End of training
Browse files- README.md +50 -0
- config.json +132 -0
- preprocessor_config.json +14 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +79 -0
- training_args.bin +3 -0
- 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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- name: 20231102_layoutlmv2-base-uncased_finetuned_docvqa
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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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# 20231102_layoutlmv2-base-uncased_finetuned_docvqa
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This model was trained from scratch on the None 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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 1
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### Training results
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.10.1
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "/home/gaurav_narasimhan/01.gn_models/16.LayoutLM/01.v2-base-uncased",
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"architectures": [
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"LayoutLMv2ForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"convert_sync_batchnorm": true,
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"coordinate_size": 128,
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"detectron2_config_args": {
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"MODEL.ANCHOR_GENERATOR.SIZES": [
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[
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32
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],
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[
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64
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],
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[
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128
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],
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[
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256
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],
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[
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512
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]
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],
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"MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
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"MODEL.FPN.IN_FEATURES": [
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"res2",
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"res3",
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"res4",
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"res5"
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],
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"MODEL.MASK_ON": true,
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"MODEL.PIXEL_STD": [
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57.375,
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57.12,
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58.395
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],
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"MODEL.POST_NMS_TOPK_TEST": 1000,
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"MODEL.RESNETS.ASPECT_RATIOS": [
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[
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0.5,
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1.0,
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2.0
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]
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],
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"MODEL.RESNETS.DEPTH": 101,
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"MODEL.RESNETS.NUM_GROUPS": 32,
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"MODEL.RESNETS.OUT_FEATURES": [
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"res2",
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"res3",
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"res4",
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"res5"
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],
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"MODEL.RESNETS.SIZES": [
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[
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32
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],
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[
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64
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],
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[
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128
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],
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[
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256
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],
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[
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512
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]
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],
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"MODEL.RESNETS.STRIDE_IN_1X1": false,
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"MODEL.RESNETS.WIDTH_PER_GROUP": 8,
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"MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
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"MODEL.ROI_BOX_HEAD.NUM_FC": 2,
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"MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
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"MODEL.ROI_HEADS.IN_FEATURES": [
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"p2",
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"p3",
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"p4",
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"p5"
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],
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"MODEL.ROI_HEADS.NAME": "StandardROIHeads",
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"MODEL.ROI_HEADS.NUM_CLASSES": 5,
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"MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
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"MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
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"MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
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"MODEL.RPN.IN_FEATURES": [
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"p2",
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"p3",
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"p4",
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"p5",
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"p6"
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],
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"MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000,
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"MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
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"MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000
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},
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"fast_qkv": true,
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"gradient_checkpointing": false,
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"has_relative_attention_bias": true,
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"has_spatial_attention_bias": true,
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"has_visual_segment_embedding": true,
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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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"image_feature_pool_shape": [
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7,
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7,
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256
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],
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"max_rel_2d_pos": 256,
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"max_rel_pos": 128,
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"model_type": "layoutlmv2",
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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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"rel_2d_pos_bins": 64,
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"rel_pos_bins": 32,
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"shape_size": 128,
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"type_vocab_size": 2,
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"vocab_size": 30522
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}
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:36e5e98e6014683cf548153e4cd8e1dfbb6a35b39afe3f3576a0e311401790d8
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size 802214001
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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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"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 sha256:030db23aca86ee32305b0965ee2c6022c96b9217c9c807b9579811b585e32585
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size 4091
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vocab.txt
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See raw diff
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