Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use dudizi/he-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dudizi/he-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dudizi/he-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dudizi/he-router") model = AutoModelForSequenceClassification.from_pretrained("dudizi/he-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
dudizi/hebrew-doc-router
Browse files- .gitattributes +1 -0
- README.md +59 -0
- config.json +36 -0
- model.safetensors +3 -0
- runs/Oct23_16-46-30_cf4f7072b868/events.out.tfevents.1761238031.cf4f7072b868.2148.0 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +64 -0
- training_args.bin +3 -0
- vocab.txt +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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vocab.txt filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: cc-by-4.0
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base_model: dicta-il/dictabert
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [dicta-il/dictabert](https://huggingface.co/dicta-il/dictabert) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.3578
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- eval_accuracy: 0.9698
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- eval_runtime: 5.3281
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- eval_samples_per_second: 434.492
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- eval_steps_per_second: 6.944
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- epoch: 6.0
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- step: 870
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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- label_smoothing_factor: 0.1
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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config.json
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{
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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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"dtype": "float32",
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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": "wikipedia",
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"1": "kol_zchut",
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"2": "knesset"
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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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"knesset": 2,
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"kol_zchut": 1,
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"wikipedia": 0
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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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"newmodern": true,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 3,
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"position_embedding_type": "absolute",
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"transformers_version": "4.57.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 128000
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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 sha256:55297b5f159cdd3d650377fc13359c70ae4ff811f21c445acf200a342c5b055b
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size 737414148
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runs/Oct23_16-46-30_cf4f7072b868/events.out.tfevents.1761238031.cf4f7072b868.2148.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c924441e9ee1a18f1ee84d713aaece38c8469be3ade640a9646ae2d7f95e1940
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size 5158
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special_tokens_map.json
ADDED
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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
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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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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"1": {
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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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"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": "[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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"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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"5": {
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"content": "[BLANK]",
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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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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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| 57 |
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"model_max_length": 512,
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"pad_token": "[PAD]",
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| 59 |
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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
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:568ab07e74a1c997ec7986d169e47a864c5eba7b0679018f97e5fa0d6c00fd0e
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size 5841
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vocab.txt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0fb90bfa35244d26f0065d1fcd0b5becc3da3d44d616a7e2aacaf6320b9fa2d0
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+
size 1500244
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