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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: trocr-base-handwritten-OCR-handwriting_recognition_v2
+  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-base-handwritten-OCR-handwriting_recognition_v2
+
+This model is a fine-tuned version of [microsoft/trocr-base-handwritten](https://huggingface.co/microsoft/trocr-base-handwritten) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2470
+- Cer: 0.0360
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4292        | 1.0   | 2500 | 0.4332          | 0.0679 |
+| 0.2521        | 2.0   | 5000 | 0.2767          | 0.0483 |
+| 0.1049        | 3.0   | 7500 | 0.2470          | 0.0360 |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.12.1
+- Datasets 2.8.0
+- Tokenizers 0.12.1