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--- |
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license: cc-by-nc-sa-4.0 |
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base_model: microsoft/layoutlmv3-base |
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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-finetuned_invoices-3 |
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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-finetuned_invoices-3 |
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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: 0.7938 |
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- Precision: 0.9316 |
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- Recall: 0.8 |
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- F1: 0.8258 |
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- Accuracy: 0.9833 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 5 |
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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 | 1.0 | 4 | 1.3357 | 0.1867 | 0.2 | 0.1931 | 0.9333 | |
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| No log | 2.0 | 8 | 1.0489 | 0.3898 | 0.4 | 0.3948 | 0.95 | |
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| 1.1732 | 3.0 | 12 | 0.8885 | 0.7281 | 0.6 | 0.6240 | 0.9667 | |
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| 1.1732 | 4.0 | 16 | 0.7938 | 0.9316 | 0.8 | 0.8258 | 0.9833 | |
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| 0.7498 | 5.0 | 20 | 0.7694 | 0.9316 | 0.8 | 0.8258 | 0.9833 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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