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layoutlm-donut-own

Token Classification
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layoutlm
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End of training

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  1. README.md +130 -0
  2. logs/events.out.tfevents.1685537997.DESKTOP-NAHDDBT.128.2 +2 -2
  3. preprocessor_config.json +14 -0
  4. special_tokens_map.json +7 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +38 -0
  7. vocab.txt +0 -0
README.md ADDED
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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: layoutlm-donut-own
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+ results: []
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+ ---
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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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+
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+ # layoutlm-donut-own
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+
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+ This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3438
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+ - Ban: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Eader:client: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Eader:client Tax Id: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Eader:iban: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Eader:invoice Date: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Eader:invoice No: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Eader:seller: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Eader:seller Tax Id: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 43}
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+ - Eller: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Eller Tax Id: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Lient: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Lient Tax Id: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Nvoice Date: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Nvoice No: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Otal Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Otal Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Otal Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Tem Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}
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+ - Tem Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}
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+ - Tem Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}
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+ - Tem Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}
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+ - Tem Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}
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+ - Tem Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3}
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+ - Tems Row1:item Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Tems Row1:item Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Tems Row1:item Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Tems Row1:item Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 43}
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+ - Tems Row1:item Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 45}
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+ - Tems Row1:item Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 43}
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+ - Tems Row1:seller Tax Id: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
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+ - Tems Row2:item Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 39}
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+ - Tems Row2:item Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 39}
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+ - Tems Row2:item Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 38}
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+ - Tems Row2:item Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 39}
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+ - Tems Row2:item Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 40}
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+ - Tems Row2:item Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 38}
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+ - Tems Row3:item Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32}
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+ - Tems Row3:item Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32}
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+ - Tems Row3:item Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32}
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+ - Tems Row3:item Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32}
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+ - Tems Row3:item Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 33}
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+ - Tems Row3:item Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 31}
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+ - Tems Row4:item Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26}
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+ - Tems Row4:item Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26}
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+ - Tems Row4:item Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26}
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+ - Tems Row4:item Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26}
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+ - Tems Row4:item Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 27}
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+ - Tems Row4:item Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 25}
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+ - Tems Row5:item Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21}
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+ - Tems Row5:item Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21}
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+ - Tems Row5:item Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21}
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+ - Tems Row5:item Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21}
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+ - Tems Row5:item Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 22}
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+ - Tems Row5:item Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 20}
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+ - Tems Row6:item Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17}
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+ - Tems Row6:item Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17}
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+ - Tems Row6:item Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17}
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+ - Tems Row6:item Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17}
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+ - Tems Row6:item Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17}
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+ - Tems Row6:item Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17}
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+ - Tems Row7:item Desc: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11}
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+ - Tems Row7:item Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11}
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+ - Tems Row7:item Net Price: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11}
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+ - Tems Row7:item Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11}
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+ - Tems Row7:item Qty: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11}
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+ - Tems Row7:item Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}
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+ - Ther: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 609}
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+ - Ummary:total Gross Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Ummary:total Net Worth: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Ummary:total Vat: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44}
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+ - Overall Precision: 0.0
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+ - Overall Recall: 0.0
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+ - Overall F1: 0.0
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+ - Overall Accuracy: 0.5689
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Ban | Eader:client | Eader:client Tax Id | Eader:iban | Eader:invoice Date | Eader:invoice No | Eader:seller | Eader:seller Tax Id | Eller | Eller Tax Id | Lient | Lient Tax Id | Nvoice Date | Nvoice No | Otal Gross Worth | Otal Net Worth | Otal Vat | Tem Desc | Tem Gross Worth | Tem Net Price | Tem Net Worth | Tem Qty | Tem Vat | Tems Row1:item Desc | Tems Row1:item Gross Worth | Tems Row1:item Net Price | Tems Row1:item Net Worth | Tems Row1:item Qty | Tems Row1:item Vat | Tems Row1:seller Tax Id | Tems Row2:item Desc | Tems Row2:item Gross Worth | Tems Row2:item Net Price | Tems Row2:item Net Worth | Tems Row2:item Qty | Tems Row2:item Vat | Tems Row3:item Desc | Tems Row3:item Gross Worth | Tems Row3:item Net Price | Tems Row3:item Net Worth | Tems Row3:item Qty | Tems Row3:item Vat | Tems Row4:item Desc | Tems Row4:item Gross Worth | Tems Row4:item Net Price | Tems Row4:item Net Worth | Tems Row4:item Qty | Tems Row4:item Vat | Tems Row5:item Desc | Tems Row5:item Gross Worth | Tems Row5:item Net Price | Tems Row5:item Net Worth | Tems Row5:item Qty | Tems Row5:item Vat | Tems Row6:item Desc | Tems Row6:item Gross Worth | Tems Row6:item Net Price | Tems Row6:item Net Worth | Tems Row6:item Qty | Tems Row6:item Vat | Tems Row7:item Desc | Tems Row7:item Gross Worth | Tems Row7:item Net Price | Tems Row7:item Net Worth | Tems Row7:item Qty | Tems Row7:item Vat | Ther | Ummary:total Gross Worth | Ummary:total Net Worth | Ummary:total Vat | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:-----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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+ | 3.6109 | 1.0 | 7 | 2.7573 | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 43} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 3} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 43} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 45} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 43} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 39} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 39} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 38} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 39} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 40} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 38} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 32} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 33} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 31} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 26} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 27} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 25} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 21} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 22} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 20} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 17} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 11} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 609} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 44} | 0.0 | 0.0 | 0.0 | 0.5689 |
122
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