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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: REPEAT622_1wangchanberta-base-att-spm-uncased
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # REPEAT622_1wangchanberta-base-att-spm-uncased
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1400
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.4528 | 1.0 | 9531 | 0.1904 |
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+ | 0.2094 | 2.0 | 19062 | 0.1575 |
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+ | 0.1485 | 3.0 | 28593 | 0.1394 |
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+ | 0.1252 | 4.0 | 38124 | 0.1399 |
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+ | 0.1109 | 5.0 | 47655 | 0.1400 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.15.0
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+ - Pytorch 1.13.0+cu116
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+ - Datasets 1.17.0
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+ - Tokenizers 0.10.3