End of training
Browse files- README.md +106 -0
- config.json +294 -0
- logs/events.out.tfevents.1732922524.2cc3b3a5bf49.638.0 +3 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +80 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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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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datasets:
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- layoutlmv3
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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: layoutlm-CC-7
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: layoutlmv3
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type: layoutlmv3
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config: FormsDataset
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split: test
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args: FormsDataset
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metrics:
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- name: Precision
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type: precision
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value: 0.12529002320185614
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- name: Recall
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type: recall
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value: 0.20224719101123595
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- name: F1
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type: f1
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value: 0.15472779369627507
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- name: Accuracy
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type: accuracy
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value: 0.19654427645788336
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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-CC-7
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the layoutlmv3 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.1612
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- Precision: 0.1253
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- Recall: 0.2022
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- F1: 0.1547
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- Accuracy: 0.1965
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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: Use adamw_torch 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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- num_epochs: 15
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- mixed_precision_training: Native AMP
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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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| 4.8141 | 1.0 | 1 | 4.7205 | 0.0921 | 0.1311 | 0.1082 | 0.0821 |
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| 4.7028 | 2.0 | 2 | 4.6365 | 0.1414 | 0.2022 | 0.1664 | 0.1425 |
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| 4.6011 | 3.0 | 3 | 4.5617 | 0.1230 | 0.2022 | 0.1530 | 0.1274 |
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| 4.5126 | 4.0 | 4 | 4.4931 | 0.1174 | 0.2022 | 0.1486 | 0.1231 |
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| 4.4376 | 5.0 | 5 | 4.4390 | 0.1166 | 0.2022 | 0.1479 | 0.1166 |
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| 4.3778 | 6.0 | 6 | 4.3926 | 0.1166 | 0.2022 | 0.1479 | 0.1188 |
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| 4.3224 | 7.0 | 7 | 4.3454 | 0.1166 | 0.2022 | 0.1479 | 0.1210 |
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| 4.2658 | 8.0 | 8 | 4.3058 | 0.1166 | 0.2022 | 0.1479 | 0.1253 |
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| 4.2182 | 9.0 | 9 | 4.2708 | 0.1179 | 0.2022 | 0.1490 | 0.1425 |
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| 4.1796 | 10.0 | 10 | 4.2415 | 0.1208 | 0.2022 | 0.1513 | 0.1641 |
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| 4.1423 | 11.0 | 11 | 4.2165 | 0.1222 | 0.2022 | 0.1523 | 0.1728 |
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| 4.1197 | 12.0 | 12 | 4.1951 | 0.1230 | 0.2022 | 0.1530 | 0.1793 |
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| 4.0976 | 13.0 | 13 | 4.1782 | 0.1241 | 0.2022 | 0.1538 | 0.1922 |
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| 4.0801 | 14.0 | 14 | 4.1669 | 0.1253 | 0.2022 | 0.1547 | 0.1965 |
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| 4.0627 | 15.0 | 15 | 4.1612 | 0.1253 | 0.2022 | 0.1547 | 0.1965 |
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### Framework versions
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- Transformers 4.47.0.dev0
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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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": "0",
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"1": "B-AMOUNT_FINANCED",
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"2": "B-AVERAGE_BANK_BALANCE",
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"3": "B-COMPANY_ADDRESS",
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"4": "B-COMPANY_CITY",
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"5": "B-COMPANY_NAME",
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"6": "B-COMPANY_PHONE",
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"7": "B-COMPANY_STATE",
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"8": "B-COMPANY_ZIP",
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"9": "B-CONTACT_EMAIL",
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"10": "B-CONTACT_NAME",
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"11": "B-CONTACT_PHONE_NUM",
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"12": "B-EQUIPMENT",
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"13": "B-EQUIPMENT_ADDRESS",
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"14": "B-EQUIPMENT_CITY",
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"15": "B-EQUIPMENT_STATE",
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"16": "B-EQUIPMENT_ZIP",
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"17": "B-FEDERAL_TAX_ID",
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"18": "B-Header",
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"19": "B-NUMBER_EMPLOYEES",
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"20": "B-NUM_YEARS_IN_BUSINESS",
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"21": "B-PRINCIPAL_1_ADDRESS",
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"22": "B-PRINCIPAL_1_CITY",
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"23": "B-PRINCIPAL_1_EMAIL",
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"24": "B-PRINCIPAL_1_NAME",
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"25": "B-PRINCIPAL_1_OWNERSHIP",
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"26": "B-PRINCIPAL_1_SSN",
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"27": "B-PRINCIPAL_1_STATE",
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"28": "B-PRINCIPAL_1_TITLE",
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"29": "B-PRINCIPAL_1_ZIP",
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"30": "B-PRINCIPAL_2_ADDRESS",
