End of training

README.md

@@ -0,0 +1,114 @@
+---
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
+tags:
+- generated_from_trainer
+datasets:
+- format_dataset
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: reciept-model-2500
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: format_dataset
+      type: format_dataset
+      config: assesment dataset
+      split: test
+      args: assesment dataset
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9673366834170855
+    - name: Recall
+      type: recall
+      value: 0.9625
+    - name: F1
+      type: f1
+      value: 0.9649122807017544
+    - name: Accuracy
+      type: accuracy
+      value: 0.9993105033325672
+---
+
+<!-- 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. -->
+
+# reciept-model-2500
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the format_dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0043
+- Precision: 0.9673
+- Recall: 0.9625
+- F1: 0.9649
+- Accuracy: 0.9993
+
+## 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
+- training_steps: 2500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.62  | 100  | 0.0150          | 0.8575    | 0.8725 | 0.8649 | 0.9972   |
+| No log        | 1.25  | 200  | 0.0075          | 0.8756    | 0.9325 | 0.9031 | 0.9979   |
+| No log        | 1.88  | 300  | 0.0154          | 0.8744    | 0.8875 | 0.8809 | 0.9973   |
+| No log        | 2.5   | 400  | 0.0118          | 0.8881    | 0.9525 | 0.9192 | 0.9982   |
+| 0.0029        | 3.12  | 500  | 0.0091          | 0.9158    | 0.925  | 0.9204 | 0.9983   |
+| 0.0029        | 3.75  | 600  | 0.0167          | 0.8720    | 0.9025 | 0.8870 | 0.9975   |
+| 0.0029        | 4.38  | 700  | 0.0092          | 0.9183    | 0.9275 | 0.9229 | 0.9983   |
+| 0.0029        | 5.0   | 800  | 0.0113          | 0.8843    | 0.9175 | 0.9006 | 0.9979   |
+| 0.0029        | 5.62  | 900  | 0.0106          | 0.9349    | 0.8975 | 0.9158 | 0.9982   |
+| 0.0017        | 6.25  | 1000 | 0.0043          | 0.9673    | 0.9625 | 0.9649 | 0.9993   |
+| 0.0017        | 6.88  | 1100 | 0.0044          | 0.9602    | 0.965  | 0.9626 | 0.9993   |
+| 0.0017        | 7.5   | 1200 | 0.0118          | 0.9246    | 0.92   | 0.9223 | 0.9982   |
+| 0.0017        | 8.12  | 1300 | 0.0067          | 0.9406    | 0.95   | 0.9453 | 0.9988   |
+| 0.0017        | 8.75  | 1400 | 0.0083          | 0.9409    | 0.955  | 0.9479 | 0.9989   |
+| 0.001         | 9.38  | 1500 | 0.0060          | 0.9495    | 0.94   | 0.9447 | 0.9988   |
+| 0.001         | 10.0  | 1600 | 0.0078          | 0.9369    | 0.9275 | 0.9322 | 0.9985   |
+| 0.001         | 10.62 | 1700 | 0.0093          | 0.9248    | 0.9525 | 0.9384 | 0.9986   |
+| 0.001         | 11.25 | 1800 | 0.0097          | 0.9062    | 0.9425 | 0.9240 | 0.9983   |
+| 0.001         | 11.88 | 1900 | 0.0100          | 0.9098    | 0.9325 | 0.9210 | 0.9982   |
+| 0.0006        | 12.5  | 2000 | 0.0111          | 0.9113    | 0.925  | 0.9181 | 0.9981   |
+| 0.0006        | 13.12 | 2100 | 0.0107          | 0.9275    | 0.9275 | 0.9275 | 0.9983   |
+| 0.0006        | 13.75 | 2200 | 0.0105          | 0.9279    | 0.9325 | 0.9302 | 0.9984   |
+| 0.0006        | 14.38 | 2300 | 0.0109          | 0.9325    | 0.9325 | 0.9325 | 0.9985   |
+| 0.0006        | 15.0  | 2400 | 0.0109          | 0.9325    | 0.9325 | 0.9325 | 0.9985   |
+| 0.0003        | 15.62 | 2500 | 0.0109          | 0.9325    | 0.9325 | 0.9325 | 0.9985   |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

@@ -0,0 +1,50 @@
+{
+  "_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": "Ignore",
+    "1": "B-total_amount",
+    "2": "I-total_amount"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-total_amount": 1,
+    "I-total_amount": 2,
+    "Ignore": 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": "4.38.0.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 sha256:204d9049f51ebfaba83eef77c268d78f9630657e40dbcdee4a0b2c8010f199b1
+size 501343228

preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "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": ""
+}

runs/Feb05_15-24-58_b6fc4add67b8/events.out.tfevents.1707146704.b6fc4add67b8.155.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a24fdf0c33d2960dfcd1850545cbd97ff0e1feb857d6ea5827a26cc00b07dcb
+size 17899

runs/Feb05_15-24-58_b6fc4add67b8/events.out.tfevents.1707148705.b6fc4add67b8.155.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4fc8d3d67dd85c1cd876f8c6f4237ca60dd036353bab7e50b8a223bfbda1454
+size 560

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:c0e95e9756a122371c0b59c24ba36af03ec91294133c771320b1594e798c5e1b
+size 4728