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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: trocr-large-printed-e13b_tesseract_MICR_ocr
+  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. -->
+
+# trocr-large-printed-e13b_tesseract_MICR_ocr
+
+This model is a fine-tuned version of [microsoft/trocr-large-printed](https://huggingface.co/microsoft/trocr-large-printed) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2432
+- Cer: 0.0036
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.486         | 1.0   | 841  | 0.5168          | 0.0428 |
+| 0.2187        | 2.0   | 1682 | 0.2432          | 0.0036 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.1
+- Datasets 2.13.1
+- Tokenizers 0.13.3