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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt2-thai-romanization
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results: []
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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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# gpt2-thai-romanization
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9597
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- lr_scheduler_warmup_steps: 23741
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.4961 | 1.0 | 2968 | 1.4161 |
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| 1.3384 | 2.0 | 5936 | 1.2793 |
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| 1.2067 | 3.0 | 8904 | 1.1694 |
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| 1.1307 | 4.0 | 11872 | 1.0987 |
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| 1.0965 | 5.0 | 14840 | 1.0531 |
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| 1.045 | 6.0 | 17808 | 1.0233 |
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| 1.0179 | 7.0 | 20776 | 1.0021 |
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| 0.9902 | 8.0 | 23744 | 0.9826 |
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| 0.9405 | 9.0 | 26712 | 0.9660 |
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| 0.9145 | 10.0 | 29680 | 0.9597 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Tokenizers 0.13.2
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