Sentence Similarity
sentence-transformers
Safetensors
Japanese
luke
linktransformer
tabular-classification
Instructions to use dell-research-harvard/lt-wikidata-comp-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dell-research-harvard/lt-wikidata-comp-ja with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dell-research-harvard/lt-wikidata-comp-ja") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit ·
594f96a
1
Parent(s): bee4cb6
Modified validation and training for linktransformer model
Browse files- .gitattributes +2 -0
- 1_Pooling/config.json +3 -1
- LT_training_config.json +5 -2
- README.md +17 -7
- config.json +2 -2
- model.safetensors +3 -0
- special_tokens_map.json +52 -8
- tokenizer_config.json +49 -51
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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.git/lfs/objects/45/1d/451d07b21cc069b7c2c7e8f6624f52da26f0e246f90abaedc8749782b54b0adf filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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.git/lfs/objects/45/1d/451d07b21cc069b7c2c7e8f6624f52da26f0e246f90abaedc8749782b54b0adf filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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.git/lfs/objects/1c/44/1c44e50620136eaacd05a96a354f8255cf1be856117f155c8786525b6b9f11a1 filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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}
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false
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LT_training_config.json
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"train_batch_size": 64,
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"num_epochs": 100,
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"warm_up_perc": 1,
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"learning_rate": 2e-
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"val_perc": 0.2,
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"wandb_names": {
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"project": "linkage",
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},
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"add_pooling_layer": false,
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"large_val": true,
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"eval_steps_perc": 0.
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"test_at_end": true,
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"save_val_test_pickles": true,
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"eval_type": "retrieval",
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"training_dataset": "dataframe",
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"base_model_path": "oshizo/sbert-jsnli-luke-japanese-base-lite",
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"train_batch_size": 64,
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"num_epochs": 100,
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"warm_up_perc": 1,
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"learning_rate": 2e-05,
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"loss_type": "supcon",
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"val_perc": 0.2,
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"wandb_names": {
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"project": "linkage",
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},
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"add_pooling_layer": false,
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"large_val": true,
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"eval_steps_perc": 0.5,
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"test_at_end": true,
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"save_val_test_pickles": true,
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"val_query_prop": 0.5,
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"loss_params": {},
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"eval_type": "retrieval",
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"training_dataset": "dataframe",
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"base_model_path": "oshizo/sbert-jsnli-luke-japanese-base-lite",
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README.md
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# dell-research-harvard/lt-wikidata-comp-ja
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This is a [LinkTransformer](https://github.
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It is designed for quick and easy record linkage (entity-matching) through the LinkTransformer package. The tasks include clustering, deduplication, linking, aggregation and more.
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Notwithstanding that, it can be used for any sentence similarity task within the sentence-transformers framework as well.
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It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length
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```
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{'batch_size': 64, 'sampler': 'torch.utils.data.dataloader._InfiniteConstantSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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```
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{
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"epochs": 100,
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"evaluation_steps":
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"evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"lr": 2e-
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps":
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"weight_decay": 0.01
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}
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```
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LinkTransformer(
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(0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: LukeModel
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(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
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)
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```
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## Citing & Authors
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-
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# dell-research-harvard/lt-wikidata-comp-ja
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This is a [LinkTransformer](https://linktransformer.github.io/) model. At its core this model this is a sentence transformer model [sentence-transformers](https://www.SBERT.net) model- it just wraps around the class.
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It is designed for quick and easy record linkage (entity-matching) through the LinkTransformer package. The tasks include clustering, deduplication, linking, aggregation and more.
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Notwithstanding that, it can be used for any sentence similarity task within the sentence-transformers framework as well.
