| | --- |
| | library_name: transformers |
| | base_model: microsoft/layoutlm-large-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - recall |
| | - precision |
| | model-index: |
| | - name: Layoutlmlargetest |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Layoutlmlargetest |
| |
|
| | This model is a fine-tuned version of [microsoft/layoutlm-large-uncased](https://huggingface.co/microsoft/layoutlm-large-uncased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8743 |
| | - F1: 0.7462 |
| | - Recall: 0.7244 |
| | - Precision: 0.7693 |
| | - Pred Bestellnummer: 147 |
| | - Percentage Pred Act Bestellnummer: 1.0280 |
| | - Pred Kundennr.: 56 |
| | - Percentage Pred Act Kundennr.: 1.1667 |
| | - Pred Bezug 1: 26 |
| | - Percentage Pred Act Bezug 1: 1.8571 |
| | - Pred Modell 1: 96 |
| | - Percentage Pred Act Modell 1: 0.9697 |
| | - Pred Menge1: 25 |
| | - Percentage Pred Act Menge1: 1.1905 |
| | - Pred Menge4: 13 |
| | - Percentage Pred Act Menge4: 1.3 |
| | - Pred Möbelhaus: 94 |
| | - Percentage Pred Act Möbelhaus: 1.0330 |
| | - Pred Termin kundenwunsch - kw: 28 |
| | - Percentage Pred Act Termin kundenwunsch - kw: 0.875 |
| | - Pred Kommission: 57 |
| | - Percentage Pred Act Kommission: 0.9828 |
| | - Pred Holz 1: 22 |
| | - Percentage Pred Act Holz 1: 1.1579 |
| | - Pred Modell 2: 64 |
| | - Percentage Pred Act Modell 2: 1.0323 |
| | - Pred Zusatz 1: 14 |
| | - Percentage Pred Act Zusatz 1: 1.0 |
| | - Pred La-anschrift: 6 |
| | - Percentage Pred Act La-anschrift: 1.0 |
| | - Pred Bezug 2: 2 |
| | - Percentage Pred Act Bezug 2: 0.1538 |
| | - Pred Holz 2: 25 |
| | - Percentage Pred Act Holz 2: 1.1905 |
| | - Pred Menge3: 30 |
| | - Percentage Pred Act Menge3: 1.3636 |
| | - Pred Modell 3: 77 |
| | - Percentage Pred Act Modell 3: 1.1667 |
| | - Pred Bezug 4: 1 |
| | - Percentage Pred Act Bezug 4: 0.1429 |
| | - Pred Menge2: 9 |
| | - Percentage Pred Act Menge2: 0.5 |
| | - Pred Var-ausf 1: 8 |
| | - Percentage Pred Act Var-ausf 1: 1.0 |
| | - Pred Bezug 3: 9 |
| | - Percentage Pred Act Bezug 3: 2.25 |
| | - Act Bestellnummer: 143 |
| | - Act Kundennr.: 48 |
| | - Act Bezug 1: 14 |
| | - Act Modell 1: 99 |
| | - Act Menge1: 21 |
| | - Act Menge4: 10 |
| | - Act Möbelhaus: 91 |
| | - Act Bezug 2: 13 |
| | - Act Zusatz 2: 1 |
| | - Act Termin kundenwunsch - kw: 32 |
| | - Act Kommission: 58 |
| | - Act Holz 1: 19 |
| | - Act Menge3: 22 |
| | - Act Modell 2: 62 |
| | - Act Modell 3: 66 |
| | - Act Modell 4: 6 |
| | - Act Bezug 4: 7 |
| | - Act Zusatz 3: 1 |
| | - Act Holz 2: 21 |
| | - Act Menge2: 18 |
| | - Act Bezug 3: 4 |
| | - Act Var-ausf 1: 8 |
| | - Act Holz 3: 5 |
| | - Act Zusatz 1: 14 |
| | - Act Var-ausf. 2: 7 |
| | - Act Var-ausf. 3: 4 |
| | - Act Pv 3: 1 |
| | - Act Holz 4: 1 |
| | - Act Var-ausf. 5: 1 |
| | - Act Modell 5: 5 |
| | - Act La-anschrift: 6 |
| | - Act Menge5: 1 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.53.0.dev0 |
| | - Pytorch 2.7.0+cu126 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
| |
|
