Commit
•
2918e5d
1
Parent(s):
49bc630
Model save
Browse files- .gitattributes +1 -0
- README.md +91 -0
- config.json +75 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/config.json +36 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/generation_config.json +10 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/model.safetensors +3 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/special_tokens_map.json +23 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/spiece.model +3 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/tokenizer.json +3 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/tokenizer_config.json +37 -0
- csebuetnlp/xlsum,_6051_mt5_summarize_japanese/training_args.bin +3 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/config.json +75 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/generation_config.json +11 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/model.safetensors +3 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/special_tokens_map.json +9 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/tokenizer.json +0 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/tokenizer_config.json +67 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/training_args.bin +3 -0
- csebuetnlp/xlsum,_6615_bart-base-chinese/vocab.txt +0 -0
- daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/config.json +56 -0
- daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/generation_config.json +8 -0
- daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/model.safetensors +3 -0
- daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/special_tokens_map.json +37 -0
- daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/tokenizer.json +0 -0
- daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/tokenizer_config.json +1844 -0
- daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/training_args.bin +3 -0
- daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/config.json +56 -0
- daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/generation_config.json +8 -0
- daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/model.safetensors +3 -0
- daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/special_tokens_map.json +37 -0
- daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/tokenizer.json +0 -0
- daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/tokenizer_config.json +1844 -0
- daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/training_args.bin +3 -0
- generation_config.json +11 -0
- model.safetensors +3 -0
- special_tokens_map.json +9 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +67 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: fnlp/bart-base-chinese
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tags:
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- generated_from_trainer
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datasets:
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- xlsum
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metrics:
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- rouge
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model-index:
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- name: bart-base-chinese-6615-chinese
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: xlsum
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type: xlsum
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config: chinese_traditional
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split: validation
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args: chinese_traditional
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metrics:
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- name: Rouge1
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type: rouge
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value: 0.0774
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-base-chinese-6615-chinese
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This model is a fine-tuned version of [fnlp/bart-base-chinese](https://huggingface.co/fnlp/bart-base-chinese) on the xlsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8576
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- Rouge1: 0.0774
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- Rouge2: 0.0179
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- Rougel: 0.0772
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- Rougelsum: 0.077
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- Gen Len: 19.9552
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 1.1216 | 0.86 | 500 | 0.9150 | 0.0523 | 0.0113 | 0.0521 | 0.052 | 19.9345 |
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| 1.0346 | 1.71 | 1000 | 0.8817 | 0.0585 | 0.0119 | 0.0583 | 0.0582 | 19.9535 |
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| 1.0063 | 2.57 | 1500 | 0.8624 | 0.0603 | 0.0112 | 0.0598 | 0.0599 | 19.9512 |
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| 0.9219 | 3.42 | 2000 | 0.8592 | 0.0715 | 0.0145 | 0.071 | 0.0712 | 19.9535 |
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| 0.8757 | 4.28 | 2500 | 0.8577 | 0.072 | 0.0153 | 0.0717 | 0.0717 | 19.9636 |
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| 0.8832 | 5.14 | 3000 | 0.8567 | 0.0721 | 0.0157 | 0.0717 | 0.0718 | 19.9493 |
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| 0.8788 | 5.99 | 3500 | 0.8498 | 0.0763 | 0.0173 | 0.0759 | 0.0759 | 19.9565 |
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| 0.8659 | 6.85 | 4000 | 0.8513 | 0.076 | 0.017 | 0.0756 | 0.0754 | 19.9546 |
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| 0.7802 | 7.71 | 4500 | 0.8563 | 0.0772 | 0.0185 | 0.077 | 0.0768 | 19.9525 |
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| 0.8114 | 8.56 | 5000 | 0.8562 | 0.0769 | 0.0169 | 0.0766 | 0.0764 | 19.954 |
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| 0.7715 | 9.42 | 5500 | 0.8576 | 0.0774 | 0.0179 | 0.0772 | 0.077 | 19.9552 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "fnlp/bart-base-chinese",
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"BartForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 101,
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"classif_dropout": 0.1,
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"classifier_dropout": 0.0,
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"d_model": 768,
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"decoder_attention_heads": 12,
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"decoder_ffn_dim": 3072,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"decoder_start_token_id": 102,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 12,
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"encoder_ffn_dim": 3072,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 102,
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"forced_eos_token_id": 102,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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"normalize_embedding": true,
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"num_beams": 4,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"scale_embedding": false,
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"task_specific_params": {
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"summarization": {
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"length_penalty": 1.0,
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"max_length": 128,
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"min_length": 12,
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"num_beams": 4
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},
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"summarization_cnn": {
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"length_penalty": 2.0,
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"max_length": 142,
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"min_length": 56,
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"num_beams": 4
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},
