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layoutlmv3-finetuned-cord_100

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  1. README.md +48 -0
  2. config.json +166 -0
  3. pytorch_model.bin +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ base_model: rajistics/layoutlmv3-finetuned-cord_500
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: layoutlmv3-finetuned-cord
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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-finetuned-cord
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+
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+ This model is a fine-tuned version of [rajistics/layoutlmv3-finetuned-cord_500](https://huggingface.co/rajistics/layoutlmv3-finetuned-cord_500) on an unknown dataset.
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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: 8
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+ - eval_batch_size: 5
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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: 3.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "rajistics/layoutlmv3-finetuned-cord_500",
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+ "architectures": [
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+ "LayoutLMv3ForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "coordinate_size": 128,
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+ "eos_token_id": 2,
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+ "has_relative_attention_bias": true,
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+ "has_spatial_attention_bias": true,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "max_rel_2d_pos": 256,
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+ "max_rel_pos": 128,
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+ "model_type": "layoutlmv3",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "visual_embed": true,
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+ }
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