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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-v4-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-v4-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: 2.1471
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- Precision: 0.5571
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- Recall: 0.4728
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- F1: 0.5115
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- Accuracy: 0.4681
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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: 100
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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 | 0.26 | 10 | 3.1260 | 0.1518 | 0.1149 | 0.1308 | 0.1478 |
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| No log | 0.51 | 20 | 2.9269 | 0.1409 | 0.0471 | 0.0706 | 0.1592 |
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| No log | 0.77 | 30 | 2.7697 | 0.2328 | 0.1102 | 0.1496 | 0.2116 |
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| No log | 1.03 | 40 | 2.6158 | 0.4015 | 0.2895 | 0.3364 | 0.3455 |
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| No log | 1.28 | 50 | 2.4704 | 0.4495 | 0.3486 | 0.3927 | 0.3784 |
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| No log | 1.54 | 60 | 2.3492 | 0.4964 | 0.4070 | 0.4473 | 0.4195 |
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| No log | 1.79 | 70 | 2.2643 | 0.5243 | 0.4369 | 0.4766 | 0.4416 |
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| No log | 2.05 | 80 | 2.1982 | 0.5454 | 0.4588 | 0.4984 | 0.4574 |
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| No log | 2.31 | 90 | 2.1600 | 0.5516 | 0.4688 | 0.5068 | 0.4637 |
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| No log | 2.56 | 100 | 2.1471 | 0.5571 | 0.4728 | 0.5115 | 0.4681 |
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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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