930 |
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| 79 |
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| 0.4182 | 28.45 | 2600 | 0.3934 |
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| 80 |
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| 0.4119 | 29.55 | 2700 | 0.3925 |
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| 81 |
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| 0.4113 | 30.64 | 2800 | 0.3907 |
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| 82 |
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| 0.4131 | 31.74 | 2900 | 0.3907 |
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| 83 |
+
| 0.4135 | 32.83 | 3000 | 0.3933 |
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| 84 |
+
| 0.4142 | 33.93 | 3100 | 0.3909 |
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| 85 |
+
| 0.4144 | 35.02 | 3200 | 0.3919 |
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| 86 |
+
| 0.414 | 36.11 | 3300 | 0.3919 |
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| 87 |
+
| 0.418 | 37.21 | 3400 | 0.3899 |
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| 88 |
+
| 0.4094 | 38.3 | 3500 | 0.3897 |
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| 89 |
+
| 0.4149 | 39.4 | 3600 | 0.3924 |
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| 90 |
+
| 0.4105 | 40.49 | 3700 | 0.3905 |
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| 91 |
+
| 0.413 | 41.59 | 3800 | 0.3895 |
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| 92 |
+
| 0.4117 | 42.68 | 3900 | 0.3900 |
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| 93 |
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| 0.4096 | 43.78 | 4000 | 0.3888 |
|
| 94 |
+
|
| 95 |
+
|
| 96 |
+
### Framework versions
|
| 97 |
+
|
| 98 |
+
- Transformers 4.33.0
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| 99 |
+
- Pytorch 2.0.1+cu118
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| 100 |
+
- Datasets 2.14.4
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| 101 |
+
- Tokenizers 0.13.3
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added_tokens.json
ADDED
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@@ -0,0 +1,2326 @@
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| 1 |
+
{
|
| 2 |
+
" ": 634,
|
| 3 |
+
"%": 281,
|
| 4 |
+
"&": 320,
|
| 5 |
+
"+": 255,
|
| 6 |
+
"0": 1698,
|
| 7 |
+
"1": 1586,
|
| 8 |
+
"2": 1632,
|
| 9 |
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| 837 |
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| 838 |
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| 839 |
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| 840 |
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| 841 |
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| 842 |
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| 843 |
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| 844 |
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| 845 |
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| 846 |
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| 847 |
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| 848 |
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| 849 |
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| 850 |
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| 851 |
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| 852 |
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| 853 |
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| 854 |
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| 855 |
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| 856 |
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| 857 |
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| 858 |
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| 859 |
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| 860 |
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| 861 |
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| 862 |
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| 863 |
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| 864 |
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| 865 |
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| 866 |
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| 867 |
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| 868 |
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| 869 |
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| 870 |
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| 871 |
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| 872 |
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| 873 |
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| 874 |
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| 875 |
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| 876 |
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| 877 |
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| 878 |
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| 879 |
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| 880 |
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| 881 |
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| 882 |
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| 883 |
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| 884 |
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| 885 |
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| 886 |
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| 887 |
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| 888 |
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| 889 |
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| 890 |
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| 891 |
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| 892 |
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| 893 |
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| 894 |
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| 895 |
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| 896 |
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| 897 |
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| 898 |
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| 899 |
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| 900 |
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| 901 |
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| 902 |
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| 903 |
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| 904 |
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| 906 |
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| 907 |
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| 908 |
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| 909 |
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| 910 |
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| 911 |
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| 912 |
