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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-finetuned-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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# layoutlmv3-finetuned-funsd |
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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: 0.5930 |
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- Precision: 0.7981 |
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- Recall: 0.8675 |
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- F1: 0.8313 |
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- Accuracy: 0.8104 |
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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: 10 |
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- eval_batch_size: 10 |
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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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- training_steps: 150 |
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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 | 1.67 | 25 | 1.2209 | 0.4642 | 0.5155 | 0.4885 | 0.6559 | |
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| No log | 3.33 | 50 | 0.8172 | 0.7324 | 0.776 | 0.7536 | 0.7619 | |
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| No log | 5.0 | 75 | 0.6125 | 0.7876 | 0.8435 | 0.8146 | 0.8126 | |
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| No log | 6.67 | 100 | 0.5984 | 0.8053 | 0.8665 | 0.8348 | 0.8107 | |
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| No log | 8.33 | 125 | 0.5674 | 0.8040 | 0.8715 | 0.8364 | 0.8217 | |
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| No log | 10.0 | 150 | 0.5930 | 0.7981 | 0.8675 | 0.8313 | 0.8104 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.13.2 |
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- Tokenizers 0.10.1 |
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