End of training

README.md

@@ -0,0 +1,66 @@
+---
+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: 1.1493
+- Answer: {'precision': 0.22598870056497175, 'recall': 0.19777503090234858, 'f1': 0.2109426499670402, 'number': 809}
+- Header: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}
+- Question: {'precision': 0.5350523771152297, 'recall': 0.6234741784037559, 'f1': 0.5758889852558543, 'number': 1065}
+- Overall Precision: 0.4228
+- Overall Recall: 0.4134
+- Overall F1: 0.4181
+- Overall Accuracy: 0.6373
+
+## 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: 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 | Answer                                                                                                       | Header                                                      | Question                                                                                                    | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 1.6256        | 1.0   | 10   | 1.4524          | {'precision': 0.05670665212649945, 'recall': 0.06427688504326329, 'f1': 0.060254924681344156, 'number': 809} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119} | {'precision': 0.3111913357400722, 'recall': 0.40469483568075115, 'f1': 0.35183673469387755, 'number': 1065} | 0.2098            | 0.2423         | 0.2249     | 0.4826           |
+| 1.3478        | 2.0   | 20   | 1.2324          | {'precision': 0.14285714285714285, 'recall': 0.1211372064276885, 'f1': 0.1311036789297659, 'number': 809}    | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119} | {'precision': 0.4789156626506024, 'recall': 0.5971830985915493, 'f1': 0.5315503552026745, 'number': 1065}   | 0.3644            | 0.3683         | 0.3664     | 0.5977           |
+| 1.155         | 3.0   | 30   | 1.1493          | {'precision': 0.22598870056497175, 'recall': 0.19777503090234858, 'f1': 0.2109426499670402, 'number': 809}   | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119} | {'precision': 0.5350523771152297, 'recall': 0.6234741784037559, 'f1': 0.5758889852558543, 'number': 1065}   | 0.4228            | 0.4134         | 0.4181     | 0.6373           |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cpu
+- Datasets 2.14.4
+- Tokenizers 0.13.3

logs/events.out.tfevents.1696245739.LAPTOP-VS3LQCIS.17404.2

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preprocessor_config.json

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+{
+  "apply_ocr": true,
+  "do_resize": true,
+  "feature_extractor_type": "LayoutLMv2FeatureExtractor",
+  "image_processor_type": "LayoutLMv2ImageProcessor",
+  "ocr_lang": null,
+  "processor_class": "LayoutLMv2Processor",
+  "resample": 2,
+  "size": {
+    "height": 224,
+    "width": 224
+  },
+  "tesseract_config": ""
+}

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "additional_special_tokens": null,
+  "apply_ocr": false,
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "cls_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "only_label_first_subword": true,
+  "pad_token": "[PAD]",
+  "pad_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "pad_token_label": -100,
+  "processor_class": "LayoutLMv2Processor",
+  "sep_token": "[SEP]",
+  "sep_token_box": [
+    1000,
+    1000,
+    1000,
+    1000
+  ],
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "LayoutLMv2Tokenizer",
+  "unk_token": "[UNK]"
+}