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| 913 |
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| 914 |
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| 915 |
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| 916 |
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| 917 |
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| 918 |
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| 920 |
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| 921 |
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| 922 |
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| 923 |
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| 926 |
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| 927 |
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| 928 |
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| 929 |
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| 930 |
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| 931 |
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| 932 |
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| 933 |
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| 934 |
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| 935 |
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| 936 |
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| 937 |
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| 938 |
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| 939 |
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| 940 |
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| 941 |
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| 944 |
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| 948 |
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| 949 |
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| 950 |
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| 951 |
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| 953 |
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| 955 |
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| 957 |
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| 958 |
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| 959 |
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| 960 |
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| 961 |
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| 962 |
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| 963 |
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| 964 |
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| 965 |
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| 966 |
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| 967 |
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| 968 |
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| 969 |
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| 970 |
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| 971 |
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| 973 |
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| 976 |
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| 977 |
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| 978 |
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| 979 |
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| 980 |
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| 981 |
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| 982 |
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| 983 |
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| 984 |
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| 985 |
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| 986 |
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| 987 |
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| 988 |
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| 989 |
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| 990 |
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| 991 |
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| 992 |
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| 993 |
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| 994 |
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| 995 |
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| 996 |
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| 997 |
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| 998 |
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| 999 |
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| 1000 |
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| 1001 |
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| 1002 |
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| 1003 |
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| 1004 |
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| 1005 |
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| 1006 |
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| 1007 |
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| 1008 |
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| 1009 |
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| 1010 |
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| 1011 |
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| 1012 |
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| 1013 |
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| 1014 |
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| 1015 |
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| 1016 |
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| 1017 |
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| 1018 |
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| 1019 |
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| 1020 |
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| 1021 |
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| 1022 |
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| 1023 |
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| 1024 |
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| 1025 |
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| 1026 |
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| 1027 |
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| 1028 |
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| 1029 |
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| 1030 |
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| 1031 |
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| 1032 |
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| 1033 |
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| 1034 |
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| 1035 |
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| 1036 |
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| 1037 |
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| 1038 |
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| 1039 |
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| 1040 |
