| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/layoutlm-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - recall |
| | - precision |
| | model-index: |
| | - name: Layouttest |
| | 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. --> |
| |
|
| | # Layouttest |
| |
|
| | This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.8322 |
| | - F1: 0 |
| | - Recall: 0.0 |
| | - Precision: 0.0 |
| | - Pred Menge1: 15 |
| | - Pred Termin kundenwunsch - kw: 2 |
| | - Pred Modell 4: 1 |
| | - Pred Holz 4: 1 |
| | - Pred Zusatz 2: 2 |
| | - Pred Bestellnummer: 1 |
| | - Act Kommission: 2 |
| | - Act Bestellnummer: 3 |
| | - Act Modell 1: 1 |
| | - Act Kundennr.: 1 |
| | - Act Möbelhaus: 2 |
| | - Act Modell 3: 5 |
| | - Act Bezug 4: 3 |
| | - Act Menge4: 1 |
| | - Act Zusatz 1: 1 |
| | - Act Menge5: 1 |
| | - Act Modell 5: 1 |
| | - Act Modell 4: 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: 1 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
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| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.53.0.dev0 |
| | - Pytorch 2.7.0+cu126 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
| |
|
