Update README.md

README.md

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----
-license: mit
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+---
+license: mit
+tags:
+- generated_from_trainer
+base_model: naver-clova-ix/donut-base
+datasets:
+- imagefolder
+model-index:
+- name: invoice_extraction_20240816_ana_wrong_aug4x_ROC_retrain
+  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. -->
+
+# invoice_extraction_20240816_ana_wrong_aug4x_retrain
+
+This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
+
+## Model description
+
+Trained from Donut base model (naver-clova-ix/donut-base) with Ana v1 model's training data but augmented the ones that got the invoice date wrong even when overfitted. The training is done with ROC formatted date.
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+Train data: 1463 samples
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-06
+- 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
+- num_epochs: 20
+
+### Training results
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.14.5
+- Tokenizers 0.15.2