Model save
Browse files- README.md +5 -4
- config.json +27 -15
- model.safetensors +2 -2
- special_tokens_map.json +5 -35
- tokenizer.json +0 -0
- tokenizer_config.json +7 -9
- training_args.bin +1 -1
- vocab.txt +0 -0
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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@@ -11,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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# my_fancy_model
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 |
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| No log | 2.0 |
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### Framework versions
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---
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base_model: yiyanghkust/finbert-fls
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tags:
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- generated_from_trainer
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model-index:
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# my_fancy_model
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This model is a fine-tuned version of [yiyanghkust/finbert-fls](https://huggingface.co/yiyanghkust/finbert-fls) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8892
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 7 | 0.9168 |
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| No log | 2.0 | 14 | 0.8892 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"activation": "gelu",
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"architectures": [
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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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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "
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"
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"
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"
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}
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{
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"_name_or_path": "yiyanghkust/finbert-fls",
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"architectures": [
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"BertForSequenceClassification"
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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": "Not FLS",
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"1": "Non-specific FLS",
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"2": "Specific FLS"
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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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"Non-specific FLS": 1,
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"Not FLS": 0,
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"Specific FLS": 2
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30873
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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:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce410972ea7b8b4331d14ae05f474f38ae47dda3452c467b3707e4bd4b49e30f
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size 439039996
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special_tokens_map.json
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{
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"cls_token":
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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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{
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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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"single_word": false,
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"special": true
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},
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"
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"content": "[UNK]",
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"lstrip": false,
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"normalized": 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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"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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"special": true
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},
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"
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"content": "[SEP]",
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"lstrip": false,
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"normalized": 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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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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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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"max_length": 32,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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-
"stride": 0,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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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": "[UNK]",
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"lstrip": false,
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"normalized": 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": "[CLS]",
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"lstrip": false,
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"normalized": 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": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": true
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},
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"5": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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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_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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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:
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size 4984
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version https://git-lfs.github.com/spec/v1
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size 4984
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vocab.txt
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