Training in progress epoch 0

README.md

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+---
+license: mit
+base_model: microsoft/layoutlm-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: cor-c/layoutlm-cord-tf-colab
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# cor-c/layoutlm-cord-tf-colab
+
+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:
+- Train Loss: 1.3249
+- Validation Loss: 0.5218
+- Train Overall Precision: 0.8344
+- Train Overall Recall: 0.8318
+- Train Overall F1: 0.8331
+- Train Overall Accuracy: 0.8744
+- Epoch: 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:
+- optimizer: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
+|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
+| 1.3249     | 0.5218          | 0.8344                  | 0.8318               | 0.8331           | 0.8744                 | 0     |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- TensorFlow 2.15.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/layoutlm-base-uncased",
+  "architectures": [
+    "LayoutLMForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "I-menu.cnt",
+    "2": "I-menu.discountprice",
+    "3": "I-menu.nm",
+    "4": "I-menu.num",
+    "5": "I-menu.price",
+    "6": "I-menu.sub_cnt",
+    "7": "I-menu.sub_nm",
+    "8": "I-menu.sub_price",
+    "9": "I-menu.unitprice",
+    "10": "I-sub_total.discount_price",
+    "11": "I-sub_total.etc",
+    "12": "I-sub_total.service_price",
+    "13": "I-sub_total.subtotal_price",
+    "14": "I-sub_total.tax_price",
+    "15": "I-total.cashprice",
+    "16": "I-total.changeprice",
+    "17": "I-total.creditcardprice",
+    "18": "I-total.emoneyprice",
+    "19": "I-total.menuqty_cnt",
+    "20": "I-total.menutype_cnt",
+    "21": "I-total.total_etc",
+    "22": "I-total.total_price"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "I-menu.cnt": 1,
+    "I-menu.discountprice": 2,
+    "I-menu.nm": 3,
+    "I-menu.num": 4,
+    "I-menu.price": 5,
+    "I-menu.sub_cnt": 6,
+    "I-menu.sub_nm": 7,
+    "I-menu.sub_price": 8,
+    "I-menu.unitprice": 9,
+    "I-sub_total.discount_price": 10,
+    "I-sub_total.etc": 11,
+    "I-sub_total.service_price": 12,
+    "I-sub_total.subtotal_price": 13,
+    "I-sub_total.tax_price": 14,
+    "I-total.cashprice": 15,
+    "I-total.changeprice": 16,
+    "I-total.creditcardprice": 17,
+    "I-total.emoneyprice": 18,
+    "I-total.menuqty_cnt": 19,
+    "I-total.menutype_cnt": 20,
+    "I-total.total_etc": 21,
+    "I-total.total_price": 22,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 512,
+  "model_type": "layoutlm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

tf_model.h5

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