OK!
Browse files- README.md +63 -0
- config.json +107 -0
- model.safetensors +3 -0
- runs/Jul11_13-10-11_085319a33dc1/events.out.tfevents.1720703492.085319a33dc1.34.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: mit
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base_model: dbmdz/bert-base-turkish-uncased
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: bert-base-turkish-uncased-ner
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results: []
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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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# bert-base-turkish-uncased-ner
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2539
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- F1: 0.7738
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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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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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 593 | 0.2625 | 0.7593 |
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| 0.3541 | 2.0 | 1186 | 0.2497 | 0.7683 |
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| 0.3541 | 3.0 | 1779 | 0.2509 | 0.7660 |
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| 0.1847 | 4.0 | 2372 | 0.2539 | 0.7738 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "dbmdz/bert-base-turkish-uncased",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "B-CARDINAL",
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"1": "I-TITLE",
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"2": "I-CARDINAL",
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"3": "B-ORDINAL",
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"4": "B-LOC",
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"5": "I-QUANTITY",
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"6": "I-MONEY",
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"7": "I-GPE",
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"8": "I-PERCENT",
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"9": "I-LAW",
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"10": "I-NORP",
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"11": "I-EVENT",
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"12": "I-ORDINAL",
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"13": "B-EVENT",
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"14": "I-DATE",
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"15": "B-QUANTITY",
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"16": "I-FAC",
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"17": "B-PERSON",
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"18": "B-FAC",
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"19": "I-TIME",
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"20": "B-ORG",
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"21": "B-TITLE",
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"22": "I-LANGUAGE",
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"23": "I-PRODUCT",
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"24": "I-ORG",
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"25": "B-PERCENT",
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"26": "B-LAW",
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"27": "B-LANGUAGE",
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"28": "B-GPE",
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"29": "B-TIME",
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"30": "B-WORK_OF_ART",
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"31": "B-PRODUCT",
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"32": "O",
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"33": "I-WORK_OF_ART",
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"34": "B-DATE",
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"35": "I-PERSON",
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"36": "B-MONEY",
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"37": "I-LOC",
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"38": "B-NORP"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-CARDINAL": 0,
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"B-DATE": 34,
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"B-EVENT": 13,
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"B-FAC": 18,
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"B-GPE": 28,
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"B-LANGUAGE": 27,
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"B-LAW": 26,
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"B-LOC": 4,
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"B-MONEY": 36,
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"B-NORP": 38,
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"B-ORDINAL": 3,
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"B-ORG": 20,
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"B-PERCENT": 25,
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"B-PERSON": 17,
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"B-PRODUCT": 31,
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"B-QUANTITY": 15,
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"B-TIME": 29,
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"B-TITLE": 21,
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"B-WORK_OF_ART": 30,
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"I-CARDINAL": 2,
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"I-DATE": 14,
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"I-EVENT": 11,
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"I-FAC": 16,
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"I-GPE": 7,
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"I-LANGUAGE": 22,
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"I-LAW": 9,
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"I-LOC": 37,
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"I-MONEY": 6,
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"I-NORP": 10,
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"I-ORDINAL": 12,
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"I-ORG": 24,
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"I-PERCENT": 8,
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"I-PERSON": 35,
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"I-PRODUCT": 23,
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"I-QUANTITY": 5,
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"I-TIME": 19,
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"I-TITLE": 1,
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"I-WORK_OF_ART": 33,
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"O": 32
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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| 101 |
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.41.2",
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| 104 |
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88f370b8bc4db6928e82bd7e00385d96702f4eb6a3a70902c3d1b7f810b390cd
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size 440250324
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runs/Jul11_13-10-11_085319a33dc1/events.out.tfevents.1720703492.085319a33dc1.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:64d26c588e5516c640b58ffc71acd1fe865874620245373043b6c7fcb10c3498
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size 8422
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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},
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"1": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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| 15 |
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"rstrip": false,
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
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},
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| 19 |
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"2": {
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"content": "[CLS]",
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| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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| 25 |
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"special": true
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| 26 |
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},
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| 27 |
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"3": {
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| 28 |
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"content": "[SEP]",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": false,
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| 31 |
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"rstrip": false,
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| 32 |
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"single_word": false,
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| 33 |
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"special": true
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| 34 |
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},
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| 35 |
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"4": {
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| 36 |
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"content": "[MASK]",
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| 37 |
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"lstrip": false,
|
| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
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| 40 |
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"single_word": false,
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| 41 |
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"special": true
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| 42 |
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}
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| 43 |
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},
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| 44 |
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"clean_up_tokenization_spaces": true,
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| 45 |
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"cls_token": "[CLS]",
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| 46 |
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"do_basic_tokenize": true,
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| 47 |
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"do_lower_case": true,
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| 48 |
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"mask_token": "[MASK]",
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| 49 |
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"max_len": 512,
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| 50 |
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"model_max_length": 512,
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| 51 |
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"never_split": null,
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| 52 |
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"pad_token": "[PAD]",
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| 53 |
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"sep_token": "[SEP]",
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| 54 |
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"strip_accents": null,
|
| 55 |
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"tokenize_chinese_chars": true,
|
| 56 |
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"tokenizer_class": "BertTokenizer",
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| 57 |
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0db07c996371bd378cf2fe796e657c53e7db8dd13603f1c594e8ba6e758419ad
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size 5112
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vocab.txt
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