End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: char-text-reversal
+  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. -->
+
+# char-text-reversal
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.5670
+- Char Accuracy: 0.0018
+- Sequence Accuracy: 0.0
+- Edit Distance: 104.6
+
+## 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: 0.0001
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Char Accuracy | Sequence Accuracy | Edit Distance |
+|:-------------:|:-----:|:----:|:---------------:|:-------------:|:-----------------:|:-------------:|
+| 4.5902        | 1.0   | 1    | 4.5933          | 0.0009        | 0.0               | 107.2         |
+| 4.5797        | 2.0   | 2    | 4.5881          | 0.0018        | 0.0               | 106.8         |
+| 4.5737        | 3.0   | 3    | 4.5834          | 0.0018        | 0.0               | 106.5         |
+| 4.5672        | 4.0   | 4    | 4.5793          | 0.0018        | 0.0               | 105.9         |
+| 4.5625        | 5.0   | 5    | 4.5758          | 0.0018        | 0.0               | 105.5         |
+| 4.5624        | 6.0   | 6    | 4.5729          | 0.0018        | 0.0               | 105.3         |
+| 4.554         | 7.0   | 7    | 4.5706          | 0.0018        | 0.0               | 105.0         |
+| 4.554         | 8.0   | 8    | 4.5688          | 0.0018        | 0.0               | 104.9         |
+| 4.5497        | 9.0   | 9    | 4.5676          | 0.0018        | 0.0               | 104.8         |
+| 4.5493        | 10.0  | 10   | 4.5670          | 0.0018        | 0.0               | 104.6         |
+
+
+### Framework versions
+
+- Transformers 4.55.4
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.4

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