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It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 562 with parameters:
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```
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{'batch_size': 64, 'sampler': 'torch.utils.data.dataloader._InfiniteConstantSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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```
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{
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"epochs": 100,
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"evaluation_steps": 281,
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"evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"lr": 2e-05
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 56200,
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"weight_decay": 0.01
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}
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```
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LinkTransformer(
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(0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: LukeModel
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(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False})
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)
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```
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## Citing & Authors
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```
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@misc{arora2023linktransformer,
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title={LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models},
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author={Abhishek Arora and Melissa Dell},
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year={2023},
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eprint={2309.00789},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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config.json
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{
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"_name_or_path": "models/linkage_ja_aliases
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"architectures": [
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"LukeModel"
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 1,
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"use_cache": true,
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"use_entity_aware_attention": true,
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"_name_or_path": "models/linkage_ja_aliases",
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"transformers_version": "4.35.1",
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"type_vocab_size": 1,
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"use_cache": true,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8f7cb65577aa50b1c49fd5e0cb7beef2d858cdd37baa16adc932ac5370c60b0
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size 532299592
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special_tokens_map.json
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tokenizer_config.json
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| 67 |
],
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| 68 |
"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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@@ -77,7 +81,8 @@
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| 77 |
"lstrip": false,
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| 78 |
"normalized": true,
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"rstrip": false,
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-
"single_word": false
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},
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"entity_token_2": {
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"__type": "AddedToken",
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@@ -85,18 +90,12 @@
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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-
"single_word": false
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},
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| 90 |
"entity_unk_token": "[UNK]",
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"eos_token": "</s>",
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-
"mask_token":
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-
"__type": "AddedToken",
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-
"content": "<mask>",
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-
"lstrip": true,
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-
"normalized": true,
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-
"rstrip": false,
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| 98 |
-
"single_word": false
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| 99 |
-
},
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| 100 |
"max_entity_length": 32,
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| 101 |
"max_mention_length": 30,
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| 102 |
"model_max_length": 512,
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@@ -105,6 +104,5 @@
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| 105 |
"sp_model_kwargs": {},
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| 106 |
"task": null,
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| 107 |
"tokenizer_class": "MLukeTokenizer",
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| 108 |
-
"tokenizer_file": "models/luke-japanese/hf_luke_japanese_lite_epoch20/tokenizer.json",
|
| 109 |
"unk_token": "<unk>"
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| 110 |
}
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| 1 |
{
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| 2 |
+
"added_tokens_decoder": {
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| 3 |
+
"0": {
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| 4 |
+
"content": "<s>",
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| 5 |
"lstrip": false,
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| 6 |
+
"normalized": false,
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| 7 |
"rstrip": false,
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| 8 |
+
"single_word": false,
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| 9 |
+
"special": true
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| 10 |
},
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| 11 |
+
"1": {
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| 12 |
+
"content": "<pad>",
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"lstrip": false,
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| 14 |
+
"normalized": false,
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| 15 |
"rstrip": false,
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| 16 |
+
"single_word": false,
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| 17 |
+
"special": true
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| 18 |
},
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| 19 |
+
"2": {
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| 20 |
+
"content": "</s>",
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| 21 |
"lstrip": false,
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| 22 |
+
"normalized": false,
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| 23 |
"rstrip": false,
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| 24 |
+
"single_word": false,
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| 25 |
+
"special": true
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| 26 |
},
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+
"3": {
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| 28 |
+
"content": "<unk>",
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| 29 |
"lstrip": false,
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| 30 |
+
"normalized": false,
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| 31 |
"rstrip": false,
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| 32 |
+
"single_word": false,
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| 33 |
+
"special": true
|
| 34 |
},
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| 35 |
+
"32769": {
|
| 36 |
+
"content": "<mask>",
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| 37 |
+
"lstrip": true,
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| 38 |
"normalized": true,
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| 39 |
"rstrip": false,
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| 40 |
+
"single_word": false,
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| 41 |
+
"special": true
|
| 42 |
},
|
| 43 |
+
"32770": {
|
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|
| 44 |
"content": "<ent>",
|
| 45 |
"lstrip": false,
|
| 46 |
"normalized": true,
|
| 47 |
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
},
|
| 51 |
+
"32771": {
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| 52 |
"content": "<ent2>",
|
| 53 |
"lstrip": false,
|
| 54 |
"normalized": true,
|
| 55 |
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
}
|
| 59 |
+
},
|
| 60 |
+
"additional_special_tokens": [
|
| 61 |
+
"<ent>",
|
| 62 |
+
"<ent2>",
|
| 63 |
+
"<ent>",
|
| 64 |
+
"<ent2>",
|
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+
"<ent>",
|
| 66 |
+
"<ent2>",
|
| 67 |
+
"<ent>",
|
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+
"<ent2>",
|
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+
"<ent>",
|
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+
"<ent2>"
|
| 71 |
],
|
| 72 |
"bos_token": "<s>",
|
| 73 |
"clean_up_tokenization_spaces": true,
|
|
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|
| 81 |
"lstrip": false,
|
| 82 |
"normalized": true,
|
| 83 |
"rstrip": false,
|
| 84 |
+
"single_word": false,
|
| 85 |
+
"special": false
|
| 86 |
},
|
| 87 |
"entity_token_2": {
|
| 88 |
"__type": "AddedToken",
|
|
|
|
| 90 |
"lstrip": false,
|
| 91 |
"normalized": true,
|
| 92 |
"rstrip": false,
|
| 93 |
+
"single_word": false,
|
| 94 |
+
"special": false
|
| 95 |
},
|
| 96 |
"entity_unk_token": "[UNK]",
|
| 97 |
"eos_token": "</s>",
|
| 98 |
+
"mask_token": "<mask>",
|
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|
| 99 |
"max_entity_length": 32,
|
| 100 |
"max_mention_length": 30,
|
| 101 |
"model_max_length": 512,
|
|
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|
| 104 |
"sp_model_kwargs": {},
|
| 105 |
"task": null,
|
| 106 |
"tokenizer_class": "MLukeTokenizer",
|
|
|
|
| 107 |
"unk_token": "<unk>"
|
| 108 |
}
|