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| 1041 |
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| 1042 |
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| 1043 |
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| 1044 |
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| 1045 |
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| 1046 |
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| 1047 |
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| 1048 |
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| 1049 |
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| 1050 |
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| 1052 |
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| 1053 |
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| 1054 |
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| 1055 |
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| 1056 |
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| 1057 |
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| 1058 |
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| 1059 |
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| 1060 |
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| 1061 |
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| 1062 |
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| 1063 |
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| 1064 |
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| 1065 |
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| 1066 |
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| 1067 |
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| 1068 |
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| 1069 |
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| 1070 |
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| 1071 |
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| 1072 |
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| 1073 |
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| 1074 |
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| 1075 |
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| 1076 |
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| 1077 |
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| 1078 |
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| 1079 |
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| 1080 |
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| 1081 |
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| 1082 |
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| 1083 |
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| 1084 |
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| 1085 |
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| 1086 |
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| 1087 |
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| 1088 |
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| 1089 |
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| 1090 |
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| 1091 |
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| 1092 |
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| 1093 |
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| 1094 |
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| 1095 |
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| 1096 |
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| 1098 |
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| 1099 |
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| 1100 |
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| 1101 |
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| 1102 |
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| 1103 |
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| 1104 |
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| 1105 |
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| 1106 |
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| 1107 |
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| 1108 |
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| 1109 |
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| 1110 |
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| 1111 |
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| 1112 |
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| 1113 |
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| 1114 |
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| 1115 |
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| 1116 |
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| 1117 |
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| 1118 |
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| 1122 |
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| 1123 |
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| 1124 |
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| 1125 |
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| 1126 |
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| 1128 |
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| 1129 |
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| 1130 |
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| 1131 |
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| 1133 |
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| 1136 |
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| 1137 |
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| 1138 |
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| 1139 |
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| 1140 |
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| 1141 |
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| 1142 |
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| 1143 |
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| 1145 |
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| 1148 |
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| 1183 |
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| 1193 |
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| 1194 |
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| 1195 |
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| 1200 |
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| 1202 |
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| 1203 |
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| 1211 |
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| 1626 |
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|
| 1627 |
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|
| 1628 |
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|
| 1629 |
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|
| 1630 |
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|
| 1631 |
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|
| 1632 |
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|
| 1633 |
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| 1634 |