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"summarization_xsum": {
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"length_penalty": 1.0,
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"max_length": 62,
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"min_length": 11,
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"num_beams": 6
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}
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},
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| 70 |
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"tokenizer_class": "BertTokenizer",
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"torch_dtype": "float32",
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| 72 |
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 51271
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}
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/config.json
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{
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"_name_or_path": "tsmatz/mt5_summarize_japanese",
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"architectures": [
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"MT5ForConditionalGeneration"
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],
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| 6 |
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"classifier_dropout": 0.0,
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"d_ff": 1024,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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| 12 |
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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| 15 |
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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| 17 |
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"length_penalty": 0.6,
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"max_length": 128,
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"model_type": "mt5",
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| 22 |
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"no_repeat_ngram_size": 2,
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| 23 |
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"num_beams": 15,
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| 24 |
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"num_decoder_layers": 8,
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"num_heads": 6,
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"num_layers": 8,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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| 29 |
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"relative_attention_num_buckets": 32,
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| 30 |
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"tie_word_embeddings": false,
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| 31 |
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"tokenizer_class": "T5Tokenizer",
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| 32 |
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"torch_dtype": "float32",
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| 33 |
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"transformers_version": "4.36.2",
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| 34 |
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"use_cache": true,
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| 35 |
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"vocab_size": 250112
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}
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/generation_config.json
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/model.safetensors
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/special_tokens_map.json
ADDED
|
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/spiece.model
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/tokenizer.json
ADDED
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size 16315213
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csebuetnlp/xlsum,_6051_mt5_summarize_japanese/tokenizer_config.json
ADDED
|
@@ -0,0 +1,37 @@
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|
| 37 |
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|
csebuetnlp/xlsum,_6051_mt5_summarize_japanese/training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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size 4856
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csebuetnlp/xlsum,_6615_bart-base-chinese/config.json
ADDED
|
@@ -0,0 +1,75 @@
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|
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| 32 |
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|
| 33 |
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|
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|
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| 74 |
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"vocab_size": 51271
|
| 75 |
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}
|
csebuetnlp/xlsum,_6615_bart-base-chinese/generation_config.json
ADDED
|
@@ -0,0 +1,11 @@
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| 1 |
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| 2 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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"transformers_version": "4.36.2"
|
| 11 |
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}
|
csebuetnlp/xlsum,_6615_bart-base-chinese/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
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| 3 |
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csebuetnlp/xlsum,_6615_bart-base-chinese/special_tokens_map.json
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
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|
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| 4 |
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| 5 |
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| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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|
csebuetnlp/xlsum,_6615_bart-base-chinese/tokenizer.json
ADDED
|
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|
|
|
csebuetnlp/xlsum,_6615_bart-base-chinese/tokenizer_config.json
ADDED
|
@@ -0,0 +1,67 @@
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|
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| 20 |
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|
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|
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| 30 |
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| 31 |
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| 33 |
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|
| 34 |
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|
| 42 |
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|
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|
| 50 |
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|
| 51 |
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|
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|
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|
| 56 |
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|
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|
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|
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|
| 65 |
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|
| 66 |
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|
| 67 |
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}
|
csebuetnlp/xlsum,_6615_bart-base-chinese/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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csebuetnlp/xlsum,_6615_bart-base-chinese/vocab.txt
ADDED
|
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|
|
|
daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/config.json
