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dwitidibyajyoti/fine-tune-layoutmlv3-using-our-dataset

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README.md ADDED
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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: test
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+ results: []
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+ ---
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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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+
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+ # test
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+
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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: 0.4598
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+ - Precision: 0.6190
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+ - Recall: 0.8667
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+ - F1: 0.7222
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+ - Accuracy: 0.9428
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - eval_batch_size: 2
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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: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 10.0 | 100 | 0.5546 | 0.4510 | 0.7667 | 0.5679 | 0.9016 |
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+ | No log | 20.0 | 200 | 0.4975 | 0.5510 | 0.9 | 0.6835 | 0.9441 |
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+ | No log | 30.0 | 300 | 0.4426 | 0.5098 | 0.8667 | 0.6420 | 0.9455 |
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+ | No log | 40.0 | 400 | 0.5438 | 0.4727 | 0.8667 | 0.6118 | 0.9322 |
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+ | 0.2854 | 50.0 | 500 | 0.3669 | 0.6047 | 0.8667 | 0.7123 | 0.9548 |
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+ | 0.2854 | 60.0 | 600 | 0.5638 | 0.5778 | 0.8667 | 0.6933 | 0.9348 |
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+ | 0.2854 | 70.0 | 700 | 0.3922 | 0.6512 | 0.9333 | 0.7671 | 0.9574 |
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+ | 0.2854 | 80.0 | 800 | 0.3999 | 0.6047 | 0.8667 | 0.7123 | 0.9535 |
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+ | 0.2854 | 90.0 | 900 | 0.4413 | 0.5814 | 0.8333 | 0.6849 | 0.9428 |
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+ | 0.0112 | 100.0 | 1000 | 0.4598 | 0.6190 | 0.8667 | 0.7222 | 0.9428 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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+ "_name_or_path": "microsoft/layoutlmv3-base",
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+ "layer_norm_eps": 1e-05,
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+ "model_type": "layoutlmv3",
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