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|
| 1635 |
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|
| 1636 |
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|
| 1637 |
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|
| 1638 |
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|
| 1639 |
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|
| 1640 |
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|
| 1641 |
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|
| 1642 |
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| 1643 |
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|
| 1644 |
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|
| 1645 |
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|
| 1646 |
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|
| 1647 |
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|
| 1648 |
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| 1649 |
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| 1650 |
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| 1651 |
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| 1652 |
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| 1653 |
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| 1654 |
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|
| 1655 |
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| 1656 |
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| 1657 |
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| 1658 |
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| 1659 |
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| 1660 |
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| 1661 |
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| 1662 |
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| 1663 |
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| 1664 |
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| 1665 |
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| 1666 |
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| 1667 |
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| 1668 |
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| 1669 |
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| 1670 |
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| 1671 |
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| 1672 |
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| 1673 |
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| 1674 |
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| 1675 |
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| 1676 |
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| 1677 |
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| 1678 |
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| 1679 |
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| 1680 |
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|
| 1681 |
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|
| 1682 |
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|
| 1683 |
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|
| 1684 |
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|
| 1685 |
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| 1686 |
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|
| 1687 |
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|
| 1688 |
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|
| 1689 |
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|
| 1690 |
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|
| 1691 |
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|
| 1692 |
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|
| 1693 |
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|
| 1694 |
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|
| 1695 |
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|
| 1696 |
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|
| 1697 |
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|
| 1698 |
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|
| 1699 |
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|
| 1700 |
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|
| 1701 |
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| 1702 |
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|
| 1703 |
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|
| 1704 |
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| 1705 |
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| 1706 |
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|
| 1707 |
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|
| 1708 |
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|
| 1709 |
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| 1710 |
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|
| 1711 |
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|
| 1712 |
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| 1713 |
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| 1714 |
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| 1715 |
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| 1716 |
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| 1717 |
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|
| 1718 |
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|
| 1719 |
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|
| 1720 |
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|
| 1721 |
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|
| 1722 |
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|
| 1723 |
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|
| 1724 |
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|
| 1725 |
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|
| 1726 |
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|
| 1727 |
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|
| 1728 |
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|
| 1729 |
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|
| 1730 |
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|
| 1731 |
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|
| 1732 |
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|
| 1733 |
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|
| 1734 |
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|
| 1735 |
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|
| 1736 |
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|
| 1737 |
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|
| 1738 |
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|
| 1739 |
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|
| 1740 |
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|
| 1741 |
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|
| 1742 |
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|
| 1743 |
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|
| 1744 |
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|
