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_2023-07-23_g025
+  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_2023-07-23_g025
+
+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: 0.2244
+- Accuracy: 0.9394
+- Exit 0 Accuracy: 0.2721
+- Exit 1 Accuracy: 0.4875
+- Exit 2 Accuracy: 0.8051
+- Exit 3 Accuracy: 0.8840
+- Exit 4 Accuracy: 0.9339
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|
+| 0.5909        | 1.0   | 2222  | 0.2945          | 0.9158   | 0.2021          | 0.3569          | 0.7091          | 0.8143          | 0.9092          |
+| 0.4951        | 2.0   | 4444  | 0.2469          | 0.9292   | 0.2262          | 0.4336          | 0.7677          | 0.8614          | 0.9258          |
+| 0.4279        | 3.0   | 6666  | 0.2281          | 0.9336   | 0.2530          | 0.4682          | 0.7898          | 0.8768          | 0.9302          |
+| 0.39          | 4.0   | 8888  | 0.2241          | 0.9385   | 0.2600          | 0.483           | 0.8008          | 0.8827          | 0.9328          |
+| 0.3602        | 5.0   | 11110 | 0.2244          | 0.9394   | 0.2721          | 0.4875          | 0.8051          | 0.8840          | 0.9339          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1.post200
+- Datasets 2.9.0
+- Tokenizers 0.13.2