End of training

README.md

@@ -0,0 +1,70 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutlm-synth3
+  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-synth3
+
+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: 0.0021
+- Ank Address: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}
+- Ank Name: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}
+- Ayee Address: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}
+- Ayee Name: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}
+- Icr: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}
+- Mount: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}
+- Overall Precision: 1.0
+- Overall Recall: 1.0
+- Overall F1: 1.0
+- Overall 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Ank Address                                                | Ank Name                                                   | Ayee Address                                                                                            | Ayee Name                                                                                               | Icr                                                        | Mount                                                      | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 0.9365        | 1.0   | 20   | 0.1057          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 0.9487179487179487, 'recall': 0.9487179487179487, 'f1': 0.9487179487179487, 'number': 39} | {'precision': 0.9487179487179487, 'recall': 0.9487179487179487, 'f1': 0.9487179487179487, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | 0.9829            | 0.9829         | 0.9829     | 0.9976           |
+| 0.0449        | 2.0   | 40   | 0.0058          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0075        | 3.0   | 60   | 0.0028          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.005         | 4.0   | 80   | 0.0022          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0042        | 5.0   | 100  | 0.0021          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39}                                              | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 39} | 1.0               | 1.0            | 1.0        | 1.0              |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2

logs/events.out.tfevents.1679044890.920446f35b44.499.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fbe5b61a473d479b42e610b12d217a3043394ce581c09e9616759965ab9c9e6d
-size 4799
+oid sha256:299bd0145135278810546ef59742f174287a1ca0f05462b8f0a653ae895b03b8
+size 7743

preprocessor_config.json

@@ -0,0 +1,14 @@
+{
+  "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": ""
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a88bb0295a7527d95fe25c609d67deefd6b175043d7888318bcd80ae92905258
+oid sha256:0420a97687ea79e83c93f53af9b855aa7fa0dc421358e9b8637bf72eccf62039
 size 450605317

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,38 @@
+{
+  "additional_special_tokens": null,
+  "apply_ocr": false,
+  "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
+  ],
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "LayoutLMv2Tokenizer",
+  "unk_token": "[UNK]"
+}