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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: gpt2_tiny_zh-hk-wiki
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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_tiny_zh-hk-wiki
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This model is a fine-tuned version of [jed351/gpt2-tiny-zh-hk](https://huggingface.co/jed351/gpt2-tiny-zh-hk) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3834
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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: 2e-05
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- train_batch_size: 200
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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: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 412 | 3.6481 |
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| 4.0728 | 2.0 | 824 | 3.5399 |
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| 3.757 | 3.0 | 1236 | 3.4889 |
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| 3.6669 | 4.0 | 1648 | 3.4557 |
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| 3.6189 | 5.0 | 2060 | 3.4295 |
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| 3.6189 | 6.0 | 2472 | 3.4129 |
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| 3.5835 | 7.0 | 2884 | 3.3992 |
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| 3.5604 | 8.0 | 3296 | 3.3905 |
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| 3.5434 | 9.0 | 3708 | 3.3849 |
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| 3.537 | 10.0 | 4120 | 3.3834 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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