End of training

README.md

@@ -0,0 +1,67 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutlm-doclaynet-test
+  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-doclaynet-test
+
+This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3457
+- Footer: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 256}
+- Header: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 95}
+- Able: {'precision': 0.043478260869565216, 'recall': 0.13671875, 'f1': 0.06597549481621112, 'number': 256}
+- Aption: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 64}
+- Ext: {'precision': 0.07320099255583126, 'recall': 0.12854030501089325, 'f1': 0.0932806324110672, 'number': 459}
+- Icture: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 49}
+- Itle: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10}
+- Ootnote: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1}
+- Overall Precision: 0.0583
+- Overall Recall: 0.0790
+- Overall F1: 0.0671
+- Overall Accuracy: 0.9150
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Footer                                                      | Header                                                     | Able                                                                                                | Aption                                                     | Ext                                                                                                        | Icture                                                     | Itle                                                       | Ootnote                                                   | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------:|:----------------------------------------------------------:|:---------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 0.7273        | 1.0   | 43   | 0.3457          | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 256} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 95} | {'precision': 0.043478260869565216, 'recall': 0.13671875, 'f1': 0.06597549481621112, 'number': 256} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 64} | {'precision': 0.07320099255583126, 'recall': 0.12854030501089325, 'f1': 0.0932806324110672, 'number': 459} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 49} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 10} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1} | 0.0583            | 0.0790         | 0.0671     | 0.9150           |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.12.1
+- Datasets 2.9.0
+- Tokenizers 0.13.2

logs/events.out.tfevents.1678655046.Pedros-MacBook-Air.local.95418.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79da52498883b039e042f54a9f2eda01794c1bf83b1ca35c9939b569ffa483ac
-size 4945
+oid sha256:9826f8be4affe20b682b8ca544be6d11d3dd32a8b589753f788c97777434acea
+size 5293

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": ""
+}

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 +1,39 @@
+{
+  "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,
+  "name_or_path": "microsoft/layoutlmv2-base-uncased",
+  "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]"
+}