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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/layoutlm-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: layoutlmv3-custom_no_text
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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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+ # layoutlmv3-custom_no_text
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+
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+ This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.3487
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+ - eval_noise: {'precision': 0.6914893617021277, 'recall': 0.7210776545166403, 'f1': 0.7059736229635376, 'number': 631}
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+ - eval_signal: {'precision': 0.684931506849315, 'recall': 0.7142857142857143, 'f1': 0.6993006993006993, 'number': 630}
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+ - eval_overall_precision: 0.6882
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+ - eval_overall_recall: 0.7177
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+ - eval_overall_f1: 0.7026
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+ - eval_overall_accuracy: 0.9325
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+ - eval_runtime: 0.9604
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+ - eval_samples_per_second: 37.484
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+ - eval_steps_per_second: 5.206
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+ - epoch: 24.0
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+ - step: 432
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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: 3e-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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+ - num_epochs: 50
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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vocab.txt ADDED
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