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---
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: layoutlmv3-final-v5-BI
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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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# layoutlmv3-final-v5-BI
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6247
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- Precision: 0.8999
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- Recall: 0.8951
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- F1: 0.8975
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- Accuracy: 0.8332
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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: 1e-05
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- train_batch_size: 8
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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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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 2.56 | 100 | 1.7861 | 0.6476 | 0.5870 | 0.6158 | 0.5780 |
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| No log | 5.13 | 200 | 1.0443 | 0.8398 | 0.8320 | 0.8359 | 0.7429 |
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| No log | 7.69 | 300 | 0.7747 | 0.8883 | 0.8818 | 0.8850 | 0.8073 |
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| No log | 10.26 | 400 | 0.6585 | 0.9011 | 0.8958 | 0.8984 | 0.8326 |
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| 1.3123 | 12.82 | 500 | 0.6247 | 0.8999 | 0.8951 | 0.8975 | 0.8332 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 1.8.0+cu101
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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