update model card README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutxlm-tokenclass-finetuned
+  results: []
+---
+
+<!-- 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. -->
+
+# layoutxlm-tokenclass-finetuned
+
+This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2039
+- Answer Precision: 0.9231
+- Answer Recall: 0.9180
+- Answer F1: 0.9205
+- Answer Number: 366
+- Header Precision: 0.8194
+- Header Recall: 0.9219
+- Header F1: 0.8676
+- Header Number: 64
+- Question Precision: 0.9115
+- Question Recall: 0.9428
+- Question F1: 0.9269
+- Question Number: 437
+- Overall Precision: 0.9088
+- Overall Recall: 0.9308
+- Overall F1: 0.9197
+- Overall Accuracy: 0.9758
+
+## 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
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 5000
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3