ADDED
|
@@ -0,0 +1,56 @@
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "gogamza/kobart-base-v2",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"activation_function": "gelu",
|
| 5 |
+
"add_bias_logits": false,
|
| 6 |
+
"add_final_layer_norm": false,
|
| 7 |
+
"architectures": [
|
| 8 |
+
"BartForConditionalGeneration"
|
| 9 |
+
],
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"author": "Heewon Jeon([email protected])",
|
| 12 |
+
"bos_token_id": 1,
|
| 13 |
+
"classif_dropout": 0.1,
|
| 14 |
+
"classifier_dropout": 0.1,
|
| 15 |
+
"d_model": 768,
|
| 16 |
+
"decoder_attention_heads": 16,
|
| 17 |
+
"decoder_ffn_dim": 3072,
|
| 18 |
+
"decoder_layerdrop": 0.0,
|
| 19 |
+
"decoder_layers": 6,
|
| 20 |
+
"decoder_start_token_id": 1,
|
| 21 |
+
"do_blenderbot_90_layernorm": false,
|
| 22 |
+
"dropout": 0.1,
|
| 23 |
+
"encoder_attention_heads": 16,
|
| 24 |
+
"encoder_ffn_dim": 3072,
|
| 25 |
+
"encoder_layerdrop": 0.0,
|
| 26 |
+
"encoder_layers": 6,
|
| 27 |
+
"eos_token_id": 1,
|
| 28 |
+
"extra_pos_embeddings": 2,
|
| 29 |
+
"force_bos_token_to_be_generated": false,
|
| 30 |
+
"forced_eos_token_id": 1,
|
| 31 |
+
"gradient_checkpointing": false,
|
| 32 |
+
"id2label": {
|
| 33 |
+
"0": "NEGATIVE",
|
| 34 |
+
"1": "POSITIVE"
|
| 35 |
+
},
|
| 36 |
+
"init_std": 0.02,
|
| 37 |
+
"is_encoder_decoder": true,
|
| 38 |
+
"kobart_version": 2.0,
|
| 39 |
+
"label2id": {
|
| 40 |
+
"NEGATIVE": 0,
|
| 41 |
+
"POSITIVE": 1
|
| 42 |
+
},
|
| 43 |
+
"max_position_embeddings": 1026,
|
| 44 |
+
"model_type": "bart",
|
| 45 |
+
"normalize_before": false,
|
| 46 |
+
"normalize_embedding": true,
|
| 47 |
+
"num_hidden_layers": 6,
|
| 48 |
+
"pad_token_id": 3,
|
| 49 |
+
"scale_embedding": false,
|
| 50 |
+
"static_position_embeddings": false,
|
| 51 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 52 |
+
"torch_dtype": "float32",
|
| 53 |
+
"transformers_version": "4.36.2",
|
| 54 |
+
"use_cache": true,
|
| 55 |
+
"vocab_size": 30000
|
| 56 |
+
}
|
daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/generation_config.json
ADDED
|
@@ -0,0 +1,8 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"decoder_start_token_id": 1,
|
| 4 |
+
"eos_token_id": 1,
|
| 5 |
+
"forced_eos_token_id": 1,
|
| 6 |
+
"pad_token_id": 3,
|
| 7 |
+
"transformers_version": "4.36.2"
|
| 8 |
+
}
|
daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1af6cd17a97387ac49f90778f5e90c94235f77de1088fabb586dafaede09c155
|
| 3 |
+
size 495589768
|
daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "</s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"mask_token": {
|
| 17 |
+
"content": "<mask>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"pad_token": {
|
| 24 |
+
"content": "<pad>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "<unk>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/tokenizer_config.json
ADDED
|
@@ -0,0 +1,1844 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "</s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "<usr>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<pad>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "<sys>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"5": {
|
| 44 |
+
"content": "<unk>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"6": {
|
| 52 |
+
"content": "<mask>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"7": {
|
| 60 |
+
"content": "<unused0>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"8": {
|
| 68 |
+
"content": "<unused1>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"9": {
|
| 76 |
+
"content": "<unused2>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"10": {
|
| 84 |
+
"content": "<unused3>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"11": {
|
| 92 |
+
"content": "<unused4>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"12": {
|
| 100 |
+
"content": "<unused5>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"13": {
|
| 108 |
+
"content": "<unused6>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"14": {
|
| 116 |
+
"content": "<unused7>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"15": {
|
| 124 |
+
"content": "<unused8>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"16": {
|
| 132 |
+
"content": "<unused9>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
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"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"17": {
|
| 140 |
+
"content": "<unused10>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"18": {
|
| 148 |
+
"content": "<unused11>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"19": {
|
| 156 |
+
"content": "<unused12>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"20": {
|
| 164 |
+
"content": "<unused13>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"21": {
|
| 172 |
+
"content": "<unused14>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"22": {
|
| 180 |
+
"content": "<unused15>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"23": {
|
| 188 |
+
"content": "<unused16>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
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"24": {
|
| 196 |
+
"content": "<unused17>",
|
| 197 |
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"lstrip": false,
|
| 198 |
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"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"25": {
|
| 204 |
+
"content": "<unused18>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
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"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
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|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
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"26": {
|
| 212 |
+
"content": "<unused19>",
|
| 213 |
+
"lstrip": false,
|
| 214 |
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|
| 215 |
+
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|
| 216 |
+
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|
| 217 |
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|
| 218 |
+
},
|
| 219 |
+
"27": {
|
| 220 |
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"content": "<unused20>",
|
| 221 |
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"lstrip": false,
|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
+
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|
| 226 |
+
},
|
| 227 |
+
"28": {
|
| 228 |
+
"content": "<unused21>",
|
| 229 |
+
"lstrip": false,
|
| 230 |
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"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
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|
| 233 |
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|
| 234 |
+
},
|
| 235 |
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"29": {
|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
+
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|
| 242 |
+
},
|
| 243 |
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daekeun-ml/naver-news-summarization-ko_159_kobart-base-v2/training_args.bin
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size 4856
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daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/config.json
ADDED
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@@ -0,0 +1,56 @@
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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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|
| 33 |
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"0": "NEGATIVE",
|
| 34 |
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"1": "POSITIVE"
|
| 35 |
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},
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|
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|
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|
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|
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|
| 53 |
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|
| 54 |
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"use_cache": true,
|
| 55 |
