| --- |
| license: afl-3.0 |
| datasets: |
| - fhswf/german_handwriting |
| language: |
| - de |
| metrics: |
| - cer |
| base_model: |
| - microsoft/trocr-small-handwritten |
| --- |
| |
| # EpsilonGreedy/TrOCR_small_german_handwritten |
| |
| This is a small 250mio german handwriting ocr model. <br> |
| It works best on images of coherent lines or phrases of text. <br> |
| Does not work on multiline images. <br> |
| You can find training and eval metrics in the metrics tab <br> <br> |
| |
| Only evaluated: CER of around 4.4% <br> |
| You can find the big brother over here (https://huggingface.co/fhswf/TrOCR_german_handwritten) |
| which has CER 4.1% and WER of 17.5%. So WER will be analogous. |
| |
| Thanks to Fachhochschule Südwestfalen |
| (https://huggingface.co/fhswf) for the great dataset (https://huggingface.co/datasets/fhswf/german_handwriting). |
| Further thanks to:<br> |
| Microsoft for the base model.<br> |
| Google for letting me train on kaggle for free! (https://www.kaggle.com/code/treeinsight/trocr-german-small-finetune)<br> |
| Huggingface for hosting this model. |
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