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hmart824/layoutLMV3_trained_model_alpha0.2

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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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+ model-index:
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+ - name: layoutlmv3_alpha0.2
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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_alpha0.2
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: nan
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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: 4
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+ - eval_batch_size: 4
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 3
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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 4.42.3
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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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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+ "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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+ "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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+ },
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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_hidden_layers": 12,
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+ "rel_pos_bins": 32,
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+ "text_embed": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.3",
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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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