layoutlmv3-model-ubiai-finetuned

README.md

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+---
+library_name: transformers
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
+tags:
+- generated_from_trainer
+model-index:
+- name: output
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# output
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0733
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 5    | 1.4124          |
+| 1.9095        | 2.0   | 10   | 1.1362          |
+| 1.9095        | 3.0   | 15   | 1.0733          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/layoutlmv3-base",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "coordinate_size": 128,
+  "eos_token_id": 2,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-B-ADDRESS",
+    "1": "B-B-NAME",
+    "2": "B-INVOICE NO",
+    "3": "B-ORDER DATE",
+    "4": "B-ORDER ID",
+    "5": "B-S-ADDRESS",
+    "6": "B-S-NAME",
+    "7": "B-TOTAL GROSS",
+    "8": "E-B-ADDRESS",
+    "9": "E-B-NAME",
+    "10": "E-INVOICE NO",
+    "11": "E-ORDER DATE",
+    "12": "E-ORDER ID",
+    "13": "E-S-ADDRESS",
+    "14": "E-S-NAME",
+    "15": "E-TOTAL GROSS",
+    "16": "I-B-ADDRESS",
+    "17": "I-B-NAME",
+    "18": "I-INVOICE NO",
+    "19": "I-ORDER DATE",
+    "20": "I-S-ADDRESS",
+    "21": "I-S-NAME",
+    "22": "I-TOTAL GROSS",
+    "23": "O",
+    "24": "S-B-ADDRESS",
+    "25": "S-B-NAME",
+    "26": "S-GST NO",
+    "27": "S-INVOICE NO",
+    "28": "S-ORDER DATE",
+    "29": "S-ORDER ID",
+    "30": "S-S-ADDRESS",
+    "31": "S-S-NAME",
+    "32": "S-TOTAL GROSS"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-B-NAME": 1,
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+    "B-ORDER ID": 4,
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+    "B-S-NAME": 6,
+    "B-TOTAL GROSS": 7,
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+    "E-B-NAME": 9,
+    "E-INVOICE NO": 10,
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+    "E-ORDER ID": 12,
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+    "E-S-NAME": 14,
+    "E-TOTAL GROSS": 15,
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+    "S-INVOICE NO": 27,
+    "S-ORDER DATE": 28,
+    "S-ORDER ID": 29,
+    "S-S-ADDRESS": 30,
+    "S-S-NAME": 31,
+    "S-TOTAL GROSS": 32
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+  "max_position_embeddings": 514,
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+  "text_embed": true,
+  "torch_dtype": "float32",
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+}

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eval_split/state.json

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final_model/config.json

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+    "29": "S-ORDER ID",
+    "30": "S-S-ADDRESS",
+    "31": "S-S-NAME",
+    "32": "S-TOTAL GROSS"
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+}

raw_data/train/state.json

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special_tokens_map.json

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tokenizer_config.json

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+}

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train_split/dataset_info.json

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train_split/state.json

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