End of training

README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+license: mit
+base_model: microsoft/layoutlm-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutlm-FUNSDxSynthetic
+  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-FUNSDxSynthetic
+
+This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5960
+- Eader: {'precision': 0.3673469387755102, 'recall': 0.21686746987951808, 'f1': 0.27272727272727276, 'number': 83}
+- Nswer: {'precision': 0.4124087591240876, 'recall': 0.551219512195122, 'f1': 0.4718162839248434, 'number': 205}
+- Uestion: {'precision': 0.34296028880866425, 'recall': 0.41125541125541126, 'f1': 0.3740157480314961, 'number': 231}
+- Overall Precision: 0.3767
+- Overall Recall: 0.4355
+- Overall F1: 0.4039
+- Overall Accuracy: 0.7754
+
+## 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 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: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Eader                                                                                                      | Nswer                                                                                                      | Uestion                                                                                                    | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 1.237         | 1.0   | 12   | 1.0264          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 83}                                                 | {'precision': 0.11783960720130933, 'recall': 0.35121951219512193, 'f1': 0.1764705882352941, 'number': 205} | {'precision': 0.10819672131147541, 'recall': 0.2857142857142857, 'f1': 0.15695600475624258, 'number': 231} | 0.1130            | 0.2659         | 0.1586     | 0.6411           |
+| 0.9388        | 2.0   | 24   | 0.7817          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 83}                                                 | {'precision': 0.2572944297082228, 'recall': 0.47317073170731705, 'f1': 0.3333333333333333, 'number': 205}  | {'precision': 0.22606382978723405, 'recall': 0.36796536796536794, 'f1': 0.2800658978583196, 'number': 231} | 0.2395            | 0.3507         | 0.2846     | 0.7290           |
+| 0.7272        | 3.0   | 36   | 0.6507          | {'precision': 0.1935483870967742, 'recall': 0.07228915662650602, 'f1': 0.10526315789473682, 'number': 83}  | {'precision': 0.34983498349834985, 'recall': 0.5170731707317073, 'f1': 0.41732283464566927, 'number': 205} | {'precision': 0.33766233766233766, 'recall': 0.45021645021645024, 'f1': 0.3858998144712431, 'number': 231} | 0.3364            | 0.4162         | 0.3721     | 0.7760           |
+| 0.5653        | 4.0   | 48   | 0.6198          | {'precision': 0.17543859649122806, 'recall': 0.12048192771084337, 'f1': 0.14285714285714288, 'number': 83} | {'precision': 0.3806228373702422, 'recall': 0.5365853658536586, 'f1': 0.44534412955465585, 'number': 205}  | {'precision': 0.3413793103448276, 'recall': 0.42857142857142855, 'f1': 0.3800383877159309, 'number': 231}  | 0.3443            | 0.4220         | 0.3792     | 0.7709           |
+| 0.5199        | 5.0   | 60   | 0.5949          | {'precision': 0.3269230769230769, 'recall': 0.20481927710843373, 'f1': 0.2518518518518518, 'number': 83}   | {'precision': 0.4124087591240876, 'recall': 0.551219512195122, 'f1': 0.4718162839248434, 'number': 205}    | {'precision': 0.3309608540925267, 'recall': 0.4025974025974026, 'f1': 0.36328125000000006, 'number': 231}  | 0.3674            | 0.4297         | 0.3961     | 0.7778           |
+| 0.457         | 6.0   | 72   | 0.5960          | {'precision': 0.3673469387755102, 'recall': 0.21686746987951808, 'f1': 0.27272727272727276, 'number': 83}  | {'precision': 0.4124087591240876, 'recall': 0.551219512195122, 'f1': 0.4718162839248434, 'number': 205}    | {'precision': 0.34296028880866425, 'recall': 0.41125541125541126, 'f1': 0.3740157480314961, 'number': 231} | 0.3767            | 0.4355         | 0.4039     | 0.7754           |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

logs/events.out.tfevents.1741600536.DESKTOP-HA84SVN.94162.7

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f14456825614728adcbb0c1f21a7623168f78ee6b98824a59d3bd19a7ad19ea
-size 8734
+oid sha256:7057ccacaf5906cc326dab2b1b5f6dbd4842e10102d4d39689aeca94f1cc81a6
+size 9784

preprocessor_config.json

@@ -0,0 +1,13 @@
+{
+  "apply_ocr": true,
+  "do_resize": true,
+  "image_processor_type": "LayoutLMv2ImageProcessor",
+  "ocr_lang": null,
+  "processor_class": "LayoutLMv2Processor",
+  "resample": 2,
+  "size": {
+    "height": 224,
+    "width": 224
+  },
+  "tesseract_config": ""
+}

special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,81 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "apply_ocr": false,
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "cls_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "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]"
+}