dadashzadeh
commited on
Commit
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End of training
Browse files- README.md +71 -0
- config.json +36 -0
- model.safetensors +3 -0
- runs/Jul10_23-39-01_0acce8ee3931/events.out.tfevents.1720654745.0acce8ee3931.378.0 +3 -0
- runs/Jul10_23-49-37_0acce8ee3931/events.out.tfevents.1720655381.0acce8ee3931.378.1 +3 -0
- runs/Jul10_23-49-37_0acce8ee3931/events.out.tfevents.1720656108.0acce8ee3931.378.2 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +61 -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: philschmid/tiny-bert-sst2-distilled
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: tiny-bert-Sentiment-persian
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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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# tiny-bert-Sentiment-persian
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This model is a fine-tuned version of [philschmid/tiny-bert-sst2-distilled](https://huggingface.co/philschmid/tiny-bert-sst2-distilled) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8137
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- Accuracy: 0.6423
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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: 1e-08
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.8627 | 1.0 | 3576 | 0.8142 | 0.6410 |
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| 0.8555 | 2.0 | 7152 | 0.8140 | 0.6415 |
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| 0.874 | 3.0 | 10728 | 0.8138 | 0.6419 |
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| 0.8566 | 4.0 | 14304 | 0.8137 | 0.6423 |
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| 0.8739 | 5.0 | 17880 | 0.8137 | 0.6423 |
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| 0.8917 | 6.0 | 21456 | 0.8138 | 0.6432 |
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| 0.866 | 7.0 | 25032 | 0.8137 | 0.6432 |
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| 0.8613 | 8.0 | 28608 | 0.8137 | 0.6432 |
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| 0.875 | 9.0 | 32184 | 0.8137 | 0.6441 |
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| 0.8838 | 10.0 | 35760 | 0.8137 | 0.6441 |
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| 0.8682 | 11.0 | 39336 | 0.8137 | 0.6441 |
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| 0.8736 | 12.0 | 42912 | 0.8137 | 0.6441 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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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": "philschmid/tiny-bert-sst2-distilled",
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 128,
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"id2label": {
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"0": "negative",
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"1": "positive",
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"2": "neutral"
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},
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"label2id": {
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"negative": 0,
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"neutral": 2,
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"positive": 1
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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": 2,
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"num_hidden_layers": 2,
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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": "4.41.2",
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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 sha256:652715ae4f3405c317651c7181a530f4a5013e9652f8b7d34e0558a71aa079ce
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size 17549828
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runs/Jul10_23-39-01_0acce8ee3931/events.out.tfevents.1720654745.0acce8ee3931.378.0
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size 18325
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runs/Jul10_23-49-37_0acce8ee3931/events.out.tfevents.1720655381.0acce8ee3931.378.1
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version https://git-lfs.github.com/spec/v1
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size 27496
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runs/Jul10_23-49-37_0acce8ee3931/events.out.tfevents.1720656108.0acce8ee3931.378.2
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version https://git-lfs.github.com/spec/v1
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special_tokens_map.json
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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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"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": "[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_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_length": 512,
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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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"stride": 0,
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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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"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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a0d23684fd872c3b0b10a1f8ec73e35efc5b6ea439382747e5afadebcc7b4cd
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size 5112
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vocab.txt
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