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-invoice-tf
+  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-invoice-tf
+
+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: 2.3852
+- Validation Loss: 2.0674
+- Train Overall Precision: 0.0
+- Train Overall Recall: 0.0
+- Train Overall F1: 0.0
+- Train Overall Accuracy: 0.2968
+- 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: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
+|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
+| 2.3852     | 2.0674          | 0.0                     | 0.0                  | 0.0              | 0.2968                 | 0     |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- TensorFlow 2.16.1
+- Datasets 2.19.1
+- 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": "document.type",
+    "1": "date.invoice",
+    "2": "number.invoice",
+    "3": "duedate.invoice",
+    "4": "goods.info",
+    "5": "total.total",
+    "6": "discount.total",
+    "7": "net.total",
+    "8": "vat.total",
+    "9": "other",
+    "10": "name.supplier",
+    "11": "info.supplier",
+    "12": "name.client",
+    "13": "info.client"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "date.invoice": 1,
+    "discount.total": 6,
+    "document.type": 0,
+    "duedate.invoice": 3,
+    "goods.info": 4,
+    "info.client": 13,
+    "info.supplier": 11,
+    "name.client": 12,
+    "name.supplier": 10,
+    "net.total": 7,
+    "number.invoice": 2,
+    "other": 9,
+    "total.total": 5,
+    "vat.total": 8
+  },
+  "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": "4.41.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

tf_model.h5

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+oid sha256:cf1f5272411a159c5cbbade781b7d5c08a9eb6ff165f2c9c29cd60cc501cdc1f
+size 450850760