Upload TFLayoutLMForTokenClassification

README.md

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+---
+license: mit
+base_model: microsoft/layoutlm-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: layoutlm-funsd-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. -->
+
+# layoutlm-funsd-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: 0.2471
+- Validation Loss: 0.6741
+- Train Overall Precision: 0.7311
+- Train Overall Recall: 0.7858
+- Train Overall F1: 0.7574
+- Train Overall Accuracy: 0.8104
+- Epoch: 7
+
+## 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 |
+|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
+| 1.7162     | 1.4302          | 0.2735                  | 0.3026               | 0.2873           | 0.4851                 | 0     |
+| 1.1601     | 0.8705          | 0.5728                  | 0.6708               | 0.6180           | 0.7254                 | 1     |
+| 0.7538     | 0.7479          | 0.6533                  | 0.7055               | 0.6784           | 0.7572                 | 2     |
+| 0.5704     | 0.6795          | 0.6686                  | 0.7582               | 0.7106           | 0.7936                 | 3     |
+| 0.4379     | 0.6239          | 0.7022                  | 0.7762               | 0.7374           | 0.8062                 | 4     |
+| 0.3470     | 0.6538          | 0.7226                  | 0.7842               | 0.7522           | 0.7986                 | 5     |
+| 0.2908     | 0.6827          | 0.7033                  | 0.7777               | 0.7386           | 0.7971                 | 6     |
+| 0.2471     | 0.6741          | 0.7311                  | 0.7858               | 0.7574           | 0.8104                 | 7     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- TensorFlow 2.15.0
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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": "B-HEADER",
+    "2": "I-HEADER",
+    "3": "B-QUESTION",
+    "4": "I-QUESTION",
+    "5": "B-ANSWER",
+    "6": "I-ANSWER"
+  },
+  "initializer_range": 0.02,
+  "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-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": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fbb0321a06cb31eaa8db5734e20ac0f954844a4ca56f1f3b0e36c1a9bde46e0f
+size 450829256