layoutlmv3-finetuned-facturesv0

README.md

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+---
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: test
+  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. -->
+
+# test
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0203
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Accuracy: 1.0
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 2.5   | 100  | 0.5488          | 0.9140    | 0.8379 | 0.8743 | 0.9448   |
+| No log        | 5.0   | 200  | 0.1142          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 7.5   | 300  | 0.0433          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 10.0  | 400  | 0.0274          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.4317        | 12.5  | 500  | 0.0203          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.4317        | 15.0  | 600  | 0.0165          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.4317        | 17.5  | 700  | 0.0143          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.4317        | 20.0  | 800  | 0.0129          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.4317        | 22.5  | 900  | 0.0121          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.0248        | 25.0  | 1000 | 0.0119          | 1.0       | 1.0    | 1.0    | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- 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": "O",
+    "1": "B-Num_Facture",
+    "2": "I-Num_Facture",
+    "3": "B-Date",
+    "4": "I-Date",
+    "5": "B-Nom_Fournisseur",
+    "6": "I-Nom_Fournisseur",
+    "7": "B-ICE_Fournisseur",
+    "8": "I-ICE_Fournisseur",
+    "9": "B-Adresse_Fournisseur",
+    "10": "I-Adresse_Fournisseur",
+    "11": "B-Nom_Client",
+    "12": "I-Nom_Client",
+    "13": "B-ICE_Client",
+    "14": "I-ICE_Client",
+    "15": "B-Adresse_Client",
+    "16": "I-Adresse_Client",
+    "17": "B-Nom_Article",
+    "18": "I-Nom_Article",
+    "19": "B-QTE_Article",
+    "20": "I-QTE_Article",
+    "21": "B-Prix_Uni_Article",
+    "22": "I-Prix_Uni_Article",
+    "23": "B-Total_Article",
+    "24": "I-Total_Article",
+    "25": "B-Total_HT",
+    "26": "I-Total_HT",
+    "27": "B-TVA",
+    "28": "I-TVA",
+    "29": "B-Remise",
+    "30": "I-Remise",
+    "31": "B-Total_Net",
+    "32": "I-Total_Net"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Adresse_Client": 15,
+    "B-Adresse_Fournisseur": 9,
+    "B-Date": 3,
+    "B-ICE_Client": 13,
+    "B-ICE_Fournisseur": 7,
+    "B-Nom_Article": 17,
+    "B-Nom_Client": 11,
+    "B-Nom_Fournisseur": 5,
+    "B-Num_Facture": 1,
+    "B-Prix_Uni_Article": 21,
+    "B-QTE_Article": 19,
+    "B-Remise": 29,
+    "B-TVA": 27,
+    "B-Total_Article": 23,
+    "B-Total_HT": 25,
+    "B-Total_Net": 31,
+    "I-Adresse_Client": 16,
+    "I-Adresse_Fournisseur": 10,
+    "I-Date": 4,
+    "I-ICE_Client": 14,
+    "I-ICE_Fournisseur": 8,
+    "I-Nom_Article": 18,
+    "I-Nom_Client": 12,
+    "I-Nom_Fournisseur": 6,
+    "I-Num_Facture": 2,
+    "I-Prix_Uni_Article": 22,
+    "I-QTE_Article": 20,
+    "I-Remise": 30,
+    "I-TVA": 28,
+    "I-Total_Article": 24,
+    "I-Total_HT": 26,
+    "I-Total_Net": 32,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "patch_size": 16,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "apply_ocr",
+    "ocr_lang",
+    "tesseract_config",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "apply_ocr": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "LayoutLMv3ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "ocr_lang": null,
+  "processor_class": "LayoutLMv3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  },
+  "tesseract_config": ""
+}

runs/Jul10_11-38-30_5c79c79c901d/events.out.tfevents.1720611520.5c79c79c901d.2925.0

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runs/Jul10_11-38-30_5c79c79c901d/events.out.tfevents.1720612024.5c79c79c901d.2925.1

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special_tokens_map.json

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+{
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+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "cls_token_box": [
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+  "eos_token": "</s>",
+  "errors": "replace",
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+  "pad_token": "<pad>",
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+}

training_args.bin

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