Training complete

README.md

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+---
+library_name: transformers
+license: mit
+base_model: vinai/bartpho-syllable
+tags:
+- text2text-generation
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: vn-spelling-correction
+  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. -->
+
+# vn-spelling-correction
+
+This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3252
+- Model Preparation Time: 0.0072
+- Sacrebleu: 34.6754
+
+## 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: 1e-05
+- train_batch_size: 12
+- eval_batch_size: 48
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 48
+- 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
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

runs/Oct10_17-58-54_fc45c9900bc0/events.out.tfevents.1760119524.fc45c9900bc0.509.3

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