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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: REPEAT_3wangchanberta-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. -->
+
+# REPEAT_3wangchanberta-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: 2.2267
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4146        | 1.0   | 8561  | 0.6854          |
+| 0.1716        | 2.0   | 17122 | 1.2020          |
+| 0.1353        | 3.0   | 25683 | 2.0329          |
+| 0.115         | 4.0   | 34244 | 2.4918          |
+| 0.1031        | 5.0   | 42805 | 2.2267          |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.13.0+cu116
+- Datasets 1.17.0
+- Tokenizers 0.10.3