ihebMissaoui/layoutlmv3-fine-tuned-funsd-kie

README.md

@@ -0,0 +1,94 @@
+---
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: 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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/elyadata/Ft%20layoutlmv3%20funsd%20max%20epochs%20100%20%2Cearlystop%3D4%2Cbatch%3D2%2Clr%3D1e-5%20adamw%2CFULL%20models%20params/runs/6zlgssbd)
+# test
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8476
+- Precision: 0.8955
+- Recall: 0.9071
+- F1: 0.9013
+- Accuracy: 0.8691
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 75   | 0.9234          | 0.6139    | 0.7526 | 0.6762 | 0.7416   |
+| No log        | 2.0   | 150  | 0.6101          | 0.7549    | 0.8341 | 0.7925 | 0.7940   |
+| No log        | 3.0   | 225  | 0.5135          | 0.8332    | 0.8882 | 0.8598 | 0.8091   |
+| No log        | 4.0   | 300  | 0.5467          | 0.8189    | 0.8624 | 0.8401 | 0.8109   |
+| No log        | 5.0   | 375  | 0.4879          | 0.8660    | 0.9051 | 0.8851 | 0.8504   |
+| No log        | 6.0   | 450  | 0.5352          | 0.8787    | 0.9180 | 0.8980 | 0.8480   |
+| 0.5752        | 7.0   | 525  | 0.5900          | 0.8730    | 0.8982 | 0.8854 | 0.8343   |
+| 0.5752        | 8.0   | 600  | 0.6014          | 0.8832    | 0.9016 | 0.8923 | 0.8506   |
+| 0.5752        | 9.0   | 675  | 0.6173          | 0.8883    | 0.9126 | 0.9003 | 0.8538   |
+| 0.5752        | 10.0  | 750  | 0.6278          | 0.8787    | 0.9141 | 0.8960 | 0.8571   |
+| 0.5752        | 11.0  | 825  | 0.6573          | 0.8612    | 0.9155 | 0.8876 | 0.8326   |
+| 0.5752        | 12.0  | 900  | 0.7333          | 0.8818    | 0.9006 | 0.8911 | 0.8387   |
+| 0.5752        | 13.0  | 975  | 0.7489          | 0.8888    | 0.9136 | 0.9010 | 0.8502   |
+| 0.1263        | 14.0  | 1050 | 0.7719          | 0.8908    | 0.8997 | 0.8952 | 0.8318   |
+| 0.1263        | 15.0  | 1125 | 0.8295          | 0.8945    | 0.9101 | 0.9022 | 0.8438   |
+| 0.1263        | 16.0  | 1200 | 0.8447          | 0.8798    | 0.9126 | 0.8959 | 0.8465   |
+| 0.1263        | 17.0  | 1275 | 0.8359          | 0.9090    | 0.8932 | 0.9010 | 0.8486   |
+| 0.1263        | 18.0  | 1350 | 0.8430          | 0.8966    | 0.9091 | 0.9028 | 0.8414   |
+| 0.1263        | 19.0  | 1425 | 0.8179          | 0.8854    | 0.9021 | 0.8937 | 0.8400   |
+| 0.0482        | 20.0  | 1500 | 0.8950          | 0.8968    | 0.8982 | 0.8975 | 0.8475   |
+| 0.0482        | 21.0  | 1575 | 0.8790          | 0.9053    | 0.9121 | 0.9087 | 0.8565   |
+| 0.0482        | 22.0  | 1650 | 0.7915          | 0.9056    | 0.9101 | 0.9078 | 0.8595   |
+| 0.0482        | 23.0  | 1725 | 0.8760          | 0.8938    | 0.8952 | 0.8945 | 0.8504   |
+| 0.0482        | 24.0  | 1800 | 0.8320          | 0.9113    | 0.9086 | 0.9100 | 0.8625   |
+| 0.0482        | 25.0  | 1875 | 0.8880          | 0.9017    | 0.9021 | 0.9019 | 0.8538   |
+| 0.0482        | 26.0  | 1950 | 0.8611          | 0.9083    | 0.9101 | 0.9092 | 0.8499   |
+| 0.0163        | 27.0  | 2025 | 0.8747          | 0.9068    | 0.9086 | 0.9077 | 0.8600   |
+| 0.0163        | 28.0  | 2100 | 0.8476          | 0.8955    | 0.9071 | 0.9013 | 0.8691   |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,58 @@
+{
+  "_name_or_path": "microsoft/layoutlmv3-base",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "coordinate_size": 128,
+  "eos_token_id": 2,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-HEADER",
+    "2": "I-HEADER",
+    "3": "B-QUESTION",
+    "4": "I-QUESTION",
+    "5": "B-ANSWER",
+    "6": "I-ANSWER"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ANSWER": 5,
+    "B-HEADER": 1,
+    "B-QUESTION": 3,
+    "I-ANSWER": 6,
+    "I-HEADER": 2,
+    "I-QUESTION": 4,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "patch_size": 16,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.0.dev0",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c268eafa2fcad50f6d6ca4a6a17eb6c8989732d9a0c4330dd4b804f6f3d36d9
+size 501355532

preprocessor_config.json

@@ -0,0 +1,43 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "apply_ocr",
+    "ocr_lang",
+    "tesseract_config",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "apply_ocr": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "LayoutLMv3ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "ocr_lang": null,
+  "processor_class": "LayoutLMv3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  },
+  "tesseract_config": ""
+}

special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,79 @@
+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "apply_ocr": false,
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "cls_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "only_label_first_subword": true,
+  "pad_token": "<pad>",
+  "pad_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "pad_token_label": -100,
+  "processor_class": "LayoutLMv3Processor",
+  "sep_token": "</s>",
+  "sep_token_box": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "tokenizer_class": "LayoutLMv3Tokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0a10385dd78382bbdf1d2925aa46442694230a28c0581ddda1608dddb32e9b5
+size 5048