Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/byt5-small
+tags:
+- generated_from_trainer
+model-index:
+- name: byt5-ocr-correction-3-Feb
+  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. -->
+
+# byt5-ocr-correction-3-Feb
+
+This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3699
+- Cer: 0.1666
+- Cer Raw: 0.1865
+- Exact Match: 0.1572
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Cer    | Cer Raw | Exact Match |
+|:-------------:|:------:|:-----:|:---------------:|:------:|:-------:|:-----------:|
+| 0.3578        | 3.5487 | 20000 | 0.3699          | 0.1666 | 0.1865  | 0.1572      |
+
+
+### Framework versions
+
+- Transformers 4.57.6
+- Pytorch 2.10.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.2

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