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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-testing-v0
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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-testing-v0
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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: 2.6958
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- Precision: 0.2244
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- Recall: 0.2148
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- F1: 0.2195
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- Accuracy: 0.3239
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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: 50
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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 | 0.59 | 10 | 3.1329 | 0.0147 | 0.0143 | 0.0145 | 0.1690 |
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| No log | 1.18 | 20 | 2.9569 | 0.1115 | 0.0716 | 0.0872 | 0.2069 |
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| No log | 1.76 | 30 | 2.8145 | 0.2026 | 0.1480 | 0.1710 | 0.2482 |
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| No log | 2.35 | 40 | 2.7292 | 0.2158 | 0.1957 | 0.2053 | 0.3014 |
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| No log | 2.94 | 50 | 2.6958 | 0.2244 | 0.2148 | 0.2195 | 0.3239 |
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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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