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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: NEW_OCR_10_8wangchanberta-base-att-spm-uncased
+  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. -->
+
+# NEW_OCR_10_8wangchanberta-base-att-spm-uncased
+
+This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0147
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 0.108         | 1.0   | 10701  | 0.0167          |
+| 0.0161        | 2.0   | 21402  | 0.0140          |
+| 0.0126        | 3.0   | 32103  | 0.0130          |
+| 0.0105        | 4.0   | 42804  | 0.0125          |
+| 0.009         | 5.0   | 53505  | 0.0135          |
+| 0.008         | 6.0   | 64206  | 0.0137          |
+| 0.0074        | 7.0   | 74907  | 0.0139          |
+| 0.0064        | 8.0   | 85608  | 0.0143          |
+| 0.0058        | 9.0   | 96309  | 0.0147          |
+| 0.0054        | 10.0  | 107010 | 0.0147          |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.12.1+cu113
+- Datasets 1.17.0
+- Tokenizers 0.10.3