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README.md CHANGED
@@ -1,3 +1,70 @@
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  ---
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- license: cc-by-sa-3.0
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - f1
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+ model-index:
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+ - name: fine-tuned-rvl-cdip
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/david_hajdu/huggingface/runs/0bqlwuvd)
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+ # fine-tuned-rvl-cdip
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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: 0.7731
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+ - F1: 0.8177
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 96 | 2.0377 | 0.4479 |
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+ | No log | 2.0 | 192 | 1.3075 | 0.6641 |
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+ | No log | 3.0 | 288 | 0.9850 | 0.7240 |
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+ | No log | 4.0 | 384 | 0.8775 | 0.7630 |
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+ | No log | 5.0 | 480 | 0.7824 | 0.7865 |
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+ | 1.2987 | 6.0 | 576 | 0.7516 | 0.8021 |
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+ | 1.2987 | 7.0 | 672 | 0.7688 | 0.7865 |
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+ | 1.2987 | 8.0 | 768 | 0.7462 | 0.8125 |
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+ | 1.2987 | 9.0 | 864 | 0.7731 | 0.8177 |
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+ | 1.2987 | 10.0 | 960 | 0.7755 | 0.8125 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "microsoft/layoutlmv3-base",
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+ "architectures": [
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+ "LayoutLMv3ForSequenceClassification"
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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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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "file_folder",
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+ "1": "advertisement",
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+ "10": "scientific_publication",
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+ "11": "scientific_report",
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+ "14": "budget",
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+ "15": "resume",
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+ "2": "questionnaire",
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+ "3": "specification",
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+ "4": "form",
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+ "5": "memo",
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+ "6": "handwritten",
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+ "7": "letter",
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+ "8": "invoice",
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+ "9": "email"
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+ },
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+ "initializer_range": 0.02,
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+ "input_size": 224,
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+ "layer_norm_eps": 1e-05,
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+ "max_2d_position_embeddings": 1024,
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+ "max_position_embeddings": 514,
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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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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "rel_2d_pos_bins": 64,
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+ "rel_pos_bins": 32,
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+ "second_input_size": 112,
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+ "shape_size": 128,
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+ "text_embed": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.0.dev0",
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+ "type_vocab_size": 1,
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+ "visual_embed": true,
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+ "vocab_size": 50265
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+ }
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