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First model version

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.gitignore ADDED
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+ checkpoint-*/
README.md ADDED
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+ ---
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+ license: cc-by-sa-4.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - funsd
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+ model_index:
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+ - name: layoutlmv2-finetuned-funsd
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+ results:
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+ - task:
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+ name: Token Classification
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+ type: token-classification
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+ dataset:
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+ name: funsd
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+ type: funsd
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+ args: funsd
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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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+ # layoutlmv2-finetuned-funsd
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+
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+ This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the funsd 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: 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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+ - training_steps: 1000
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+ - mixed_precision_training: Native AMP
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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 4.9.0.dev0
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+ - Pytorch 1.8.0+cu101
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+ - Datasets 1.9.0
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+ - Tokenizers 0.10.3
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+ {
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+ "_name_or_path": "microsoft/layoutlmv2-base-uncased",
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+ "architectures": [
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+ "LayoutLMv2ForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "convert_sync_batchnorm": true,
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+ "coordinate_size": 128,
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+ "fast_qkv": true,
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+ "gradient_checkpointing": false,
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+ "has_relative_attention_bias": true,
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+ "has_spatial_attention_bias": true,
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+ "has_visual_segment_embedding": false,
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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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+ "0": "other",
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+ "1": "b-header",
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+ "2": "i-header",
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+ "3": "b-question",
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+ "4": "i-question",
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+ "5": "b-answer",
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+ "6": "i-answer"
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+ },
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+ "image_feature_pool_shape": [
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+ 7,
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+ 7,
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+ 256
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+ ],
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "other": 0,
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+ "b-header": 1,
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+ "i-header": 2,
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+ "b-question": 3,
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+ "i-question": 4,
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+ "b-answer": 5,
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+ "i-answer": 6
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_2d_position_embeddings": 1024,
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+ "max_position_embeddings": 512,
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+ "max_rel_2d_pos": 256,
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+ "max_rel_pos": 128,
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+ "model_type": "layoutlmv2",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "rel_2d_pos_bins": 64,
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+ "rel_pos_bins": 32,
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+ "shape_size": 128,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.9.0.dev0",
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+ "type_vocab_size": 2,
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+ "vocab_size": 30522
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+ }
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+ {
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+ "apply_ocr": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "LayoutLMv2FeatureExtractor",
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+ "resample": 2,
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+ "size": 224
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+ }
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tokenizer.json ADDED
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