djsull/aha_classification
Browse files- README.md +66 -0
- config.json +40 -0
- model.safetensors +3 -0
- runs/Sep04_07-38-42_129-146-79-76/events.out.tfevents.1725435522.129-146-79-76.36835.0 +3 -0
- runs/Sep04_07-38-42_129-146-79-76/events.out.tfevents.1725435630.129-146-79-76.36835.1 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +59 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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base_model: klue/roberta-small
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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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- accuracy
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model-index:
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- name: aha_classification
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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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# aha_classification
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This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0295
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- F1: 1.0
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- Roc Auc: 1.0
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- Accuracy: 1.0
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| No log | 1.0 | 50 | 0.1202 | 0.9969 | 0.9981 | 0.9929 |
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| No log | 2.0 | 100 | 0.0560 | 0.9969 | 0.9981 | 0.9929 |
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| No log | 3.0 | 150 | 0.0381 | 0.9969 | 0.9981 | 0.9929 |
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| No log | 4.0 | 200 | 0.0295 | 1.0 | 1.0 | 1.0 |
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| No log | 5.0 | 250 | 0.0279 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.0+cu121
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- Datasets 2.18.0
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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": "klue/roberta-small",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "Normal",
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"1": "Service",
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"2": "Token"
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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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"Normal": 0,
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"Service": 1,
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"Token": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"tokenizer_class": "BertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"type_vocab_size": 1,
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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:f1cbc87f7b18c502cedd4170272203324299be81cb3b60691d95a85ad056584d
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size 272385276
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runs/Sep04_07-38-42_129-146-79-76/events.out.tfevents.1725435522.129-146-79-76.36835.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:de824210d46c3b218ed6d8ab39b570a748b5253976548f9bc3e077631ceaac64
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size 7554
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runs/Sep04_07-38-42_129-146-79-76/events.out.tfevents.1725435630.129-146-79-76.36835.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:161d26f022bbc44fe89bc72cd79cd0479ad7dd0d2e3e943069834b8eaaa1df39
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size 508
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special_tokens_map.json
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{
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"bos_token": {
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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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},
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"single_word": false
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},
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"eos_token": {
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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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},
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"mask_token": {
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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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},
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"pad_token": {
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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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},
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"sep_token": {
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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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},
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"unk_token": {
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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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}
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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": "[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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"1": {
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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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"2": {
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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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"3": {
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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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"4": {
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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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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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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 sha256:07f22ec80f5c53070fab174cfe020f957d287267c08715a5a64dd2d369202243
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size 5112
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vocab.txt
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