| 1745 |
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|
| 1746 |
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|
| 1747 |
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|
| 1748 |
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|
| 1749 |
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|
| 1750 |
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|
| 1751 |
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|
| 1752 |
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|
| 1753 |
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|
| 1754 |
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|
| 1755 |
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|
| 1756 |
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|
| 1757 |
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|
| 1758 |
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|
| 1759 |
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|
| 1760 |
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|
| 1761 |
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|
| 1762 |
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|
| 1763 |
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|
| 1764 |
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|
| 1765 |
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|
| 1766 |
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|
| 1767 |
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|
| 1768 |
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|
| 1769 |
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|
| 1770 |
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|
| 1771 |
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|
| 1772 |
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|
| 1773 |
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|
| 1774 |
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|
| 1775 |
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|
| 1776 |
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"艰": 593,
|
| 1777 |
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"色": 939,
|
| 1778 |
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|
| 1779 |
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"艺": 666,
|
| 1780 |
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|
| 1781 |
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|
| 1782 |
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"芝": 1083,
|
| 1783 |
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|
| 1784 |
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"芯": 680,
|
| 1785 |
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|
| 1786 |
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|
| 1787 |
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|
| 1788 |
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|
| 1789 |
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|
| 1790 |
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"英": 2273,
|
| 1791 |
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|
| 1792 |
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|
| 1793 |
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|
| 1794 |
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|
| 1795 |
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|
| 1796 |
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|
| 1797 |
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|
| 1798 |
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"荐": 2174,
|
| 1799 |
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|
| 1800 |
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|
| 1801 |
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|
| 1802 |
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"药": 1545,
|
| 1803 |
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"荷": 1562,
|
| 1804 |
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"莉": 2349,
|
| 1805 |
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"莎": 1616,
|
| 1806 |
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"莨": 2260,
|
| 1807 |
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|
| 1808 |
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"莱": 2092,
|
| 1809 |
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"获": 1611,
|
| 1810 |
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"菊": 1923,
|
| 1811 |
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|
| 1812 |
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"菜": 318,
|
| 1813 |
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|
| 1814 |
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|
| 1815 |
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"萄": 1672,
|
| 1816 |
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"营": 1837,
|
| 1817 |
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|
| 1818 |
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"萨": 1951,
|
| 1819 |
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|
| 1820 |
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"著": 1522,
|
| 1821 |
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|
| 1822 |
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"葬": 1621,
|
| 1823 |
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|
| 1824 |
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"蒂": 1354,
|
| 1825 |
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"蒙": 1549,
|
| 1826 |
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"蒸": 523,
|
| 1827 |
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"蓄": 144,
|
| 1828 |
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"蔓": 1664,
|
| 1829 |
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"蔗": 448,
|
| 1830 |
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"蔡": 1630,
|
| 1831 |
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"蕾": 550,
|
| 1832 |
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"薄": 147,
|
| 1833 |
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"薪": 2222,
|
| 1834 |
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"藉": 878,
|
| 1835 |
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"藏": 1872,
|
| 1836 |
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"藤": 840,
|
| 1837 |
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"藻": 364,
|
| 1838 |
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"虎": 2113,
|
| 1839 |
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"虏": 456,
|
| 1840 |
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"虐": 1494,
|
| 1841 |
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"虑": 943,
|
| 1842 |
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"虔": 853,
|
| 1843 |
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"虚": 1926,
|
| 1844 |
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"虫": 157,
|
| 1845 |
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"虹": 2037,
|
| 1846 |
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"虽": 1142,
|
| 1847 |
