End of training
Browse files- README.md +50 -0
- config.json +44 -0
- model.safetensors +3 -0
- preprocessor_config.json +14 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +80 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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base_model: microsoft/layoutlm-base-uncased
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tags:
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- generated_from_trainer
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datasets:
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- funsd
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model-index:
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- name: layoutlm-funsd
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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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# layoutlm-funsd
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This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the funsd dataset.
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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: 3e-05
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- train_batch_size: 16
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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: 15
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "microsoft/layoutlm-base-uncased",
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"architectures": [
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"LayoutLMForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": "O",
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"1": "B-HEADER",
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"2": "I-HEADER",
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"3": "B-QUESTION",
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"4": "I-QUESTION",
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"5": "B-ANSWER",
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"6": "I-ANSWER"
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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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"B-ANSWER": 5,
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"B-HEADER": 1,
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"B-QUESTION": 3,
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"I-ANSWER": 6,
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"I-HEADER": 2,
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"I-QUESTION": 4,
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"O": 0
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},
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"layer_norm_eps": 1e-12,
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"max_2d_position_embeddings": 1024,
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"max_position_embeddings": 512,
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"model_type": "layoutlm",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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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": "4.35.2",
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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:bc6b630bcb630a712efa6dc8acdfdbe2aef2647f7c7c3b97ae0589650c6da67b
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size 450558212
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preprocessor_config.json
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{
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"apply_ocr": true,
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"do_resize": true,
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"feature_extractor_type": "LayoutLMv2FeatureExtractor",
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"image_processor_type": "LayoutLMv2ImageProcessor",
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"ocr_lang": null,
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"processor_class": "LayoutLMv2Processor",
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"resample": 2,
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"size": {
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"height": 224,
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"width": 224
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},
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"tesseract_config": ""
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}
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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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"additional_special_tokens": [],
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"apply_ocr": false,
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"cls_token_box": [
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0,
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0,
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0,
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0
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],
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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": 512,
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"never_split": null,
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"only_label_first_subword": true,
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"pad_token": "[PAD]",
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"pad_token_box": [
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0,
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0,
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0,
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0
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],
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"pad_token_label": -100,
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"processor_class": "LayoutLMv2Processor",
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"sep_token": "[SEP]",
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"sep_token_box": [
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1000,
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1000,
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1000,
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1000
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],
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "LayoutLMv2Tokenizer",
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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 sha256:64ab2102eb5691132354bb706be17560a0d0202a44c68b46a1244f5067eefc2a
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size 4600
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vocab.txt
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See raw diff
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