End of training

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+license: mit
+base_model: microsoft/layoutlm-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- funsd
+model-index:
+- name: layoutlm-funsd
+  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. -->
+
+# layoutlm-funsd
+
+This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the funsd dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8456
+- Answer: {'precision': 0.5559701492537313, 'recall': 0.5525339925834364, 'f1': 0.5542467451952883, 'number': 809}
+- Header: {'precision': 0.2391304347826087, 'recall': 0.09243697478991597, 'f1': 0.13333333333333333, 'number': 119}
+- Question: {'precision': 0.674055829228243, 'recall': 0.7708920187793428, 'f1': 0.7192290845378887, 'number': 1065}
+- Overall Precision: 0.6185
+- Overall Recall: 0.6417
+- Overall F1: 0.6299
+- Overall Accuracy: 0.7467
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- 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
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Answer                                                                                                   | Header                                                                                                      | Question                                                                                                 | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 1.0112        | 1.0   | 10   | 0.9155          | {'precision': 0.505938242280285, 'recall': 0.5265760197775031, 'f1': 0.5160508782556026, 'number': 809}  | {'precision': 0.17647058823529413, 'recall': 0.05042016806722689, 'f1': 0.07843137254901959, 'number': 119} | {'precision': 0.6454248366013072, 'recall': 0.7417840375586855, 'f1': 0.690257754477938, 'number': 1065} | 0.5819            | 0.6131         | 0.5971     | 0.7295           |
+| 0.7911        | 2.0   | 20   | 0.8456          | {'precision': 0.5559701492537313, 'recall': 0.5525339925834364, 'f1': 0.5542467451952883, 'number': 809} | {'precision': 0.2391304347826087, 'recall': 0.09243697478991597, 'f1': 0.13333333333333333, 'number': 119}  | {'precision': 0.674055829228243, 'recall': 0.7708920187793428, 'f1': 0.7192290845378887, 'number': 1065} | 0.6185            | 0.6417         | 0.6299     | 0.7467           |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

logs/events.out.tfevents.1742179228.74f02cae589e.1888601.1

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preprocessor_config.json

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+{
+  "apply_ocr": true,
+  "do_resize": true,
+  "image_processor_type": "LayoutLMv2ImageProcessor",
+  "ocr_lang": null,
+  "processor_class": "LayoutLMv2Processor",
+  "resample": 2,
+  "size": {
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+}

special_tokens_map.json

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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

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+  "do_basic_tokenize": true,
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+  "extra_special_tokens": {},
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+  "model_max_length": 512,
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+  "only_label_first_subword": true,
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+  "pad_token_box": [
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+  "processor_class": "LayoutLMv2Processor",
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+  "strip_accents": null,
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+  "tokenizer_class": "LayoutLMv2Tokenizer",
+  "unk_token": "[UNK]"
+}