End of training

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
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: layoutlmv3-finetuned-invoice_ConControl_v1
+  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. -->
+
+# layoutlmv3-finetuned-invoice_ConControl_v1
+
+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: 0.1550
+- Precision: 0.8826
+- Recall: 0.7390
+- F1: 0.8044
+- Accuracy: 0.9788
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 300
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 8    | 0.5664          | 0.0       | 0.0    | 0.0    | 0.9383   |
+| No log        | 2.0   | 16   | 0.3789          | 0.0       | 0.0    | 0.0    | 0.9383   |
+| No log        | 3.0   | 24   | 0.3673          | 0.0       | 0.0    | 0.0    | 0.9383   |
+| No log        | 4.0   | 32   | 0.3596          | 0.0       | 0.0    | 0.0    | 0.9383   |
+| No log        | 5.0   | 40   | 0.3381          | 0.0       | 0.0    | 0.0    | 0.9383   |
+| No log        | 6.0   | 48   | 0.2985          | 0.0       | 0.0    | 0.0    | 0.9383   |
+| No log        | 7.0   | 56   | 0.2590          | 0.5833    | 0.0949 | 0.1633 | 0.9456   |
+| No log        | 8.0   | 64   | 0.2310          | 0.6629    | 0.3932 | 0.4936 | 0.9585   |
+| No log        | 9.0   | 72   | 0.2125          | 0.5837    | 0.5085 | 0.5435 | 0.9639   |
+| No log        | 10.0  | 80   | 0.2003          | 0.6130    | 0.5424 | 0.5755 | 0.9672   |
+| No log        | 11.0  | 88   | 0.1858          | 0.6667    | 0.5831 | 0.6221 | 0.9696   |
+| No log        | 12.0  | 96   | 0.1734          | 0.7188    | 0.6237 | 0.6679 | 0.9731   |
+| No log        | 13.0  | 104  | 0.1719          | 0.7510    | 0.6542 | 0.6993 | 0.9739   |
+| No log        | 14.0  | 112  | 0.1677          | 0.8048    | 0.6847 | 0.7399 | 0.9756   |
+| No log        | 15.0  | 120  | 0.1616          | 0.8008    | 0.6949 | 0.7441 | 0.9754   |
+| No log        | 16.0  | 128  | 0.1587          | 0.8038    | 0.7085 | 0.7532 | 0.9757   |
+| No log        | 17.0  | 136  | 0.1528          | 0.8275    | 0.7153 | 0.7673 | 0.9783   |
+| No log        | 18.0  | 144  | 0.1591          | 0.8554    | 0.7220 | 0.7831 | 0.9779   |
+| No log        | 19.0  | 152  | 0.1449          | 0.868     | 0.7356 | 0.7963 | 0.9791   |
+| No log        | 20.0  | 160  | 0.1568          | 0.8611    | 0.7356 | 0.7934 | 0.9786   |
+| No log        | 21.0  | 168  | 0.1509          | 0.8645    | 0.7356 | 0.7949 | 0.9788   |
+| No log        | 22.0  | 176  | 0.1465          | 0.8715    | 0.7356 | 0.7978 | 0.9786   |
+| No log        | 23.0  | 184  | 0.1446          | 0.8577    | 0.7356 | 0.7920 | 0.9783   |
+| No log        | 24.0  | 192  | 0.1469          | 0.8645    | 0.7356 | 0.7949 | 0.9788   |
+| No log        | 25.0  | 200  | 0.1513          | 0.8685    | 0.7390 | 0.7985 | 0.9788   |
+| No log        | 26.0  | 208  | 0.1554          | 0.8617    | 0.7390 | 0.7956 | 0.9788   |
+| No log        | 27.0  | 216  | 0.1511          | 0.8651    | 0.7390 | 0.7971 | 0.9786   |
+| No log        | 28.0  | 224  | 0.1566          | 0.872     | 0.7390 | 0.8    | 0.9788   |
+| No log        | 29.0  | 232  | 0.1544          | 0.8685    | 0.7390 | 0.7985 | 0.9788   |
+| No log        | 30.0  | 240  | 0.1510          | 0.8622    | 0.7424 | 0.7978 | 0.9791   |
+| No log        | 31.0  | 248  | 0.1589          | 0.8755    | 0.7390 | 0.8015 | 0.9788   |
+| No log        | 32.0  | 256  | 0.1550          | 0.8826    | 0.7390 | 0.8044 | 0.9788   |
+| No log        | 33.0  | 264  | 0.1498          | 0.8656    | 0.7424 | 0.7993 | 0.9791   |
+| No log        | 34.0  | 272  | 0.1539          | 0.8725    | 0.7424 | 0.8022 | 0.9793   |
+| No log        | 35.0  | 280  | 0.1542          | 0.8690    | 0.7424 | 0.8007 | 0.9793   |
+| No log        | 36.0  | 288  | 0.1538          | 0.8690    | 0.7424 | 0.8007 | 0.9793   |
+| No log        | 37.0  | 296  | 0.1543          | 0.8725    | 0.7424 | 0.8022 | 0.9793   |
+| No log        | 37.5  | 300  | 0.1543          | 0.8725    | 0.7424 | 0.8022 | 0.9793   |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu118
+- Datasets 3.4.1
+- Tokenizers 0.21.1

config.json

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+{
+  "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-Cargo Value",
+    "1": "B-Container No.",
+    "2": "B-Country of Origin",
+    "3": "B-Currency",
+    "4": "B-HS Code",
+    "5": "B-Invoice Number",
+    "6": "I-Container No.",
+    "7": "I-Country of Origin",
+    "8": "I-Currency",
+    "9": "I-HS Code",
+    "10": "I-Invoice Number",
+    "11": "O"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Cargo Value": 0,
+    "B-Container No.": 1,
+    "B-Country of Origin": 2,
+    "B-Currency": 3,
+    "B-HS Code": 4,
+    "B-Invoice Number": 5,
+    "I-Container No.": 6,
+    "I-Country of Origin": 7,
+    "I-Currency": 8,
+    "I-HS Code": 9,
+    "I-Invoice Number": 10,
+    "O": 11
+  },
+  "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": "4.50.0",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

model.safetensors

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preprocessor_config.json

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

runs/Mar26_14-30-52_HYPERTALOS/events.out.tfevents.1742992253.HYPERTALOS.3700.0

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "add_prefix_space": true,
+  "added_tokens_decoder": {
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