Update README.md

README.md

@@ -1,3 +1,76 @@
 ---
-license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+datasets:
+- nielsr/funsd-layoutlmv3
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+base_model: microsoft/layoutlmv3-base
+model-index:
+- name: layoutlmv3-finetuned-funsd
+  results:
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: nielsr/funsd-layoutlmv3
+      type: nielsr/funsd-layoutlmv3
+      args: funsd
+    metrics:
+    - type: precision
+      value: 0.9026198714780029
+      name: Precision
+    - type: recall
+      value: 0.913
+      name: Recall
+    - type: f1
+      value: 0.9077802634849614
+      name: F1
+    - type: accuracy
+      value: 0.8330271015158475
+      name: Accuracy
 ---
+
+# layoutlmv3-finetuned-funsd
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the pierreguillou/DocLayNet-large.
+It achieves the following results on the evaluation set:
+- Loss: 0.33888205885887146,
+- Precision: 0.8478835766832817,
+- Recall: 0.8934488524091807,
+- F1: 0.8700700634847538,
+- Accuracy: 0.9574140990541197
+
+The script for training can be found here: https://github.com/huggingface/transformers/tree/main/examples/research_projects/layoutlmv3
+
+## 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
+- training_steps: 100000
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 1.11.0+cu115
+- Datasets 2.14.5
+- Tokenizers 0.13.3