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End of training

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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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+ datasets:
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+ - cord
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+ model-index:
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+ - name: layoutlmv3-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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+ # layoutlmv3-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 cord dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3031
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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: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.0
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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+ {
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+ "epoch": 0.0,
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+ "eval_loss": 1.3031481504440308,
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+ "eval_runtime": 250.6497,
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+ "eval_samples": 1400,
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+ "eval_samples_per_second": 5.585,
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+ "eval_steps_per_second": 0.698,
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+ "train_loss": 1.4569509029388428,
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+ "train_runtime": 29.2044,
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+ "train_samples": 8600,
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+ "train_samples_per_second": 0.274,
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+ "train_steps_per_second": 0.034
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+ }
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+ {
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+ "_name_or_path": "microsoft/layoutlmv3-base",
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+ "architectures": [
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+ "LayoutLMv3ForTokenClassification"
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+ "layer_norm_eps": 1e-05,
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+ "max_2d_position_embeddings": 1024,
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+ "model_type": "layoutlmv3",
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+ "torch_dtype": "float32",
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