a-n-a-n-y-a-123
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Parent(s):
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a-n-a-n-y-a-123/finetuned-ner-model-bert-uncased
Browse files- README.md +93 -0
- config.json +48 -0
- model.safetensors +3 -0
- runs/May30_05-22-40_b0455487b8e1/events.out.tfevents.1717046560.b0455487b8e1.698.0 +3 -0
- runs/May30_05-22-40_b0455487b8e1/events.out.tfevents.1717048100.b0455487b8e1.698.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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datasets:
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- conll2003
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: finetuned_ner_model
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: conll2003
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type: conll2003
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config: conll2003
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split: validation
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args: conll2003
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metrics:
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- name: Precision
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type: precision
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value: 0.9407259407259407
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- name: Recall
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type: recall
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value: 0.9513386091934669
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- name: F1
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type: f1
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value: 0.9460025115110924
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- name: Accuracy
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type: accuracy
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value: 0.9893461620863604
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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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# finetuned_ner_model
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0474
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- Precision: 0.9407
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- Recall: 0.9513
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- F1: 0.9460
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- Accuracy: 0.9893
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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: 16
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- eval_batch_size: 16
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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 | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.1704 | 1.0 | 878 | 0.0490 | 0.9249 | 0.9348 | 0.9298 | 0.9865 |
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| 0.0369 | 2.0 | 1756 | 0.0492 | 0.9307 | 0.9471 | 0.9388 | 0.9874 |
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| 0.0185 | 3.0 | 2634 | 0.0447 | 0.9430 | 0.9520 | 0.9475 | 0.9893 |
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| 0.0118 | 4.0 | 3512 | 0.0474 | 0.9407 | 0.9513 | 0.9460 | 0.9893 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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": "bert-base-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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"gradient_checkpointing": false,
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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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8
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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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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.41.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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 sha256:8694477c597082e2a0cdce008f2cffd7fdb956c8db83fdb10aed116fac5907bb
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size 435617620
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runs/May30_05-22-40_b0455487b8e1/events.out.tfevents.1717046560.b0455487b8e1.698.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:54b87eb808778346452829055aecb936412da1c0aa7f262c6bfc748337fddfad
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size 8918
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runs/May30_05-22-40_b0455487b8e1/events.out.tfevents.1717048100.b0455487b8e1.698.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:94e7ba3ae5b7bce4306f8b84f80a0a5a0e2f07258d12dee9058c5e9dce1406ff
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size 560
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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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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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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 sha256:10eb34be1c87fd2aa2ca7d67c2dab21ae39c4538b4b78d6edb1aa88a8b9226d3
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size 5112
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vocab.txt
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