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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: REPEAT622_1_10_8
+  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. -->
+
+# REPEAT622_1_10_8
+
+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: 3.1449
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3564        | 1.0   | 9531  | 0.6554          |
+| 0.1645        | 2.0   | 19062 | 0.9331          |
+| 0.1333        | 3.0   | 28593 | 1.1128          |
+| 0.1148        | 4.0   | 38124 | 1.2805          |
+| 0.1035        | 5.0   | 47655 | 1.9552          |
+| 0.0875        | 6.0   | 57186 | 2.5004          |
+| 0.0767        | 7.0   | 66717 | 2.9955          |
+| 0.0684        | 8.0   | 76248 | 2.7516          |
+| 0.0616        | 9.0   | 85779 | 2.9578          |
+| 0.0572        | 10.0  | 95310 | 3.1449          |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.13.1+cu116
+- Datasets 1.17.0
+- Tokenizers 0.10.3