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"蚀": 1963,
|
| 1848 |
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"蚁": 2001,
|
| 1849 |
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"蚂": 1368,
|
| 1850 |
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"蚊": 1958,
|
| 1851 |
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"蛇": 1600,
|
| 1852 |
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"蛋": 354,
|
| 1853 |
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"蜂": 1552,
|
| 1854 |
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"蜃": 1713,
|
| 1855 |
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"蜒": 2335,
|
| 1856 |
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"蜗": 208,
|
| 1857 |
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"蜿": 1675,
|
| 1858 |
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"蝎": 194,
|
| 1859 |
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"蝽": 1843,
|
| 1860 |
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"融": 1639,
|
| 1861 |
+
"螺": 117,
|
| 1862 |
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"蠢": 1988,
|
| 1863 |
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"血": 294,
|
| 1864 |
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"行": 964,
|
| 1865 |
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"衔": 748,
|
| 1866 |
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"街": 794,
|
| 1867 |
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"衡": 127,
|
| 1868 |
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"衣": 1819,
|
| 1869 |
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"补": 1862,
|
| 1870 |
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"表": 1546,
|
| 1871 |
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"袋": 285,
|
| 1872 |
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"袖": 2366,
|
| 1873 |
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"袜": 1355,
|
| 1874 |
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"被": 214,
|
| 1875 |
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"袭": 745,
|
| 1876 |
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"裁": 1568,
|
| 1877 |
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"裂": 1742,
|
| 1878 |
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"装": 1294,
|
| 1879 |
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"裔": 767,
|
| 1880 |
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"裕": 1031,
|
| 1881 |
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"裙": 2048,
|
| 1882 |
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"裤": 2265,
|
| 1883 |
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"裸": 2213,
|
| 1884 |
+
"裹": 426,
|
| 1885 |
+
"西": 861,
|
| 1886 |
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"要": 900,
|
| 1887 |
+
"覆": 654,
|
| 1888 |
+
"见": 1008,
|
| 1889 |
+
"观": 2153,
|
| 1890 |
+
"规": 1833,
|
| 1891 |
+
"视": 2104,
|
| 1892 |
+
"览": 119,
|
| 1893 |
+
"觉": 700,
|
| 1894 |
+
"角": 1884,
|
| 1895 |
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"解": 1937,
|
| 1896 |
+
"触": 1961,
|
| 1897 |
+
"言": 1469,
|
| 1898 |
+
"詹": 249,
|
| 1899 |
+
"誉": 2120,
|
| 1900 |
+
"警": 1407,
|
| 1901 |
+
"计": 340,
|
| 1902 |
+
"订": 1890,
|
| 1903 |
+
"认": 1693,
|
| 1904 |
+
"讨": 762,
|
| 1905 |
+
"让": 241,
|
| 1906 |
+
"训": 1986,
|
| 1907 |
+
"议": 1530,
|
| 1908 |
+
"讯": 395,
|
| 1909 |
+
"记": 1723,
|
| 1910 |
+
"讲": 1014,
|
| 1911 |
+
"许": 2149,
|
| 1912 |
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"论": 171,
|
| 1913 |
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"讼": 959,
|
| 1914 |
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"讽": 936,
|
| 1915 |
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"设": 862,
|
| 1916 |
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"访": 1580,
|
| 1917 |
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"诀": 1432,
|
| 1918 |
+
"证": 330,
|
| 1919 |
+
"评": 295,
|
| 1920 |
+
"诅": 2350,
|
| 1921 |
+
"识": 1124,
|
| 1922 |
+
"诈": 1117,
|
| 1923 |
+
"诉": 1275,
|
| 1924 |
+
"诊": 1198,
|
| 1925 |
+
"词": 968,
|
| 1926 |
+
"译": 2351,
|
| 1927 |
+
"试": 359,
|
| 1928 |
+
"诗": 1893,
|
| 1929 |
+
"诚": 145,
|
| 1930 |
+
"话": 1362,
|
| 1931 |
+
"诞": 1397,
|
| 1932 |
+
"询": 2250,
|
| 1933 |
+
"该": 1574,
|
| 1934 |
+
"详": 1774,
|
| 1935 |
+
"诩": 2098,
|
| 1936 |
+
"语": 128,
|
| 1937 |
+
"误": 2332,
|
| 1938 |
+
"诱": 1711,
|
| 1939 |
+
"说": 512,
|
| 1940 |
+
"请": 974,
|
| 1941 |
+
"诸": 1557,
|
| 1942 |
+
"诺": 306,
|
| 1943 |
+
"读": 859,
|
| 1944 |
+
"课": 2046,
|
| 1945 |
+
"调": 400,
|
| 1946 |
+
"谈": 1196,
|
| 1947 |
+
"谋": 481,
|
| 1948 |
+
"谎": 1394,
|
| 1949 |
+
"谐": 2008,
|
| 1950 |
+
"谢": 2026,
|
| 1951 |
+
"谨": 842,
|
| 1952 |
+
"谷": 776,
|
| 1953 |
+
"豁": 849,
|
| 1954 |
+
"豆": 1976,
|
| 1955 |
+
"象": 1896,
|
| 1956 |
+
"豪": 866,
|
| 1957 |
+
"豹": 1930,
|
| 1958 |
+
"貌": 2157,
|
| 1959 |
+
"贝": 724,
|
| 1960 |
+
"负": 806,
|
| 1961 |
+
"贡": 1618,
|
| 1962 |
+
"财": 2279,
|
| 1963 |
+
"责": 180,
|
| 1964 |
+
"败": 1012,
|
| 1965 |
+
"货": 1716,
|
| 1966 |
+
"质": 945,
|
| 1967 |
+
"贪": 1166,
|
| 1968 |
+
"贫": 601,
|
| 1969 |
+
"贬": 1505,
|
| 1970 |
+
"购": 1097,
|
| 1971 |
+
"贯": 656,
|
| 1972 |
+
"贴": 2033,
|
| 1973 |
+
"贵": 1721,
|
| 1974 |
+
"贷": 807,
|
| 1975 |
+
"贸": 2348,
|
| 1976 |
+
"费": 2395,
|
| 1977 |
+
"贺": 415,
|
| 1978 |
+
"贼": 580,
|
| 1979 |
+
"贾": 402,
|
| 1980 |
+
"贿": 1617,
|
| 1981 |
+
"赁": 1531,
|
| 1982 |
+
"资": 768,
|
| 1983 |
+
"赌": 2240,
|
| 1984 |
+
"赏": 1582,
|
| 1985 |
+
"赔": 1985,
|
| 1986 |
+
"赖": 636,
|
| 1987 |
+
"赛": 392,
|
| 1988 |
+
"赞": 93,
|
| 1989 |
+
"赠": 2331,
|
| 1990 |
+
"赢": 661,
|
| 1991 |
+
"赤": 2021,
|
| 1992 |
+
"赫": 160,
|
| 1993 |
+
"走": 1499,
|
| 1994 |
+
"赴": 1145,
|
| 1995 |
+
"赶": 1824,
|
| 1996 |
+
"起": 1954,
|
| 1997 |
+
"趁": 2215,
|
| 1998 |
+
"超": 2268,
|
| 1999 |
+
"越": 1575,
|
| 2000 |
+
"趟": 848,
|
| 2001 |
+
"趣": 463,
|
| 2002 |
+
"足": 1402,
|
| 2003 |
+
"趾": 2140,
|
| 2004 |
+
"跃": 304,
|
| 2005 |
+
"跋": 647,
|
| 2006 |
+
"跌": 1894,
|
| 2007 |
+
"跑": 1090,
|
| 2008 |
+
"距": 1374,
|
| 2009 |
+
"跟": 1013,
|
| 2010 |
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"跨": 1039,
|
| 2011 |
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"路": 1205,
|
| 2012 |
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"跳": 513,
|
| 2013 |
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"践": 226,
|
| 2014 |
+
"踢": 1853,
|
| 2015 |
+
"踪": 1024,
|
| 2016 |
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"踵": 2374,
|
| 2017 |
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"蹄": 312,
|
| 2018 |
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"蹈": 328,
|
| 2019 |
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"身": 2324,
|
| 2020 |
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"躲": 178,
|
| 2021 |
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"车": 1784,
|
| 2022 |
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"轨": 1480,
|
| 2023 |
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"转": 517,
