--- license: cc-by-nc-sa-4.0 base_model: microsoft/layoutlmv2-base-uncased tags: - generated_from_trainer model-index: - name: layoutlm-funsd results: [] --- # layoutlm-funsd This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3805 - Ame Precision: 1.0 - Ame Recall: 1.0 - Ame F1: 1.0 - Ame Number: 19 - Andom number Precision: 1.0 - Andom number Recall: 1.0 - Andom number F1: 1.0 - Andom number Number: 19 - Ather Name Precision: 1.0 - Ather Name Recall: 1.0 - Ather Name F1: 1.0 - Ather Name Number: 19 - Lace Of Birth Precision: 1.0 - Lace Of Birth Recall: 1.0 - Lace Of Birth F1: 1.0 - Lace Of Birth Number: 5 - Other Name Precision: 1.0 - Other Name Recall: 1.0 - Other Name F1: 1.0 - Other Name Number: 19 - Overall Precision: 1.0 - Overall Recall: 1.0 - Overall F1: 1.0 - Overall Accuracy: 1.0 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Ame Precision | Ame Recall | Ame F1 | Ame Number | Andom number Precision | Andom number Recall | Andom number F1 | Andom number Number | Ather Name Precision | Ather Name Recall | Ather Name F1 | Ather Name Number | Lace Of Birth Precision | Lace Of Birth Recall | Lace Of Birth F1 | Lace Of Birth Number | Other Name Precision | Other Name Recall | Other Name F1 | Other Name Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | |:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:------:|:----------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-----------------:|:--------------:|:----------:|:----------------:| | 1.2231 | 1.0 | 41 | 0.8784 | 0.3220 | 1.0 | 0.4872 | 19 | 1.0 | 1.0 | 1.0 | 19 | 0.0 | 0.0 | 0.0 | 19 | 0.0 | 0.0 | 0.0 | 5 | 0.0 | 0.0 | 0.0 | 19 | 0.4872 | 0.4691 | 0.4780 | 0.9126 | | 0.8256 | 2.0 | 82 | 0.6942 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.6803 | 3.0 | 123 | 0.5889 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.5863 | 4.0 | 164 | 0.5189 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.5261 | 5.0 | 205 | 0.4713 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.4835 | 6.0 | 246 | 0.4369 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.4519 | 7.0 | 287 | 0.4111 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.4287 | 8.0 | 328 | 0.3938 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.4142 | 9.0 | 369 | 0.3837 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.4079 | 10.0 | 410 | 0.3805 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 5 | 1.0 | 1.0 | 1.0 | 19 | 1.0 | 1.0 | 1.0 | 1.0 | ### Framework versions - Transformers 4.34.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1