update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: spelling-correction-english-base-location-unique-2
+  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. -->
+
+# spelling-correction-english-base-location-unique-2
+
+This model is a fine-tuned version of [oliverguhr/spelling-correction-english-base](https://huggingface.co/oliverguhr/spelling-correction-english-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9149
+- Cer: 0.1747
+
+## 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: 70
+- eval_batch_size: 70
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 470  | 1.0012          | 0.1850 |
+| 1.2217        | 2.0   | 940  | 0.9337          | 0.1747 |
+| 1.0032        | 3.0   | 1410 | 0.9149          | 0.1747 |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.2
+- Tokenizers 0.12.1