|
| 2024 |
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"轮": 1134,
|
| 2025 |
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"软": 511,
|
| 2026 |
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| 2027 |
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| 2028 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 2302 |
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|
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|
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|
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|
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|
| 2307 |
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|
| 2308 |
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|
| 2309 |
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|
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|
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|
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|
| 2313 |
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|
| 2314 |
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|
| 2315 |
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|
| 2316 |
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|
| 2317 |
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|
| 2318 |
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|
| 2319 |
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|
| 2320 |
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|
| 2321 |
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|
| 2322 |
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|
| 2323 |
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|
| 2324 |
+
"；": 1515,
|
| 2325 |
+
"？": 1335
|
| 2326 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,92 @@
|
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|
|
|
|
|
|
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|
|
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|
|
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|
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|
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|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "microsoft/speecht5_tts",
|
| 3 |
+
"activation_dropout": 0.1,
|
| 4 |
+
"apply_spec_augment": true,
|
| 5 |
+
"architectures": [
|
| 6 |
+
"SpeechT5ForTextToSpeech"
|
| 7 |
+
],
|
| 8 |
+
"attention_dropout": 0.1,
|
| 9 |
+
"bos_token_id": 0,
|
| 10 |
+
"conv_bias": false,
|
| 11 |
+
"conv_dim": [
|
| 12 |
+
512,
|
| 13 |
+
512,
|
| 14 |
+
512,
|
| 15 |
+
512,
|
| 16 |
+
512,
|
| 17 |
+
512,
|
| 18 |
+
512
|
| 19 |
+
],
|
| 20 |
+
"conv_kernel": [
|
| 21 |
+
10,
|
| 22 |
+
3,
|
| 23 |
+
3,
|
| 24 |
+
3,
|
| 25 |
+
3,
|
| 26 |
+
2,
|
| 27 |
+
2
|
| 28 |
+
],
|
| 29 |
+
"conv_stride": [
|
| 30 |
+
5,
|
| 31 |
+
2,
|
| 32 |
+
2,
|
| 33 |
+
2,
|
| 34 |
+
2,
|
| 35 |
+
2,
|
| 36 |
+
2
|
| 37 |
+
],
|
| 38 |
+
"decoder_attention_heads": 12,
|
| 39 |
+
"decoder_ffn_dim": 3072,
|
| 40 |
+
"decoder_layerdrop": 0.1,
|
| 41 |
+
"decoder_layers": 6,
|
| 42 |
+
"decoder_start_token_id": 2,
|
| 43 |
+
"encoder_attention_heads": 12,
|
| 44 |
+
"encoder_ffn_dim": 3072,
|
| 45 |
+
"encoder_layerdrop": 0.1,
|
| 46 |
+
"encoder_layers": 12,
|
| 47 |
+
"encoder_max_relative_position": 160,
|
| 48 |
+
"eos_token_id": 2,
|
| 49 |
+
"feat_extract_activation": "gelu",
|
| 50 |
+
"feat_extract_norm": "group",
|
| 51 |
+
"feat_proj_dropout": 0.0,
|
| 52 |
+
"guided_attention_loss_num_heads": 2,
|
| 53 |
+
"guided_attention_loss_scale": 10.0,
|
| 54 |
+
"guided_attention_loss_sigma": 0.4,
|
| 55 |
+
"hidden_act": "gelu",
|
| 56 |
+
"hidden_dropout": 0.1,
|
| 57 |
+
"hidden_size": 768,
|
| 58 |
+
"initializer_range": 0.02,
|
| 59 |
+
"is_encoder_decoder": true,
|
| 60 |
+
"layer_norm_eps": 1e-05,
|
| 61 |
+
"mask_feature_length": 10,
|
| 62 |
+
"mask_feature_min_masks": 0,
|
| 63 |
+
"mask_feature_prob": 0.0,
|
| 64 |
+
"mask_time_length": 10,
|
| 65 |
+
"mask_time_min_masks": 2,
|
| 66 |
+
"mask_time_prob": 0.05,
|
| 67 |
+
"max_length": 1876,
|
| 68 |
+
"max_speech_positions": 1876,
|
| 69 |
+
"max_text_positions": 600,
|
| 70 |
+
"model_type": "speecht5",
|
| 71 |
+
"num_conv_pos_embedding_groups": 16,
|
| 72 |
+
"num_conv_pos_embeddings": 128,
|
| 73 |
+
"num_feat_extract_layers": 7,
|
| 74 |
+
"num_mel_bins": 80,
|
| 75 |
+
"pad_token_id": 1,
|
| 76 |
+
"positional_dropout": 0.1,
|
| 77 |
+
"reduction_factor": 2,
|
| 78 |
+
"scale_embedding": false,
|
| 79 |
+
"speaker_embedding_dim": 512,
|
| 80 |
+
"speech_decoder_postnet_dropout": 0.5,
|
| 81 |
+
"speech_decoder_postnet_kernel": 5,
|
| 82 |
+
"speech_decoder_postnet_layers": 5,
|
| 83 |
+
"speech_decoder_postnet_units": 256,
|
| 84 |
+
"speech_decoder_prenet_dropout": 0.5,
|
| 85 |
+
"speech_decoder_prenet_layers": 2,
|
| 86 |
+
"speech_decoder_prenet_units": 256,
|
| 87 |
+
"torch_dtype": "float32",
|
| 88 |
+
"transformers_version": "4.33.0",
|
| 89 |
+
"use_cache": false,
|
| 90 |
+
"use_guided_attention_loss": true,
|
| 91 |
+
"vocab_size": 2403
|
| 92 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"decoder_start_token_id": 2,
|
| 5 |
+
"eos_token_id": 2,
|
| 6 |
+
"max_length": 1876,
|
| 7 |
+
"pad_token_id": 1,
|
| 8 |
+
"transformers_version": "4.33.0"
|
| 9 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": false,
|
| 3 |
+
"feature_extractor_type": "SpeechT5FeatureExtractor",
|
| 4 |
+
"feature_size": 1,
|
| 5 |
+
"fmax": 7600,
|
| 6 |
+
"fmin": 80,
|
| 7 |
+
"frame_signal_scale": 1.0,
|
| 8 |
+
"hop_length": 16,
|
| 9 |
+
"mel_floor": 1e-10,
|
| 10 |
+
"num_mel_bins": 80,
|
| 11 |
+
"padding_side": "right",
|
| 12 |
+
"padding_value": 0.0,
|
| 13 |
+
"processor_class": "SpeechT5Processor",
|
| 14 |
+
"reduction_factor": 2,
|
| 15 |
+
"return_attention_mask": true,
|
| 16 |
+
"sampling_rate": 16000,
|
| 17 |
+
"win_function": "hann_window",
|
| 18 |
+
"win_length": 64
|
| 19 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0095de0e9cc024527d48d4aa1077582fe3cdd6014bfc086d1867585a7ea503c2
|
| 3 |
+
size 585011517
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"mask_token": {
|
| 5 |
+
"content": "<mask>",
|
| 6 |
+
"lstrip": true,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false
|
| 10 |
+
},
|
| 11 |
+
"pad_token": "<pad>",
|
| 12 |
+
"unk_token": "<unk>"
|
| 13 |
+
}
|
spm_char.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fcc48f3e225f627b1641db410ceb0c8649bd2b0c982e150b03f8be3728ab560
|
| 3 |
+
size 238473
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"clean_up_tokenization_spaces": true,
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"model_max_length": 600,
|
| 6 |
+
"normalize": false,
|
| 7 |
+
"pad_token": "<pad>",
|
| 8 |
+
"processor_class": "SpeechT5Processor",
|
| 9 |
+
"sp_model_kwargs": {},
|
| 10 |
+
"tokenizer_class": "SpeechT5Tokenizer",
|
| 11 |
+
"unk_token": "<unk>"
|
| 12 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbbeee4799eee686c6defedb088ff2193ec2b8b226846b3280397d6220638823
|
| 3 |
+
size 4219
|