update model card README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-07-09_weighted
+  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. -->
+
+# EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-07-09_weighted
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2223
+- Accuracy: 0.9400
+- Exit 0 Accuracy: 0.2580
+- Exit 1 Accuracy: 0.5214
+- Exit 2 Accuracy: 0.7781
+- Exit 3 Accuracy: 0.8564
+- Exit 4 Accuracy: 0.9330
+
+## 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: 2e-05
+- train_batch_size: 6
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 24
+- total_train_batch_size: 144
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Exit 0 Accuracy | Exit 1 Accuracy | Exit 2 Accuracy | Exit 3 Accuracy | Exit 4 Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|
+| 2.4115        | 1.0   | 2222  | 0.2907          | 0.9172   | 0.209           | 0.3731          | 0.645           | 0.7651          | 0.9109          |
+| 2.0272        | 2.0   | 4444  | 0.2444          | 0.9310   | 0.2243          | 0.4579          | 0.7297          | 0.8172          | 0.9234          |
+| 1.8196        | 3.0   | 6666  | 0.2268          | 0.9350   | 0.2383          | 0.4979          | 0.7589          | 0.8439          | 0.9285          |
+| 1.7287        | 4.0   | 8888  | 0.2216          | 0.9387   | 0.2438          | 0.5163          | 0.7728          | 0.8533          | 0.9315          |
+| 1.6664        | 5.0   | 11110 | 0.2223          | 0.9400   | 0.2580          | 0.5214          | 0.7781          | 0.8564          | 0.9330          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1.post200
+- Datasets 2.9.0
+- Tokenizers 0.13.2