dwitidibyajyoti
commited on
Commit
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Parent(s):
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End of training
Browse files- README.md +75 -0
- config.json +70 -0
- merges.txt +0 -0
- preprocessor_config.json +27 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +86 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: cc-by-nc-sa-4.0
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base_model: microsoft/layoutlmv3-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: layoutmlv3_thursday_sep7_v5
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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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# layoutmlv3_thursday_sep7_v5
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1416
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- Precision: 0.5517
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- Recall: 0.9412
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- F1: 0.6957
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- Accuracy: 0.9822
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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-05
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- train_batch_size: 2
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- eval_batch_size: 2
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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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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 8.33 | 100 | 0.3243 | 0.5556 | 0.8824 | 0.6818 | 0.9485 |
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| No log | 16.67 | 200 | 0.1584 | 0.6087 | 0.8235 | 0.7 | 0.9734 |
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| No log | 25.0 | 300 | 0.1682 | 0.5517 | 0.9412 | 0.6957 | 0.9769 |
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| No log | 33.33 | 400 | 0.1773 | 0.4545 | 0.8824 | 0.6 | 0.9734 |
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| 0.2633 | 41.67 | 500 | 0.1631 | 0.4375 | 0.8235 | 0.5714 | 0.9751 |
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| 0.2633 | 50.0 | 600 | 0.1526 | 0.5517 | 0.9412 | 0.6957 | 0.9769 |
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| 0.2633 | 58.33 | 700 | 0.1430 | 0.5517 | 0.9412 | 0.6957 | 0.9840 |
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| 0.2633 | 66.67 | 800 | 0.1497 | 0.5517 | 0.9412 | 0.6957 | 0.9822 |
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| 0.2633 | 75.0 | 900 | 0.1418 | 0.5517 | 0.9412 | 0.6957 | 0.9805 |
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| 0.0111 | 83.33 | 1000 | 0.1416 | 0.5517 | 0.9412 | 0.6957 | 0.9822 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "microsoft/layoutlmv3-base",
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"architectures": [
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"LayoutLMv3ForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"coordinate_size": 128,
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"eos_token_id": 2,
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"has_relative_attention_bias": true,
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"has_spatial_attention_bias": 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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"id2label": {
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"0": "E-VALUE",
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"1": "I-IGNORE",
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"2": "S-KEY",
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"3": "E-IGNORE",
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"4": "S-IGNORE",
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"5": "S-VALUE",
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"6": "I-VALUE",
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"7": "B-IGNORE",
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"8": "B-VALUE",
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"9": "B-TABLE",
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"10": "O",
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"11": "I-TABLE",
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"12": "E-TABLE"
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},
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"initializer_range": 0.02,
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"input_size": 224,
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"intermediate_size": 3072,
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"label2id": {
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"B-IGNORE": 7,
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"B-TABLE": 9,
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"B-VALUE": 8,
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"E-IGNORE": 3,
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"E-TABLE": 12,
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"E-VALUE": 0,
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"I-IGNORE": 1,
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"I-TABLE": 11,
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"I-VALUE": 6,
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"O": 10,
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"S-IGNORE": 4,
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"S-KEY": 2,
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"S-VALUE": 5
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},
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"layer_norm_eps": 1e-05,
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"max_2d_position_embeddings": 1024,
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"max_position_embeddings": 514,
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"max_rel_2d_pos": 256,
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"max_rel_pos": 128,
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"model_type": "layoutlmv3",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"patch_size": 16,
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"rel_2d_pos_bins": 64,
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"rel_pos_bins": 32,
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"second_input_size": 112,
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"shape_size": 128,
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"text_embed": true,
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"torch_dtype": "float32",
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"transformers_version": "4.34.0.dev0",
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"type_vocab_size": 1,
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"visual_embed": true,
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"vocab_size": 50265
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}
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merges.txt
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preprocessor_config.json
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{
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"apply_ocr": false,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "LayoutLMv3FeatureExtractor",
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "LayoutLMv3ImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"ocr_lang": null,
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"processor_class": "LayoutLMv3Processor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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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:f8baa4756b56a713a95ec5005c6e4c170cb8941043ef2ebce056eea87cba9e30
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size 503784749
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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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": true,
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"normalized": true,
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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": true,
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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": "</s>",
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"lstrip": false,
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"normalized": true,
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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": true,
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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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"add_prefix_space": true,
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"apply_ocr": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token_box": [
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0,
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0,
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],
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"errors": "replace",
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"mask_token": {
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"__type": "AddedToken",
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 512,
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"only_label_first_subword": true,
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"pad_token": {
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"__type": "AddedToken",
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token_box": [
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0,
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],
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"pad_token_label": -100,
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"processor_class": "LayoutLMv3Processor",
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"sep_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_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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"tokenizer_class": "LayoutLMv3Tokenizer",
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"trim_offsets": true,
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78 |
+
"unk_token": {
|
79 |
+
"__type": "AddedToken",
|
80 |
+
"content": "<unk>",
|
81 |
+
"lstrip": false,
|
82 |
+
"normalized": true,
|
83 |
+
"rstrip": false,
|
84 |
+
"single_word": false
|
85 |
+
}
|
86 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b7aa71c78efdf5ae36c23a6d6be0d7e13205dc0f86a3f357d096f335aedc3b8a
|
3 |
+
size 4027
|
vocab.json
ADDED
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|
|