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"vocab_size": 30000
|
| 56 |
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}
|
daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/generation_config.json
ADDED
|
@@ -0,0 +1,8 @@
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{
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|
| 8 |
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|
daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:802bebd33f080048b8fa3033cfa8d371c07fbb46a9398cc90e90fddd84f39c68
|
| 3 |
+
size 495589768
|
daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
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| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "</s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"mask_token": {
|
| 17 |
+
"content": "<mask>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"pad_token": {
|
| 24 |
+
"content": "<pad>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "<unk>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/tokenizer_config.json
ADDED
|
@@ -0,0 +1,1844 @@
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| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
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|
| 5 |
+
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|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
+
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|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "</s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "<usr>",
|
| 21 |
+
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
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|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
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|
| 29 |
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|
| 30 |
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|
| 31 |
+
"rstrip": false,
|
| 32 |
+
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|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "<sys>",
|
| 37 |
+
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|
| 38 |
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|
| 39 |
+
"rstrip": false,
|
| 40 |
+
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|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
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"5": {
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
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"6": {
|
| 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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|
| 58 |
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},
|
| 59 |
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"7": {
|
| 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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"9": {
|
| 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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"10": {
|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 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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|
| 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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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 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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"20": {
|
| 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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|
| 171 |
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"21": {
|
| 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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},
|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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},
|
| 187 |
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"23": {
|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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},
|
| 195 |
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"24": {
|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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},
|
| 203 |
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"25": {
|
| 204 |
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|
| 205 |
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|
| 206 |
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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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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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},
|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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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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|
| 269 |
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|
| 270 |
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|
| 271 |
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| 273 |
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| 277 |
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| 281 |
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| 284 |
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| 286 |
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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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| 297 |
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|
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| 299 |
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|
| 300 |
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|
| 301 |
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|
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|
| 309 |
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|
| 310 |
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|
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| 313 |
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|
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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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|
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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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|
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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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| 338 |
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| 339 |
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|
| 340 |
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|
| 341 |
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|
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|
| 344 |
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| 345 |
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|
| 346 |
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|
| 347 |
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|
| 348 |
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|
| 349 |
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|
| 350 |
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|
| 351 |
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| 352 |
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| 353 |
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| 354 |
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| 355 |
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|
| 356 |
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| 357 |
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| 358 |
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daekeun-ml/naver-news-summarization-ko_2932_kobart-base-v2/training_args.bin
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spiece.model
ADDED
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tokenizer_config.json
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training_args.bin
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