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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-kl_01_03_hscnspecial-hs_cn
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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-kl_01_03_hscnspecial-hs_cn
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5608
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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: 8
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- eval_batch_size: 4
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- seed: 21
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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_ratio: 0.1
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 73.5326 | 0.02 | 10 | 69.5739 |
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| 46.0984 | 0.04 | 20 | 32.9644 |
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| 13.5448 | 0.06 | 30 | 10.6411 |
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| 6.7693 | 0.08 | 40 | 4.2565 |
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| 2.6755 | 0.1 | 50 | 2.0724 |
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| 1.4407 | 0.12 | 60 | 1.1299 |
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| 1.082 | 0.14 | 70 | 0.9249 |
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| 0.8847 | 0.16 | 80 | 0.7332 |
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| 0.7248 | 0.18 | 90 | 0.6492 |
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| 0.7073 | 0.2 | 100 | 0.6516 |
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| 0.6199 | 0.22 | 110 | 0.6608 |
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| 0.6244 | 0.24 | 120 | 0.6069 |
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| 0.6289 | 0.26 | 130 | 0.6602 |
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| 0.6198 | 0.28 | 140 | 0.5919 |
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| 0.5988 | 0.3 | 150 | 0.6068 |
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| 0.6156 | 0.32 | 160 | 0.5664 |
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| 0.5252 | 0.34 | 170 | 0.5626 |
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| 0.6351 | 0.36 | 180 | 0.5663 |
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| 0.6246 | 0.38 | 190 | 0.5599 |
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| 0.5791 | 0.4 | 200 | 0.5609 |
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| 0.6755 | 0.42 | 210 | 0.5627 |
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| 0.6367 | 0.44 | 220 | 0.5608 |
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### Framework versions
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- Transformers 4.29.0.dev0
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- Pytorch 1.12.0a0+bd13bc6
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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