update model card README.md

README.md

@@ -0,0 +1,64 @@
+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: EElayoutlmv3_rvl-cdip_single_10_2023-04-14
+  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_rvl-cdip_single_10_2023-04-14
+
+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: 16.6313
+- Accuracy: {'accuracy': 0.1}
+- Exit 0 Accuracy: 0.1062
+- Exit 1 Accuracy: 0.0625
+- Exit 2 Accuracy: 0.0813
+- Exit 3 Accuracy: 0.0625
+- Exit 4 Accuracy: 0.0625
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy          | Exit 0 Accuracy | Exit 1 Accuracy | Exit 2 Accuracy | Exit 3 Accuracy | Exit 4 Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|
+| No log        | 1.0   | 160  | 16.6313         | {'accuracy': 0.1} | 0.1062          | 0.0625          | 0.0813          | 0.0625          | 0.0625          |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.9.0
+- Tokenizers 0.12.1