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"31": "B-PRINCIPAL_2_CITY",
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"32": "B-PRINCIPAL_2_EMAIL",
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"33": "B-PRINCIPAL_2_NAME",
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"34": "B-PRINCIPAL_2_OWNERSHIP",
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"35": "B-PRINCIPAL_2_SSN",
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"36": "B-PRINCIPAL_2_STATE",
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"37": "B-PRINCIPAL_2_TITLE",
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"38": "B-PRINCIPAL_2_ZIP",
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"39": "B-QUESTION_AMOUNT_FINANCED",
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"40": "B-QUESTION_AVERAGE_BANK_BALANCE",
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"41": "B-QUESTION_COMPANY_ADDRESS",
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"42": "B-QUESTION_COMPANY_CITY",
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"43": "B-QUESTION_COMPANY_NAME",
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"44": "B-QUESTION_COMPANY_PHONE",
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"45": "B-QUESTION_COMPANY_STATE",
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"46": "B-QUESTION_COMPANY_ZIP",
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"47": "B-QUESTION_CONTACT_EMAIL",
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"48": "B-QUESTION_CONTACT_NAME",
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"49": "B-QUESTION_CONTACT_PHONE_NUM",
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"50": "B-QUESTION_EQUIPMENT",
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"51": "B-QUESTION_EQUIPMENT_ADDRESS",
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"52": "B-QUESTION_EQUIPMENT_CITY",
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"53": "B-QUESTION_EQUIPMENT_STATE",
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"54": "B-QUESTION_EQUIPMENT_ZIP",
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"55": "B-QUESTION_FEDERAL_TAX_ID",
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"56": "B-QUESTION_NUMBER_EMPLOYEES",
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"57": "B-QUESTION_NUM_YEARS_IN_BUSINESS",
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"58": "B-QUESTION_PRINCIPAL_1_ADDRESS",
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"59": "B-QUESTION_PRINCIPAL_1_CITY",
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"60": "B-QUESTION_PRINCIPAL_1_EMAIL",
|
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"61": "B-QUESTION_PRINCIPAL_1_NAME",
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"62": "B-QUESTION_PRINCIPAL_1_OWNERSHIP",
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"63": "B-QUESTION_PRINCIPAL_1_SSN",
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"64": "B-QUESTION_PRINCIPAL_1_STATE",
|
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"65": "B-QUESTION_PRINCIPAL_1_TITLE",
|
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"66": "B-QUESTION_PRINCIPAL_1_ZIP",
|
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+
"67": "B-QUESTION_PRINCIPAL_2_ADDRESS",
|
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+
"68": "B-QUESTION_PRINCIPAL_2_CITY",
|
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+
"69": "B-QUESTION_PRINCIPAL_2_EMAIL",
|
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+
"70": "B-QUESTION_PRINCIPAL_2_NAME",
|
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+
"71": "B-QUESTION_PRINCIPAL_2_OWNERSHIP",
|
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+
"72": "B-QUESTION_PRINCIPAL_2_SSN",
|
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+
"73": "B-QUESTION_PRINCIPAL_2_STATE",
|
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+
"74": "B-QUESTION_PRINCIPAL_2_TITLE",
|
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+
"75": "B-QUESTION_PRINCIPAL_2_ZIP",
|
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"76": "B-QUESTION_SALES_REP_NAME",
|
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"77": "B-QUESTION_YEARS_CUSTOMER",
|
95 |
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"78": "B-SALES_REP_NAME",
|
96 |
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"79": "B-YEARS_CUSTOMER",
|
97 |
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"80": "I-AVERAGE_BANK_BALANCE",
|
98 |
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"81": "I-COMPANY_ADDRESS",
|
99 |
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"82": "I-COMPANY_NAME",
|
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"83": "I-COMPANY_PHONE",
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"84": "I-CONTACT_EMAIL",
|
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"85": "I-CONTACT_NAME",
|
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"86": "I-CONTACT_PHONE_NUM",
|
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"87": "I-EQUIPMENT",
|
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+
"88": "I-EQUIPMENT_ADDRESS",
|
106 |
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"89": "I-FEDERAL_TAX_ID",
|
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+
"90": "I-PRINCIPAL_1_ADDRESS",
|
108 |
+
"91": "I-PRINCIPAL_1_EMAIL",
|
109 |
+
"92": "I-PRINCIPAL_1_NAME",
|
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"93": "I-PRINCIPAL_1_SSN",
|
111 |
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"94": "I-PRINCIPAL_1_TITLE",
|
112 |
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"95": "I-PRINCIPAL_2_ADDRESS",
|
113 |
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"96": "I-PRINCIPAL_2_EMAIL",
|
114 |
+
"97": "I-PRINCIPAL_2_NAME",
|
115 |
+
"98": "I-PRINCIPAL_2_SSN",
|
116 |
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"99": "I-PRINCIPAL_2_TITLE",
|
117 |
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"100": "I-QUESTION_AMOUNT_FINANCED",
|
118 |
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"101": "I-QUESTION_AVERAGE_BANK_BALANCE",
|
119 |
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"102": "I-QUESTION_COMPANY_ADDRESS",
|
120 |
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"103": "I-QUESTION_COMPANY_NAME",
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121 |
+
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|
53 |
+
0
|
54 |
+
],
|
55 |
+
"eos_token": "</s>",
|
56 |
+
"errors": "replace",
|
57 |
+
"extra_special_tokens": {},
|
58 |
+
"mask_token": "<mask>",
|
59 |
+
"model_max_length": 512,
|
60 |
+
"only_label_first_subword": true,
|
61 |
+
"pad_token": "<pad>",
|
62 |
+
"pad_token_box": [
|
63 |
+
0,
|
64 |
+
0,
|
65 |
+
0,
|
66 |
+
0
|
67 |
+
],
|
68 |
+
"pad_token_label": -100,
|
69 |
+
"processor_class": "LayoutLMv3Processor",
|
70 |
+
"sep_token": "</s>",
|
71 |
+
"sep_token_box": [
|
72 |
+
0,
|
73 |
+
0,
|
74 |
+
0,
|
75 |
+
0
|
76 |
+
],
|
77 |
+
"tokenizer_class": "LayoutLMv3Tokenizer",
|
78 |
+
"trim_offsets": true,
|
79 |
+
"unk_token": "<unk>"
|
80 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5a08f24aad176d47d80fa10a485df4a8a14a4d1c2216f9a6c0e12cf54660df59
|
3 |
+
size 5304
|
vocab.json
ADDED
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|
|