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--- |
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license: cc-by-nc-sa-4.0 |
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base_model: microsoft/layoutlmv2-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: layoutlm-funsd |
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results: [] |
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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-funsd |
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This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3805 |
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- Ame Precision: 1.0 |
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- Ame Recall: 1.0 |
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- Ame F1: 1.0 |
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- Ame Number: 19 |
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- Andom number Precision: 1.0 |
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- Andom number Recall: 1.0 |
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- Andom number F1: 1.0 |
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- Andom number Number: 19 |
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- Ather Name Precision: 1.0 |
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- Ather Name Recall: 1.0 |
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- Ather Name F1: 1.0 |
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- Ather Name Number: 19 |
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- Lace Of Birth Precision: 1.0 |
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- Lace Of Birth Recall: 1.0 |
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- Lace Of Birth F1: 1.0 |
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- Lace Of Birth Number: 5 |
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- Other Name Precision: 1.0 |
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- Other Name Recall: 1.0 |
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- Other Name F1: 1.0 |
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- Other Name Number: 19 |
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- Overall Precision: 1.0 |
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- Overall Recall: 1.0 |
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- Overall F1: 1.0 |
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- Overall Accuracy: 1.0 |
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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: 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: 10 |
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### Training results |
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| 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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:------:|:----------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-----------------:|:--------------:|:----------:|:----------------:| |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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